changed Nan to empty strings

This commit is contained in:
Mikołaj Pokrywka 2022-03-20 22:09:51 +01:00
parent 75d242d5c5
commit 8a936743aa

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@ -2,7 +2,7 @@
"cells": [
{
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"execution_count": 1,
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@ -12,7 +12,7 @@
},
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"cell_type": "code",
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"outputs": [
@ -21,21 +21,21 @@
"output_type": "stream",
"text": [
"Requirement already satisfied: kaggle in /home/mikolaj/.local/lib/python3.8/site-packages (1.5.12)\n",
"Requirement already satisfied: tqdm in /home/mikolaj/.local/lib/python3.8/site-packages (from kaggle) (4.59.0)\n",
"Requirement already satisfied: urllib3 in /usr/lib/python3/dist-packages (from kaggle) (1.22)\n",
"Requirement already satisfied: six>=1.10 in /usr/lib/python3/dist-packages (from kaggle) (1.11.0)\n",
"Requirement already satisfied: requests in /home/mikolaj/.local/lib/python3.8/site-packages (from kaggle) (2.25.1)\n",
"Requirement already satisfied: python-dateutil in /home/mikolaj/.local/lib/python3.8/site-packages (from kaggle) (2.8.1)\n",
"Requirement already satisfied: certifi in /usr/lib/python3/dist-packages (from kaggle) (2018.1.18)\n",
"Requirement already satisfied: python-slugify in /home/mikolaj/.local/lib/python3.8/site-packages (from kaggle) (6.1.1)\n",
"Requirement already satisfied: python-dateutil in /home/mikolaj/.local/lib/python3.8/site-packages (from kaggle) (2.8.1)\n",
"Requirement already satisfied: tqdm in /home/mikolaj/.local/lib/python3.8/site-packages (from kaggle) (4.59.0)\n",
"Requirement already satisfied: text-unidecode>=1.3 in /home/mikolaj/.local/lib/python3.8/site-packages (from python-slugify->kaggle) (1.3)\n",
"Requirement already satisfied: idna<3,>=2.5 in /home/mikolaj/.local/lib/python3.8/site-packages (from requests->kaggle) (2.10)\n",
"Requirement already satisfied: chardet<5,>=3.0.2 in /usr/lib/python3/dist-packages (from requests->kaggle) (3.0.4)\n",
"Requirement already satisfied: idna<3,>=2.5 in /home/mikolaj/.local/lib/python3.8/site-packages (from requests->kaggle) (2.10)\n",
"\u001b[33mWARNING: You are using pip version 21.3.1; however, version 22.0.4 is available.\n",
"You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n",
"Requirement already satisfied: pandas in /home/mikolaj/.local/lib/python3.8/site-packages (1.1.5)\n",
"Requirement already satisfied: pytz>=2017.2 in /usr/lib/python3/dist-packages (from pandas) (2018.3)\n",
"Requirement already satisfied: numpy>=1.15.4 in /home/mikolaj/.local/lib/python3.8/site-packages (from pandas) (1.19.5)\n",
"Requirement already satisfied: pytz>=2017.2 in /usr/lib/python3/dist-packages (from pandas) (2018.3)\n",
"Requirement already satisfied: python-dateutil>=2.7.3 in /home/mikolaj/.local/lib/python3.8/site-packages (from pandas) (2.8.1)\n",
"Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7.3->pandas) (1.11.0)\n",
"\u001b[33mWARNING: You are using pip version 21.3.1; however, version 22.0.4 is available.\n",
@ -45,12 +45,13 @@
],
"source": [
"!pip install --user kaggle #API Kaggle, do pobrania zbioru\n",
"!pip install --user pandas"
"!pip install --user pandas\n",
"!pip install --user numpy"
]
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 3,
"id": "02a4034f",
"metadata": {},
"outputs": [
@ -59,9 +60,7 @@
"output_type": "stream",
"text": [
"Warning: Your Kaggle API key is readable by other users on this system! To fix this, you can run 'chmod 600 /home/mikolaj/.kaggle/kaggle.json'\n",
"Downloading real-or-fake-fake-jobposting-prediction.zip to /home/mikolaj/ai_tech/inzynieria\n",
" 99%|█████████████████████████████████████▊| 16.0M/16.1M [00:01<00:00, 10.2MB/s]\n",
"100%|██████████████████████████████████████| 16.1M/16.1M [00:01<00:00, 9.54MB/s]\n"
"real-or-fake-fake-jobposting-prediction.zip: Skipping, found more recently modified local copy (use --force to force download)\n"
]
}
],
@ -73,7 +72,7 @@
},
{
"cell_type": "code",
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"execution_count": 4,
"id": "5035aef0",
"metadata": {},
"outputs": [
@ -92,7 +91,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 5,
"id": "14344d2f",
"metadata": {},
"outputs": [
@ -100,22 +99,18 @@
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting seaborn\n",
" Downloading seaborn-0.11.2-py3-none-any.whl (292 kB)\n",
" |████████████████████████████████| 292 kB 1.8 MB/s \n",
"\u001b[?25hRequirement already satisfied: numpy>=1.15 in /home/mikolaj/.local/lib/python3.8/site-packages (from seaborn) (1.19.5)\n",
"Requirement already satisfied: seaborn in /home/mikolaj/.local/lib/python3.8/site-packages (0.11.2)\n",
"Requirement already satisfied: scipy>=1.0 in /home/mikolaj/.local/lib/python3.8/site-packages (from seaborn) (1.7.2)\n",
"Requirement already satisfied: pandas>=0.23 in /home/mikolaj/.local/lib/python3.8/site-packages (from seaborn) (1.1.5)\n",
"Requirement already satisfied: matplotlib>=2.2 in /home/mikolaj/.local/lib/python3.8/site-packages (from seaborn) (3.4.2)\n",
"Requirement already satisfied: pyparsing>=2.2.1 in /home/mikolaj/.local/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (2.4.7)\n",
"Requirement already satisfied: pillow>=6.2.0 in /home/mikolaj/.local/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (8.2.0)\n",
"Requirement already satisfied: numpy>=1.15 in /home/mikolaj/.local/lib/python3.8/site-packages (from seaborn) (1.19.5)\n",
"Requirement already satisfied: pandas>=0.23 in /home/mikolaj/.local/lib/python3.8/site-packages (from seaborn) (1.1.5)\n",
"Requirement already satisfied: python-dateutil>=2.7 in /home/mikolaj/.local/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (2.8.1)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /home/mikolaj/.local/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (1.3.1)\n",
"Requirement already satisfied: pillow>=6.2.0 in /home/mikolaj/.local/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (8.2.0)\n",
"Requirement already satisfied: cycler>=0.10 in /home/mikolaj/.local/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (0.10.0)\n",
"Requirement already satisfied: kiwisolver>=1.0.1 in /home/mikolaj/.local/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (1.3.1)\n",
"Requirement already satisfied: pyparsing>=2.2.1 in /home/mikolaj/.local/lib/python3.8/site-packages (from matplotlib>=2.2->seaborn) (2.4.7)\n",
"Requirement already satisfied: pytz>=2017.2 in /usr/lib/python3/dist-packages (from pandas>=0.23->seaborn) (2018.3)\n",
"Requirement already satisfied: six in /usr/lib/python3/dist-packages (from cycler>=0.10->matplotlib>=2.2->seaborn) (1.11.0)\n",
"Installing collected packages: seaborn\n",
"Successfully installed seaborn-0.11.2\n",
"\u001b[33mWARNING: You are using pip version 21.3.1; however, version 22.0.4 is available.\n",
