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onderzoeksrapport/data-analyse/survey.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"from textwrap import fill\n",
"\n",
"FIGURES_DIRECTORY = '../figures'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['Unnamed: 0', 'ID', 'Start time', 'Completion time',\n",
" 'Wat is jouw functie?', 'Hoelang ben je werkzaam bij KEMBIT?',\n",
" 'Beheerwerkzaamheden', 'Troubleshooting\\n', 'Design',\n",
" 'Automatisering\\n', 'Beheerwerkzaamheden2', 'Troubleshooting',\n",
" 'Design2',\n",
" 'Hoeveel ervaring heb je met programmeren (naar inschatting)',\n",
" 'Met welke programmeertalen heb je ervaring?',\n",
" 'Maak je gebruik van automatiseringstools bij je huidige werkzaamheden?',\n",
" 'Welke automatiseringstools gebruik je momenteel?',\n",
" 'Voor welk type werkzaamheden gebruik je deze tool(s)?',\n",
" 'Denk je dat je jouw werkzaamheden beter/sneller zou kunnen uitvoeren door (meer) gebruik te maken van automatiseringstools?',\n",
" 'Waarom niet?', 'Waarom wel?',\n",
" 'Is het gemakkelijk om te leren hoe automatiseringstools ingezet en/of gebruikt kunnen worden in jouw werkzaamheden?',\n",
" 'Is het gemakkelijk om automatiseringstools in te zetten of te gebruiken voor jouw werkzaamheden (in productie omgevingen)?',\n",
" 'Topdesk (voor incidenten, changes en project management)',\n",
" 'Topdesk Asset Management', 'PRTG', 'SuperPuTTY',\n",
" 'Wat kost jou als medewerker de meeste tijd?',\n",
" 'Waarom kost dit veel tijd?', 'Welk proces kan volgens jou beter?',\n",
" 'Waarom kunnen deze processen beter?',\n",
" 'Heb je nog overige opmerking met betrekking tot het toepassen van automatiseren en/of deze enquete?'],\n",
" dtype='object')"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = pd.read_csv(\"survey.csv\", mangle_dupe_cols=True)\n",
"data.columns"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Aantal antwoorden"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"9"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Wat is jouw functie?"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:ylabel='False'>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"q = \"Wat is jouw functie?\"\n",
"\n",
"(\n",
" data[q]\n",
" .value_counts(dropna=True)\n",
" .plot(kind='pie', ylabel=False, autopct='%1.1f%%')\n",
")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Hoelang ben je werkzaam bij KEMBIT?"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"q = \"Hoelang ben je werkzaam bij KEMBIT?\"\n",
"\n",
"order = [\n",
" \"Minder dan 2 jaar\\n\",\n",
" \"2 t/m 4 jaar\\n\",\n",
" \"5 t/m 8 jaar\\n\",\n",
" \"9+ jaar\\n\"\n",
"]\n",
"\n",
"(\n",
" data[q]\n",
" .value_counts()\n",
" .loc[order]\n",
" .plot(kind='pie', ylabel='', autopct='%1.1f%%')\n",
")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Hoe regelmatig verricht je activiteiten welke tot de volgende categorieën behoren?"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"columns = [\n",
" \"Beheerwerkzaamheden\",\n",
" \"Troubleshooting\\n\",\n",
" \"Design\",\n",
" \"Automatisering\\n\"\n",
"]\n",
"\n",
"order = [\n",
" \"Bijna nooit\\n\",\n",
" \"~1 keer per week\\n\",\n",
" \"~2 tot 4 keer per week\\n\",\n",
" \"Bijna elke dag\\n\"\n",
"]\n",
"\n",
"(\n",
" data[columns]\n",
" .apply(pd.value_counts)\n",
" .loc[order]\n",
" .transpose()\n",
" .plot(kind='barh', stacked=True)\n",
")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Welke werkzaamheden zouden volgens jou het meest waardevol zijn om automatisering bij toe te passen?"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 576x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"q = \"Welke werkzaamheden zouden volgens jou het meest waardevol zijn om automatisering bij toe te passen?\"\n",
"\n",
"columns = [\n",
" 'Beheerwerkzaamheden2',\n",
" 'Design2',\n",
" 'Troubleshooting'\n",
"]\n",
"\n",
"names = [\n",
" 'Beheerwerkzaamheden',\n",
" 'Design',\n",
" 'Troubleshooting'\n",
"]\n",
"\n",
