{ "cells": [ { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "# Car accidents in Berlin\n", "\n", "## How did the amount of car accidents develop over the years in Berlin?\n", "\n", "- Set up requirements, import packages\n", "- Load data with datenguide\n", "- Plot results\n", "\n", "### Set up requirements, import packages\n", "\n", "Assumes to use code from local, parent directory as in the repository folder structure." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "pycharm": { "name": "#%%\n" } }, "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload\n", "\n", "import os\n", "if not os.path.basename(os.getcwd()) == \"datenguide-python\":\n", " os.chdir(\"..\")\n", " \n", " \n", "from datenguidepy.query_helper import get_regions, get_statistics\n", "from datenguidepy import Query\n", "import pandas as pd\n", "import matplotlib\n", "%matplotlib inline\n", "\n", "pd.set_option('display.max_colwidth', 150)" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "### Load data with datenguide" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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namelevelparent
region_id
11Berlinnuts1DG
110Berlinnuts211
11000Berlinnuts3110
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" ], "text/plain": [ " name level parent\n", "region_id \n", "11 Berlin nuts1 DG\n", "110 Berlin nuts2 11\n", "11000 Berlin nuts3 110" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# get the ID of Berlin by querying all states by name\n", "get_regions().query(\"name == 'Berlin'\")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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short_descriptionlong_description
statistic
AI1303Straßenverkehrsunfälle je 10.000 Kfzwiki\\n==Straßenverkehrsunfälle je 10.000 Kfz==\\n===Aussage===\\nDer Indikator ist ein Maßstab für die Unfallhäufigkeit im\\nStraßenverkehr. Die Kenn...
AI1302Straßenverkehrsunfälle je 10.000 Einwohnerwiki\\n==Straßenverkehrsunfälle je 10.000 Einwohner==\\n===Aussage===\\nDer Indikator ist ein Maßstab für die Unfallhäufigkeit im\\nStraßenverkehr. Di...
AI1304Getötete bei Straßenverkehrsunfällen je 100.000 EWwiki\\n==Getötete bei Straßenverkehrsunfällen je 100.000\\nEinwohner==\\n===Aussage===\\nDer Indikator ist ein Maßstab für die bei\\nStraßenverkehrsunf...
AI1305Verletzte bei Straßenverkehrsunfällen je 100.000EWwiki\\n==Verletzte bei Straßenverkehrsunfällen je 100.000\\nEinwohner==\\n===Aussage===\\nDer Indikator ist ein Maßstab für die bei\\nStraßenverkehrsun...
VER001Unfälle (insgesamt)Unfälle (ingesamt)\\n \\n \\nErläuterung für folgende Statistik(en):\\n46241 Statistik der Straßenverkehrsunfälle\\n \\nBegriffsinhalt:\\nStraßenverkehrs...
VER002Unfälle mit PersonenschadenUnfälle mit Personenschaden\\n \\n \\nErläuterung für folgende Statistik(en):\\n46241 Statistik der Straßenverkehrsunfälle\\n \\nBegriffsinhalt:\\nUnfäll...
VER005Schwerwiegende Unfälle mit Sachschäden i.e.S.Schwerwiegende Unfälle mit Sachschäden im engeren Sinne\\n \\n \\nErläuterung für folgende Statistik(en):\\n46241 Statistik der Straßenverkehrsunfälle...
VER006Sons.Sachschadensunf.unter d.Einfl.berausch.MittelAlkoholunfälle ohne Personenschaden und schwerwiegende\\nSachschäden\\n \\nUnfälle, bei denen alle beteiligten Kfz noch fahrbereit\\nwaren und gleichz...
VER056Schwerwiegende Unfälle mit SachschadenSchwerwiegende Unfälle mit Sachschaden\\n \\n \\nErläuterung für folgende Statistik(en):\\n46241 Statistik der Straßenverkehrsunfälle\\n \\nBegriffsinha...