"You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.\u001b[0m\n"
]
@ -127,7 +122,7 @@
},
{
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"execution_count": 22,
"id": "0f5ebfab",
"metadata": {},
"outputs": [
@ -530,7 +525,7 @@
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"execution_count": 43,
"execution_count": 22,
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@ -543,7 +538,7 @@
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{
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"execution_count": 23,
"id": "edbf49da",
"metadata": {},
"outputs": [
@ -562,60 +557,443 @@
},
{
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"id": "bc594582",
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"17878 Competitive salary (compensation will be based... 0 \n",
"17879 0 \n",
"\n",
" has_company_logo has_questions employment_type required_experience \\\n",
"0 1 0 Other Internship \n",
"1 1 0 Full-time Not Applicable \n",
"2 1 0 \n",
"3 1 0 Full-time Mid-Senior level \n",
"4 1 1 Full-time Mid-Senior level \n",
"... ... ... ... ... \n",
"17875 1 1 Full-time Mid-Senior level \n",
"17876 1 1 Full-time Mid-Senior level \n",
"17877 0 0 Full-time \n",
"17878 0 1 Contract Not Applicable \n",
"17879 1 1 Full-time Mid-Senior level \n",
"\n",
" required_education industry function \\\n",
"0 Marketing \n",
"1 Marketing and Advertising Customer Service \n",
"2 \n",
"3 Bachelor's Degree Computer Software Sales \n",
"4 Bachelor's Degree Hospital & Health Care Health Care Provider \n",
"... ... ... ... \n",
"17875 Computer Software Sales \n",
"17876 Bachelor's Degree Internet Accounting/Auditing \n",
"17877 \n",
"17878 Professional Graphic Design Design \n",
"17879 Computer Software Engineering \n",
"\n",
" fraudulent \n",
"0 0 \n",
"1 0 \n",
"2 0 \n",
"3 0 \n",
"4 0 \n",
"... ... \n",
"17875 0 \n",
"17876 0 \n",
"17877 0 \n",
"17878 0 \n",
"17879 0 \n",
"\n",
"[17880 rows x 18 columns]"
]
},
"execution_count": 35,
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[\"title\"].value_counts()"
"data = data.replace(np.nan, '', regex=True)\n",
"data"
]
},
{
"cell_type": "code",
"execution_count": 36,
"execution_count": 30,
"id": "e60b3f32",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Sales 551\n",
"Engineering 487\n",
"Marketing 401\n",
"Operations 270\n",
"IT 225\n",
" ... \n",
"Audiology 1\n",
"Professional Association 1\n",
"Multiwork 1\n",
"Dev2 to 5 years experience in a client-facing technical role. Ability to diplomatically address customer concerns and provide feedback. A firm understanding of the technology stacks common to the Web ecosystem. A demonstrated history of creating non-trivi 1\n",
"Business Strategy 1\n",
"Name: department, Length: 1337, dtype: int64"
" 11547\n",
"Sales 551\n",
"Engineering 487\n",
"Marketing 401\n",
"Operations 270\n",
" ... \n",
"Pricing 1\n",
"Mobility 1\n",
"Housekeeping 1\n",
"An Impact Engine Company 1\n",
"Trainee 1\n",
"Name: department, Length: 1338, dtype: int64"
]
},
"execution_count": 36,
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
@ -626,7 +1004,7 @@
},
{
"cell_type": "code",
"execution_count": 37,
"execution_count": 32,
"id": "c5ac75f5",
"metadata": {},
"outputs": [
@ -676,42 +1054,42 @@
" <th>count</th>\n",
" <td>17880.000000</td>\n",
" <td>17880</td>\n",
" <td>17534</td>\n",
" <td>6333</td>\n",
" <td>2868</td>\n",
" <td>14572</td>\n",
" <td>17879</td>\n",
" <td>15185</td>\n",
" <td>10670</td>\n",
" <td>17880</td>\n",
" <td>17880</td>\n",
" <td>17880</td>\n",
