s464968/uczenie_maszynowe_zadania
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

archive projects

Browse Source
This commit is contained in:
s464968 2023-07-04 20:42:14 +02:00
commit 9624771a6f
39 changed files with 19440 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
.idea/.gitignore vendored Normal file
View File

@ -0,0 +1,8 @@
# Default ignored files
/shelf/
/workspace.xml
# Editor-based HTTP Client requests
/httpRequests/
# Datasource local storage ignored files
/dataSources/
/dataSources.local.xml

6
.idea/inspectionProfiles/profiles_settings.xml Normal file
View File

@ -0,0 +1,6 @@
<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>

7
.idea/misc.xml Normal file
View File

@ -0,0 +1,7 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.10" project-jdk-type="Python SDK" />
<component name="PyPackaging">
<option name="earlyReleasesAsUpgrades" value="true" />
</component>
</project>

8
.idea/modules.xml Normal file
View File

@ -0,0 +1,8 @@
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/uczenie_maszynowe_zadania.iml" filepath="$PROJECT_DIR$/.idea/uczenie_maszynowe_zadania.iml" />
</modules>
</component>
</project>

8
.idea/uczenie_maszynowe_zadania.iml Normal file
View File

@ -0,0 +1,8 @@
<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$" />
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>

120
.ipynb_checkpoints/zadanie-1-5-checkpoint.ipynb Normal file
View File

@ -0,0 +1,120 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 26,
"id": "da1135f1",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"arr = np.array([4.,7.,2.,6.]).reshape(2,2)\n",
"mat = np.matrix(arr)"
]
},
{
"cell_type": "markdown",
"id": "0108e1d6",
"metadata": {},
"source": [
"Macierze "
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "19ba64f7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[4. 7.]\n",
" [2. 6.]]\n",
"[[4. 7.]\n",
" [2. 6.]]\n"
]
}
],
"source": [
"# obiekty array i matrix wyświetlają się tak samo\n",
"\n",
"print(arr)\n",
"print(mat)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "3f697dfd",
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[0.25 0.14285714]\n",
" [0.5 0.16666667]]\n",
"[[ 0.6 -0.7]\n",
" [-0.2 0.4]]\n"
]
}
],
"source": [
"# jednak dla działania **-1 wynik wychodzi zupełnie inny\n",
"# dla obiektu array działanie **-1 powoduję odwrócenie każdej liczby w tablicy\n",
"# dla obiektu matrix działanie **-1 powoduję odwrócenie całej macierzy tak że 'mat * mat^-1 = 1'\n",
"\n",
"print(arr**-1)\n",
"print(mat**-1)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "ea293b68",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 0.6 -0.7]\n",
" [-0.2 0.4]]\n",
"[[ 0.6 -0.7]\n",
" [-0.2 0.4]]\n"
]
}
],
"source": [
"print(mat**-1)\n",
"print(np.linalg.inv(mat))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

129
cw_1/Untitled.ipynb Normal file
View File

@ -0,0 +1,129 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 19,
"id": "61b00965",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"arr = np.arange(float(1),float(17)).reshape(4,4)\n",
"mat = np.matrix(arr)"
]
},
{
"cell_type": "markdown",
"id": "fba618ad",
"metadata": {},
"source": [
"Macierze "
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "aa353455",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 1. 2. 3. 4.]\n",
" [ 5. 6. 7. 8.]\n",
" [ 9. 10. 11. 12.]\n",
" [13. 14. 15. 16.]]\n",
"[[ 1. 2. 3. 4.]\n",
" [ 5. 6. 7. 8.]\n",
" [ 9. 10. 11. 12.]\n",
" [13. 14. 15. 16.]]\n"
]
}
],
"source": [
"print(arr)\n",
"print(mat)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "177edde8",
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[1. 0.5 0.33333333 0.25 ]\n",
" [0.2 0.16666667 0.14285714 0.125 ]\n",
" [0.11111111 0.1 0.09090909 0.08333333]\n",
" [0.07692308 0.07142857 0.06666667 0.0625 ]]\n"
]
},
{
"ename": "LinAlgError",
"evalue": "Singular matrix",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mLinAlgError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn [22], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(arr\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(mat\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n",
"File \u001b[0;32m~/.local/lib/python3.8/site-packages/numpy/matrixlib/defmatrix.py:231\u001b[0m, in \u001b[0;36mmatrix.__pow__\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m 230\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__pow__\u001b[39m(\u001b[38;5;28mself\u001b[39m, other):\n\u001b[0;32m--> 231\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmatrix_power\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m<__array_function__ internals>:180\u001b[0m, in \u001b[0;36mmatrix_power\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
"File \u001b[0;32m~/.local/lib/python3.8/site-packages/numpy/linalg/linalg.py:643\u001b[0m, in \u001b[0;36mmatrix_power\u001b[0;34m(a, n)\u001b[0m\n\u001b[1;32m 640\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m a\n\u001b[1;32m 642\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m n \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 643\u001b[0m a \u001b[38;5;241m=\u001b[39m \u001b[43minv\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 644\u001b[0m n \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mabs\u001b[39m(n)\n\u001b[1;32m 646\u001b[0m \u001b[38;5;66;03m# short-cuts.\u001b[39;00m\n",
"File \u001b[0;32m<__array_function__ internals>:180\u001b[0m, in \u001b[0;36minv\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
"File \u001b[0;32m~/.local/lib/python3.8/site-packages/numpy/linalg/linalg.py:545\u001b[0m, in \u001b[0;36minv\u001b[0;34m(a)\u001b[0m\n\u001b[1;32m 543\u001b[0m signature \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mD->D\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m isComplexType(t) \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124md->d\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 544\u001b[0m extobj \u001b[38;5;241m=\u001b[39m get_linalg_error_extobj(_raise_linalgerror_singular)\n\u001b[0;32m--> 545\u001b[0m ainv \u001b[38;5;241m=\u001b[39m \u001b[43m_umath_linalg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minv\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msignature\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msignature\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextobj\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 546\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m wrap(ainv\u001b[38;5;241m.\u001b[39mastype(result_t, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m))\n",
"File \u001b[0;32m~/.local/lib/python3.8/site-packages/numpy/linalg/linalg.py:88\u001b[0m, in \u001b[0;36m_raise_linalgerror_singular\u001b[0;34m(err, flag)\u001b[0m\n\u001b[1;32m 87\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_raise_linalgerror_singular\u001b[39m(err, flag):\n\u001b[0;32m---> 88\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m LinAlgError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSingular matrix\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
"\u001b[0;31mLinAlgError\u001b[0m: Singular matrix"
]
}
],
"source": [
"print(arr**-1)\n",
"print(mat**-1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9c8bdb64",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "6470536f",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

3
cw_1/notatki-od-prowadzacego Normal file
View File

@ -0,0 +1,3 @@
# X^+Y^3
# X^2-Y^2
# punkt siadłowy

120
cw_1/zadanie-1-5.ipynb Normal file
View File

@ -0,0 +1,120 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 26,
"id": "da1135f1",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"\n",
"arr = np.array([4.,7.,2.,6.]).reshape(2,2)\n",
"mat = np.matrix(arr)"
]
},
{
"cell_type": "markdown",
"id": "0108e1d6",
"metadata": {},
"source": [
"Macierze "
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "19ba64f7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[4. 7.]\n",
" [2. 6.]]\n",
"[[4. 7.]\n",
" [2. 6.]]\n"
]
}
],
"source": [
"# obiekty array i matrix wyświetlają się tak samo\n",
"\n",
"print(arr)\n",
"print(mat)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "3f697dfd",
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[0.25 0.14285714]\n",
" [0.5 0.16666667]]\n",
"[[ 0.6 -0.7]\n",
" [-0.2 0.4]]\n"
]
}
],
"source": [
"# jednak dla działania **-1 wynik wychodzi zupełnie inny\n",
"# dla obiektu array działanie **-1 powoduję odwrócenie każdej liczby w tablicy\n",
"# dla obiektu matrix działanie **-1 powoduję odwrócenie całej macierzy tak że 'mat * mat^-1 = 1'\n",
"\n",
"print(arr**-1)\n",
"print(mat**-1)"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "ea293b68",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[ 0.6 -0.7]\n",
" [-0.2 0.4]]\n",
"[[ 0.6 -0.7]\n",
" [-0.2 0.4]]\n"
]
}
],
"source": [
"print(mat**-1)\n",
"print(np.linalg.inv(mat))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

6
cw_1/zadanie-1-6-code.py Normal file
View File

@ -0,0 +1,6 @@
import numpy as np
X = np.matrix([[1.,2.,3.],[1.,3.,6.]])
y = np.matrix([[5.],[6.]])
result = ((X.T * X) ** -1) * X.T * y
print(result)

10
cw_2/od_alicji/ZAD2-1.py Normal file
View File

@ -0,0 +1,10 @@
import pandas as pd
import matplotlib.pyplot as plt
data = pd.read_csv("data2.csv")
data = data.to_numpy()
plt.plot(data[:,1], data[:,6], "go")
plt.xlabel("X - 2nd column")
plt.ylabel("Y - 7th column")
plt.show()

19
cw_2/od_alicji/ZAD2-2.py Normal file
View File

@ -0,0 +1,19 @@
import matplotlib.pyplot as plt
import numpy as np
X = np.arange(-1.0, 1.0, 0.025)
a = 9
b = 6
c = 8
Y = (a-4)*(X**2) + (b-5)*X + (c-6)
G = np.exp(X)/(np.exp(X) + 1)
plt.plot(X,Y, 'g', label="F(x) = 5x^2 + x + 2")
plt.plot(X,G, 'y', label="G(x) = e^x/(e^x+1)")
plt.legend(loc="upper left")
plt.show()

19
cw_2/od_alicji/ZAD2-3.py Normal file
View File

@ -0,0 +1,19 @@
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure(figsize=(10, 8))
ax = fig.add_subplot(111, projection="3d")
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
X, Y = np.meshgrid(X, Y)
Z =-1*(X**2 + Y**3)
surf = ax.plot_surface(
X, Y, Z, rstride=1, cstride=1, cmap=cm.jet, linewidth=0, antialiased=True
)
plt.show()

178
cw_2/od_alicji/data2.csv Normal file
View File

@ -0,0 +1,178 @@
1,14.23,1.71,2.43,15.6,127,2.8,3.06,.28,2.29,5.64,1.04,3.92,1065
1,13.2,1.78,2.14,11.2,100,2.65,2.76,.26,1.28,4.38,1.05,3.4,1050
1,13.16,2.36,2.67,18.6,101,2.8,3.24,.3,2.81,5.68,1.03,3.17,1185
1,14.37,1.95,2.5,16.8,113,3.85,3.49,.24,2.18,7.8,.86,3.45,1480
1,13.24,2.59,2.87,21,118,2.8,2.69,.39,1.82,4.32,1.04,2.93,735
1,14.2,1.76,2.45,15.2,112,3.27,3.39,.34,1.97,6.75,1.05,2.85,1450
1,14.39,1.87,2.45,14.6,96,2.5,2.52,.3,1.98,5.25,1.02,3.58,1290
1,14.06,2.15,2.61,17.6,121,2.6,2.51,.31,1.25,5.05,1.06,3.58,1295
1,14.83,1.64,2.17,14,97,2.8,2.98,.29,1.98,5.2,1.08,2.85,1045
1,13.86,1.35,2.27,16,98,2.98,3.15,.22,1.85,7.22,1.01,3.55,1045
1,14.1,2.16,2.3,18,105,2.95,3.32,.22,2.38,5.75,1.25,3.17,1510
1,14.12,1.48,2.32,16.8,95,2.2,2.43,.26,1.57,5,1.17,2.82,1280
1,13.75,1.73,2.41,16,89,2.6,2.76,.29,1.81,5.6,1.15,2.9,1320
1,14.75,1.73,2.39,11.4,91,3.1,3.69,.43,2.81,5.4,1.25,2.73,1150
1,14.38,1.87,2.38,12,102,3.3,3.64,.29,2.96,7.5,1.2,3,1547
1,13.63,1.81,2.7,17.2,112,2.85,2.91,.3,1.46,7.3,1.28,2.88,1310
1,14.3,1.92,2.72,20,120,2.8,3.14,.33,1.97,6.2,1.07,2.65,1280
1,13.83,1.57,2.62,20,115,2.95,3.4,.4,1.72,6.6,1.13,2.57,1130
1,14.19,1.59,2.48,16.5,108,3.3,3.93,.32,1.86,8.7,1.23,2.82,1680
1,13.64,3.1,2.56,15.2,116,2.7,3.03,.17,1.66,5.1,.96,3.36,845
1,14.06,1.63,2.28,16,126,3,3.17,.24,2.1,5.65,1.09,3.71,780
1,12.93,3.8,2.65,18.6,102,2.41,2.41,.25,1.98,4.5,1.03,3.52,770
1,13.71,1.86,2.36,16.6,101,2.61,2.88,.27,1.69,3.8,1.11,4,1035
1,12.85,1.6,2.52,17.8,95,2.48,2.37,.26,1.46,3.93,1.09,3.63,1015
1,13.5,1.81,2.61,20,96,2.53,2.61,.28,1.66,3.52,1.12,3.82,845
1,13.05,2.05,3.22,25,124,2.63,2.68,.47,1.92,3.58,1.13,3.2,830
1,13.39,1.77,2.62,16.1,93,2.85,2.94,.34,1.45,4.8,.92,3.22,1195
1,13.3,1.72,2.14,17,94,2.4,2.19,.27,1.35,3.95,1.02,2.77,1285
1,13.87,1.9,2.8,19.4,107,2.95,2.97,.37,1.76,4.5,1.25,3.4,915
1,14.02,1.68,2.21,16,96,2.65,2.33,.26,1.98,4.7,1.04,3.59,1035
1,13.73,1.5,2.7,22.5,101,3,3.25,.29,2.38,5.7,1.19,2.71,1285
1,13.58,1.66,2.36,19.1,106,2.86,3.19,.22,1.95,6.9,1.09,2.88,1515
1,13.68,1.83,2.36,17.2,104,2.42,2.69,.42,1.97,3.84,1.23,2.87,990
1,13.76,1.53,2.7,19.5,132,2.95,2.74,.5,1.35,5.4,1.25,3,1235
1,13.51,1.8,2.65,19,110,2.35,2.53,.29,1.54,4.2,1.1,2.87,1095
1,13.48,1.81,2.41,20.5,100,2.7,2.98,.26,1.86,5.1,1.04,3.47,920
1,13.28,1.64,2.84,15.5,110,2.6,2.68,.34,1.36,4.6,1.09,2.78,880
1,13.05,1.65,2.55,18,98,2.45,2.43,.29,1.44,4.25,1.12,2.51,1105
1,13.07,1.5,2.1,15.5,98,2.4,2.64,.28,1.37,3.7,1.18,2.69,1020
1,14.22,3.99,2.51,13.2,128,3,3.04,.2,2.08,5.1,.89,3.53,760
1,13.56,1.71,2.31,16.2,117,3.15,3.29,.34,2.34,6.13,.95,3.38,795
1,13.41,3.84,2.12,18.8,90,2.45,2.68,.27,1.48,4.28,.91,3,1035
1,13.88,1.89,2.59,15,101,3.25,3.56,.17,1.7,5.43,.88,3.56,1095
1,13.24,3.98,2.29,17.5,103,2.64,2.63,.32,1.66,4.36,.82,3,680
1,13.05,1.77,2.1,17,107,3,3,.28,2.03,5.04,.88,3.35,885
1,14.21,4.04,2.44,18.9,111,2.85,2.65,.3,1.25,5.24,.87,3.33,1080
1,14.38,3.59,2.28,16,102,3.25,3.17,.27,2.19,4.9,1.04,3.44,1065
1,13.9,1.68,2.12,16,101,3.1,3.39,.21,2.14,6.1,.91,3.33,985
1,14.1,2.02,2.4,18.8,103,2.75,2.92,.32,2.38,6.2,1.07,2.75,1060
1,13.94,1.73,2.27,17.4,108,2.88,3.54,.32,2.08,8.90,1.12,3.1,1260
1,13.05,1.73,2.04,12.4,92,2.72,3.27,.17,2.91,7.2,1.12,2.91,1150
1,13.83,1.65,2.6,17.2,94,2.45,2.99,.22,2.29,5.6,1.24,3.37,1265
1,13.82,1.75,2.42,14,111,3.88,3.74,.32,1.87,7.05,1.01,3.26,1190
1,13.77,1.9,2.68,17.1,115,3,2.79,.39,1.68,6.3,1.13,2.93,1375
1,13.74,1.67,2.25,16.4,118,2.6,2.9,.21,1.62,5.85,.92,3.2,1060
1,13.56,1.73,2.46,20.5,116,2.96,2.78,.2,2.45,6.25,.98,3.03,1120
1,14.22,1.7,2.3,16.3,118,3.2,3,.26,2.03,6.38,.94,3.31,970
1,13.29,1.97,2.68,16.8,102,3,3.23,.31,1.66,6,1.07,2.84,1270
1,13.72,1.43,2.5,16.7,108,3.4,3.67,.19,2.04,6.8,.89,2.87,1285
2,12.37,.94,1.36,10.6,88,1.98,.57,.28,.42,1.95,1.05,1.82,520
2,12.33,1.1,2.28,16,101,2.05,1.09,.63,.41,3.27,1.25,1.67,680
2,12.64,1.36,2.02,16.8,100,2.02,1.41,.53,.62,5.75,.98,1.59,450
2,13.67,1.25,1.92,18,94,2.1,1.79,.32,.73,3.8,1.23,2.46,630
2,12.37,1.13,2.16,19,87,3.5,3.1,.19,1.87,4.45,1.22,2.87,420
2,12.17,1.45,2.53,19,104,1.89,1.75,.45,1.03,2.95,1.45,2.23,355
2,12.37,1.21,2.56,18.1,98,2.42,2.65,.37,2.08,4.6,1.19,2.3,678
2,13.11,1.01,1.7,15,78,2.98,3.18,.26,2.28,5.3,1.12,3.18,502
2,12.37,1.17,1.92,19.6,78,2.11,2,.27,1.04,4.68,1.12,3.48,510
2,13.34,.94,2.36,17,110,2.53,1.3,.55,.42,3.17,1.02,1.93,750
2,12.21,1.19,1.75,16.8,151,1.85,1.28,.14,2.5,2.85,1.28,3.07,718
2,12.29,1.61,2.21,20.4,103,1.1,1.02,.37,1.46,3.05,.906,1.82,870
2,13.86,1.51,2.67,25,86,2.95,2.86,.21,1.87,3.38,1.36,3.16,410
2,13.49,1.66,2.24,24,87,1.88,1.84,.27,1.03,3.74,.98,2.78,472
2,12.99,1.67,2.6,30,139,3.3,2.89,.21,1.96,3.35,1.31,3.5,985
2,11.96,1.09,2.3,21,101,3.38,2.14,.13,1.65,3.21,.99,3.13,886
2,11.66,1.88,1.92,16,97,1.61,1.57,.34,1.15,3.8,1.23,2.14,428
2,13.03,.9,1.71,16,86,1.95,2.03,.24,1.46,4.6,1.19,2.48,392
2,11.84,2.89,2.23,18,112,1.72,1.32,.43,.95,2.65,.96,2.52,500
2,12.33,.99,1.95,14.8,136,1.9,1.85,.35,2.76,3.4,1.06,2.31,750
2,12.7,3.87,2.4,23,101,2.83,2.55,.43,1.95,2.57,1.19,3.13,463
2,12,.92,2,19,86,2.42,2.26,.3,1.43,2.5,1.38,3.12,278
2,12.72,1.81,2.2,18.8,86,2.2,2.53,.26,1.77,3.9,1.16,3.14,714
2,12.08,1.13,2.51,24,78,2,1.58,.4,1.4,2.2,1.31,2.72,630
2,13.05,3.86,2.32,22.5,85,1.65,1.59,.61,1.62,4.8,.84,2.01,515
2,11.84,.89,2.58,18,94,2.2,2.21,.22,2.35,3.05,.79,3.08,520
2,12.67,.98,2.24,18,99,2.2,1.94,.3,1.46,2.62,1.23,3.16,450
2,12.16,1.61,2.31,22.8,90,1.78,1.69,.43,1.56,2.45,1.33,2.26,495
2,11.65,1.67,2.62,26,88,1.92,1.61,.4,1.34,2.6,1.36,3.21,562
2,11.64,2.06,2.46,21.6,84,1.95,1.69,.48,1.35,2.8,1,2.75,680
2,12.08,1.33,2.3,23.6,70,2.2,1.59,.42,1.38,1.74,1.07,3.21,625
2,12.08,1.83,2.32,18.5,81,1.6,1.5,.52,1.64,2.4,1.08,2.27,480
2,12,1.51,2.42,22,86,1.45,1.25,.5,1.63,3.6,1.05,2.65,450
2,12.69,1.53,2.26,20.7,80,1.38,1.46,.58,1.62,3.05,.96,2.06,495
2,12.29,2.83,2.22,18,88,2.45,2.25,.25,1.99,2.15,1.15,3.3,290
2,11.62,1.99,2.28,18,98,3.02,2.26,.17,1.35,3.25,1.16,2.96,345
2,12.47,1.52,2.2,19,162,2.5,2.27,.32,3.28,2.6,1.16,2.63,937
2,11.81,2.12,2.74,21.5,134,1.6,.99,.14,1.56,2.5,.95,2.26,625
2,12.29,1.41,1.98,16,85,2.55,2.5,.29,1.77,2.9,1.23,2.74,428
2,12.37,1.07,2.1,18.5,88,3.52,3.75,.24,1.95,4.5,1.04,2.77,660
2,12.29,3.17,2.21,18,88,2.85,2.99,.45,2.81,2.3,1.42,2.83,406
2,12.08,2.08,1.7,17.5,97,2.23,2.17,.26,1.4,3.3,1.27,2.96,710
2,12.6,1.34,1.9,18.5,88,1.45,1.36,.29,1.35,2.45,1.04,2.77,562
2,12.34,2.45,2.46,21,98,2.56,2.11,.34,1.31,2.8,.8,3.38,438
2,11.82,1.72,1.88,19.5,86,2.5,1.64,.37,1.42,2.06,.94,2.44,415
2,12.51,1.73,1.98,20.5,85,2.2,1.92,.32,1.48,2.94,1.04,3.57,672
2,12.42,2.55,2.27,22,90,1.68,1.84,.66,1.42,2.7,.86,3.3,315
2,12.25,1.73,2.12,19,80,1.65,2.03,.37,1.63,3.4,1,3.17,510
2,12.72,1.75,2.28,22.5,84,1.38,1.76,.48,1.63,3.3,.88,2.42,488
2,12.22,1.29,1.94,19,92,2.36,2.04,.39,2.08,2.7,.86,3.02,312
2,11.61,1.35,2.7,20,94,2.74,2.92,.29,2.49,2.65,.96,3.26,680
2,11.46,3.74,1.82,19.5,107,3.18,2.58,.24,3.58,2.9,.75,2.81,562
2,12.52,2.43,2.17,21,88,2.55,2.27,.26,1.22,2,.9,2.78,325
2,11.76,2.68,2.92,20,103,1.75,2.03,.6,1.05,3.8,1.23,2.5,607
2,11.41,.74,2.5,21,88,2.48,2.01,.42,1.44,3.08,1.1,2.31,434
2,12.08,1.39,2.5,22.5,84,2.56,2.29,.43,1.04,2.9,.93,3.19,385
2,11.03,1.51,2.2,21.5,85,2.46,2.17,.52,2.01,1.9,1.71,2.87,407
2,11.82,1.47,1.99,20.8,86,1.98,1.6,.3,1.53,1.95,.95,3.33,495
2,12.42,1.61,2.19,22.5,108,2,2.09,.34,1.61,2.06,1.06,2.96,345
2,12.77,3.43,1.98,16,80,1.63,1.25,.43,.83,3.4,.7,2.12,372
2,12,3.43,2,19,87,2,1.64,.37,1.87,1.28,.93,3.05,564
2,11.45,2.4,2.42,20,96,2.9,2.79,.32,1.83,3.25,.8,3.39,625
2,11.56,2.05,3.23,28.5,119,3.18,5.08,.47,1.87,6,.93,3.69,465
2,12.42,4.43,2.73,26.5,102,2.2,2.13,.43,1.71,2.08,.92,3.12,365
2,13.05,5.8,2.13,21.5,86,2.62,2.65,.3,2.01,2.6,.73,3.1,380
2,11.87,4.31,2.39,21,82,2.86,3.03,.21,2.91,2.8,.75,3.64,380
2,12.07,2.16,2.17,21,85,2.6,2.65,.37,1.35,2.76,.86,3.28,378
2,12.43,1.53,2.29,21.5,86,2.74,3.15,.39,1.77,3.94,.69,2.84,352
2,11.79,2.13,2.78,28.5,92,2.13,2.24,.58,1.76,3,.97,2.44,466
2,12.37,1.63,2.3,24.5,88,2.22,2.45,.4,1.9,2.12,.89,2.78,342
2,12.04,4.3,2.38,22,80,2.1,1.75,.42,1.35,2.6,.79,2.57,580
3,12.86,1.35,2.32,18,122,1.51,1.25,.21,.94,4.1,.76,1.29,630
3,12.88,2.99,2.4,20,104,1.3,1.22,.24,.83,5.4,.74,1.42,530
3,12.81,2.31,2.4,24,98,1.15,1.09,.27,.83,5.7,.66,1.36,560
3,12.7,3.55,2.36,21.5,106,1.7,1.2,.17,.84,5,.78,1.29,600
3,12.51,1.24,2.25,17.5,85,2,.58,.6,1.25,5.45,.75,1.51,650
3,12.6,2.46,2.2,18.5,94,1.62,.66,.63,.94,7.1,.73,1.58,695
3,12.25,4.72,2.54,21,89,1.38,.47,.53,.8,3.85,.75,1.27,720
3,12.53,5.51,2.64,25,96,1.79,.6,.63,1.1,5,.82,1.69,515
3,13.49,3.59,2.19,19.5,88,1.62,.48,.58,.88,5.7,.81,1.82,580
3,12.84,2.96,2.61,24,101,2.32,.6,.53,.81,4.92,.89,2.15,590
3,12.93,2.81,2.7,21,96,1.54,.5,.53,.75,4.6,.77,2.31,600
3,13.36,2.56,2.35,20,89,1.4,.5,.37,.64,5.6,.7,2.47,780
3,13.52,3.17,2.72,23.5,97,1.55,.52,.5,.55,4.35,.89,2.06,520
3,13.62,4.95,2.35,20,92,2,.8,.47,1.02,4.4,.91,2.05,550
3,12.25,3.88,2.2,18.5,112,1.38,.78,.29,1.14,8.21,.65,2,855
3,13.16,3.57,2.15,21,102,1.5,.55,.43,1.3,4,.6,1.68,830
3,13.88,5.04,2.23,20,80,.98,.34,.4,.68,4.9,.58,1.33,415
3,12.87,4.61,2.48,21.5,86,1.7,.65,.47,.86,7.65,.54,1.86,625
3,13.32,3.24,2.38,21.5,92,1.93,.76,.45,1.25,8.42,.55,1.62,650
3,13.08,3.9,2.36,21.5,113,1.41,1.39,.34,1.14,9.40,.57,1.33,550
3,13.5,3.12,2.62,24,123,1.4,1.57,.22,1.25,8.60,.59,1.3,500
3,12.79,2.67,2.48,22,112,1.48,1.36,.24,1.26,10.8,.48,1.47,480
3,13.11,1.9,2.75,25.5,116,2.2,1.28,.26,1.56,7.1,.61,1.33,425
3,13.23,3.3,2.28,18.5,98,1.8,.83,.61,1.87,10.52,.56,1.51,675
3,12.58,1.29,2.1,20,103,1.48,.58,.53,1.4,7.6,.58,1.55,640
3,13.17,5.19,2.32,22,93,1.74,.63,.61,1.55,7.9,.6,1.48,725
3,13.84,4.12,2.38,19.5,89,1.8,.83,.48,1.56,9.01,.57,1.64,480
3,12.45,3.03,2.64,27,97,1.9,.58,.63,1.14,7.5,.67,1.73,880
3,14.34,1.68,2.7,25,98,2.8,1.31,.53,2.7,13,.57,1.96,660
3,13.48,1.67,2.64,22.5,89,2.6,1.1,.52,2.29,11.75,.57,1.78,620
3,12.36,3.83,2.38,21,88,2.3,.92,.5,1.04,7.65,.56,1.58,520
3,13.69,3.26,2.54,20,107,1.83,.56,.5,.8,5.88,.96,1.82,680
3,12.85,3.27,2.58,22,106,1.65,.6,.6,.96,5.58,.87,2.11,570
3,12.96,3.45,2.35,18.5,106,1.39,.7,.4,.94,5.28,.68,1.75,675
3,13.78,2.76,2.3,22,90,1.35,.68,.41,1.03,9.58,.7,1.68,615
3,13.73,4.36,2.26,22.5,88,1.28,.47,.52,1.15,6.62,.78,1.75,520
3,13.45,3.7,2.6,23,111,1.7,.92,.43,1.46,10.68,.85,1.56,695
3,12.82,3.37,2.3,19.5,88,1.48,.66,.4,.97,10.26,.72,1.75,685
3,13.58,2.58,2.69,24.5,105,1.55,.84,.39,1.54,8.66,.74,1.8,750
3,13.4,4.6,2.86,25,112,1.98,.96,.27,1.11,8.5,.67,1.92,630
3,12.2,3.03,2.32,19,96,1.25,.49,.4,.73,5.5,.66,1.83,510
3,12.77,2.39,2.28,19.5,86,1.39,.51,.48,.64,9.899999,.57,1.63,470
3,14.16,2.51,2.48,20,91,1.68,.7,.44,1.24,9.7,.62,1.71,660
3,13.71,5.65,2.45,20.5,95,1.68,.61,.52,1.06,7.7,.64,1.74,740
3,13.4,3.91,2.48,23,102,1.8,.75,.43,1.41,7.3,.7,1.56,750
3,13.27,4.28,2.26,20,120,1.59,.69,.43,1.35,10.2,.59,1.56,835
3,13.17,2.59,2.37,20,120,1.65,.68,.53,1.46,9.3,.6,1.62,840
3,14.13,4.1,2.74,24.5,96,2.05,.76,.56,1.35,9.2,.61,1.6,560
1 1 14.23 1.71 2.43 15.6 127 2.8 3.06 .28 2.29 5.64 1.04 3.92 1065
2 1 13.2 1.78 2.14 11.2 100 2.65 2.76 .26 1.28 4.38 1.05 3.4 1050
3 1 13.16 2.36 2.67 18.6 101 2.8 3.24 .3 2.81 5.68 1.03 3.17 1185
4 1 14.37 1.95 2.5 16.8 113 3.85 3.49 .24 2.18 7.8 .86 3.45 1480
5 1 13.24 2.59 2.87 21 118 2.8 2.69 .39 1.82 4.32 1.04 2.93 735
6 1 14.2 1.76 2.45 15.2 112 3.27 3.39 .34 1.97 6.75 1.05 2.85 1450
7 1 14.39 1.87 2.45 14.6 96 2.5 2.52 .3 1.98 5.25 1.02 3.58 1290
8 1 14.06 2.15 2.61 17.6 121 2.6 2.51 .31 1.25 5.05 1.06 3.58 1295
9 1 14.83 1.64 2.17 14 97 2.8 2.98 .29 1.98 5.2 1.08 2.85 1045
10 1 13.86 1.35 2.27 16 98 2.98 3.15 .22 1.85 7.22 1.01 3.55 1045
11 1 14.1 2.16 2.3 18 105 2.95 3.32 .22 2.38 5.75 1.25 3.17 1510
12 1 14.12 1.48 2.32 16.8 95 2.2 2.43 .26 1.57 5 1.17 2.82 1280
13 1 13.75 1.73 2.41 16 89 2.6 2.76 .29 1.81 5.6 1.15 2.9 1320
14 1 14.75 1.73 2.39 11.4 91 3.1 3.69 .43 2.81 5.4 1.25 2.73 1150
15 1 14.38 1.87 2.38 12 102 3.3 3.64 .29 2.96 7.5 1.2 3 1547
16 1 13.63 1.81 2.7 17.2 112 2.85 2.91 .3 1.46 7.3 1.28 2.88 1310
17 1 14.3 1.92 2.72 20 120 2.8 3.14 .33 1.97 6.2 1.07 2.65 1280
18 1 13.83 1.57 2.62 20 115 2.95 3.4 .4 1.72 6.6 1.13 2.57 1130
19 1 14.19 1.59 2.48 16.5 108 3.3 3.93 .32 1.86 8.7 1.23 2.82 1680
20 1 13.64 3.1 2.56 15.2 116 2.7 3.03 .17 1.66 5.1 .96 3.36 845
21 1 14.06 1.63 2.28 16 126 3 3.17 .24 2.1 5.65 1.09 3.71 780
22 1 12.93 3.8 2.65 18.6 102 2.41 2.41 .25 1.98 4.5 1.03 3.52 770
23 1 13.71 1.86 2.36 16.6 101 2.61 2.88 .27 1.69 3.8 1.11 4 1035
24 1 12.85 1.6 2.52 17.8 95 2.48 2.37 .26 1.46 3.93 1.09 3.63 1015
25 1 13.5 1.81 2.61 20 96 2.53 2.61 .28 1.66 3.52 1.12 3.82 845
26 1 13.05 2.05 3.22 25 124 2.63 2.68 .47 1.92 3.58 1.13 3.2 830
27 1 13.39 1.77 2.62 16.1 93 2.85 2.94 .34 1.45 4.8 .92 3.22 1195
28 1 13.3 1.72 2.14 17 94 2.4 2.19 .27 1.35 3.95 1.02 2.77 1285
29 1 13.87 1.9 2.8 19.4 107 2.95 2.97 .37 1.76 4.5 1.25 3.4 915
30 1 14.02 1.68 2.21 16 96 2.65 2.33 .26 1.98 4.7 1.04 3.59 1035
31 1 13.73 1.5 2.7 22.5 101 3 3.25 .29 2.38 5.7 1.19 2.71 1285
32 1 13.58 1.66 2.36 19.1 106 2.86 3.19 .22 1.95 6.9 1.09 2.88 1515
33 1 13.68 1.83 2.36 17.2 104 2.42 2.69 .42 1.97 3.84 1.23 2.87 990
34 1 13.76 1.53 2.7 19.5 132 2.95 2.74 .5 1.35 5.4 1.25 3 1235
35 1 13.51 1.8 2.65 19 110 2.35 2.53 .29 1.54 4.2 1.1 2.87 1095
36 1 13.48 1.81 2.41 20.5 100 2.7 2.98 .26 1.86 5.1 1.04 3.47 920
37 1 13.28 1.64 2.84 15.5 110 2.6 2.68 .34 1.36 4.6 1.09 2.78 880
38 1 13.05 1.65 2.55 18 98 2.45 2.43 .29 1.44 4.25 1.12 2.51 1105
39 1 13.07 1.5 2.1 15.5 98 2.4 2.64 .28 1.37 3.7 1.18 2.69 1020
40 1 14.22 3.99 2.51 13.2 128 3 3.04 .2 2.08 5.1 .89 3.53 760
41 1 13.56 1.71 2.31 16.2 117 3.15 3.29 .34 2.34 6.13 .95 3.38 795
42 1 13.41 3.84 2.12 18.8 90 2.45 2.68 .27 1.48 4.28 .91 3 1035
43 1 13.88 1.89 2.59 15 101 3.25 3.56 .17 1.7 5.43 .88 3.56 1095
44 1 13.24 3.98 2.29 17.5 103 2.64 2.63 .32 1.66 4.36 .82 3 680
45 1 13.05 1.77 2.1 17 107 3 3 .28 2.03 5.04 .88 3.35 885
46 1 14.21 4.04 2.44 18.9 111 2.85 2.65 .3 1.25 5.24 .87 3.33 1080
47 1 14.38 3.59 2.28 16 102 3.25 3.17 .27 2.19 4.9 1.04 3.44 1065
48 1 13.9 1.68 2.12 16 101 3.1 3.39 .21 2.14 6.1 .91 3.33 985
49 1 14.1 2.02 2.4 18.8 103 2.75 2.92 .32 2.38 6.2 1.07 2.75 1060
50 1 13.94 1.73 2.27 17.4 108 2.88 3.54 .32 2.08 8.90 1.12 3.1 1260
51 1 13.05 1.73 2.04 12.4 92 2.72 3.27 .17 2.91 7.2 1.12 2.91 1150
52 1 13.83 1.65 2.6 17.2 94 2.45 2.99 .22 2.29 5.6 1.24 3.37 1265
53 1 13.82 1.75 2.42 14 111 3.88 3.74 .32 1.87 7.05 1.01 3.26 1190
54 1 13.77 1.9 2.68 17.1 115 3 2.79 .39 1.68 6.3 1.13 2.93 1375
55 1 13.74 1.67 2.25 16.4 118 2.6 2.9 .21 1.62 5.85 .92 3.2 1060
56 1 13.56 1.73 2.46 20.5 116 2.96 2.78 .2 2.45 6.25 .98 3.03 1120
57 1 14.22 1.7 2.3 16.3 118 3.2 3 .26 2.03 6.38 .94 3.31 970
58 1 13.29 1.97 2.68 16.8 102 3 3.23 .31 1.66 6 1.07 2.84 1270
59 1 13.72 1.43 2.5 16.7 108 3.4 3.67 .19 2.04 6.8 .89 2.87 1285
60 2 12.37 .94 1.36 10.6 88 1.98 .57 .28 .42 1.95 1.05 1.82 520
61 2 12.33 1.1 2.28 16 101 2.05 1.09 .63 .41 3.27 1.25 1.67 680
62 2 12.64 1.36 2.02 16.8 100 2.02 1.41 .53 .62 5.75 .98 1.59 450
63 2 13.67 1.25 1.92 18 94 2.1 1.79 .32 .73 3.8 1.23 2.46 630
64 2 12.37 1.13 2.16 19 87 3.5 3.1 .19 1.87 4.45 1.22 2.87 420
65 2 12.17 1.45 2.53 19 104 1.89 1.75 .45 1.03 2.95 1.45 2.23 355
66 2 12.37 1.21 2.56 18.1 98 2.42 2.65 .37 2.08 4.6 1.19 2.3 678
67 2 13.11 1.01 1.7 15 78 2.98 3.18 .26 2.28 5.3 1.12 3.18 502
68 2 12.37 1.17 1.92 19.6 78 2.11 2 .27 1.04 4.68 1.12 3.48 510
69 2 13.34 .94 2.36 17 110 2.53 1.3 .55 .42 3.17 1.02 1.93 750
70 2 12.21 1.19 1.75 16.8 151 1.85 1.28 .14 2.5 2.85 1.28 3.07 718
71 2 12.29 1.61 2.21 20.4 103 1.1 1.02 .37 1.46 3.05 .906 1.82 870
72 2 13.86 1.51 2.67 25 86 2.95 2.86 .21 1.87 3.38 1.36 3.16 410
73 2 13.49 1.66 2.24 24 87 1.88 1.84 .27 1.03 3.74 .98 2.78 472
74 2 12.99 1.67 2.6 30 139 3.3 2.89 .21 1.96 3.35 1.31 3.5 985
75 2 11.96 1.09 2.3 21 101 3.38 2.14 .13 1.65 3.21 .99 3.13 886
76 2 11.66 1.88 1.92 16 97 1.61 1.57 .34 1.15 3.8 1.23 2.14 428
77 2 13.03 .9 1.71 16 86 1.95 2.03 .24 1.46 4.6 1.19 2.48 392
78 2 11.84 2.89 2.23 18 112 1.72 1.32 .43 .95 2.65 .96 2.52 500
79 2 12.33 .99 1.95 14.8 136 1.9 1.85 .35 2.76 3.4 1.06 2.31 750
80 2 12.7 3.87 2.4 23 101 2.83 2.55 .43 1.95 2.57 1.19 3.13 463
81 2 12 .92 2 19 86 2.42 2.26 .3 1.43 2.5 1.38 3.12 278
82 2 12.72 1.81 2.2 18.8 86 2.2 2.53 .26 1.77 3.9 1.16 3.14 714
83 2 12.08 1.13 2.51 24 78 2 1.58 .4 1.4 2.2 1.31 2.72 630
84 2 13.05 3.86 2.32 22.5 85 1.65 1.59 .61 1.62 4.8 .84 2.01 515
85 2 11.84 .89 2.58 18 94 2.2 2.21 .22 2.35 3.05 .79 3.08 520
86 2 12.67 .98 2.24 18 99 2.2 1.94 .3 1.46 2.62 1.23 3.16 450
87 2 12.16 1.61 2.31 22.8 90 1.78 1.69 .43 1.56 2.45 1.33 2.26 495
88 2 11.65 1.67 2.62 26 88 1.92 1.61 .4 1.34 2.6 1.36 3.21 562
89 2 11.64 2.06 2.46 21.6 84 1.95 1.69 .48 1.35 2.8 1 2.75 680
90 2 12.08 1.33 2.3 23.6 70 2.2 1.59 .42 1.38 1.74 1.07 3.21 625
91 2 12.08 1.83 2.32 18.5 81 1.6 1.5 .52 1.64 2.4 1.08 2.27 480
92 2 12 1.51 2.42 22 86 1.45 1.25 .5 1.63 3.6 1.05 2.65 450
93 2 12.69 1.53 2.26 20.7 80 1.38 1.46 .58 1.62 3.05 .96 2.06 495
94 2 12.29 2.83 2.22 18 88 2.45 2.25 .25 1.99 2.15 1.15 3.3 290
95 2 11.62 1.99 2.28 18 98 3.02 2.26 .17 1.35 3.25 1.16 2.96 345
96 2 12.47 1.52 2.2 19 162 2.5 2.27 .32 3.28 2.6 1.16 2.63 937
97 2 11.81 2.12 2.74 21.5 134 1.6 .99 .14 1.56 2.5 .95 2.26 625
98 2 12.29 1.41 1.98 16 85 2.55 2.5 .29 1.77 2.9 1.23 2.74 428
99 2 12.37 1.07 2.1 18.5 88 3.52 3.75 .24 1.95 4.5 1.04 2.77 660
100 2 12.29 3.17 2.21 18 88 2.85 2.99 .45 2.81 2.3 1.42 2.83 406
101 2 12.08 2.08 1.7 17.5 97 2.23 2.17 .26 1.4 3.3 1.27 2.96 710
102 2 12.6 1.34 1.9 18.5 88 1.45 1.36 .29 1.35 2.45 1.04 2.77 562
103 2 12.34 2.45 2.46 21 98 2.56 2.11 .34 1.31 2.8 .8 3.38 438
104 2 11.82 1.72 1.88 19.5 86 2.5 1.64 .37 1.42 2.06 .94 2.44 415
105 2 12.51 1.73 1.98 20.5 85 2.2 1.92 .32 1.48 2.94 1.04 3.57 672
106 2 12.42 2.55 2.27 22 90 1.68 1.84 .66 1.42 2.7 .86 3.3 315
107 2 12.25 1.73 2.12 19 80 1.65 2.03 .37 1.63 3.4 1 3.17 510
108 2 12.72 1.75 2.28 22.5 84 1.38 1.76 .48 1.63 3.3 .88 2.42 488
109 2 12.22 1.29 1.94 19 92 2.36 2.04 .39 2.08 2.7 .86 3.02 312
110 2 11.61 1.35 2.7 20 94 2.74 2.92 .29 2.49 2.65 .96 3.26 680
111 2 11.46 3.74 1.82 19.5 107 3.18 2.58 .24 3.58 2.9 .75 2.81 562
112 2 12.52 2.43 2.17 21 88 2.55 2.27 .26 1.22 2 .9 2.78 325
113 2 11.76 2.68 2.92 20 103 1.75 2.03 .6 1.05 3.8 1.23 2.5 607
114 2 11.41 .74 2.5 21 88 2.48 2.01 .42 1.44 3.08 1.1 2.31 434
115 2 12.08 1.39 2.5 22.5 84 2.56 2.29 .43 1.04 2.9 .93 3.19 385
116 2 11.03 1.51 2.2 21.5 85 2.46 2.17 .52 2.01 1.9 1.71 2.87 407
117 2 11.82 1.47 1.99 20.8 86 1.98 1.6 .3 1.53 1.95 .95 3.33 495
118 2 12.42 1.61 2.19 22.5 108 2 2.09 .34 1.61 2.06 1.06 2.96 345
119 2 12.77 3.43 1.98 16 80 1.63 1.25 .43 .83 3.4 .7 2.12 372
120 2 12 3.43 2 19 87 2 1.64 .37 1.87 1.28 .93 3.05 564
121 2 11.45 2.4 2.42 20 96 2.9 2.79 .32 1.83 3.25 .8 3.39 625
122 2 11.56 2.05 3.23 28.5 119 3.18 5.08 .47 1.87 6 .93 3.69 465
123 2 12.42 4.43 2.73 26.5 102 2.2 2.13 .43 1.71 2.08 .92 3.12 365
124 2 13.05 5.8 2.13 21.5 86 2.62 2.65 .3 2.01 2.6 .73 3.1 380
125 2 11.87 4.31 2.39 21 82 2.86 3.03 .21 2.91 2.8 .75 3.64 380
126 2 12.07 2.16 2.17 21 85 2.6 2.65 .37 1.35 2.76 .86 3.28 378
127 2 12.43 1.53 2.29 21.5 86 2.74 3.15 .39 1.77 3.94 .69 2.84 352
128 2 11.79 2.13 2.78 28.5 92 2.13 2.24 .58 1.76 3 .97 2.44 466
129 2 12.37 1.63 2.3 24.5 88 2.22 2.45 .4 1.9 2.12 .89 2.78 342
130 2 12.04 4.3 2.38 22 80 2.1 1.75 .42 1.35 2.6 .79 2.57 580
131 3 12.86 1.35 2.32 18 122 1.51 1.25 .21 .94 4.1 .76 1.29 630
132 3 12.88 2.99 2.4 20 104 1.3 1.22 .24 .83 5.4 .74 1.42 530
133 3 12.81 2.31 2.4 24 98 1.15 1.09 .27 .83 5.7 .66 1.36 560
134 3 12.7 3.55 2.36 21.5 106 1.7 1.2 .17 .84 5 .78 1.29 600
135 3 12.51 1.24 2.25 17.5 85 2 .58 .6 1.25 5.45 .75 1.51 650
136 3 12.6 2.46 2.2 18.5 94 1.62 .66 .63 .94 7.1 .73 1.58 695
137 3 12.25 4.72 2.54 21 89 1.38 .47 .53 .8 3.85 .75 1.27 720
138 3 12.53 5.51 2.64 25 96 1.79 .6 .63 1.1 5 .82 1.69 515
139 3 13.49 3.59 2.19 19.5 88 1.62 .48 .58 .88 5.7 .81 1.82 580
140 3 12.84 2.96 2.61 24 101 2.32 .6 .53 .81 4.92 .89 2.15 590
141 3 12.93 2.81 2.7 21 96 1.54 .5 .53 .75 4.6 .77 2.31 600
142 3 13.36 2.56 2.35 20 89 1.4 .5 .37 .64 5.6 .7 2.47 780
143 3 13.52 3.17 2.72 23.5 97 1.55 .52 .5 .55 4.35 .89 2.06 520
144 3 13.62 4.95 2.35 20 92 2 .8 .47 1.02 4.4 .91 2.05 550
145 3 12.25 3.88 2.2 18.5 112 1.38 .78 .29 1.14 8.21 .65 2 855
146 3 13.16 3.57 2.15 21 102 1.5 .55 .43 1.3 4 .6 1.68 830
147 3 13.88 5.04 2.23 20 80 .98 .34 .4 .68 4.9 .58 1.33 415
148 3 12.87 4.61 2.48 21.5 86 1.7 .65 .47 .86 7.65 .54 1.86 625
149 3 13.32 3.24 2.38 21.5 92 1.93 .76 .45 1.25 8.42 .55 1.62 650
150 3 13.08 3.9 2.36 21.5 113 1.41 1.39 .34 1.14 9.40 .57 1.33 550
151 3 13.5 3.12 2.62 24 123 1.4 1.57 .22 1.25 8.60 .59 1.3 500
152 3 12.79 2.67 2.48 22 112 1.48 1.36 .24 1.26 10.8 .48 1.47 480
153 3 13.11 1.9 2.75 25.5 116 2.2 1.28 .26 1.56 7.1 .61 1.33 425
154 3 13.23 3.3 2.28 18.5 98 1.8 .83 .61 1.87 10.52 .56 1.51 675
155 3 12.58 1.29 2.1 20 103 1.48 .58 .53 1.4 7.6 .58 1.55 640
156 3 13.17 5.19 2.32 22 93 1.74 .63 .61 1.55 7.9 .6 1.48 725
157 3 13.84 4.12 2.38 19.5 89 1.8 .83 .48 1.56 9.01 .57 1.64 480
158 3 12.45 3.03 2.64 27 97 1.9 .58 .63 1.14 7.5 .67 1.73 880
159 3 14.34 1.68 2.7 25 98 2.8 1.31 .53 2.7 13 .57 1.96 660
160 3 13.48 1.67 2.64 22.5 89 2.6 1.1 .52 2.29 11.75 .57 1.78 620
161 3 12.36 3.83 2.38 21 88 2.3 .92 .5 1.04 7.65 .56 1.58 520
162 3 13.69 3.26 2.54 20 107 1.83 .56 .5 .8 5.88 .96 1.82 680
163 3 12.85 3.27 2.58 22 106 1.65 .6 .6 .96 5.58 .87 2.11 570
164 3 12.96 3.45 2.35 18.5 106 1.39 .7 .4 .94 5.28 .68 1.75 675
165 3 13.78 2.76 2.3 22 90 1.35 .68 .41 1.03 9.58 .7 1.68 615
166 3 13.73 4.36 2.26 22.5 88 1.28 .47 .52 1.15 6.62 .78 1.75 520
167 3 13.45 3.7 2.6 23 111 1.7 .92 .43 1.46 10.68 .85 1.56 695
168 3 12.82 3.37 2.3 19.5 88 1.48 .66 .4 .97 10.26 .72 1.75 685
169 3 13.58 2.58 2.69 24.5 105 1.55 .84 .39 1.54 8.66 .74 1.8 750
170 3 13.4 4.6 2.86 25 112 1.98 .96 .27 1.11 8.5 .67 1.92 630
171 3 12.2 3.03 2.32 19 96 1.25 .49 .4 .73 5.5 .66 1.83 510
172 3 12.77 2.39 2.28 19.5 86 1.39 .51 .48 .64 9.899999 .57 1.63 470
173 3 14.16 2.51 2.48 20 91 1.68 .7 .44 1.24 9.7 .62 1.71 660
174 3 13.71 5.65 2.45 20.5 95 1.68 .61 .52 1.06 7.7 .64 1.74 740
175 3 13.4 3.91 2.48 23 102 1.8 .75 .43 1.41 7.3 .7 1.56 750
176 3 13.27 4.28 2.26 20 120 1.59 .69 .43 1.35 10.2 .59 1.56 835
177 3 13.17 2.59 2.37 20 120 1.65 .68 .53 1.46 9.3 .6 1.62 840
178 3 14.13 4.1 2.74 24.5 96 2.05 .76 .56 1.35 9.2 .61 1.6 560

12
cw_2/zad1.py Normal file
View File

@ -0,0 +1,12 @@
import pandas as pd
import matplotlib.pylot as plt
data = pd.read_csv("data2.csv")
data_array = data.to_numpy()
x = data_array[:,2]
y = data_array[:,7]
plt.plot(x,y,"gx")
plt.show()

6
cw_3/.ipynb_checkpoints/Untitled-checkpoint.ipynb Normal file
View File

@ -0,0 +1,6 @@
{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 5
}

1092
cw_3/.ipynb_checkpoints/main-checkpoint.ipynb Normal file
View File

File diff suppressed because one or more lines are too long

1092
cw_3/.ipynb_checkpoints/mian-checkpoint.ipynb Normal file
View File

File diff suppressed because one or more lines are too long

1092
cw_3/Untitled.ipynb Normal file
View File

File diff suppressed because one or more lines are too long

42
cw_3/fires_thefts.csv Normal file
View File

@ -0,0 +1,42 @@
6.2,29
9.5,44
10.5,36
7.7,37
8.6,53
34.1,68
11,75
6.9,18
7.3,31
15.1,25
29.1,34
2.2,14
5.7,11
2,11
2.5,22
4,16
5.4,27
2.2,9
7.2,29
15.1,30
16.5,40
18.4,32
36.2,41
39.7,147
18.5,22
23.3,29
12.2,46
5.6,23
21.8,4
21.6,31
9,39
3.6,15
5,32
28.6,27
17.4,32
11.3,34
3.4,17
11.9,46
10.5,42
10.7,43
10.8,34
4.8,19
1 6.2 29
2 9.5 44
3 10.5 36
4 7.7 37
5 8.6 53
6 34.1 68
7 11 75
8 6.9 18
9 7.3 31
10 15.1 25
11 29.1 34
12 2.2 14
13 5.7 11
14 2 11
15 2.5 22
16 4 16
17 5.4 27
18 2.2 9
19 7.2 29
20 15.1 30
21 16.5 40
22 18.4 32
23 36.2 41
24 39.7 147
25 18.5 22
26 23.3 29
27 12.2 46
28 5.6 23
29 21.8 4
30 21.6 31
31 9 39
32 3.6 15
33 5 32
34 28.6 27
35 17.4 32
36 11.3 34
37 3.4 17
38 11.9 46
39 10.5 42
40 10.7 43
41 10.8 34
42 4.8 19