\n", "
" ], "text/plain": [ " short_description \\\n", "statistic \n", "AI1303 Straßenverkehrsunfälle je 10.000 Kfz \n", "AI1302 Straßenverkehrsunfälle je 10.000 Einwohner \n", "AI1304 Getötete bei Straßenverkehrsunfällen je 100.000 EW \n", "AI1305 Verletzte bei Straßenverkehrsunfällen je 100.000EW \n", "VER001 Unfälle (insgesamt) \n", "VER002 Unfälle mit Personenschaden \n", "VER005 Schwerwiegende Unfälle mit Sachschäden i.e.S. \n", "VER006 Sons.Sachschadensunf.unter d.Einfl.berausch.Mittel \n", "VER056 Schwerwiegende Unfälle mit Sachschaden \n", "\n", " long_description \n", "statistic \n", "AI1303 wiki\\n==Straßenverkehrsunfälle je 10.000 Kfz==\\n===Aussage===\\nDer Indikator ist ein Maßstab für die Unfallhäufigkeit im\\nStraßenverkehr. Die Kenn... \n", "AI1302 wiki\\n==Straßenverkehrsunfälle je 10.000 Einwohner==\\n===Aussage===\\nDer Indikator ist ein Maßstab für die Unfallhäufigkeit im\\nStraßenverkehr. Di... \n", "AI1304 wiki\\n==Getötete bei Straßenverkehrsunfällen je 100.000\\nEinwohner==\\n===Aussage===\\nDer Indikator ist ein Maßstab für die bei\\nStraßenverkehrsunf... \n", "AI1305 wiki\\n==Verletzte bei Straßenverkehrsunfällen je 100.000\\nEinwohner==\\n===Aussage===\\nDer Indikator ist ein Maßstab für die bei\\nStraßenverkehrsun... \n", "VER001 Unfälle (ingesamt)\\n \\n \\nErläuterung für folgende Statistik(en):\\n46241 Statistik der Straßenverkehrsunfälle\\n \\nBegriffsinhalt:\\nStraßenverkehrs... \n", "VER002 Unfälle mit Personenschaden\\n \\n \\nErläuterung für folgende Statistik(en):\\n46241 Statistik der Straßenverkehrsunfälle\\n \\nBegriffsinhalt:\\nUnfäll... \n", "VER005 Schwerwiegende Unfälle mit Sachschäden im engeren Sinne\\n \\n \\nErläuterung für folgende Statistik(en):\\n46241 Statistik der Straßenverkehrsunfälle... \n", "VER006 Alkoholunfälle ohne Personenschaden und schwerwiegende\\nSachschäden\\n \\nUnfälle, bei denen alle beteiligten Kfz noch fahrbereit\\nwaren und gleichz... \n", "VER056 Schwerwiegende Unfälle mit Sachschaden\\n \\n \\nErläuterung für folgende Statistik(en):\\n46241 Statistik der Straßenverkehrsunfälle\\n \\nBegriffsinha... " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# find out the name of the desired statistic\n", "get_statistics().query('long_description.str.contains(\"Unfälle\")', engine='python')" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
short_descriptionlong_description
statistic
AI1302Straßenverkehrsunfälle je 10.000 Einwohnerwiki\\n==Straßenverkehrsunfälle je 10.000 Einwohner==\\n===Aussage===\\nDer Indikator ist ein Maßstab für die Unfallhäufigkeit im\\nStraßenverkehr. Di...