" <td>17880</td>\n",
" <td>17880</td>\n",
" <td>17880</td>\n",
" <td>17880</td>\n",
" <td>17880.000000</td>\n",
" <td>17880.000000</td>\n",
" <td>17880.000000</td>\n",
" <td>14409</td>\n",
" <td>10830</td>\n",
" <td>9775</td>\n",
" <td>12977</td>\n",
" <td>11425</td>\n",
" <td>17880</td>\n",
" <td>17880</td>\n",
" <td>17880</td>\n",
" <td>17880</td>\n",
" <td>17880</td>\n",
" <td>17880.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>unique</th>\n",
" <td>NaN</td>\n",
" <td>11231</td>\n",
" <td>3105</td>\n",
" <td>1337</td>\n",
" <td>874</td>\n",
" <td>1709</td>\n",
" <td>14801</td>\n",
" <td>11968</td>\n",
" <td>6205</td>\n",
" <td>3106</td>\n",
" <td>1338</td>\n",
" <td>875</td>\n",
" <td>1710</td>\n",
" <td>14802</td>\n",
" <td>11969</td>\n",
" <td>6206</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>5</td>\n",
" <td>7</td>\n",
" <td>13</td>\n",
" <td>131</td>\n",
" <td>37</td>\n",
" <td>6</td>\n",
" <td>8</td>\n",
" <td>14</td>\n",
" <td>132</td>\n",
" <td>38</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
@ -719,20 +1097,20 @@
" <td>NaN</td>\n",
" <td>English Teacher Abroad</td>\n",
" <td>GB, LND, London</td>\n",
" <td>Sales</td>\n",
" <td>0-0</td>\n",
" <td>We help teachers get safe &amp;amp; secure jobs ab...</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>Play with kids, get paid for it Love travel? J...</td>\n",
" <td>University degree required. TEFL / TESOL / CEL...</td>\n",
" <td>See job description</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Full-time</td>\n",
" <td>Mid-Senior level</td>\n",
" <td>Bachelor's Degree</td>\n",
" <td>Information Technology and Services</td>\n",
" <td>Information Technology</td>\n",
" <td></td>\n",
" <td></td>\n",
" <td></td>\n",
" <td></td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
@ -740,20 +1118,20 @@
" <td>NaN</td>\n",
" <td>311</td>\n",
" <td>718</td>\n",
" <td>551</td>\n",
" <td>142</td>\n",
" <td>726</td>\n",
" <td>11547</td>\n",
" <td>15012</td>\n",
" <td>3308</td>\n",
" <td>379</td>\n",
" <td>410</td>\n",
" <td>726</td>\n",
" <td>2695</td>\n",
" <td>7210</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>11620</td>\n",
" <td>3809</td>\n",
" <td>5145</td>\n",
" <td>1734</td>\n",
" <td>1749</td>\n",
" <td>7050</td>\n",
" <td>8105</td>\n",
" <td>4903</td>\n",
" <td>6455</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
@ -909,10 +1287,10 @@
],
"text/plain": [
" job_id title location department \\\n",
"count 17880.000000 17880 17534 6333 \n",
"unique NaN 11231 3105 1337 \n",
"top NaN English Teacher Abroad GB, LND, London Sales \n",
"freq NaN 311 718 551 \n",
"count 17880.000000 17880 17880 17880 \n",
"unique NaN 11231 3106 1338 \n",
"top NaN English Teacher Abroad GB, LND, London \n",
"freq NaN 311 718 11547 \n",
"mean 8940.500000 NaN NaN NaN \n",
"std 5161.655742 NaN NaN NaN \n",
"min 1.000000 NaN NaN NaN \n",
@ -921,104 +1299,79 @@
"75% 13410.250000 NaN NaN NaN \n",
"max 17880.000000 NaN NaN NaN \n",
"\n",
" salary_range company_profile \\\n",
"count 2868 14572 \n",
"unique 874 1709 \n",
"top 0-0 We help teachers get safe &amp; secure jobs ab... \n",
"freq 142 726 \n",
"mean NaN NaN \n",
"std NaN NaN \n",
"min NaN NaN \n",
"25% NaN NaN \n",
"50% NaN NaN \n",
"75% NaN NaN \n",
"max NaN NaN \n",
" salary_range company_profile \\\n",
"count 17880 17880 \n",
"unique 875 1710 \n",
"top \n",
"freq 15012 3308 \n",
"mean NaN NaN \n",
"std NaN NaN \n",
"min NaN NaN \n",
"25% NaN NaN \n",
"50% NaN NaN \n",