1092
cw_3/main.ipynb Normal file
View File

File diff suppressed because one or more lines are too long

1092
cw_3/mian.ipynb Normal file
View File

File diff suppressed because one or more lines are too long

582
cw_4/.ipynb_checkpoints/main-checkpoint.ipynb Normal file
View File

@ -0,0 +1,582 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 254,
"id": "8b45b299",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Survived</th>\n",
" <th>PassengerId</th>\n",
" <th>Pclass</th>\n",
" <th>Name</th>\n",
" <th>Sex</th>\n",
" <th>Age</th>\n",
" <th>SibSp</th>\n",
" <th>Parch</th>\n",
" <th>Ticket</th>\n",
" <th>Fare</th>\n",
" <th>Cabin</th>\n",
" <th>Embarked</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>530</td>\n",
" <td>2</td>\n",
" <td>Hocking\\t Mr. Richard George</td>\n",
" <td>male</td>\n",
" <td>23.0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>29104</td>\n",
" <td>11.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>466</td>\n",
" <td>3</td>\n",
" <td>Goncalves\\t Mr. Manuel Estanslas</td>\n",
" <td>male</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>SOTON/O.Q. 3101306</td>\n",
" <td>7.0500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>753</td>\n",
" <td>3</td>\n",
" <td>Vande Velde\\t Mr. Johannes Joseph</td>\n",
" <td>male</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>345780</td>\n",
" <td>9.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>855</td>\n",
" <td>2</td>\n",
" <td>Carter\\t Mrs. Ernest Courtenay (Lilian Hughes)</td>\n",
" <td>female</td>\n",
" <td>44.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>244252</td>\n",
" <td>26.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>333</td>\n",
" <td>1</td>\n",
" <td>Graham\\t Mr. George Edward</td>\n",
" <td>male</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>PC 17582</td>\n",
" <td>153.4625</td>\n",
" <td>C91</td>\n",
" <td>S</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Survived PassengerId Pclass \\\n",
"0 0 530 2 \n",
"1 0 466 3 \n",
"2 0 753 3 \n",
"3 0 855 2 \n",
"4 0 333 1 \n",
"\n",
" Name Sex Age SibSp Parch \\\n",
"0 Hocking\\t Mr. Richard George male 23.0 2 1 \n",
"1 Goncalves\\t Mr. Manuel Estanslas male 38.0 0 0 \n",
"2 Vande Velde\\t Mr. Johannes Joseph male 33.0 0 0 \n",
"3 Carter\\t Mrs. Ernest Courtenay (Lilian Hughes) female 44.0 1 0 \n",
"4 Graham\\t Mr. George Edward male 38.0 0 1 \n",
"\n",
" Ticket Fare Cabin Embarked \n",
"0 29104 11.5000 NaN S \n",
"1 SOTON/O.Q. 3101306 7.0500 NaN S \n",
"2 345780 9.5000 NaN S \n",
"3 244252 26.0000 NaN S \n",
"4 PC 17582 153.4625 C91 S "
]
},
"execution_count": 254,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from sklearn.impute import SimpleImputer\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"\n",
"data = pd.read_csv('titanic.tsv',sep='\\t')\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 255,
"id": "8b3702f6",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Survived</th>\n",
" <th>PassengerId</th>\n",
" <th>Pclass</th>\n",
" <th>Sex</th>\n",
" <th>Age</th>\n",
" <th>SibSp</th>\n",
" <th>Parch</th>\n",
" <th>Ticket</th>\n",
" <th>Fare</th>\n",
" <th>Cabin</th>\n",
" <th>Embarked</th>\n",
" <th>Name_to_num</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>530</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>23.0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>29104</td>\n",
" <td>11.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>466</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>SOTON/O.Q. 3101306</td>\n",
" <td>7.0500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>753</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>345780</td>\n",
" <td>9.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>855</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>44.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>244252</td>\n",
" <td>26.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>333</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>PC 17582</td>\n",
" <td>153.4625</td>\n",
" <td>C91</td>\n",
" <td>S</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Survived PassengerId Pclass Sex Age SibSp Parch Ticket \\\n",
"0 0 530 2 1 23.0 2 1 29104 \n",
"1 0 466 3 1 38.0 0 0 SOTON/O.Q. 3101306 \n",
"2 0 753 3 1 33.0 0 0 345780 \n",
"3 0 855 2 0 44.0 1 0 244252 \n",
"4 0 333 1 1 38.0 0 1 PC 17582 \n",
"\n",
" Fare Cabin Embarked Name_to_num \n",
"0 11.5000 NaN S 1 \n",
"1 7.0500 NaN S 1 \n",
"2 9.5000 NaN S 1 \n",
"3 26.0000 NaN S 0 \n",
"4 153.4625 C91 S 1 "
]
},
"execution_count": 255,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data['Sex'] = data['Sex'].apply(lambda x: 1 if x=='male' else 0)\n",
"data['Name_to_num'] = data['Name'].apply(\n",
" lambda x: 1 if 'Mr.' in x else 0\n",
")\n",
"del data['Name']\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 256,
"id": "9253cb6e",
"metadata": {},
"outputs": [],
"source": [
"data['Cabin'] = data['Cabin'].replace(np.nan,'Undefined')\n",
"\n",
"\n",
"vectorizer = TfidfVectorizer()\n",
"vectorizer.fit(data['Cabin'])\n",
"vector = vectorizer.transform(data['Cabin']).toarray()\n",
"vector_sum = []\n",
"for v in vector:\n",
" vector_sum.append(v.sum())\n",
"data['Cabin']=vector_sum"
]
},
{
"cell_type": "code",
"execution_count": 257,
"id": "0d915dab",
"metadata": {},
"outputs": [],
"source": [
"data['Embarked'] = data['Embarked'].replace(np.nan,'Undefined')\n",
"\n",
"data = pd.get_dummies(data,columns=['Embarked'])"
]
},
{
"cell_type": "code",
"execution_count": 258,
"id": "2f641e28",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"28.00 139\n",
"22.00 20\n",
"21.00 19\n",
"24.00 19\n",
"19.00 17\n",
" ... \n",
"61.00 1\n",
"70.50 1\n",
"0.75 1\n",
"10.00 1\n",
"46.00 1\n",
"Name: Age, Length: 82, dtype: int64"
]
},
"execution_count": 258,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"imputer = SimpleImputer(missing_values=np.nan, strategy='median')\n",
"data[['Age']] = imputer.fit_transform(data[['Age']])\n",
"data['Age'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 259,
"id": "536d5bd7",
"metadata": {},
"outputs": [],
"source": [
"data['Ticket'] = data['Ticket'].replace(np.nan,'Undefined')\n",
"\n",
"vectorizer = TfidfVectorizer()\n",
"vectorizer.fit(data['Ticket'])\n",
"vector = vectorizer.transform(data['Ticket']).toarray()\n",
"vector_sum = []\n",
"for v in vector:\n",
" vector_sum.append(v.sum())\n",
"data['Ticket']=vector_sum"
]
},
{
"cell_type": "code",
"execution_count": 260,
"id": "74e47288",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Survived</th>\n",
" <th>PassengerId</th>\n",
" <th>Pclass</th>\n",
" <th>Sex</th>\n",
" <th>Age</th>\n",
" <th>SibSp</th>\n",
" <th>Parch</th>\n",
" <th>Ticket</th>\n",
" <th>Fare</th>\n",
" <th>Cabin</th>\n",
" <th>Name_to_num</th>\n",
" <th>Embarked_C</th>\n",
" <th>Embarked_Q</th>\n",
" <th>Embarked_S</th>\n",
" <th>Embarked_Undefined</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>530</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>23.0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>11.5000</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>466</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.391284</td>\n",
" <td>7.0500</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>753</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.000000</td>\n",
" <td>9.5000</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>855</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>44.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1.000000</td>\n",
" <td>26.0000</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>333</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1.365721</td>\n",
" <td>153.4625</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Survived PassengerId Pclass Sex Age SibSp Parch Ticket Fare \\\n",
"0 0 530 2 1 23.0 2 1 1.000000 11.5000 \n",
"1 0 466 3 1 38.0 0 0 1.391284 7.0500 \n",
"2 0 753 3 1 33.0 0 0 1.000000 9.5000 \n",
"3 0 855 2 0 44.0 1 0 1.000000 26.0000 \n",
"4 0 333 1 1 38.0 0 1 1.365721 153.4625 \n",
"\n",
" Cabin Name_to_num Embarked_C Embarked_Q Embarked_S Embarked_Undefined \n",
"0 1.0 1 0 0 1 0 \n",
"1 1.0 1 0 0 1 0 \n",
"2 1.0 1 0 0 1 0 \n",
"3 1.0 0 0 0 1 0 \n",
"4 1.0 1 0 0 1 0 "
]
},
"execution_count": 260,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

582
cw_4/main.ipynb Normal file
View File

@ -0,0 +1,582 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 254,
"id": "8b45b299",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Survived</th>\n",
" <th>PassengerId</th>\n",
" <th>Pclass</th>\n",
" <th>Name</th>\n",
" <th>Sex</th>\n",
" <th>Age</th>\n",
" <th>SibSp</th>\n",
" <th>Parch</th>\n",
" <th>Ticket</th>\n",
" <th>Fare</th>\n",
" <th>Cabin</th>\n",
" <th>Embarked</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>530</td>\n",
" <td>2</td>\n",
" <td>Hocking\\t Mr. Richard George</td>\n",
" <td>male</td>\n",
" <td>23.0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>29104</td>\n",
" <td>11.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>466</td>\n",
" <td>3</td>\n",
" <td>Goncalves\\t Mr. Manuel Estanslas</td>\n",
" <td>male</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>SOTON/O.Q. 3101306</td>\n",
" <td>7.0500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>753</td>\n",
" <td>3</td>\n",
" <td>Vande Velde\\t Mr. Johannes Joseph</td>\n",
" <td>male</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>345780</td>\n",
" <td>9.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>855</td>\n",
" <td>2</td>\n",
" <td>Carter\\t Mrs. Ernest Courtenay (Lilian Hughes)</td>\n",
" <td>female</td>\n",
" <td>44.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>244252</td>\n",
" <td>26.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>333</td>\n",
" <td>1</td>\n",
" <td>Graham\\t Mr. George Edward</td>\n",
" <td>male</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>PC 17582</td>\n",
" <td>153.4625</td>\n",
" <td>C91</td>\n",
" <td>S</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Survived PassengerId Pclass \\\n",
"0 0 530 2 \n",
"1 0 466 3 \n",
"2 0 753 3 \n",
"3 0 855 2 \n",
"4 0 333 1 \n",
"\n",
" Name Sex Age SibSp Parch \\\n",
"0 Hocking\\t Mr. Richard George male 23.0 2 1 \n",
"1 Goncalves\\t Mr. Manuel Estanslas male 38.0 0 0 \n",
"2 Vande Velde\\t Mr. Johannes Joseph male 33.0 0 0 \n",
"3 Carter\\t Mrs. Ernest Courtenay (Lilian Hughes) female 44.0 1 0 \n",
"4 Graham\\t Mr. George Edward male 38.0 0 1 \n",
"\n",
" Ticket Fare Cabin Embarked \n",
"0 29104 11.5000 NaN S \n",
"1 SOTON/O.Q. 3101306 7.0500 NaN S \n",
"2 345780 9.5000 NaN S \n",
"3 244252 26.0000 NaN S \n",
"4 PC 17582 153.4625 C91 S "
]
},
"execution_count": 254,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from sklearn.impute import SimpleImputer\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"\n",
"data = pd.read_csv('titanic.tsv',sep='\\t')\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 255,
"id": "8b3702f6",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Survived</th>\n",
" <th>PassengerId</th>\n",
" <th>Pclass</th>\n",
" <th>Sex</th>\n",
" <th>Age</th>\n",
" <th>SibSp</th>\n",
" <th>Parch</th>\n",
" <th>Ticket</th>\n",
" <th>Fare</th>\n",
" <th>Cabin</th>\n",
" <th>Embarked</th>\n",
" <th>Name_to_num</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>530</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>23.0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>29104</td>\n",
" <td>11.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>466</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>SOTON/O.Q. 3101306</td>\n",
" <td>7.0500</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>753</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>345780</td>\n",
" <td>9.5000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>855</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>44.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>244252</td>\n",
" <td>26.0000</td>\n",
" <td>NaN</td>\n",
" <td>S</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>333</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>PC 17582</td>\n",
" <td>153.4625</td>\n",
" <td>C91</td>\n",
" <td>S</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Survived PassengerId Pclass Sex Age SibSp Parch Ticket \\\n",
"0 0 530 2 1 23.0 2 1 29104 \n",
"1 0 466 3 1 38.0 0 0 SOTON/O.Q. 3101306 \n",
"2 0 753 3 1 33.0 0 0 345780 \n",
"3 0 855 2 0 44.0 1 0 244252 \n",
"4 0 333 1 1 38.0 0 1 PC 17582 \n",
"\n",
" Fare Cabin Embarked Name_to_num \n",
"0 11.5000 NaN S 1 \n",
"1 7.0500 NaN S 1 \n",
"2 9.5000 NaN S 1 \n",
"3 26.0000 NaN S 0 \n",
"4 153.4625 C91 S 1 "
]
},
"execution_count": 255,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data['Sex'] = data['Sex'].apply(lambda x: 1 if x=='male' else 0)\n",
"data['Name_to_num'] = data['Name'].apply(\n",
" lambda x: 1 if 'Mr.' in x else 0\n",
")\n",
"del data['Name']\n",
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 256,
"id": "9253cb6e",
"metadata": {},
"outputs": [],
"source": [
"data['Cabin'] = data['Cabin'].replace(np.nan,'Undefined')\n",
"\n",
"\n",
"vectorizer = TfidfVectorizer()\n",
"vectorizer.fit(data['Cabin'])\n",
"vector = vectorizer.transform(data['Cabin']).toarray()\n",
"vector_sum = []\n",
"for v in vector:\n",
" vector_sum.append(v.sum())\n",
"data['Cabin']=vector_sum"
]
},
{
"cell_type": "code",
"execution_count": 257,
"id": "0d915dab",
"metadata": {},
"outputs": [],
"source": [
"data['Embarked'] = data['Embarked'].replace(np.nan,'Undefined')\n",
"\n",
"data = pd.get_dummies(data,columns=['Embarked'])"
]
},
{
"cell_type": "code",
"execution_count": 258,
"id": "2f641e28",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"28.00 139\n",
"22.00 20\n",
"21.00 19\n",
"24.00 19\n",
"19.00 17\n",
" ... \n",
"61.00 1\n",
"70.50 1\n",
"0.75 1\n",
"10.00 1\n",
"46.00 1\n",
"Name: Age, Length: 82, dtype: int64"
]
},
"execution_count": 258,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"imputer = SimpleImputer(missing_values=np.nan, strategy='median')\n",
"data[['Age']] = imputer.fit_transform(data[['Age']])\n",
"data['Age'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 259,
"id": "536d5bd7",
"metadata": {},
"outputs": [],
"source": [
"data['Ticket'] = data['Ticket'].replace(np.nan,'Undefined')\n",
"\n",
"vectorizer = TfidfVectorizer()\n",
"vectorizer.fit(data['Ticket'])\n",
"vector = vectorizer.transform(data['Ticket']).toarray()\n",
"vector_sum = []\n",
"for v in vector:\n",
" vector_sum.append(v.sum())\n",
"data['Ticket']=vector_sum"
]
},
{
"cell_type": "code",
"execution_count": 260,
"id": "74e47288",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Survived</th>\n",
" <th>PassengerId</th>\n",
" <th>Pclass</th>\n",
" <th>Sex</th>\n",
" <th>Age</th>\n",
" <th>SibSp</th>\n",
" <th>Parch</th>\n",
" <th>Ticket</th>\n",
" <th>Fare</th>\n",
" <th>Cabin</th>\n",
" <th>Name_to_num</th>\n",
" <th>Embarked_C</th>\n",
" <th>Embarked_Q</th>\n",
" <th>Embarked_S</th>\n",
" <th>Embarked_Undefined</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>530</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>23.0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>11.5000</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>466</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.391284</td>\n",
" <td>7.0500</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>753</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.000000</td>\n",
" <td>9.5000</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>855</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>44.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1.000000</td>\n",
" <td>26.0000</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>333</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1.365721</td>\n",
" <td>153.4625</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Survived PassengerId Pclass Sex Age SibSp Parch Ticket Fare \\\n",
"0 0 530 2 1 23.0 2 1 1.000000 11.5000 \n",
"1 0 466 3 1 38.0 0 0 1.391284 7.0500 \n",
"2 0 753 3 1 33.0 0 0 1.000000 9.5000 \n",
"3 0 855 2 0 44.0 1 0 1.000000 26.0000 \n",
"4 0 333 1 1 38.0 0 1 1.365721 153.4625 \n",
"\n",
" Cabin Name_to_num Embarked_C Embarked_Q Embarked_S Embarked_Undefined \n",
"0 1.0 1 0 0 1 0 \n",
"1 1.0 1 0 0 1 0 \n",
"2 1.0 1 0 0 1 0 \n",
"3 1.0 0 0 0 1 0 \n",
"4 1.0 1 0 0 1 0 "
]
},
"execution_count": 260,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