"translation_table = dict(zip(columns, names))\n",
"\n",
"order = [\n",
" \"Geen\\n\",\n",
" \"Een beetje\\n\",\n",
" \"Redelijk\\n\",\n",
" \"Veel\"\n",
"]\n",
"\n",
"order_display = [\n",
" \"Geen\",\n",
" \"Een beetje\",\n",
" \"Redelijk\",\n",
" \"Veel\"\n",
"]\n",
"\n",
"order_display_lookup = dict(zip(order, order_display))\n",
"\n",
"plot = (\n",
" data[columns]\n",
" .replace(order_display_lookup)\n",
" .apply(pd.value_counts)\n",
" .rename(columns=translation_table)\n",
" .loc[order_display]\n",
" .transpose()\n",
" .plot(kind='barh', stacked=True, figsize=(8,4), title=fill(q, 60))\n",
")\n",
"\n",
"plot.legend(title='Antwoord', bbox_to_anchor=(1,1), loc=\"upper left\", frameon=False)\n",
"fig = plot.get_figure()\n",
"fig.tight_layout()\n",
"fig.savefig(f'{FIGURES_DIRECTORY}/suvey_mening_toepassingsgebied_automatisering.pdf')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Hoeveel ervaring heb je met programmeren (naar inschatting)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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klKoGzsBYxXmJiKz0/7vhnFTBlKn3rv+rB1iklCpTSu0DqkUkCWN4/30ishr4DEgB6vsV/VpEVgELMdqV6gcL1wDvN/J+pgCv+r//d0AMM/yvFcByYETAsbYopVY28btpWo4rA5gcVNlOQoSYFyNzdfKyjivd2fnxZgcRjPaOl6sf6uFtcCwPRm0kFdiCkUzmKKWaG8UeTJmG5/UFfF//7wiMGlsvYJxSqlZEioAYETkdOBOYpJSqEJEvgfqh/rXq2KPXhu+nsUeyAtyvlHr6uI0i7gYxeYFgbxt/HmS5TsXt2HvqGY5lKz/3jRttdiwaicAVwNMtFTRbuPp5rQCuA94Vkf7A58BFItIbQER6iEhag32CKRMsF1DsT1zfA9ICtpf6E9cIjFvNlswDLvV/H3gb+zHwCxHp5o83pT72NjG6R1zR5v1t7h+R/4jVq21bxq/MDiAYbWnzCuppo1LqG4x2sHygGGNF50/8t3KfYjyaDSy/rqUyrfAyMF5EPBi3sPXTfnwERIhIAZCLcevYkt8As/zHSgmI9xPgFWCB/2dvAQltjBeM2+xe7djf1uKkZvgtEW/o1bat4WR3dr5lBl82RXdStYoc12sYDyy6LJ+SkpOrn4ksI95ldiwarxTlzrTEnNVN0cODrMAYx/gjs8Mwm0NUcl7kYyvNjkMD4AJ3dn5ruvh0OJ28rOFcwPZziofCZMfaycNl2xaz49CIASw9eF4nL2v4sdkBWIUIkXOiHthvdhwaYPFJMHXyMpsxHCjT7DCspK+Ujj/f8bVebdt8Z5odQHN08jLfaLrwU8am5EY+2zOCulqz4+jiRruz8y07aYJOXuazdNXcLNFSN+iuiBebX/VCCzfBGOliSbZekaaTCGnVfPshH1e+U8necoUIXDs2kt+cGs0fPqnivQ11RDlhcA8Hz58bS1KMBLUvwG2fVvHht3WM7uvkxfONh1Avra6hpELxW3+ZULvC+dnox+ouLNmPy7Kf/l3AWcDrLZYyga55mSnHFQNMC+UhIxzwyIwY1s3qxsKr45m9pJZ1+7ycNTiCNTfEs/pX3RjWw8H9X393EZ+m9j1UpVi+x8vqX3UjygmevV4qaxXPr6xl1oSoRqIIDRFc/4x6uCBsJ9CCYdl2L528zDWFY2MrQ6JfgoOx/YyZhBKihfReDnYeVswYHEGEw6hpnZrqZEfZd0fiNLWvQ6DWaywDVlGriHTCw/NruGliFJHO8E6EerJsmjJavl0f1pNozUlzZ+dbcqVznbzMFdYlwIoO+lix28spqcdPi/avlbX8cEjzLQaB+yZEC2cPjWDM00fo182BK1pYtNPLeSMiwxk+ACI4no96sDLsJ9KaY8nal05e5hoVrgOX1ygufKOCx34QQ2L0sdrRvV9VE+GAyzOaTjyN7XvrlGhWXt+NR74fw51fVPOX70Xz3PIaLnmzgnu+Cu86st2lfPSVzk+CGYeqhYclHyrp5GWujHActNZrJJ/LMyK5IP1YknphZQ3vb6zj5QtikSbWvWhq33ordntRCob3dPDmulreuDiOTaU+Nu4P75qld0b8OzWamqqwnkRrykSzA2iMTl5mMcYzDgr1YZVSXP1uFenJTm6edOwp4Eff1vHgvBrevTSWuMjGE1dT+wa684tq/poZTa0PvP5mMwdQEeYeWZHiTX0g8plF4T2L1oT+7uz88DxSbgedvMwzEqMfTUjN2+7l36tr+d+WOkbnlTM6r5wPNtZy4weVlNUozvp3BaPzyrn+faMZaVeZj7Nfrmh233rvFNYyvr+D/gkOkmKE0X2dZDxVTpVXcXLf7yw3EHLnOuaP70/J7pZLaiEmhOGDtr30lDhmyXFdDTxndhh2s96XOu/7NQ9afq6pTmhmUe7MD8wOIpCueZknLO1dnd0w2TF5imPNGrPj6IKaWk/CNDp5meckswOwIxEkL/JRAX3L0MEsd9uok5d5BpodgF0lSOXIG53v6HGPHUvXvLSj2r5Yh8bvIt4aEk9ludlxdCE6eWlAjisKYyUjrY2covo8HvmEnvOr4+jbRg3Qta6QOMOxYpJbdm83O44uIsFqc3vp5GWOPi0X0VoiQvSLkbm7zI6jC7HUraNOXubQNa8QGejYd8r3HYtXmB1HF5FqdgCBdPIyh05eIfRY5JPdHPjCO7hSgxBP39ReOnmZo7vZAXQmsVIzNDviVb3adviFfw6kVtDJyxzhncGvC/ql84OTXJQfNDuOTi580+a2gU5eWqfgENXj6ahHV5sdRyena16aFg6nSMHkdNm6yew4OjFL1bz06kFap7A0Jnrd7CTXvlNXvXX4nLpbK5QzMsXsmDqbWvjuwgcm0slLs60dEc6dTya5Nn4cHz+gxiEnAkS69i47//07Uhee8uettZHdRpscYqdiqWoXOnlpNlMuUvaiK3HVq4nduh10OE5G5LgaVmGqDIisO9J9yvzbuy0b+4evyxIGhnRpuS6uzuwAAunkZQ49nUsr1EHdB93iVjzrctUWRUaMQWRqU2VLE6S3D0ocypc8YdkD0wqH/XTurn5TpiGi23fbz1J96XTyMkeZ2QHYwbLo6ILZ3V3FS2OiT1QiE4LdryyO7a4KkgFGbHh1euLhLYsLh19xIiLdwhdtl3DI7AAC6eRljmKzA7CqnRHOXU8muTZ8ZLRjpQPprT3GjmQ57Np2rHLbf8/Cid2O7N6wbMzv45XDqRvy226v2QEE0lVpc1jqIjBbuUjZU0mJ35w2MGXFD1L79303odvpNQ4Z3NbjFQz47nWdWLZ12OSFd0RF1FV42hdtl2apD12dvMxhqYvADF7wvh8ft/RHKf3mT0pLjXiye9LUUqdzTCjaptamSY/GtkfXHO41dd7tw+KO7NZDidrGUh+6+rbRHF02ea2Ijip8onvS3iVGO9b4cJzj237iVqCkkWFYDlUXfeqSe6asTb/qy729x09vcvVdrSEvsN/sIALppc/MkuMqA7pEA/KuCOfup5Jc6z+Mj0utdjiGdMQ5X3mgbmuEj7TmymxPmb5g45CLRyMS2xEx2dzeWXmZfc0OIpCueZmnmE6cvMpFyl5yJax6JTEhvtToj9WvI89/IIE9vQ81n7wG7Jw7qVv5znUrRv+mB+Kw1B+mBVnqlhF0m5eZdpodQKh5wZsfH7f03JR+8yalpTpnh7Adq7W29JWqYMp1P/TtiZMX/lk5vdUF4Y7J5iw3Y61OXuZZa3YAobIyOmr9L/v2njvWPWB/du/k8ZujIqcgEmdmTGsGStCjWWKqS/tNnZedFlNZsjCcMdmc5a5XfdtoHls/st/tdO5+qrtr/QfxcSnVDsdwYLjZMQVaN1BadRvo9NXETVp01ymek66bW5I8anq44rIxy12vOnmZx3IXQ0uOiJS/5EpY+UpiQtwBh2N0R7djtcbOZAYqqJJWTF0sIKPWPD1964Cz5m064dzxiES3J4aXvnyINVsXkhCbxJ8u+ScAyzfN5YNlc9hbuo1bLphNWq/Gc35j+wK8s/AZ1m1fTGrPIVyZmQ3A4g2fcqTqMN8bdWF7wm2J5a5XfdtonjVmBxAML3g/iI9bel5Kv3mnpqU6nuieNPWA0znW6mMFfQ5xVkeypS37pm3/dMrJq2dvQPn2tSeGU4d9n1ln33/ctv493Fwz424G9xvV6n0rq8vZXrKRP178HE5nBDv3b6amrpqF6z/mtJHntifUlniBdeE8QVtY+gLs1HIOlWLhRvtV0VHrrzHasUpu6508fpMF2rFaa2/3tvdL6llakDFp0d3VDm/NxrYeY0j/UcTFJB63rW/3NPokDWjTviIOvD4vSilq6qpxOiL4fNUbTD/pPJzOsN5EfTsrLzOoByAdSScvc1mqKr7H6dxzV3KPL8enpW68on/f4QtjY6b7RGy7xuSG/tKuWRBiq0pSp87P7htdVbokVDG1R0xUHCMHTiT3P9fhiutBbFQ8RcUFnDyoyUk2QsVS12k93eZlLg/wAzMDqBA58nJiwsqXXAmx/nasTtPfaW2aJJy1sn2dsCO81QmTF945buXJN80t7T7c9Ib8s0ZfylmjLwXg5bkPc874q5hfkE/BjmWk9DyBH4y9IhynteTaALrmZa5vzDipF3wfxsctOy+l77xT0lL5e4+kKXZox2qtggESkkVSBeUYs+rv09O2fvQ1StWG4pjttb1kIyhF76QBLN/8FVef9Wf2HdpF8aEd4TidJceC6pqXub7EmJ2yQ/4fVkdHbXiiu2v3opiYET6RcR1xTjP5Jybc74CeoTje4C3vTUss27rCM/JaNyKmrr35/pLn+elpN/vbwIyp5R0i1NRVh/pUlVg0eemxjWbLcc0DJofr8Huczj15Sa71+d3i+lU5HMPCdR6reu6xuhWJlYwJ5TGPxPUtWjw+WylH5KDmyj3/2T1s3L2K8qpDJMZ25+zxWcRHJ/LmvH9QXnmI2Oh4UnoO4caZD3DwSAmvzH2EG/xPGBvbd/KIswFYteUbduzfxMzxWQC8vSCPgh1LSelxAled8cdQvlWAT2blZX4/1AcNBZ28zJbjuhv4cygPWSFy5JXEhJUvJSbE7Hc6TBmeYxV3vVQ3d+R2Qt5WVRsRe2jhxLs21UYljA31sS3m1ll5mQ+ZHURjuuxFbSGfhuIgPvB9FB+37Hx/O9bjPZKm7I9wjuvKiQugcEB43n9kXaVryoI/jko8tOWrcBzfQkJyfYZDl76wLWIh7ZjTfk1U1Mbr+vSaO8Y9oPgPvZPHfRsVNQWR+BDGZ2tNTUwYCg7lixi/4uHTUnd8ORelLLU4RYgUA6vMDqIp+rbRCnJc7wHnBFt8r9O5Ny8psfD9bvF9q4xxhVoTYmpU+ZxHvPGNTUwYSnt6j1+6Lv2qYYgktlzaNl6blZf5U7ODaIp+2mgN79NC8qoUqfC3Y0WXOB2jETG9z5EdVEVJN6+DbRE+BobzPH2Ll46Pr9izaenYWw8ph7PlLvT2kG92AM3Rt43W8B8aWdDTB75P4mKXX5DS95uJaam+x3okTS4x2rGcJsRoWwcS2N0R50ko3zF4yoI/xkXUHrFkp85WqgT+z+wgmqOTlxXkHCohoGF0bVTUxuv79PpyjHvA3t/36TV2Y1TUVL3mYNtt6SOVHXWuqNrynlPn3z6iW/kOUzogh1D+rLxMS68vqpOXRWyPiHjxLz27z52Qlrr+0pS+Q+fFxZ7us/CUM3ayNq19U9u0lkN5oyYuvX9qv90LvsS+jcqvBlNIRPqIyCsisllElonIAhE5P9zBgU5elnH2gP7vvZmYME43wIfeuoHmDC5PX//S6cM3vLoYpY6Ycf522I/RDtssMVZeegf4Sil1glJqHHApEJJhWS3RycsiPFmeI8CbZsfRGe1IJk2BKVO6pOyed8q4FY/sQHktNwd8M16ZlZdZE0S5TKBGKZVXv0EptVUp9Q8RcYrIQyKyRERWi8h19WVE5A8B2+/2b3OLSIGIPCsia0XkE2lhVSedvKzlX2YH0Bn5JyYsMuv8rsNbhk9ZcGeEs67ScvPANyHY63AksLyJn10NHFJKTQAmANeIyCARmQEMBSYCo4FxInKaf5+hwGyl1EjgINDs1LA6eVmIJ8vzDaBXsQmDvUnmLpgaXXOo99T52YNjK/bONzOOICydlZe5si07ishsEVklIkuAGcCVIrISWIQxOH6of/sMYAVG4hvh3w6wRSlVf+5lgLu58+nkZT2WHEdmdxtS5DtdUTqa01cXM2nxXyb3Ll72pdmxNOPBVpRdCxwd26mUmgWcAfTC6BR8k1JqtP81SCn1iX/7/QHbhyil6ifpD5wSw0sL/VB18rKel4GwTMrUla1Ns05Xk5PW/ev0Id++NR+lrDa18kaMPofB+h8QIyK/CthWP1X4x8CvRCQSQESGiTFs7WPgF+Lv+iMiKSLSuy3B6uRlMZ4sTw3wqNlxdDaFqaGZmDBUBu74YvKYVY9vQvmKzY4lwMOz8jJ9wRZWRjeQ84DpIrJFRBYDc4DbgOcwFu1YLiJrgKeBCH/t6xVggYh4gLeAhLYEq8c2WlDGnIxuwDbA1AnvOpvX7q874ICwDdRui8qYHrsWTbijzOeMNruLzB7APSsvM+SzGYaLrnlZkCfLUw7MNjuOzqY8lm1mx9BQbNWB/tPmZafGVO1fZHIoj9kpcYFOXlb2d4zxZVqI7EjmkNkxNMbpq4mftPCuCT32r/3SpBAOA3ktlrIYnbwsypPl2Qc8ZXYcnUm4JiYMBUE5RnuePH3Qlve/QalgOoiG0mOz8jItmdibo6fEsba/AD/DePRsupr9Nex8did1h41eB91P707yjGT2vLaHwysPIxFCVO8oUq9OxRnvDGpfgD1v7KFsdRmxA2NJvdZoVz84/yB1ZXUkfz85ZPGvSZMeF8w/vo33T7t3M/dIOT2cTt4ddAIAH5UdZnZJCZtrang9LY2TYhrv6N3YvgCP7Cvm6/IjjIiJJrdffwDePXSIg14vV/Zovslt0NYPpyaUbVu1OuP6VMQRkoVDWrADeKADzhNylv0k0sCT5TkE3GF2HPXEKfS9tC9D7xvKCXeewIHPD1C1s4r4k+IZeu9Qht4zlOi+0ezL3xf0vt4KL5VbKxl6z1AkQqjaXoWvxkfp16X0PCO0f7vf9pc0Bcdlr/NdLp5JPX76raFR0fw9JYXxsc2OTml03zKvl3VVVbwzaBCRImyorqLK5+O/hw/x0+7BPX9JPrD25FMX//WIw1u7Kagd2ue2WXmZFR1wnpDTycv6ngNWmh0EQGRSJLFu4w/aGeskun80daV1JJyUgDiNiUrjBsdRe+C7Sxs2tS8Cqk6hlMJX40OcQsmHJfQ8sycSEdrJT/0TE24P3DY+Lg6X8/g/g8HR0QyKankiisb2dQjUKeP9VPkUEQjPHzjA5UndiZTg309cZfHAKfNv7xVVfWhp0Du13vxZeZmvhPH4YaWTl8V5sjw+4Ddmx9FQzb4aqrZWETv4+NpJ6VelJIxqvttO4L7OWCcJJyew6c+biHBF4IhzULm5ksRx4ZlNubRbeCcmjHc4OS2+GxdsLSI5wkmC08nqqkrOTGh9V6ZIb2XilAV/GpN0cOPcMISqsOB11Ro6edmAJ8vzFRaaccJb5WXbE9voe1lfnLHH2raK3y0GJ7gmuVq1b6+zezHkr0Po99N+FL9dTO/ze3Ng7gG2zd5mHDOEtvQN/8SEV/fsyX/dg7itdx/+XrKPm5J78dbBg/xu107y9pe06liCco5d+dj0gds+/QqlQjnEac6svMxw1urCTicv+7gFC3SdUHWK7U9sJ2lSEq7xx5JU6dellK0qY8B1A5Ambo+a2rde5dZKlFJE94vm8JLDDJw1kJriGqr3hK770dqBHTcx4bqqKhTgjori47IyHu2fwraaWopqWv8wccjmd047ad0/V6NUKJ4KlgG3h+A4ptLJyyY8WZ5tQLaZMSil2PmvnUT3iyb5B8eeApatLqPkwxLSfpOGI7rxS6qpfQMVv11Mnwv6GG1gPn+7uoCvJugRKy1aN7Bt4+ja4h8l+/h1cjJ1SuH1PydwCFT52vZ+eu9bMXbi0vsOiK9uaztD++2svMw97TyG6fTwIBvJmJMhwEcYU4p0uCMbjrDlvi1Ep0YfrV31uagPu1/eja/OR0S80fMmdnAsKVelUFtay87nd+K+2d3kvgknG21Bh5cdpnJbJX3ONyY93f3absrXlBOTGsOA60O3GI/Dp7yvPuCtE4gGuGXXThZXVHDQ66VnRAQ39kzG5XRyb/FeDni9JDocjIiO4dkBAyiuq+XOPXt42v+EsbF9L0xKAuCzsjIKq6u4Mdno5fJgcTHzjhxhWHQ0D/Xv3673UBsRX7pw4p1FtVEJY9qw+39n5WVe0K4ALEInL5vJmJPRH/BgsTF6dvLiw3WFMbWMMDuO9vCJo3bZmFsWliWmTWvFbnuAjFl5ma1reLMofdtoM54szy7guhYLak3am4Tt/3gdyhc5YfmD01J2fjUXpYK9D/1FZ0lcoJOXLXmyPG8BL5odh11t7C9es2MIleEbX5+eXvjvZSjV0jJlT87Ky/ywQ4LqIDp52ddNYN687Ha2Nk3izY4hlPrtXTRh/PIH94jP29QklusxnlZ3Kjp52ZQny3MYuAgLdJ+wm8IB1pqYMBQSy7YNnbzgT9ERtRWeBj8qBy6elZfZ6a4TnbxszJPlWQZcSYPxelrz9idKXwWlZscRatG1Zb2mzr99WPyRXfP8mxSQNSsvs2FC6xR08rI5f/vXXWbHYTflsbS3r5QlOVRd9ClL7p3SZ8+iL1Hq7ll5mW+bHVO46OTVCXiyPH/FmBdcC9KOZA6bHUM4jSx8cU/m3Bv/YnYc4aSTV+dxNbDQ7CDsomBAK6Z4sJ95wFXphQWdujlBJ69OwpPlqcJYyaVT3g6F2tqB0lkXN9kInJteWGCr+ejbQievTsST5dmLseinXvexBRtTxN1wYsJOYDNwZnphgamrg3cUnbw6GU+WZxNwOjqBNcs/MWFn+h1tBr6XXlhguRWSwkUnr05IJ7DghHtiwg7U5RIX6OTVaekE1rKiPmLLudsb6JKJC3Ty6tR0AmteR05MGCZdNnGBTl6dnj+BnQasMzsWq1mb1nETE4bBKmB6V01coJNXl+DJ8mwBJgMfmx2LlWzvRZoCO3Yp+D9gSnphQZeuUevk1UX414CcCTxhdixW4XNIRHWk7WbmeBC4IL2w4IjZgZhNr5jdhXiyPF7gpow5GQXA4+j/f4qTKBm4j+FmxxGEGuC69MKCF8wOxCp0zasL8mR5ngTOBkKxEo2tbewv310h13pKMDqfvmB2IFaik1cX5cnyfAqMo4uPh1ybJt3MjqEFc4Fx6YUFX5sdiNXo5NWF+Z9ETsWYUieUC5raRkGqpJgdQxNqgFuBzK78RLE5evUgDYCMORkTgZeAoWbH0tFev7+uVMBKA7XXApenFxasMjsQK9M1Lw0AT5ZnMTAGeMbsWDqahSYmVMBjwHiduFqmk5d2lCfLc8ST5bkOOIcuNLXOjp6WeHDxLTAjvbDgd+mFBVVmB2MHOnlp3+HJ8uQD6cA92LMTZ6sUDhAz/w4qgDuAk9ILCz4zMQ7b0W1eWrMy5mQMBh7GmOiwU8rY4vPc+Zovw4RTvw7cqhvk20YnLy0oGXMypgOPYHSv6FRiq1XZC3/zdhPoqKmhFwC/Ty8sWNBB5+uU9G2jFhRPlmcuMAG4FFhpbjShVRktCV4HOzvgVIsxhvZM1omr/XTNS2uTjDkZM4DbgEyzYwmF2bPrFvc6zMQwHf5j4IH0woIvwnT8LknXvPxExCsiKwNe2S2UzxGRoJdQF5EiEUluY2yni8j7bdk3XDxZnk88WZ4zgInAfwCfySG1SxgmJvQCrwFj0gsLftCaxGXla7E1ROQFEbkoXMfv8gNzA1QqpUabHYTdeLI8S4CLMuZkDANuwritDPsfRqitHShREzaG5C5kL8Yamk+kFxZsbuMx9LUYBF3zaoH/U+puEVkuIh4RGdFImWtE5EMRiRWRK0Rksf8T82kRcTZSPpgyPxCRQhFZDlwQsH2iiCwQkRUiMl9Ehvu3x4nIGyKyTkT+KyKLRGS8/2cz/PssF5E3RYzxfMG8t2B5sjwbPFmem4D+wI+BNwHb9FdaN1D6tGP3SuBV4IdASnphwc3tSFxNMuNaFJEJIvK2//tzRaRSRKJEJEZENvu3DxaRj0RkmYh83URcf/XXxJwi8gcRWSIiq0Xkbv/P3SJSICLPishaEflERGKb+33o5HVMbIOq+k8CflailBoLPAUcVz0XkRsxOnWeB7iBnwBT/J+cXuDyBuXTgygTAzwL/Ajj6V7fgB8XAtOUUmOAPwP3+bffAJQqpU4E7vTvh//24A7gTP97WArcHMx7awtPlqfWk+V5z5PlucQf9zXAV1h8mbFtvUlTxnjCYPmA/wE/B/qkFxZcll5Y8FF6YYE3BOFY5loEVgCj/d9PA9ZgPLg5BVjk3/4McJNSapw/picbnOchoBfG7+oMjCFoE/3HHScip/mLDgVmK6VGAgeBC5v8DaFvGwM1V1V/2/91GQG1IOBKYDtwnlKqVkTOwEgaS8RYkDkWKG5wrGDKjAC2KKU2AojIS8C1/p+5gDkiMhQjIUT6t0/FmKMLpdQaEVnt334qcCIwz3++KIxH9S29t3bzT4D4HPBcxpyM/sBZ/tcZHJ+QTedzSERNBOuj65qd22sX8CnwGfBZemHBnjCFY5lrUSlVJyKb/IluIvA3jGnFncDX/lr8ZOBNObYIeeDaAHcCi5RS14JxFwDMwEiKAN0wktY2jGt+ZcD7czfxOwB08gpWfS9zL8f/zjwYnx6pwBaMfkJzlFK3N3OsYMo056/AF0qp80XEDXzZQnkBPlVK/bSJnzf13kLKk+XZBczxv8iYk5EBnImRzE4D4sN17mAVJ1EyoOS45FWGMSXNpxjJygrrAJhxLX6FcUtci5G4X8BIXn/AuHs72EyyXYJRu+qhlDrgP+f9SqmnjwvEuJYDR3N4MZJpk/RtY/usAK4D3hWR/sDnwEUixsIOItJDRNIa7BNMmULALSKD/f8OTDwuONon6aqA7fOAS/zHPBGo7zG+EJgiIkP8P4sXkWFtebOh5MnyeDxZnkc9WZ6zgSTgJIz3eR/wHh0/tnLvqkGyDngUoxaTAfRILyz4UXphwd8tkriaE65rEeBr4LfAAqXUPqAnMBxYo5Q6DGwRkYv9xxAROTlg34+AXCBfRBIwuo38IqDdNaX+/K2la17HxIrIyoB/f6SUavYRNYBS6hsxHlPnY9Qi7gA+EREHxifVLAL+EJVS60SkpTJVInItxn94BcbFk+D/8YMYt413+M9Z70n/9nUYyW8tcEgptU9ErgJeFTm61NcdwIZgfikdwZPlqcOIdy1G9wIAMuZkJGIktSFAH6C3/9Un4Gsvjt06N6YG2IfxFLA44LXX/9oEFHiyPKVkhfRttYdlrkW/RRi/66/8/14N9FXHOoleDjzlP1Ykxv/h0VkxlFJv+hPXuxgz+L4CLPDfZpYDV2DUtFpFd1LtJPxPiSL9iW8wRvV+uFKqNY3QmmYbuubVecQBX4hIJEa7wg06cWmdma55aZpmS7rBXtM0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W9LJS9M0W/p/TjeXDAOOau8AAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data['Hoeveel