forked from tomekg/aitech-wizualizacja
Merge pull request 'Lab 5' (#11) from tomekg/aitech-wizualizacja:master into master
Reviewed-on: #11
This commit is contained in:
commit
dc59b3ffeb
181
05.ipynb
181
05.ipynb
@ -9,7 +9,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -116,9 +116,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n"
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]
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}
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],
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"source": [
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"ui <- fluidPage(\n",
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" textInput('name', 'What is your name?'), # Input \n",
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@ -136,7 +146,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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@ -206,9 +216,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n"
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]
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}
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],
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"source": [
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"ui <- fluidPage(\n",
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" titlePanel('Baby Name Explorer'),\n",
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@ -230,9 +250,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n"
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]
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}
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],
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"source": [
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"ui <- fluidPage(\n",
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" titlePanel(\"What's in a Name?\"),\n",
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@ -263,9 +293,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n"
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]
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}
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],
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"source": [
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"ui <- fluidPage(\n",
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" titlePanel(\"What's in a Name?\"),\n",
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@ -306,9 +346,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n"
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]
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}
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],
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"source": [
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"# Layout\n",
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"\n",
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@ -358,9 +408,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n"
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]
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}
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],
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"source": [
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"# Themes\n",
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"\n",
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@ -407,9 +467,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 11,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n"
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]
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}
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],
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"source": [
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"ui <- fluidPage(\n",
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" titlePanel('BMI Calculator'),\n",
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@ -458,9 +528,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 12,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n"
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]
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}
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],
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"source": [
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"ui <- fluidPage(\n",
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" textInput('name', 'Enter your name')\n",
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@ -507,9 +587,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 13,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n"
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]
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}
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],
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"source": [
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"# Isolate\n",
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"ui <- fluidPage(\n",
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@ -542,9 +632,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 14,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n"
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]
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}
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],
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"source": [
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"# eventReactive\n",
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"ui <- fluidPage(\n",
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@ -579,9 +679,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 15,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n"
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]
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}
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],
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"source": [
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"# observeEvent\n",
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"bmiHelpText <- \"Body Mass Index is a simple calculation using a person's height and weight. The formula is BMI = kg/m2 where kg is a person's weight in kilograms and m2 is their height in metres squared. A BMI of 25.0 or more is overweight, while the healthy range is 18.5 to 24.9.\"\n",
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@ -646,7 +756,19 @@
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\n",
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"Listening on http://127.0.0.1:3182\n",
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"\n",
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"Warning message:\n",
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"“Error in renderText: nie znaleziono obiektu 'x'”\n"
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]
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}
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],
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"source": [
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"ui <- fluidPage(\n",
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" sliderInput(\"x\", label = \"If x is\", min = 1, max = 50, value = 30),\n",
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@ -736,6 +858,7 @@
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"outputs": [],
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"source": [
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"datasets <- c(\"economics\", \"faithfuld\", \"seals\")\n",
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"\n",
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"ui <- fluidPage(\n",
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" selectInput(\"dataset\", \"Dataset\", choices = datasets),\n",
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" verbatimTextOutput(\"summary\"),\n",
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@ -779,9 +902,13 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"7. Narodowe Centrum Raportowania UFO (NUFORC) zbierało dane o zdarzeniach UFO w ciągu ostatniego stulecia (zbiór danych: usaUFOsightings.csv). Zbuduj aplikację, która pozwoli użytkownikom wybrać stan USA i okres, w którym miały miejsce zdarzenia. Wykres powinien pokazywać liczbę zdarzeń dla wybranego stanu i okresu. Tabela powinna pokazywać, dla wybranego stanu i okresu czasu, liczbę zaobserwowanych obserwacji oraz średnią, medianę, minimalny i maksymalny czas trwania (w sekundach) wydarzenia. Twoja ostateczna aplikacja powinna wizualnie przypominać zrzut ekranu poniżej.\n",
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"7. Narodowe Centrum Raportowania UFO (NUFORC) zbierało dane o zdarzeniach UFO w ciągu ostatniego stulecia (zbiór danych: usaUFOsightings.csv). Zbuduj aplikację, która pozwoli użytkownikom wybrać stan USA i okres, w którym miały miejsce zdarzenia. Wykres powinien pokazywać liczbę zdarzeń dla wybranego stanu i okresu. Tabela powinna pokazywać, dla wybranego stanu i okresu czasu, liczbę zaobserwowanych obserwacji oraz średnią, medianę, minimalny i maksymalny czas trwania (w sekundach) wydarzenia. Twoja ostateczna aplikacja powinna wizualnie przypominać zrzutu ekranu poniżej.\n",
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"\n",
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"<img src=\"figs/ex5_7.png\" width=\"800\">"
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"<img src=\"figs/ex5_7.png\" width=\"800\">\n",
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"\n",
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"8. Zbuduj aplikację do wizualizacji Centralnego Twierdzenia Granicznego. Próbki powinny być losowane z rozkładu jednostajnego na odcinku $[0, 1]$. Użytkownik powinien móc zmienić liczbę próbek (od 1 do 100, domyślnie 2) oraz liczbę słupków w histogramie (od 5 do 50, domślnie 20). Liczba doświadczeń (liczenia średnich) powinna być ustalona na stałe (10 000). Ustaw szablon na *darkly*. Zebezpiecz aplikację przed wpisaniem ujemnych wartości dla liczby próbek i liczby słupków (biblioteka *shinyFeedback*). Dopasuj wylgąd aplikacji do zrzutu ekranu poniżej.\n",
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"\n",
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"<img src=\"figs/ex5_8.png\" width=\"800\">"
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]
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}
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],
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figs/ex5_8.png
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figs/ex5_8.png
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