624
cw_4/titanic.tsv Normal file
View File

@ -0,0 +1,624 @@
"Survived" "PassengerId" "Pclass" "Name" "Sex" "Age" "SibSp" "Parch" "Ticket" "Fare" "Cabin" "Embarked"
0 530 2 "Hocking Mr. Richard George" "male" 23 2 1 "29104" 11.5 "" "S"
0 466 3 "Goncalves Mr. Manuel Estanslas" "male" 38 0 0 "SOTON/O.Q. 3101306" 7.05 "" "S"
0 753 3 "Vande Velde Mr. Johannes Joseph" "male" 33 0 0 "345780" 9.5 "" "S"
0 855 2 "Carter Mrs. Ernest Courtenay (Lilian Hughes)" "female" 44 1 0 "244252" 26 "" "S"
0 333 1 "Graham Mr. George Edward" "male" 38 0 1 "PC 17582" 153.4625 "C91" "S"
0 39 3 "Vander Planke Miss. Augusta Maria" "female" 18 2 0 "345764" 18 "" "S"
0 236 3 "Harknett Miss. Alice Phoebe" "female" NA 0 0 "W./C. 6609" 7.55 "" "S"
0 303 3 "Johnson Mr. William Cahoone Jr" "male" 19 0 0 "LINE" 0 "" "S"
1 18 2 "Williams Mr. Charles Eugene" "male" NA 0 0 "244373" 13 "" "S"
1 505 1 "Maioni Miss. Roberta" "female" 16 0 0 "110152" 86.5 "B79" "S"
1 670 1 "Taylor Mrs. Elmer Zebley (Juliet Cummins Wright)" "female" NA 1 0 "19996" 52 "C126" "S"
1 316 3 "Nilsson Miss. Helmina Josefina" "female" 26 0 0 "347470" 7.8542 "" "S"
1 690 1 "Madill Miss. Georgette Alexandra" "female" 15 0 1 "24160" 211.3375 "B5" "S"
1 718 2 "Troutt Miss. Edwina Celia ""Winnie""" "female" 27 0 0 "34218" 10.5 "E101" "S"
1 580 3 "Jussila Mr. Eiriik" "male" 32 0 0 "STON/O 2. 3101286" 7.925 "" "S"
0 697 3 "Kelly Mr. James" "male" 44 0 0 "363592" 8.05 "" "S"
1 193 3 "Andersen-Jensen Miss. Carla Christine Nielsine" "female" 19 1 0 "350046" 7.8542 "" "S"
0 634 1 "Parr Mr. William Henry Marsh" "male" NA 0 0 "112052" 0 "" "S"
1 858 1 "Daly Mr. Peter Denis " "male" 51 0 0 "113055" 26.55 "E17" "S"
1 329 3 "Goldsmith Mrs. Frank John (Emily Alice Brown)" "female" 31 1 1 "363291" 20.525 "" "S"
0 784 3 "Johnston Mr. Andrew G" "male" NA 1 2 "W./C. 6607" 23.45 "" "S"
0 407 3 "Widegren Mr. Carl/Charles Peter" "male" 51 0 0 "347064" 7.75 "" "S"
0 747 3 "Abbott Mr. Rossmore Edward" "male" 16 1 1 "C.A. 2673" 20.25 "" "S"
0 492 3 "Windelov Mr. Einar" "male" 21 0 0 "SOTON/OQ 3101317" 7.25 "" "S"
1 534 3 "Peter Mrs. Catherine (Catherine Rizk)" "female" NA 0 2 "2668" 22.3583 "" "C"
0 862 2 "Giles Mr. Frederick Edward" "male" 21 1 0 "28134" 11.5 "" "S"
0 724 2 "Hodges Mr. Henry Price" "male" 50 0 0 "250643" 13 "" "S"
0 685 2 "Brown Mr. Thomas William Solomon" "male" 60 1 1 "29750" 39 "" "S"
0 344 2 "Sedgwick Mr. Charles Frederick Waddington" "male" 25 0 0 "244361" 13 "" "S"
1 751 2 "Wells Miss. Joan" "female" 4 1 1 "29103" 23 "" "S"
0 734 2 "Berriman Mr. William John" "male" 23 0 0 "28425" 13 "" "S"
0 496 3 "Yousseff Mr. Gerious" "male" NA 0 0 "2627" 14.4583 "" "C"
0 296 1 "Lewy Mr. Ervin G" "male" NA 0 0 "PC 17612" 27.7208 "" "C"
0 516 1 "Walker Mr. William Anderson" "male" 47 0 0 "36967" 34.0208 "D46" "S"
0 282 3 "Olsson Mr. Nils Johan Goransson" "male" 28 0 0 "347464" 7.8542 "" "S"
0 218 2 "Jacobsohn Mr. Sidney Samuel" "male" 42 1 0 "243847" 27 "" "S"
1 107 3 "Salkjelsvik Miss. Anna Kristine" "female" 21 0 0 "343120" 7.65 "" "S"
0 878 3 "Petroff Mr. Nedelio" "male" 19 0 0 "349212" 7.8958 "" "S"
1 291 1 "Barber Miss. Ellen ""Nellie""" "female" 26 0 0 "19877" 78.85 "" "S"
0 722 3 "Jensen Mr. Svend Lauritz" "male" 17 1 0 "350048" 7.0542 "" "S"
0 826 3 "Flynn Mr. John" "male" NA 0 0 "368323" 6.95 "" "Q"
0 434 3 "Kallio Mr. Nikolai Erland" "male" 17 0 0 "STON/O 2. 3101274" 7.125 "" "S"
0 404 3 "Hakkarainen Mr. Pekka Pietari" "male" 28 1 0 "STON/O2. 3101279" 15.85 "" "S"
1 210 1 "Blank Mr. Henry" "male" 40 0 0 "112277" 31 "A31" "C"
1 166 3 "Goldsmith Master. Frank John William ""Frankie""" "male" 9 0 2 "363291" 20.525 "" "S"
0 201 3 "Vande Walle Mr. Nestor Cyriel" "male" 28 0 0 "345770" 9.5 "" "S"
0 361 3 "Skoog Mr. Wilhelm" "male" 40 1 4 "347088" 27.9 "" "S"
1 53 1 "Harper Mrs. Henry Sleeper (Myna Haxtun)" "female" 49 1 0 "PC 17572" 76.7292 "D33" "C"
0 612 3 "Jardin Mr. Jose Neto" "male" NA 0 0 "SOTON/O.Q. 3101305" 7.05 "" "S"
0 60 3 "Goodwin Master. William Frederick" "male" 11 5 2 "CA 2144" 46.9 "" "S"
1 262 3 "Asplund Master. Edvin Rojj Felix" "male" 3 4 2 "347077" 31.3875 "" "S"
1 674 2 "Wilhelms Mr. Charles" "male" 31 0 0 "244270" 13 "" "S"
0 63 1 "Harris Mr. Henry Birkhardt" "male" 45 1 0 "36973" 83.475 "C83" "S"
0 215 3 "Kiernan Mr. Philip" "male" NA 1 0 "367229" 7.75 "" "Q"
0 618 3 "Lobb Mrs. William Arthur (Cordelia K Stanlick)" "female" 26 1 0 "A/5. 3336" 16.1 "" "S"
1 789 3 "Dean Master. Bertram Vere" "male" 1 1 2 "C.A. 2315" 20.575 "" "S"
1 312 1 "Ryerson Miss. Emily Borie" "female" 18 2 2 "PC 17608" 262.375 "B57 B59 B63 B66" "C"
0 113 3 "Barton Mr. David John" "male" 22 0 0 "324669" 8.05 "" "S"
0 314 3 "Hendekovic Mr. Ignjac" "male" 28 0 0 "349243" 7.8958 "" "S"
1 517 2 "Lemore Mrs. (Amelia Milley)" "female" 34 0 0 "C.A. 34260" 10.5 "F33" "S"
0 174 3 "Sivola Mr. Antti Wilhelm" "male" 21 0 0 "STON/O 2. 3101280" 7.925 "" "S"
1 803 1 "Carter Master. William Thornton II" "male" 11 1 2 "113760" 120 "B96 B98" "S"
0 479 3 "Karlsson Mr. Nils August" "male" 22 0 0 "350060" 7.5208 "" "S"
1 445 3 "Johannesen-Bratthammer Mr. Bernt" "male" NA 0 0 "65306" 8.1125 "" "S"
0 684 3 "Goodwin Mr. Charles Edward" "male" 14 5 2 "CA 2144" 46.9 "" "S"
1 597 2 "Leitch Miss. Jessie Wills" "female" NA 0 0 "248727" 33 "" "S"
0 229 2 "Fahlstrom Mr. Arne Jonas" "male" 18 0 0 "236171" 13 "" "S"
0 121 2 "Hickman Mr. Stanley George" "male" 21 2 0 "S.O.C. 14879" 73.5 "" "S"
0 526 3 "Farrell Mr. James" "male" 40.5 0 0 "367232" 7.75 "" "Q"
1 360 3 "Mockler Miss. Helen Mary ""Ellie""" "female" NA 0 0 "330980" 7.8792 "" "Q"
1 20 3 "Masselmani Mrs. Fatima" "female" NA 0 0 "2649" 7.225 "" "C"
0 28 1 "Fortune Mr. Charles Alexander" "male" 19 3 2 "19950" 263 "C23 C25 C27" "S"
0 761 3 "Garfirth Mr. John" "male" NA 0 0 "358585" 14.5 "" "S"
1 487 1 "Hoyt Mrs. Frederick Maxfield (Jane Anne Forby)" "female" 35 1 0 "19943" 90 "C93" "S"
0 385 3 "Plotcharsky Mr. Vasil" "male" NA 0 0 "349227" 7.8958 "" "S"
0 364 3 "Asim Mr. Adola" "male" 35 0 0 "SOTON/O.Q. 3101310" 7.05 "" "S"
1 124 2 "Webber Miss. Susan" "female" 32.5 0 0 "27267" 13 "E101" "S"
0 165 3 "Panula Master. Eino Viljami" "male" 1 4 1 "3101295" 39.6875 "" "S"
0 668 3 "Rommetvedt Mr. Knud Paust" "male" NA 0 0 "312993" 7.775 "" "S"
0 596 3 "Van Impe Mr. Jean Baptiste" "male" 36 1 1 "345773" 24.15 "" "S"
0 845 3 "Culumovic Mr. Jeso" "male" 17 0 0 "315090" 8.6625 "" "S"
1 510 3 "Lang Mr. Fang" "male" 26 0 0 "1601" 56.4958 "" "S"
0 135 2 "Sobey Mr. Samuel James Hayden" "male" 25 0 0 "C.A. 29178" 13 "" "S"
1 196 1 "Lurette Miss. Elise" "female" 58 0 0 "PC 17569" 146.5208 "B80" "C"
1 377 3 "Landergren Miss. Aurora Adelia" "female" 22 0 0 "C 7077" 7.25 "" "S"
1 745 3 "Stranden Mr. Juho" "male" 31 0 0 "STON/O 2. 3101288" 7.925 "" "S"
0 729 2 "Bryhl Mr. Kurt Arnold Gottfrid" "male" 25 1 0 "236853" 26 "" "S"
1 661 1 "Frauenthal Dr. Henry William" "male" 50 2 0 "PC 17611" 133.65 "" "S"
0 437 3 "Ford Miss. Doolina Margaret ""Daisy""" "female" 21 2 2 "W./C. 6608" 34.375 "" "S"
1 9 3 "Johnson Mrs. Oscar W (Elisabeth Vilhelmina Berg)" "female" 27 0 2 "347742" 11.1333 "" "S"
0 835 3 "Allum Mr. Owen George" "male" 18 0 0 "2223" 8.3 "" "S"
0 794 1 "Hoyt Mr. William Fisher" "male" NA 0 0 "PC 17600" 30.6958 "" "C"
0 891 3 "Dooley Mr. Patrick" "male" 32 0 0 "370376" 7.75 "" "Q"
0 851 3 "Andersson Master. Sigvard Harald Elias" "male" 4 4 2 "347082" 31.275 "" "S"
1 854 1 "Lines Miss. Mary Conover" "female" 16 0 1 "PC 17592" 39.4 "D28" "S"
0 552 2 "Sharp Mr. Percival James R" "male" 27 0 0 "244358" 26 "" "S"
1 671 2 "Brown Mrs. Thomas William Solomon (Elizabeth Catherine Ford)" "female" 40 1 1 "29750" 39 "" "S"
0 228 3 "Lovell Mr. John Hall (""Henry"")" "male" 20.5 0 0 "A/5 21173" 7.25 "" "S"
1 763 3 "Barah Mr. Hanna Assi" "male" 20 0 0 "2663" 7.2292 "" "C"
0 591 3 "Rintamaki Mr. Matti" "male" 35 0 0 "STON/O 2. 3101273" 7.125 "" "S"
0 155 3 "Olsen Mr. Ole Martin" "male" NA 0 0 "Fa 265302" 7.3125 "" "S"
0 104 3 "Johansson Mr. Gustaf Joel" "male" 33 0 0 "7540" 8.6542 "" "S"
0 443 3 "Petterson Mr. Johan Emil" "male" 25 1 0 "347076" 7.775 "" "S"
1 592 1 "Stephenson Mrs. Walter Bertram (Martha Eustis)" "female" 52 1 0 "36947" 78.2667 "D20" "C"
0 584 1 "Ross Mr. John Hugo" "male" 36 0 0 "13049" 40.125 "A10" "C"
0 277 3 "Lindblom Miss. Augusta Charlotta" "female" 45 0 0 "347073" 7.75 "" "S"
1 514 1 "Rothschild Mrs. Martin (Elizabeth L. Barrett)" "female" 54 1 0 "PC 17603" 59.4 "" "C"
1 83 3 "McDermott Miss. Brigdet Delia" "female" NA 0 0 "330932" 7.7875 "" "Q"
1 856 3 "Aks Mrs. Sam (Leah Rosen)" "female" 18 0 1 "392091" 9.35 "" "S"
1 390 2 "Lehmann Miss. Bertha" "female" 17 0 0 "SC 1748" 12 "" "C"
0 579 3 "Caram Mrs. Joseph (Maria Elias)" "female" NA 1 0 "2689" 14.4583 "" "C"
0 500 3 "Svensson Mr. Olof" "male" 24 0 0 "350035" 7.7958 "" "S"
0 412 3 "Hart Mr. Henry" "male" NA 0 0 "394140" 6.8583 "" "Q"
0 687 3 "Panula Mr. Jaako Arnold" "male" 14 4 1 "3101295" 39.6875 "" "S"
0 73 2 "Hood Mr. Ambrose Jr" "male" 21 0 0 "S.O.C. 14879" 73.5 "" "S"
0 887 2 "Montvila Rev. Juozas" "male" 27 0 0 "211536" 13 "" "S"
0 503 3 "O'Sullivan Miss. Bridget Mary" "female" NA 0 0 "330909" 7.6292 "" "Q"
0 41 3 "Ahlin Mrs. Johan (Johanna Persdotter Larsson)" "female" 40 1 0 "7546" 9.475 "" "S"
1 654 3 "O'Leary Miss. Hanora ""Norah""" "female" NA 0 0 "330919" 7.8292 "" "Q"
1 484 3 "Turkula Mrs. (Hedwig)" "female" 63 0 0 "4134" 9.5875 "" "S"
0 426 3 "Wiseman Mr. Phillippe" "male" NA 0 0 "A/4. 34244" 7.25 "" "S"
1 438 2 "Richards Mrs. Sidney (Emily Hocking)" "female" 24 2 3 "29106" 18.75 "" "S"
0 625 3 "Bowen Mr. David John ""Dai""" "male" 21 0 0 "54636" 16.1 "" "S"
0 114 3 "Jussila Miss. Katriina" "female" 20 1 0 "4136" 9.825 "" "S"
0 614 3 "Horgan Mr. John" "male" NA 0 0 "370377" 7.75 "" "Q"
1 731 1 "Allen Miss. Elisabeth Walton" "female" 29 0 0 "24160" 211.3375 "B5" "S"
0 675 2 "Watson Mr. Ennis Hastings" "male" NA 0 0 "239856" 0 "" "S"
0 712 1 "Klaber Mr. Herman" "male" NA 0 0 "113028" 26.55 "C124" "S"
0 657 3 "Radeff Mr. Alexander" "male" NA 0 0 "349223" 7.8958 "" "S"
0 848 3 "Markoff Mr. Marin" "male" 35 0 0 "349213" 7.8958 "" "C"
0 809 2 "Meyer Mr. August" "male" 39 0 0 "248723" 13 "" "S"
1 577 2 "Garside Miss. Ethel" "female" 34 0 0 "243880" 13 "" "S"
0 343 2 "Collander Mr. Erik Gustaf" "male" 28 0 0 "248740" 13 "" "S"
0 252 3 "Strom Mrs. Wilhelm (Elna Matilda Persson)" "female" 29 1 1 "347054" 10.4625 "G6" "S"
0 518 3 "Ryan Mr. Patrick" "male" NA 0 0 "371110" 24.15 "" "Q"
0 515 3 "Coleff Mr. Satio" "male" 24 0 0 "349209" 7.4958 "" "S"
0 327 3 "Nysveen Mr. Johan Hansen" "male" 61 0 0 "345364" 6.2375 "" "S"
0 144 3 "Burke Mr. Jeremiah" "male" 19 0 0 "365222" 6.75 "" "Q"
0 629 3 "Bostandyeff Mr. Guentcho" "male" 26 0 0 "349224" 7.8958 "" "S"
0 469 3 "Scanlan Mr. James" "male" NA 0 0 "36209" 7.725 "" "Q"
1 199 3 "Madigan Miss. Margaret ""Maggie""" "female" NA 0 0 "370370" 7.75 "" "Q"
1 459 2 "Toomey Miss. Ellen" "female" 50 0 0 "F.C.C. 13531" 10.5 "" "S"
1 485 1 "Bishop Mr. Dickinson H" "male" 25 1 0 "11967" 91.0792 "B49" "C"
1 349 3 "Coutts Master. William Loch ""William""" "male" 3 1 1 "C.A. 37671" 15.9 "" "S"
0 716 3 "Soholt Mr. Peter Andreas Lauritz Andersen" "male" 19 0 0 "348124" 7.65 "F G73" "S"
0 742 1 "Cavendish Mr. Tyrell William" "male" 36 1 0 "19877" 78.85 "C46" "S"
0 520 3 "Pavlovic Mr. Stefo" "male" 32 0 0 "349242" 7.8958 "" "S"
1 764 1 "Carter Mrs. William Ernest (Lucile Polk)" "female" 36 1 2 "113760" 120 "B96 B98" "S"
0 19 3 "Vander Planke Mrs. Julius (Emelia Maria Vandemoortele)" "female" 31 1 0 "345763" 18 "" "S"
0 563 2 "Norman Mr. Robert Douglas" "male" 28 0 0 "218629" 13.5 "" "S"
1 331 3 "McCoy Miss. Agnes" "female" NA 2 0 "367226" 23.25 "" "Q"
0 251 3 "Reed Mr. James George" "male" NA 0 0 "362316" 7.25 "" "S"
1 850 1 "Goldenberg Mrs. Samuel L (Edwiga Grabowska)" "female" NA 1 0 "17453" 89.1042 "C92" "C"
1 778 3 "Emanuel Miss. Virginia Ethel" "female" 5 0 0 "364516" 12.475 "" "S"
1 458 1 "Kenyon Mrs. Frederick R (Marion)" "female" NA 1 0 "17464" 51.8625 "D21" "S"
0 457 1 "Millet Mr. Francis Davis" "male" 65 0 0 "13509" 26.55 "E38" "S"
1 433 2 "Louch Mrs. Charles Alexander (Alice Adelaide Slow)" "female" 42 1 0 "SC/AH 3085" 26 "" "S"
1 743 1 "Ryerson Miss. Susan Parker ""Suzette""" "female" 21 2 2 "PC 17608" 262.375 "B57 B59 B63 B66" "C"
1 741 1 "Hawksford Mr. Walter James" "male" NA 0 0 "16988" 30 "D45" "S"
1 234 3 "Asplund Miss. Lillian Gertrud" "female" 5 4 2 "347077" 31.3875 "" "S"
1 57 2 "Rugg Miss. Emily" "female" 21 0 0 "C.A. 31026" 10.5 "" "S"
0 816 1 "Fry Mr. Richard" "male" NA 0 0 "112058" 0 "B102" "S"
1 56 1 "Woolner Mr. Hugh" "male" NA 0 0 "19947" 35.5 "C52" "S"
0 169 1 "Baumann Mr. John D" "male" NA 0 0 "PC 17318" 25.925 "" "S"
0 168 3 "Skoog Mrs. William (Anna Bernhardina Karlsson)" "female" 45 1 4 "347088" 27.9 "" "S"
0 158 3 "Corn Mr. Harry" "male" 30 0 0 "SOTON/OQ 392090" 8.05 "" "S"
1 270 1 "Bissette Miss. Amelia" "female" 35 0 0 "PC 17760" 135.6333 "C99" "S"
0 243 2 "Coleridge Mr. Reginald Charles" "male" 29 0 0 "W./C. 14263" 10.5 "" "S"
0 240 2 "Hunt Mr. George Henry" "male" 33 0 0 "SCO/W 1585" 12.275 "" "S"
0 177 3 "Lefebre Master. Henry Forbes" "male" NA 3 1 "4133" 25.4667 "" "S"
1 608 1 "Daniel Mr. Robert Williams" "male" 27 0 0 "113804" 30.5 "" "S"
0 587 2 "Jarvis Mr. John Denzil" "male" 47 0 0 "237565" 15 "" "S"
1 508 1 "Bradley Mr. George (""George Arthur Brayton"")" "male" NA 0 0 "111427" 26.55 "" "S"
1 648 1 "Simonius-Blumer Col. Oberst Alfons" "male" 56 0 0 "13213" 35.5 "A26" "C"
0 255 3 "Rosblom Mrs. Viktor (Helena Wilhelmina)" "female" 41 0 2 "370129" 20.2125 "" "S"
0 602 3 "Slabenoff Mr. Petco" "male" NA 0 0 "349214" 7.8958 "" "S"
0 136 2 "Richard Mr. Emile" "male" 23 0 0 "SC/PARIS 2133" 15.0458 "" "C"
0 464 2 "Milling Mr. Jacob Christian" "male" 48 0 0 "234360" 13 "" "S"
1 570 3 "Jonsson Mr. Carl" "male" 32 0 0 "350417" 7.8542 "" "S"
1 126 3 "Nicola-Yarred Master. Elias" "male" 12 1 0 "2651" 11.2417 "" "C"
1 721 2 "Harper Miss. Annie Jessie ""Nina""" "female" 6 0 1 "248727" 33 "" "S"
0 31 1 "Uruchurtu Don. Manuel E" "male" 40 0 0 "PC 17601" 27.7208 "" "C"
0 261 3 "Smith Mr. Thomas" "male" NA 0 0 "384461" 7.75 "" "Q"
0 621 3 "Yasbeck Mr. Antoni" "male" 27 1 0 "2659" 14.4542 "" "C"
0 838 3 "Sirota Mr. Maurice" "male" NA 0 0 "392092" 8.05 "" "S"
0 68 3 "Crease Mr. Ernest James" "male" 19 0 0 "S.P. 3464" 8.1583 "" "S"
1 392 3 "Jansson Mr. Carl Olof" "male" 21 0 0 "350034" 7.7958 "" "S"
1 450 1 "Peuchen Major. Arthur Godfrey" "male" 52 0 0 "113786" 30.5 "C104" "S"
0 873 1 "Carlsson Mr. Frans Olof" "male" 33 0 0 "695" 5 "B51 B53 B55" "S"
1 11 3 "Sandstrom Miss. Marguerite Rut" "female" 4 1 1 "PP 9549" 16.7 "G6" "S"
1 187 3 "O'Brien Mrs. Thomas (Johanna ""Hannah"" Godfrey)" "female" NA 1 0 "370365" 15.5 "" "Q"
0 795 3 "Dantcheff Mr. Ristiu" "male" 25 0 0 "349203" 7.8958 "" "S"
1 780 1 "Robert Mrs. Edward Scott (Elisabeth Walton McMillan)" "female" 43 0 1 "24160" 211.3375 "B3" "S"
0 509 3 "Olsen Mr. Henry Margido" "male" 28 0 0 "C 4001" 22.525 "" "S"
0 285 1 "Smith Mr. Richard William" "male" NA 0 0 "113056" 26 "A19" "S"
0 34 2 "Wheadon Mr. Edward H" "male" 66 0 0 "C.A. 24579" 10.5 "" "S"
0 172 3 "Rice Master. Arthur" "male" 4 4 1 "382652" 29.125 "" "Q"
1 447 2 "Mellinger Miss. Madeleine Violet" "female" 13 0 1 "250644" 19.5 "" "S"
0 537 1 "Butt Major. Archibald Willingham" "male" 45 0 0 "113050" 26.55 "B38" "S"
0 386 2 "Davies Mr. Charles Henry" "male" 18 0 0 "S.O.C. 14879" 73.5 "" "S"
0 410 3 "Lefebre Miss. Ida" "female" NA 3 1 "4133" 25.4667 "" "S"
1 371 1 "Harder Mr. George Achilles" "male" 25 1 0 "11765" 55.4417 "E50" "C"
0 556 1 "Wright Mr. George" "male" 62 0 0 "113807" 26.55 "" "S"
0 730 3 "Ilmakangas Miss. Pieta Sofia" "female" 25 1 0 "STON/O2. 3101271" 7.925 "" "S"
0 416 3 "Meek Mrs. Thomas (Annie Louise Rowley)" "female" NA 0 0 "343095" 8.05 "" "S"
0 77 3 "Staneff Mr. Ivan" "male" NA 0 0 "349208" 7.8958 "" "S"
0 365 3 "O'Brien Mr. Thomas" "male" NA 1 0 "370365" 15.5 "" "Q"
0 562 3 "Sivic Mr. Husein" "male" 40 0 0 "349251" 7.8958 "" "S"
1 287 3 "de Mulder Mr. Theodore" "male" 30 0 0 "345774" 9.5 "" "S"
0 127 3 "McMahon Mr. Martin" "male" NA 0 0 "370372" 7.75 "" "Q"
0 64 3 "Skoog Master. Harald" "male" 4 3 2 "347088" 27.9 "" "S"
1 80 3 "Dowdell Miss. Elizabeth" "female" 30 0 0 "364516" 12.475 "" "S"
0 879 3 "Laleff Mr. Kristo" "male" NA 0 0 "349217" 7.8958 "" "S"
0 88 3 "Slocovski Mr. Selman Francis" "male" NA 0 0 "SOTON/OQ 392086" 8.05 "" "S"
1 191 2 "Pinsky Mrs. (Rosa)" "female" 32 0 0 "234604" 13 "" "S"
0 860 3 "Razi Mr. Raihed" "male" NA 0 0 "2629" 7.2292 "" "C"
0 244 3 "Maenpaa Mr. Matti Alexanteri" "male" 22 0 0 "STON/O 2. 3101275" 7.125 "" "S"
0 74 3 "Chronopoulos Mr. Apostolos" "male" 26 1 0 "2680" 14.4542 "" "C"
1 268 3 "Persson Mr. Ernst Ulrik" "male" 25 1 0 "347083" 7.775 "" "S"
0 148 3 "Ford Miss. Robina Maggie ""Ruby""" "female" 9 2 2 "W./C. 6608" 34.375 "" "S"
0 118 2 "Turpin Mr. William John Robert" "male" 29 1 0 "11668" 21 "" "S"
0 87 3 "Ford Mr. William Neal" "male" 16 1 3 "W./C. 6608" 34.375 "" "S"
0 814 3 "Andersson Miss. Ebba Iris Alfrida" "female" 6 4 2 "347082" 31.275 "" "S"
1 10 2 "Nasser Mrs. Nicholas (Adele Achem)" "female" 14 1 0 "237736" 30.0708 "" "C"
0 120 3 "Andersson Miss. Ellis Anna Maria" "female" 2 4 2 "347082" 31.275 "" "S"
1 829 3 "McCormack Mr. Thomas Joseph" "male" NA 0 0 "367228" 7.75 "" "Q"
0 406 2 "Gale Mr. Shadrach" "male" 34 1 0 "28664" 21 "" "S"
0 419 2 "Matthews Mr. William John" "male" 30 0 0 "28228" 13 "" "S"
1 299 1 "Saalfeld Mr. Adolphe" "male" NA 0 0 "19988" 30.5 "C106" "S"
1 711 1 "Mayne Mlle. Berthe Antonine (""Mrs de Villiers"")" "female" 24 0 0 "PC 17482" 49.5042 "C90" "C"
1 601 2 "Jacobsohn Mrs. Sidney Samuel (Amy Frances Christy)" "female" 24 2 1 "243847" 27 "" "S"
0 842 2 "Mudd Mr. Thomas Charles" "male" 16 0 0 "S.O./P.P. 3" 10.5 "" "S"
0 475 3 "Strandberg Miss. Ida Sofia" "female" 22 0 0 "7553" 9.8375 "" "S"
0 452 3 "Hagland Mr. Ingvald Olai Olsen" "male" NA 1 0 "65303" 19.9667 "" "S"
0 313 2 "Lahtinen Mrs. William (Anna Sylfven)" "female" 26 1 1 "250651" 26 "" "S"
0 593 3 "Elsbury Mr. William James" "male" 47 0 0 "A/5 3902" 7.25 "" "S"
0 532 3 "Toufik Mr. Nakli" "male" NA 0 0 "2641" 7.2292 "" "C"
1 29 3 "O'Dwyer Miss. Ellen ""Nellie""" "female" NA 0 0 "330959" 7.8792 "" "Q"
0 820 3 "Skoog Master. Karl Thorsten" "male" 10 3 2 "347088" 27.9 "" "S"
0 744 3 "McNamee Mr. Neal" "male" 24 1 0 "376566" 16.1 "" "S"
0 512 3 "Webber Mr. James" "male" NA 0 0 "SOTON/OQ 3101316" 8.05 "" "S"
1 470 3 "Baclini Miss. Helene Barbara" "female" 0.75 2 1 "2666" 19.2583 "" "C"
0 206 3 "Strom Miss. Telma Matilda" "female" 2 0 1 "347054" 10.4625 "G6" "S"
1 755 2 "Herman Mrs. Samuel (Jane Laver)" "female" 48 1 2 "220845" 65 "" "S"
1 781 3 "Ayoub Miss. Banoura" "female" 13 0 0 "2687" 7.2292 "" "C"
1 33 3 "Glynn Miss. Mary Agatha" "female" NA 0 0 "335677" 7.75 "" "Q"
1 571 2 "Harris Mr. George" "male" 62 0 0 "S.W./PP 752" 10.5 "" "S"
0 746 1 "Crosby Capt. Edward Gifford" "male" 70 1 1 "WE/P 5735" 71 "B22" "S"
0 294 3 "Haas Miss. Aloisia" "female" 24 0 0 "349236" 8.85 "" "S"
1 208 3 "Albimona Mr. Nassef Cassem" "male" 26 0 0 "2699" 18.7875 "" "C"
0 154 3 "van Billiard Mr. Austin Blyler" "male" 40.5 0 2 "A/5. 851" 14.5 "" "S"
0 267 3 "Panula Mr. Ernesti Arvid" "male" 16 4 1 "3101295" 39.6875 "" "S"
1 317 2 "Kantor Mrs. Sinai (Miriam Sternin)" "female" 24 1 0 "244367" 26 "" "S"
0 620 2 "Gavey Mr. Lawrence" "male" 26 0 0 "31028" 10.5 "" "S"
1 559 1 "Taussig Mrs. Emil (Tillie Mandelbaum)" "female" 39 1 1 "110413" 79.65 "E67" "S"
1 37 3 "Mamee Mr. Hanna" "male" NA 0 0 "2677" 7.2292 "" "C"
0 265 3 "Henry Miss. Delia" "female" NA 0 0 "382649" 7.75 "" "Q"
0 477 2 "Renouf Mr. Peter Henry" "male" 34 1 0 "31027" 21 "" "S"
1 219 1 "Bazzani Miss. Albina" "female" 32 0 0 "11813" 76.2917 "D15" "C"
0 30 3 "Todoroff Mr. Lalio" "male" NA 0 0 "349216" 7.8958 "" "S"
0 853 3 "Boulos Miss. Nourelain" "female" 9 1 1 "2678" 15.2458 "" "C"
0 409 3 "Birkeland Mr. Hans Martin Monsen" "male" 21 0 0 "312992" 7.775 "" "S"
1 328 2 "Ball Mrs. (Ada E Hall)" "female" 36 0 0 "28551" 13 "D" "S"
0 321 3 "Dennis Mr. Samuel" "male" 22 0 0 "A/5 21172" 7.25 "" "S"
1 22 2 "Beesley Mr. Lawrence" "male" 34 0 0 "248698" 13 "D56" "S"
1 110 3 "Moran Miss. Bertha" "female" NA 1 0 "371110" 24.15 "" "Q"
1 490 3 "Coutts Master. Eden Leslie ""Neville""" "male" 9 1 1 "C.A. 37671" 15.9 "" "S"
0 315 2 "Hart Mr. Benjamin" "male" 43 1 1 "F.C.C. 13529" 26.25 "" "S"
1 162 2 "Watt Mrs. James (Elizabeth ""Bessie"" Inglis Milne)" "female" 40 0 0 "C.A. 33595" 15.75 "" "S"
0 736 3 "Williams Mr. Leslie" "male" 28.5 0 0 "54636" 16.1 "" "S"
0 543 3 "Andersson Miss. Sigrid Elisabeth" "female" 11 4 2 "347082" 31.275 "" "S"
1 3 3 "Heikkinen Miss. Laina" "female" 26 0 0 "STON/O2. 3101282" 7.925 "" "S"
0 767 1 "Brewe Dr. Arthur Jackson" "male" NA 0 0 "112379" 39.6 "" "C"
0 533 3 "Elias Mr. Joseph Jr" "male" 17 1 1 "2690" 7.2292 "" "C"
0 598 3 "Johnson Mr. Alfred" "male" 49 0 0 "LINE" 0 "" "S"
0 667 2 "Butler Mr. Reginald Fenton" "male" 25 0 0 "234686" 13 "" "S"
1 335 1 "Frauenthal Mrs. Henry William (Clara Heinsheimer)" "female" NA 1 0 "PC 17611" 133.65 "" "S"
0 585 3 "Paulner Mr. Uscher" "male" NA 0 0 "3411" 8.7125 "" "C"
0 27 3 "Emir Mr. Farred Chehab" "male" NA 0 0 "2631" 7.225 "" "C"
0 564 3 "Simmons Mr. John" "male" NA 0 0 "SOTON/OQ 392082" 8.05 "" "S"
0 117 3 "Connors Mr. Patrick" "male" 70.5 0 0 "370369" 7.75 "" "Q"
0 834 3 "Augustsson Mr. Albert" "male" 23 0 0 "347468" 7.8542 "" "S"
1 461 1 "Anderson Mr. Harry" "male" 48 0 0 "19952" 26.55 "E12" "S"
1 395 3 "Sandstrom Mrs. Hjalmar (Agnes Charlotta Bengtsson)" "female" 24 0 2 "PP 9549" 16.7 "G6" "S"
1 82 3 "Sheerlinck Mr. Jan Baptist" "male" 29 0 0 "345779" 9.5 "" "S"
1 2 1 "Cumings Mrs. John Bradley (Florence Briggs Thayer)" "female" 38 1 0 "PC 17599" 71.2833 "C85" "C"
0 130 3 "Ekstrom Mr. Johan" "male" 45 0 0 "347061" 6.975 "" "S"
0 566 3 "Davies Mr. Alfred J" "male" 24 2 0 "A/4 48871" 24.15 "" "S"
1 480 3 "Hirvonen Miss. Hildur E" "female" 2 0 1 "3101298" 12.2875 "" "S"
1 456 3 "Jalsevac Mr. Ivan" "male" 29 0 0 "349240" 7.8958 "" "C"
0 528 1 "Farthing Mr. John" "male" NA 0 0 "PC 17483" 221.7792 "C95" "S"
0 72 3 "Goodwin Miss. Lillian Amy" "female" 16 5 2 "CA 2144" 46.9 "" "S"
1 308 1 "Penasco y Castellana Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo)" "female" 17 1 0 "PC 17758" 108.9 "C65" "C"
1 129 3 "Peter Miss. Anna" "female" NA 1 1 "2668" 22.3583 "F E69" "C"
1 550 2 "Davies Master. John Morgan Jr" "male" 8 1 1 "C.A. 33112" 36.75 "" "S"
0 773 2 "Mack Mrs. (Mary)" "female" 57 0 0 "S.O./P.P. 3" 10.5 "E77" "S"
1 347 2 "Smith Miss. Marion Elsie" "female" 40 0 0 "31418" 13 "" "S"
0 131 3 "Drazenoic Mr. Jozef" "male" 33 0 0 "349241" 7.8958 "" "C"
0 373 3 "Beavan Mr. William Thomas" "male" 19 0 0 "323951" 8.05 "" "S"
1 339 3 "Dahl Mr. Karl Edwart" "male" 45 0 0 "7598" 8.05 "" "S"
0 241 3 "Zabour Miss. Thamine" "female" NA 1 0 "2665" 14.4542 "" "C"
1 227 2 "Mellors Mr. William John" "male" 19 0 0 "SW/PP 751" 10.5 "" "S"
1 221 3 "Sunderland Mr. Victor Francis" "male" 16 0 0 "SOTON/OQ 392089" 8.05 "" "S"
0 350 3 "Dimic Mr. Jovan" "male" 42 0 0 "315088" 8.6625 "" "S"
0 164 3 "Calic Mr. Jovo" "male" 17 0 0 "315093" 8.6625 "" "S"
1 75 3 "Bing Mr. Lee" "male" 32 0 0 "1601" 56.4958 "" "S"
0 785 3 "Ali Mr. William" "male" 25 0 0 "SOTON/O.Q. 3101312" 7.05 "" "S"
1 560 3 "de Messemaeker Mrs. Guillaume Joseph (Emma)" "female" 36 1 0 "345572" 17.4 "" "S"
1 69 3 "Andersson Miss. Erna Alexandra" "female" 17 4 2 "3101281" 7.925 "" "S"
0 13 3 "Saundercock Mr. William Henry" "male" 20 0 0 "A/5. 2151" 8.05 "" "S"
1 519 2 "Angle Mrs. William A (Florence ""Mary"" Agnes Hughes)" "female" 36 1 0 "226875" 26 "" "S"
0 115 3 "Attalah Miss. Malake" "female" 17 0 0 "2627" 14.4583 "" "C"
0 565 3 "Meanwell Miss. (Marion Ogden)" "female" NA 0 0 "SOTON/O.Q. 392087" 8.05 "" "S"
0 659 2 "Eitemiller Mr. George Floyd" "male" 23 0 0 "29751" 13 "" "S"
1 185 3 "Kink-Heilmann Miss. Luise Gretchen" "female" 4 0 2 "315153" 22.025 "" "S"
0 375 3 "Palsson Miss. Stina Viola" "female" 3 3 1 "349909" 21.075 "" "S"
0 232 3 "Larsson Mr. Bengt Edvin" "male" 29 0 0 "347067" 7.775 "" "S"
1 248 2 "Hamalainen Mrs. William (Anna)" "female" 24 0 2 "250649" 14.5 "" "S"
0 421 3 "Gheorgheff Mr. Stanio" "male" NA 0 0 "349254" 7.8958 "" "C"
1 394 1 "Newell Miss. Marjorie" "female" 23 1 0 "35273" 113.275 "D36" "C"
1 616 2 "Herman Miss. Alice" "female" 24 1 2 "220845" 65 "" "S"
0 149 2 "Navratil Mr. Michel (""Louis M Hoffman"")" "male" 36.5 0 2 "230080" 26 "F2" "S"
1 292 1 "Bishop Mrs. Dickinson H (Helen Walton)" "female" 19 1 0 "11967" 91.0792 "B49" "C"
0 374 1 "Ringhini Mr. Sante" "male" 22 0 0 "PC 17760" 135.6333 "" "C"
1 623 3 "Nakid Mr. Sahid" "male" 20 1 1 "2653" 15.7417 "" "C"
0 759 3 "Theobald Mr. Thomas Leonard" "male" 34 0 0 "363294" 8.05 "" "S"
1 48 3 "O'Driscoll Miss. Bridget" "female" NA 0 0 "14311" 7.75 "" "Q"
0 224 3 "Nenkoff Mr. Christo" "male" NA 0 0 "349234" 7.8958 "" "S"
1 302 3 "McCoy Mr. Bernard" "male" NA 2 0 "367226" 23.25 "" "Q"
0 183 3 "Asplund Master. Clarence Gustaf Hugo" "male" 9 4 2 "347077" 31.3875 "" "S"
1 678 3 "Turja Miss. Anna Sofia" "female" 18 0 0 "4138" 9.8417 "" "S"
0 663 1 "Colley Mr. Edward Pomeroy" "male" 47 0 0 "5727" 25.5875 "E58" "S"
0 488 1 "Kent Mr. Edward Austin" "male" 58 0 0 "11771" 29.7 "B37" "C"
0 379 3 "Betros Mr. Tannous" "male" 20 0 0 "2648" 4.0125 "" "C"
0 776 3 "Myhrman Mr. Pehr Fabian Oliver Malkolm" "male" 18 0 0 "347078" 7.75 "" "S"
1 357 1 "Bowerman Miss. Elsie Edith" "female" 22 0 1 "113505" 55 "E33" "S"
1 454 1 "Goldenberg Mr. Samuel L" "male" 49 1 0 "17453" 89.1042 "C92" "C"
0 52 3 "Nosworthy Mr. Richard Cater" "male" 21 0 0 "A/4. 39886" 7.8 "" "S"
0 640 3 "Thorneycroft Mr. Percival" "male" NA 1 0 "376564" 16.1 "" "S"
0 325 3 "Sage Mr. George John Jr" "male" NA 8 2 "CA. 2343" 69.55 "" "S"
1 541 1 "Crosby Miss. Harriet R" "female" 36 0 2 "WE/P 5735" 71 "B22" "S"
0 442 3 "Hampe Mr. Leon" "male" 20 0 0 "345769" 9.5 "" "S"
0 363 3 "Barbara Mrs. (Catherine David)" "female" 45 0 1 "2691" 14.4542 "" "C"
0 334 3 "Vander Planke Mr. Leo Edmondus" "male" 16 2 0 "345764" 18 "" "S"
1 797 1 "Leader Dr. Alice (Farnham)" "female" 49 0 0 "17465" 25.9292 "D17" "S"
0 159 3 "Smiljanic Mr. Mile" "male" NA 0 0 "315037" 8.6625 "" "S"
0 226 3 "Berglund Mr. Karl Ivar Sven" "male" 22 0 0 "PP 4348" 9.35 "" "S"
0 669 3 "Cook Mr. Jacob" "male" 43 0 0 "A/5 3536" 8.05 "" "S"
1 636 2 "Davis Miss. Mary" "female" 28 0 0 "237668" 13 "" "S"
1 341 2 "Navratil Master. Edmond Roger" "male" 2 1 1 "230080" 26 "F2" "S"
1 306 1 "Allison Master. Hudson Trevor" "male" 0.92 1 2 "113781" 151.55 "C22 C26" "S"
0 106 3 "Mionoff Mr. Stoytcho" "male" 28 0 0 "349207" 7.8958 "" "S"
0 253 1 "Stead Mr. William Thomas" "male" 62 0 0 "113514" 26.55 "C87" "S"
0 139 3 "Osen Mr. Olaf Elon" "male" 16 0 0 "7534" 9.2167 "" "S"
0 133 3 "Robins Mrs. Alexander A (Grace Charity Laury)" "female" 47 1 0 "A/5. 3337" 14.5 "" "S"
1 652 2 "Doling Miss. Elsie" "female" 18 0 1 "231919" 23 "" "S"
0 414 2 "Cunningham Mr. Alfred Fleming" "male" NA 0 0 "239853" 0 "" "S"
0 811 3 "Alexander Mr. William" "male" 26 0 0 "3474" 7.8875 "" "S"
1 551 1 "Thayer Mr. John Borland Jr" "male" 17 0 2 "17421" 110.8833 "C70" "C"
0 378 1 "Widener Mr. Harry Elkins" "male" 27 0 2 "113503" 211.5 "C82" "C"
1 578 1 "Silvey Mrs. William Baird (Alice Munger)" "female" 39 1 0 "13507" 55.9 "E44" "S"
0 279 3 "Rice Master. Eric" "male" 7 4 1 "382652" 29.125 "" "Q"
0 493 1 "Molson Mr. Harry Markland" "male" 55 0 0 "113787" 30.5 "C30" "S"
0 286 3 "Stankovic Mr. Ivan" "male" 33 0 0 "349239" 8.6625 "" "C"
0 123 2 "Nasser Mr. Nicholas" "male" 32.5 1 0 "237736" 30.0708 "" "C"
0 175 1 "Smith Mr. James Clinch" "male" 56 0 0 "17764" 30.6958 "A7" "C"
1 391 1 "Carter Mr. William Ernest" "male" 36 1 2 "113760" 120 "B96 B98" "S"
1 511 3 "Daly Mr. Eugene Patrick" "male" 29 0 0 "382651" 7.75 "" "Q"
1 802 2 "Collyer Mrs. Harvey (Charlotte Annie Tate)" "female" 31 1 1 "C.A. 31921" 26.25 "" "S"
1 346 2 "Brown Miss. Amelia ""Mildred""" "female" 24 0 0 "248733" 13 "F33" "S"
1 142 3 "Nysten Miss. Anna Sofia" "female" 22 0 0 "347081" 7.75 "" "S"
0 568 3 "Palsson Mrs. Nils (Alma Cornelia Berglund)" "female" 29 0 4 "349909" 21.075 "" "S"
0 817 3 "Heininen Miss. Wendla Maria" "female" 23 0 0 "STON/O2. 3101290" 7.925 "" "S"
0 847 3 "Sage Mr. Douglas Bullen" "male" NA 8 2 "CA. 2343" 69.55 "" "S"
1 417 2 "Drew Mrs. James Vivian (Lulu Thorne Christian)" "female" 34 1 1 "28220" 32.5 "" "S"
1 766 1 "Hogeboom Mrs. John C (Anna Andrews)" "female" 51 1 0 "13502" 77.9583 "D11" "S"
1 408 2 "Richards Master. William Rowe" "male" 3 1 1 "29106" 18.75 "" "S"
0 103 1 "White Mr. Richard Frasar" "male" 21 0 1 "35281" 77.2875 "D26" "S"
0 266 2 "Reeves Mr. David" "male" 36 0 0 "C.A. 17248" 10.5 "" "S"
0 737 3 "Ford Mrs. Edward (Margaret Ann Watson)" "female" 48 1 3 "W./C. 6608" 34.375 "" "S"
1 26 3 "Asplund Mrs. Carl Oscar (Selma Augusta Emilia Johansson)" "female" 38 1 5 "347077" 31.3875 "" "S"
0 679 3 "Goodwin Mrs. Frederick (Augusta Tyler)" "female" 43 1 6 "CA 2144" 46.9 "" "S"
0 774 3 "Elias Mr. Dibo" "male" NA 0 0 "2674" 7.225 "" "C"
1 538 1 "LeRoy Miss. Bertha" "female" 30 0 0 "PC 17761" 106.425 "" "C"
0 198 3 "Olsen Mr. Karl Siegwart Andreas" "male" 42 0 1 "4579" 8.4042 "" "S"
0 818 2 "Mallet Mr. Albert" "male" 31 1 1 "S.C./PARIS 2079" 37.0042 "" "C"
1 143 3 "Hakkarainen Mrs. Pekka Pietari (Elin Matilda Dolck)" "female" 24 1 0 "STON/O2. 3101279" 15.85 "" "S"
1 782 1 "Dick Mrs. Albert Adrian (Vera Gillespie)" "female" 17 1 0 "17474" 57 "B20" "S"
0 51 3 "Panula Master. Juha Niilo" "male" 7 4 1 "3101295" 39.6875 "" "S"
1 12 1 "Bonnell Miss. Elizabeth" "female" 58 0 0 "113783" 26.55 "C103" "S"
0 595 2 "Chapman Mr. John Henry" "male" 37 1 0 "SC/AH 29037" 26 "" "S"
1 513 1 "McGough Mr. James Robert" "male" 36 0 0 "PC 17473" 26.2875 "E25" "S"
1 610 1 "Shutes Miss. Elizabeth W" "female" 40 0 0 "PC 17582" 153.4625 "C125" "S"
1 304 2 "Keane Miss. Nora A" "female" NA 0 0 "226593" 12.35 "E101" "Q"
1 323 2 "Slayter Miss. Hilda Mary" "female" 30 0 0 "234818" 12.35 "" "Q"
1 280 3 "Abbott Mrs. Stanton (Rosa Hunt)" "female" 35 1 1 "C.A. 2673" 20.25 "" "S"
0 397 3 "Olsson Miss. Elina" "female" 31 0 0 "350407" 7.8542 "" "S"
0 886 3 "Rice Mrs. William (Margaret Norton)" "female" 39 0 5 "382652" 29.125 "" "Q"
1 682 1 "Hassab Mr. Hammad" "male" 27 0 0 "PC 17572" 76.7292 "D49" "C"
0 38 3 "Cann Mr. Ernest Charles" "male" 21 0 0 "A./5. 2152" 8.05 "" "S"
0 696 2 "Chapman Mr. Charles Henry" "male" 52 0 0 "248731" 13.5 "" "S"
1 231 1 "Harris Mrs. Henry Birkhardt (Irene Wallach)" "female" 35 1 0 "36973" 83.475 "C83" "S"
0 681 3 "Peters Miss. Katie" "female" NA 0 0 "330935" 8.1375 "" "Q"
1 310 1 "Francatelli Miss. Laura Mabel" "female" 30 0 0 "PC 17485" 56.9292 "E36" "C"
1 348 3 "Davison Mrs. Thomas Henry (Mary E Finck)" "female" NA 1 0 "386525" 16.1 "" "S"
0 758 2 "Bailey Mr. Percy Andrew" "male" 18 0 0 "29108" 11.5 "" "S"
1 633 1 "Stahelin-Maeglin Dr. Max" "male" 32 0 0 "13214" 30.5 "B50" "C"
0 793 3 "Sage Miss. Stella Anna" "female" NA 8 2 "CA. 2343" 69.55 "" "S"
1 605 1 "Homer Mr. Harry (""Mr E Haven"")" "male" 35 0 0 "111426" 26.55 "" "C"
0 491 3 "Hagland Mr. Konrad Mathias Reiersen" "male" NA 1 0 "65304" 19.9667 "" "S"
1 613 3 "Murphy Miss. Margaret Jane" "female" NA 1 0 "367230" 15.5 "" "Q"
1 16 2 "Hewlett Mrs. (Mary D Kingcome) " "female" 55 0 0 "248706" 16 "" "S"
0 288 3 "Naidenoff Mr. Penko" "male" 22 0 0 "349206" 7.8958 "" "S"
1 619 2 "Becker Miss. Marion Louise" "female" 4 2 1 "230136" 39 "F4" "S"
1 59 2 "West Miss. Constance Mirium" "female" 5 1 2 "C.A. 34651" 27.75 "" "S"
1 276 1 "Andrews Miss. Kornelia Theodosia" "female" 63 1 0 "13502" 77.9583 "D7" "S"
0 750 3 "Connaghton Mr. Michael" "male" 31 0 0 "335097" 7.75 "" "Q"
0 733 2 "Knight Mr. Robert J" "male" NA 0 0 "239855" 0 "" "S"
0 471 3 "Keefe Mr. Arthur" "male" NA 0 0 "323592" 7.25 "" "S"
0 247 3 "Lindahl Miss. Agda Thorilda Viktoria" "female" 25 0 0 "347071" 7.775 "" "S"
1 205 3 "Cohen Mr. Gurshon ""Gus""" "male" 18 0 0 "A/5 3540" 8.05 "" "S"
1 98 1 "Greenfield Mr. William Bertram" "male" 23 0 1 "PC 17759" 63.3583 "D10 D12" "C"
0 318 2 "Moraweck Dr. Ernest" "male" 54 0 0 "29011" 14 "" "S"
0 91 3 "Christmann Mr. Emil" "male" 29 0 0 "343276" 8.05 "" "S"
0 783 1 "Long Mr. Milton Clyde" "male" 29 0 0 "113501" 30 "D6" "S"
0 76 3 "Moen Mr. Sigurd Hansen" "male" 25 0 0 "348123" 7.65 "F G73" "S"
0 506 1 "Penasco y Castellana Mr. Victor de Satode" "male" 18 1 0 "PC 17758" 108.9 "C65" "C"
0 43 3 "Kraeff Mr. Theodor" "male" NA 0 0 "349253" 7.8958 "" "C"
1 867 2 "Duran y More Miss. Asuncion" "female" 27 1 0 "SC/PARIS 2149" 13.8583 "" "C"
0 606 3 "Lindell Mr. Edvard Bengtsson" "male" 36 1 0 "349910" 15.55 "" "S"
1 62 1 "Icard Miss. Amelie" "female" 38 0 0 "113572" 80 "B28" ""
1 134 2 "Weisz Mrs. Leopold (Mathilde Francoise Pede)" "female" 29 1 0 "228414" 26 "" "S"
0 762 3 "Nirva Mr. Iisakki Antino Aijo" "male" 41 0 0 "SOTON/O2 3101272" 7.125 "" "S"
1 195 1 "Brown Mrs. James Joseph (Margaret Tobin)" "female" 44 0 0 "PC 17610" 27.7208 "B4" "C"
0 720 3 "Johnson Mr. Malkolm Joackim" "male" 33 0 0 "347062" 7.775 "" "S"
0 583 2 "Downton Mr. William James" "male" 54 0 0 "28403" 26 "" "S"
0 483 3 "Rouse Mr. Richard Henry" "male" 50 0 0 "A/5 3594" 8.05 "" "S"
0 396 3 "Johansson Mr. Erik" "male" 22 0 0 "350052" 7.7958 "" "S"
0 100 2 "Kantor Mr. Sinai" "male" 34 1 0 "244367" 26 "" "S"
0 772 3 "Jensen Mr. Niels Peder" "male" 48 0 0 "350047" 7.8542 "" "S"
0 81 3 "Waelens Mr. Achille" "male" 22 0 0 "345767" 9 "" "S"
1 188 1 "Romaine Mr. Charles Hallace (""Mr C Rolmane"")" "male" 45 0 0 "111428" 26.55 "" "S"
0 576 3 "Patchett Mr. George" "male" 19 0 0 "358585" 14.5 "" "S"
1 324 2 "Caldwell Mrs. Albert Francis (Sylvia Mae Harbaugh)" "female" 22 1 1 "248738" 29 "" "S"
1 427 2 "Clarke Mrs. Charles V (Ada Maria Winfield)" "female" 28 1 0 "2003" 26 "" "S"
1 586 1 "Taussig Miss. Ruth" "female" 18 0 2 "110413" 79.65 "E68" "S"
1 557 1 "Duff Gordon Lady. (Lucille Christiana Sutherland) (""Mrs Morgan"")" "female" 48 1 0 "11755" 39.6 "A16" "C"
1 572 1 "Appleton Mrs. Edward Dale (Charlotte Lamson)" "female" 53 2 0 "11769" 51.4792 "C101" "S"
0 96 3 "Shorney Mr. Charles Joseph" "male" NA 0 0 "374910" 8.05 "" "S"
1 713 1 "Taylor Mr. Elmer Zebley" "male" 48 1 0 "19996" 52 "C126" "S"
0 141 3 "Boulos Mrs. Joseph (Sultana)" "female" NA 0 2 "2678" 15.2458 "" "C"
0 55 1 "Ostby Mr. Engelhart Cornelius" "male" 65 0 1 "113509" 61.9792 "B30" "C"
1 368 3 "Moussa Mrs. (Mantoura Boulos)" "female" NA 0 0 "2626" 7.2292 "" "C"
0 387 3 "Goodwin Master. Sidney Leonard" "male" 1 5 2 "CA 2144" 46.9 "" "S"
1 376 1 "Meyer Mrs. Edgar Joseph (Leila Saks)" "female" NA 1 0 "PC 17604" 82.1708 "" "C"
1 194 2 "Navratil Master. Michel M" "male" 3 1 1 "230080" 26 "F2" "S"
0 643 3 "Skoog Miss. Margit Elizabeth" "female" 2 3 2 "347088" 27.9 "" "S"
1 44 2 "Laroche Miss. Simonne Marie Anne Andree" "female" 3 1 2 "SC/Paris 2123" 41.5792 "" "C"
1 40 3 "Nicola-Yarred Miss. Jamila" "female" 14 1 0 "2651" 11.2417 "" "C"
1 588 1 "Frolicher-Stehli Mr. Maxmillian" "male" 60 1 1 "13567" 79.2 "B41" "C"
0 380 3 "Gustafsson Mr. Karl Gideon" "male" 19 0 0 "347069" 7.775 "" "S"
0 423 3 "Zimmerman Mr. Leo" "male" 29 0 0 "315082" 7.875 "" "S"
1 600 1 "Duff Gordon Sir. Cosmo Edmund (""Mr Morgan"")" "male" 49 1 0 "PC 17485" 56.9292 "A20" "C"
0 542 3 "Andersson Miss. Ingeborg Constanzia" "female" 9 4 2 "347082" 31.275 "" "S"
0 535 3 "Cacic Miss. Marija" "female" 30 0 0 "315084" 8.6625 "" "S"
1 804 3 "Thomas Master. Assad Alexander" "male" 0.42 0 1 "2625" 8.5167 "" "C"
1 866 2 "Bystrom Mrs. (Karolina)" "female" 42 0 0 "236852" 13 "" "S"
0 504 3 "Laitinen Miss. Kristina Sofia" "female" 37 0 0 "4135" 9.5875 "" "S"
0 647 3 "Cor Mr. Liudevit" "male" 19 0 0 "349231" 7.8958 "" "S"
0 749 1 "Marvin Mr. Daniel Warner" "male" 19 1 0 "113773" 53.1 "D30" "S"
1 821 1 "Hays Mrs. Charles Melville (Clara Jennings Gregg)" "female" 52 1 1 "12749" 93.5 "B69" "S"
1 787 3 "Sjoblom Miss. Anna Sofia" "female" 18 0 0 "3101265" 7.4958 "" "S"
1 184 2 "Becker Master. Richard F" "male" 1 2 1 "230136" 39 "F4" "S"
0 852 3 "Svensson Mr. Johan" "male" 74 0 0 "347060" 7.775 "" "S"
0 558 1 "Robbins Mr. Victor" "male" NA 0 0 "PC 17757" 227.525 "" "C"
0 163 3 "Bengtsson Mr. John Viktor" "male" 26 0 0 "347068" 7.775 "" "S"
0 455 3 "Peduzzi Mr. Joseph" "male" NA 0 0 "A/5 2817" 8.05 "" "S"
0 220 2 "Harris Mr. Walter" "male" 30 0 0 "W/C 14208" 10.5 "" "S"
0 245 3 "Attalah Mr. Sleiman" "male" 30 0 0 "2694" 7.225 "" "C"
0 422 3 "Charters Mr. David" "male" 21 0 0 "A/5. 13032" 7.7333 "" "Q"
0 884 2 "Banfield Mr. Frederick James" "male" 28 0 0 "C.A./SOTON 34068" 10.5 "" "S"
0 453 1 "Foreman Mr. Benjamin Laventall" "male" 30 0 0 "113051" 27.75 "C111" "C"
0 841 3 "Alhomaki Mr. Ilmari Rudolf" "male" 20 0 0 "SOTON/O2 3101287" 7.925 "" "S"
0 264 1 "Harrison Mr. William" "male" 40 0 0 "112059" 0 "B94" "S"
1 381 1 "Bidois Miss. Rosalie" "female" 42 0 0 "PC 17757" 227.525 "" "C"
1 24 1 "Sloper Mr. William Thompson" "male" 28 0 0 "113788" 35.5 "A6" "S"
1 708 1 "Calderhead Mr. Edward Pennington" "male" 42 0 0 "PC 17476" 26.2875 "E24" "S"
0 15 3 "Vestrom Miss. Hulda Amanda Adolfina" "female" 14 0 0 "350406" 7.8542 "" "S"
0 703 3 "Barbara Miss. Saiide" "female" 18 0 1 "2691" 14.4542 "" "C"
0 549 3 "Goldsmith Mr. Frank John" "male" 33 1 1 "363291" 20.525 "" "S"
1 54 2 "Faunthorpe Mrs. Lizzie (Elizabeth Anne Wilkinson)" "female" 29 1 0 "2926" 26 "" "S"
0 495 3 "Stanley Mr. Edward Roland" "male" 21 0 0 "A/4 45380" 8.05 "" "S"
0 686 2 "Laroche Mr. Joseph Philippe Lemercier" "male" 25 1 2 "SC/Paris 2123" 41.5792 "" "C"
0 116 3 "Pekoniemi Mr. Edvard" "male" 21 0 0 "STON/O 2. 3101294" 7.925 "" "S"
0 105 3 "Gustafsson Mr. Anders Vilhelm" "male" 37 2 0 "3101276" 7.925 "" "S"
1 738 1 "Lesurer Mr. Gustave J" "male" 35 0 0 "PC 17755" 512.3292 "B101" "C"
1 798 3 "Osman Mrs. Mara" "female" 31 0 0 "349244" 8.6833 "" "S"
0 615 3 "Brocklebank Mr. William Alfred" "male" 35 0 0 "364512" 8.05 "" "S"
0 815 3 "Tomlin Mr. Ernest Portage" "male" 30.5 0 0 "364499" 8.05 "" "S"
0 161 3 "Cribb Mr. John Hatfield" "male" 44 0 1 "371362" 16.1 "" "S"
1 863 1 "Swift Mrs. Frederick Joel (Margaret Welles Barron)" "female" 48 0 0 "17466" 25.9292 "D17" "S"
1 574 3 "Kelly Miss. Mary" "female" NA 0 0 "14312" 7.75 "" "Q"
0 498 3 "Shellard Mr. Frederick William" "male" NA 0 0 "C.A. 6212" 15.1 "" "S"
0 58 3 "Novel Mr. Mansouer" "male" 28.5 0 0 "2697" 7.2292 "" "C"
0 237 2 "Hold Mr. Stephen" "male" 44 1 0 "26707" 26 "" "S"
0 882 3 "Markun Mr. Johann" "male" 33 0 0 "349257" 7.8958 "" "S"
0 788 3 "Rice Master. George Hugh" "male" 8 4 1 "382652" 29.125 "" "Q"
1 693 3 "Lam Mr. Ali" "male" NA 0 0 "1601" 56.4958 "" "S"
0 673 2 "Mitchell Mr. Henry Michael" "male" 70 0 0 "C.A. 24580" 10.5 "" "S"
0 478 3 "Braund Mr. Lewis Richard" "male" 29 1 0 "3460" 7.0458 "" "S"
0 322 3 "Danoff Mr. Yoto" "male" 27 0 0 "349219" 7.8958 "" "S"
0 800 3 "Van Impe Mrs. Jean Baptiste (Rosalie Paula Govaert)" "female" 30 1 1 "345773" 24.15 "" "S"
0 739 3 "Ivanoff Mr. Kanio" "male" NA 0 0 "349201" 7.8958 "" "S"
0 1 3 "Braund Mr. Owen Harris" "male" 22 1 0 "A/5 21171" 7.25 "" "S"
0 883 3 "Dahlberg Miss. Gerda Ulrika" "female" 22 0 0 "7552" 10.5167 "" "S"
0 546 1 "Nicholson Mr. Arthur Ernest" "male" 64 0 0 "693" 26 "" "S"
1 756 2 "Hamalainen Master. Viljo" "male" 0.67 1 1 "250649" 14.5 "" "S"
0 501 3 "Calic Mr. Petar" "male" 17 0 0 "315086" 8.6625 "" "S"
0 35 1 "Meyer Mr. Edgar Joseph" "male" 28 1 0 "PC 17604" 82.1708 "" "C"
0 156 1 "Williams Mr. Charles Duane" "male" 51 0 1 "PC 17597" 61.3792 "" "C"
1 212 2 "Cameron Miss. Clear Annie" "female" 35 0 0 "F.C.C. 13528" 21 "" "S"
0 704 3 "Gallagher Mr. Martin" "male" 25 0 0 "36864" 7.7417 "" "Q"
0 877 3 "Gustafsson Mr. Alfred Ossian" "male" 20 0 0 "7534" 9.8458 "" "S"
0 719 3 "McEvoy Mr. Michael" "male" NA 0 0 "36568" 15.5 "" "Q"
1 474 2 "Jerwan Mrs. Amin S (Marie Marthe Thuillard)" "female" 23 0 0 "SC/AH Basle 541" 13.7917 "D" "C"
1 870 3 "Johnson Master. Harold Theodor" "male" 4 1 1 "347742" 11.1333 "" "S"
0 71 2 "Jenkin Mr. Stephen Curnow" "male" 32 0 0 "C.A. 33111" 10.5 "" "S"
0 353 3 "Elias Mr. Tannous" "male" 15 1 1 "2695" 7.2292 "" "C"
1 301 3 "Kelly Miss. Anna Katherine ""Annie Kate""" "female" NA 0 0 "9234" 7.75 "" "Q"
0 489 3 "Somerton Mr. Francis William" "male" 30 0 0 "A.5. 18509" 8.05 "" "S"
0 627 2 "Kirkland Rev. Charles Leonard" "male" 57 0 0 "219533" 12.35 "" "Q"
0 522 3 "Vovk Mr. Janko" "male" 22 0 0 "349252" 7.8958 "" "S"
1 527 2 "Ridsdale Miss. Lucy" "female" 50 0 0 "W./C. 14258" 10.5 "" "S"
0 638 2 "Collyer Mr. Harvey" "male" 31 1 1 "C.A. 31921" 26.25 "" "S"
0 340 1 "Blackwell Mr. Stephen Weart" "male" 45 0 0 "113784" 35.5 "T" "S"
1 830 1 "Stone Mrs. George Nelson (Martha Evelyn)" "female" 62 0 0 "113572" 80 "B28" ""
0 525 3 "Kassem Mr. Fared" "male" NA 0 0 "2700" 7.2292 "" "C"
0 111 1 "Porter Mr. Walter Chamberlain" "male" 47 0 0 "110465" 52 "C110" "S"
0 796 2 "Otter Mr. Richard" "male" 39 0 0 "28213" 13 "" "S"
0 140 1 "Giglio Mr. Victor" "male" 24 0 0 "PC 17593" 79.2 "B86" "C"
0 844 3 "Lemberopolous Mr. Peter L" "male" 34.5 0 0 "2683" 6.4375 "" "C"
0 92 3 "Andreasson Mr. Paul Edvin" "male" 20 0 0 "347466" 7.8542 "" "S"
0 770 3 "Gronnestad Mr. Daniel Danielsen" "male" 32 0 0 "8471" 8.3625 "" "S"
0 715 2 "Greenberg Mr. Samuel" "male" 52 0 0 "250647" 13 "" "S"
0 849 2 "Harper Rev. John" "male" 28 0 1 "248727" 33 "" "S"
0 864 3 "Sage Miss. Dorothy Edith ""Dolly""" "female" NA 8 2 "CA. 2343" 69.55 "" "S"
0 305 3 "Williams Mr. Howard Hugh ""Harry""" "male" NA 0 0 "A/5 2466" 8.05 "" "S"
1 709 1 "Cleaver Miss. Alice" "female" 22 0 0 "113781" 151.55 "" "S"
1 449 3 "Baclini Miss. Marie Catherine" "female" 5 2 1 "2666" 19.2583 "" "C"
1 216 1 "Newell Miss. Madeleine" "female" 31 1 0 "35273" 113.275 "D36" "C"
1 430 3 "Pickard Mr. Berk (Berk Trembisky)" "male" 32 0 0 "SOTON/O.Q. 392078" 8.05 "E10" "S"
0 203 3 "Johanson Mr. Jakob Alfred" "male" 34 0 0 "3101264" 6.4958 "" "S"
1 284 3 "Dorking Mr. Edward Arthur" "male" 19 0 0 "A/5. 10482" 8.05 "" "S"
1 822 3 "Lulic Mr. Nikola" "male" 27 0 0 "315098" 8.6625 "" "S"
0 792 2 "Gaskell Mr. Alfred" "male" 16 0 0 "239865" 26 "" "S"
1 370 1 "Aubart Mme. Leontine Pauline" "female" 24 0 0 "PC 17477" 69.3 "B35" "C"
0 233 2 "Sjostedt Mr. Ernst Adolf" "male" 59 0 0 "237442" 13.5 "" "S"
0 25 3 "Palsson Miss. Torborg Danira" "female" 8 3 1 "349909" 21.075 "" "S"
0 653 3 "Kalvik Mr. Johannes Halvorsen" "male" 21 0 0 "8475" 8.4333 "" "S"
1 289 2 "Hosono Mr. Masabumi" "male" 42 0 0 "237798" 13 "" "S"
1 473 2 "West Mrs. Edwy Arthur (Ada Mary Worth)" "female" 33 1 2 "C.A. 34651" 27.75 "" "S"
0 523 3 "Lahoud Mr. Sarkis" "male" NA 0 0 "2624" 7.225 "" "C"
0 6 3 "Moran Mr. James" "male" NA 0 0 "330877" 8.4583 "" "Q"
0 153 3 "Meo Mr. Alfonzo" "male" 55.5 0 0 "A.5. 11206" 8.05 "" "S"
1 260 2 "Parrish Mrs. (Lutie Davis)" "female" 50 0 1 "230433" 26 "" "S"
0 672 1 "Davidson Mr. Thornton" "male" 31 1 0 "F.C. 12750" 52 "B71" "S"
0 868 1 "Roebling Mr. Washington Augustus II" "male" 31 0 0 "PC 17590" 50.4958 "A24" "S"
0 17 3 "Rice Master. Eugene" "male" 2 4 1 "382652" 29.125 "" "Q"
1 147 3 "Andersson Mr. August Edvard (""Wennerstrom"")" "male" 27 0 0 "350043" 7.7958 "" "S"
1 581 2 "Christy Miss. Julie Rachel" "female" 25 1 1 "237789" 30 "" "S"
0 732 3 "Hassan Mr. Houssein G N" "male" 11 0 0 "2699" 18.7875 "" "C"
0 356 3 "Vanden Steen Mr. Leo Peter" "male" 28 0 0 "345783" 9.5 "" "S"
0 372 3 "Wiklund Mr. Jakob Alfred" "male" 18 1 0 "3101267" 6.4958 "" "S"
0 94 3 "Dean Mr. Bertram Frank" "male" 26 1 2 "C.A. 2315" 20.575 "" "S"
0 791 3 "Keane Mr. Andrew ""Andy""" "male" NA 0 0 "12460" 7.75 "" "Q"
1 167 1 "Chibnall Mrs. (Edith Martha Bowerman)" "female" NA 0 1 "113505" 55 "E33" "S"
0 297 3 "Hanna Mr. Mansour" "male" 23.5 0 0 "2693" 7.2292 "" "C"
0 632 3 "Lundahl Mr. Johan Svensson" "male" 51 0 0 "347743" 7.0542 "" "S"
0 801 2 "Ponesell Mr. Martin" "male" 34 0 0 "250647" 13 "" "S"
0 569 3 "Doharr Mr. Tannous" "male" NA 0 0 "2686" 7.2292 "" "C"
0 664 3 "Coleff Mr. Peju" "male" 36 0 0 "349210" 7.4958 "" "S"
1 330 1 "Hippach Miss. Jean Gertrude" "female" 16 0 1 "111361" 57.9792 "B18" "C"
1 642 1 "Sagesser Mlle. Emma" "female" 24 0 0 "PC 17477" 69.3 "B35" "C"
0 398 2 "McKane Mr. Peter David" "male" 46 0 0 "28403" 26 "" "S"
0 700 3 "Humblen Mr. Adolf Mathias Nicolai Olsen" "male" 42 0 0 "348121" 7.65 "F G63" "S"
0 78 3 "Moutal Mr. Rahamin Haim" "male" NA 0 0 "374746" 8.05 "" "S"
0 699 1 "Thayer Mr. John Borland" "male" 49 1 1 "17421" 110.8833 "C68" "C"
1 428 2 "Phillips Miss. Kate Florence (""Mrs Kate Louise Phillips Marshall"")" "female" 19 0 0 "250655" 26 "" "S"
0 70 3 "Kink Mr. Vincenz" "male" 26 2 0 "315151" 8.6625 "" "S"
0 846 3 "Abbing Mr. Anthony" "male" 42 0 0 "C.A. 5547" 7.55 "" "S"
0 768 3 "Mangan Miss. Mary" "female" 30.5 0 0 "364850" 7.75 "" "Q"
1 646 1 "Harper Mr. Henry Sleeper" "male" 48 1 0 "PC 17572" 76.7292 "D33" "C"
1 497 1 "Eustis Miss. Elizabeth Mussey" "female" 54 1 0 "36947" 78.2667 "D20" "C"
0 617 3 "Danbom Mr. Ernst Gilbert" "male" 34 1 1 "347080" 14.4 "" "S"
0 181 3 "Sage Miss. Constance Gladys" "female" NA 8 2 "CA. 2343" 69.55 "" "S"
0 65 1 "Stewart Mr. Albert A" "male" NA 0 0 "PC 17605" 27.7208 "" "C"
0 779 3 "Kilgannon Mr. Thomas J" "male" NA 0 0 "36865" 7.7375 "" "Q"
1 342 1 "Fortune Miss. Alice Elizabeth" "female" 24 3 2 "19950" 263 "C23 C25 C27" "S"
0 553 3 "O'Brien Mr. Timothy" "male" NA 0 0 "330979" 7.8292 "" "Q"
0 207 3 "Backstrom Mr. Karl Alfred" "male" 32 1 0 "3101278" 15.85 "" "S"
1 319 1 "Wick Miss. Mary Natalie" "female" 31 0 2 "36928" 164.8667 "C7" "S"
0 358 2 "Funk Miss. Annie Clemmer" "female" 38 0 0 "237671" 13 "" "S"
0 178 1 "Isham Miss. Ann Elizabeth" "female" 50 0 0 "PC 17595" 28.7125 "C49" "C"
0 213 3 "Perkin Mr. John Henry" "male" 22 0 0 "A/5 21174" 7.25 "" "S"
0 462 3 "Morley Mr. William" "male" 34 0 0 "364506" 8.05 "" "S"
0 170 3 "Ling Mr. Lee" "male" 28 0 0 "1601" 56.4958 "" "S"
0 865 2 "Gill Mr. John William" "male" 24 0 0 "233866" 13 "" "S"
1 217 3 "Honkanen Miss. Eliina" "female" 27 0 0 "STON/O2. 3101283" 7.925 "" "S"
1 66 3 "Moubarek Master. Gerios" "male" NA 1 1 "2661" 15.2458 "" "C"
0 389 3 "Sadlier Mr. Matthew" "male" NA 0 0 "367655" 7.7292 "" "Q"
0 293 2 "Levy Mr. Rene Jacques" "male" 36 0 0 "SC/Paris 2163" 12.875 "D" "C"
0 214 2 "Givard Mr. Hans Kristensen" "male" 30 0 0 "250646" 13 "" "S"
1 326 1 "Young Miss. Marie Grice" "female" 36 0 0 "PC 17760" 135.6333 "C32" "C"
0 283 3 "de Pelsmaeker Mr. Alfons" "male" 16 0 0 "345778" 9.5 "" "S"
0 481 3 "Goodwin Master. Harold Victor" "male" 9 5 2 "CA 2144" 46.9 "" "S"
0 192 2 "Carbines Mr. William" "male" 19 0 0 "28424" 13 "" "S"
0 345 2 "Fox Mr. Stanley Hubert" "male" 36 0 0 "229236" 13 "" "S"
1 609 2 "Laroche Mrs. Joseph (Juliette Marie Louise Lafargue)" "female" 22 1 2 "SC/Paris 2123" 41.5792 "" "C"
0 660 1 "Newell Mr. Arthur Webster" "male" 58 0 2 "35273" 113.275 "D48" "C"
1 85 2 "Ilett Miss. Bertha" "female" 17 0 0 "SO/C 14885" 10.5 "" "S"
1 521 1 "Perreault Miss. Anne" "female" 30 0 0 "12749" 93.5 "B73" "S"
1 644 3 "Foo Mr. Choong" "male" NA 0 0 "1601" 56.4958 "" "S"
1 831 3 "Yasbeck Mrs. Antoni (Selini Alexander)" "female" 15 1 0 "2659" 14.4542 "" "C"
1 Survived PassengerId Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked
2 0 530 2 Hocking Mr. Richard George male 23 2 1 29104 11.5 S
3 0 466 3 Goncalves Mr. Manuel Estanslas male 38 0 0 SOTON/O.Q. 3101306 7.05 S
4 0 753 3 Vande Velde Mr. Johannes Joseph male 33 0 0 345780 9.5 S
5 0 855 2 Carter Mrs. Ernest Courtenay (Lilian Hughes) female 44 1 0 244252 26 S
6 0 333 1 Graham Mr. George Edward male 38 0 1 PC 17582 153.4625 C91 S
7 0 39 3 Vander Planke Miss. Augusta Maria female 18 2 0 345764 18 S
8 0 236 3 Harknett Miss. Alice Phoebe female NA 0 0 W./C. 6609 7.55 S
9 0 303 3 Johnson Mr. William Cahoone Jr male 19 0 0 LINE 0 S
10 1 18 2 Williams Mr. Charles Eugene male NA 0 0 244373 13 S
11 1 505 1 Maioni Miss. Roberta female 16 0 0 110152 86.5 B79 S
12 1 670 1 Taylor Mrs. Elmer Zebley (Juliet Cummins Wright) female NA 1 0 19996 52 C126 S
13 1 316 3 Nilsson Miss. Helmina Josefina female 26 0 0 347470 7.8542 S
14 1 690 1 Madill Miss. Georgette Alexandra female 15 0 1 24160 211.3375 B5 S
15 1 718 2 Troutt Miss. Edwina Celia "Winnie" female 27 0 0 34218 10.5 E101 S
16 1 580 3 Jussila Mr. Eiriik male 32 0 0 STON/O 2. 3101286 7.925 S
17 0 697 3 Kelly Mr. James male 44 0 0 363592 8.05 S
18 1 193 3 Andersen-Jensen Miss. Carla Christine Nielsine female 19 1 0 350046 7.8542 S
19 0 634 1 Parr Mr. William Henry Marsh male NA 0 0 112052 0 S
20 1 858 1 Daly Mr. Peter Denis male 51 0 0 113055 26.55 E17 S
21 1 329 3 Goldsmith Mrs. Frank John (Emily Alice Brown) female 31 1 1 363291 20.525 S
22 0 784 3 Johnston Mr. Andrew G male NA 1 2 W./C. 6607 23.45 S
23 0 407 3 Widegren Mr. Carl/Charles Peter male 51 0 0 347064 7.75 S
24 0 747 3 Abbott Mr. Rossmore Edward male 16 1 1 C.A. 2673 20.25 S
25 0 492 3 Windelov Mr. Einar male 21 0 0 SOTON/OQ 3101317 7.25 S
26 1 534 3 Peter Mrs. Catherine (Catherine Rizk) female NA 0 2 2668 22.3583 C
27 0 862 2 Giles Mr. Frederick Edward male 21 1 0 28134 11.5 S
28 0 724 2 Hodges Mr. Henry Price male 50 0 0 250643 13 S
29 0 685 2 Brown Mr. Thomas William Solomon male 60 1 1 29750 39 S
30 0 344 2 Sedgwick Mr. Charles Frederick Waddington male 25 0 0 244361 13 S
31 1 751 2 Wells Miss. Joan female 4 1 1 29103 23 S
32 0 734 2 Berriman Mr. William John male 23 0 0 28425 13 S
33 0 496 3 Yousseff Mr. Gerious male NA 0 0 2627 14.4583 C
34 0 296 1 Lewy Mr. Ervin G male NA 0 0 PC 17612 27.7208 C
35 0 516 1 Walker Mr. William Anderson male 47 0 0 36967 34.0208 D46 S
36 0 282 3 Olsson Mr. Nils Johan Goransson male 28 0 0 347464 7.8542 S
37 0 218 2 Jacobsohn Mr. Sidney Samuel male 42 1 0 243847 27 S
38 1 107 3 Salkjelsvik Miss. Anna Kristine female 21 0 0 343120 7.65 S
39 0 878 3 Petroff Mr. Nedelio male 19 0 0 349212 7.8958 S
40 1 291 1 Barber Miss. Ellen "Nellie" female 26 0 0 19877 78.85 S
41 0 722 3 Jensen Mr. Svend Lauritz male 17 1 0 350048 7.0542 S
42 0 826 3 Flynn Mr. John male NA 0 0 368323 6.95 Q
43 0 434 3 Kallio Mr. Nikolai Erland male 17 0 0 STON/O 2. 3101274 7.125 S
44 0 404 3 Hakkarainen Mr. Pekka Pietari male 28 1 0 STON/O2. 3101279 15.85 S
45 1 210 1 Blank Mr. Henry male 40 0 0 112277 31 A31 C
46 1 166 3 Goldsmith Master. Frank John William "Frankie" male 9 0 2 363291 20.525 S
47 0 201 3 Vande Walle Mr. Nestor Cyriel male 28 0 0 345770 9.5 S
48 0 361 3 Skoog Mr. Wilhelm male 40 1 4 347088 27.9 S
49 1 53 1 Harper Mrs. Henry Sleeper (Myna Haxtun) female 49 1 0 PC 17572 76.7292 D33 C
50 0 612 3 Jardin Mr. Jose Neto male NA 0 0 SOTON/O.Q. 3101305 7.05 S
51 0 60 3 Goodwin Master. William Frederick male 11 5 2 CA 2144 46.9 S
52 1 262 3 Asplund Master. Edvin Rojj Felix male 3 4 2 347077 31.3875 S
53 1 674 2 Wilhelms Mr. Charles male 31 0 0 244270 13 S
54 0 63 1 Harris Mr. Henry Birkhardt male 45 1 0 36973 83.475 C83 S
55 0 215 3 Kiernan Mr. Philip male NA 1 0 367229 7.75 Q
56 0 618 3 Lobb Mrs. William Arthur (Cordelia K Stanlick) female 26 1 0 A/5. 3336 16.1 S
57 1 789 3 Dean Master. Bertram Vere male 1 1 2 C.A. 2315 20.575 S
58 1 312 1 Ryerson Miss. Emily Borie female 18 2 2 PC 17608 262.375 B57 B59 B63 B66 C
59 0 113 3 Barton Mr. David John male 22 0 0 324669 8.05 S
60 0 314 3 Hendekovic Mr. Ignjac male 28 0 0 349243 7.8958 S
61 1 517 2 Lemore Mrs. (Amelia Milley) female 34 0 0 C.A. 34260 10.5 F33 S
62 0 174 3 Sivola Mr. Antti Wilhelm male 21 0 0 STON/O 2. 3101280 7.925 S
63 1 803 1 Carter Master. William Thornton II male 11 1 2 113760 120 B96 B98 S
64 0 479 3 Karlsson Mr. Nils August male 22 0 0 350060 7.5208 S
65 1 445 3 Johannesen-Bratthammer Mr. Bernt male NA 0 0 65306 8.1125 S
66 0 684 3 Goodwin Mr. Charles Edward male 14 5 2 CA 2144 46.9 S
67 1 597 2 Leitch Miss. Jessie Wills female NA 0 0 248727 33 S
68 0 229 2 Fahlstrom Mr. Arne Jonas male 18 0 0 236171 13 S
69 0 121 2 Hickman Mr. Stanley George male 21 2 0 S.O.C. 14879 73.5 S
70 0 526 3 Farrell Mr. James male 40.5 0 0 367232 7.75 Q
71 1 360 3 Mockler Miss. Helen Mary "Ellie" female NA 0 0 330980 7.8792 Q
72 1 20 3 Masselmani Mrs. Fatima female NA 0 0 2649 7.225 C
73 0 28 1 Fortune Mr. Charles Alexander male 19 3 2 19950 263 C23 C25 C27 S
74 0 761 3 Garfirth Mr. John male NA 0 0 358585 14.5 S
75 1 487 1 Hoyt Mrs. Frederick Maxfield (Jane Anne Forby) female 35 1 0 19943 90 C93 S
76 0 385 3 Plotcharsky Mr. Vasil male NA 0 0 349227 7.8958 S
77 0 364 3 Asim Mr. Adola male 35 0 0 SOTON/O.Q. 3101310 7.05 S
78 1 124 2 Webber Miss. Susan female 32.5 0 0 27267 13 E101 S
79 0 165 3 Panula Master. Eino Viljami male 1 4 1 3101295 39.6875 S
80 0 668 3 Rommetvedt Mr. Knud Paust male NA 0 0 312993 7.775 S
81 0 596 3 Van Impe Mr. Jean Baptiste male 36 1 1 345773 24.15 S
82 0 845 3 Culumovic Mr. Jeso male 17 0 0 315090 8.6625 S
83 1 510 3 Lang Mr. Fang male 26 0 0 1601 56.4958 S
84 0 135 2 Sobey Mr. Samuel James Hayden male 25 0 0 C.A. 29178 13 S
85 1 196 1 Lurette Miss. Elise female 58 0 0 PC 17569 146.5208 B80 C
86 1 377 3 Landergren Miss. Aurora Adelia female 22 0 0 C 7077 7.25 S
87 1 745 3 Stranden Mr. Juho male 31 0 0 STON/O 2. 3101288 7.925 S
88 0 729 2 Bryhl Mr. Kurt Arnold Gottfrid male 25 1 0 236853 26 S
89 1 661 1 Frauenthal Dr. Henry William male 50 2 0 PC 17611 133.65 S
90 0 437 3 Ford Miss. Doolina Margaret "Daisy" female 21 2 2 W./C. 6608 34.375 S
91 1 9 3 Johnson Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27 0 2 347742 11.1333 S
92 0 835 3 Allum Mr. Owen George male 18 0 0 2223 8.3 S
93 0 794 1 Hoyt Mr. William Fisher male NA 0 0 PC 17600 30.6958 C
94 0 891 3 Dooley Mr. Patrick male 32 0 0 370376 7.75 Q
95 0 851 3 Andersson Master. Sigvard Harald Elias male 4 4 2 347082 31.275 S
96 1 854 1 Lines Miss. Mary Conover female 16 0 1 PC 17592 39.4 D28 S
97 0 552 2 Sharp Mr. Percival James R male 27 0 0 244358 26 S
98 1 671 2 Brown Mrs. Thomas William Solomon (Elizabeth Catherine Ford) female 40 1 1 29750 39 S
99 0 228 3 Lovell Mr. John Hall ("Henry") male 20.5 0 0 A/5 21173 7.25 S
100 1 763 3 Barah Mr. Hanna Assi male 20 0 0 2663 7.2292 C
101 0 591 3 Rintamaki Mr. Matti male 35 0 0 STON/O 2. 3101273 7.125 S
102 0 155 3 Olsen Mr. Ole Martin male NA 0 0 Fa 265302 7.3125 S
103 0 104 3 Johansson Mr. Gustaf Joel male 33 0 0 7540 8.6542 S
104 0 443 3 Petterson Mr. Johan Emil male 25 1 0 347076 7.775 S
105 1 592 1 Stephenson Mrs. Walter Bertram (Martha Eustis) female 52 1 0 36947 78.2667 D20 C
106 0 584 1 Ross Mr. John Hugo male 36 0 0 13049 40.125 A10 C
107 0 277 3 Lindblom Miss. Augusta Charlotta female 45 0 0 347073 7.75 S
108 1 514 1 Rothschild Mrs. Martin (Elizabeth L. Barrett) female 54 1 0 PC 17603 59.4 C
109 1 83 3 McDermott Miss. Brigdet Delia female NA 0 0 330932 7.7875 Q
110 1 856 3 Aks Mrs. Sam (Leah Rosen) female 18 0 1 392091 9.35 S
111 1 390 2 Lehmann Miss. Bertha female 17 0 0 SC 1748 12 C
112 0 579 3 Caram Mrs. Joseph (Maria Elias) female NA 1 0 2689 14.4583 C
113 0 500 3 Svensson Mr. Olof male 24 0 0 350035 7.7958 S
114 0 412 3 Hart Mr. Henry male NA 0 0 394140 6.8583 Q
115 0 687 3 Panula Mr. Jaako Arnold male 14 4 1 3101295 39.6875 S
116 0 73 2 Hood Mr. Ambrose Jr male 21 0 0 S.O.C. 14879 73.5 S
117 0 887 2 Montvila Rev. Juozas male 27 0 0 211536 13 S
118 0 503 3 O'Sullivan Miss. Bridget Mary female NA 0 0 330909 7.6292 Q
119 0 41 3 Ahlin Mrs. Johan (Johanna Persdotter Larsson) female 40 1 0 7546 9.475 S
120 1 654 3 O'Leary Miss. Hanora "Norah" female NA 0 0 330919 7.8292 Q
121 1 484 3 Turkula Mrs. (Hedwig) female 63 0 0 4134 9.5875 S
122 0 426 3 Wiseman Mr. Phillippe male NA 0 0 A/4. 34244 7.25 S
123 1 438 2 Richards Mrs. Sidney (Emily Hocking) female 24 2 3 29106 18.75 S
124 0 625 3 Bowen Mr. David John "Dai" male 21 0 0 54636 16.1 S
125 0 114 3 Jussila Miss. Katriina female 20 1 0 4136 9.825 S
126 0 614 3 Horgan Mr. John male NA 0 0 370377 7.75 Q
127 1 731 1 Allen Miss. Elisabeth Walton female 29 0 0 24160 211.3375 B5 S
128 0 675 2 Watson Mr. Ennis Hastings male NA 0 0 239856 0 S
129 0 712 1 Klaber Mr. Herman male NA 0 0 113028 26.55 C124 S
130 0 657 3 Radeff Mr. Alexander male NA 0 0 349223 7.8958 S
131 0 848 3 Markoff Mr. Marin male 35 0 0 349213 7.8958 C
132 0 809 2 Meyer Mr. August male 39 0 0 248723 13 S
133 1 577 2 Garside Miss. Ethel female 34 0 0 243880 13 S
134 0 343 2 Collander Mr. Erik Gustaf male 28 0 0 248740 13 S
135 0 252 3 Strom Mrs. Wilhelm (Elna Matilda Persson) female 29 1 1 347054 10.4625 G6 S
136 0 518 3 Ryan Mr. Patrick male NA 0 0 371110 24.15 Q
137 0 515 3 Coleff Mr. Satio male 24 0 0 349209 7.4958 S
138 0 327 3 Nysveen Mr. Johan Hansen male 61 0 0 345364 6.2375 S
139 0 144 3 Burke Mr. Jeremiah male 19 0 0 365222 6.75 Q
140 0 629 3 Bostandyeff Mr. Guentcho male 26 0 0 349224 7.8958 S
141 0 469 3 Scanlan Mr. James male NA 0 0 36209 7.725 Q
142 1 199 3 Madigan Miss. Margaret "Maggie" female NA 0 0 370370 7.75 Q
143 1 459 2 Toomey Miss. Ellen female 50 0 0 F.C.C. 13531 10.5 S
144 1 485 1 Bishop Mr. Dickinson H male 25 1 0 11967 91.0792 B49 C
145 1 349 3 Coutts Master. William Loch "William" male 3 1 1 C.A. 37671 15.9 S
146 0 716 3 Soholt Mr. Peter Andreas Lauritz Andersen male 19 0 0 348124 7.65 F G73 S
147 0 742 1 Cavendish Mr. Tyrell William male 36 1 0 19877 78.85 C46 S
148 0 520 3 Pavlovic Mr. Stefo male 32 0 0 349242 7.8958 S
149 1 764 1 Carter Mrs. William Ernest (Lucile Polk) female 36 1 2 113760 120 B96 B98 S
150 0 19 3 Vander Planke Mrs. Julius (Emelia Maria Vandemoortele) female 31 1 0 345763 18 S
151 0 563 2 Norman Mr. Robert Douglas male 28 0 0 218629 13.5 S
152 1 331 3 McCoy Miss. Agnes female NA 2 0 367226 23.25 Q
153 0 251 3 Reed Mr. James George male NA 0 0 362316 7.25 S
154 1 850 1 Goldenberg Mrs. Samuel L (Edwiga Grabowska) female NA 1 0 17453 89.1042 C92 C
155 1 778 3 Emanuel Miss. Virginia Ethel female 5 0 0 364516 12.475 S
156 1 458 1 Kenyon Mrs. Frederick R (Marion) female NA 1 0 17464 51.8625 D21 S
157 0 457 1 Millet Mr. Francis Davis male 65 0 0 13509 26.55 E38 S
158 1 433 2 Louch Mrs. Charles Alexander (Alice Adelaide Slow) female 42 1 0 SC/AH 3085 26 S
159 1 743 1 Ryerson Miss. Susan Parker "Suzette" female 21 2 2 PC 17608 262.375 B57 B59 B63 B66 C
160 1 741 1 Hawksford Mr. Walter James male NA 0 0 16988 30 D45 S
161 1 234 3 Asplund Miss. Lillian Gertrud female 5 4 2 347077 31.3875 S
162 1 57 2 Rugg Miss. Emily female 21 0 0 C.A. 31026 10.5 S
163 0 816 1 Fry Mr. Richard male NA 0 0 112058 0 B102 S
164 1 56 1 Woolner Mr. Hugh male NA 0 0 19947 35.5 C52 S
165 0 169 1 Baumann Mr. John D male NA 0 0 PC 17318 25.925 S
166 0 168 3 Skoog Mrs. William (Anna Bernhardina Karlsson) female 45 1 4 347088 27.9 S
167 0 158 3 Corn Mr. Harry male 30 0 0 SOTON/OQ 392090 8.05 S
168 1 270 1 Bissette Miss. Amelia female 35 0 0 PC 17760 135.6333 C99 S
169 0 243 2 Coleridge Mr. Reginald Charles male 29 0 0 W./C. 14263 10.5 S
170 0 240 2 Hunt Mr. George Henry male 33 0 0 SCO/W 1585 12.275 S
171 0 177 3 Lefebre Master. Henry Forbes male NA 3 1 4133 25.4667 S
172 1 608 1 Daniel Mr. Robert Williams male 27 0 0 113804 30.5 S
173 0 587 2 Jarvis Mr. John Denzil male 47 0 0 237565 15 S
174 1 508 1 Bradley Mr. George ("George Arthur Brayton") male NA 0 0 111427 26.55 S
175 1 648 1 Simonius-Blumer Col. Oberst Alfons male 56 0 0 13213 35.5 A26 C
176 0 255 3 Rosblom Mrs. Viktor (Helena Wilhelmina) female 41 0 2 370129 20.2125 S
177 0 602 3 Slabenoff Mr. Petco male NA 0 0 349214 7.8958 S
178 0 136 2 Richard Mr. Emile male 23 0 0 SC/PARIS 2133 15.0458 C
179 0 464 2 Milling Mr. Jacob Christian male 48 0 0 234360 13 S
180 1 570 3 Jonsson Mr. Carl male 32 0 0 350417 7.8542 S
181 1 126 3 Nicola-Yarred Master. Elias male 12 1 0 2651 11.2417 C
182 1 721 2 Harper Miss. Annie Jessie "Nina" female 6 0 1 248727 33 S
183 0 31 1 Uruchurtu Don. Manuel E male 40 0 0 PC 17601 27.7208 C
184 0 261 3 Smith Mr. Thomas male NA 0 0 384461 7.75 Q
185 0 621 3 Yasbeck Mr. Antoni male 27 1 0 2659 14.4542 C
186 0 838 3 Sirota Mr. Maurice male NA 0 0 392092 8.05 S
187 0 68 3 Crease Mr. Ernest James male 19 0 0 S.P. 3464 8.1583 S
188 1 392 3 Jansson Mr. Carl Olof male 21 0 0 350034 7.7958 S
189 1 450 1 Peuchen Major. Arthur Godfrey male 52 0 0 113786 30.5 C104 S
190 0 873 1 Carlsson Mr. Frans Olof male 33 0 0 695 5 B51 B53 B55 S
191 1 11 3 Sandstrom Miss. Marguerite Rut female 4 1 1 PP 9549 16.7 G6 S
192 1 187 3 O'Brien Mrs. Thomas (Johanna "Hannah" Godfrey) female NA 1 0 370365 15.5 Q
193 0 795 3 Dantcheff Mr. Ristiu male 25 0 0 349203 7.8958 S
194 1 780 1 Robert Mrs. Edward Scott (Elisabeth Walton McMillan) female 43 0 1 24160 211.3375 B3 S
195 0 509 3 Olsen Mr. Henry Margido male 28 0 0 C 4001 22.525 S
196 0 285 1 Smith Mr. Richard William male NA 0 0 113056 26 A19 S
197 0 34 2 Wheadon Mr. Edward H male 66 0 0 C.A. 24579 10.5 S
198 0 172 3 Rice Master. Arthur male 4 4 1 382652 29.125 Q
199 1 447 2 Mellinger Miss. Madeleine Violet female 13 0 1 250644 19.5 S
200 0 537 1 Butt Major. Archibald Willingham male 45 0 0 113050 26.55 B38 S
201 0 386 2 Davies Mr. Charles Henry male 18 0 0 S.O.C. 14879 73.5 S
202 0 410 3 Lefebre Miss. Ida female NA 3 1 4133 25.4667 S
203 1 371 1 Harder Mr. George Achilles male 25 1 0 11765 55.4417 E50 C
204 0 556 1 Wright Mr. George male 62 0 0 113807 26.55 S
205 0 730 3 Ilmakangas Miss. Pieta Sofia female 25 1 0 STON/O2. 3101271 7.925 S
206 0 416 3 Meek Mrs. Thomas (Annie Louise Rowley) female NA 0 0 343095 8.05 S
207 0 77 3 Staneff Mr. Ivan male NA 0 0 349208 7.8958 S
208 0 365 3 O'Brien Mr. Thomas male NA 1 0 370365 15.5 Q
209 0 562 3 Sivic Mr. Husein male 40 0 0 349251 7.8958 S
210 1 287 3 de Mulder Mr. Theodore male 30 0 0 345774 9.5 S
211 0 127 3 McMahon Mr. Martin male NA 0 0 370372 7.75 Q
212 0 64 3 Skoog Master. Harald male 4 3 2 347088 27.9 S
213 1 80 3 Dowdell Miss. Elizabeth female 30 0 0 364516 12.475 S
214 0 879 3 Laleff Mr. Kristo male NA 0 0 349217 7.8958 S
215 0 88 3 Slocovski Mr. Selman Francis male NA 0 0 SOTON/OQ 392086 8.05 S
216 1 191 2 Pinsky Mrs. (Rosa) female 32 0 0 234604 13 S
217 0 860 3 Razi Mr. Raihed male NA 0 0 2629 7.2292 C
218 0 244 3 Maenpaa Mr. Matti Alexanteri male 22 0 0 STON/O 2. 3101275 7.125 S
219 0 74 3 Chronopoulos Mr. Apostolos male 26 1 0 2680 14.4542 C
220 1 268 3 Persson Mr. Ernst Ulrik male 25 1 0 347083 7.775 S
221 0 148 3 Ford Miss. Robina Maggie "Ruby" female 9 2 2 W./C. 6608 34.375 S
222 0 118 2 Turpin Mr. William John Robert male 29 1 0 11668 21 S
223 0 87 3 Ford Mr. William Neal male 16 1 3 W./C. 6608 34.375 S
224 0 814 3 Andersson Miss. Ebba Iris Alfrida female 6 4 2 347082 31.275 S
225 1 10 2 Nasser Mrs. Nicholas (Adele Achem) female 14 1 0 237736 30.0708 C
226 0 120 3 Andersson Miss. Ellis Anna Maria female 2 4 2 347082 31.275 S
227 1 829 3 McCormack Mr. Thomas Joseph male NA 0 0 367228 7.75 Q
228 0 406 2 Gale Mr. Shadrach male 34 1 0 28664 21 S
229 0 419 2 Matthews Mr. William John male 30 0 0 28228 13 S
230 1 299 1 Saalfeld Mr. Adolphe male NA 0 0 19988 30.5 C106 S
231 1 711 1 Mayne Mlle. Berthe Antonine ("Mrs de Villiers") female 24 0 0 PC 17482 49.5042 C90 C
232 1 601 2 Jacobsohn Mrs. Sidney Samuel (Amy Frances Christy) female 24 2 1 243847 27 S
233 0 842 2 Mudd Mr. Thomas Charles male 16 0 0 S.O./P.P. 3 10.5 S
234 0 475 3 Strandberg Miss. Ida Sofia female 22 0 0 7553 9.8375 S
235 0 452 3 Hagland Mr. Ingvald Olai Olsen male NA 1 0 65303 19.9667 S
236 0 313 2 Lahtinen Mrs. William (Anna Sylfven) female 26 1 1 250651 26 S
237 0 593 3 Elsbury Mr. William James male 47 0 0 A/5 3902 7.25 S
238 0 532 3 Toufik Mr. Nakli male NA 0 0 2641 7.2292 C
239 1 29 3 O'Dwyer Miss. Ellen "Nellie" female NA 0 0 330959 7.8792 Q
240 0 820 3 Skoog Master. Karl Thorsten male 10 3 2 347088 27.9 S
241 0 744 3 McNamee Mr. Neal male 24 1 0 376566 16.1 S
242 0 512 3 Webber Mr. James male NA 0 0 SOTON/OQ 3101316 8.05 S
243 1 470 3 Baclini Miss. Helene Barbara female 0.75 2 1 2666 19.2583 C
244 0 206 3 Strom Miss. Telma Matilda female 2 0 1 347054 10.4625 G6 S
245 1 755 2 Herman Mrs. Samuel (Jane Laver) female 48 1 2 220845 65 S
246 1 781 3 Ayoub Miss. Banoura female 13 0 0 2687 7.2292 C
247 1 33 3 Glynn Miss. Mary Agatha female NA 0 0 335677 7.75 Q
248 1 571 2 Harris Mr. George male 62 0 0 S.W./PP 752 10.5 S
249 0 746 1 Crosby Capt. Edward Gifford male 70 1 1 WE/P 5735 71 B22 S
250 0 294 3 Haas Miss. Aloisia female 24 0 0 349236 8.85 S
251 1 208 3 Albimona Mr. Nassef Cassem male 26 0 0 2699 18.7875 C
252 0 154 3 van Billiard Mr. Austin Blyler male 40.5 0 2 A/5. 851 14.5 S
253 0 267 3 Panula Mr. Ernesti Arvid male 16 4 1 3101295 39.6875 S
254 1 317 2 Kantor Mrs. Sinai (Miriam Sternin) female 24 1 0 244367 26 S
255 0 620 2 Gavey Mr. Lawrence male 26 0 0 31028 10.5 S
256 1 559 1 Taussig Mrs. Emil (Tillie Mandelbaum) female 39 1 1 110413 79.65 E67 S
257 1 37 3 Mamee Mr. Hanna male NA 0 0 2677 7.2292 C
258 0 265 3 Henry Miss. Delia female NA 0 0 382649 7.75 Q
259 0 477 2 Renouf Mr. Peter Henry male 34 1 0 31027 21 S
260 1 219 1 Bazzani Miss. Albina female 32 0 0 11813 76.2917 D15 C
261 0 30 3 Todoroff Mr. Lalio male NA 0 0 349216 7.8958 S
262 0 853 3 Boulos Miss. Nourelain female 9 1 1 2678 15.2458 C
263 0 409 3 Birkeland Mr. Hans Martin Monsen male 21 0 0 312992 7.775 S
264 1 328 2 Ball Mrs. (Ada E Hall) female 36 0 0 28551 13 D S
265 0 321 3 Dennis Mr. Samuel male 22 0 0 A/5 21172 7.25 S
266 1 22 2 Beesley Mr. Lawrence male 34 0 0 248698 13 D56 S
267 1 110 3 Moran Miss. Bertha female NA 1 0 371110 24.15 Q
268 1 490 3 Coutts Master. Eden Leslie "Neville" male 9 1 1 C.A. 37671 15.9 S
269 0 315 2 Hart Mr. Benjamin male 43 1 1 F.C.C. 13529 26.25 S
270 1 162 2 Watt Mrs. James (Elizabeth "Bessie" Inglis Milne) female 40 0 0 C.A. 33595 15.75 S
271 0 736 3 Williams Mr. Leslie male 28.5 0 0 54636 16.1 S
272 0 543 3 Andersson Miss. Sigrid Elisabeth female 11 4 2 347082 31.275 S
273 1 3 3 Heikkinen Miss. Laina female 26 0 0 STON/O2. 3101282 7.925 S
274 0 767 1 Brewe Dr. Arthur Jackson male NA 0 0 112379 39.6 C
275 0 533 3 Elias Mr. Joseph Jr male 17 1 1 2690 7.2292 C
276 0 598 3 Johnson Mr. Alfred male 49 0 0 LINE 0 S
277 0 667 2 Butler Mr. Reginald Fenton male 25 0 0 234686 13 S
278 1 335 1 Frauenthal Mrs. Henry William (Clara Heinsheimer) female NA 1 0 PC 17611 133.65 S
279 0 585 3 Paulner Mr. Uscher male NA 0 0 3411 8.7125 C
280 0 27 3 Emir Mr. Farred Chehab male NA 0 0 2631 7.225 C
281 0 564 3 Simmons Mr. John male NA 0 0 SOTON/OQ 392082 8.05 S
282 0 117 3 Connors Mr. Patrick male 70.5 0 0 370369 7.75 Q
283 0 834 3 Augustsson Mr. Albert male 23 0 0 347468 7.8542 S
284 1 461 1 Anderson Mr. Harry male 48 0 0 19952 26.55 E12 S
285 1 395 3 Sandstrom Mrs. Hjalmar (Agnes Charlotta Bengtsson) female 24 0 2 PP 9549 16.7 G6 S
286 1 82 3 Sheerlinck Mr. Jan Baptist male 29 0 0 345779 9.5 S
287 1 2 1 Cumings Mrs. John Bradley (Florence Briggs Thayer) female 38 1 0 PC 17599 71.2833 C85 C
288 0 130 3 Ekstrom Mr. Johan male 45 0 0 347061 6.975 S
289 0 566 3 Davies Mr. Alfred J male 24 2 0 A/4 48871 24.15 S
290 1 480 3 Hirvonen Miss. Hildur E female 2 0 1 3101298 12.2875 S
291 1 456 3 Jalsevac Mr. Ivan male 29 0 0 349240 7.8958 C
292 0 528 1 Farthing Mr. John male NA 0 0 PC 17483 221.7792 C95 S
293 0 72 3 Goodwin Miss. Lillian Amy female 16 5 2 CA 2144 46.9 S
294 1 308 1 Penasco y Castellana Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo) female 17 1 0 PC 17758 108.9 C65 C
295 1 129 3 Peter Miss. Anna female NA 1 1 2668 22.3583 F E69 C
296 1 550 2 Davies Master. John Morgan Jr male 8 1 1 C.A. 33112 36.75 S
297 0 773 2 Mack Mrs. (Mary) female 57 0 0 S.O./P.P. 3 10.5 E77 S
298 1 347 2 Smith Miss. Marion Elsie female 40 0 0 31418 13 S
299 0 131 3 Drazenoic Mr. Jozef male 33 0 0 349241 7.8958 C
300 0 373 3 Beavan Mr. William Thomas male 19 0 0 323951 8.05 S
301 1 339 3 Dahl Mr. Karl Edwart male 45 0 0 7598 8.05 S
302 0 241 3 Zabour Miss. Thamine female NA 1 0 2665 14.4542 C
303 1 227 2 Mellors Mr. William John male 19 0 0 SW/PP 751 10.5 S
304 1 221 3 Sunderland Mr. Victor Francis male 16 0 0 SOTON/OQ 392089 8.05 S
305 0 350 3 Dimic Mr. Jovan male 42 0 0 315088 8.6625 S
306 0 164 3 Calic Mr. Jovo male 17 0 0 315093 8.6625 S
307 1 75 3 Bing Mr. Lee male 32 0 0 1601 56.4958 S
308 0 785 3 Ali Mr. William male 25 0 0 SOTON/O.Q. 3101312 7.05 S
309 1 560 3 de Messemaeker Mrs. Guillaume Joseph (Emma) female 36 1 0 345572 17.4 S
310 1 69 3 Andersson Miss. Erna Alexandra female 17 4 2 3101281 7.925 S
311 0 13 3 Saundercock Mr. William Henry male 20 0 0 A/5. 2151 8.05 S
312 1 519 2 Angle Mrs. William A (Florence "Mary" Agnes Hughes) female 36 1 0 226875 26 S
313 0 115 3 Attalah Miss. Malake female 17 0 0 2627 14.4583 C
314 0 565 3 Meanwell Miss. (Marion Ogden) female NA 0 0 SOTON/O.Q. 392087 8.05 S
315 0 659 2 Eitemiller Mr. George Floyd male 23 0 0 29751 13 S
316 1 185 3 Kink-Heilmann Miss. Luise Gretchen female 4 0 2 315153 22.025 S
317 0 375 3 Palsson Miss. Stina Viola female 3 3 1 349909 21.075 S
318 0 232 3 Larsson Mr. Bengt Edvin male 29 0 0 347067 7.775 S
319 1 248 2 Hamalainen Mrs. William (Anna) female 24 0 2 250649 14.5 S
320 0 421 3 Gheorgheff Mr. Stanio male NA 0 0 349254 7.8958 C
321 1 394 1 Newell Miss. Marjorie female 23 1 0 35273 113.275 D36 C
322 1 616 2 Herman Miss. Alice female 24 1 2 220845 65 S
323 0 149 2 Navratil Mr. Michel ("Louis M Hoffman") male 36.5 0 2 230080 26 F2 S
324 1 292 1 Bishop Mrs. Dickinson H (Helen Walton) female 19 1 0 11967 91.0792 B49 C
325 0 374 1 Ringhini Mr. Sante male 22 0 0 PC 17760 135.6333 C
326 1 623 3 Nakid Mr. Sahid male 20 1 1 2653 15.7417 C
327 0 759 3 Theobald Mr. Thomas Leonard male 34 0 0 363294 8.05 S
328 1 48 3 O'Driscoll Miss. Bridget female NA 0 0 14311 7.75 Q
329 0 224 3 Nenkoff Mr. Christo male NA 0 0 349234 7.8958 S
330 1 302 3 McCoy Mr. Bernard male NA 2 0 367226 23.25 Q
331 0 183 3 Asplund Master. Clarence Gustaf Hugo male 9 4 2 347077 31.3875 S
332 1 678 3 Turja Miss. Anna Sofia female 18 0 0 4138 9.8417 S
333 0 663 1 Colley Mr. Edward Pomeroy male 47 0 0 5727 25.5875 E58 S
334 0 488 1 Kent Mr. Edward Austin male 58 0 0 11771 29.7 B37 C
335 0 379 3 Betros Mr. Tannous male 20 0 0 2648 4.0125 C
336 0 776 3 Myhrman Mr. Pehr Fabian Oliver Malkolm male 18 0 0 347078 7.75 S
337 1 357 1 Bowerman Miss. Elsie Edith female 22 0 1 113505 55 E33 S
338 1 454 1 Goldenberg Mr. Samuel L male 49 1 0 17453 89.1042 C92 C
339 0 52 3 Nosworthy Mr. Richard Cater male 21 0 0 A/4. 39886 7.8 S
340 0 640 3 Thorneycroft Mr. Percival male NA 1 0 376564 16.1 S
341 0 325 3 Sage Mr. George John Jr male NA 8 2 CA. 2343 69.55 S
342 1 541 1 Crosby Miss. Harriet R female 36 0 2 WE/P 5735 71 B22 S
343 0 442 3 Hampe Mr. Leon male 20 0 0 345769 9.5 S
344 0 363 3 Barbara Mrs. (Catherine David) female 45 0 1 2691 14.4542 C
345 0 334 3 Vander Planke Mr. Leo Edmondus male 16 2 0 345764 18 S
346 1 797 1 Leader Dr. Alice (Farnham) female 49 0 0 17465 25.9292 D17 S
347 0 159 3 Smiljanic Mr. Mile male NA 0 0 315037 8.6625 S
348 0 226 3 Berglund Mr. Karl Ivar Sven male 22 0 0 PP 4348 9.35 S
349 0 669 3 Cook Mr. Jacob male 43 0 0 A/5 3536 8.05 S
350 1 636 2 Davis Miss. Mary female 28 0 0 237668 13 S
351 1 341 2 Navratil Master. Edmond Roger male 2 1 1 230080 26 F2 S
352 1 306 1 Allison Master. Hudson Trevor male 0.92 1 2 113781 151.55 C22 C26 S
353 0 106 3 Mionoff Mr. Stoytcho male 28 0 0 349207 7.8958 S
354 0 253 1 Stead Mr. William Thomas male 62 0 0 113514 26.55 C87 S
355 0 139 3 Osen Mr. Olaf Elon male 16 0 0 7534 9.2167 S
356 0 133 3 Robins Mrs. Alexander A (Grace Charity Laury) female 47 1 0 A/5. 3337 14.5 S
357 1 652 2 Doling Miss. Elsie female 18 0 1 231919 23 S
358 0 414 2 Cunningham Mr. Alfred Fleming male NA 0 0 239853 0 S
359 0 811 3 Alexander Mr. William male 26 0 0 3474 7.8875 S
360 1 551 1 Thayer Mr. John Borland Jr male 17 0 2 17421 110.8833 C70 C
361 0 378 1 Widener Mr. Harry Elkins male 27 0 2 113503 211.5 C82 C
362 1 578 1 Silvey Mrs. William Baird (Alice Munger) female 39 1 0 13507 55.9 E44 S
363 0 279 3 Rice Master. Eric male 7 4 1 382652 29.125 Q
364 0 493 1 Molson Mr. Harry Markland male 55 0 0 113787 30.5 C30 S
365 0 286 3 Stankovic Mr. Ivan male 33 0 0 349239 8.6625 C
366 0 123 2 Nasser Mr. Nicholas male 32.5 1 0 237736 30.0708 C
367 0 175 1 Smith Mr. James Clinch male 56 0 0 17764 30.6958 A7 C
368 1 391 1 Carter Mr. William Ernest male 36 1 2 113760 120 B96 B98 S
369 1 511 3 Daly Mr. Eugene Patrick male 29 0 0 382651 7.75 Q
370 1 802 2 Collyer Mrs. Harvey (Charlotte Annie Tate) female 31 1 1 C.A. 31921 26.25 S
371 1 346 2 Brown Miss. Amelia "Mildred" female 24 0 0 248733 13 F33 S
372 1 142 3 Nysten Miss. Anna Sofia female 22 0 0 347081 7.75 S
373 0 568 3 Palsson Mrs. Nils (Alma Cornelia Berglund) female 29 0 4 349909 21.075 S
374 0 817 3 Heininen Miss. Wendla Maria female 23 0 0 STON/O2. 3101290 7.925 S
375 0 847 3 Sage Mr. Douglas Bullen male NA 8 2 CA. 2343 69.55 S
376 1 417 2 Drew Mrs. James Vivian (Lulu Thorne Christian) female 34 1 1 28220 32.5 S
377 1 766 1 Hogeboom Mrs. John C (Anna Andrews) female 51 1 0 13502 77.9583 D11 S
378 1 408 2 Richards Master. William Rowe male 3 1 1 29106 18.75 S
379 0 103 1 White Mr. Richard Frasar male 21 0 1 35281 77.2875 D26 S
380 0 266 2 Reeves Mr. David male 36 0 0 C.A. 17248 10.5 S
381 0 737 3 Ford Mrs. Edward (Margaret Ann Watson) female 48 1 3 W./C. 6608 34.375 S
382 1 26 3 Asplund Mrs. Carl Oscar (Selma Augusta Emilia Johansson) female 38 1 5 347077 31.3875 S
383 0 679 3 Goodwin Mrs. Frederick (Augusta Tyler) female 43 1 6 CA 2144 46.9 S
384 0 774 3 Elias Mr. Dibo male NA 0 0 2674 7.225 C
385 1 538 1 LeRoy Miss. Bertha female 30 0 0 PC 17761 106.425 C
386 0 198 3 Olsen Mr. Karl Siegwart Andreas male 42 0 1 4579 8.4042 S
387 0 818 2 Mallet Mr. Albert male 31 1 1 S.C./PARIS 2079 37.0042 C
388 1 143 3 Hakkarainen Mrs. Pekka Pietari (Elin Matilda Dolck) female 24 1 0 STON/O2. 3101279 15.85 S
389 1 782 1 Dick Mrs. Albert Adrian (Vera Gillespie) female 17 1 0 17474 57 B20 S
390 0 51 3 Panula Master. Juha Niilo male 7 4 1 3101295 39.6875 S
391 1 12 1 Bonnell Miss. Elizabeth female 58 0 0 113783 26.55 C103 S
392 0 595 2 Chapman Mr. John Henry male 37 1 0 SC/AH 29037 26 S
393 1 513 1 McGough Mr. James Robert male 36 0 0 PC 17473 26.2875 E25 S
394 1 610 1 Shutes Miss. Elizabeth W female 40 0 0 PC 17582 153.4625 C125 S
395 1 304 2 Keane Miss. Nora A female NA 0 0 226593 12.35 E101 Q
396 1 323 2 Slayter Miss. Hilda Mary female 30 0 0 234818 12.35 Q
397 1 280 3 Abbott Mrs. Stanton (Rosa Hunt) female 35 1 1 C.A. 2673 20.25 S
398 0 397 3 Olsson Miss. Elina female 31 0 0 350407 7.8542 S
399 0 886 3 Rice Mrs. William (Margaret Norton) female 39 0 5 382652 29.125 Q
400 1 682 1 Hassab Mr. Hammad male 27 0 0 PC 17572 76.7292 D49 C
401 0 38 3 Cann Mr. Ernest Charles male 21 0 0 A./5. 2152 8.05 S
402 0 696 2 Chapman Mr. Charles Henry male 52 0 0 248731 13.5 S
403 1 231 1 Harris Mrs. Henry Birkhardt (Irene Wallach) female 35 1 0 36973 83.475 C83 S
404 0 681 3 Peters Miss. Katie female NA 0 0 330935 8.1375 Q
405 1 310 1 Francatelli Miss. Laura Mabel female 30 0 0 PC 17485 56.9292 E36 C
406 1 348 3 Davison Mrs. Thomas Henry (Mary E Finck) female NA 1 0 386525 16.1 S
407 0 758 2 Bailey Mr. Percy Andrew male 18 0 0 29108 11.5 S
408 1 633 1 Stahelin-Maeglin Dr. Max male 32 0 0 13214 30.5 B50 C
409 0 793 3 Sage Miss. Stella Anna female NA 8 2 CA. 2343 69.55 S
410 1 605 1 Homer Mr. Harry ("Mr E Haven") male 35 0 0 111426 26.55 C
411 0 491 3 Hagland Mr. Konrad Mathias Reiersen male NA 1 0 65304 19.9667 S
412 1 613 3 Murphy Miss. Margaret Jane female NA 1 0 367230 15.5 Q
413 1 16 2 Hewlett Mrs. (Mary D Kingcome) female 55 0 0 248706 16 S
414 0 288 3 Naidenoff Mr. Penko male 22 0 0 349206 7.8958 S
415 1 619 2 Becker Miss. Marion Louise female 4 2 1 230136 39 F4 S
416 1 59 2 West Miss. Constance Mirium female 5 1 2 C.A. 34651 27.75 S
417 1 276 1 Andrews Miss. Kornelia Theodosia female 63 1 0 13502 77.9583 D7 S
418 0 750 3 Connaghton Mr. Michael male 31 0 0 335097 7.75 Q
419 0 733 2 Knight Mr. Robert J male NA 0 0 239855 0 S
420 0 471 3 Keefe Mr. Arthur male NA 0 0 323592 7.25 S
421 0 247 3 Lindahl Miss. Agda Thorilda Viktoria female 25 0 0 347071 7.775 S
422 1 205 3 Cohen Mr. Gurshon "Gus" male 18 0 0 A/5 3540 8.05 S
423 1 98 1 Greenfield Mr. William Bertram male 23 0 1 PC 17759 63.3583 D10 D12 C
424 0 318 2 Moraweck Dr. Ernest male 54 0 0 29011 14 S
425 0 91 3 Christmann Mr. Emil male 29 0 0 343276 8.05 S
426 0 783 1 Long Mr. Milton Clyde male 29 0 0 113501 30 D6 S
427 0 76 3 Moen Mr. Sigurd Hansen male 25 0 0 348123 7.65 F G73 S
428 0 506 1 Penasco y Castellana Mr. Victor de Satode male 18 1 0 PC 17758 108.9 C65 C
429 0 43 3 Kraeff Mr. Theodor male NA 0 0 349253 7.8958 C
430 1 867 2 Duran y More Miss. Asuncion female 27 1 0 SC/PARIS 2149 13.8583 C
431 0 606 3 Lindell Mr. Edvard Bengtsson male 36 1 0 349910 15.55 S
432 1 62 1 Icard Miss. Amelie female 38 0 0 113572 80 B28
433 1 134 2 Weisz Mrs. Leopold (Mathilde Francoise Pede) female 29 1 0 228414 26 S
434 0 762 3 Nirva Mr. Iisakki Antino Aijo male 41 0 0 SOTON/O2 3101272 7.125 S
435 1 195 1 Brown Mrs. James Joseph (Margaret Tobin) female 44 0 0 PC 17610 27.7208 B4 C
436 0 720 3 Johnson Mr. Malkolm Joackim male 33 0 0 347062 7.775 S
437 0 583 2 Downton Mr. William James male 54 0 0 28403 26 S
438 0 483 3 Rouse Mr. Richard Henry male 50 0 0 A/5 3594 8.05 S
439 0 396 3 Johansson Mr. Erik male 22 0 0 350052 7.7958 S
440 0 100 2 Kantor Mr. Sinai male 34 1 0 244367 26 S
441 0 772 3 Jensen Mr. Niels Peder male 48 0 0 350047 7.8542 S
442 0 81 3 Waelens Mr. Achille male 22 0 0 345767 9 S
443 1 188 1 Romaine Mr. Charles Hallace ("Mr C Rolmane") male 45 0 0 111428 26.55 S
444 0 576 3 Patchett Mr. George male 19 0 0 358585 14.5 S
445 1 324 2 Caldwell Mrs. Albert Francis (Sylvia Mae Harbaugh) female 22 1 1 248738 29 S
446 1 427 2 Clarke Mrs. Charles V (Ada Maria Winfield) female 28 1 0 2003 26 S
447 1 586 1 Taussig Miss. Ruth female 18 0 2 110413 79.65 E68 S
448 1 557 1 Duff Gordon Lady. (Lucille Christiana Sutherland) ("Mrs Morgan") female 48 1 0 11755 39.6 A16 C
449 1 572 1 Appleton Mrs. Edward Dale (Charlotte Lamson) female 53 2 0 11769 51.4792 C101 S
450 0 96 3 Shorney Mr. Charles Joseph male NA 0 0 374910 8.05 S
451 1 713 1 Taylor Mr. Elmer Zebley male 48 1 0 19996 52 C126 S
452 0 141 3 Boulos Mrs. Joseph (Sultana) female NA 0 2 2678 15.2458 C
453 0 55 1 Ostby Mr. Engelhart Cornelius male 65 0 1 113509 61.9792 B30 C
454 1 368 3 Moussa Mrs. (Mantoura Boulos) female NA 0 0 2626 7.2292 C
455 0 387 3 Goodwin Master. Sidney Leonard male 1 5 2 CA 2144 46.9 S
456 1 376 1 Meyer Mrs. Edgar Joseph (Leila Saks) female NA 1 0 PC 17604 82.1708 C
457 1 194 2 Navratil Master. Michel M male 3 1 1 230080 26 F2 S
458 0 643 3 Skoog Miss. Margit Elizabeth female 2 3 2 347088 27.9 S
459 1 44 2 Laroche Miss. Simonne Marie Anne Andree female 3 1 2 SC/Paris 2123 41.5792 C
460 1 40 3 Nicola-Yarred Miss. Jamila female 14 1 0 2651 11.2417 C
461 1 588 1 Frolicher-Stehli Mr. Maxmillian male 60 1 1 13567 79.2 B41 C
462 0 380 3 Gustafsson Mr. Karl Gideon male 19 0 0 347069 7.775 S
463 0 423 3 Zimmerman Mr. Leo male 29 0 0 315082 7.875 S
464 1 600 1 Duff Gordon Sir. Cosmo Edmund ("Mr Morgan") male 49 1 0 PC 17485 56.9292 A20 C
465 0 542 3 Andersson Miss. Ingeborg Constanzia female 9 4 2 347082 31.275 S
466 0 535 3 Cacic Miss. Marija female 30 0 0 315084 8.6625 S
467 1 804 3 Thomas Master. Assad Alexander male 0.42 0 1 2625 8.5167 C
468 1 866 2 Bystrom Mrs. (Karolina) female 42 0 0 236852 13 S
469 0 504 3 Laitinen Miss. Kristina Sofia female 37 0 0 4135 9.5875 S
470 0 647 3 Cor Mr. Liudevit male 19 0 0 349231 7.8958 S
471 0 749 1 Marvin Mr. Daniel Warner male 19 1 0 113773 53.1 D30 S
472 1 821 1 Hays Mrs. Charles Melville (Clara Jennings Gregg) female 52 1 1 12749 93.5 B69 S
473 1 787 3 Sjoblom Miss. Anna Sofia female 18 0 0 3101265 7.4958 S
474 1 184 2 Becker Master. Richard F male 1 2 1 230136 39 F4 S
475 0 852 3 Svensson Mr. Johan male 74 0 0 347060 7.775 S
476 0 558 1 Robbins Mr. Victor male NA 0 0 PC 17757 227.525 C
477 0 163 3 Bengtsson Mr. John Viktor male 26 0 0 347068 7.775 S
478 0 455 3 Peduzzi Mr. Joseph male NA 0 0 A/5 2817 8.05 S
479 0 220 2 Harris Mr. Walter male 30 0 0 W/C 14208 10.5 S
480 0 245 3 Attalah Mr. Sleiman male 30 0 0 2694 7.225 C
481 0 422 3 Charters Mr. David male 21 0 0 A/5. 13032 7.7333 Q
482 0 884 2 Banfield Mr. Frederick James male 28 0 0 C.A./SOTON 34068 10.5 S
483 0 453 1 Foreman Mr. Benjamin Laventall male 30 0 0 113051 27.75 C111 C
484 0 841 3 Alhomaki Mr. Ilmari Rudolf male 20 0 0 SOTON/O2 3101287 7.925 S
485 0 264 1 Harrison Mr. William male 40 0 0 112059 0 B94 S
486 1 381 1 Bidois Miss. Rosalie female 42 0 0 PC 17757 227.525 C
487 1 24 1 Sloper Mr. William Thompson male 28 0 0 113788 35.5 A6 S
488 1 708 1 Calderhead Mr. Edward Pennington male 42 0 0 PC 17476 26.2875 E24 S
489 0 15 3 Vestrom Miss. Hulda Amanda Adolfina female 14 0 0 350406 7.8542 S
490 0 703 3 Barbara Miss. Saiide female 18 0 1 2691 14.4542 C
491 0 549 3 Goldsmith Mr. Frank John male 33 1 1 363291 20.525 S
492 1 54 2 Faunthorpe Mrs. Lizzie (Elizabeth Anne Wilkinson) female 29 1 0 2926 26 S
493 0 495 3 Stanley Mr. Edward Roland male 21 0 0 A/4 45380 8.05 S
494 0 686 2 Laroche Mr. Joseph Philippe Lemercier male 25 1 2 SC/Paris 2123 41.5792 C
495 0 116 3 Pekoniemi Mr. Edvard male 21 0 0 STON/O 2. 3101294 7.925 S
496 0 105 3 Gustafsson Mr. Anders Vilhelm male 37 2 0 3101276 7.925 S
497 1 738 1 Lesurer Mr. Gustave J male 35 0 0 PC 17755 512.3292 B101 C
498 1 798 3 Osman Mrs. Mara female 31 0 0 349244 8.6833 S
499 0 615 3 Brocklebank Mr. William Alfred male 35 0 0 364512 8.05 S
500 0 815 3 Tomlin Mr. Ernest Portage male 30.5 0 0 364499 8.05 S
501 0 161 3 Cribb Mr. John Hatfield male 44 0 1 371362 16.1 S
502 1 863 1 Swift Mrs. Frederick Joel (Margaret Welles Barron) female 48 0 0 17466 25.9292 D17 S
503 1 574 3 Kelly Miss. Mary female NA 0 0 14312 7.75 Q
504 0 498 3 Shellard Mr. Frederick William male NA 0 0 C.A. 6212 15.1 S
505 0 58 3 Novel Mr. Mansouer male 28.5 0 0 2697 7.2292 C
506 0 237 2 Hold Mr. Stephen male 44 1 0 26707 26 S
507 0 882 3 Markun Mr. Johann male 33 0 0 349257 7.8958 S
508 0 788 3 Rice Master. George Hugh male 8 4 1 382652 29.125 Q
509 1 693 3 Lam Mr. Ali male NA 0 0 1601 56.4958 S
510 0 673 2 Mitchell Mr. Henry Michael male 70 0 0 C.A. 24580 10.5 S
511 0 478 3 Braund Mr. Lewis Richard male 29 1 0 3460 7.0458 S
512 0 322 3 Danoff Mr. Yoto male 27 0 0 349219 7.8958 S
513 0 800 3 Van Impe Mrs. Jean Baptiste (Rosalie Paula Govaert) female 30 1 1 345773 24.15 S
514 0 739 3 Ivanoff Mr. Kanio male NA 0 0 349201 7.8958 S
515 0 1 3 Braund Mr. Owen Harris male 22 1 0 A/5 21171 7.25 S
516 0 883 3 Dahlberg Miss. Gerda Ulrika female 22 0 0 7552 10.5167 S
517 0 546 1 Nicholson Mr. Arthur Ernest male 64 0 0 693 26 S
518 1 756 2 Hamalainen Master. Viljo male 0.67 1 1 250649 14.5 S
519 0 501 3 Calic Mr. Petar male 17 0 0 315086 8.6625 S
520 0 35 1 Meyer Mr. Edgar Joseph male 28 1 0 PC 17604 82.1708 C
521 0 156 1 Williams Mr. Charles Duane male 51 0 1 PC 17597 61.3792 C
522 1 212 2 Cameron Miss. Clear Annie female 35 0 0 F.C.C. 13528 21 S
523 0 704 3 Gallagher Mr. Martin male 25 0 0 36864 7.7417 Q
524 0 877 3 Gustafsson Mr. Alfred Ossian male 20 0 0 7534 9.8458 S
525 0 719 3 McEvoy Mr. Michael male NA 0 0 36568 15.5 Q
526 1 474 2 Jerwan Mrs. Amin S (Marie Marthe Thuillard) female 23 0 0 SC/AH Basle 541 13.7917 D C
527 1 870 3 Johnson Master. Harold Theodor male 4 1 1 347742 11.1333 S
528 0 71 2 Jenkin Mr. Stephen Curnow male 32 0 0 C.A. 33111 10.5 S
529 0 353 3 Elias Mr. Tannous male 15 1 1 2695 7.2292 C
530 1 301 3 Kelly Miss. Anna Katherine "Annie Kate" female NA 0 0 9234 7.75 Q
531 0 489 3 Somerton Mr. Francis William male 30 0 0 A.5. 18509 8.05 S
532 0 627 2 Kirkland Rev. Charles Leonard male 57 0 0 219533 12.35 Q
533 0 522 3 Vovk Mr. Janko male 22 0 0 349252 7.8958 S
534 1 527 2 Ridsdale Miss. Lucy female 50 0 0 W./C. 14258 10.5 S
535 0 638 2 Collyer Mr. Harvey male 31 1 1 C.A. 31921 26.25 S
536 0 340 1 Blackwell Mr. Stephen Weart male 45 0 0 113784 35.5 T S
537 1 830 1 Stone Mrs. George Nelson (Martha Evelyn) female 62 0 0 113572 80 B28
538 0 525 3 Kassem Mr. Fared male NA 0 0 2700 7.2292 C
539 0 111 1 Porter Mr. Walter Chamberlain male 47 0 0 110465 52 C110 S
540 0 796 2 Otter Mr. Richard male 39 0 0 28213 13 S
541 0 140 1 Giglio Mr. Victor male 24 0 0 PC 17593 79.2 B86 C
542 0 844 3 Lemberopolous Mr. Peter L male 34.5 0 0 2683 6.4375 C
543 0 92 3 Andreasson Mr. Paul Edvin male 20 0 0 347466 7.8542 S
544 0 770 3 Gronnestad Mr. Daniel Danielsen male 32 0 0 8471 8.3625 S
545 0 715 2 Greenberg Mr. Samuel male 52 0 0 250647 13 S
546 0 849 2 Harper Rev. John male 28 0 1 248727 33 S
547 0 864 3 Sage Miss. Dorothy Edith "Dolly" female NA 8 2 CA. 2343 69.55 S
548 0 305 3 Williams Mr. Howard Hugh "Harry" male NA 0 0 A/5 2466 8.05 S
549 1 709 1 Cleaver Miss. Alice female 22 0 0 113781 151.55 S
550 1 449 3 Baclini Miss. Marie Catherine female 5 2 1 2666 19.2583 C
551 1 216 1 Newell Miss. Madeleine female 31 1 0 35273 113.275 D36 C
552 1 430 3 Pickard Mr. Berk (Berk Trembisky) male 32 0 0 SOTON/O.Q. 392078 8.05 E10 S
553 0 203 3 Johanson Mr. Jakob Alfred male 34 0 0 3101264 6.4958 S
554 1 284 3 Dorking Mr. Edward Arthur male 19 0 0 A/5. 10482 8.05 S
555 1 822 3 Lulic Mr. Nikola male 27 0 0 315098 8.6625 S
556 0 792 2 Gaskell Mr. Alfred male 16 0 0 239865 26 S
557 1 370 1 Aubart Mme. Leontine Pauline female 24 0 0 PC 17477 69.3 B35 C
558 0 233 2 Sjostedt Mr. Ernst Adolf male 59 0 0 237442 13.5 S
559 0 25 3 Palsson Miss. Torborg Danira female 8 3 1 349909 21.075 S
560 0 653 3 Kalvik Mr. Johannes Halvorsen male 21 0 0 8475 8.4333 S
561 1 289 2 Hosono Mr. Masabumi male 42 0 0 237798 13 S
562 1 473 2 West Mrs. Edwy Arthur (Ada Mary Worth) female 33 1 2 C.A. 34651 27.75 S
563 0 523 3 Lahoud Mr. Sarkis male NA 0 0 2624 7.225 C
564 0 6 3 Moran Mr. James male NA 0 0 330877 8.4583 Q
565 0 153 3 Meo Mr. Alfonzo male 55.5 0 0 A.5. 11206 8.05 S
566 1 260 2 Parrish Mrs. (Lutie Davis) female 50 0 1 230433 26 S
567 0 672 1 Davidson Mr. Thornton male 31 1 0 F.C. 12750 52 B71 S
568 0 868 1 Roebling Mr. Washington Augustus II male 31 0 0 PC 17590 50.4958 A24 S
569 0 17 3 Rice Master. Eugene male 2 4 1 382652 29.125 Q
570 1 147 3 Andersson Mr. August Edvard ("Wennerstrom") male 27 0 0 350043 7.7958 S
571 1 581 2 Christy Miss. Julie Rachel female 25 1 1 237789 30 S
572 0 732 3 Hassan Mr. Houssein G N male 11 0 0 2699 18.7875 C
573 0 356 3 Vanden Steen Mr. Leo Peter male 28 0 0 345783 9.5 S
574 0 372 3 Wiklund Mr. Jakob Alfred male 18 1 0 3101267 6.4958 S
575 0 94 3 Dean Mr. Bertram Frank male 26 1 2 C.A. 2315 20.575 S
576 0 791 3 Keane Mr. Andrew "Andy" male NA 0 0 12460 7.75 Q
577 1 167 1 Chibnall Mrs. (Edith Martha Bowerman) female NA 0 1 113505 55 E33 S
578 0 297 3 Hanna Mr. Mansour male 23.5 0 0 2693 7.2292 C
579 0 632 3 Lundahl Mr. Johan Svensson male 51 0 0 347743 7.0542 S
580 0 801 2 Ponesell Mr. Martin male 34 0 0 250647 13 S
581 0 569 3 Doharr Mr. Tannous male NA 0 0 2686 7.2292 C
582 0 664 3 Coleff Mr. Peju male 36 0 0 349210 7.4958 S
583 1 330 1 Hippach Miss. Jean Gertrude female 16 0 1 111361 57.9792 B18 C
584 1 642 1 Sagesser Mlle. Emma female 24 0 0 PC 17477 69.3 B35 C
585 0 398 2 McKane Mr. Peter David male 46 0 0 28403 26 S
586 0 700 3 Humblen Mr. Adolf Mathias Nicolai Olsen male 42 0 0 348121 7.65 F G63 S
587 0 78 3 Moutal Mr. Rahamin Haim male NA 0 0 374746 8.05 S
588 0 699 1 Thayer Mr. John Borland male 49 1 1 17421 110.8833 C68 C
589 1 428 2 Phillips Miss. Kate Florence ("Mrs Kate Louise Phillips Marshall") female 19 0 0 250655 26 S
590 0 70 3 Kink Mr. Vincenz male 26 2 0 315151 8.6625 S
591 0 846 3 Abbing Mr. Anthony male 42 0 0 C.A. 5547 7.55 S
592 0 768 3 Mangan Miss. Mary female 30.5 0 0 364850 7.75 Q
593 1 646 1 Harper Mr. Henry Sleeper male 48 1 0 PC 17572 76.7292 D33 C
594 1 497 1 Eustis Miss. Elizabeth Mussey female 54 1 0 36947 78.2667 D20 C
595 0 617 3 Danbom Mr. Ernst Gilbert male 34 1 1 347080 14.4 S
596 0 181 3 Sage Miss. Constance Gladys female NA 8 2 CA. 2343 69.55 S
597 0 65 1 Stewart Mr. Albert A male NA 0 0 PC 17605 27.7208 C
598 0 779 3 Kilgannon Mr. Thomas J male NA 0 0 36865 7.7375 Q
599 1 342 1 Fortune Miss. Alice Elizabeth female 24 3 2 19950 263 C23 C25 C27 S
600 0 553 3 O'Brien Mr. Timothy male NA 0 0 330979 7.8292 Q
601 0 207 3 Backstrom Mr. Karl Alfred male 32 1 0 3101278 15.85 S
602 1 319 1 Wick Miss. Mary Natalie female 31 0 2 36928 164.8667 C7 S
603 0 358 2 Funk Miss. Annie Clemmer female 38 0 0 237671 13 S
604 0 178 1 Isham Miss. Ann Elizabeth female 50 0 0 PC 17595 28.7125 C49 C
605 0 213 3 Perkin Mr. John Henry male 22 0 0 A/5 21174 7.25 S
606 0 462 3 Morley Mr. William male 34 0 0 364506 8.05 S
607 0 170 3 Ling Mr. Lee male 28 0 0 1601 56.4958 S
608 0 865 2 Gill Mr. John William male 24 0 0 233866 13 S
609 1 217 3 Honkanen Miss. Eliina female 27 0 0 STON/O2. 3101283 7.925 S
610 1 66 3 Moubarek Master. Gerios male NA 1 1 2661 15.2458 C
611 0 389 3 Sadlier Mr. Matthew male NA 0 0 367655 7.7292 Q
612 0 293 2 Levy Mr. Rene Jacques male 36 0 0 SC/Paris 2163 12.875 D C
613 0 214 2 Givard Mr. Hans Kristensen male 30 0 0 250646 13 S
614 1 326 1 Young Miss. Marie Grice female 36 0 0 PC 17760 135.6333 C32 C
615 0 283 3 de Pelsmaeker Mr. Alfons male 16 0 0 345778 9.5 S
616 0 481 3 Goodwin Master. Harold Victor male 9 5 2 CA 2144 46.9 S
617 0 192 2 Carbines Mr. William male 19 0 0 28424 13 S
618 0 345 2 Fox Mr. Stanley Hubert male 36 0 0 229236 13 S
619 1 609 2 Laroche Mrs. Joseph (Juliette Marie Louise Lafargue) female 22 1 2 SC/Paris 2123 41.5792 C
620 0 660 1 Newell Mr. Arthur Webster male 58 0 2 35273 113.275 D48 C
621 1 85 2 Ilett Miss. Bertha female 17 0 0 SO/C 14885 10.5 S
622 1 521 1 Perreault Miss. Anne female 30 0 0 12749 93.5 B73 S
623 1 644 3 Foo Mr. Choong male NA 0 0 1601 56.4958 S
624 1 831 3 Yasbeck Mrs. Antoni (Selini Alexander) female 15 1 0 2659 14.4542 C