\n", "
" ], "text/plain": [ " short_description \\\n", "statistic \n", "AI1302 Straßenverkehrsunfälle je 10.000 Einwohner \n", "\n", " long_description \n", "statistic \n", "AI1302 wiki\\n==Straßenverkehrsunfälle je 10.000 Einwohner==\\n===Aussage===\\nDer Indikator ist ein Maßstab für die Unfallhäufigkeit im\\nStraßenverkehr. Di... " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "get_statistics().query('statistic.str.contains(\"AI1302\")', engine = 'python')" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "q = Query.region('11')\n", "\n", "f1 = q.add_field('AI1302')\n", "f2 = q.add_field('AI1304')" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1mkind:\u001b[0m\n", "OBJECT\n", "\n", "\u001b[1mdescription:\u001b[0m\n", "Straßenverkehrsunfälle je 10.000 Einwohner\n", "\n", "\u001b[1marguments:\u001b[0m\n", "\u001b[4myear\u001b[0m: LIST of type SCALAR(Int)\n", "\n", "\u001b[4mstatistics\u001b[0m: LIST of type ENUM(AI1302Statistics)\n", "enum values:\n", "R99910: Regionalatlas Deutschland\n", "\n", "\u001b[1mfields:\u001b[0m\n", "id: Interne eindeutige ID\n", "year: Jahr des Stichtages\n", "value: Wert\n", "source: Quellenverweis zur GENESIS Regionaldatenbank\n", "\n", "\u001b[1menum values:\u001b[0m\n", "None\n" ] } ], "source": [ "f1.get_info()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1mkind:\u001b[0m\n", "OBJECT\n", "\n", "\u001b[1mdescription:\u001b[0m\n", "Getötete bei Straßenverkehrsunfällen je 100.000 EW\n", "\n", "\u001b[1marguments:\u001b[0m\n", "\u001b[4myear\u001b[0m: LIST of type SCALAR(Int)\n", "\n", "\u001b[4mstatistics\u001b[0m: LIST of type ENUM(AI1304Statistics)\n", "enum values:\n", "R99910: Regionalatlas Deutschland\n", "\n", "\u001b[1mfields:\u001b[0m\n", "id: Interne eindeutige ID\n", "year: Jahr des Stichtages\n", "value: Wert\n", "source: Quellenverweis zur GENESIS Regionaldatenbank\n", "\n", "\u001b[1menum values:\u001b[0m\n", "None\n" ] } ], "source": [ "f2.get_info()" ] }, { "cell_type": "markdown", "metadata": { "pycharm": { "name": "#%% md\n" } }, "source": [ "### Plot results" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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011Berlin199567.04.1Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
111Berlin199567.04.1Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
211Berlin199567.04.1Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
311Berlin199567.04.1Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
411Berlin200057.12.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
511Berlin200057.12.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
611Berlin200057.12.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
711Berlin200057.12.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
811Berlin200547.02.0Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
911Berlin200547.02.0Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
1011Berlin200547.02.0Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
1111Berlin200547.02.0Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
1211Berlin200647.72.2Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
1311Berlin200647.72.2Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
1411Berlin200647.72.2Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
1511Berlin200647.72.2Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
1611Berlin200749.21.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
1711Berlin200749.21.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
1811Berlin200749.21.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
1911Berlin200749.21.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
2011Berlin200849.91.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
2111Berlin200849.91.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
2211Berlin200849.91.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
2311Berlin200849.91.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
2411Berlin200945.81.4Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
2511Berlin200945.81.4Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
2611Berlin200945.81.4Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
2711Berlin200945.81.4Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
2811Berlin201041.91.3Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
2911Berlin201041.91.3Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
3011Berlin201041.91.3Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
3111Berlin201041.91.3Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
3211Berlin201148.91.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
3311Berlin201148.91.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
3411Berlin201148.91.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
3511Berlin201148.91.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
3611Berlin201248.11.3Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
3711Berlin201248.11.3Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