ervaring heb je met programmeren (naar inschatting)'].value_counts().plot(kind='pie', ylabel='', autopct='%1.1f%%')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Met welke programmeertalen heb je ervaring?"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:ylabel='False'>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"lan = ''.join(data['Met welke programmeertalen heb je ervaring?'].to_list()).split(';')[:-1]\n",
"\n",
"lan = pd.Series(lan)\n",
"\n",
"lan.value_counts().plot(kind='pie', ylabel=False, autopct='%1.0f%%')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Maak je gebruik van automatiseringstools bij je huidige werkzaamheden?"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:title={'center':'Maak je gebruik van automatiseringstools\\nbij je huidige werkzaamheden?'}>"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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GRnG+BpzNeoN4HhulONVt0+kQb2NnQD8BeFBsyDnYqNE+2OaPl37YvpclQI3r++ifsb5QYfrtac53vPdj52fdRWwc0286sK8frsVej9AQJsO4F/sD+QA7Ft/Xe0xyYWyY/pnY2ZeWYUOOT+1kWk9gDWwm9kf5WDub/wn4Hzb0/XWyT0bk3fZxl+4bwL+xP7Rmt/5kbDNqljuGB7B3rVxMxTZjXvZ878f6iXOhCyHe7jycjp3PZE9sn8oYYJnnSckJ2OP/L3aqvPnYOSm8TalChunnI+fxGhuSfj22L+l999/Xvj75CdY0QkPkYklE5CPsvIrTsqy7C9tmvKz0yrqOiByOnSNyeN6NFaUIhKmGkRcRGYztjEpnWVeDdf/QzH0hIr3ETgVfIyLDsFXih4LWpVQukTEMERkNzAX+YIz5KMsmn2InzPlnKXV1EQEuxTY33sBOTPzrdvdQlCISuSaJoijFIzI1DEVRio8ahqIovlHDUBTFN2oYiqL4Rg1DURTfqGEoiuIbNQxFUXyjhqEoim/UMBRF8Y0ahqIovlHDUBTFN2oYiqL4Rg1DURTfqGEoiuIbNQxFUXyjhqEoim/UMBRF8Y0ahqIovlHDUBTFN2oYiqL4Rg1DURTfqGEoiuIbNQxFUXwTpre3K50klkjVANsAw4BNgc3cf+/nAax/e3omBvty5MXAZ+7P+3khMC+djPt5i7wSYvRFRhEjlkhtCezh/nYFdga2w760uZg0Yl9MPBt4C/umtjfSyXi2t9ApIUUNI+TEEqntgfHA14H9gUHBKtqApcBzwBPAE+lk/L2A9ShdQA0jZMQSqUHAwViDGA+E7U3uHwFPYg3kqXQyviRgPUoHUMMIAbFEamPgGOBEYF9y9zWEDQO8CNwN/D2djC8NWI+SBzWMMiWWSHUHjgBOAr5B8fsggqYR+DdwF/BYOhlvCFiPkgU1jDIjlkjtAZyJrVEMDFhOUCwD7gf+nE7GXw1ajLIeNYwyIZZIjQcS2P4JZT3PAL9LJ+P/C1qIooYRKLFEqgr4LnARsGfAcsqdGcDVwP3pZLw5YC0VixpGAMQSqR7AqcCF2DESin8+AK4F7kgn4+uCFlNpqGGUkFgiJcCxwG8J3+PQcuNj4JfAPelkXAtxiVDDKBGxRGpfYCKwd9BaIsarwAXpZPzZoIVUAmoYRSaWSA3Btr1PClpLxLkXuDCdjC8KWkiUUcMoEq5D8xzgMqB/wHIqhZVALXCDdowWBzWMIhBLpIZjByAdELSWCmU6cFI6Gf8waCFRQ+fDKDCxROokYCZqFkEyDngzlkidFrSQqKE1jALh4j0mAd8PWovShgeBH2qcSmFQwygAbpTmndgJapTyYxFwejoZ/2/QQsKOGkYXiSVSlwCXEp0I0ihzGVCr4zY6jxpGJ4klUj2B24Hjg9aidIj7gVPTyfjaoIWEETWMThBLpDYD/gWMCViK0jleAY7SMRsdRw2jg8QSqd2AR4GtgtaidIkFwDfTyfgbQQsJE/pYtQPEEqlvYJ/xq1mEny2A52KJ1LeDFhIm1DB8EkukjsU2Q/oGLEUpHL2BB9zYGcUHahg+cGZxN1AdtBal4FQBd6pp+EMNIw9qFhWBmoZP1DDaQc2iolDT8IEaRg7ULCoSNY086GPVLMQSqW8BD6BmUam0AMekk/EHghZSbqhhZBBLpEYDU7A96Erlsg74WjoZfyFoIeWEGoaHWCIVw76Ja7OApSjlwefAmHQyPi9oIeWC9mE4YolUP+Ax1CyU9QwCUrFEakDQQsoFNQy+nM37bmBE0FqUsmNH4D435WLFoyfBchnwzaBFKGXL4dhXQ1Q8Fd+HEUukDsO+BFjns1DycVQ6GX8kaBFBUtGGEUukBgFvAUOC1qKEgiXArulkfHHQQoKi0pskt6FmofhnMHbSpIqlYg0jlkidDmhos9JR4rFEakLQIoKiIpsksURqG+BNNFRd6RxrgD3Syfh7QQspNRVXw4glUtXAZNQslM7TG7g7lkjVBC2k1FScYQDnA/sGLUIJPaOBi4IWUWoqqkniXoz8HtAvaC1KJFgN7JhOxhcGLaRUVFoN4yrULJTC0Qf4XdAiSknF1DBiidQo4GV0gJZSWAwwrlKiWiuphnEDahZK4RHgBhePFHkqwjBiidTxaEenUjxGAycHLaIURL5JEkukegNzsO+hUJRisQjYIZ2MrwpaSDGphBrGWahZKMVnc+BHQYsoNpGuYcQSqW7AB6hhKKVhEbB1OhmvD1pIsYh6DeN41CyU0rE5EOkZx8uyhiEiq4wxXRq67Xqt3wZ2KYwqRfHFe8DO6WS8JWghxSDKNYwjUbNQSs8ORDgKumwNQ0T6ishTIvK6iLwlIkd1MIlEUYQpSn4iG2NStk0SYCOgtzFmhYgMwk7/v73xITiWSO0HPFtclYrSLgenk/GngxZRaMq2hoEdQXeViMwEngSG4f8VAP9XNFWK4o9ITrJTzoZxAnZKtL2MMSOBxUDPfDu5d0hEtg2phIZvxhKpgUGLKDTlbBgDgM+MMY0i8lVguM/9jgV6FU+WoviiB/axfqQoO8MQkRqgHrgHGCUib2HH6b/rM4lTiqVNUTrIqUELKDRl1+kpIrsDfzLG7N3RfWOJ1NbYkZ2KUi7skE7G5wYtolCUVQ1DRCYA9wEXdzKJYwsoR1EKwXFBCygkZWUYxphJxphdjDGPdzIJNQyl3IiUYZRdk6SzxBKp4UA6aB2KkoXINEvKqobRRcYHLUBRchCZshklw/h60AIUJQeRKZuRaJK4yNTPgEFBa1GULCwHBqWT8eaghXSVqLy5aSQlMosVr/yLVW8+DgLdBscYdMR5rFs4m+XP3IFpbqT7kO3Y5PBzkapqVs+ZTt2z91DVqy+Dj76Y6l79aVy2iOXT7mLwUZGNT1I2ZCNgFPBSwDq6TFSaJCWp8jWt/JwVrz3KkFMmMvSMW6ClhdWzprA0NZFB3/w5Q8+4hZr+m7LqracAWPnaoww55Tr6jjyc1bOmArD82clstP+JpZCrlBeR6MeIimGU7mK0NGOaGjAtzZimeqRbT6S6hm4DhwHQMzaSNe9Nt9tKFaa5CdNYj1RVs+7jt6nus/GX2yoVRST6MUJvGLFEqgoYV4q8avoNov/e32bhraex4KaTkB696b3T/piWZuoX2adma+ZMp3nF5wAMGPM9Pvvbr1j7/kv02eVA6p7/OwP21aEiFcpYN8dsqIlCH8Z22LdpF53mdatYM/clhk24naoefVjycJLVs6Yw+Js/Z9nTf8I0N9IztidUWR/utfUe9Np6DwBWvf0UvbYZRdMXC/ni5Qep6tmXjcf/kKpueQNwlWjQHTsb1ztBC+kKoa9hALuWKqN16RnUDNiM6t4DkOoaeu8wlvqFs+kxbGeGnHA1m588kZ5bjqDbxm2bHC2N61j11lP02zPO8ufuYZP4BfTYYgSr35lSKulKeVCyslosomAYu5Uqo5r+g2n4ZA4tjeswxrBu/pt022RLmlcvB8A0NbLipQfou8fhbfZb8dKD9N/rSKS6BtPUYKcGEsE0RXY2eiU7JSurxSIKTZKSuXaPoTvSe8dxLLrzPKSqiu6bbUu/3Q9j+bOTWfP+y4Ch38gj6DV89y/3aVq5lIZF77HRfnZqhH57Hcmnf72Aqp59GHx0Z2PslJAS+hpG6AduxRKpudh+DEUpd+ank/FY0CK6QqgNw703dSXRaFoplcGAdDK+ImgRnSXsP7RdCP8xKJXFiKAFdIWw/9i2DFqAonSQUJfZsBvGpkELUJQOEuoyG3bD8PueEkUpF0JdZsNuGKF2a6UiCXWZVcNQlNKiNYwACfXJVyqSUN/kwm4YoT75SkUS6ptc2A1j46AFKEoHCXWZDbthhH5+AaXiCHWZDbthRCF4TqksQl1m1TAUpbRUBy2gK+gPTslKoubeaT+sTmmsTuFptG8dCCdhN4zQv+ehXEk2HX/AIjPwhdqau0aK0CtoPRFiXdACukLY7x5NQQuIMn9tPmzsMQ2XfNhs5NOgtUSIUJfZsBtGY9ACos7LZudd9q+/waw2PWYHrSUihLpWHHbDCO1EJGHiEwZtPqp+0vCPWjZ9MWgtEWB50AK6QtgNY3HQAiqFtfTofUDDxH2eaN5zStBaQs5nQQvoCmE3jFCf/PAhcmbjhQdd3XjMdGPQKc87R6hvcmE3jFCf/LByS/NR405pvGhOi5HPg9YSQkJ9kwu7YYT65IeZaS277/bVhmvXrTPd5gatJWSE+ianhqF0mvlmyBZ71U8a8qnZ+JWgtYSIUJfZsBtGqN06CqymV7+x9X/Ya3rziKlBawkJoS6zYTeMT4IWoIChquqExl8deFPTUc8ao2Nj8hDqMht2w5gVtABlPdc0HbP/WY3nv91iWBa0ljIm1G9vD/WbzwBiidRHhPxdD1Fje1mQfqz7L00Pado6aC1lxqfU1m0etIiuEPYaBsBbQQtQ2jLXbBEbXX/LwM9N/9eLkf7pD69l09+v5Cu3rPpy2T/eaWTELauounQFr36yfvT19I+a2O3WVYy6bRVzl9rly9cZDpm8mpbS3yxDX1bVMJSisIK+A/apv3m311u2m1botE8d2Y3/nti7zbKvbFrFg9/vxQHD2043ce0LDfz7hN5cf1hPJr1qu1eumFbPL/fvQZVIoaXlI/RlVQ1DKRrNVNcc3XDZAX9pOnSqMYULujpgeA0De7X9se88uJodB204N023aljTaFjTaD/P+6KFj1e0cFAskJkdQl9Wwz4fBkTgIkSdS5tOOXBGy3avXt/t5h1E6F/KvH+xXw9OfmgdvbrB5G/34sLH13HFV3uUUoKX0JfVKNQwZqNh7mXPwy3jRsUbrlrSaKo/LmW+I4dU8+IP+vDMKX34YFkLm/etwgDHPLCGEx9cy+JVLaWS0kzIn5BABAwjnYw3AjrSMATMMrFt96m/qfdy02dmqfM2xnDFtHouObAHl06t5+rxPTlzz27c+FJDqSS8QW1dqGfbgggYhuPJoAUo/viCAZuMrr91p9ktWz1XynzverORI7a3fR9rGqFK7N+a0tVNnyhZTkUkKoYRiYtRKTRS0/3whuR+9zcdMMUYOvxs87h/rmHs7auZs7SFLa5bye2vN/DQ7Ea2uG4lLyxoJn7vGg69e/WX269pNNz5ZiNnj+4OwAVjunPEvWs473/rmDCqZK8JicRNLfQDtwBiiVQN8AXQL2gtSsc4rvqpl66quf0rIvQJWksRWQtsTG1d6OcQiUQNI52MNwEa/BRC7ms+eJ+jGy5d0GSqQh1jkYdno2AWEBHDcGizJKS8YbbfcVz9jTUrTa/QP0XIQWTKZpQMIxJtxEplMQM3HVV/67YftGz+fNBaikBkymZkDCOdjM8CPgxah9J56une82sN1+77WPM+U4LWUkAWAm8GLaJQRMYwHH8PWoDSdX7ceO5BlzWe9Lwx4X5LmONv1NaF/8mCI2qGcV/QApTCcEfz4fse1/irec1GQj2lHRErk5EyjHQyPhOdVCcyvNgyYsSBDdc3rTE95gStpZPMpbbutXwbiYgRkWs93y8UkdqiKuskkTIMx11BC1AKxwIzeOio+lu3WGAGvRS0lk7gtyzWA0eLyKBiiikEUTWMUL+/UmnLGnr22b/++tHPNO8+JWgtHaAFuNPntk3AbcD5mStEZLCI/FNEXnF/49zyPiJyh4i8LCJviMhRBVPeDpEzjHQyvgj4b9A6lMJiqKo6rfGig65r/O5zxlCyiLEu8CS1dQs6sP3NwAkiMiBj+Q3ARGPMaOA7wJ/d8l8BTxtj9ga+CvxeRIo+WjZyhuG4LWgBSnG4sfno/U5v/NnsFiNLg9aShz91ZGNjzAps7fgnGavGAzeJyAzgEaC/iPQFDgESbvkUoCewVdck5yeqhvEo8G7QIpTi8EzLHrsf3PD71etMt3lBa8nB+8CDndjveuAMaBNXUwWMMcaMdH/DjDGrAAG+41m+lTFmdpeV5yGShpFOxg1wddA6lOLxoRm61ej6WwYvNhu9GrSWLPye2roOz8xjjPkCuB9rGq08DpzT+kVERrqP/wPOEbETk4rIHp1W2wEiaRiOe7Cj7JSIspI+/cfW37THiy07l1Pg4afAX7uw/7WA92nJT4BRIjJTRGYBE9zyy4FuwEwRecd9LzqRCG/PRSyR+ilwTdA6lOKTqLl32lnVj+0rEvg8tb+gti4ZsIaiEeUaBsAfQd/CVQkkm44/4OzGc2caQ12AMlYAtwaYf9GJtGGkk/FVwC1B61BKw79b9tnzsIbkFw2men5AEiZRWxekYRWdSBuG43oI9K6jlJA5Zqut966/pf9S0++NEme9EriuxHmWnMgbRjoZ/xy4LGgdSulYTr+N96m/+StvtmzzbAmzvZLausUlzC8QIm8Yjj8AYQ1gUjpBEzXdjmq4Yv/JTeOnGkOxXz7yPjCxyHmUBZF+SuIllkgdAaSC1qGUnu9UTXvlmm6TdhIp2iTR36K27uEipV1WVIxhAMQSqX8DhwetQyk9u8m8uQ92/02vGmnZosBJP0lt3dcLnGbZUilNklbOR1+rWJHMNNtuP6b+ph51pnch32