316
cw_5/.ipynb_checkpoints/main-checkpoint.ipynb Normal file
View File

@ -0,0 +1,316 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 139,
"id": "02249c82",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from sklearn.impute import SimpleImputer\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.metrics import precision_recall_fscore_support"
]
},
{
"cell_type": "code",
"execution_count": 140,
"id": "4be6437d",
"metadata": {},
"outputs": [],
"source": [
"data = pd.read_csv('titanic.tsv',sep='\\t')\n",
"\n",
"# formatowanie danych\n",
"data['Sex'] = data['Sex'].apply(lambda x: 1 if x=='male' else 0)\n",
"data['Name_to_num'] = data['Name'].apply(\n",
" lambda x: 1 if 'Mr.' in x else 0\n",
")\n",
"del data['Name']\n",
"\n",
"data['Cabin'] = data['Cabin'].replace(np.nan,'Undefined')\n",
"\n",
"\n",
"vectorizer = TfidfVectorizer()\n",
"vectorizer.fit(data['Cabin'])\n",
"vector = vectorizer.transform(data['Cabin']).toarray()\n",
"vector_sum = []\n",
"for v in vector:\n",
" vector_sum.append(v.sum())\n",
"data['Cabin']=vector_sum\n",
"\n",
"data['Embarked'] = data['Embarked'].replace(np.nan,'Undefined')\n",
"\n",
"data = pd.get_dummies(data,columns=['Embarked'])\n",
"\n",
"imputer = SimpleImputer(missing_values=np.nan, strategy='median')\n",
"data[['Age']] = imputer.fit_transform(data[['Age']])\n",
"\n",
"data['Ticket'] = data['Ticket'].replace(np.nan,'Undefined')\n",
"\n",
"vectorizer = TfidfVectorizer()\n",
"vectorizer.fit(data['Ticket'])\n",
"vector = vectorizer.transform(data['Ticket']).toarray()\n",
"vector_sum = []\n",
"for v in vector:\n",
" vector_sum.append(v.sum())\n",
"data['Ticket']=vector_sum"
]
},
{
"cell_type": "code",
"execution_count": 141,
"id": "618e8841",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Survived</th>\n",
" <th>PassengerId</th>\n",
" <th>Pclass</th>\n",
" <th>Sex</th>\n",
" <th>Age</th>\n",
" <th>SibSp</th>\n",
" <th>Parch</th>\n",
" <th>Ticket</th>\n",
" <th>Fare</th>\n",
" <th>Cabin</th>\n",
" <th>Name_to_num</th>\n",
" <th>Embarked_C</th>\n",
" <th>Embarked_Q</th>\n",
" <th>Embarked_S</th>\n",
" <th>Embarked_Undefined</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>530</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>23.0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>11.5000</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>466</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.391284</td>\n",
" <td>7.0500</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>753</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.000000</td>\n",
" <td>9.5000</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>855</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>44.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1.000000</td>\n",
" <td>26.0000</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>333</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1.365721</td>\n",
" <td>153.4625</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Survived PassengerId Pclass Sex Age SibSp Parch Ticket Fare \\\n",
"0 0 530 2 1 23.0 2 1 1.000000 11.5000 \n",
"1 0 466 3 1 38.0 0 0 1.391284 7.0500 \n",
"2 0 753 3 1 33.0 0 0 1.000000 9.5000 \n",
"3 0 855 2 0 44.0 1 0 1.000000 26.0000 \n",
"4 0 333 1 1 38.0 0 1 1.365721 153.4625 \n",
"\n",
" Cabin Name_to_num Embarked_C Embarked_Q Embarked_S Embarked_Undefined \n",
"0 1.0 1 0 0 1 0 \n",
"1 1.0 1 0 0 1 0 \n",
"2 1.0 1 0 0 1 0 \n",
"3 1.0 0 0 0 1 0 \n",
"4 1.0 1 0 0 1 0 "
]
},
"execution_count": 141,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 142,
"id": "7134ea55",
"metadata": {},
"outputs": [],
"source": [
"# Podział danych na zbiór uczący i zbiór testowy\n",
"data_train,data_test = train_test_split(data, test_size=0.2)\n",
"\n",
"# zdefiniowanie cech\n",
"FEATURES = ['Sex','Age','Embarked_C','Embarked_Q','Embarked_S']\n",
"x_train = pd.DataFrame(data_train[FEATURES])\n",
"y_train = pd.DataFrame(data_train['Survived'])\n",
"model = LogisticRegression()"
]
},
{
"cell_type": "code",
"execution_count": 143,
"id": "1ff85122",
"metadata": {},
"outputs": [],
"source": [
"# uczenie modelu\n",
"model.fit(x_train,y_train.values.ravel())\n",
"\n",
"# predykcja wynikow\n",
"x_test = pd.DataFrame(data_test[FEATURES])\n",
"y_expected = pd.DataFrame(data_test['Survived'])\n",
"y_predicted = model.predict(x_test)"
]
},
{
"cell_type": "code",
"execution_count": 144,
"id": "0dff77b1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Precision: 0.832\n",
"Recall: 0.832\n",
"F-score: 0.832\n",
"Model score: 0.832\n"
]
}
],
"source": [
"# ewaluacja wynikow\n",
"precision, recall, fscore, support = precision_recall_fscore_support(\n",
" y_expected, y_predicted, average='micro'\n",
")\n",
"\n",
"print(f\"Precision: {precision}\")\n",
"print(f\"Recall: {recall}\")\n",
"print(f\"F-score: {fscore}\")\n",
"\n",
"score = model.score(x_test, y_expected)\n",
"\n",
"print(f\"Model score: {score}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