3811Berlin201248.11.3Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
3911Berlin201248.11.3Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
4011Berlin201345.71.1Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
4111Berlin201345.71.1Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
4211Berlin201345.71.1Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
4311Berlin201345.71.1Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
4411Berlin201447.71.5Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
4511Berlin201447.71.5Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
4611Berlin201447.71.5Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
4711Berlin201447.71.5Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
4811Berlin201548.01.4Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
4911Berlin201548.01.4Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
5011Berlin201548.01.4Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
5111Berlin201548.01.4Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
5211Berlin201646.51.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
5311Berlin201646.51.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
5411Berlin201646.51.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
5511Berlin201646.51.6Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
5611Berlin201746.01.0Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
5711Berlin201846.61.2Regionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910NoneRegionalatlas Deutschland1995-01-01T00:00:00JAEHRLICH99910None
\n", "
" ], "text/plain": [ " id name year AI1302 AI1304 AI1302_source_title_de \\\n", "0 11 Berlin 1995 67.0 4.1 Regionalatlas Deutschland \n", "1 11 Berlin 1995 67.0 4.1 Regionalatlas Deutschland \n", "2 11 Berlin 1995 67.0 4.1 Regionalatlas Deutschland \n", "3 11 Berlin 1995 67.0 4.1 Regionalatlas Deutschland \n", "4 11 Berlin 2000 57.1 2.6 Regionalatlas Deutschland \n", "5 11 Berlin 2000 57.1 2.6 Regionalatlas Deutschland \n", "6 11 Berlin 2000 57.1 2.6 Regionalatlas Deutschland \n", "7 11 Berlin 2000 57.1 2.6 Regionalatlas Deutschland \n", "8 11 Berlin 2005 47.0 2.0 Regionalatlas Deutschland \n", "9 11 Berlin 2005 47.0 2.0 Regionalatlas Deutschland \n", "10 11 Berlin 2005 47.0 2.0 Regionalatlas Deutschland \n", "11 11 Berlin 2005 47.0 2.0 Regionalatlas Deutschland \n", "12 11 Berlin 2006 47.7 2.2 Regionalatlas Deutschland \n", "13 11 Berlin 2006 47.7 2.2 Regionalatlas Deutschland \n", "14 11 Berlin 2006 47.7 2.2 Regionalatlas Deutschland \n", "15 11 Berlin 2006 47.7 2.2 Regionalatlas Deutschland \n", "16 11 Berlin 2007 49.2 1.6 Regionalatlas Deutschland \n", "17 11 Berlin 2007 49.2 1.6 Regionalatlas Deutschland \n", "18 11 Berlin 2007 49.2 1.6 Regionalatlas Deutschland \n", "19 11 Berlin 2007 49.2 1.6 Regionalatlas Deutschland \n", "20 11 Berlin 2008 49.9 1.6 Regionalatlas Deutschland \n", "21 11 Berlin 2008 49.9 1.6 Regionalatlas Deutschland \n", "22 11 Berlin 2008 49.9 1.6 Regionalatlas Deutschland \n", "23 11 Berlin 2008 49.9 1.6 Regionalatlas Deutschland \n", "24 11 Berlin 2009 45.8 1.4 Regionalatlas Deutschland \n", "25 11 Berlin 2009 45.8 1.4 Regionalatlas Deutschland \n", "26 11 Berlin 2009 45.8 1.4 Regionalatlas Deutschland \n", "27 11 Berlin 2009 45.8 1.4 Regionalatlas Deutschland \n", "28 11 Berlin 2010 41.9 1.3 Regionalatlas Deutschland \n", "29 11 Berlin 2010 41.9 1.3 Regionalatlas Deutschland \n", "30 11 Berlin 2010 41.9 1.3 Regionalatlas Deutschland \n", "31 11 Berlin 2010 41.9 1.3 Regionalatlas Deutschland \n", "32 11 Berlin 2011 48.9 1.6 Regionalatlas Deutschland \n", "33 11 Berlin 2011 48.9 1.6 Regionalatlas Deutschland \n", "34 11 Berlin 2011 48.9 1.6 Regionalatlas Deutschland \n", "35 11 Berlin 2011 48.9 1.6 Regionalatlas Deutschland \n", "36 11 Berlin 2012 48.1 1.3 Regionalatlas Deutschland \n", "37 11 Berlin 2012 48.1 1.3 Regionalatlas Deutschland \n", "38 11 Berlin 2012 48.1 1.3 Regionalatlas Deutschland \n", "39 11 Berlin 2012 48.1 1.3 Regionalatlas Deutschland \n", "40 11 Berlin 2013 45.7 1.1 Regionalatlas Deutschland \n", "41 11 Berlin 2013 45.7 1.1 Regionalatlas Deutschland \n", "42 11 Berlin 2013 45.7 1.1 Regionalatlas Deutschland \n", "43 11 Berlin 2013 45.7 1.1 Regionalatlas Deutschland \n", "44 11 Berlin 2014 47.7 1.5 Regionalatlas Deutschland \n", "45 11 Berlin 2014 47.7 1.5 Regionalatlas Deutschland \n", "46 11 Berlin 2014 47.7 1.5 Regionalatlas Deutschland \n", "47 11 Berlin 2014 47.7 1.5 Regionalatlas Deutschland \n", "48 11 Berlin 2015 48.0 1.4 Regionalatlas Deutschland \n", "49 11 Berlin 2015 48.0 1.4 Regionalatlas Deutschland \n", "50 11 Berlin 2015 48.0 1.4 Regionalatlas Deutschland \n", "51 11 Berlin 2015 48.0 1.4 Regionalatlas Deutschland \n", "52 11 Berlin 2016 46.5 1.6 Regionalatlas Deutschland \n", "53 11 Berlin 2016 46.5 1.6 Regionalatlas Deutschland \n", "54 11 Berlin 2016 46.5 1.6 Regionalatlas Deutschland \n", "55 11 Berlin 2016 46.5 1.6 Regionalatlas Deutschland \n", "56 11 Berlin 2017 