/aDJxXwPTKnooyjHQyPgfbn6FUIJ+z0eDR9bfuMKdli+kFSnIStXVRnek8KxVlGI5fA3ODFqEEQwPdehzacPW4B5v369Rb1zx8CPyiULrCQkX1YbQSS6T2BqZD4MOIlQA5qfrxFy+ruXM3EXp3cNdm4EBq6wpVUwkNlVjDIJ2Mv0yJgnWU8mVy8yFjvtfwm/nNpmpRB3dNVqJZQIUahuNK4MWgRSjB8qrZcef96m+QVaan38mjXwMuLaamcqYimyStxBKp7YAZEOkXASs+6En92v92T8yIVS0e285ma4E9qa2r2MmZKrmGQToZf58sE68qlcc6evQ6qOG6Mf9rHjWlnc1+VslmARVew2gllkhNBk4MWodSHpxV/ej0RM19o0To4Vl8P7V1xwQmqkyo6BqGhzOBcpzqTQmAPzYfOe7Exl/ObTayxC2aAZwWoKSyQWsYjlgiNQxrGkOC1qKUB1vKZwtT3X+5oL+sOYbauqDm2Cgr1DA8uPEZU4BeAUtRyoN1wMHpZPz5oIWUC9ok8eDGZ5wARQ+HVsofA5ysZtEWNYwM0sn4Q8CFQetQAucX6WT8H0GLKDfUMLKQTsYnAr8JWocSGFekk/HfBS2iHFHDyEE6Gb8MNY1K5Ip0Mn5J0CLKFTWMdlDTqDjULPKghpEHNY2KQc3CB2oYPlDTiDxqFj7RcRgdIJZIXQD8HjXaqGCwT0O0g9MnahgdJJZIHQncC/QNWovSJVYDJ7nH6IpP1DA6QSyR2g14FNgqaC1Kp1gAHJlOxmcELSRsaNW6E6ST8ZnA3sALQWtROswrwN5qFp1DDaOTpJPxxcBXgXuC1qL45u/AgelkvKNT8ikObZIUgFgidTa2M1SD1sqTdUACuDGdjGuB7wJqGAUilkjthK1t7Bm0FqUNM4AT08l4Rb0/pFhok6RApJPxd4ExwFVotGs50AJcDeyjZlE4tIZRBGKJ1DhgMrB10FoqlPnY0PRpQQuJGlrDKALpZHw6sDswCa1tlBID/BnYTc2iOGgNo8jEEqlRwE3APkFriTivAme7SZCUIqE1jCKTTsZfBcYCZwD6OK/wLAZ+iO2rULMoMlrDKCGxRKoP8HPsjF4dfZ+n0pa1wHXA79LJ+MqgxVQKahgB4GYovxD7egN961rHWAPcDlydTsYXBC2m0lDDCJBYIjUQ+DFwDjAoYDnlzlJsX9BN6WT886DFVCpqGGVALJHqDZwO/BSIBaum7PgI2/T4czoZXx20mEpHDaOMiCVSNcD3gR8ABwESqKDgMMA0bNPjvnQy3hSwHsWhhlGmxBKpLbHvSDkJ2CVgOaXiXeyAt3vSybi+aawMUcMIAbFEai+scRwHbBqwnEKzBPgbMDmdjL8StBilfdQwQoRrsuwNfB0Yj41dqQlUVMdpAl4GngCeBF7UJkd4UMMIMbFEqh+2r2M81kR2DlRQbuZgDeIJYEo6GV8RsB6lk6hhRIhYIjUI2MPztyuwPdC9RBIagbnAW8AbrX/pZHxJifJXiowaRsRxzZhtgJ2AYdg+kM3cf+/njfIkVYcdhv2Z+/N+XojtsJynzYtoo4ahKIpvNPhMURTfqGEoiuIbNQxFUXyjhqEoim/UMBRF8Y0ahqIovlHDUBTFN2oYiqL4Rg1DURTfqGEoiuIbNQxFUXyjhqEoim/UMBRF8Y0ahqIovlHDUBTFN2oYiqL4Rg1DURTfqGEoiuIbNQxFUXyjhqEoim/UMBRF8Y0ahqIovlHDUBTFN2oYiqL4Rg1DURTfqGEoiuIbNQxFUXyjhqEoim/+H8CVU+9tGN+PAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"q = 'Maak je gebruik van automatiseringstools bij je huidige werkzaamheden?'\n",
"\n",
"data[q].value_counts().plot(kind='pie', autopct='%1.0f%%', ylabel='', title=fill(q, 40))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Welke automatiseringstools gebruik je momenteel?"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:title={'center':'Welke automatiseringstools gebruik je\\nmomenteel?'}, ylabel='None'>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"q = 'Welke automatiseringstools gebruik je momenteel?'\n",
"\n",
"tools = ''.join(data[q].dropna().to_list()).split(';')[:-1]\n",
"tools = pd.Series(tools)\n",
"\n",
"tools.value_counts().plot(kind='pie', autopct='%1.0f%%', title=fill(q, 40))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Voor welk type werkzaamheden gebruik je deze tool(s)?"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data['Voor welk type werkzaamheden gebruik je deze tool(s)?'].dropna().value_counts().plot(kind='pie', autopct='%1.1f%%', ylabel='')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Denk je dat je jouw werkzaamheden beter/sneller zou kunnen uitvoeren door (meer) gebruik te maken van automatiseringstools?"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"q = 'Denk je dat je jouw werkzaamheden beter/sneller zou kunnen uitvoeren door (meer) gebruik te maken van automatiseringstools?'\n",
"\n",
"plot = (\n",
" data[q]\n",
" .value_counts()\n",
" .plot(kind='pie', ylabel='', autopct='%1.0f%%', title=fill(q, 50))\n",
")\n",
"\n",
"fig = plot.get_figure()\n",
"fig.tight_layout()\n",
"fig.savefig(f'{FIGURES_DIRECTORY}/survey_pie_meer_automatisering_mening.pdf')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Waarom niet?"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4 Geen tijd voor\\n;\n",
"Name: Waarom niet?, dtype: object"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"q = 'Waarom niet?'\n",
"\n",
"data[q].dropna()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Waarom wel?"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"q = 'Waarom wel?'\n",
"\n",
"title = ('Waarom denk je dat je jouw werkzaamheden beter en/of '\n",