316
cw_5/main.ipynb Normal file
View File

@ -0,0 +1,316 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 139,
"id": "02249c82",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from sklearn.impute import SimpleImputer\n",
"from sklearn.feature_extraction.text import TfidfVectorizer\n",
"\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.metrics import precision_recall_fscore_support"
]
},
{
"cell_type": "code",
"execution_count": 140,
"id": "4be6437d",
"metadata": {},
"outputs": [],
"source": [
"data = pd.read_csv('titanic.tsv',sep='\\t')\n",
"\n",
"# formatowanie danych\n",
"data['Sex'] = data['Sex'].apply(lambda x: 1 if x=='male' else 0)\n",
"data['Name_to_num'] = data['Name'].apply(\n",
" lambda x: 1 if 'Mr.' in x else 0\n",
")\n",
"del data['Name']\n",
"\n",
"data['Cabin'] = data['Cabin'].replace(np.nan,'Undefined')\n",
"\n",
"\n",
"vectorizer = TfidfVectorizer()\n",
"vectorizer.fit(data['Cabin'])\n",
"vector = vectorizer.transform(data['Cabin']).toarray()\n",
"vector_sum = []\n",
"for v in vector:\n",
" vector_sum.append(v.sum())\n",
"data['Cabin']=vector_sum\n",
"\n",
"data['Embarked'] = data['Embarked'].replace(np.nan,'Undefined')\n",
"\n",
"data = pd.get_dummies(data,columns=['Embarked'])\n",
"\n",
"imputer = SimpleImputer(missing_values=np.nan, strategy='median')\n",
"data[['Age']] = imputer.fit_transform(data[['Age']])\n",
"\n",
"data['Ticket'] = data['Ticket'].replace(np.nan,'Undefined')\n",
"\n",
"vectorizer = TfidfVectorizer()\n",
"vectorizer.fit(data['Ticket'])\n",
"vector = vectorizer.transform(data['Ticket']).toarray()\n",
"vector_sum = []\n",
"for v in vector:\n",
" vector_sum.append(v.sum())\n",
"data['Ticket']=vector_sum"
]
},
{
"cell_type": "code",
"execution_count": 141,
"id": "618e8841",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Survived</th>\n",
" <th>PassengerId</th>\n",
" <th>Pclass</th>\n",
" <th>Sex</th>\n",
" <th>Age</th>\n",
" <th>SibSp</th>\n",
" <th>Parch</th>\n",
" <th>Ticket</th>\n",
" <th>Fare</th>\n",
" <th>Cabin</th>\n",
" <th>Name_to_num</th>\n",
" <th>Embarked_C</th>\n",
" <th>Embarked_Q</th>\n",
" <th>Embarked_S</th>\n",
" <th>Embarked_Undefined</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>530</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>23.0</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>1.000000</td>\n",
" <td>11.5000</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>466</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.391284</td>\n",
" <td>7.0500</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>753</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>33.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1.000000</td>\n",
" <td>9.5000</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0</td>\n",
" <td>855</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>44.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1.000000</td>\n",
" <td>26.0000</td>\n",
" <td>1.0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0</td>\n",
" <td>333</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>38.0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1.365721</td>\n",
" <td>153.4625</td>\n",
" <td>1.0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Survived PassengerId Pclass Sex Age SibSp Parch Ticket Fare \\\n",
"0 0 530 2 1 23.0 2 1 1.000000 11.5000 \n",
"1 0 466 3 1 38.0 0 0 1.391284 7.0500 \n",
"2 0 753 3 1 33.0 0 0 1.000000 9.5000 \n",
"3 0 855 2 0 44.0 1 0 1.000000 26.0000 \n",
"4 0 333 1 1 38.0 0 1 1.365721 153.4625 \n",
"\n",
" Cabin Name_to_num Embarked_C Embarked_Q Embarked_S Embarked_Undefined \n",
"0 1.0 1 0 0 1 0 \n",
"1 1.0 1 0 0 1 0 \n",
"2 1.0 1 0 0 1 0 \n",
"3 1.0 0 0 0 1 0 \n",
"4 1.0 1 0 0 1 0 "
]
},
"execution_count": 141,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 142,
"id": "7134ea55",
"metadata": {},
"outputs": [],
"source": [
"# Podział danych na zbiór uczący i zbiór testowy\n",
"data_train,data_test = train_test_split(data, test_size=0.2)\n",
"\n",
"# zdefiniowanie cech\n",
"FEATURES = ['Sex','Age','Embarked_C','Embarked_Q','Embarked_S']\n",
"x_train = pd.DataFrame(data_train[FEATURES])\n",
"y_train = pd.DataFrame(data_train['Survived'])\n",
"model = LogisticRegression()"
]
},
{
"cell_type": "code",
"execution_count": 143,
"id": "1ff85122",
"metadata": {},
"outputs": [],
"source": [
"# uczenie modelu\n",
"model.fit(x_train,y_train.values.ravel())\n",
"\n",
"# predykcja wynikow\n",
"x_test = pd.DataFrame(data_test[FEATURES])\n",
"y_expected = pd.DataFrame(data_test['Survived'])\n",
"y_predicted = model.predict(x_test)"
]
},
{
"cell_type": "code",
"execution_count": 144,
"id": "0dff77b1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Precision: 0.832\n",
"Recall: 0.832\n",
"F-score: 0.832\n",
"Model score: 0.832\n"
]
}
],
"source": [
"# ewaluacja wynikow\n",
"precision, recall, fscore, support = precision_recall_fscore_support(\n",
" y_expected, y_predicted, average='micro'\n",
")\n",
"\n",
"print(f\"Precision: {precision}\")\n",
"print(f\"Recall: {recall}\")\n",
"print(f\"F-score: {fscore}\")\n",
"\n",
"score = model.score(x_test, y_expected)\n",
"\n",
"print(f\"Model score: {score}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