"75% NaN NaN \n",
"max NaN NaN \n",
"\n",
" description \\\n",
"count 17879 \n",
"unique 14801 \n",
"top Play with kids, get paid for it Love travel? J... \n",
"freq 379 \n",
"mean NaN \n",
"std NaN \n",
"min NaN \n",
"25% NaN \n",
"50% NaN \n",
"75% NaN \n",
"max NaN \n",
" description requirements \\\n",
"count 17880 17880 \n",
"unique 14802 11969 \n",
"top Play with kids, get paid for it Love travel? J... \n",
"freq 379 2695 \n",
"mean NaN NaN \n",
"std NaN NaN \n",
"min NaN NaN \n",
"25% NaN NaN \n",
"50% NaN NaN \n",
"75% NaN NaN \n",
"max NaN NaN \n",
"\n",
" requirements \\\n",
"count 15185 \n",
"unique 11968 \n",
"top University degree required. TEFL / TESOL / CEL... \n",
"freq 410 \n",
"mean NaN \n",
"std NaN \n",
"min NaN \n",
"25% NaN \n",
"50% NaN \n",
"75% NaN \n",
"max NaN \n",
" benefits telecommuting has_company_logo has_questions \\\n",
"count 17880 17880.000000 17880.000000 17880.000000 \n",
"unique 6206 NaN NaN NaN \n",
"top NaN NaN NaN \n",
"freq 7210 NaN NaN NaN \n",
"mean NaN 0.042897 0.795302 0.491723 \n",
"std NaN 0.202631 0.403492 0.499945 \n",
"min NaN 0.000000 0.000000 0.000000 \n",
"25% NaN 0.000000 1.000000 0.000000 \n",
"50% NaN 0.000000 1.000000 0.000000 \n",
"75% NaN 0.000000 1.000000 1.000000 \n",
"max NaN 1.000000 1.000000 1.000000 \n",
"\n",
" benefits telecommuting has_company_logo has_questions \\\n",
"count 10670 17880.000000 17880.000000 17880.000000 \n",
"unique 6205 NaN NaN NaN \n",
"top See job description NaN NaN NaN \n",
"freq 726 NaN NaN NaN \n",
"mean NaN 0.042897 0.795302 0.491723 \n",
"std NaN 0.202631 0.403492 0.499945 \n",
"min NaN 0.000000 0.000000 0.000000 \n",
"25% NaN 0.000000 1.000000 0.000000 \n",
"50% NaN 0.000000 1.000000 0.000000 \n",
"75% NaN 0.000000 1.000000 1.000000 \n",
"max NaN 1.000000 1.000000 1.000000 \n",
" employment_type required_experience required_education industry \\\n",
"count 17880 17880 17880 17880 \n",
"unique 6 8 14 132 \n",
"top Full-time \n",
"freq 11620 7050 8105 4903 \n",
"mean NaN NaN NaN NaN \n",
"std NaN NaN NaN NaN \n",
"min NaN NaN NaN NaN \n",
"25% NaN NaN NaN NaN \n",
"50% NaN NaN NaN NaN \n",
"75% NaN NaN NaN NaN \n",
"max NaN NaN NaN NaN \n",
"\n",
" employment_type required_experience required_education \\\n",
"count 14409 10830 9775 \n",
"unique 5 7 13 \n",
"top Full-time Mid-Senior level Bachelor's Degree \n",
"freq 11620 3809 5145 \n",
"mean NaN NaN NaN \n",
"std NaN NaN NaN \n",
"min NaN NaN NaN \n",
"25% NaN NaN NaN \n",
"50% NaN NaN NaN \n",
"75% NaN NaN NaN \n",
"max NaN NaN NaN \n",
"\n",
" industry function \\\n",
"count 12977 11425 \n",
"unique 131 37 \n",
"top Information Technology and Services Information Technology \n",
"freq 1734 1749 \n",
"mean NaN NaN \n",
"std NaN NaN \n",
"min NaN NaN \n",
"25% NaN NaN \n",
"50% NaN NaN \n",
"75% NaN NaN \n",
"max NaN NaN \n",
"\n",
" fraudulent \n",
"count 17880.000000 \n",
"unique NaN \n",
"top NaN \n",
"freq NaN \n",
"mean 0.048434 \n",
"std 0.214688 \n",
"min 0.000000 \n",
"25% 0.000000 \n",
"50% 0.000000 \n",
"75% 0.000000 \n",
"max 1.000000 "
" function fraudulent \n",
"count 17880 17880.000000 \n",
"unique 38 NaN \n",
"top NaN \n",
"freq 6455 NaN \n",
"mean NaN 0.048434 \n",
"std NaN 0.214688 \n",
"min NaN 0.000000 \n",
"25% NaN 0.000000 \n",
"50% NaN 0.000000 \n",
"75% NaN 0.000000 \n",
"max NaN 1.000000 "
]
},
"execution_count": 37,
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = data.replace(np.nan, '', regex=True)\n",
"data.describe(include='all')"
]
},