46.0 1.0 Regionalatlas Deutschland \n", "57 11 Berlin 2018 46.6 1.2 Regionalatlas Deutschland \n", "\n", " AI1302_source_valid_from AI1302_source_periodicity AI1302_source_name \\\n", "0 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "1 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "2 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "3 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "4 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "5 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "6 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "7 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "8 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "9 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "10 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "11 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "12 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "13 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "14 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "15 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "16 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "17 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "18 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "19 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "20 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "21 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "22 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "23 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "24 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "25 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "26 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "27 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "28 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "29 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "30 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "31 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "32 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "33 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "34 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "35 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "36 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "37 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "38 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "39 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "40 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "41 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "42 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "43 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "44 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "45 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "46 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "47 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "48 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "49 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "50 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "51 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "52 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "53 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "54 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "55 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "56 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "57 1995-01-01T00:00:00 JAEHRLICH 99910 \n", "\n", " AI1302_source_url AI1304_source_title_de AI1304_source_valid_from \\\n", "0 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "1 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "2 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "3 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "4 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "5 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "6 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "7 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "8 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "9 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "10 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "11 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "12 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "13 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "14 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "15 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "16 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "17 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "18 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "19 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "20 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "21 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "22 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "23 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "24 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "25 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "26 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "27 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "28 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "29 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "30 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "31 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "32 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "33 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "34 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "35 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "36 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "37 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "38 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "39 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "40 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "41 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "42 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "43 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "44 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "45 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "46 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "47 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "48 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "49 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "50 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "51 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "52 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "53 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "54 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "55 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "56 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "57 None Regionalatlas Deutschland 1995-01-01T00:00:00 \n", "\n", " AI1304_source_periodicity AI1304_source_name AI1304_source_url \n", "0 JAEHRLICH 99910 None \n", "1 JAEHRLICH 99910 None \n", "2 JAEHRLICH 99910 None \n", "3 JAEHRLICH 99910 None \n", "4 JAEHRLICH 99910 None \n", "5 JAEHRLICH 99910 None \n", "6 JAEHRLICH 99910 None \n", "7 JAEHRLICH 99910 None \n", "8 JAEHRLICH 99910 None \n", "9 JAEHRLICH 99910 None \n", "10 JAEHRLICH 99910 None \n", "11 JAEHRLICH 99910 None \n", "12 JAEHRLICH 99910 None \n", "13 JAEHRLICH 99910 None \n", "14 JAEHRLICH 99910 None \n", "15 JAEHRLICH 99910 None \n", "16 JAEHRLICH 99910 None \n", "17 JAEHRLICH 99910 None \n", "18 JAEHRLICH 99910 None \n", "19 JAEHRLICH 99910 None \n", "20 JAEHRLICH 99910 None \n", "21 JAEHRLICH 99910 None \n", "22 JAEHRLICH 99910 None \n", "23 JAEHRLICH 99910 None \n", "24 JAEHRLICH 99910 None \n", "25 JAEHRLICH 99910 None \n", "26 JAEHRLICH 99910 None \n", "27 JAEHRLICH 99910 None \n", "28 JAEHRLICH 99910 None \n", "29 JAEHRLICH 99910 None \n", "30 JAEHRLICH 99910 None \n", "31 JAEHRLICH 99910 None \n", "32 JAEHRLICH 99910 None \n", "33 JAEHRLICH 99910 None \n", "34 JAEHRLICH 99910 None \n", "35 JAEHRLICH 99910 None \n", "36 JAEHRLICH 99910 None \n", "37 JAEHRLICH 99910 None \n", "38 JAEHRLICH 99910 None \n", "39 JAEHRLICH 99910 None \n", "40 JAEHRLICH 99910 None \n", "41 JAEHRLICH 99910 None \n", "42 JAEHRLICH 99910 None \n", "43 JAEHRLICH 99910 None \n", "44 JAEHRLICH 99910 None \n", "45 JAEHRLICH 99910 None \n", "46 JAEHRLICH 99910 None \n", "47 JAEHRLICH 99910 None \n", "48 JAEHRLICH 99910 None \n", "49 JAEHRLICH 99910 None \n", "50 JAEHRLICH 99910 None \n", "51 JAEHRLICH 99910 None \n", "52 JAEHRLICH 99910 None \n", "53 JAEHRLICH 99910 None \n", "54 JAEHRLICH 99910 None \n", "55 JAEHRLICH 99910 None \n", "56 JAEHRLICH 99910 None \n", "57 JAEHRLICH 99910 None " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results = q.results()\n", "results" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.graph_objs as go\n", "\n", "df = results.set_index('year')\n", "\n", "fig = go.Figure()\n", "fig.add_trace(\n", " go.Scattergl(\n", " x=df.index,\n", " y=df['AI1302'],\n", " mode=\"lines+markers\",\n", " name=\"AI1302\",\n", " )\n", ")\n", "\n", "fig.add_trace(\n", " go.Scattergl(\n", " x=df.index,\n", " y=df['AI1304'],\n", " mode=\"lines+markers\",\n", " name=\"AI1304\",\n", " )\n", ")\n", "\n", "fig.update_xaxes(title_text=\"Time\")\n", "fig.update_yaxes(title_text=\"Accidents\")\n", "\n", "fig.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Both, accidents per 10.000 inhabitants (AI1302), as well as killed people per 100.000 inhabitants (AI1304) decreased significantly especially between 1995 and 2005." ] } ], "metadata": { "file_extension": ".py", "kernelspec": { "display_name": "datenguide", "language": "python", "name": "datenguide" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.4+" }, "mimetype": "text/x-python", "name": "python", "npconvert_exporter": "python", "pycharm": { "stem_cell": { "cell_type": "raw", "metadata": { "collapsed": false }, "source": [] } }, "pygments_lexer": "ipython3", "version": 3 }, "nbformat": 4, "nbformat_minor": 4 }