624
cw_5/titanic.tsv Normal file
View File

@ -0,0 +1,624 @@
"Survived" "PassengerId" "Pclass" "Name" "Sex" "Age" "SibSp" "Parch" "Ticket" "Fare" "Cabin" "Embarked"
0 530 2 "Hocking Mr. Richard George" "male" 23 2 1 "29104" 11.5 "" "S"
0 466 3 "Goncalves Mr. Manuel Estanslas" "male" 38 0 0 "SOTON/O.Q. 3101306" 7.05 "" "S"
0 753 3 "Vande Velde Mr. Johannes Joseph" "male" 33 0 0 "345780" 9.5 "" "S"
0 855 2 "Carter Mrs. Ernest Courtenay (Lilian Hughes)" "female" 44 1 0 "244252" 26 "" "S"
0 333 1 "Graham Mr. George Edward" "male" 38 0 1 "PC 17582" 153.4625 "C91" "S"
0 39 3 "Vander Planke Miss. Augusta Maria" "female" 18 2 0 "345764" 18 "" "S"
0 236 3 "Harknett Miss. Alice Phoebe" "female" NA 0 0 "W./C. 6609" 7.55 "" "S"
0 303 3 "Johnson Mr. William Cahoone Jr" "male" 19 0 0 "LINE" 0 "" "S"
1 18 2 "Williams Mr. Charles Eugene" "male" NA 0 0 "244373" 13 "" "S"
1 505 1 "Maioni Miss. Roberta" "female" 16 0 0 "110152" 86.5 "B79" "S"
1 670 1 "Taylor Mrs. Elmer Zebley (Juliet Cummins Wright)" "female" NA 1 0 "19996" 52 "C126" "S"
1 316 3 "Nilsson Miss. Helmina Josefina" "female" 26 0 0 "347470" 7.8542 "" "S"
1 690 1 "Madill Miss. Georgette Alexandra" "female" 15 0 1 "24160" 211.3375 "B5" "S"
1 718 2 "Troutt Miss. Edwina Celia ""Winnie""" "female" 27 0 0 "34218" 10.5 "E101" "S"
1 580 3 "Jussila Mr. Eiriik" "male" 32 0 0 "STON/O 2. 3101286" 7.925 "" "S"
0 697 3 "Kelly Mr. James" "male" 44 0 0 "363592" 8.05 "" "S"
1 193 3 "Andersen-Jensen Miss. Carla Christine Nielsine" "female" 19 1 0 "350046" 7.8542 "" "S"
0 634 1 "Parr Mr. William Henry Marsh" "male" NA 0 0 "112052" 0 "" "S"
1 858 1 "Daly Mr. Peter Denis " "male" 51 0 0 "113055" 26.55 "E17" "S"
1 329 3 "Goldsmith Mrs. Frank John (Emily Alice Brown)" "female" 31 1 1 "363291" 20.525 "" "S"
0 784 3 "Johnston Mr. Andrew G" "male" NA 1 2 "W./C. 6607" 23.45 "" "S"
0 407 3 "Widegren Mr. Carl/Charles Peter" "male" 51 0 0 "347064" 7.75 "" "S"
0 747 3 "Abbott Mr. Rossmore Edward" "male" 16 1 1 "C.A. 2673" 20.25 "" "S"
0 492 3 "Windelov Mr. Einar" "male" 21 0 0 "SOTON/OQ 3101317" 7.25 "" "S"
1 534 3 "Peter Mrs. Catherine (Catherine Rizk)" "female" NA 0 2 "2668" 22.3583 "" "C"
0 862 2 "Giles Mr. Frederick Edward" "male" 21 1 0 "28134" 11.5 "" "S"
0 724 2 "Hodges Mr. Henry Price" "male" 50 0 0 "250643" 13 "" "S"
0 685 2 "Brown Mr. Thomas William Solomon" "male" 60 1 1 "29750" 39 "" "S"
0 344 2 "Sedgwick Mr. Charles Frederick Waddington" "male" 25 0 0 "244361" 13 "" "S"
1 751 2 "Wells Miss. Joan" "female" 4 1 1 "29103" 23 "" "S"
0 734 2 "Berriman Mr. William John" "male" 23 0 0 "28425" 13 "" "S"
0 496 3 "Yousseff Mr. Gerious" "male" NA 0 0 "2627" 14.4583 "" "C"
0 296 1 "Lewy Mr. Ervin G" "male" NA 0 0 "PC 17612" 27.7208 "" "C"
0 516 1 "Walker Mr. William Anderson" "male" 47 0 0 "36967" 34.0208 "D46" "S"
0 282 3 "Olsson Mr. Nils Johan Goransson" "male" 28 0 0 "347464" 7.8542 "" "S"
0 218 2 "Jacobsohn Mr. Sidney Samuel" "male" 42 1 0 "243847" 27 "" "S"
1 107 3 "Salkjelsvik Miss. Anna Kristine" "female" 21 0 0 "343120" 7.65 "" "S"
0 878 3 "Petroff Mr. Nedelio" "male" 19 0 0 "349212" 7.8958 "" "S"
1 291 1 "Barber Miss. Ellen ""Nellie""" "female" 26 0 0 "19877" 78.85 "" "S"
0 722 3 "Jensen Mr. Svend Lauritz" "male" 17 1 0 "350048" 7.0542 "" "S"
0 826 3 "Flynn Mr. John" "male" NA 0 0 "368323" 6.95 "" "Q"
0 434 3 "Kallio Mr. Nikolai Erland" "male" 17 0 0 "STON/O 2. 3101274" 7.125 "" "S"
0 404 3 "Hakkarainen Mr. Pekka Pietari" "male" 28 1 0 "STON/O2. 3101279" 15.85 "" "S"
1 210 1 "Blank Mr. Henry" "male" 40 0 0 "112277" 31 "A31" "C"
1 166 3 "Goldsmith Master. Frank John William ""Frankie""" "male" 9 0 2 "363291" 20.525 "" "S"
0 201 3 "Vande Walle Mr. Nestor Cyriel" "male" 28 0 0 "345770" 9.5 "" "S"
0 361 3 "Skoog Mr. Wilhelm" "male" 40 1 4 "347088" 27.9 "" "S"
1 53 1 "Harper Mrs. Henry Sleeper (Myna Haxtun)" "female" 49 1 0 "PC 17572" 76.7292 "D33" "C"
0 612 3 "Jardin Mr. Jose Neto" "male" NA 0 0 "SOTON/O.Q. 3101305" 7.05 "" "S"
0 60 3 "Goodwin Master. William Frederick" "male" 11 5 2 "CA 2144" 46.9 "" "S"
1 262 3 "Asplund Master. Edvin Rojj Felix" "male" 3 4 2 "347077" 31.3875 "" "S"
1 674 2 "Wilhelms Mr. Charles" "male" 31 0 0 "244270" 13 "" "S"
0 63 1 "Harris Mr. Henry Birkhardt" "male" 45 1 0 "36973" 83.475 "C83" "S"
0 215 3 "Kiernan Mr. Philip" "male" NA 1 0 "367229" 7.75 "" "Q"
0 618 3 "Lobb Mrs. William Arthur (Cordelia K Stanlick)" "female" 26 1 0 "A/5. 3336" 16.1 "" "S"
1 789 3 "Dean Master. Bertram Vere" "male" 1 1 2 "C.A. 2315" 20.575 "" "S"
1 312 1 "Ryerson Miss. Emily Borie" "female" 18 2 2 "PC 17608" 262.375 "B57 B59 B63 B66" "C"
0 113 3 "Barton Mr. David John" "male" 22 0 0 "324669" 8.05 "" "S"
0 314 3 "Hendekovic Mr. Ignjac" "male" 28 0 0 "349243" 7.8958 "" "S"
1 517 2 "Lemore Mrs. (Amelia Milley)" "female" 34 0 0 "C.A. 34260" 10.5 "F33" "S"
0 174 3 "Sivola Mr. Antti Wilhelm" "male" 21 0 0 "STON/O 2. 3101280" 7.925 "" "S"
1 803 1 "Carter Master. William Thornton II" "male" 11 1 2 "113760" 120 "B96 B98" "S"
0 479 3 "Karlsson Mr. Nils August" "male" 22 0 0 "350060" 7.5208 "" "S"
1 445 3 "Johannesen-Bratthammer Mr. Bernt" "male" NA 0 0 "65306" 8.1125 "" "S"
0 684 3 "Goodwin Mr. Charles Edward" "male" 14 5 2 "CA 2144" 46.9 "" "S"
1 597 2 "Leitch Miss. Jessie Wills" "female" NA 0 0 "248727" 33 "" "S"
0 229 2 "Fahlstrom Mr. Arne Jonas" "male" 18 0 0 "236171" 13 "" "S"
0 121 2 "Hickman Mr. Stanley George" "male" 21 2 0 "S.O.C. 14879" 73.5 "" "S"
0 526 3 "Farrell Mr. James" "male" 40.5 0 0 "367232" 7.75 "" "Q"
1 360 3 "Mockler Miss. Helen Mary ""Ellie""" "female" NA 0 0 "330980" 7.8792 "" "Q"
1 20 3 "Masselmani Mrs. Fatima" "female" NA 0 0 "2649" 7.225 "" "C"
0 28 1 "Fortune Mr. Charles Alexander" "male" 19 3 2 "19950" 263 "C23 C25 C27" "S"
0 761 3 "Garfirth Mr. John" "male" NA 0 0 "358585" 14.5 "" "S"
1 487 1 "Hoyt Mrs. Frederick Maxfield (Jane Anne Forby)" "female" 35 1 0 "19943" 90 "C93" "S"
0 385 3 "Plotcharsky Mr. Vasil" "male" NA 0 0 "349227" 7.8958 "" "S"
0 364 3 "Asim Mr. Adola" "male" 35 0 0 "SOTON/O.Q. 3101310" 7.05 "" "S"
1 124 2 "Webber Miss. Susan" "female" 32.5 0 0 "27267" 13 "E101" "S"
0 165 3 "Panula Master. Eino Viljami" "male" 1 4 1 "3101295" 39.6875 "" "S"
0 668 3 "Rommetvedt Mr. Knud Paust" "male" NA 0 0 "312993" 7.775 "" "S"
0 596 3 "Van Impe Mr. Jean Baptiste" "male" 36 1 1 "345773" 24.15 "" "S"
0 845 3 "Culumovic Mr. Jeso" "male" 17 0 0 "315090" 8.6625 "" "S"
1 510 3 "Lang Mr. Fang" "male" 26 0 0 "1601" 56.4958 "" "S"
0 135 2 "Sobey Mr. Samuel James Hayden" "male" 25 0 0 "C.A. 29178" 13 "" "S"
1 196 1 "Lurette Miss. Elise" "female" 58 0 0 "PC 17569" 146.5208 "B80" "C"
1 377 3 "Landergren Miss. Aurora Adelia" "female" 22 0 0 "C 7077" 7.25 "" "S"
1 745 3 "Stranden Mr. Juho" "male" 31 0 0 "STON/O 2. 3101288" 7.925 "" "S"
0 729 2 "Bryhl Mr. Kurt Arnold Gottfrid" "male" 25 1 0 "236853" 26 "" "S"
1 661 1 "Frauenthal Dr. Henry William" "male" 50 2 0 "PC 17611" 133.65 "" "S"
0 437 3 "Ford Miss. Doolina Margaret ""Daisy""" "female" 21 2 2 "W./C. 6608" 34.375 "" "S"
1 9 3 "Johnson Mrs. Oscar W (Elisabeth Vilhelmina Berg)" "female" 27 0 2 "347742" 11.1333 "" "S"
0 835 3 "Allum Mr. Owen George" "male" 18 0 0 "2223" 8.3 "" "S"
0 794 1 "Hoyt Mr. William Fisher" "male" NA 0 0 "PC 17600" 30.6958 "" "C"
0 891 3 "Dooley Mr. Patrick" "male" 32 0 0 "370376" 7.75 "" "Q"
0 851 3 "Andersson Master. Sigvard Harald Elias" "male" 4 4 2 "347082" 31.275 "" "S"
1 854 1 "Lines Miss. Mary Conover" "female" 16 0 1 "PC 17592" 39.4 "D28" "S"
0 552 2 "Sharp Mr. Percival James R" "male" 27 0 0 "244358" 26 "" "S"
1 671 2 "Brown Mrs. Thomas William Solomon (Elizabeth Catherine Ford)" "female" 40 1 1 "29750" 39 "" "S"
0 228 3 "Lovell Mr. John Hall (""Henry"")" "male" 20.5 0 0 "A/5 21173" 7.25 "" "S"
1 763 3 "Barah Mr. Hanna Assi" "male" 20 0 0 "2663" 7.2292 "" "C"
0 591 3 "Rintamaki Mr. Matti" "male" 35 0 0 "STON/O 2. 3101273" 7.125 "" "S"
0 155 3 "Olsen Mr. Ole Martin" "male" NA 0 0 "Fa 265302" 7.3125 "" "S"
0 104 3 "Johansson Mr. Gustaf Joel" "male" 33 0 0 "7540" 8.6542 "" "S"
0 443 3 "Petterson Mr. Johan Emil" "male" 25 1 0 "347076" 7.775 "" "S"
1 592 1 "Stephenson Mrs. Walter Bertram (Martha Eustis)" "female" 52 1 0 "36947" 78.2667 "D20" "C"
0 584 1 "Ross Mr. John Hugo" "male" 36 0 0 "13049" 40.125 "A10" "C"
0 277 3 "Lindblom Miss. Augusta Charlotta" "female" 45 0 0 "347073" 7.75 "" "S"
1 514 1 "Rothschild Mrs. Martin (Elizabeth L. Barrett)" "female" 54 1 0 "PC 17603" 59.4 "" "C"
1 83 3 "McDermott Miss. Brigdet Delia" "female" NA 0 0 "330932" 7.7875 "" "Q"
1 856 3 "Aks Mrs. Sam (Leah Rosen)" "female" 18 0 1 "392091" 9.35 "" "S"
1 390 2 "Lehmann Miss. Bertha" "female" 17 0 0 "SC 1748" 12 "" "C"
0 579 3 "Caram Mrs. Joseph (Maria Elias)" "female" NA 1 0 "2689" 14.4583 "" "C"
0 500 3 "Svensson Mr. Olof" "male" 24 0 0 "350035" 7.7958 "" "S"
0 412 3 "Hart Mr. Henry" "male" NA 0 0 "394140" 6.8583 "" "Q"
0 687 3 "Panula Mr. Jaako Arnold" "male" 14 4 1 "3101295" 39.6875 "" "S"
0 73 2 "Hood Mr. Ambrose Jr" "male" 21 0 0 "S.O.C. 14879" 73.5 "" "S"
0 887 2 "Montvila Rev. Juozas" "male" 27 0 0 "211536" 13 "" "S"
0 503 3 "O'Sullivan Miss. Bridget Mary" "female" NA 0 0 "330909" 7.6292 "" "Q"
0 41 3 "Ahlin Mrs. Johan (Johanna Persdotter Larsson)" "female" 40 1 0 "7546" 9.475 "" "S"
1 654 3 "O'Leary Miss. Hanora ""Norah""" "female" NA 0 0 "330919" 7.8292 "" "Q"
1 484 3 "Turkula Mrs. (Hedwig)" "female" 63 0 0 "4134" 9.5875 "" "S"
0 426 3 "Wiseman Mr. Phillippe" "male" NA 0 0 "A/4. 34244" 7.25 "" "S"
1 438 2 "Richards Mrs. Sidney (Emily Hocking)" "female" 24 2 3 "29106" 18.75 "" "S"
0 625 3 "Bowen Mr. David John ""Dai""" "male" 21 0 0 "54636" 16.1 "" "S"
0 114 3 "Jussila Miss. Katriina" "female" 20 1 0 "4136" 9.825 "" "S"
0 614 3 "Horgan Mr. John" "male" NA 0 0 "370377" 7.75 "" "Q"
1 731 1 "Allen Miss. Elisabeth Walton" "female" 29 0 0 "24160" 211.3375 "B5" "S"
0 675 2 "Watson Mr. Ennis Hastings" "male" NA 0 0 "239856" 0 "" "S"
0 712 1 "Klaber Mr. Herman" "male" NA 0 0 "113028" 26.55 "C124" "S"
0 657 3 "Radeff Mr. Alexander" "male" NA 0 0 "349223" 7.8958 "" "S"
0 848 3 "Markoff Mr. Marin" "male" 35 0 0 "349213" 7.8958 "" "C"
0 809 2 "Meyer Mr. August" "male" 39 0 0 "248723" 13 "" "S"
1 577 2 "Garside Miss. Ethel" "female" 34 0 0 "243880" 13 "" "S"
0 343 2 "Collander Mr. Erik Gustaf" "male" 28 0 0 "248740" 13 "" "S"
0 252 3 "Strom Mrs. Wilhelm (Elna Matilda Persson)" "female" 29 1 1 "347054" 10.4625 "G6" "S"
0 518 3 "Ryan Mr. Patrick" "male" NA 0 0 "371110" 24.15 "" "Q"
0 515 3 "Coleff Mr. Satio" "male" 24 0 0 "349209" 7.4958 "" "S"
0 327 3 "Nysveen Mr. Johan Hansen" "male" 61 0 0 "345364" 6.2375 "" "S"
0 144 3 "Burke Mr. Jeremiah" "male" 19 0 0 "365222" 6.75 "" "Q"
0 629 3 "Bostandyeff Mr. Guentcho" "male" 26 0 0 "349224" 7.8958 "" "S"
0 469 3 "Scanlan Mr. James" "male" NA 0 0 "36209" 7.725 "" "Q"
1 199 3 "Madigan Miss. Margaret ""Maggie""" "female" NA 0 0 "370370" 7.75 "" "Q"
1 459 2 "Toomey Miss. Ellen" "female" 50 0 0 "F.C.C. 13531" 10.5 "" "S"
1 485 1 "Bishop Mr. Dickinson H" "male" 25 1 0 "11967" 91.0792 "B49" "C"
1 349 3 "Coutts Master. William Loch ""William""" "male" 3 1 1 "C.A. 37671" 15.9 "" "S"
0 716 3 "Soholt Mr. Peter Andreas Lauritz Andersen" "male" 19 0 0 "348124" 7.65 "F G73" "S"
0 742 1 "Cavendish Mr. Tyrell William" "male" 36 1 0 "19877" 78.85 "C46" "S"
0 520 3 "Pavlovic Mr. Stefo" "male" 32 0 0 "349242" 7.8958 "" "S"
1 764 1 "Carter Mrs. William Ernest (Lucile Polk)" "female" 36 1 2 "113760" 120 "B96 B98" "S"
0 19 3 "Vander Planke Mrs. Julius (Emelia Maria Vandemoortele)" "female" 31 1 0 "345763" 18 "" "S"
0 563 2 "Norman Mr. Robert Douglas" "male" 28 0 0 "218629" 13.5 "" "S"
1 331 3 "McCoy Miss. Agnes" "female" NA 2 0 "367226" 23.25 "" "Q"
0 251 3 "Reed Mr. James George" "male" NA 0 0 "362316" 7.25 "" "S"
1 850 1 "Goldenberg Mrs. Samuel L (Edwiga Grabowska)" "female" NA 1 0 "17453" 89.1042 "C92" "C"
1 778 3 "Emanuel Miss. Virginia Ethel" "female" 5 0 0 "364516" 12.475 "" "S"
1 458 1 "Kenyon Mrs. Frederick R (Marion)" "female" NA 1 0 "17464" 51.8625 "D21" "S"
0 457 1 "Millet Mr. Francis Davis" "male" 65 0 0 "13509" 26.55 "E38" "S"
1 433 2 "Louch Mrs. Charles Alexander (Alice Adelaide Slow)" "female" 42 1 0 "SC/AH 3085" 26 "" "S"
1 743 1 "Ryerson Miss. Susan Parker ""Suzette""" "female" 21 2 2 "PC 17608" 262.375 "B57 B59 B63 B66" "C"
1 741 1 "Hawksford Mr. Walter James" "male" NA 0 0 "16988" 30 "D45" "S"
1 234 3 "Asplund Miss. Lillian Gertrud" "female" 5 4 2 "347077" 31.3875 "" "S"
1 57 2 "Rugg Miss. Emily" "female" 21 0 0 "C.A. 31026" 10.5 "" "S"
0 816 1 "Fry Mr. Richard" "male" NA 0 0 "112058" 0 "B102" "S"
1 56 1 "Woolner Mr. Hugh" "male" NA 0 0 "19947" 35.5 "C52" "S"
0 169 1 "Baumann Mr. John D" "male" NA 0 0 "PC 17318" 25.925 "" "S"
0 168 3 "Skoog Mrs. William (Anna Bernhardina Karlsson)" "female" 45 1 4 "347088" 27.9 "" "S"
0 158 3 "Corn Mr. Harry" "male" 30 0 0 "SOTON/OQ 392090" 8.05 "" "S"
1 270 1 "Bissette Miss. Amelia" "female" 35 0 0 "PC 17760" 135.6333 "C99" "S"
0 243 2 "Coleridge Mr. Reginald Charles" "male" 29 0 0 "W./C. 14263" 10.5 "" "S"
0 240 2 "Hunt Mr. George Henry" "male" 33 0 0 "SCO/W 1585" 12.275 "" "S"
0 177 3 "Lefebre Master. Henry Forbes" "male" NA 3 1 "4133" 25.4667 "" "S"
1 608 1 "Daniel Mr. Robert Williams" "male" 27 0 0 "113804" 30.5 "" "S"
0 587 2 "Jarvis Mr. John Denzil" "male" 47 0 0 "237565" 15 "" "S"
1 508 1 "Bradley Mr. George (""George Arthur Brayton"")" "male" NA 0 0 "111427" 26.55 "" "S"
1 648 1 "Simonius-Blumer Col. Oberst Alfons" "male" 56 0 0 "13213" 35.5 "A26" "C"
0 255 3 "Rosblom Mrs. Viktor (Helena Wilhelmina)" "female" 41 0 2 "370129" 20.2125 "" "S"
0 602 3 "Slabenoff Mr. Petco" "male" NA 0 0 "349214" 7.8958 "" "S"
0 136 2 "Richard Mr. Emile" "male" 23 0 0 "SC/PARIS 2133" 15.0458 "" "C"
0 464 2 "Milling Mr. Jacob Christian" "male" 48 0 0 "234360" 13 "" "S"
1 570 3 "Jonsson Mr. Carl" "male" 32 0 0 "350417" 7.8542 "" "S"
1 126 3 "Nicola-Yarred Master. Elias" "male" 12 1 0 "2651" 11.2417 "" "C"
1 721 2 "Harper Miss. Annie Jessie ""Nina""" "female" 6 0 1 "248727" 33 "" "S"
0 31 1 "Uruchurtu Don. Manuel E" "male" 40 0 0 "PC 17601" 27.7208 "" "C"
0 261 3 "Smith Mr. Thomas" "male" NA 0 0 "384461" 7.75 "" "Q"
0 621 3 "Yasbeck Mr. Antoni" "male" 27 1 0 "2659" 14.4542 "" "C"
0 838 3 "Sirota Mr. Maurice" "male" NA 0 0 "392092" 8.05 "" "S"
0 68 3 "Crease Mr. Ernest James" "male" 19 0 0 "S.P. 3464" 8.1583 "" "S"
1 392 3 "Jansson Mr. Carl Olof" "male" 21 0 0 "350034" 7.7958 "" "S"
1 450 1 "Peuchen Major. Arthur Godfrey" "male" 52 0 0 "113786" 30.5 "C104" "S"
0 873 1 "Carlsson Mr. Frans Olof" "male" 33 0 0 "695" 5 "B51 B53 B55" "S"
1 11 3 "Sandstrom Miss. Marguerite Rut" "female" 4 1 1 "PP 9549" 16.7 "G6" "S"
1 187 3 "O'Brien Mrs. Thomas (Johanna ""Hannah"" Godfrey)" "female" NA 1 0 "370365" 15.5 "" "Q"
0 795 3 "Dantcheff Mr. Ristiu" "male" 25 0 0 "349203" 7.8958 "" "S"
1 780 1 "Robert Mrs. Edward Scott (Elisabeth Walton McMillan)" "female" 43 0 1 "24160" 211.3375 "B3" "S"
0 509 3 "Olsen Mr. Henry Margido" "male" 28 0 0 "C 4001" 22.525 "" "S"
0 285 1 "Smith Mr. Richard William" "male" NA 0 0 "113056" 26 "A19" "S"
0 34 2 "Wheadon Mr. Edward H" "male" 66 0 0 "C.A. 24579" 10.5 "" "S"
0 172 3 "Rice Master. Arthur" "male" 4 4 1 "382652" 29.125 "" "Q"
1 447 2 "Mellinger Miss. Madeleine Violet" "female" 13 0 1 "250644" 19.5 "" "S"
0 537 1 "Butt Major. Archibald Willingham" "male" 45 0 0 "113050" 26.55 "B38" "S"
0 386 2 "Davies Mr. Charles Henry" "male" 18 0 0 "S.O.C. 14879" 73.5 "" "S"
0 410 3 "Lefebre Miss. Ida" "female" NA 3 1 "4133" 25.4667 "" "S"
1 371 1 "Harder Mr. George Achilles" "male" 25 1 0 "11765" 55.4417 "E50" "C"
0 556 1 "Wright Mr. George" "male" 62 0 0 "113807" 26.55 "" "S"
0 730 3 "Ilmakangas Miss. Pieta Sofia" "female" 25 1 0 "STON/O2. 3101271" 7.925 "" "S"
0 416 3 "Meek Mrs. Thomas (Annie Louise Rowley)" "female" NA 0 0 "343095" 8.05 "" "S"
0 77 3 "Staneff Mr. Ivan" "male" NA 0 0 "349208" 7.8958 "" "S"
0 365 3 "O'Brien Mr. Thomas" "male" NA 1 0 "370365" 15.5 "" "Q"
0 562 3 "Sivic Mr. Husein" "male" 40 0 0 "349251" 7.8958 "" "S"
1 287 3 "de Mulder Mr. Theodore" "male" 30 0 0 "345774" 9.5 "" "S"
0 127 3 "McMahon Mr. Martin" "male" NA 0 0 "370372" 7.75 "" "Q"
0 64 3 "Skoog Master. Harald" "male" 4 3 2 "347088" 27.9 "" "S"
1 80 3 "Dowdell Miss. Elizabeth" "female" 30 0 0 "364516" 12.475 "" "S"
0 879 3 "Laleff Mr. Kristo" "male" NA 0 0 "349217" 7.8958 "" "S"
0 88 3 "Slocovski Mr. Selman Francis" "male" NA 0 0 "SOTON/OQ 392086" 8.05 "" "S"
1 191 2 "Pinsky Mrs. (Rosa)" "female" 32 0 0 "234604" 13 "" "S"
0 860 3 "Razi Mr. Raihed" "male" NA 0 0 "2629" 7.2292 "" "C"
0 244 3 "Maenpaa Mr. Matti Alexanteri" "male" 22 0 0 "STON/O 2. 3101275" 7.125 "" "S"
0 74 3 "Chronopoulos Mr. Apostolos" "male" 26 1 0 "2680" 14.4542 "" "C"
1 268 3 "Persson Mr. Ernst Ulrik" "male" 25 1 0 "347083" 7.775 "" "S"
0 148 3 "Ford Miss. Robina Maggie ""Ruby""" "female" 9 2 2 "W./C. 6608" 34.375 "" "S"
0 118 2 "Turpin Mr. William John Robert" "male" 29 1 0 "11668" 21 "" "S"
0 87 3 "Ford Mr. William Neal" "male" 16 1 3 "W./C. 6608" 34.375 "" "S"
0 814 3 "Andersson Miss. Ebba Iris Alfrida" "female" 6 4 2 "347082" 31.275 "" "S"
1 10 2 "Nasser Mrs. Nicholas (Adele Achem)" "female" 14 1 0 "237736" 30.0708 "" "C"
0 120 3 "Andersson Miss. Ellis Anna Maria" "female" 2 4 2 "347082" 31.275 "" "S"
1 829 3 "McCormack Mr. Thomas Joseph" "male" NA 0 0 "367228" 7.75 "" "Q"
0 406 2 "Gale Mr. Shadrach" "male" 34 1 0 "28664" 21 "" "S"
0 419 2 "Matthews Mr. William John" "male" 30 0 0 "28228" 13 "" "S"
1 299 1 "Saalfeld Mr. Adolphe" "male" NA 0 0 "19988" 30.5 "C106" "S"
1 711 1 "Mayne Mlle. Berthe Antonine (""Mrs de Villiers"")" "female" 24 0 0 "PC 17482" 49.5042 "C90" "C"
1 601 2 "Jacobsohn Mrs. Sidney Samuel (Amy Frances Christy)" "female" 24 2 1 "243847" 27 "" "S"
0 842 2 "Mudd Mr. Thomas Charles" "male" 16 0 0 "S.O./P.P. 3" 10.5 "" "S"
0 475 3 "Strandberg Miss. Ida Sofia" "female" 22 0 0 "7553" 9.8375 "" "S"
0 452 3 "Hagland Mr. Ingvald Olai Olsen" "male" NA 1 0 "65303" 19.9667 "" "S"
0 313 2 "Lahtinen Mrs. William (Anna Sylfven)" "female" 26 1 1 "250651" 26 "" "S"
0 593 3 "Elsbury Mr. William James" "male" 47 0 0 "A/5 3902" 7.25 "" "S"
0 532 3 "Toufik Mr. Nakli" "male" NA 0 0 "2641" 7.2292 "" "C"
1 29 3 "O'Dwyer Miss. Ellen ""Nellie""" "female" NA 0 0 "330959" 7.8792 "" "Q"
0 820 3 "Skoog Master. Karl Thorsten" "male" 10 3 2 "347088" 27.9 "" "S"
0 744 3 "McNamee Mr. Neal" "male" 24 1 0 "376566" 16.1 "" "S"
0 512 3 "Webber Mr. James" "male" NA 0 0 "SOTON/OQ 3101316" 8.05 "" "S"
1 470 3 "Baclini Miss. Helene Barbara" "female" 0.75 2 1 "2666" 19.2583 "" "C"
0 206 3 "Strom Miss. Telma Matilda" "female" 2 0 1 "347054" 10.4625 "G6" "S"
1 755 2 "Herman Mrs. Samuel (Jane Laver)" "female" 48 1 2 "220845" 65 "" "S"
1 781 3 "Ayoub Miss. Banoura" "female" 13 0 0 "2687" 7.2292 "" "C"
1 33 3 "Glynn Miss. Mary Agatha" "female" NA 0 0 "335677" 7.75 "" "Q"
1 571 2 "Harris Mr. George" "male" 62 0 0 "S.W./PP 752" 10.5 "" "S"
0 746 1 "Crosby Capt. Edward Gifford" "male" 70 1 1 "WE/P 5735" 71 "B22" "S"
0 294 3 "Haas Miss. Aloisia" "female" 24 0 0 "349236" 8.85 "" "S"
1 208 3 "Albimona Mr. Nassef Cassem" "male" 26 0 0 "2699" 18.7875 "" "C"
0 154 3 "van Billiard Mr. Austin Blyler" "male" 40.5 0 2 "A/5. 851" 14.5 "" "S"
0 267 3 "Panula Mr. Ernesti Arvid" "male" 16 4 1 "3101295" 39.6875 "" "S"
1 317 2 "Kantor Mrs. Sinai (Miriam Sternin)" "female" 24 1 0 "244367" 26 "" "S"
0 620 2 "Gavey Mr. Lawrence" "male" 26 0 0 "31028" 10.5 "" "S"
1 559 1 "Taussig Mrs. Emil (Tillie Mandelbaum)" "female" 39 1 1 "110413" 79.65 "E67" "S"
1 37 3 "Mamee Mr. Hanna" "male" NA 0 0 "2677" 7.2292 "" "C"
0 265 3 "Henry Miss. Delia" "female" NA 0 0 "382649" 7.75 "" "Q"
0 477 2 "Renouf Mr. Peter Henry" "male" 34 1 0 "31027" 21 "" "S"
1 219 1 "Bazzani Miss. Albina" "female" 32 0 0 "11813" 76.2917 "D15" "C"
0 30 3 "Todoroff Mr. Lalio" "male" NA 0 0 "349216" 7.8958 "" "S"
0 853 3 "Boulos Miss. Nourelain" "female" 9 1 1 "2678" 15.2458 "" "C"
0 409 3 "Birkeland Mr. Hans Martin Monsen" "male" 21 0 0 "312992" 7.775 "" "S"
1 328 2 "Ball Mrs. (Ada E Hall)" "female" 36 0 0 "28551" 13 "D" "S"
0 321 3 "Dennis Mr. Samuel" "male" 22 0 0 "A/5 21172" 7.25 "" "S"
1 22 2 "Beesley Mr. Lawrence" "male" 34 0 0 "248698" 13 "D56" "S"
1 110 3 "Moran Miss. Bertha" "female" NA 1 0 "371110" 24.15 "" "Q"
1 490 3 "Coutts Master. Eden Leslie ""Neville""" "male" 9 1 1 "C.A. 37671" 15.9 "" "S"
0 315 2 "Hart Mr. Benjamin" "male" 43 1 1 "F.C.C. 13529" 26.25 "" "S"
1 162 2 "Watt Mrs. James (Elizabeth ""Bessie"" Inglis Milne)" "female" 40 0 0 "C.A. 33595" 15.75 "" "S"
0 736 3 "Williams Mr. Leslie" "male" 28.5 0 0 "54636" 16.1 "" "S"
0 543 3 "Andersson Miss. Sigrid Elisabeth" "female" 11 4 2 "347082" 31.275 "" "S"
1 3 3 "Heikkinen Miss. Laina" "female" 26 0 0 "STON/O2. 3101282" 7.925 "" "S"
0 767 1 "Brewe Dr. Arthur Jackson" "male" NA 0 0 "112379" 39.6 "" "C"
0 533 3 "Elias Mr. Joseph Jr" "male" 17 1 1 "2690" 7.2292 "" "C"
0 598 3 "Johnson Mr. Alfred" "male" 49 0 0 "LINE" 0 "" "S"
0 667 2 "Butler Mr. Reginald Fenton" "male" 25 0 0 "234686" 13 "" "S"
1 335 1 "Frauenthal Mrs. Henry William (Clara Heinsheimer)" "female" NA 1 0 "PC 17611" 133.65 "" "S"
0 585 3 "Paulner Mr. Uscher" "male" NA 0 0 "3411" 8.7125 "" "C"
0 27 3 "Emir Mr. Farred Chehab" "male" NA 0 0 "2631" 7.225 "" "C"
0 564 3 "Simmons Mr. John" "male" NA 0 0 "SOTON/OQ 392082" 8.05 "" "S"
0 117 3 "Connors Mr. Patrick" "male" 70.5 0 0 "370369" 7.75 "" "Q"
0 834 3 "Augustsson Mr. Albert" "male" 23 0 0 "347468" 7.8542 "" "S"
1 461 1 "Anderson Mr. Harry" "male" 48 0 0 "19952" 26.55 "E12" "S"
1 395 3 "Sandstrom Mrs. Hjalmar (Agnes Charlotta Bengtsson)" "female" 24 0 2 "PP 9549" 16.7 "G6" "S"
1 82 3 "Sheerlinck Mr. Jan Baptist" "male" 29 0 0 "345779" 9.5 "" "S"
1 2 1 "Cumings Mrs. John Bradley (Florence Briggs Thayer)" "female" 38 1 0 "PC 17599" 71.2833 "C85" "C"
0 130 3 "Ekstrom Mr. Johan" "male" 45 0 0 "347061" 6.975 "" "S"
0 566 3 "Davies Mr. Alfred J" "male" 24 2 0 "A/4 48871" 24.15 "" "S"
1 480 3 "Hirvonen Miss. Hildur E" "female" 2 0 1 "3101298" 12.2875 "" "S"
1 456 3 "Jalsevac Mr. Ivan" "male" 29 0 0 "349240" 7.8958 "" "C"
0 528 1 "Farthing Mr. John" "male" NA 0 0 "PC 17483" 221.7792 "C95" "S"
0 72 3 "Goodwin Miss. Lillian Amy" "female" 16 5 2 "CA 2144" 46.9 "" "S"
1 308 1 "Penasco y Castellana Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo)" "female" 17 1 0 "PC 17758" 108.9 "C65" "C"
1 129 3 "Peter Miss. Anna" "female" NA 1 1 "2668" 22.3583 "F E69" "C"
1 550 2 "Davies Master. John Morgan Jr" "male" 8 1 1 "C.A. 33112" 36.75 "" "S"
0 773 2 "Mack Mrs. (Mary)" "female" 57 0 0 "S.O./P.P. 3" 10.5 "E77" "S"
1 347 2 "Smith Miss. Marion Elsie" "female" 40 0 0 "31418" 13 "" "S"
0 131 3 "Drazenoic Mr. Jozef" "male" 33 0 0 "349241" 7.8958 "" "C"
0 373 3 "Beavan Mr. William Thomas" "male" 19 0 0 "323951" 8.05 "" "S"
1 339 3 "Dahl Mr. Karl Edwart" "male" 45 0 0 "7598" 8.05 "" "S"
0 241 3 "Zabour Miss. Thamine" "female" NA 1 0 "2665" 14.4542 "" "C"
1 227 2 "Mellors Mr. William John" "male" 19 0 0 "SW/PP 751" 10.5 "" "S"
1 221 3 "Sunderland Mr. Victor Francis" "male" 16 0 0 "SOTON/OQ 392089" 8.05 "" "S"
0 350 3 "Dimic Mr. Jovan" "male" 42 0 0 "315088" 8.6625 "" "S"
0 164 3 "Calic Mr. Jovo" "male" 17 0 0 "315093" 8.6625 "" "S"
1 75 3 "Bing Mr. Lee" "male" 32 0 0 "1601" 56.4958 "" "S"
0 785 3 "Ali Mr. William" "male" 25 0 0 "SOTON/O.Q. 3101312" 7.05 "" "S"
1 560 3 "de Messemaeker Mrs. Guillaume Joseph (Emma)" "female" 36 1 0 "345572" 17.4 "" "S"
1 69 3 "Andersson Miss. Erna Alexandra" "female" 17 4 2 "3101281" 7.925 "" "S"
0 13 3 "Saundercock Mr. William Henry" "male" 20 0 0 "A/5. 2151" 8.05 "" "S"
1 519 2 "Angle Mrs. William A (Florence ""Mary"" Agnes Hughes)" "female" 36 1 0 "226875" 26 "" "S"
0 115 3 "Attalah Miss. Malake" "female" 17 0 0 "2627" 14.4583 "" "C"
0 565 3 "Meanwell Miss. (Marion Ogden)" "female" NA 0 0 "SOTON/O.Q. 392087" 8.05 "" "S"
0 659 2 "Eitemiller Mr. George Floyd" "male" 23 0 0 "29751" 13 "" "S"
1 185 3 "Kink-Heilmann Miss. Luise Gretchen" "female" 4 0 2 "315153" 22.025 "" "S"
0 375 3 "Palsson Miss. Stina Viola" "female" 3 3 1 "349909" 21.075 "" "S"
0 232 3 "Larsson Mr. Bengt Edvin" "male" 29 0 0 "347067" 7.775 "" "S"
1 248 2 "Hamalainen Mrs. William (Anna)" "female" 24 0 2 "250649" 14.5 "" "S"
0 421 3 "Gheorgheff Mr. Stanio" "male" NA 0 0 "349254" 7.8958 "" "C"
1 394 1 "Newell Miss. Marjorie" "female" 23 1 0 "35273" 113.275 "D36" "C"
1 616 2 "Herman Miss. Alice" "female" 24 1 2 "220845" 65 "" "S"
0 149 2 "Navratil Mr. Michel (""Louis M Hoffman"")" "male" 36.5 0 2 "230080" 26 "F2" "S"
1 292 1 "Bishop Mrs. Dickinson H (Helen Walton)" "female" 19 1 0 "11967" 91.0792 "B49" "C"
0 374 1 "Ringhini Mr. Sante" "male" 22 0 0 "PC 17760" 135.6333 "" "C"
1 623 3 "Nakid Mr. Sahid" "male" 20 1 1 "2653" 15.7417 "" "C"
0 759 3 "Theobald Mr. Thomas Leonard" "male" 34 0 0 "363294" 8.05 "" "S"
1 48 3 "O'Driscoll Miss. Bridget" "female" NA 0 0 "14311" 7.75 "" "Q"
0 224 3 "Nenkoff Mr. Christo" "male" NA 0 0 "349234" 7.8958 "" "S"
1 302 3 "McCoy Mr. Bernard" "male" NA 2 0 "367226" 23.25 "" "Q"
0 183 3 "Asplund Master. Clarence Gustaf Hugo" "male" 9 4 2 "347077" 31.3875 "" "S"
1 678 3 "Turja Miss. Anna Sofia" "female" 18 0 0 "4138" 9.8417 "" "S"
0 663 1 "Colley Mr. Edward Pomeroy" "male" 47 0 0 "5727" 25.5875 "E58" "S"
0 488 1 "Kent Mr. Edward Austin" "male" 58 0 0 "11771" 29.7 "B37" "C"
0 379 3 "Betros Mr. Tannous" "male" 20 0 0 "2648" 4.0125 "" "C"
0 776 3 "Myhrman Mr. Pehr Fabian Oliver Malkolm" "male" 18 0 0 "347078" 7.75 "" "S"
1 357 1 "Bowerman Miss. Elsie Edith" "female" 22 0 1 "113505" 55 "E33" "S"
1 454 1 "Goldenberg Mr. Samuel L" "male" 49 1 0 "17453" 89.1042 "C92" "C"
0 52 3 "Nosworthy Mr. Richard Cater" "male" 21 0 0 "A/4. 39886" 7.8 "" "S"
0 640 3 "Thorneycroft Mr. Percival" "male" NA 1 0 "376564" 16.1 "" "S"
0 325 3 "Sage Mr. George John Jr" "male" NA 8 2 "CA. 2343" 69.55 "" "S"
1 541 1 "Crosby Miss. Harriet R" "female" 36 0 2 "WE/P 5735" 71 "B22" "S"
0 442 3 "Hampe Mr. Leon" "male" 20 0 0 "345769" 9.5 "" "S"
0 363 3 "Barbara Mrs. (Catherine David)" "female" 45 0 1 "2691" 14.4542 "" "C"
0 334 3 "Vander Planke Mr. Leo Edmondus" "male" 16 2 0 "345764" 18 "" "S"
1 797 1 "Leader Dr. Alice (Farnham)" "female" 49 0 0 "17465" 25.9292 "D17" "S"
0 159 3 "Smiljanic Mr. Mile" "male" NA 0 0 "315037" 8.6625 "" "S"
0 226 3 "Berglund Mr. Karl Ivar Sven" "male" 22 0 0 "PP 4348" 9.35 "" "S"
0 669 3 "Cook Mr. Jacob" "male" 43 0 0 "A/5 3536" 8.05 "" "S"
1 636 2 "Davis Miss. Mary" "female" 28 0 0 "237668" 13 "" "S"
1 341 2 "Navratil Master. Edmond Roger" "male" 2 1 1 "230080" 26 "F2" "S"
1 306 1 "Allison Master. Hudson Trevor" "male" 0.92 1 2 "113781" 151.55 "C22 C26" "S"
0 106 3 "Mionoff Mr. Stoytcho" "male" 28 0 0 "349207" 7.8958 "" "S"
0 253 1 "Stead Mr. William Thomas" "male" 62 0 0 "113514" 26.55 "C87" "S"
0 139 3 "Osen Mr. Olaf Elon" "male" 16 0 0 "7534" 9.2167 "" "S"
0 133 3 "Robins Mrs. Alexander A (Grace Charity Laury)" "female" 47 1 0 "A/5. 3337" 14.5 "" "S"
1 652 2 "Doling Miss. Elsie" "female" 18 0 1 "231919" 23 "" "S"
0 414 2 "Cunningham Mr. Alfred Fleming" "male" NA 0 0 "239853" 0 "" "S"
0 811 3 "Alexander Mr. William" "male" 26 0 0 "3474" 7.8875 "" "S"
1 551 1 "Thayer Mr. John Borland Jr" "male" 17 0 2 "17421" 110.8833 "C70" "C"
0 378 1 "Widener Mr. Harry Elkins" "male" 27 0 2 "113503" 211.5 "C82" "C"
1 578 1 "Silvey Mrs. William Baird (Alice Munger)" "female" 39 1 0 "13507" 55.9 "E44" "S"
0 279 3 "Rice Master. Eric" "male" 7 4 1 "382652" 29.125 "" "Q"
0 493 1 "Molson Mr. Harry Markland" "male" 55 0 0 "113787" 30.5 "C30" "S"
0 286 3 "Stankovic Mr. Ivan" "male" 33 0 0 "349239" 8.6625 "" "C"
0 123 2 "Nasser Mr. Nicholas" "male" 32.5 1 0 "237736" 30.0708 "" "C"
0 175 1 "Smith Mr. James Clinch" "male" 56 0 0 "17764" 30.6958 "A7" "C"
1 391 1 "Carter Mr. William Ernest" "male" 36 1 2 "113760" 120 "B96 B98" "S"
1 511 3 "Daly Mr. Eugene Patrick" "male" 29 0 0 "382651" 7.75 "" "Q"
1 802 2 "Collyer Mrs. Harvey (Charlotte Annie Tate)" "female" 31 1 1 "C.A. 31921" 26.25 "" "S"
1 346 2 "Brown Miss. Amelia ""Mildred""" "female" 24 0 0 "248733" 13 "F33" "S"
1 142 3 "Nysten Miss. Anna Sofia" "female" 22 0 0 "347081" 7.75 "" "S"
0 568 3 "Palsson Mrs. Nils (Alma Cornelia Berglund)" "female" 29 0 4 "349909" 21.075 "" "S"
0 817 3 "Heininen Miss. Wendla Maria" "female" 23 0 0 "STON/O2. 3101290" 7.925 "" "S"
0 847 3 "Sage Mr. Douglas Bullen" "male" NA 8 2 "CA. 2343" 69.55 "" "S"
1 417 2 "Drew Mrs. James Vivian (Lulu Thorne Christian)" "female" 34 1 1 "28220" 32.5 "" "S"
1 766 1 "Hogeboom Mrs. John C (Anna Andrews)" "female" 51 1 0 "13502" 77.9583 "D11" "S"
1 408 2 "Richards Master. William Rowe" "male" 3 1 1 "29106" 18.75 "" "S"
0 103 1 "White Mr. Richard Frasar" "male" 21 0 1 "35281" 77.2875 "D26" "S"
0 266 2 "Reeves Mr. David" "male" 36 0 0 "C.A. 17248" 10.5 "" "S"
0 737 3 "Ford Mrs. Edward (Margaret Ann Watson)" "female" 48 1 3 "W./C. 6608" 34.375 "" "S"
1 26 3 "Asplund Mrs. Carl Oscar (Selma Augusta Emilia Johansson)" "female" 38 1 5 "347077" 31.3875 "" "S"
0 679 3 "Goodwin Mrs. Frederick (Augusta Tyler)" "female" 43 1 6 "CA 2144" 46.9 "" "S"
0 774 3 "Elias Mr. Dibo" "male" NA 0 0 "2674" 7.225 "" "C"
1 538 1 "LeRoy Miss. Bertha" "female" 30 0 0 "PC 17761" 106.425 "" "C"
0 198 3 "Olsen Mr. Karl Siegwart Andreas" "male" 42 0 1 "4579" 8.4042 "" "S"
0 818 2 "Mallet Mr. Albert" "male" 31 1 1 "S.C./PARIS 2079" 37.0042 "" "C"
1 143 3 "Hakkarainen Mrs. Pekka Pietari (Elin Matilda Dolck)" "female" 24 1 0 "STON/O2. 3101279" 15.85 "" "S"
1 782 1 "Dick Mrs. Albert Adrian (Vera Gillespie)" "female" 17 1 0 "17474" 57 "B20" "S"
0 51 3 "Panula Master. Juha Niilo" "male" 7 4 1 "3101295" 39.6875 "" "S"
1 12 1 "Bonnell Miss. Elizabeth" "female" 58 0 0 "113783" 26.55 "C103" "S"
0 595 2 "Chapman Mr. John Henry" "male" 37 1 0 "SC/AH 29037" 26 "" "S"
1 513 1 "McGough Mr. James Robert" "male" 36 0 0 "PC 17473" 26.2875 "E25" "S"
1 610 1 "Shutes Miss. Elizabeth W" "female" 40 0 0 "PC 17582" 153.4625 "C125" "S"
1 304 2 "Keane Miss. Nora A" "female" NA 0 0 "226593" 12.35 "E101" "Q"
1 323 2 "Slayter Miss. Hilda Mary" "female" 30 0 0 "234818" 12.35 "" "Q"
1 280 3 "Abbott Mrs. Stanton (Rosa Hunt)" "female" 35 1 1 "C.A. 2673" 20.25 "" "S"
0 397 3 "Olsson Miss. Elina" "female" 31 0 0 "350407" 7.8542 "" "S"
0 886 3 "Rice Mrs. William (Margaret Norton)" "female" 39 0 5 "382652" 29.125 "" "Q"
1 682 1 "Hassab Mr. Hammad" "male" 27 0 0 "PC 17572" 76.7292 "D49" "C"
0 38 3 "Cann Mr. Ernest Charles" "male" 21 0 0 "A./5. 2152" 8.05 "" "S"
0 696 2 "Chapman Mr. Charles Henry" "male" 52 0 0 "248731" 13.5 "" "S"
1 231 1 "Harris Mrs. Henry Birkhardt (Irene Wallach)" "female" 35 1 0 "36973" 83.475 "C83" "S"
0 681 3 "Peters Miss. Katie" "female" NA 0 0 "330935" 8.1375 "" "Q"
1 310 1 "Francatelli Miss. Laura Mabel" "female" 30 0 0 "PC 17485" 56.9292 "E36" "C"
1 348 3 "Davison Mrs. Thomas Henry (Mary E Finck)" "female" NA 1 0 "386525" 16.1 "" "S"
0 758 2 "Bailey Mr. Percy Andrew" "male" 18 0 0 "29108" 11.5 "" "S"
1 633 1 "Stahelin-Maeglin Dr. Max" "male" 32 0 0 "13214" 30.5 "B50" "C"
0 793 3 "Sage Miss. Stella Anna" "female" NA 8 2 "CA. 2343" 69.55 "" "S"
1 605 1 "Homer Mr. Harry (""Mr E Haven"")" "male" 35 0 0 "111426" 26.55 "" "C"
0 491 3 "Hagland Mr. Konrad Mathias Reiersen" "male" NA 1 0 "65304" 19.9667 "" "S"
1 613 3 "Murphy Miss. Margaret Jane" "female" NA 1 0 "367230" 15.5 "" "Q"
1 16 2 "Hewlett Mrs. (Mary D Kingcome) " "female" 55 0 0 "248706" 16 "" "S"
0 288 3 "Naidenoff Mr. Penko" "male" 22 0 0 "349206" 7.8958 "" "S"
1 619 2 "Becker Miss. Marion Louise" "female" 4 2 1 "230136" 39 "F4" "S"
1 59 2 "West Miss. Constance Mirium" "female" 5 1 2 "C.A. 34651" 27.75 "" "S"
1 276 1 "Andrews Miss. Kornelia Theodosia" "female" 63 1 0 "13502" 77.9583 "D7" "S"
0 750 3 "Connaghton Mr. Michael" "male" 31 0 0 "335097" 7.75 "" "Q"
0 733 2 "Knight Mr. Robert J" "male" NA 0 0 "239855" 0 "" "S"
0 471 3 "Keefe Mr. Arthur" "male" NA 0 0 "323592" 7.25 "" "S"
0 247 3 "Lindahl Miss. Agda Thorilda Viktoria" "female" 25 0 0 "347071" 7.775 "" "S"
1 205 3 "Cohen Mr. Gurshon ""Gus""" "male" 18 0 0 "A/5 3540" 8.05 "" "S"
1 98 1 "Greenfield Mr. William Bertram" "male" 23 0 1 "PC 17759" 63.3583 "D10 D12" "C"
0 318 2 "Moraweck Dr. Ernest" "male" 54 0 0 "29011" 14 "" "S"
0 91 3 "Christmann Mr. Emil" "male" 29 0 0 "343276" 8.05 "" "S"
0 783 1 "Long Mr. Milton Clyde" "male" 29 0 0 "113501" 30 "D6" "S"
0 76 3 "Moen Mr. Sigurd Hansen" "male" 25 0 0 "348123" 7.65 "F G73" "S"
0 506 1 "Penasco y Castellana Mr. Victor de Satode" "male" 18 1 0 "PC 17758" 108.9 "C65" "C"
0 43 3 "Kraeff Mr. Theodor" "male" NA 0 0 "349253" 7.8958 "" "C"
1 867 2 "Duran y More Miss. Asuncion" "female" 27 1 0 "SC/PARIS 2149" 13.8583 "" "C"
0 606 3 "Lindell Mr. Edvard Bengtsson" "male" 36 1 0 "349910" 15.55 "" "S"
1 62 1 "Icard Miss. Amelie" "female" 38 0 0 "113572" 80 "B28" ""
1 134 2 "Weisz Mrs. Leopold (Mathilde Francoise Pede)" "female" 29 1 0 "228414" 26 "" "S"
0 762 3 "Nirva Mr. Iisakki Antino Aijo" "male" 41 0 0 "SOTON/O2 3101272" 7.125 "" "S"
1 195 1 "Brown Mrs. James Joseph (Margaret Tobin)" "female" 44 0 0 "PC 17610" 27.7208 "B4" "C"
0 720 3 "Johnson Mr. Malkolm Joackim" "male" 33 0 0 "347062" 7.775 "" "S"
0 583 2 "Downton Mr. William James" "male" 54 0 0 "28403" 26 "" "S"
0 483 3 "Rouse Mr. Richard Henry" "male" 50 0 0 "A/5 3594" 8.05 "" "S"
0 396 3 "Johansson Mr. Erik" "male" 22 0 0 "350052" 7.7958 "" "S"
0 100 2 "Kantor Mr. Sinai" "male" 34 1 0 "244367" 26 "" "S"
0 772 3 "Jensen Mr. Niels Peder" "male" 48 0 0 "350047" 7.8542 "" "S"
0 81 3 "Waelens Mr. Achille" "male" 22 0 0 "345767" 9 "" "S"
1 188 1 "Romaine Mr. Charles Hallace (""Mr C Rolmane"")" "male" 45 0 0 "111428" 26.55 "" "S"
0 576 3 "Patchett Mr. George" "male" 19 0 0 "358585" 14.5 "" "S"
1 324 2 "Caldwell Mrs. Albert Francis (Sylvia Mae Harbaugh)" "female" 22 1 1 "248738" 29 "" "S"
1 427 2 "Clarke Mrs. Charles V (Ada Maria Winfield)" "female" 28 1 0 "2003" 26 "" "S"
1 586 1 "Taussig Miss. Ruth" "female" 18 0 2 "110413" 79.65 "E68" "S"
1 557 1 "Duff Gordon Lady. (Lucille Christiana Sutherland) (""Mrs Morgan"")" "female" 48 1 0 "11755" 39.6 "A16" "C"
1 572 1 "Appleton Mrs. Edward Dale (Charlotte Lamson)" "female" 53 2 0 "11769" 51.4792 "C101" "S"
0 96 3 "Shorney Mr. Charles Joseph" "male" NA 0 0 "374910" 8.05 "" "S"
1 713 1 "Taylor Mr. Elmer Zebley" "male" 48 1 0 "19996" 52 "C126" "S"
0 141 3 "Boulos Mrs. Joseph (Sultana)" "female" NA 0 2 "2678" 15.2458 "" "C"
0 55 1 "Ostby Mr. Engelhart Cornelius" "male" 65 0 1 "113509" 61.9792 "B30" "C"
1 368 3 "Moussa Mrs. (Mantoura Boulos)" "female" NA 0 0 "2626" 7.2292 "" "C"
0 387 3 "Goodwin Master. Sidney Leonard" "male" 1 5 2 "CA 2144" 46.9 "" "S"
1 376 1 "Meyer Mrs. Edgar Joseph (Leila Saks)" "female" NA 1 0 "PC 17604" 82.1708 "" "C"
1 194 2 "Navratil Master. Michel M" "male" 3 1 1 "230080" 26 "F2" "S"
0 643 3 "Skoog Miss. Margit Elizabeth" "female" 2 3 2 "347088" 27.9 "" "S"
1 44 2 "Laroche Miss. Simonne Marie Anne Andree" "female" 3 1 2 "SC/Paris 2123" 41.5792 "" "C"
1 40 3 "Nicola-Yarred Miss. Jamila" "female" 14 1 0 "2651" 11.2417 "" "C"
1 588 1 "Frolicher-Stehli Mr. Maxmillian" "male" 60 1 1 "13567" 79.2 "B41" "C"
0 380 3 "Gustafsson Mr. Karl Gideon" "male" 19 0 0 "347069" 7.775 "" "S"
0 423 3 "Zimmerman Mr. Leo" "male" 29 0 0 "315082" 7.875 "" "S"
1 600 1 "Duff Gordon Sir. Cosmo Edmund (""Mr Morgan"")" "male" 49 1 0 "PC 17485" 56.9292 "A20" "C"
0 542 3 "Andersson Miss. Ingeborg Constanzia" "female" 9 4 2 "347082" 31.275 "" "S"
0 535 3 "Cacic Miss. Marija" "female" 30 0 0 "315084" 8.6625 "" "S"
1 804 3 "Thomas Master. Assad Alexander" "male" 0.42 0 1 "2625" 8.5167 "" "C"
1 866 2 "Bystrom Mrs. (Karolina)" "female" 42 0 0 "236852" 13 "" "S"
0 504 3 "Laitinen Miss. Kristina Sofia" "female" 37 0 0 "4135" 9.5875 "" "S"
0 647 3 "Cor Mr. Liudevit" "male" 19 0 0 "349231" 7.8958 "" "S"
0 749 1 "Marvin Mr. Daniel Warner" "male" 19 1 0 "113773" 53.1 "D30" "S"
1 821 1 "Hays Mrs. Charles Melville (Clara Jennings Gregg)" "female" 52 1 1 "12749" 93.5 "B69" "S"
1 787 3 "Sjoblom Miss. Anna Sofia" "female" 18 0 0 "3101265" 7.4958 "" "S"
1 184 2 "Becker Master. Richard F" "male" 1 2 1 "230136" 39 "F4" "S"
0 852 3 "Svensson Mr. Johan" "male" 74 0 0 "347060" 7.775 "" "S"
0 558 1 "Robbins Mr. Victor" "male" NA 0 0 "PC 17757" 227.525 "" "C"
0 163 3 "Bengtsson Mr. John Viktor" "male" 26 0 0 "347068" 7.775 "" "S"
0 455 3 "Peduzzi Mr. Joseph" "male" NA 0 0 "A/5 2817" 8.05 "" "S"
0 220 2 "Harris Mr. Walter" "male" 30 0 0 "W/C 14208" 10.5 "" "S"
0 245 3 "Attalah Mr. Sleiman" "male" 30 0 0 "2694" 7.225 "" "C"
0 422 3 "Charters Mr. David" "male" 21 0 0 "A/5. 13032" 7.7333 "" "Q"
0 884 2 "Banfield Mr. Frederick James" "male" 28 0 0 "C.A./SOTON 34068" 10.5 "" "S"
0 453 1 "Foreman Mr. Benjamin Laventall" "male" 30 0 0 "113051" 27.75 "C111" "C"
0 841 3 "Alhomaki Mr. Ilmari Rudolf" "male" 20 0 0 "SOTON/O2 3101287" 7.925 "" "S"
0 264 1 "Harrison Mr. William" "male" 40 0 0 "112059" 0 "B94" "S"
1 381 1 "Bidois Miss. Rosalie" "female" 42 0 0 "PC 17757" 227.525 "" "C"
1 24 1 "Sloper Mr. William Thompson" "male" 28 0 0 "113788" 35.5 "A6" "S"
1 708 1 "Calderhead Mr. Edward Pennington" "male" 42 0 0 "PC 17476" 26.2875 "E24" "S"
0 15 3 "Vestrom Miss. Hulda Amanda Adolfina" "female" 14 0 0 "350406" 7.8542 "" "S"
0 703 3 "Barbara Miss. Saiide" "female" 18 0 1 "2691" 14.4542 "" "C"
0 549 3 "Goldsmith Mr. Frank John" "male" 33 1 1 "363291" 20.525 "" "S"
1 54 2 "Faunthorpe Mrs. Lizzie (Elizabeth Anne Wilkinson)" "female" 29 1 0 "2926" 26 "" "S"
0 495 3 "Stanley Mr. Edward Roland" "male" 21 0 0 "A/4 45380" 8.05 "" "S"
0 686 2 "Laroche Mr. Joseph Philippe Lemercier" "male" 25 1 2 "SC/Paris 2123" 41.5792 "" "C"
0 116 3 "Pekoniemi Mr. Edvard" "male" 21 0 0 "STON/O 2. 3101294" 7.925 "" "S"
0 105 3 "Gustafsson Mr. Anders Vilhelm" "male" 37 2 0 "3101276" 7.925 "" "S"
1 738 1 "Lesurer Mr. Gustave J" "male" 35 0 0 "PC 17755" 512.3292 "B101" "C"
1 798 3 "Osman Mrs. Mara" "female" 31 0 0 "349244" 8.6833 "" "S"
0 615 3 "Brocklebank Mr. William Alfred" "male" 35 0 0 "364512" 8.05 "" "S"
0 815 3 "Tomlin Mr. Ernest Portage" "male" 30.5 0 0 "364499" 8.05 "" "S"
0 161 3 "Cribb Mr. John Hatfield" "male" 44 0 1 "371362" 16.1 "" "S"
1 863 1 "Swift Mrs. Frederick Joel (Margaret Welles Barron)" "female" 48 0 0 "17466" 25.9292 "D17" "S"
1 574 3 "Kelly Miss. Mary" "female" NA 0 0 "14312" 7.75 "" "Q"
0 498 3 "Shellard Mr. Frederick William" "male" NA 0 0 "C.A. 6212" 15.1 "" "S"
0 58 3 "Novel Mr. Mansouer" "male" 28.5 0 0 "2697" 7.2292 "" "C"
0 237 2 "Hold Mr. Stephen" "male" 44 1 0 "26707" 26 "" "S"
0 882 3 "Markun Mr. Johann" "male" 33 0 0 "349257" 7.8958 "" "S"
0 788 3 "Rice Master. George Hugh" "male" 8 4 1 "382652" 29.125 "" "Q"
1 693 3 "Lam Mr. Ali" "male" NA 0 0 "1601" 56.4958 "" "S"
0 673 2 "Mitchell Mr. Henry Michael" "male" 70 0 0 "C.A. 24580" 10.5 "" "S"
0 478 3 "Braund Mr. Lewis Richard" "male" 29 1 0 "3460" 7.0458 "" "S"
0 322 3 "Danoff Mr. Yoto" "male" 27 0 0 "349219" 7.8958 "" "S"
0 800 3 "Van Impe Mrs. Jean Baptiste (Rosalie Paula Govaert)" "female" 30 1 1 "345773" 24.15 "" "S"
0 739 3 "Ivanoff Mr. Kanio" "male" NA 0 0 "349201" 7.8958 "" "S"
0 1 3 "Braund Mr. Owen Harris" "male" 22 1 0 "A/5 21171" 7.25 "" "S"
0 883 3 "Dahlberg Miss. Gerda Ulrika" "female" 22 0 0 "7552" 10.5167 "" "S"
0 546 1 "Nicholson Mr. Arthur Ernest" "male" 64 0 0 "693" 26 "" "S"
1 756 2 "Hamalainen Master. Viljo" "male" 0.67 1 1 "250649" 14.5 "" "S"
0 501 3 "Calic Mr. Petar" "male" 17 0 0 "315086" 8.6625 "" "S"
0 35 1 "Meyer Mr. Edgar Joseph" "male" 28 1 0 "PC 17604" 82.1708 "" "C"
0 156 1 "Williams Mr. Charles Duane" "male" 51 0 1 "PC 17597" 61.3792 "" "C"
1 212 2 "Cameron Miss. Clear Annie" "female" 35 0 0 "F.C.C. 13528" 21 "" "S"
0 704 3 "Gallagher Mr. Martin" "male" 25 0 0 "36864" 7.7417 "" "Q"
0 877 3 "Gustafsson Mr. Alfred Ossian" "male" 20 0 0 "7534" 9.8458 "" "S"
0 719 3 "McEvoy Mr. Michael" "male" NA 0 0 "36568" 15.5 "" "Q"
1 474 2 "Jerwan Mrs. Amin S (Marie Marthe Thuillard)" "female" 23 0 0 "SC/AH Basle 541" 13.7917 "D" "C"
1 870 3 "Johnson Master. Harold Theodor" "male" 4 1 1 "347742" 11.1333 "" "S"
0 71 2 "Jenkin Mr. Stephen Curnow" "male" 32 0 0 "C.A. 33111" 10.5 "" "S"
0 353 3 "Elias Mr. Tannous" "male" 15 1 1 "2695" 7.2292 "" "C"
1 301 3 "Kelly Miss. Anna Katherine ""Annie Kate""" "female" NA 0 0 "9234" 7.75 "" "Q"
0 489 3 "Somerton Mr. Francis William" "male" 30 0 0 "A.5. 18509" 8.05 "" "S"
0 627 2 "Kirkland Rev. Charles Leonard" "male" 57 0 0 "219533" 12.35 "" "Q"
0 522 3 "Vovk Mr. Janko" "male" 22 0 0 "349252" 7.8958 "" "S"
1 527 2 "Ridsdale Miss. Lucy" "female" 50 0 0 "W./C. 14258" 10.5 "" "S"
0 638 2 "Collyer Mr. Harvey" "male" 31 1 1 "C.A. 31921" 26.25 "" "S"
0 340 1 "Blackwell Mr. Stephen Weart" "male" 45 0 0 "113784" 35.5 "T" "S"
1 830 1 "Stone Mrs. George Nelson (Martha Evelyn)" "female" 62 0 0 "113572" 80 "B28" ""
0 525 3 "Kassem Mr. Fared" "male" NA 0 0 "2700" 7.2292 "" "C"
0 111 1 "Porter Mr. Walter Chamberlain" "male" 47 0 0 "110465" 52 "C110" "S"
0 796 2 "Otter Mr. Richard" "male" 39 0 0 "28213" 13 "" "S"
0 140 1 "Giglio Mr. Victor" "male" 24 0 0 "PC 17593" 79.2 "B86" "C"
0 844 3 "Lemberopolous Mr. Peter L" "male" 34.5 0 0 "2683" 6.4375 "" "C"
0 92 3 "Andreasson Mr. Paul Edvin" "male" 20 0 0 "347466" 7.8542 "" "S"
0 770 3 "Gronnestad Mr. Daniel Danielsen" "male" 32 0 0 "8471" 8.3625 "" "S"
0 715 2 "Greenberg Mr. Samuel" "male" 52 0 0 "250647" 13 "" "S"
0 849 2 "Harper Rev. John" "male" 28 0 1 "248727" 33 "" "S"
0 864 3 "Sage Miss. Dorothy Edith ""Dolly""" "female" NA 8 2 "CA. 2343" 69.55 "" "S"
0 305 3 "Williams Mr. Howard Hugh ""Harry""" "male" NA 0 0 "A/5 2466" 8.05 "" "S"
1 709 1 "Cleaver Miss. Alice" "female" 22 0 0 "113781" 151.55 "" "S"
1 449 3 "Baclini Miss. Marie Catherine" "female" 5 2 1 "2666" 19.2583 "" "C"
1 216 1 "Newell Miss. Madeleine" "female" 31 1 0 "35273" 113.275 "D36" "C"
1 430 3 "Pickard Mr. Berk (Berk Trembisky)" "male" 32 0 0 "SOTON/O.Q. 392078" 8.05 "E10" "S"
0 203 3 "Johanson Mr. Jakob Alfred" "male" 34 0 0 "3101264" 6.4958 "" "S"
1 284 3 "Dorking Mr. Edward Arthur" "male" 19 0 0 "A/5. 10482" 8.05 "" "S"
1 822 3 "Lulic Mr. Nikola" "male" 27 0 0 "315098" 8.6625 "" "S"
0 792 2 "Gaskell Mr. Alfred" "male" 16 0 0 "239865" 26 "" "S"
1 370 1 "Aubart Mme. Leontine Pauline" "female" 24 0 0 "PC 17477" 69.3 "B35" "C"
0 233 2 "Sjostedt Mr. Ernst Adolf" "male" 59 0 0 "237442" 13.5 "" "S"
0 25 3 "Palsson Miss. Torborg Danira" "female" 8 3 1 "349909" 21.075 "" "S"
0 653 3 "Kalvik Mr. Johannes Halvorsen" "male" 21 0 0 "8475" 8.4333 "" "S"
1 289 2 "Hosono Mr. Masabumi" "male" 42 0 0 "237798" 13 "" "S"
1 473 2 "West Mrs. Edwy Arthur (Ada Mary Worth)" "female" 33 1 2 "C.A. 34651" 27.75 "" "S"
0 523 3 "Lahoud Mr. Sarkis" "male" NA 0 0 "2624" 7.225 "" "C"
0 6 3 "Moran Mr. James" "male" NA 0 0 "330877" 8.4583 "" "Q"
0 153 3 "Meo Mr. Alfonzo" "male" 55.5 0 0 "A.5. 11206" 8.05 "" "S"
1 260 2 "Parrish Mrs. (Lutie Davis)" "female" 50 0 1 "230433" 26 "" "S"
0 672 1 "Davidson Mr. Thornton" "male" 31 1 0 "F.C. 12750" 52 "B71" "S"
0 868 1 "Roebling Mr. Washington Augustus II" "male" 31 0 0 "PC 17590" 50.4958 "A24" "S"
0 17 3 "Rice Master. Eugene" "male" 2 4 1 "382652" 29.125 "" "Q"
1 147 3 "Andersson Mr. August Edvard (""Wennerstrom"")" "male" 27 0 0 "350043" 7.7958 "" "S"
1 581 2 "Christy Miss. Julie Rachel" "female" 25 1 1 "237789" 30 "" "S"
0 732 3 "Hassan Mr. Houssein G N" "male" 11 0 0 "2699" 18.7875 "" "C"
0 356 3 "Vanden Steen Mr. Leo Peter" "male" 28 0 0 "345783" 9.5 "" "S"
0 372 3 "Wiklund Mr. Jakob Alfred" "male" 18 1 0 "3101267" 6.4958 "" "S"
0 94 3 "Dean Mr. Bertram Frank" "male" 26 1 2 "C.A. 2315" 20.575 "" "S"
0 791 3 "Keane Mr. Andrew ""Andy""" "male" NA 0 0 "12460" 7.75 "" "Q"
1 167 1 "Chibnall Mrs. (Edith Martha Bowerman)" "female" NA 0 1 "113505" 55 "E33" "S"
0 297 3 "Hanna Mr. Mansour" "male" 23.5 0 0 "2693" 7.2292 "" "C"
0 632 3 "Lundahl Mr. Johan Svensson" "male" 51 0 0 "347743" 7.0542 "" "S"
0 801 2 "Ponesell Mr. Martin" "male" 34 0 0 "250647" 13 "" "S"
0 569 3 "Doharr Mr. Tannous" "male" NA 0 0 "2686" 7.2292 "" "C"
0 664 3 "Coleff Mr. Peju" "male" 36 0 0 "349210" 7.4958 "" "S"
1 330 1 "Hippach Miss. Jean Gertrude" "female" 16 0 1 "111361" 57.9792 "B18" "C"
1 642 1 "Sagesser Mlle. Emma" "female" 24 0 0 "PC 17477" 69.3 "B35" "C"
0 398 2 "McKane Mr. Peter David" "male" 46 0 0 "28403" 26 "" "S"
0 700 3 "Humblen Mr. Adolf Mathias Nicolai Olsen" "male" 42 0 0 "348121" 7.65 "F G63" "S"
0 78 3 "Moutal Mr. Rahamin Haim" "male" NA 0 0 "374746" 8.05 "" "S"
0 699 1 "Thayer Mr. John Borland" "male" 49 1 1 "17421" 110.8833 "C68" "C"
1 428 2 "Phillips Miss. Kate Florence (""Mrs Kate Louise Phillips Marshall"")" "female" 19 0 0 "250655" 26 "" "S"
0 70 3 "Kink Mr. Vincenz" "male" 26 2 0 "315151" 8.6625 "" "S"
0 846 3 "Abbing Mr. Anthony" "male" 42 0 0 "C.A. 5547" 7.55 "" "S"
0 768 3 "Mangan Miss. Mary" "female" 30.5 0 0 "364850" 7.75 "" "Q"
1 646 1 "Harper Mr. Henry Sleeper" "male" 48 1 0 "PC 17572" 76.7292 "D33" "C"
1 497 1 "Eustis Miss. Elizabeth Mussey" "female" 54 1 0 "36947" 78.2667 "D20" "C"
0 617 3 "Danbom Mr. Ernst Gilbert" "male" 34 1 1 "347080" 14.4 "" "S"
0 181 3 "Sage Miss. Constance Gladys" "female" NA 8 2 "CA. 2343" 69.55 "" "S"
0 65 1 "Stewart Mr. Albert A" "male" NA 0 0 "PC 17605" 27.7208 "" "C"
0 779 3 "Kilgannon Mr. Thomas J" "male" NA 0 0 "36865" 7.7375 "" "Q"
1 342 1 "Fortune Miss. Alice Elizabeth" "female" 24 3 2 "19950" 263 "C23 C25 C27" "S"
0 553 3 "O'Brien Mr. Timothy" "male" NA 0 0 "330979" 7.8292 "" "Q"
0 207 3 "Backstrom Mr. Karl Alfred" "male" 32 1 0 "3101278" 15.85 "" "S"
1 319 1 "Wick Miss. Mary Natalie" "female" 31 0 2 "36928" 164.8667 "C7" "S"
0 358 2 "Funk Miss. Annie Clemmer" "female" 38 0 0 "237671" 13 "" "S"
0 178 1 "Isham Miss. Ann Elizabeth" "female" 50 0 0 "PC 17595" 28.7125 "C49" "C"
0 213 3 "Perkin Mr. John Henry" "male" 22 0 0 "A/5 21174" 7.25 "" "S"
0 462 3 "Morley Mr. William" "male" 34 0 0 "364506" 8.05 "" "S"
0 170 3 "Ling Mr. Lee" "male" 28 0 0 "1601" 56.4958 "" "S"
0 865 2 "Gill Mr. John William" "male" 24 0 0 "233866" 13 "" "S"
1 217 3 "Honkanen Miss. Eliina" "female" 27 0 0 "STON/O2. 3101283" 7.925 "" "S"
1 66 3 "Moubarek Master. Gerios" "male" NA 1 1 "2661" 15.2458 "" "C"
0 389 3 "Sadlier Mr. Matthew" "male" NA 0 0 "367655" 7.7292 "" "Q"
0 293 2 "Levy Mr. Rene Jacques" "male" 36 0 0 "SC/Paris 2163" 12.875 "D" "C"
0 214 2 "Givard Mr. Hans Kristensen" "male" 30 0 0 "250646" 13 "" "S"
1 326 1 "Young Miss. Marie Grice" "female" 36 0 0 "PC 17760" 135.6333 "C32" "C"
0 283 3 "de Pelsmaeker Mr. Alfons" "male" 16 0 0 "345778" 9.5 "" "S"
0 481 3 "Goodwin Master. Harold Victor" "male" 9 5 2 "CA 2144" 46.9 "" "S"
0 192 2 "Carbines Mr. William" "male" 19 0 0 "28424" 13 "" "S"
0 345 2 "Fox Mr. Stanley Hubert" "male" 36 0 0 "229236" 13 "" "S"
1 609 2 "Laroche Mrs. Joseph (Juliette Marie Louise Lafargue)" "female" 22 1 2 "SC/Paris 2123" 41.5792 "" "C"
0 660 1 "Newell Mr. Arthur Webster" "male" 58 0 2 "35273" 113.275 "D48" "C"
1 85 2 "Ilett Miss. Bertha" "female" 17 0 0 "SO/C 14885" 10.5 "" "S"
1 521 1 "Perreault Miss. Anne" "female" 30 0 0 "12749" 93.5 "B73" "S"
1 644 3 "Foo Mr. Choong" "male" NA 0 0 "1601" 56.4958 "" "S"
1 831 3 "Yasbeck Mrs. Antoni (Selini Alexander)" "female" 15 1 0 "2659" 14.4542 "" "C"
1 Survived PassengerId Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked
2 0 530 2 Hocking Mr. Richard George male 23 2 1 29104 11.5 S
3 0 466 3 Goncalves Mr. Manuel Estanslas male 38 0 0 SOTON/O.Q. 3101306 7.05 S
4 0 753 3 Vande Velde Mr. Johannes Joseph male 33 0 0 345780 9.5 S
5 0 855 2 Carter Mrs. Ernest Courtenay (Lilian Hughes) female 44 1 0 244252 26 S
6 0 333 1 Graham Mr. George Edward male 38 0 1 PC 17582 153.4625 C91 S
7 0 39 3 Vander Planke Miss. Augusta Maria female 18 2 0 345764 18 S
8 0 236 3 Harknett Miss. Alice Phoebe female NA 0 0 W./C. 6609 7.55 S
9 0 303 3 Johnson Mr. William Cahoone Jr male 19 0 0 LINE 0 S
10 1 18 2 Williams Mr. Charles Eugene male NA 0 0 244373 13 S
11 1 505 1 Maioni Miss. Roberta female 16 0 0 110152 86.5 B79 S
12 1 670 1 Taylor Mrs. Elmer Zebley (Juliet Cummins Wright) female NA 1 0 19996 52 C126 S
13 1 316 3 Nilsson Miss. Helmina Josefina female 26 0 0 347470 7.8542 S
14 1 690 1 Madill Miss. Georgette Alexandra female 15 0 1 24160 211.3375 B5 S
15 1 718 2 Troutt Miss. Edwina Celia "Winnie" female 27 0 0 34218 10.5 E101 S
16 1 580 3 Jussila Mr. Eiriik male 32 0 0 STON/O 2. 3101286 7.925 S
17 0 697 3 Kelly Mr. James male 44 0 0 363592 8.05 S
18 1 193 3 Andersen-Jensen Miss. Carla Christine Nielsine female 19 1 0 350046 7.8542 S
19 0 634 1 Parr Mr. William Henry Marsh male NA 0 0 112052 0 S
20 1 858 1 Daly Mr. Peter Denis male 51 0 0 113055 26.55 E17 S
21 1 329 3 Goldsmith Mrs. Frank John (Emily Alice Brown) female 31 1 1 363291 20.525 S
22 0 784 3 Johnston Mr. Andrew G male NA 1 2 W./C. 6607 23.45 S
23 0 407 3 Widegren Mr. Carl/Charles Peter male 51 0 0 347064 7.75 S
24 0 747 3 Abbott Mr. Rossmore Edward male 16 1 1 C.A. 2673 20.25 S
25 0 492 3 Windelov Mr. Einar male 21 0 0 SOTON/OQ 3101317 7.25 S
26 1 534 3 Peter Mrs. Catherine (Catherine Rizk) female NA 0 2 2668 22.3583 C
27 0 862 2 Giles Mr. Frederick Edward male 21 1 0 28134 11.5 S
28 0 724 2 Hodges Mr. Henry Price male 50 0 0 250643 13 S
29 0 685 2 Brown Mr. Thomas William Solomon male 60 1 1 29750 39 S
30 0 344 2 Sedgwick Mr. Charles Frederick Waddington male 25 0 0 244361 13 S
31 1 751 2 Wells Miss. Joan female 4 1 1 29103 23 S
32 0 734 2 Berriman Mr. William John male 23 0 0 28425 13 S
33 0 496 3 Yousseff Mr. Gerious male NA 0 0 2627 14.4583 C
34 0 296 1 Lewy Mr. Ervin G male NA 0 0 PC 17612 27.7208 C
35 0 516 1 Walker Mr. William Anderson male 47 0 0 36967 34.0208 D46 S
36 0 282 3 Olsson Mr. Nils Johan Goransson male 28 0 0 347464 7.8542 S
37 0 218 2 Jacobsohn Mr. Sidney Samuel male 42 1 0 243847 27 S
38 1 107 3 Salkjelsvik Miss. Anna Kristine female 21 0 0 343120 7.65 S
39 0 878 3 Petroff Mr. Nedelio male 19 0 0 349212 7.8958 S
40 1 291 1 Barber Miss. Ellen "Nellie" female 26 0 0 19877 78.85 S
41 0 722 3 Jensen Mr. Svend Lauritz male 17 1 0 350048 7.0542 S
42 0 826 3 Flynn Mr. John male NA 0 0 368323 6.95 Q
43 0 434 3 Kallio Mr. Nikolai Erland male 17 0 0 STON/O 2. 3101274 7.125 S
44 0 404 3 Hakkarainen Mr. Pekka Pietari male 28 1 0 STON/O2. 3101279 15.85 S
45 1 210 1 Blank Mr. Henry male 40 0 0 112277 31 A31 C
46 1 166 3 Goldsmith Master. Frank John William "Frankie" male 9 0 2 363291 20.525 S
47 0 201 3 Vande Walle Mr. Nestor Cyriel male 28 0 0 345770 9.5 S
48 0 361 3 Skoog Mr. Wilhelm male 40 1 4 347088 27.9 S
49 1 53 1 Harper Mrs. Henry Sleeper (Myna Haxtun) female 49 1 0 PC 17572 76.7292 D33 C
50 0 612 3 Jardin Mr. Jose Neto male NA 0 0 SOTON/O.Q. 3101305 7.05 S
51 0 60 3 Goodwin Master. William Frederick male 11 5 2 CA 2144 46.9 S
52 1 262 3 Asplund Master. Edvin Rojj Felix male 3 4 2 347077 31.3875 S
53 1 674 2 Wilhelms Mr. Charles male 31 0 0 244270 13 S
54 0 63 1 Harris Mr. Henry Birkhardt male 45 1 0 36973 83.475 C83 S
55 0 215 3 Kiernan Mr. Philip male NA 1 0 367229 7.75 Q
56 0 618 3 Lobb Mrs. William Arthur (Cordelia K Stanlick) female 26 1 0 A/5. 3336 16.1 S
57 1 789 3 Dean Master. Bertram Vere male 1 1 2 C.A. 2315 20.575 S
58 1 312 1 Ryerson Miss. Emily Borie female 18 2 2 PC 17608 262.375 B57 B59 B63 B66 C
59 0 113 3 Barton Mr. David John male 22 0 0 324669 8.05 S
60 0 314 3 Hendekovic Mr. Ignjac male 28 0 0 349243 7.8958 S
61 1 517 2 Lemore Mrs. (Amelia Milley) female 34 0 0 C.A. 34260 10.5 F33 S
62 0 174 3 Sivola Mr. Antti Wilhelm male 21 0 0 STON/O 2. 3101280 7.925 S
63 1 803 1 Carter Master. William Thornton II male 11 1 2 113760 120 B96 B98 S
64 0 479 3 Karlsson Mr. Nils August male 22 0 0 350060 7.5208 S
65 1 445 3 Johannesen-Bratthammer Mr. Bernt male NA 0 0 65306 8.1125 S
66 0 684 3 Goodwin Mr. Charles Edward male 14 5 2 CA 2144 46.9 S
67 1 597 2 Leitch Miss. Jessie Wills female NA 0 0 248727 33 S
68 0 229 2 Fahlstrom Mr. Arne Jonas male 18 0 0 236171 13 S
69 0 121 2 Hickman Mr. Stanley George male 21 2 0 S.O.C. 14879 73.5 S
70 0 526 3 Farrell Mr. James male 40.5 0 0 367232 7.75 Q
71 1 360 3 Mockler Miss. Helen Mary "Ellie" female NA 0 0 330980 7.8792 Q
72 1 20 3 Masselmani Mrs. Fatima female NA 0 0 2649 7.225 C
73 0 28 1 Fortune Mr. Charles Alexander male 19 3 2 19950 263 C23 C25 C27 S
74 0 761 3 Garfirth Mr. John male NA 0 0 358585 14.5 S
75 1 487 1 Hoyt Mrs. Frederick Maxfield (Jane Anne Forby) female 35 1 0 19943 90 C93 S
76 0 385 3 Plotcharsky Mr. Vasil male NA 0 0 349227 7.8958 S
77 0 364 3 Asim Mr. Adola male 35 0 0 SOTON/O.Q. 3101310 7.05 S
78 1 124 2 Webber Miss. Susan female 32.5 0 0 27267 13 E101 S
79 0 165 3 Panula Master. Eino Viljami male 1 4 1 3101295 39.6875 S
80 0 668 3 Rommetvedt Mr. Knud Paust male NA 0 0 312993 7.775 S
81 0 596 3 Van Impe Mr. Jean Baptiste male 36 1 1 345773 24.15 S
82 0 845 3 Culumovic Mr. Jeso male 17 0 0 315090 8.6625 S
83 1 510 3 Lang Mr. Fang male 26 0 0 1601 56.4958 S
84 0 135 2 Sobey Mr. Samuel James Hayden male 25 0 0 C.A. 29178 13 S
85 1 196 1 Lurette Miss. Elise female 58 0 0 PC 17569 146.5208 B80 C
86 1 377 3 Landergren Miss. Aurora Adelia female 22 0 0 C 7077 7.25 S
87 1 745 3 Stranden Mr. Juho male 31 0 0 STON/O 2. 3101288 7.925 S
88 0 729 2 Bryhl Mr. Kurt Arnold Gottfrid male 25 1 0 236853 26 S
89 1 661 1 Frauenthal Dr. Henry William male 50 2 0 PC 17611 133.65 S
90 0 437 3 Ford Miss. Doolina Margaret "Daisy" female 21 2 2 W./C. 6608 34.375 S
91 1 9 3 Johnson Mrs. Oscar W (Elisabeth Vilhelmina Berg) female 27 0 2 347742 11.1333 S
92 0 835 3 Allum Mr. Owen George male 18 0 0 2223 8.3 S
93 0 794 1 Hoyt Mr. William Fisher male NA 0 0 PC 17600 30.6958 C
94 0 891 3 Dooley Mr. Patrick male 32 0 0 370376 7.75 Q
95 0 851 3 Andersson Master. Sigvard Harald Elias male 4 4 2 347082 31.275 S
96 1 854 1 Lines Miss. Mary Conover female 16 0 1 PC 17592 39.4 D28 S
97 0 552 2 Sharp Mr. Percival James R male 27 0 0 244358 26 S
98 1 671 2 Brown Mrs. Thomas William Solomon (Elizabeth Catherine Ford) female 40 1 1 29750 39 S
99 0 228 3 Lovell Mr. John Hall ("Henry") male 20.5 0 0 A/5 21173 7.25 S
100 1 763 3 Barah Mr. Hanna Assi male 20 0 0 2663 7.2292 C
101 0 591 3 Rintamaki Mr. Matti male 35 0 0 STON/O 2. 3101273 7.125 S
102 0 155 3 Olsen Mr. Ole Martin male NA 0 0 Fa 265302 7.3125 S
103 0 104 3 Johansson Mr. Gustaf Joel male 33 0 0 7540 8.6542 S
104 0 443 3 Petterson Mr. Johan Emil male 25 1 0 347076 7.775 S
105 1 592 1 Stephenson Mrs. Walter Bertram (Martha Eustis) female 52 1 0 36947 78.2667 D20 C
106 0 584 1 Ross Mr. John Hugo male 36 0 0 13049 40.125 A10 C
107 0 277 3 Lindblom Miss. Augusta Charlotta female 45 0 0 347073 7.75 S
108 1 514 1 Rothschild Mrs. Martin (Elizabeth L. Barrett) female 54 1 0 PC 17603 59.4 C
109 1 83 3 McDermott Miss. Brigdet Delia female NA 0 0 330932 7.7875 Q
110 1 856 3 Aks Mrs. Sam (Leah Rosen) female 18 0 1 392091 9.35 S
111 1 390 2 Lehmann Miss. Bertha female 17 0 0 SC 1748 12 C
112 0 579 3 Caram Mrs. Joseph (Maria Elias) female NA 1 0 2689 14.4583 C
113 0 500 3 Svensson Mr. Olof male 24 0 0 350035 7.7958 S
114 0 412 3 Hart Mr. Henry male NA 0 0 394140 6.8583 Q
115 0 687 3 Panula Mr. Jaako Arnold male 14 4 1 3101295 39.6875 S
116 0 73 2 Hood Mr. Ambrose Jr male 21 0 0 S.O.C. 14879 73.5 S
117 0 887 2 Montvila Rev. Juozas male 27 0 0 211536 13 S
118 0 503 3 O'Sullivan Miss. Bridget Mary female NA 0 0 330909 7.6292 Q
119 0 41 3 Ahlin Mrs. Johan (Johanna Persdotter Larsson) female 40 1 0 7546 9.475 S
120 1 654 3 O'Leary Miss. Hanora "Norah" female NA 0 0 330919 7.8292 Q
121 1 484 3 Turkula Mrs. (Hedwig) female 63 0 0 4134 9.5875 S
122 0 426 3 Wiseman Mr. Phillippe male NA 0 0 A/4. 34244 7.25 S
123 1 438 2 Richards Mrs. Sidney (Emily Hocking) female 24 2 3 29106 18.75 S
124 0 625 3 Bowen Mr. David John "Dai" male 21 0 0 54636 16.1 S
125 0 114 3 Jussila Miss. Katriina female 20 1 0 4136 9.825 S
126 0 614 3 Horgan Mr. John male NA 0 0 370377 7.75 Q
127 1 731 1 Allen Miss. Elisabeth Walton female 29 0 0 24160 211.3375 B5 S
128 0 675 2 Watson Mr. Ennis Hastings male NA 0 0 239856 0 S
129 0 712 1 Klaber Mr. Herman male NA 0 0 113028 26.55 C124 S
130 0 657 3 Radeff Mr. Alexander male NA 0 0 349223 7.8958 S
131 0 848 3 Markoff Mr. Marin male 35 0 0 349213 7.8958 C
132 0 809 2 Meyer Mr. August male 39 0 0 248723 13 S
133 1 577 2 Garside Miss. Ethel female 34 0 0 243880 13 S
134 0 343 2 Collander Mr. Erik Gustaf male 28 0 0 248740 13 S
135 0 252 3 Strom Mrs. Wilhelm (Elna Matilda Persson) female 29 1 1 347054 10.4625 G6 S
136 0 518 3 Ryan Mr. Patrick male NA 0 0 371110 24.15 Q
137 0 515 3 Coleff Mr. Satio male 24 0 0 349209 7.4958 S
138 0 327 3 Nysveen Mr. Johan Hansen male 61 0 0 345364 6.2375 S
139 0 144 3 Burke Mr. Jeremiah male 19 0 0 365222 6.75 Q
140 0 629 3 Bostandyeff Mr. Guentcho male 26 0 0 349224 7.8958 S
141 0 469 3 Scanlan Mr. James male NA 0 0 36209 7.725 Q
142 1 199 3 Madigan Miss. Margaret "Maggie" female NA 0 0 370370 7.75 Q
143 1 459 2 Toomey Miss. Ellen female 50 0 0 F.C.C. 13531 10.5 S
144 1 485 1 Bishop Mr. Dickinson H male 25 1 0 11967 91.0792 B49 C
145 1 349 3 Coutts Master. William Loch "William" male 3 1 1 C.A. 37671 15.9 S
146 0 716 3 Soholt Mr. Peter Andreas Lauritz Andersen male 19 0 0 348124 7.65 F G73 S
147 0 742 1 Cavendish Mr. Tyrell William male 36 1 0 19877 78.85 C46 S
148 0 520 3 Pavlovic Mr. Stefo male 32 0 0 349242 7.8958 S
149 1 764 1 Carter Mrs. William Ernest (Lucile Polk) female 36 1 2 113760 120 B96 B98 S
150 0 19 3 Vander Planke Mrs. Julius (Emelia Maria Vandemoortele) female 31 1 0 345763 18 S
151 0 563 2 Norman Mr. Robert Douglas male 28 0 0 218629 13.5 S
152 1 331 3 McCoy Miss. Agnes female NA 2 0 367226 23.25 Q
153 0 251 3 Reed Mr. James George male NA 0 0 362316 7.25 S
154 1 850 1 Goldenberg Mrs. Samuel L (Edwiga Grabowska) female NA 1 0 17453 89.1042 C92 C
155 1 778 3 Emanuel Miss. Virginia Ethel female 5 0 0 364516 12.475 S
156 1 458 1 Kenyon Mrs. Frederick R (Marion) female NA 1 0 17464 51.8625 D21 S
157 0 457 1 Millet Mr. Francis Davis male 65 0 0 13509 26.55 E38 S
158 1 433 2 Louch Mrs. Charles Alexander (Alice Adelaide Slow) female 42 1 0 SC/AH 3085 26 S
159 1 743 1 Ryerson Miss. Susan Parker "Suzette" female 21 2 2 PC 17608 262.375 B57 B59 B63 B66 C
160 1 741 1 Hawksford Mr. Walter James male NA 0 0 16988 30 D45 S
161 1 234 3 Asplund Miss. Lillian Gertrud female 5 4 2 347077 31.3875 S
162 1 57 2 Rugg Miss. Emily female 21 0 0 C.A. 31026 10.5 S
163 0 816 1 Fry Mr. Richard male NA 0 0 112058 0 B102 S
164 1 56 1 Woolner Mr. Hugh male NA 0 0 19947 35.5 C52 S
165 0 169 1 Baumann Mr. John D male NA 0 0 PC 17318 25.925 S
166 0 168 3 Skoog Mrs. William (Anna Bernhardina Karlsson) female 45 1 4 347088 27.9 S
167 0 158 3 Corn Mr. Harry male 30 0 0 SOTON/OQ 392090 8.05 S
168 1 270 1 Bissette Miss. Amelia female 35 0 0 PC 17760 135.6333 C99 S
169 0 243 2 Coleridge Mr. Reginald Charles male 29 0 0 W./C. 14263 10.5 S
170 0 240 2 Hunt Mr. George Henry male 33 0 0 SCO/W 1585 12.275 S
171 0 177 3 Lefebre Master. Henry Forbes male NA 3 1 4133 25.4667 S
172 1 608 1 Daniel Mr. Robert Williams male 27 0 0 113804 30.5 S
173 0 587 2 Jarvis Mr. John Denzil male 47 0 0 237565 15 S
174 1 508 1 Bradley Mr. George ("George Arthur Brayton") male NA 0 0 111427 26.55 S
175 1 648 1 Simonius-Blumer Col. Oberst Alfons male 56 0 0 13213 35.5 A26 C
176 0 255 3 Rosblom Mrs. Viktor (Helena Wilhelmina) female 41 0 2 370129 20.2125 S
177 0 602 3 Slabenoff Mr. Petco male NA 0 0 349214 7.8958 S
178 0 136 2 Richard Mr. Emile male 23 0 0 SC/PARIS 2133 15.0458 C
179 0 464 2 Milling Mr. Jacob Christian male 48 0 0 234360 13 S
180 1 570 3 Jonsson Mr. Carl male 32 0 0 350417 7.8542 S
181 1 126 3 Nicola-Yarred Master. Elias male 12 1 0 2651 11.2417 C
182 1 721 2 Harper Miss. Annie Jessie "Nina" female 6 0 1 248727 33 S
183 0 31 1 Uruchurtu Don. Manuel E male 40 0 0 PC 17601 27.7208 C
184 0 261 3 Smith Mr. Thomas male NA 0 0 384461 7.75 Q
185 0 621 3 Yasbeck Mr. Antoni male 27 1 0 2659 14.4542 C
186 0 838 3 Sirota Mr. Maurice male NA 0 0 392092 8.05 S
187 0 68 3 Crease Mr. Ernest James male 19 0 0 S.P. 3464 8.1583 S
188 1 392 3 Jansson Mr. Carl Olof male 21 0 0 350034 7.7958 S
189 1 450 1 Peuchen Major. Arthur Godfrey male 52 0 0 113786 30.5 C104 S
190 0 873 1 Carlsson Mr. Frans Olof male 33 0 0 695 5 B51 B53 B55 S
191 1 11 3 Sandstrom Miss. Marguerite Rut female 4 1 1 PP 9549 16.7 G6 S
192 1 187 3 O'Brien Mrs. Thomas (Johanna "Hannah" Godfrey) female NA 1 0 370365 15.5 Q
193 0 795 3 Dantcheff Mr. Ristiu male 25 0 0 349203 7.8958 S
194 1 780 1 Robert Mrs. Edward Scott (Elisabeth Walton McMillan) female 43 0 1 24160 211.3375 B3 S
195 0 509 3 Olsen Mr. Henry Margido male 28 0 0 C 4001 22.525 S
196 0 285 1 Smith Mr. Richard William male NA 0 0 113056 26 A19 S
197 0 34 2 Wheadon Mr. Edward H male 66 0 0 C.A. 24579 10.5 S
198 0 172 3 Rice Master. Arthur male 4 4 1 382652 29.125 Q
199 1 447 2 Mellinger Miss. Madeleine Violet female 13 0 1 250644 19.5 S
200 0 537 1 Butt Major. Archibald Willingham male 45 0 0 113050 26.55 B38 S
201 0 386 2 Davies Mr. Charles Henry male 18 0 0 S.O.C. 14879 73.5 S
202 0 410 3 Lefebre Miss. Ida female NA 3 1 4133 25.4667 S
203 1 371 1 Harder Mr. George Achilles male 25 1 0 11765 55.4417 E50 C
204 0 556 1 Wright Mr. George male 62 0 0 113807 26.55 S
205 0 730 3 Ilmakangas Miss. Pieta Sofia female 25 1 0 STON/O2. 3101271 7.925 S
206 0 416 3 Meek Mrs. Thomas (Annie Louise Rowley) female NA 0 0 343095 8.05 S
207 0 77 3 Staneff Mr. Ivan male NA 0 0 349208 7.8958 S
208 0 365 3 O'Brien Mr. Thomas male NA 1 0 370365 15.5 Q
209 0 562 3 Sivic Mr. Husein male 40 0 0 349251 7.8958 S
210 1 287 3 de Mulder Mr. Theodore male 30 0 0 345774 9.5 S
211 0 127 3 McMahon Mr. Martin male NA 0 0 370372 7.75 Q
212 0 64 3 Skoog Master. Harald male 4 3 2 347088 27.9 S
213 1 80 3 Dowdell Miss. Elizabeth female 30 0 0 364516 12.475 S
214 0 879 3 Laleff Mr. Kristo male NA 0 0 349217 7.8958 S
215 0 88 3 Slocovski Mr. Selman Francis male NA 0 0 SOTON/OQ 392086 8.05 S
216 1 191 2 Pinsky Mrs. (Rosa) female 32 0 0 234604 13 S
217 0 860 3 Razi Mr. Raihed male NA 0 0 2629 7.2292 C
218 0 244 3 Maenpaa Mr. Matti Alexanteri male 22 0 0 STON/O 2. 3101275 7.125 S
219 0 74 3 Chronopoulos Mr. Apostolos male 26 1 0 2680 14.4542 C
220 1 268 3 Persson Mr. Ernst Ulrik male 25 1 0 347083 7.775 S
221 0 148 3 Ford Miss. Robina Maggie "Ruby" female 9 2 2 W./C. 6608 34.375 S
222 0 118 2 Turpin Mr. William John Robert male 29 1 0 11668 21 S
223 0 87 3 Ford Mr. William Neal male 16 1 3 W./C. 6608 34.375 S
224 0 814 3 Andersson Miss. Ebba Iris Alfrida female 6 4 2 347082 31.275 S
225 1 10 2 Nasser Mrs. Nicholas (Adele Achem) female 14 1 0 237736 30.0708 C
226 0 120 3 Andersson Miss. Ellis Anna Maria female 2 4 2 347082 31.275 S
227 1 829 3 McCormack Mr. Thomas Joseph male NA 0 0 367228 7.75 Q
228 0 406 2 Gale Mr. Shadrach male 34 1 0 28664 21 S
229 0 419 2 Matthews Mr. William John male 30 0 0 28228 13 S
230 1 299 1 Saalfeld Mr. Adolphe male NA 0 0 19988 30.5 C106 S
231 1 711 1 Mayne Mlle. Berthe Antonine ("Mrs de Villiers") female 24 0 0 PC 17482 49.5042 C90 C
232 1 601 2 Jacobsohn Mrs. Sidney Samuel (Amy Frances Christy) female 24 2 1 243847 27 S
233 0 842 2 Mudd Mr. Thomas Charles male 16 0 0 S.O./P.P. 3 10.5 S
234 0 475 3 Strandberg Miss. Ida Sofia female 22 0 0 7553 9.8375 S
235 0 452 3 Hagland Mr. Ingvald Olai Olsen male NA 1 0 65303 19.9667 S
236 0 313 2 Lahtinen Mrs. William (Anna Sylfven) female 26 1 1 250651 26 S
237 0 593 3 Elsbury Mr. William James male 47 0 0 A/5 3902 7.25 S
238 0 532 3 Toufik Mr. Nakli male NA 0 0 2641 7.2292 C
239 1 29 3 O'Dwyer Miss. Ellen "Nellie" female NA 0 0 330959 7.8792 Q
240 0 820 3 Skoog Master. Karl Thorsten male 10 3 2 347088 27.9 S
241 0 744 3 McNamee Mr. Neal male 24 1 0 376566 16.1 S
242 0 512 3 Webber Mr. James male NA 0 0 SOTON/OQ 3101316 8.05 S
243 1 470 3 Baclini Miss. Helene Barbara female 0.75 2 1 2666 19.2583 C
244 0 206 3 Strom Miss. Telma Matilda female 2 0 1 347054 10.4625 G6 S
245 1 755 2 Herman Mrs. Samuel (Jane Laver) female 48 1 2 220845 65 S
246 1 781 3 Ayoub Miss. Banoura female 13 0 0 2687 7.2292 C
247 1 33 3 Glynn Miss. Mary Agatha female NA 0 0 335677 7.75 Q
248 1 571 2 Harris Mr. George male 62 0 0 S.W./PP 752 10.5 S
249 0 746 1 Crosby Capt. Edward Gifford male 70 1 1 WE/P 5735 71 B22 S
250 0 294 3 Haas Miss. Aloisia female 24 0 0 349236 8.85 S
251 1 208 3 Albimona Mr. Nassef Cassem male 26 0 0 2699 18.7875 C
252 0 154 3 van Billiard Mr. Austin Blyler male 40.5 0 2 A/5. 851 14.5 S
253 0 267 3 Panula Mr. Ernesti Arvid male 16 4 1 3101295 39.6875 S
254 1 317 2 Kantor Mrs. Sinai (Miriam Sternin) female 24 1 0 244367 26 S
255 0 620 2 Gavey Mr. Lawrence male 26 0 0 31028 10.5 S
256 1 559 1 Taussig Mrs. Emil (Tillie Mandelbaum) female 39 1 1 110413 79.65 E67 S
257 1 37 3 Mamee Mr. Hanna male NA 0 0 2677 7.2292 C
258 0 265 3 Henry Miss. Delia female NA 0 0 382649 7.75 Q
259 0 477 2 Renouf Mr. Peter Henry male 34 1 0 31027 21 S
260 1 219 1 Bazzani Miss. Albina female 32 0 0 11813 76.2917 D15 C
261 0 30 3 Todoroff Mr. Lalio male NA 0 0 349216 7.8958 S
262 0 853 3 Boulos Miss. Nourelain female 9 1 1 2678 15.2458 C
263 0 409 3 Birkeland Mr. Hans Martin Monsen male 21 0 0 312992 7.775 S
264 1 328 2 Ball Mrs. (Ada E Hall) female 36 0 0 28551 13 D S
265 0 321 3 Dennis Mr. Samuel male 22 0 0 A/5 21172 7.25 S
266 1 22 2 Beesley Mr. Lawrence male 34 0 0 248698 13 D56 S
267 1 110 3 Moran Miss. Bertha female NA 1 0 371110 24.15 Q
268 1 490 3 Coutts Master. Eden Leslie "Neville" male 9 1 1 C.A. 37671 15.9 S
269 0 315 2 Hart Mr. Benjamin male 43 1 1 F.C.C. 13529 26.25 S
270 1 162 2 Watt Mrs. James (Elizabeth "Bessie" Inglis Milne) female 40 0 0 C.A. 33595 15.75 S
271 0 736 3 Williams Mr. Leslie male 28.5 0 0 54636 16.1 S
272 0 543 3 Andersson Miss. Sigrid Elisabeth female 11 4 2 347082 31.275 S
273 1 3 3 Heikkinen Miss. Laina female 26 0 0 STON/O2. 3101282 7.925 S
274 0 767 1 Brewe Dr. Arthur Jackson male NA 0 0 112379 39.6 C
275 0 533 3 Elias Mr. Joseph Jr male 17 1 1 2690 7.2292 C
276 0 598 3 Johnson Mr. Alfred male 49 0 0 LINE 0 S
277 0 667 2 Butler Mr. Reginald Fenton male 25 0 0 234686 13 S
278 1 335 1 Frauenthal Mrs. Henry William (Clara Heinsheimer) female NA 1 0 PC 17611 133.65 S
279 0 585 3 Paulner Mr. Uscher male NA 0 0 3411 8.7125 C
280 0 27 3 Emir Mr. Farred Chehab male NA 0 0 2631 7.225 C
281 0 564 3 Simmons Mr. John male NA 0 0 SOTON/OQ 392082 8.05 S
282 0 117 3 Connors Mr. Patrick male 70.5 0 0 370369 7.75 Q
283 0 834 3 Augustsson Mr. Albert male 23 0 0 347468 7.8542 S
284 1 461 1 Anderson Mr. Harry male 48 0 0 19952 26.55 E12 S
285 1 395 3 Sandstrom Mrs. Hjalmar (Agnes Charlotta Bengtsson) female 24 0 2 PP 9549 16.7 G6 S
286 1 82 3 Sheerlinck Mr. Jan Baptist male 29 0 0 345779 9.5 S
287 1 2 1 Cumings Mrs. John Bradley (Florence Briggs Thayer) female 38 1 0 PC 17599 71.2833 C85 C
288 0 130 3 Ekstrom Mr. Johan male 45 0 0 347061 6.975 S
289 0 566 3 Davies Mr. Alfred J male 24 2 0 A/4 48871 24.15 S
290 1 480 3 Hirvonen Miss. Hildur E female 2 0 1 3101298 12.2875 S
291 1 456 3 Jalsevac Mr. Ivan male 29 0 0 349240 7.8958 C
292 0 528 1 Farthing Mr. John male NA 0 0 PC 17483 221.7792 C95 S
293 0 72 3 Goodwin Miss. Lillian Amy female 16 5 2 CA 2144 46.9 S
294 1 308 1 Penasco y Castellana Mrs. Victor de Satode (Maria Josefa Perez de Soto y Vallejo) female 17 1 0 PC 17758 108.9 C65 C
295 1 129 3 Peter Miss. Anna female NA 1 1 2668 22.3583 F E69 C
296 1 550 2 Davies Master. John Morgan Jr male 8 1 1 C.A. 33112 36.75 S
297 0 773 2 Mack Mrs. (Mary) female 57 0 0 S.O./P.P. 3 10.5 E77 S
298 1 347 2 Smith Miss. Marion Elsie female 40 0 0 31418 13 S
299 0 131 3 Drazenoic Mr. Jozef male 33 0 0 349241 7.8958 C
300 0 373 3 Beavan Mr. William Thomas male 19 0 0 323951 8.05 S
301 1 339 3 Dahl Mr. Karl Edwart male 45 0 0 7598 8.05 S
302 0 241 3 Zabour Miss. Thamine female NA 1 0 2665 14.4542 C
303 1 227 2 Mellors Mr. William John male 19 0 0 SW/PP 751 10.5 S
304 1 221 3 Sunderland Mr. Victor Francis male 16 0 0 SOTON/OQ 392089 8.05 S
305 0 350 3 Dimic Mr. Jovan male 42 0 0 315088 8.6625 S
306 0 164 3 Calic Mr. Jovo male 17 0 0 315093 8.6625 S
307 1 75 3 Bing Mr. Lee male 32 0 0 1601 56.4958 S
308 0 785 3 Ali Mr. William male 25 0 0 SOTON/O.Q. 3101312 7.05 S
309 1 560 3 de Messemaeker Mrs. Guillaume Joseph (Emma) female 36 1 0 345572 17.4 S
310 1 69 3 Andersson Miss. Erna Alexandra female 17 4 2 3101281 7.925 S
311 0 13 3 Saundercock Mr. William Henry male 20 0 0 A/5. 2151 8.05 S
312 1 519 2 Angle Mrs. William A (Florence "Mary" Agnes Hughes) female 36 1 0 226875 26 S
313 0 115 3 Attalah Miss. Malake female 17 0 0 2627 14.4583 C
314 0 565 3 Meanwell Miss. (Marion Ogden) female NA 0 0 SOTON/O.Q. 392087 8.05 S
315 0 659 2 Eitemiller Mr. George Floyd male 23 0 0 29751 13 S
316 1 185 3 Kink-Heilmann Miss. Luise Gretchen female 4 0 2 315153 22.025 S
317 0 375 3 Palsson Miss. Stina Viola female 3 3 1 349909 21.075 S
318 0 232 3 Larsson Mr. Bengt Edvin male 29 0 0 347067 7.775 S
319 1 248 2 Hamalainen Mrs. William (Anna) female 24 0 2 250649 14.5 S
320 0 421 3 Gheorgheff Mr. Stanio male NA 0 0 349254 7.8958 C
321 1 394 1 Newell Miss. Marjorie female 23 1 0 35273 113.275 D36 C
322 1 616 2 Herman Miss. Alice female 24 1 2 220845 65 S
323 0 149 2 Navratil Mr. Michel ("Louis M Hoffman") male 36.5 0 2 230080 26 F2 S
324 1 292 1 Bishop Mrs. Dickinson H (Helen Walton) female 19 1 0 11967 91.0792 B49 C
325 0 374 1 Ringhini Mr. Sante male 22 0 0 PC 17760 135.6333 C
326 1 623 3 Nakid Mr. Sahid male 20 1 1 2653 15.7417 C
327 0 759 3 Theobald Mr. Thomas Leonard male 34 0 0 363294 8.05 S
328 1 48 3 O'Driscoll Miss. Bridget female NA 0 0 14311 7.75 Q
329 0 224 3 Nenkoff Mr. Christo male NA 0 0 349234 7.8958 S
330 1 302 3 McCoy Mr. Bernard male NA 2 0 367226 23.25 Q
331 0 183 3 Asplund Master. Clarence Gustaf Hugo male 9 4 2 347077 31.3875 S
332 1 678 3 Turja Miss. Anna Sofia female 18 0 0 4138 9.8417 S
333 0 663 1 Colley Mr. Edward Pomeroy male 47 0 0 5727 25.5875 E58 S
334 0 488 1 Kent Mr. Edward Austin male 58 0 0 11771 29.7 B37 C
335 0 379 3 Betros Mr. Tannous male 20 0 0 2648 4.0125 C
336 0 776 3 Myhrman Mr. Pehr Fabian Oliver Malkolm male 18 0 0 347078 7.75 S
337 1 357 1 Bowerman Miss. Elsie Edith female 22 0 1 113505 55 E33 S
338 1 454 1 Goldenberg Mr. Samuel L male 49 1 0 17453 89.1042 C92 C
339 0 52 3 Nosworthy Mr. Richard Cater male 21 0 0 A/4. 39886 7.8 S
340 0 640 3 Thorneycroft Mr. Percival male NA 1 0 376564 16.1 S
341 0 325 3 Sage Mr. George John Jr male NA 8 2 CA. 2343 69.55 S
342 1 541 1 Crosby Miss. Harriet R female 36 0 2 WE/P 5735 71 B22 S
343 0 442 3 Hampe Mr. Leon male 20 0 0 345769 9.5 S
344 0 363 3 Barbara Mrs. (Catherine David) female 45 0 1 2691 14.4542 C
345 0 334 3 Vander Planke Mr. Leo Edmondus male 16 2 0 345764 18 S
346 1 797 1 Leader Dr. Alice (Farnham) female 49 0 0 17465 25.9292 D17 S
347 0 159 3 Smiljanic Mr. Mile male NA 0 0 315037 8.6625 S
348 0 226 3 Berglund Mr. Karl Ivar Sven male 22 0 0 PP 4348 9.35 S
349 0 669 3 Cook Mr. Jacob male 43 0 0 A/5 3536 8.05 S
350 1 636 2 Davis Miss. Mary female 28 0 0 237668 13 S
351 1 341 2 Navratil Master. Edmond Roger male 2 1 1 230080 26 F2 S
352 1 306 1 Allison Master. Hudson Trevor male 0.92 1 2 113781 151.55 C22 C26 S
353 0 106 3 Mionoff Mr. Stoytcho male 28 0 0 349207 7.8958 S
354 0 253 1 Stead Mr. William Thomas male 62 0 0 113514 26.55 C87 S
355 0 139 3 Osen Mr. Olaf Elon male 16 0 0 7534 9.2167 S
356 0 133 3 Robins Mrs. Alexander A (Grace Charity Laury) female 47 1 0 A/5. 3337 14.5 S
357 1 652 2 Doling Miss. Elsie female 18 0 1 231919 23 S
358 0 414 2 Cunningham Mr. Alfred Fleming male NA 0 0 239853 0 S
359 0 811 3 Alexander Mr. William male 26 0 0 3474 7.8875 S
360 1 551 1 Thayer Mr. John Borland Jr male 17 0 2 17421 110.8833 C70 C
361 0 378 1 Widener Mr. Harry Elkins male 27 0 2 113503 211.5 C82 C
362 1 578 1 Silvey Mrs. William Baird (Alice Munger) female 39 1 0 13507 55.9 E44 S
363 0 279 3 Rice Master. Eric male 7 4 1 382652 29.125 Q
364 0 493 1 Molson Mr. Harry Markland male 55 0 0 113787 30.5 C30 S
365 0 286 3 Stankovic Mr. Ivan male 33 0 0 349239 8.6625 C
366 0 123 2 Nasser Mr. Nicholas male 32.5 1 0 237736 30.0708 C
367 0 175 1 Smith Mr. James Clinch male 56 0 0 17764 30.6958 A7 C
368 1 391 1 Carter Mr. William Ernest male 36 1 2 113760 120 B96 B98 S
369 1 511 3 Daly Mr. Eugene Patrick male 29 0 0 382651 7.75 Q
370 1 802 2 Collyer Mrs. Harvey (Charlotte Annie Tate) female 31 1 1 C.A. 31921 26.25 S
371 1 346 2 Brown Miss. Amelia "Mildred" female 24 0 0 248733 13 F33 S
372 1 142 3 Nysten Miss. Anna Sofia female 22 0 0 347081 7.75 S
373 0 568 3 Palsson Mrs. Nils (Alma Cornelia Berglund) female 29 0 4 349909 21.075 S
374 0 817 3 Heininen Miss. Wendla Maria female 23 0 0 STON/O2. 3101290 7.925 S
375 0 847 3 Sage Mr. Douglas Bullen male NA 8 2 CA. 2343 69.55 S
376 1 417 2 Drew Mrs. James Vivian (Lulu Thorne Christian) female 34 1 1 28220 32.5 S
377 1 766 1 Hogeboom Mrs. John C (Anna Andrews) female 51 1 0 13502 77.9583 D11 S
378 1 408 2 Richards Master. William Rowe male 3 1 1 29106 18.75 S
379 0 103 1 White Mr. Richard Frasar male 21 0 1 35281 77.2875 D26 S
380 0 266 2 Reeves Mr. David male 36 0 0 C.A. 17248 10.5 S
381 0 737 3 Ford Mrs. Edward (Margaret Ann Watson) female 48 1 3 W./C. 6608 34.375 S
382 1 26 3 Asplund Mrs. Carl Oscar (Selma Augusta Emilia Johansson) female 38 1 5 347077 31.3875 S
383 0 679 3 Goodwin Mrs. Frederick (Augusta Tyler) female 43 1 6 CA 2144 46.9 S
384 0 774 3 Elias Mr. Dibo male NA 0 0 2674 7.225 C
385 1 538 1 LeRoy Miss. Bertha female 30 0 0 PC 17761 106.425 C
386 0 198 3 Olsen Mr. Karl Siegwart Andreas male 42 0 1 4579 8.4042 S
387 0 818 2 Mallet Mr. Albert male 31 1 1 S.C./PARIS 2079 37.0042 C
388 1 143 3 Hakkarainen Mrs. Pekka Pietari (Elin Matilda Dolck) female 24 1 0 STON/O2. 3101279 15.85 S
389 1 782 1 Dick Mrs. Albert Adrian (Vera Gillespie) female 17 1 0 17474 57 B20 S
390 0 51 3 Panula Master. Juha Niilo male 7 4 1 3101295 39.6875 S
391 1 12 1 Bonnell Miss. Elizabeth female 58 0 0 113783 26.55 C103 S
392 0 595 2 Chapman Mr. John Henry male 37 1 0 SC/AH 29037 26 S
393 1 513 1 McGough Mr. James Robert male 36 0 0 PC 17473 26.2875 E25 S
394 1 610 1 Shutes Miss. Elizabeth W female 40 0 0 PC 17582 153.4625 C125 S
395 1 304 2 Keane Miss. Nora A female NA 0 0 226593 12.35 E101 Q
396 1 323 2 Slayter Miss. Hilda Mary female 30 0 0 234818 12.35 Q
397 1 280 3 Abbott Mrs. Stanton (Rosa Hunt) female 35 1 1 C.A. 2673 20.25 S
398 0 397 3 Olsson Miss. Elina female 31 0 0 350407 7.8542 S
399 0 886 3 Rice Mrs. William (Margaret Norton) female 39 0 5 382652 29.125 Q
400 1 682 1 Hassab Mr. Hammad male 27 0 0 PC 17572 76.7292 D49 C
401 0 38 3 Cann Mr. Ernest Charles male 21 0 0 A./5. 2152 8.05 S
402 0 696 2 Chapman Mr. Charles Henry male 52 0 0 248731 13.5 S
403 1 231 1 Harris Mrs. Henry Birkhardt (Irene Wallach) female 35 1 0 36973 83.475 C83 S
404 0 681 3 Peters Miss. Katie female NA 0 0 330935 8.1375 Q
405 1 310 1 Francatelli Miss. Laura Mabel female 30 0 0 PC 17485 56.9292 E36 C
406 1 348 3 Davison Mrs. Thomas Henry (Mary E Finck) female NA 1 0 386525 16.1 S
407 0 758 2 Bailey Mr. Percy Andrew male 18 0 0 29108 11.5 S
408 1 633 1 Stahelin-Maeglin Dr. Max male 32 0 0 13214 30.5 B50 C
409 0 793 3 Sage Miss. Stella Anna female NA 8 2 CA. 2343 69.55 S
410 1 605 1 Homer Mr. Harry ("Mr E Haven") male 35 0 0 111426 26.55 C
411 0 491 3 Hagland Mr. Konrad Mathias Reiersen male NA 1 0 65304 19.9667 S
412 1 613 3 Murphy Miss. Margaret Jane female NA 1 0 367230 15.5 Q
413 1 16 2 Hewlett Mrs. (Mary D Kingcome) female 55 0 0 248706 16 S
414 0 288 3 Naidenoff Mr. Penko male 22 0 0 349206 7.8958 S
415 1 619 2 Becker Miss. Marion Louise female 4 2 1 230136 39 F4 S
416 1 59 2 West Miss. Constance Mirium female 5 1 2 C.A. 34651 27.75 S
417 1 276 1 Andrews Miss. Kornelia Theodosia female 63 1 0 13502 77.9583 D7 S
418 0 750 3 Connaghton Mr. Michael male 31 0 0 335097 7.75 Q
419 0 733 2 Knight Mr. Robert J male NA 0 0 239855 0 S
420 0 471 3 Keefe Mr. Arthur male NA 0 0 323592 7.25 S
421 0 247 3 Lindahl Miss. Agda Thorilda Viktoria female 25 0 0 347071 7.775 S
422 1 205 3 Cohen Mr. Gurshon "Gus" male 18 0 0 A/5 3540 8.05 S
423 1 98 1 Greenfield Mr. William Bertram male 23 0 1 PC 17759 63.3583 D10 D12 C
424 0 318 2 Moraweck Dr. Ernest male 54 0 0 29011 14 S
425 0 91 3 Christmann Mr. Emil male 29 0 0 343276 8.05 S
426 0 783 1 Long Mr. Milton Clyde male 29 0 0 113501 30 D6 S
427 0 76 3 Moen Mr. Sigurd Hansen male 25 0 0 348123 7.65 F G73 S
428 0 506 1 Penasco y Castellana Mr. Victor de Satode male 18 1 0 PC 17758 108.9 C65 C
429 0 43 3 Kraeff Mr. Theodor male NA 0 0 349253 7.8958 C
430 1 867 2 Duran y More Miss. Asuncion female 27 1 0 SC/PARIS 2149 13.8583 C
431 0 606 3 Lindell Mr. Edvard Bengtsson male 36 1 0 349910 15.55 S
432 1 62 1 Icard Miss. Amelie female 38 0 0 113572 80 B28
433 1 134 2 Weisz Mrs. Leopold (Mathilde Francoise Pede) female 29 1 0 228414 26 S
434 0 762 3 Nirva Mr. Iisakki Antino Aijo male 41 0 0 SOTON/O2 3101272 7.125 S
435 1 195 1 Brown Mrs. James Joseph (Margaret Tobin) female 44 0 0 PC 17610 27.7208 B4 C
436 0 720 3 Johnson Mr. Malkolm Joackim male 33 0 0 347062 7.775 S
437 0 583 2 Downton Mr. William James male 54 0 0 28403 26 S
438 0 483 3 Rouse Mr. Richard Henry male 50 0 0 A/5 3594 8.05 S
439 0 396 3 Johansson Mr. Erik male 22 0 0 350052 7.7958 S
440 0 100 2 Kantor Mr. Sinai male 34 1 0 244367 26 S
441 0 772 3 Jensen Mr. Niels Peder male 48 0 0 350047 7.8542 S
442 0 81 3 Waelens Mr. Achille male 22 0 0 345767 9 S
443 1 188 1 Romaine Mr. Charles Hallace ("Mr C Rolmane") male 45 0 0 111428 26.55 S
444 0 576 3 Patchett Mr. George male 19 0 0 358585 14.5 S
445 1 324 2 Caldwell Mrs. Albert Francis (Sylvia Mae Harbaugh) female 22 1 1 248738 29 S
446 1 427 2 Clarke Mrs. Charles V (Ada Maria Winfield) female 28 1 0 2003 26 S
447 1 586 1 Taussig Miss. Ruth female 18 0 2 110413 79.65 E68 S
448 1 557 1 Duff Gordon Lady. (Lucille Christiana Sutherland) ("Mrs Morgan") female 48 1 0 11755 39.6 A16 C
449 1 572 1 Appleton Mrs. Edward Dale (Charlotte Lamson) female 53 2 0 11769 51.4792 C101 S
450 0 96 3 Shorney Mr. Charles Joseph male NA 0 0 374910 8.05 S
451 1 713 1 Taylor Mr. Elmer Zebley male 48 1 0 19996 52 C126 S
452 0 141 3 Boulos Mrs. Joseph (Sultana) female NA 0 2 2678 15.2458 C
453 0 55 1 Ostby Mr. Engelhart Cornelius male 65 0 1 113509 61.9792 B30 C
454 1 368 3 Moussa Mrs. (Mantoura Boulos) female NA 0 0 2626 7.2292 C
455 0 387 3 Goodwin Master. Sidney Leonard male 1 5 2 CA 2144 46.9 S
456 1 376 1 Meyer Mrs. Edgar Joseph (Leila Saks) female NA 1 0 PC 17604 82.1708 C
457 1 194 2 Navratil Master. Michel M male 3 1 1 230080 26 F2 S
458 0 643 3 Skoog Miss. Margit Elizabeth female 2 3 2 347088 27.9 S
459 1 44 2 Laroche Miss. Simonne Marie Anne Andree female 3 1 2 SC/Paris 2123 41.5792 C
460 1 40 3 Nicola-Yarred Miss. Jamila female 14 1 0 2651 11.2417 C
461 1 588 1 Frolicher-Stehli Mr. Maxmillian male 60 1 1 13567 79.2 B41 C
462 0 380 3 Gustafsson Mr. Karl Gideon male 19 0 0 347069 7.775 S
463 0 423 3 Zimmerman Mr. Leo male 29 0 0 315082 7.875 S
464 1 600 1 Duff Gordon Sir. Cosmo Edmund ("Mr Morgan") male 49 1 0 PC 17485 56.9292 A20 C
465 0 542 3 Andersson Miss. Ingeborg Constanzia female 9 4 2 347082 31.275 S
466 0 535 3 Cacic Miss. Marija female 30 0 0 315084 8.6625 S
467 1 804 3 Thomas Master. Assad Alexander male 0.42 0 1 2625 8.5167 C
468 1 866 2 Bystrom Mrs. (Karolina) female 42 0 0 236852 13 S
469 0 504 3 Laitinen Miss. Kristina Sofia female 37 0 0 4135 9.5875 S
470 0 647 3 Cor Mr. Liudevit male 19 0 0 349231 7.8958 S
471 0 749 1 Marvin Mr. Daniel Warner male 19 1 0 113773 53.1 D30 S
472 1 821 1 Hays Mrs. Charles Melville (Clara Jennings Gregg) female 52 1 1 12749 93.5 B69 S
473 1 787 3 Sjoblom Miss. Anna Sofia female 18 0 0 3101265 7.4958 S
474 1 184 2 Becker Master. Richard F male 1 2 1 230136 39 F4 S
475 0 852 3 Svensson Mr. Johan male 74 0 0 347060 7.775 S
476 0 558 1 Robbins Mr. Victor male NA 0 0 PC 17757 227.525 C
477 0 163 3 Bengtsson Mr. John Viktor male 26 0 0 347068 7.775 S
478 0 455 3 Peduzzi Mr. Joseph male NA 0 0 A/5 2817 8.05 S
479 0 220 2 Harris Mr. Walter male 30 0 0 W/C 14208 10.5 S
480 0 245 3 Attalah Mr. Sleiman male 30 0 0 2694 7.225 C
481 0 422 3 Charters Mr. David male 21 0 0 A/5. 13032 7.7333 Q
482 0 884 2 Banfield Mr. Frederick James male 28 0 0 C.A./SOTON 34068 10.5 S
483 0 453 1 Foreman Mr. Benjamin Laventall male 30 0 0 113051 27.75 C111 C
484 0 841 3 Alhomaki Mr. Ilmari Rudolf male 20 0 0 SOTON/O2 3101287 7.925 S
485 0 264 1 Harrison Mr. William male 40 0 0 112059 0 B94 S
486 1 381 1 Bidois Miss. Rosalie female 42 0 0 PC 17757 227.525 C
487 1 24 1 Sloper Mr. William Thompson male 28 0 0 113788 35.5 A6 S
488 1 708 1 Calderhead Mr. Edward Pennington male 42 0 0 PC 17476 26.2875 E24 S
489 0 15 3 Vestrom Miss. Hulda Amanda Adolfina female 14 0 0 350406 7.8542 S
490 0 703 3 Barbara Miss. Saiide female 18 0 1 2691 14.4542 C
491 0 549 3 Goldsmith Mr. Frank John male 33 1 1 363291 20.525 S
492 1 54 2 Faunthorpe Mrs. Lizzie (Elizabeth Anne Wilkinson) female 29 1 0 2926 26 S
493 0 495 3 Stanley Mr. Edward Roland male 21 0 0 A/4 45380 8.05 S
494 0 686 2 Laroche Mr. Joseph Philippe Lemercier male 25 1 2 SC/Paris 2123 41.5792 C
495 0 116 3 Pekoniemi Mr. Edvard male 21 0 0 STON/O 2. 3101294 7.925 S
496 0 105 3 Gustafsson Mr. Anders Vilhelm male 37 2 0 3101276 7.925 S
497 1 738 1 Lesurer Mr. Gustave J male 35 0 0 PC 17755 512.3292 B101 C
498 1 798 3 Osman Mrs. Mara female 31 0 0 349244 8.6833 S
499 0 615 3 Brocklebank Mr. William Alfred male 35 0 0 364512 8.05 S
500 0 815 3 Tomlin Mr. Ernest Portage male 30.5 0 0 364499 8.05 S
501 0 161 3 Cribb Mr. John Hatfield male 44 0 1 371362 16.1 S
502 1 863 1 Swift Mrs. Frederick Joel (Margaret Welles Barron) female 48 0 0 17466 25.9292 D17 S
503 1 574 3 Kelly Miss. Mary female NA 0 0 14312 7.75 Q
504 0 498 3 Shellard Mr. Frederick William male NA 0 0 C.A. 6212 15.1 S
505 0 58 3 Novel Mr. Mansouer male 28.5 0 0 2697 7.2292 C
506 0 237 2 Hold Mr. Stephen male 44 1 0 26707 26 S
507 0 882 3 Markun Mr. Johann male 33 0 0 349257 7.8958 S
508 0 788 3 Rice Master. George Hugh male 8 4 1 382652 29.125 Q
509 1 693 3 Lam Mr. Ali male NA 0 0 1601 56.4958 S
510 0 673 2 Mitchell Mr. Henry Michael male 70 0 0 C.A. 24580 10.5 S
511 0 478 3 Braund Mr. Lewis Richard male 29 1 0 3460 7.0458 S
512 0 322 3 Danoff Mr. Yoto male 27 0 0 349219 7.8958 S
513 0 800 3 Van Impe Mrs. Jean Baptiste (Rosalie Paula Govaert) female 30 1 1 345773 24.15 S
514 0 739 3 Ivanoff Mr. Kanio male NA 0 0 349201 7.8958 S
515 0 1 3 Braund Mr. Owen Harris male 22 1 0 A/5 21171 7.25 S
516 0 883 3 Dahlberg Miss. Gerda Ulrika female 22 0 0 7552 10.5167 S
517 0 546 1 Nicholson Mr. Arthur Ernest male 64 0 0 693 26 S
518 1 756 2 Hamalainen Master. Viljo male 0.67 1 1 250649 14.5 S
519 0 501 3 Calic Mr. Petar male 17 0 0 315086 8.6625 S
520 0 35 1 Meyer Mr. Edgar Joseph male 28 1 0 PC 17604 82.1708 C
521 0 156 1 Williams Mr. Charles Duane male 51 0 1 PC 17597 61.3792 C
522 1 212 2 Cameron Miss. Clear Annie female 35 0 0 F.C.C. 13528 21 S
523 0 704 3 Gallagher Mr. Martin male 25 0 0 36864 7.7417 Q
524 0 877 3 Gustafsson Mr. Alfred Ossian male 20 0 0 7534 9.8458 S
525 0 719 3 McEvoy Mr. Michael male NA 0 0 36568 15.5 Q
526 1 474 2 Jerwan Mrs. Amin S (Marie Marthe Thuillard) female 23 0 0 SC/AH Basle 541 13.7917 D C
527 1 870 3 Johnson Master. Harold Theodor male 4 1 1 347742 11.1333 S
528 0 71 2 Jenkin Mr. Stephen Curnow male 32 0 0 C.A. 33111 10.5 S
529 0 353 3 Elias Mr. Tannous male 15 1 1 2695 7.2292 C
530 1 301 3 Kelly Miss. Anna Katherine "Annie Kate" female NA 0 0 9234 7.75 Q
531 0 489 3 Somerton Mr. Francis William male 30 0 0 A.5. 18509 8.05 S
532 0 627 2 Kirkland Rev. Charles Leonard male 57 0 0 219533 12.35 Q
533 0 522 3 Vovk Mr. Janko male 22 0 0 349252 7.8958 S
534 1 527 2 Ridsdale Miss. Lucy female 50 0 0 W./C. 14258 10.5 S
535 0 638 2 Collyer Mr. Harvey male 31 1 1 C.A. 31921 26.25 S
536 0 340 1 Blackwell Mr. Stephen Weart male 45 0 0 113784 35.5 T S
537 1 830 1 Stone Mrs. George Nelson (Martha Evelyn) female 62 0 0 113572 80 B28
538 0 525 3 Kassem Mr. Fared male NA 0 0 2700 7.2292 C
539 0 111 1 Porter Mr. Walter Chamberlain male 47 0 0 110465 52 C110 S
540 0 796 2 Otter Mr. Richard male 39 0 0 28213 13 S
541 0 140 1 Giglio Mr. Victor male 24 0 0 PC 17593 79.2 B86 C
542 0 844 3 Lemberopolous Mr. Peter L male 34.5 0 0 2683 6.4375 C
543 0 92 3 Andreasson Mr. Paul Edvin male 20 0 0 347466 7.8542 S
544 0 770 3 Gronnestad Mr. Daniel Danielsen male 32 0 0 8471 8.3625 S
545 0 715 2 Greenberg Mr. Samuel male 52 0 0 250647 13 S
546 0 849 2 Harper Rev. John male 28 0 1 248727 33 S
547 0 864 3 Sage Miss. Dorothy Edith "Dolly" female NA 8 2 CA. 2343 69.55 S
548 0 305 3 Williams Mr. Howard Hugh "Harry" male NA 0 0 A/5 2466 8.05 S
549 1 709 1 Cleaver Miss. Alice female 22 0 0 113781 151.55 S
550 1 449 3 Baclini Miss. Marie Catherine female 5 2 1 2666 19.2583 C
551 1 216 1 Newell Miss. Madeleine female 31 1 0 35273 113.275 D36 C
552 1 430 3 Pickard Mr. Berk (Berk Trembisky) male 32 0 0 SOTON/O.Q. 392078 8.05 E10 S
553 0 203 3 Johanson Mr. Jakob Alfred male 34 0 0 3101264 6.4958 S
554 1 284 3 Dorking Mr. Edward Arthur male 19 0 0 A/5. 10482 8.05 S
555 1 822 3 Lulic Mr. Nikola male 27 0 0 315098 8.6625 S
556 0 792 2 Gaskell Mr. Alfred male 16 0 0 239865 26 S
557 1 370 1 Aubart Mme. Leontine Pauline female 24 0 0 PC 17477 69.3 B35 C
558 0 233 2 Sjostedt Mr. Ernst Adolf male 59 0 0 237442 13.5 S
559 0 25 3 Palsson Miss. Torborg Danira female 8 3 1 349909 21.075 S
560 0 653 3 Kalvik Mr. Johannes Halvorsen male 21 0 0 8475 8.4333 S
561 1 289 2 Hosono Mr. Masabumi male 42 0 0 237798 13 S
562 1 473 2 West Mrs. Edwy Arthur (Ada Mary Worth) female 33 1 2 C.A. 34651 27.75 S
563 0 523 3 Lahoud Mr. Sarkis male NA 0 0 2624 7.225 C
564 0 6 3 Moran Mr. James male NA 0 0 330877 8.4583 Q
565 0 153 3 Meo Mr. Alfonzo male 55.5 0 0 A.5. 11206 8.05 S
566 1 260 2 Parrish Mrs. (Lutie Davis) female 50 0 1 230433 26 S
567 0 672 1 Davidson Mr. Thornton male 31 1 0 F.C. 12750 52 B71 S
568 0 868 1 Roebling Mr. Washington Augustus II male 31 0 0 PC 17590 50.4958 A24 S
569 0 17 3 Rice Master. Eugene male 2 4 1 382652 29.125 Q
570 1 147 3 Andersson Mr. August Edvard ("Wennerstrom") male 27 0 0 350043 7.7958 S
571 1 581 2 Christy Miss. Julie Rachel female 25 1 1 237789 30 S
572 0 732 3 Hassan Mr. Houssein G N male 11 0 0 2699 18.7875 C
573 0 356 3 Vanden Steen Mr. Leo Peter male 28 0 0 345783 9.5 S
574 0 372 3 Wiklund Mr. Jakob Alfred male 18 1 0 3101267 6.4958 S
575 0 94 3 Dean Mr. Bertram Frank male 26 1 2 C.A. 2315 20.575 S
576 0 791 3 Keane Mr. Andrew "Andy" male NA 0 0 12460 7.75 Q
577 1 167 1 Chibnall Mrs. (Edith Martha Bowerman) female NA 0 1 113505 55 E33 S
578 0 297 3 Hanna Mr. Mansour male 23.5 0 0 2693 7.2292 C
579 0 632 3 Lundahl Mr. Johan Svensson male 51 0 0 347743 7.0542 S
580 0 801 2 Ponesell Mr. Martin male 34 0 0 250647 13 S
581 0 569 3 Doharr Mr. Tannous male NA 0 0 2686 7.2292 C
582 0 664 3 Coleff Mr. Peju male 36 0 0 349210 7.4958 S
583 1 330 1 Hippach Miss. Jean Gertrude female 16 0 1 111361 57.9792 B18 C
584 1 642 1 Sagesser Mlle. Emma female 24 0 0 PC 17477 69.3 B35 C
585 0 398 2 McKane Mr. Peter David male 46 0 0 28403 26 S
586 0 700 3 Humblen Mr. Adolf Mathias Nicolai Olsen male 42 0 0 348121 7.65 F G63 S
587 0 78 3 Moutal Mr. Rahamin Haim male NA 0 0 374746 8.05 S
588 0 699 1 Thayer Mr. John Borland male 49 1 1 17421 110.8833 C68 C
589 1 428 2 Phillips Miss. Kate Florence ("Mrs Kate Louise Phillips Marshall") female 19 0 0 250655 26 S
590 0 70 3 Kink Mr. Vincenz male 26 2 0 315151 8.6625 S
591 0 846 3 Abbing Mr. Anthony male 42 0 0 C.A. 5547 7.55 S
592 0 768 3 Mangan Miss. Mary female 30.5 0 0 364850 7.75 Q
593 1 646 1 Harper Mr. Henry Sleeper male 48 1 0 PC 17572 76.7292 D33 C
594 1 497 1 Eustis Miss. Elizabeth Mussey female 54 1 0 36947 78.2667 D20 C
595 0 617 3 Danbom Mr. Ernst Gilbert male 34 1 1 347080 14.4 S
596 0 181 3 Sage Miss. Constance Gladys female NA 8 2 CA. 2343 69.55 S
597 0 65 1 Stewart Mr. Albert A male NA 0 0 PC 17605 27.7208 C
598 0 779 3 Kilgannon Mr. Thomas J male NA 0 0 36865 7.7375 Q
599 1 342 1 Fortune Miss. Alice Elizabeth female 24 3 2 19950 263 C23 C25 C27 S
600 0 553 3 O'Brien Mr. Timothy male NA 0 0 330979 7.8292 Q
601 0 207 3 Backstrom Mr. Karl Alfred male 32 1 0 3101278 15.85 S
602 1 319 1 Wick Miss. Mary Natalie female 31 0 2 36928 164.8667 C7 S
603 0 358 2 Funk Miss. Annie Clemmer female 38 0 0 237671 13 S
604 0 178 1 Isham Miss. Ann Elizabeth female 50 0 0 PC 17595 28.7125 C49 C
605 0 213 3 Perkin Mr. John Henry male 22 0 0 A/5 21174 7.25 S
606 0 462 3 Morley Mr. William male 34 0 0 364506 8.05 S
607 0 170 3 Ling Mr. Lee male 28 0 0 1601 56.4958 S
608 0 865 2 Gill Mr. John William male 24 0 0 233866 13 S
609 1 217 3 Honkanen Miss. Eliina female 27 0 0 STON/O2. 3101283 7.925 S
610 1 66 3 Moubarek Master. Gerios male NA 1 1 2661 15.2458 C
611 0 389 3 Sadlier Mr. Matthew male NA 0 0 367655 7.7292 Q
612 0 293 2 Levy Mr. Rene Jacques male 36 0 0 SC/Paris 2163 12.875 D C
613 0 214 2 Givard Mr. Hans Kristensen male 30 0 0 250646 13 S
614 1 326 1 Young Miss. Marie Grice female 36 0 0 PC 17760 135.6333 C32 C
615 0 283 3 de Pelsmaeker Mr. Alfons male 16 0 0 345778 9.5 S
616 0 481 3 Goodwin Master. Harold Victor male 9 5 2 CA 2144 46.9 S
617 0 192 2 Carbines Mr. William male 19 0 0 28424 13 S
618 0 345 2 Fox Mr. Stanley Hubert male 36 0 0 229236 13 S
619 1 609 2 Laroche Mrs. Joseph (Juliette Marie Louise Lafargue) female 22 1 2 SC/Paris 2123 41.5792 C
620 0 660 1 Newell Mr. Arthur Webster male 58 0 2 35273 113.275 D48 C
621 1 85 2 Ilett Miss. Bertha female 17 0 0 SO/C 14885 10.5 S
622 1 521 1 Perreault Miss. Anne female 30 0 0 12749 93.5 B73 S
623 1 644 3 Foo Mr. Choong male NA 0 0 1601 56.4958 S
624 1 831 3 Yasbeck Mrs. Antoni (Selini Alexander) female 15 1 0 2659 14.4542 C

298
cw_6/.ipynb_checkpoints/main-checkpoint.ipynb Normal file
View File

File diff suppressed because one or more lines are too long

20
cw_6/data6.tsv Normal file
View File

@ -0,0 +1,20 @@
21.252 -555.640
179.842 3840.141
118.162 2274.989
114.269 1146.575
121.444 1840.589
87.624 1663.894
170.039 3504.537
192.651 3708.239
12.390 -358.240
144.264 2444.162
169.900 3348.941
63.254 271.623
72.439 900.423
71.108 77.543
179.476 3313.424
169.084 2525.653
99.073 734.413
195.528 4067.410
131.023 2182.147
12.424 490.714
1 21.252 -555.640
2 179.842 3840.141
3 118.162 2274.989
4 114.269 1146.575
5 121.444 1840.589
6 87.624 1663.894
7 170.039 3504.537
8 192.651 3708.239
9 12.390 -358.240
10 144.264 2444.162
11 169.900 3348.941
12 63.254 271.623
13 72.439 900.423
14 71.108 77.543
15 179.476 3313.424
16 169.084 2525.653
17 99.073 734.413
18 195.528 4067.410
19 131.023 2182.147
20 12.424 490.714

319
cw_6/main.ipynb Normal file
View File

File diff suppressed because one or more lines are too long

703
cw_7/.ipynb_checkpoints/main-checkpoint.ipynb Normal file
View File

@ -0,0 +1,703 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 39,
"id": "ffd08cc9",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>state</th>\n",
" <th>county</th>\n",
" <th>community</th>\n",
" <th>communityname</th>\n",
" <th>fold</th>\n",
" <th>population</th>\n",
" <th>householdsize</th>\n",
" <th>racepctblack</th>\n",
" <th>racePctWhite</th>\n",
" <th>racePctAsian</th>\n",
" <th>...</th>\n",
" <th>LandArea</th>\n",
" <th>PopDens</th>\n",
" <th>PctUsePubTrans</th>\n",
" <th>PolicCars</th>\n",
" <th>PolicOperBudg</th>\n",
" <th>LemasPctPolicOnPatr</th>\n",
" <th>LemasGangUnitDeploy</th>\n",
" <th>LemasPctOfficDrugUn</th>\n",
" <th>PolicBudgPerPop</th>\n",
" <th>ViolentCrimesPerPop</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>36</td>\n",
" <td>1</td>\n",
" <td>1000</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0.15</td>\n",
" <td>0.31</td>\n",
" <td>0.40</td>\n",
" <td>0.63</td>\n",
" <td>0.14</td>\n",
" <td>...</td>\n",
" <td>0.06</td>\n",
" <td>0.39</td>\n",
" <td>0.84</td>\n",
" <td>0.06</td>\n",
" <td>0.06</td>\n",
" <td>0.91</td>\n",
" <td>0.5</td>\n",
" <td>0.88</td>\n",
" <td>0.26</td>\n",
" <td>0.49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>19</td>\n",
" <td>193</td>\n",
" <td>93926</td>\n",
" <td>94</td>\n",
" <td>1</td>\n",
" <td>0.11</td>\n",
" <td>0.43</td>\n",
" <td>0.04</td>\n",
" <td>0.89</td>\n",
" <td>0.09</td>\n",
" <td>...</td>\n",
" <td>0.16</td>\n",
" <td>0.12</td>\n",
" <td>0.07</td>\n",
" <td>0.04</td>\n",
" <td>0.01</td>\n",
" <td>0.81</td>\n",
" <td>1</td>\n",
" <td>0.56</td>\n",
" <td>0.09</td>\n",
" <td>0.63</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>51</td>\n",
" <td>680</td>\n",
" <td>47672</td>\n",
" <td>52</td>\n",
" <td>1</td>\n",
" <td>0.09</td>\n",
" <td>0.43</td>\n",
" <td>0.51</td>\n",
" <td>0.58</td>\n",
" <td>0.04</td>\n",
" <td>...</td>\n",
" <td>0.14</td>\n",
" <td>0.11</td>\n",
" <td>0.19</td>\n",
" <td>0.05</td>\n",
" <td>0.01</td>\n",
" <td>0.75</td>\n",
" <td>0</td>\n",
" <td>0.60</td>\n",
" <td>0.1</td>\n",
" <td>0.31</td>\n",
" </tr>\n",
" <tr>\n",
" <th>68</th>\n",
" <td>34</td>\n",
" <td>23</td>\n",
" <td>58200</td>\n",
" <td>79</td>\n",
" <td>1</td>\n",
" <td>0.05</td>\n",
" <td>0.59</td>\n",
" <td>0.23</td>\n",
" <td>0.39</td>\n",
" <td>0.09</td>\n",
" <td>...</td>\n",
" <td>0.01</td>\n",
" <td>0.73</td>\n",
" <td>0.28</td>\n",
" <td>0</td>\n",
" <td>0.02</td>\n",
" <td>0.64</td>\n",
" <td>0</td>\n",
" <td>1.00</td>\n",
" <td>0.23</td>\n",
" <td>0.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74</th>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>46520</td>\n",
" <td>58</td>\n",
" <td>1</td>\n",
" <td>0.08</td>\n",
" <td>0.39</td>\n",
" <td>0.08</td>\n",
" <td>0.85</td>\n",
" <td>0.04</td>\n",
" <td>...</td>\n",
" <td>0.07</td>\n",
" <td>0.21</td>\n",
" <td>0.04</td>\n",
" <td>0.02</td>\n",
" <td>0.01</td>\n",
" <td>0.7</td>\n",
" <td>1</td>\n",
" <td>0.44</td>\n",
" <td>0.11</td>\n",
" <td>0.14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1880</th>\n",
" <td>34</td>\n",
" <td>39</td>\n",
" <td>40350</td>\n",
" <td>50</td>\n",
" <td>10</td>\n",
" <td>0.04</td>\n",
" <td>0.39</td>\n",
" <td>0.39</td>\n",
" <td>0.65</td>\n",
" <td>0.09</td>\n",
" <td>...</td>\n",
" <td>0.03</td>\n",
" <td>0.28</td>\n",
" <td>0.32</td>\n",
" <td>0.02</td>\n",
" <td>0.01</td>\n",
" <td>0.85</td>\n",
" <td>0</td>\n",
" <td>0.99</td>\n",
" <td>0.19</td>\n",
" <td>0.22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1963</th>\n",
" <td>36</td>\n",
" <td>27</td>\n",
" <td>59641</td>\n",
" <td>85</td>\n",
" <td>10</td>\n",
" <td>0.03</td>\n",
" <td>0.32</td>\n",
" <td>0.61</td>\n",
" <td>0.47</td>\n",
" <td>0.09</td>\n",
" <td>...</td>\n",
" <td>0.01</td>\n",
" <td>0.47</td>\n",
" <td>0.42</td>\n",
" <td>0.07</td>\n",
" <td>0.08</td>\n",
" <td>0.49</td>\n",
" <td>0</td>\n",
" <td>0.37</td>\n",
" <td>1</td>\n",
" <td>0.45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981</th>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>35650</td>\n",
" <td>36</td>\n",
" <td>10</td>\n",
" <td>0.07</td>\n",
" <td>0.38</td>\n",
" <td>0.17</td>\n",
" <td>0.84</td>\n",
" <td>0.11</td>\n",
" <td>...</td>\n",
" <td>0.09</td>\n",
" <td>0.13</td>\n",
" <td>0.17</td>\n",
" <td>0.02</td>\n",
" <td>0.01</td>\n",
" <td>0.72</td>\n",
" <td>0</td>\n",
" <td>0.62</td>\n",
" <td>0.15</td>\n",
" <td>0.07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991</th>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>80070</td>\n",
" <td>110</td>\n",
" <td>10</td>\n",
" <td>0.16</td>\n",
" <td>0.37</td>\n",
" <td>0.25</td>\n",
" <td>0.69</td>\n",
" <td>0.04</td>\n",
" <td>...</td>\n",
" <td>0.08</td>\n",
" <td>0.32</td>\n",
" <td>0.18</td>\n",
" <td>0.08</td>\n",
" <td>0.06</td>\n",
" <td>0.78</td>\n",
" <td>0</td>\n",
" <td>0.91</td>\n",
" <td>0.28</td>\n",
" <td>0.23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1992</th>\n",
" <td>25</td>\n",
" <td>17</td>\n",
" <td>72600</td>\n",
" <td>107</td>\n",
" <td>10</td>\n",
" <td>0.08</td>\n",
" <td>0.51</td>\n",
" <td>0.06</td>\n",
" <td>0.87</td>\n",
" <td>0.22</td>\n",
" <td>...</td>\n",
" <td>0.03</td>\n",
" <td>0.38</td>\n",
" <td>0.33</td>\n",
" <td>0.02</td>\n",
" <td>0.02</td>\n",
" <td>0.79</td>\n",
" <td>0</td>\n",
" <td>0.22</td>\n",
" <td>0.18</td>\n",
" <td>0.19</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>123 rows × 128 columns</p>\n",
"</div>"
],
"text/plain": [
" state county community communityname fold population householdsize \\\n",
"16 36 1 1000 0 1 0.15 0.31 \n",
"23 19 193 93926 94 1 0.11 0.43 \n",
"33 51 680 47672 52 1 0.09 0.43 \n",
"68 34 23 58200 79 1 0.05 0.59 \n",
"74 9 9 46520 58 1 0.08 0.39 \n",
"... ... ... ... ... ... ... ... \n",
"1880 34 39 40350 50 10 0.04 0.39 \n",
"1963 36 27 59641 85 10 0.03 0.32 \n",
"1981 9 9 35650 36 10 0.07 0.38 \n",
"1991 9 9 80070 110 10 0.16 0.37 \n",
"1992 25 17 72600 107 10 0.08 0.51 \n",
"\n",
" racepctblack racePctWhite racePctAsian ... LandArea PopDens \\\n",
"16 0.40 0.63 0.14 ... 0.06 0.39 \n",
"23 0.04 0.89 0.09 ... 0.16 0.12 \n",
"33 0.51 0.58 0.04 ... 0.14 0.11 \n",
"68 0.23 0.39 0.09 ... 0.01 0.73 \n",
"74 0.08 0.85 0.04 ... 0.07 0.21 \n",
"... ... ... ... ... ... ... \n",
"1880 0.39 0.65 0.09 ... 0.03 0.28 \n",
"1963 0.61 0.47 0.09 ... 0.01 0.47 \n",
"1981 0.17 0.84 0.11 ... 0.09 0.13 \n",
"1991 0.25 0.69 0.04 ... 0.08 0.32 \n",
"1992 0.06 0.87 0.22 ... 0.03 0.38 \n",
"\n",
" PctUsePubTrans PolicCars PolicOperBudg LemasPctPolicOnPatr \\\n",
"16 0.84 0.06 0.06 0.91 \n",
"23 0.07 0.04 0.01 0.81 \n",
"33 0.19 0.05 0.01 0.75 \n",
"68 0.28 0 0.02 0.64 \n",
"74 0.04 0.02 0.01 0.7 \n",
"... ... ... ... ... \n",
"1880 0.32 0.02 0.01 0.85 \n",
"1963 0.42 0.07 0.08 0.49 \n",
"1981 0.17 0.02 0.01 0.72 \n",
"1991 0.18 0.08 0.06 0.78 \n",
"1992 0.33 0.02 0.02 0.79 \n",
"\n",
" LemasGangUnitDeploy LemasPctOfficDrugUn PolicBudgPerPop \\\n",
"16 0.5 0.88 0.26 \n",
"23 1 0.56 0.09 \n",
"33 0 0.60 0.1 \n",
"68 0 1.00 0.23 \n",
"74 1 0.44 0.11 \n",
"... ... ... ... \n",
"1880 0 0.99 0.19 \n",
"1963 0 0.37 1 \n",
"1981 0 0.62 0.15 \n",
"1991 0 0.91 0.28 \n",
"1992 0 0.22 0.18 \n",
"\n",
" ViolentCrimesPerPop \n",
"16 0.49 \n",
"23 0.63 \n",
"33 0.31 \n",
"68 0.50 \n",
"74 0.14 \n",
"... ... \n",
"1880 0.22 \n",
"1963 0.45 \n",
"1981 0.07 \n",
"1991 0.23 \n",
"1992 0.19 \n",
"\n",
"[123 rows x 128 columns]"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import sklearn\n",
"from sklearn.preprocessing import PolynomialFeatures, LabelEncoder\n",
"from sklearn.linear_model import LinearRegression, Ridge, RidgeCV\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.metrics import mean_squared_error\n",
"\n",
"col_names = [\n",
"\"state\",\n",
"\"county\",\n",
"\"community\",\n",
"\"communityname\",\n",
"\"fold\",\n",
"\"population\",\n",
"\"householdsize\",\n",
"\"racepctblack\",\n",
"\"racePctWhite\",\n",
"\"racePctAsian\",\n",
"\"racePctHisp\",\n",
"\"agePct12t21\",\n",
"\"agePct12t29\",\n",
"\"agePct16t24\",\n",
"\"agePct65up\",\n",
"\"numbUrban\",\n",
"\"pctUrban\",\n",
"\"medIncome\",\n",
"\"pctWWage\",\n",
"\"pctWFarmSelf\",\n",
"\"pctWInvInc\",\n",
"\"pctWSocSec\",\n",
"\"pctWPubAsst\",\n",
"\"pctWRetire\",\n",
"\"medFamInc\",\n",
"\"perCapInc\",\n",
"\"whitePerCap\",\n",
"\"blackPerCap\",\n",
"\"indianPerCap\",\n",
"\"AsianPerCap\",\n",
"\"OtherPerCap\",\n",
"\"HispPerCap\",\n",
"\"NumUnderPov\",\n",
"\"PctPopUnderPov\",\n",
"\"PctLess9thGrade\",\n",
"\"PctNotHSGrad\",\n",
"\"PctBSorMore\",\n",
"\"PctUnemployed\",\n",
"\"PctEmploy\",\n",
"\"PctEmplManu\",\n",
"\"PctEmplProfServ\",\n",
"\"PctOccupManu\",\n",
"\"PctOccupMgmtProf\",\n",
"\"MalePctDivorce\",\n",
"\"MalePctNevMarr\",\n",
"\"FemalePctDiv\",\n",
"\"TotalPctDiv\",\n",
"\"PersPerFam\",\n",
"\"PctFam2Par\",\n",
"\"PctKids2Par\",\n",
"\"PctYoungKids2Par\",\n",
"\"PctTeen2Par\",\n",
"\"PctWorkMomYoungKids\",\n",
"\"PctWorkMom\",\n",
"\"NumIlleg\",\n",
"\"PctIlleg\",\n",
"\"NumImmig\",\n",
"\"PctImmigRecent\",\n",
"\"PctImmigRec5\",\n",
"\"PctImmigRec8\",\n",
"\"PctImmigRec10\",\n",
"\"PctRecentImmig\",\n",
"\"PctRecImmig5\",\n",
"\"PctRecImmig8\",\n",
"\"PctRecImmig10\",\n",
"\"PctSpeakEnglOnly\",\n",
"\"PctNotSpeakEnglWell\",\n",
"\"PctLargHouseFam\",\n",
"\"PctLargHouseOccup\",\n",
"\"PersPerOccupHous\",\n",
"\"PersPerOwnOccHous\",\n",
"\"PersPerRentOccHous\",\n",
"\"PctPersOwnOccup\",\n",
"\"PctPersDenseHous\",\n",
"\"PctHousLess3BR\",\n",
"\"MedNumBR\",\n",
"\"HousVacant\",\n",
"\"PctHousOccup\",\n",
"\"PctHousOwnOcc\",\n",
"\"PctVacantBoarded\",\n",
"\"PctVacMore6Mos\",\n",
"\"MedYrHousBuilt\",\n",
"\"PctHousNoPhone\",\n",
"\"PctWOFullPlumb\",\n",
"\"OwnOccLowQuart\",\n",
"\"OwnOccMedVal\",\n",
"\"OwnOccHiQuart\",\n",
"\"RentLowQ\",\n",
"\"RentMedian\",\n",
"\"RentHighQ\",\n",
"\"MedRent\",\n",
"\"MedRentPctHousInc\",\n",
"\"MedOwnCostPctInc\",\n",
"\"MedOwnCostPctIncNoMtg\",\n",
"\"NumInShelters\",\n",
"\"NumStreet\",\n",
"\"PctForeignBorn\",\n",
"\"PctBornSameState\",\n",
"\"PctSameHouse85\",\n",
"\"PctSameCity85\",\n",
"\"PctSameState85\",\n",
"\"LemasSwornFT\",\n",
"\"LemasSwFTPerPop\",\n",
"\"LemasSwFTFieldOps\",\n",
"\"LemasSwFTFieldPerPop\",\n",
"\"LemasTotalReq\",\n",
"\"LemasTotReqPerPop\",\n",
"\"PolicReqPerOffic\",\n",
"\"PolicPerPop\",\n",
"\"RacialMatchCommPol\",\n",
"\"PctPolicWhite\",\n",
"\"PctPolicBlack\",\n",
"\"PctPolicHisp\",\n",
"\"PctPolicAsian\",\n",
"\"PctPolicMinor\",\n",
"\"OfficAssgnDrugUnits\",\n",
"\"NumKindsDrugsSeiz\",\n",
"\"PolicAveOTWorked\",\n",
"\"LandArea\",\n",
"\"PopDens\",\n",
"\"PctUsePubTrans\",\n",
"\"PolicCars\",\n",
"\"PolicOperBudg\",\n",
"\"LemasPctPolicOnPatr\",\n",
"\"LemasGangUnitDeploy\",\n",
"\"LemasPctOfficDrugUn\",\n",
"\"PolicBudgPerPop\",\n",
"\"ViolentCrimesPerPop\"]\n",
"\n",
"df = pd.read_csv('communities.data',names=col_names)\n",
"df = df.replace('?',None)\n",
"df = df.dropna(axis='rows')\n",
"\n",
"le = LabelEncoder()\n",
"le.fit(df['communityname'].unique())\n",
"df['communityname'] = le.transform(df['communityname'])\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "9c0f6f6d",
"metadata": {},
"outputs": [],
"source": [
"X = df.loc[:,df.columns != 'ViolentCrimesPerPop']\n",
"y = df['ViolentCrimesPerPop']"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "2bdc2e77",
"metadata": {},
"outputs": [],
"source": [
"X_train, X_test, y_train, y_test = train_test_split(poly_features, y, test_size=0.3)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "2bbd2ddb",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/tonywesoly/.local/lib/python3.8/site-packages/sklearn/linear_model/_ridge.py:251: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead.\n",
" warnings.warn(\n"
]
},
{
"data": {
"text/plain": [
"1.1533542718655332"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ridgecv = RidgeCV(alphas=np.arange(1, 100, 5), scoring='r2', cv=10)\n",
"ridgecv.fit(X, y)\n",
"ridge = Ridge(alpha=ridgecv.alpha_)\n",
"ridge.fit(X_train, y_train)\n",
"ridge_y_predicted = ridge.predict(X_test)\n",
"ridge_rmse = np.sqrt(mean_squared_error(y_test, ridge_y_predicted))\n",
"ridge_rmse"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "dbfe728b",
"metadata": {},
"outputs": [],
"source": [
"#poly = PolynomialFeatures(degree=11, include_bias=False)\n",
"#poly_features = poly.fit_transform(X)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "3be15622",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1.6511181528162753"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"poly_reg_model = LinearRegression()\n",
"poly_reg_model.fit(X_train,y_train)\n",
"poly_reg_y_predicted = poly_reg_model.predict(X_test)\n",
"poly_reg_rmse = np.sqrt(mean_squared_error(y_test, poly_reg_y_predicted))\n",
"poly_reg_rmse"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "4ab0949a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.3085495600528652"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
"lin_reg_model = LinearRegression()\n",
"lin_reg_model.fit(X_train, y_train)\n",
"lin_reg_y_predicted = lin_reg_model.predict(X_test)\n",
"lin_reg_rmse = np.sqrt(mean_squared_error(y_test, lin_reg_y_predicted))\n",
"lin_reg_rmse"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "99365180",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "0e0b2f8e",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

1994
cw_7/communities.data Normal file
View File

File diff suppressed because it is too large Load Diff

522
cw_7/communities.names Normal file
View File

@ -0,0 +1,522 @@
Title: Communities and Crime
Abstract: Communities within the United States. The data combines socio-economic data
from the 1990 US Census, law enforcement data from the 1990 US LEMAS survey, and crime
data from the 1995 FBI UCR.
-----------------------------------------------------------------------------------------
Data Set Characteristics: Multivariate
Attribute Characteristics: Real
Associated Tasks: Regression
Number of Instances: 1994
Number of Attributes: 128
Missing Values? Yes
Area: Social
Date Donated: 2009-07-13
-----------------------------------------------------------------------------------------
Source:
Creator: Michael Redmond (redmond 'at' lasalle.edu); Computer Science; La Salle
University; Philadelphia, PA, 19141, USA
-- culled from 1990 US Census, 1995 US FBI Uniform Crime Report, 1990 US Law
Enforcement Management and Administrative Statistics Survey, available from ICPSR at U
of Michigan.
-- Donor: Michael Redmond (redmond 'at' lasalle.edu); Computer Science; La Salle
University; Philadelphia, PA, 19141, USA
-- Date: July 2009
-----------------------------------------------------------------------------------------
Data Set Information:
Many variables are included so that algorithms that select or learn weights for
attributes could be tested. However, clearly unrelated attributes were not included;
attributes were picked if there was any plausible connection to crime (N=122), plus
the attribute to be predicted (Per Capita Violent Crimes). The variables included in
the dataset involve the community, such as the percent of the population considered
urban, and the median family income, and involving law enforcement, such as per capita
number of police officers, and percent of officers assigned to drug units.
The per capita violent crimes variable was calculated using population and the sum of
crime variables considered violent crimes in the United States: murder, rape, robbery,
and assault. There was apparently some controversy in some states concerning the
counting of rapes. These resulted in missing values for rape, which resulted in
incorrect values for per capita violent crime. These cities are not included in the
dataset. Many of these omitted communities were from the midwestern USA.
Data is described below based on original values. All numeric data was normalized into
the decimal range 0.00-1.00 using an Unsupervised, equal-interval binning method.
Attributes retain their distribution and skew (hence for example the population
attribute has a mean value of 0.06 because most communities are small). E.g. An
attribute described as 'mean people per household' is actually the normalized (0-1)
version of that value.
The normalization preserves rough ratios of values WITHIN an attribute (e.g. double
the value for double the population within the available precision - except for
extreme values (all values more than 3 SD above the mean are normalized to 1.00; all
values more than 3 SD below the mean are nromalized to 0.00)).
However, the normalization does not preserve relationships between values BETWEEN
attributes (e.g. it would not be meaningful to compare the value for whitePerCap with
the value for blackPerCap for a community)
A limitation was that the LEMAS survey was of the police departments with at least 100
officers, plus a random sample of smaller departments. For our purposes, communities
not found in both census and crime datasets were omitted. Many communities are missing
LEMAS data.
.arff header for Weka:
@relation crimepredict
@attribute state numeric
@attribute county numeric
@attribute community numeric
@attribute communityname string
@attribute fold numeric
@attribute population numeric
@attribute householdsize numeric
@attribute racepctblack numeric
@attribute racePctWhite numeric
@attribute racePctAsian numeric
@attribute racePctHisp numeric
@attribute agePct12t21 numeric
@attribute agePct12t29 numeric
@attribute agePct16t24 numeric
@attribute agePct65up numeric
@attribute numbUrban numeric
@attribute pctUrban numeric
@attribute medIncome numeric
@attribute pctWWage numeric
@attribute pctWFarmSelf numeric
@attribute pctWInvInc numeric
@attribute pctWSocSec numeric
@attribute pctWPubAsst numeric
@attribute pctWRetire numeric
@attribute medFamInc numeric
@attribute perCapInc numeric
@attribute whitePerCap numeric
@attribute blackPerCap numeric
@attribute indianPerCap numeric
@attribute AsianPerCap numeric
@attribute OtherPerCap numeric
@attribute HispPerCap numeric
@attribute NumUnderPov numeric
@attribute PctPopUnderPov numeric
@attribute PctLess9thGrade numeric
@attribute PctNotHSGrad numeric
@attribute PctBSorMore numeric
@attribute PctUnemployed numeric
@attribute PctEmploy numeric
@attribute PctEmplManu numeric
@attribute PctEmplProfServ numeric
@attribute PctOccupManu numeric
@attribute PctOccupMgmtProf numeric
@attribute MalePctDivorce numeric
@attribute MalePctNevMarr numeric
@attribute FemalePctDiv numeric
@attribute TotalPctDiv numeric
@attribute PersPerFam numeric
@attribute PctFam2Par numeric
@attribute PctKids2Par numeric
@attribute PctYoungKids2Par numeric
@attribute PctTeen2Par numeric
@attribute PctWorkMomYoungKids numeric
@attribute PctWorkMom numeric
@attribute NumIlleg numeric
@attribute PctIlleg numeric
@attribute NumImmig numeric
@attribute PctImmigRecent numeric
@attribute PctImmigRec5 numeric
@attribute PctImmigRec8 numeric
@attribute PctImmigRec10 numeric
@attribute PctRecentImmig numeric
@attribute PctRecImmig5 numeric
@attribute PctRecImmig8 numeric
@attribute PctRecImmig10 numeric
@attribute PctSpeakEnglOnly numeric
@attribute PctNotSpeakEnglWell numeric
@attribute PctLargHouseFam numeric
@attribute PctLargHouseOccup numeric
@attribute PersPerOccupHous numeric
@attribute PersPerOwnOccHous numeric
@attribute PersPerRentOccHous numeric
@attribute PctPersOwnOccup numeric
@attribute PctPersDenseHous numeric
@attribute PctHousLess3BR numeric
@attribute MedNumBR numeric
@attribute HousVacant numeric
@attribute PctHousOccup numeric
@attribute PctHousOwnOcc numeric
@attribute PctVacantBoarded numeric
@attribute PctVacMore6Mos numeric
@attribute MedYrHousBuilt numeric
@attribute PctHousNoPhone numeric
@attribute PctWOFullPlumb numeric
@attribute OwnOccLowQuart numeric
@attribute OwnOccMedVal numeric
@attribute OwnOccHiQuart numeric
@attribute RentLowQ numeric
@attribute RentMedian numeric
@attribute RentHighQ numeric
@attribute MedRent numeric
@attribute MedRentPctHousInc numeric
@attribute MedOwnCostPctInc numeric
@attribute MedOwnCostPctIncNoMtg numeric
@attribute NumInShelters numeric
@attribute NumStreet numeric
@attribute PctForeignBorn numeric
@attribute PctBornSameState numeric
@attribute PctSameHouse85 numeric
@attribute PctSameCity85 numeric
@attribute PctSameState85 numeric
@attribute LemasSwornFT numeric
@attribute LemasSwFTPerPop numeric
@attribute LemasSwFTFieldOps numeric
@attribute LemasSwFTFieldPerPop numeric
@attribute LemasTotalReq numeric
@attribute LemasTotReqPerPop numeric
@attribute PolicReqPerOffic numeric
@attribute PolicPerPop numeric
@attribute RacialMatchCommPol numeric
@attribute PctPolicWhite numeric
@attribute PctPolicBlack numeric
@attribute PctPolicHisp numeric
@attribute PctPolicAsian numeric
@attribute PctPolicMinor numeric
@attribute OfficAssgnDrugUnits numeric
@attribute NumKindsDrugsSeiz numeric
@attribute PolicAveOTWorked numeric
@attribute LandArea numeric
@attribute PopDens numeric
@attribute PctUsePubTrans numeric
@attribute PolicCars numeric
@attribute PolicOperBudg numeric
@attribute LemasPctPolicOnPatr numeric
@attribute LemasGangUnitDeploy numeric
@attribute LemasPctOfficDrugUn numeric
@attribute PolicBudgPerPop numeric
@attribute ViolentCrimesPerPop numeric
@data
-----------------------------------------------------------------------------------------
Attribute Information:
Attribute Information: (122 predictive, 5 non-predictive, 1 goal)
-- state: US state (by number) - not counted as predictive above, but if considered, should be consided nominal (nominal)
-- county: numeric code for county - not predictive, and many missing values (numeric)
-- community: numeric code for community - not predictive and many missing values (numeric)
-- communityname: community name - not predictive - for information only (string)
-- fold: fold number for non-random 10 fold cross validation, potentially useful for debugging, paired tests - not predictive (numeric)
-- population: population for community: (numeric - decimal)
-- householdsize: mean people per household (numeric - decimal)
-- racepctblack: percentage of population that is african american (numeric - decimal)
-- racePctWhite: percentage of population that is caucasian (numeric - decimal)
-- racePctAsian: percentage of population that is of asian heritage (numeric - decimal)
-- racePctHisp: percentage of population that is of hispanic heritage (numeric - decimal)
-- agePct12t21: percentage of population that is 12-21 in age (numeric - decimal)
-- agePct12t29: percentage of population that is 12-29 in age (numeric - decimal)
-- agePct16t24: percentage of population that is 16-24 in age (numeric - decimal)
-- agePct65up: percentage of population that is 65 and over in age (numeric - decimal)
-- numbUrban: number of people living in areas classified as urban (numeric - decimal)
-- pctUrban: percentage of people living in areas classified as urban (numeric - decimal)
-- medIncome: median household income (numeric - decimal)
-- pctWWage: percentage of households with wage or salary income in 1989 (numeric - decimal)
-- pctWFarmSelf: percentage of households with farm or self employment income in 1989 (numeric - decimal)
-- pctWInvInc: percentage of households with investment / rent income in 1989 (numeric - decimal)
-- pctWSocSec: percentage of households with social security income in 1989 (numeric - decimal)
-- pctWPubAsst: percentage of households with public assistance income in 1989 (numeric - decimal)
-- pctWRetire: percentage of households with retirement income in 1989 (numeric - decimal)
-- medFamInc: median family income (differs from household income for non-family households) (numeric - decimal)
-- perCapInc: per capita income (numeric - decimal)
-- whitePerCap: per capita income for caucasians (numeric - decimal)
-- blackPerCap: per capita income for african americans (numeric - decimal)
-- indianPerCap: per capita income for native americans (numeric - decimal)
-- AsianPerCap: per capita income for people with asian heritage (numeric - decimal)
-- OtherPerCap: per capita income for people with 'other' heritage (numeric - decimal)
-- HispPerCap: per capita income for people with hispanic heritage (numeric - decimal)
-- NumUnderPov: number of people under the poverty level (numeric - decimal)
-- PctPopUnderPov: percentage of people under the poverty level (numeric - decimal)
-- PctLess9thGrade: percentage of people 25 and over with less than a 9th grade education (numeric - decimal)
-- PctNotHSGrad: percentage of people 25 and over that are not high school graduates (numeric - decimal)
-- PctBSorMore: percentage of people 25 and over with a bachelors degree or higher education (numeric - decimal)
-- PctUnemployed: percentage of people 16 and over, in the labor force, and unemployed (numeric - decimal)
-- PctEmploy: percentage of people 16 and over who are employed (numeric - decimal)
-- PctEmplManu: percentage of people 16 and over who are employed in manufacturing (numeric - decimal)
-- PctEmplProfServ: percentage of people 16 and over who are employed in professional services (numeric - decimal)
-- PctOccupManu: percentage of people 16 and over who are employed in manufacturing (numeric - decimal) ########
-- PctOccupMgmtProf: percentage of people 16 and over who are employed in management or professional occupations (numeric - decimal)
-- MalePctDivorce: percentage of males who are divorced (numeric - decimal)
-- MalePctNevMarr: percentage of males who have never married (numeric - decimal)
-- FemalePctDiv: percentage of females who are divorced (numeric - decimal)
-- TotalPctDiv: percentage of population who are divorced (numeric - decimal)
-- PersPerFam: mean number of people per family (numeric - decimal)
-- PctFam2Par: percentage of families (with kids) that are headed by two parents (numeric - decimal)
-- PctKids2Par: percentage of kids in family housing with two parents (numeric - decimal)
-- PctYoungKids2Par: percent of kids 4 and under in two parent households (numeric - decimal)
-- PctTeen2Par: percent of kids age 12-17 in two parent households (numeric - decimal)
-- PctWorkMomYoungKids: percentage of moms of kids 6 and under in labor force (numeric - decimal)
-- PctWorkMom: percentage of moms of kids under 18 in labor force (numeric - decimal)
-- NumIlleg: number of kids born to never married (numeric - decimal)
-- PctIlleg: percentage of kids born to never married (numeric - decimal)
-- NumImmig: total number of people known to be foreign born (numeric - decimal)
-- PctImmigRecent: percentage of _immigrants_ who immigated within last 3 years (numeric - decimal)
-- PctImmigRec5: percentage of _immigrants_ who immigated within last 5 years (numeric - decimal)
-- PctImmigRec8: percentage of _immigrants_ who immigated within last 8 years (numeric - decimal)
-- PctImmigRec10: percentage of _immigrants_ who immigated within last 10 years (numeric - decimal)
-- PctRecentImmig: percent of _population_ who have immigrated within the last 3 years (numeric - decimal)
-- PctRecImmig5: percent of _population_ who have immigrated within the last 5 years (numeric - decimal)
-- PctRecImmig8: percent of _population_ who have immigrated within the last 8 years (numeric - decimal)
-- PctRecImmig10: percent of _population_ who have immigrated within the last 10 years (numeric - decimal)
-- PctSpeakEnglOnly: percent of people who speak only English (numeric - decimal)
-- PctNotSpeakEnglWell: percent of people who do not speak English well (numeric - decimal)
-- PctLargHouseFam: percent of family households that are large (6 or more) (numeric - decimal)
-- PctLargHouseOccup: percent of all occupied households that are large (6 or more people) (numeric - decimal)
-- PersPerOccupHous: mean persons per household (numeric - decimal)
-- PersPerOwnOccHous: mean persons per owner occupied household (numeric - decimal)
-- PersPerRentOccHous: mean persons per rental household (numeric - decimal)
-- PctPersOwnOccup: percent of people in owner occupied households (numeric - decimal)
-- PctPersDenseHous: percent of persons in dense housing (more than 1 person per room) (numeric - decimal)
-- PctHousLess3BR: percent of housing units with less than 3 bedrooms (numeric - decimal)
-- MedNumBR: median number of bedrooms (numeric - decimal)
-- HousVacant: number of vacant households (numeric - decimal)
-- PctHousOccup: percent of housing occupied (numeric - decimal)
-- PctHousOwnOcc: percent of households owner occupied (numeric - decimal)
-- PctVacantBoarded: percent of vacant housing that is boarded up (numeric - decimal)
-- PctVacMore6Mos: percent of vacant housing that has been vacant more than 6 months (numeric - decimal)
-- MedYrHousBuilt: median year housing units built (numeric - decimal)
-- PctHousNoPhone: percent of occupied housing units without phone (in 1990, this was rare!) (numeric - decimal)
-- PctWOFullPlumb: percent of housing without complete plumbing facilities (numeric - decimal)
-- OwnOccLowQuart: owner occupied housing - lower quartile value (numeric - decimal)
-- OwnOccMedVal: owner occupied housing - median value (numeric - decimal)
-- OwnOccHiQuart: owner occupied housing - upper quartile value (numeric - decimal)
-- RentLowQ: rental housing - lower quartile rent (numeric - decimal)
-- RentMedian: rental housing - median rent (Census variable H32B from file STF1A) (numeric - decimal)
-- RentHighQ: rental housing - upper quartile rent (numeric - decimal)
-- MedRent: median gross rent (Census variable H43A from file STF3A - includes utilities) (numeric - decimal)
-- MedRentPctHousInc: median gross rent as a percentage of household income (numeric - decimal)
-- MedOwnCostPctInc: median owners cost as a percentage of household income - for owners with a mortgage (numeric - decimal)
-- MedOwnCostPctIncNoMtg: median owners cost as a percentage of household income - for owners without a mortgage (numeric - decimal)
-- NumInShelters: number of people in homeless shelters (numeric - decimal)
-- NumStreet: number of homeless people counted in the street (numeric - decimal)
-- PctForeignBorn: percent of people foreign born (numeric - decimal)
-- PctBornSameState: percent of people born in the same state as currently living (numeric - decimal)
-- PctSameHouse85: percent of people living in the same house as in 1985 (5 years before) (numeric - decimal)
-- PctSameCity85: percent of people living in the same city as in 1985 (5 years before) (numeric - decimal)
-- PctSameState85: percent of people living in the same state as in 1985 (5 years before) (numeric - decimal)
-- LemasSwornFT: number of sworn full time police officers (numeric - decimal)
-- LemasSwFTPerPop: sworn full time police officers per 100K population (numeric - decimal)
-- LemasSwFTFieldOps: number of sworn full time police officers in field operations (on the street as opposed to administrative etc) (numeric - decimal)
-- LemasSwFTFieldPerPop: sworn full time police officers in field operations (on the street as opposed to administrative etc) per 100K population (numeric - decimal)
-- LemasTotalReq: total requests for police (numeric - decimal)
-- LemasTotReqPerPop: total requests for police per 100K popuation (numeric - decimal)
-- PolicReqPerOffic: total requests for police per police officer (numeric - decimal)
-- PolicPerPop: police officers per 100K population (numeric - decimal)
-- RacialMatchCommPol: a measure of the racial match between the community and the police force. High values indicate proportions in community and police force are similar (numeric - decimal)
-- PctPolicWhite: percent of police that are caucasian (numeric - decimal)
-- PctPolicBlack: percent of police that are african american (numeric - decimal)
-- PctPolicHisp: percent of police that are hispanic (numeric - decimal)
-- PctPolicAsian: percent of police that are asian (numeric - decimal)
-- PctPolicMinor: percent of police that are minority of any kind (numeric - decimal)
-- OfficAssgnDrugUnits: number of officers assigned to special drug units (numeric - decimal)
-- NumKindsDrugsSeiz: number of different kinds of drugs seized (numeric - decimal)
-- PolicAveOTWorked: police average overtime worked (numeric - decimal)
-- LandArea: land area in square miles (numeric - decimal)
-- PopDens: population density in persons per square mile (numeric - decimal)
-- PctUsePubTrans: percent of people using public transit for commuting (numeric - decimal)
-- PolicCars: number of police cars (numeric - decimal)
-- PolicOperBudg: police operating budget (numeric - decimal)
-- LemasPctPolicOnPatr: percent of sworn full time police officers on patrol (numeric - decimal)
-- LemasGangUnitDeploy: gang unit deployed (numeric - decimal - but really ordinal - 0 means NO, 1 means YES, 0.5 means Part Time)
-- LemasPctOfficDrugUn: percent of officers assigned to drug units (numeric - decimal)
-- PolicBudgPerPop: police operating budget per population (numeric - decimal)
-- ViolentCrimesPerPop: total number of violent crimes per 100K popuation (numeric - decimal) GOAL attribute (to be predicted)
Summary Statistics:
Min Max Mean SD Correl Median Mode Missing
population 0 1 0.06 0.13 0.37 0.02 0.01 0
householdsize 0 1 0.46 0.16 -0.03 0.44 0.41 0
racepctblack 0 1 0.18 0.25 0.63 0.06 0.01 0
racePctWhite 0 1 0.75 0.24 -0.68 0.85 0.98 0
racePctAsian 0 1 0.15 0.21 0.04 0.07 0.02 0
racePctHisp 0 1 0.14 0.23 0.29 0.04 0.01 0
agePct12t21 0 1 0.42 0.16 0.06 0.4 0.38 0
agePct12t29 0 1 0.49 0.14 0.15 0.48 0.49 0
agePct16t24 0 1 0.34 0.17 0.10 0.29 0.29 0
agePct65up 0 1 0.42 0.18 0.07 0.42 0.47 0
numbUrban 0 1 0.06 0.13 0.36 0.03 0 0
pctUrban 0 1 0.70 0.44 0.08 1 1 0
medIncome 0 1 0.36 0.21 -0.42 0.32 0.23 0
pctWWage 0 1 0.56 0.18 -0.31 0.56 0.58 0
pctWFarmSelf 0 1 0.29 0.20 -0.15 0.23 0.16 0
pctWInvInc 0 1 0.50 0.18 -0.58 0.48 0.41 0
pctWSocSec 0 1 0.47 0.17 0.12 0.475 0.56 0
pctWPubAsst 0 1 0.32 0.22 0.57 0.26 0.1 0
pctWRetire 0 1 0.48 0.17 -0.10 0.47 0.44 0
medFamInc 0 1 0.38 0.20 -0.44 0.33 0.25 0
perCapInc 0 1 0.35 0.19 -0.35 0.3 0.23 0
whitePerCap 0 1 0.37 0.19 -0.21 0.32 0.3 0
blackPerCap 0 1 0.29 0.17 -0.28 0.25 0.18 0
indianPerCap 0 1 0.20 0.16 -0.09 0.17 0 0
AsianPerCap 0 1 0.32 0.20 -0.16 0.28 0.18 0
OtherPerCap 0 1 0.28 0.19 -0.13 0.25 0 1
HispPerCap 0 1 0.39 0.18 -0.24 0.345 0.3 0
NumUnderPov 0 1 0.06 0.13 0.45 0.02 0.01 0
PctPopUnderPov 0 1 0.30 0.23 0.52 0.25 0.08 0
PctLess9thGrade 0 1 0.32 0.21 0.41 0.27 0.19 0
PctNotHSGrad 0 1 0.38 0.20 0.48 0.36 0.39 0
PctBSorMore 0 1 0.36 0.21 -0.31 0.31 0.18 0
PctUnemployed 0 1 0.36 0.20 0.50 0.32 0.24 0
PctEmploy 0 1 0.50 0.17 -0.33 0.51 0.56 0
PctEmplManu 0 1 0.40 0.20 -0.04 0.37 0.26 0
PctEmplProfServ 0 1 0.44 0.18 -0.07 0.41 0.36 0
PctOccupManu 0 1 0.39 0.20 0.30 0.37 0.32 0
PctOccupMgmtProf 0 1 0.44 0.19 -0.34 0.4 0.36 0
MalePctDivorce 0 1 0.46 0.18 0.53 0.47 0.56 0
MalePctNevMarr 0 1 0.43 0.18 0.30 0.4 0.38 0
FemalePctDiv 0 1 0.49 0.18 0.56 0.5 0.54 0
TotalPctDiv 0 1 0.49 0.18 0.55 0.5 0.57 0
PersPerFam 0 1 0.49 0.15 0.14 0.47 0.44 0
PctFam2Par 0 1 0.61 0.20 -0.71 0.63 0.7 0
PctKids2Par 0 1 0.62 0.21 -0.74 0.64 0.72 0
PctYoungKids2Par 0 1 0.66 0.22 -0.67 0.7 0.91 0
PctTeen2Par 0 1 0.58 0.19 -0.66 0.61 0.6 0
PctWorkMomYoungKids 0 1 0.50 0.17 -0.02 0.51 0.51 0
PctWorkMom 0 1 0.53 0.18 -0.15 0.54 0.57 0
NumIlleg 0 1 0.04 0.11 0.47 0.01 0 0
PctIlleg 0 1 0.25 0.23 0.74 0.17 0.09 0
NumImmig 0 1 0.03 0.09 0.29 0.01 0 0
PctImmigRecent 0 1 0.32 0.22 0.17 0.29 0 0
PctImmigRec5 0 1 0.36 0.21 0.22 0.34 0 0
PctImmigRec8 0 1 0.40 0.20 0.25 0.39 0.26 0
PctImmigRec10 0 1 0.43 0.19 0.29 0.43 0.43 0
PctRecentImmig 0 1 0.18 0.24 0.23 0.09 0.01 0
PctRecImmig5 0 1 0.18 0.24 0.25 0.08 0.02 0
PctRecImmig8 0 1 0.18 0.24 0.25 0.09 0.02 0
PctRecImmig10 0 1 0.18 0.23 0.26 0.09 0.02 0
PctSpeakEnglOnly 0 1 0.79 0.23 -0.24 0.87 0.96 0
PctNotSpeakEnglWell 0 1 0.15 0.22 0.30 0.06 0.03 0
PctLargHouseFam 0 1 0.27 0.20 0.38 0.2 0.17 0
PctLargHouseOccup 0 1 0.25 0.19 0.29 0.19 0.19 0
PersPerOccupHous 0 1 0.46 0.17 -0.04 0.44 0.37 0
PersPerOwnOccHous 0 1 0.49 0.16 -0.12 0.48 0.45 0
PersPerRentOccHous 0 1 0.40 0.19 0.25 0.36 0.32 0
PctPersOwnOccup 0 1 0.56 0.20 -0.53 0.56 0.54 0
PctPersDenseHous 0 1 0.19 0.21 0.45 0.11 0.06 0
PctHousLess3BR 0 1 0.50 0.17 0.47 0.51 0.53 0
MedNumBR 0 1 0.31 0.26 -0.36 0.5 0.5 0
HousVacant 0 1 0.08 0.15 0.42 0.03 0.01 0
PctHousOccup 0 1 0.72 0.19 -0.32 0.77 0.88 0
PctHousOwnOcc 0 1 0.55 0.19 -0.47 0.54 0.52 0
PctVacantBoarded 0 1 0.20 0.22 0.48 0.13 0 0
PctVacMore6Mos 0 1 0.43 0.19 0.02 0.42 0.44 0
MedYrHousBuilt 0 1 0.49 0.23 -0.11 0.52 0 0
PctHousNoPhone 0 1 0.26 0.24 0.49 0.185 0.01 0
PctWOFullPlumb 0 1 0.24 0.21 0.36 0.19 0 0
OwnOccLowQuart 0 1 0.26 0.22 -0.21 0.18 0.09 0
OwnOccMedVal 0 1 0.26 0.23 -0.19 0.17 0.08 0
OwnOccHiQuart 0 1 0.27 0.24 -0.17 0.18 0.08 0
RentLowQ 0 1 0.35 0.22 -0.25 0.31 0.13 0
RentMedian 0 1 0.37 0.21 -0.24 0.33 0.19 0
RentHighQ 0 1 0.42 0.25 -0.23 0.37 1 0
MedRent 0 1 0.38 0.21 -0.24 0.34 0.17 0
MedRentPctHousInc 0 1 0.49 0.17 0.33 0.48 0.4 0
MedOwnCostPctInc 0 1 0.45 0.19 0.06 0.45 0.41 0
MedOwnCostPctIncNoMtg 0 1 0.40 0.19 0.05 0.37 0.24 0
NumInShelters 0 1 0.03 0.10 0.38 0 0 0
NumStreet 0 1 0.02 0.10 0.34 0 0 0
PctForeignBorn 0 1 0.22 0.23 0.19 0.13 0.03 0
PctBornSameState 0 1 0.61 0.20 -0.08 0.63 0.78 0
PctSameHouse85 0 1 0.54 0.18 -0.16 0.54 0.59 0
PctSameCity85 0 1 0.63 0.20 0.08 0.67 0.74 0
PctSameState85 0 1 0.65 0.20 -0.02 0.7 0.79 0
LemasSwornFT 0 1 0.07 0.14 0.34 0.02 0.02 1675
LemasSwFTPerPop 0 1 0.22 0.16 0.15 0.18 0.2 1675
LemasSwFTFieldOps 0 1 0.92 0.13 -0.33 0.97 0.98 1675
LemasSwFTFieldPerPop 0 1 0.25 0.16 0.16 0.21 0.19 1675
LemasTotalReq 0 1 0.10 0.16 0.35 0.04 0.02 1675
LemasTotReqPerPop 0 1 0.22 0.16 0.27 0.17 0.14 1675
PolicReqPerOffic 0 1 0.34 0.20 0.17 0.29 0.23 1675
PolicPerPop 0 1 0.22 0.16 0.15 0.18 0.2 1675
RacialMatchCommPol 0 1 0.69 0.23 -0.46 0.74 0.78 1675
PctPolicWhite 0 1 0.73 0.22 -0.44 0.78 0.72 1675
PctPolicBlack 0 1 0.22 0.24 0.54 0.12 0 1675
PctPolicHisp 0 1 0.13 0.20 0.12 0.06 0 1675
PctPolicAsian 0 1 0.11 0.23 0.10 0 0 1675
PctPolicMinor 0 1 0.26 0.23 0.49 0.2 0.07 1675
OfficAssgnDrugUnits 0 1 0.08 0.12 0.34 0.04 0.03 1675
NumKindsDrugsSeiz 0 1 0.56 0.20 0.13 0.57 0.57 1675
PolicAveOTWorked 0 1 0.31 0.23 0.03 0.26 0.19 1675
LandArea 0 1 0.07 0.11 0.20 0.04 0.01 0
PopDens 0 1 0.23 0.20 0.28 0.17 0.09 0
PctUsePubTrans 0 1 0.16 0.23 0.15 0.07 0.01 0
PolicCars 0 1 0.16 0.21 0.38 0.08 0.02 1675
PolicOperBudg 0 1 0.08 0.14 0.34 0.03 0.02 1675
LemasPctPolicOnPatr 0 1 0.70 0.21 -0.08 0.75 0.74 1675
LemasGangUnitDeploy 0 1 0.44 0.41 0.12 0.5 0 1675
LemasPctOfficDrugUn 0 1 0.09 0.24 0.35 0 0 0
PolicBudgPerPop 0 1 0.20 0.16 0.10 0.15 0.12 1675
ViolentCrimesPerPop 0 1 0.24 0.23 1.00 0.15 0.03 0
Distribution of the Goal Variable (Violent Crimes per Population):
Range Frequency
0.000-0.067 484
0.067-0.133 420
0.133-0.200 284
0.200-0.267 177
0.267-0.333 142
0.333-0.400 113
0.400-0.467 59
0.467-0.533 76
0.533-0.600 57
0.600-0.667 38
0.667-0.733 37
0.733-0.800 20
0.800-0.867 23
0.867-0.933 14
0.933-1.000 50
-----------------------------------------------------------------------------------------
Relevant Papers:
No published results using this specific dataset.
Related dataset used in Redmond and Baveja 'A data-driven software tool for enabling
cooperative information sharing among police departments' in European Journal of
Operational Research 141 (2002) 660-678;
That article includes a description of the integration of the three sources of data,
however, this data is normalized differently and more/different attributes are
included.
-----------------------------------------------------------------------------------------
Citation Request:
Please cite the UCI Machine Learning Repository, my sources and my related paper:
U. S. Department of Commerce, Bureau of the Census, Census Of Population And Housing
1990 United States: Summary Tape File 1a & 3a (Computer Files),
U.S. Department Of Commerce, Bureau Of The Census Producer, Washington, DC and
Inter-university Consortium for Political and Social Research Ann Arbor, Michigan.
(1992)
U.S. Department of Justice, Bureau of Justice Statistics, Law Enforcement Management
And Administrative Statistics (Computer File) U.S. Department Of Commerce, Bureau Of
The Census Producer, Washington, DC and Inter-university Consortium for Political and
Social Research Ann Arbor, Michigan. (1992)
U.S. Department of Justice, Federal Bureau of Investigation, Crime in the United
States (Computer File) (1995)
Redmond, M. A. and A. Baveja: A Data-Driven Software Tool for Enabling Cooperative
Information Sharing Among Police Departments. European Journal of Operational Research
141 (2002) 660-678.

703
cw_7/main.ipynb Normal file
View File

@ -0,0 +1,703 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 39,
"id": "ffd08cc9",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>state</th>\n",
" <th>county</th>\n",
" <th>community</th>\n",
" <th>communityname</th>\n",
" <th>fold</th>\n",
" <th>population</th>\n",
" <th>householdsize</th>\n",
" <th>racepctblack</th>\n",
" <th>racePctWhite</th>\n",
" <th>racePctAsian</th>\n",
" <th>...</th>\n",
" <th>LandArea</th>\n",
" <th>PopDens</th>\n",
" <th>PctUsePubTrans</th>\n",
" <th>PolicCars</th>\n",
" <th>PolicOperBudg</th>\n",
" <th>LemasPctPolicOnPatr</th>\n",
" <th>LemasGangUnitDeploy</th>\n",
" <th>LemasPctOfficDrugUn</th>\n",
" <th>PolicBudgPerPop</th>\n",
" <th>ViolentCrimesPerPop</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>36</td>\n",
" <td>1</td>\n",
" <td>1000</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0.15</td>\n",
" <td>0.31</td>\n",
" <td>0.40</td>\n",
" <td>0.63</td>\n",
" <td>0.14</td>\n",
" <td>...</td>\n",
" <td>0.06</td>\n",
" <td>0.39</td>\n",
" <td>0.84</td>\n",
" <td>0.06</td>\n",
" <td>0.06</td>\n",
" <td>0.91</td>\n",
" <td>0.5</td>\n",
" <td>0.88</td>\n",
" <td>0.26</td>\n",
" <td>0.49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>19</td>\n",
" <td>193</td>\n",
" <td>93926</td>\n",
" <td>94</td>\n",
" <td>1</td>\n",
" <td>0.11</td>\n",
" <td>0.43</td>\n",
" <td>0.04</td>\n",
" <td>0.89</td>\n",
" <td>0.09</td>\n",
" <td>...</td>\n",
" <td>0.16</td>\n",
" <td>0.12</td>\n",
" <td>0.07</td>\n",
" <td>0.04</td>\n",
" <td>0.01</td>\n",
" <td>0.81</td>\n",
" <td>1</td>\n",
" <td>0.56</td>\n",
" <td>0.09</td>\n",
" <td>0.63</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>51</td>\n",
" <td>680</td>\n",
" <td>47672</td>\n",
" <td>52</td>\n",
" <td>1</td>\n",
" <td>0.09</td>\n",
" <td>0.43</td>\n",
" <td>0.51</td>\n",
" <td>0.58</td>\n",
" <td>0.04</td>\n",
" <td>...</td>\n",
" <td>0.14</td>\n",
" <td>0.11</td>\n",
" <td>0.19</td>\n",
" <td>0.05</td>\n",
" <td>0.01</td>\n",
" <td>0.75</td>\n",
" <td>0</td>\n",
" <td>0.60</td>\n",
" <td>0.1</td>\n",
" <td>0.31</td>\n",
" </tr>\n",
" <tr>\n",
" <th>68</th>\n",
" <td>34</td>\n",
" <td>23</td>\n",
" <td>58200</td>\n",
" <td>79</td>\n",
" <td>1</td>\n",
" <td>0.05</td>\n",
" <td>0.59</td>\n",
" <td>0.23</td>\n",
" <td>0.39</td>\n",
" <td>0.09</td>\n",
" <td>...</td>\n",
" <td>0.01</td>\n",
" <td>0.73</td>\n",
" <td>0.28</td>\n",
" <td>0</td>\n",
" <td>0.02</td>\n",
" <td>0.64</td>\n",
" <td>0</td>\n",
" <td>1.00</td>\n",
" <td>0.23</td>\n",
" <td>0.50</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74</th>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>46520</td>\n",
" <td>58</td>\n",
" <td>1</td>\n",
" <td>0.08</td>\n",
" <td>0.39</td>\n",
" <td>0.08</td>\n",
" <td>0.85</td>\n",
" <td>0.04</td>\n",
" <td>...</td>\n",
" <td>0.07</td>\n",
" <td>0.21</td>\n",
" <td>0.04</td>\n",
" <td>0.02</td>\n",
" <td>0.01</td>\n",
" <td>0.7</td>\n",
" <td>1</td>\n",
" <td>0.44</td>\n",
" <td>0.11</td>\n",
" <td>0.14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1880</th>\n",
" <td>34</td>\n",
" <td>39</td>\n",
" <td>40350</td>\n",
" <td>50</td>\n",
" <td>10</td>\n",
" <td>0.04</td>\n",
" <td>0.39</td>\n",
" <td>0.39</td>\n",
" <td>0.65</td>\n",
" <td>0.09</td>\n",
" <td>...</td>\n",
" <td>0.03</td>\n",
" <td>0.28</td>\n",
" <td>0.32</td>\n",
" <td>0.02</td>\n",
" <td>0.01</td>\n",
" <td>0.85</td>\n",
" <td>0</td>\n",
" <td>0.99</td>\n",
" <td>0.19</td>\n",
" <td>0.22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1963</th>\n",
" <td>36</td>\n",
" <td>27</td>\n",
" <td>59641</td>\n",
" <td>85</td>\n",
" <td>10</td>\n",
" <td>0.03</td>\n",
" <td>0.32</td>\n",
" <td>0.61</td>\n",
" <td>0.47</td>\n",
" <td>0.09</td>\n",
" <td>...</td>\n",
" <td>0.01</td>\n",
" <td>0.47</td>\n",
" <td>0.42</td>\n",
" <td>0.07</td>\n",
" <td>0.08</td>\n",
" <td>0.49</td>\n",
" <td>0</td>\n",
" <td>0.37</td>\n",
" <td>1</td>\n",
" <td>0.45</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1981</th>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>35650</td>\n",
" <td>36</td>\n",
" <td>10</td>\n",
" <td>0.07</td>\n",
" <td>0.38</td>\n",
" <td>0.17</td>\n",
" <td>0.84</td>\n",
" <td>0.11</td>\n",
" <td>...</td>\n",
" <td>0.09</td>\n",
" <td>0.13</td>\n",
" <td>0.17</td>\n",
" <td>0.02</td>\n",
" <td>0.01</td>\n",
" <td>0.72</td>\n",
" <td>0</td>\n",
" <td>0.62</td>\n",
" <td>0.15</td>\n",
" <td>0.07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1991</th>\n",
" <td>9</td>\n",
" <td>9</td>\n",
" <td>80070</td>\n",
" <td>110</td>\n",
" <td>10</td>\n",
" <td>0.16</td>\n",
" <td>0.37</td>\n",
" <td>0.25</td>\n",
" <td>0.69</td>\n",
" <td>0.04</td>\n",
" <td>...</td>\n",
" <td>0.08</td>\n",
" <td>0.32</td>\n",
" <td>0.18</td>\n",
" <td>0.08</td>\n",
" <td>0.06</td>\n",
" <td>0.78</td>\n",
" <td>0</td>\n",
" <td>0.91</td>\n",
" <td>0.28</td>\n",
" <td>0.23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1992</th>\n",
" <td>25</td>\n",
" <td>17</td>\n",
" <td>72600</td>\n",
" <td>107</td>\n",
" <td>10</td>\n",
" <td>0.08</td>\n",
" <td>0.51</td>\n",
" <td>0.06</td>\n",
" <td>0.87</td>\n",
" <td>0.22</td>\n",
" <td>...</td>\n",
" <td>0.03</td>\n",
" <td>0.38</td>\n",
" <td>0.33</td>\n",
" <td>0.02</td>\n",
" <td>0.02</td>\n",
" <td>0.79</td>\n",
" <td>0</td>\n",
" <td>0.22</td>\n",
" <td>0.18</td>\n",
" <td>0.19</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>123 rows × 128 columns</p>\n",
"</div>"
],
"text/plain": [
" state county community communityname fold population householdsize \\\n",
"16 36 1 1000 0 1 0.15 0.31 \n",
"23 19 193 93926 94 1 0.11 0.43 \n",
"33 51 680 47672 52 1 0.09 0.43 \n",
"68 34 23 58200 79 1 0.05 0.59 \n",
"74 9 9 46520 58 1 0.08 0.39 \n",
"... ... ... ... ... ... ... ... \n",
"1880 34 39 40350 50 10 0.04 0.39 \n",
"1963 36 27 59641 85 10 0.03 0.32 \n",
"1981 9 9 35650 36 10 0.07 0.38 \n",
"1991 9 9 80070 110 10 0.16 0.37 \n",
"1992 25 17 72600 107 10 0.08 0.51 \n",
"\n",
" racepctblack racePctWhite racePctAsian ... LandArea PopDens \\\n",
"16 0.40 0.63 0.14 ... 0.06 0.39 \n",
"23 0.04 0.89 0.09 ... 0.16 0.12 \n",
"33 0.51 0.58 0.04 ... 0.14 0.11 \n",
"68 0.23 0.39 0.09 ... 0.01 0.73 \n",
"74 0.08 0.85 0.04 ... 0.07 0.21 \n",
"... ... ... ... ... ... ... \n",
"1880 0.39 0.65 0.09 ... 0.03 0.28 \n",
"1963 0.61 0.47 0.09 ... 0.01 0.47 \n",
"1981 0.17 0.84 0.11 ... 0.09 0.13 \n",
"1991 0.25 0.69 0.04 ... 0.08 0.32 \n",
"1992 0.06 0.87 0.22 ... 0.03 0.38 \n",
"\n",
" PctUsePubTrans PolicCars PolicOperBudg LemasPctPolicOnPatr \\\n",
"16 0.84 0.06 0.06 0.91 \n",
"23 0.07 0.04 0.01 0.81 \n",
"33 0.19 0.05 0.01 0.75 \n",
"68 0.28 0 0.02 0.64 \n",
"74 0.04 0.02 0.01 0.7 \n",
"... ... ... ... ... \n",
"1880 0.32 0.02 0.01 0.85 \n",
"1963 0.42 0.07 0.08 0.49 \n",
"1981 0.17 0.02 0.01 0.72 \n",
"1991 0.18 0.08 0.06 0.78 \n",
"1992 0.33 0.02 0.02 0.79 \n",
"\n",
" LemasGangUnitDeploy LemasPctOfficDrugUn PolicBudgPerPop \\\n",
"16 0.5 0.88 0.26 \n",
"23 1 0.56 0.09 \n",
"33 0 0.60 0.1 \n",
"68 0 1.00 0.23 \n",
"74 1 0.44 0.11 \n",
"... ... ... ... \n",
"1880 0 0.99 0.19 \n",
"1963 0 0.37 1 \n",
"1981 0 0.62 0.15 \n",
"1991 0 0.91 0.28 \n",
"1992 0 0.22 0.18 \n",
"\n",
" ViolentCrimesPerPop \n",
"16 0.49 \n",
"23 0.63 \n",
"33 0.31 \n",
"68 0.50 \n",
"74 0.14 \n",
"... ... \n",
"1880 0.22 \n",
"1963 0.45 \n",
"1981 0.07 \n",
"1991 0.23 \n",
"1992 0.19 \n",
"\n",
"[123 rows x 128 columns]"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import sklearn\n",
"from sklearn.preprocessing import PolynomialFeatures, LabelEncoder\n",
"from sklearn.linear_model import LinearRegression, Ridge, RidgeCV\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.metrics import mean_squared_error\n",
"\n",
"col_names = [\n",
"\"state\",\n",
"\"county\",\n",
"\"community\",\n",
"\"communityname\",\n",
"\"fold\",\n",
"\"population\",\n",
"\"householdsize\",\n",
"\"racepctblack\",\n",
"\"racePctWhite\",\n",
"\"racePctAsian\",\n",
"\"racePctHisp\",\n",
"\"agePct12t21\",\n",
"\"agePct12t29\",\n",
"\"agePct16t24\",\n",
"\"agePct65up\",\n",
"\"numbUrban\",\n",
"\"pctUrban\",\n",
"\"medIncome\",\n",
"\"pctWWage\",\n",
"\"pctWFarmSelf\",\n",
"\"pctWInvInc\",\n",
"\"pctWSocSec\",\n",
"\"pctWPubAsst\",\n",
"\"pctWRetire\",\n",
"\"medFamInc\",\n",
"\"perCapInc\",\n",
"\"whitePerCap\",\n",
"\"blackPerCap\",\n",
"\"indianPerCap\",\n",
"\"AsianPerCap\",\n",
"\"OtherPerCap\",\n",
"\"HispPerCap\",\n",
"\"NumUnderPov\",\n",
"\"PctPopUnderPov\",\n",
"\"PctLess9thGrade\",\n",
"\"PctNotHSGrad\",\n",
"\"PctBSorMore\",\n",
"\"PctUnemployed\",\n",
"\"PctEmploy\",\n",
"\"PctEmplManu\",\n",
"\"PctEmplProfServ\",\n",
"\"PctOccupManu\",\n",
"\"PctOccupMgmtProf\",\n",
"\"MalePctDivorce\",\n",
"\"MalePctNevMarr\",\n",
"\"FemalePctDiv\",\n",
"\"TotalPctDiv\",\n",
"\"PersPerFam\",\n",
"\"PctFam2Par\",\n",
"\"PctKids2Par\",\n",
"\"PctYoungKids2Par\",\n",
"\"PctTeen2Par\",\n",
"\"PctWorkMomYoungKids\",\n",
"\"PctWorkMom\",\n",
"\"NumIlleg\",\n",
"\"PctIlleg\",\n",
"\"NumImmig\",\n",
"\"PctImmigRecent\",\n",
"\"PctImmigRec5\",\n",
"\"PctImmigRec8\",\n",
"\"PctImmigRec10\",\n",
"\"PctRecentImmig\",\n",
"\"PctRecImmig5\",\n",
"\"PctRecImmig8\",\n",
"\"PctRecImmig10\",\n",
"\"PctSpeakEnglOnly\",\n",
"\"PctNotSpeakEnglWell\",\n",
"\"PctLargHouseFam\",\n",
"\"PctLargHouseOccup\",\n",
"\"PersPerOccupHous\",\n",
"\"PersPerOwnOccHous\",\n",
"\"PersPerRentOccHous\",\n",
"\"PctPersOwnOccup\",\n",
"\"PctPersDenseHous\",\n",
"\"PctHousLess3BR\",\n",
"\"MedNumBR\",\n",
"\"HousVacant\",\n",
"\"PctHousOccup\",\n",
"\"PctHousOwnOcc\",\n",
"\"PctVacantBoarded\",\n",
"\"PctVacMore6Mos\",\n",
"\"MedYrHousBuilt\",\n",
"\"PctHousNoPhone\",\n",
"\"PctWOFullPlumb\",\n",
"\"OwnOccLowQuart\",\n",
"\"OwnOccMedVal\",\n",
"\"OwnOccHiQuart\",\n",
"\"RentLowQ\",\n",
"\"RentMedian\",\n",
"\"RentHighQ\",\n",
"\"MedRent\",\n",
"\"MedRentPctHousInc\",\n",
"\"MedOwnCostPctInc\",\n",
"\"MedOwnCostPctIncNoMtg\",\n",
"\"NumInShelters\",\n",
"\"NumStreet\",\n",
"\"PctForeignBorn\",\n",
"\"PctBornSameState\",\n",
"\"PctSameHouse85\",\n",
"\"PctSameCity85\",\n",
"\"PctSameState85\",\n",
"\"LemasSwornFT\",\n",
"\"LemasSwFTPerPop\",\n",
"\"LemasSwFTFieldOps\",\n",
"\"LemasSwFTFieldPerPop\",\n",
"\"LemasTotalReq\",\n",
"\"LemasTotReqPerPop\",\n",
"\"PolicReqPerOffic\",\n",
"\"PolicPerPop\",\n",
"\"RacialMatchCommPol\",\n",
"\"PctPolicWhite\",\n",
"\"PctPolicBlack\",\n",
"\"PctPolicHisp\",\n",
"\"PctPolicAsian\",\n",
"\"PctPolicMinor\",\n",
"\"OfficAssgnDrugUnits\",\n",
"\"NumKindsDrugsSeiz\",\n",
"\"PolicAveOTWorked\",\n",
"\"LandArea\",\n",
"\"PopDens\",\n",
"\"PctUsePubTrans\",\n",
"\"PolicCars\",\n",
"\"PolicOperBudg\",\n",
"\"LemasPctPolicOnPatr\",\n",
"\"LemasGangUnitDeploy\",\n",
"\"LemasPctOfficDrugUn\",\n",
"\"PolicBudgPerPop\",\n",
"\"ViolentCrimesPerPop\"]\n",
"\n",
"df = pd.read_csv('communities.data',names=col_names)\n",
"df = df.replace('?',None)\n",
"df = df.dropna(axis='rows')\n",
"\n",
"le = LabelEncoder()\n",
"le.fit(df['communityname'].unique())\n",
"df['communityname'] = le.transform(df['communityname'])\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "9c0f6f6d",
"metadata": {},
"outputs": [],
"source": [
"X = df.loc[:,df.columns != 'ViolentCrimesPerPop']\n",
"y = df['ViolentCrimesPerPop']"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "2bdc2e77",
"metadata": {},
"outputs": [],
"source": [
"X_train, X_test, y_train, y_test = train_test_split(poly_features, y, test_size=0.3)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "2bbd2ddb",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/tonywesoly/.local/lib/python3.8/site-packages/sklearn/linear_model/_ridge.py:251: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead.\n",
" warnings.warn(\n"
]
},
{
"data": {
"text/plain": [
"1.1533542718655332"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ridgecv = RidgeCV(alphas=np.arange(1, 100, 5), scoring='r2', cv=10)\n",
"ridgecv.fit(X, y)\n",
"ridge = Ridge(alpha=ridgecv.alpha_)\n",
"ridge.fit(X_train, y_train)\n",
"ridge_y_predicted = ridge.predict(X_test)\n",
"ridge_rmse = np.sqrt(mean_squared_error(y_test, ridge_y_predicted))\n",
"ridge_rmse"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "dbfe728b",
"metadata": {},
"outputs": [],
"source": [
"#poly = PolynomialFeatures(degree=11, include_bias=False)\n",
"#poly_features = poly.fit_transform(X)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "3be15622",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1.6511181528162753"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"poly_reg_model = LinearRegression()\n",
"poly_reg_model.fit(X_train,y_train)\n",
"poly_reg_y_predicted = poly_reg_model.predict(X_test)\n",
"poly_reg_rmse = np.sqrt(mean_squared_error(y_test, poly_reg_y_predicted))\n",
"poly_reg_rmse"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "4ab0949a",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.3085495600528652"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
"lin_reg_model = LinearRegression()\n",
"lin_reg_model.fit(X_train, y_train)\n",
"lin_reg_y_predicted = lin_reg_model.predict(X_test)\n",
"lin_reg_rmse = np.sqrt(mean_squared_error(y_test, lin_reg_y_predicted))\n",
"lin_reg_rmse"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "99365180",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "0e0b2f8e",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

4939
cw_8/flats_for_clustering.tsv Normal file
View File

File diff suppressed because it is too large Load Diff

546
cw_8/main.ipynb Normal file
View File

File diff suppressed because one or more lines are too long

190
cw_8/test.ipynb Normal file
View File

File diff suppressed because one or more lines are too long

1
projekt Submodule

@ -0,0 +1 @@
Subproject commit 6fd4e1856052cb8ce29e81462e3ebef26e232e89