" 'sneller uit kan voeren door het gebruikmaken van automatiseringstools?')\n",
"\n",
"wel = ''.join(data[q].dropna()).split(';')[:-1]\n",
"\n",
"wel = pd.Series(wel)\n",
"\n",
"plot = wel.value_counts().plot(kind='pie', ylabel='', autopct='%1.0f%%', title=fill(title, 50))\n",
"\n",
"fig = plot.get_figure()\n",
"fig.tight_layout()\n",
"fig.savefig(f'{FIGURES_DIRECTORY}/suvey_survey_waarom_automatiseren.pdf')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Is het gemakkelijk om te leren hoe automatiseringstools ingezet en/of gebruikt kunnen worden in jouw werkzaamheden?"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"q = 'Is het gemakkelijk om te leren hoe automatiseringstools ingezet en/of gebruikt kunnen worden in jouw werkzaamheden?'\n",
"\n",
"plot = data[q].value_counts().plot(kind='pie', ylabel='', autopct='%1.0f%%', title=fill(q, 50))\n",
"\n",
"fig = plot.get_figure()\n",
"fig.tight_layout()\n",
"fig.savefig(f'{FIGURES_DIRECTORY}/survey_leren_automatiseren.pdf')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Is het gemakkelijk om automatiseringstools in te zetten of te gebruiken voor jouw werkzaamheden (in productie omgevingen)?"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:>"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"q = 'Is het gemakkelijk om automatiseringstools in te zetten of te gebruiken voor jouw werkzaamheden (in productie omgevingen)?'\n",
"\n",
"data[q].value_counts().plot(kind='pie', ylabel='')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Helpen de volgende applicaties jou met het sneller en/of beter uitvoeren van jouw werkzaamheden?"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:>"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"q = [\n",
" 'Topdesk (voor incidenten, changes en project management)',\n",
" 'Topdesk Asset Management',\n",
" 'PRTG',\n",
" 'SuperPuTTY'\n",
"]\n",
"\n",
"names = [\n",
" 'TOPdesk ITSM',\n",
" 'TOPdesk Asset Management',\n",
" 'PRTG',\n",
" 'SuperPuTTY'\n",
"]\n",
"\n",
"translation_table = dict(zip(q, names))\n",
"\n",
"ans = [\n",
" 'Nee',\n",
" 'Kan beter',\n",
" 'Redelijk',\n",
" 'Ja'\n",
" \n",
"]\n",
"\n",
"(\n",
" data[q]\n",
" .apply(pd.value_counts)\n",
" .rename(columns=translation_table)\n",
" .fillna(0)\n",
" .loc[ans]\n",
" .transpose()\n",
" .plot(kind='barh', stacked=True)\n",
")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Wat kost jou als medewerker de meeste tijd?"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"q = 'Wat kost jou als medewerker de meeste tijd?'\n",
"\n",
"plot = (\n",
" pd.Series(\n",
" ''.join(data[q]).split(';')[:-1])\n",
" .value_counts()\n",
" .plot(kind='pie', ylabel='', title=q, autopct='%1.0f%%')\n",
")\n",
"\n",
"fig = plot.get_figure()\n",
"fig.tight_layout()\n",
"fig.savefig(f'{FIGURES_DIRECTORY}/survey_pie_meeste_tijd.pdf')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Waarom kost dit veel tijd?"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 Bepaalde stappen zijn overbodig afhankelijk va...\n",
"1 veel handwerk, bijv. transfer van nieuw image ...\n",
"2 Teveel repeterende werkzaamheden. \n",
"3 Veel handmatige controlen/handelingen\n",
"4 Regievoering en projecten hebben lange doorloo...\n",
"5 Handmatig invoeren van gegevens uit Topdesk\n",
"6 niet alles geautomatiseerd (updates zouden al ...\n",
"7 Veel repetitieve zaken worden handmatig gedaan...\n",
"8 Onderdeel van takenpakket\n",
"Name: Waarom kost dit veel tijd?, dtype: object"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"q = 'Waarom kost dit veel tijd?'\n",
"\n",
"data[q]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Welk proces kan volgens jou beter?"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<AxesSubplot:ylabel='None'>"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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HA5Z0csCM0M4kIi0i5U8MHlT+xOBBiOqHE3e2r/5CY1PBaU3NU4aq5txM7OV6cKnrGHLINOBB10H0lSWdMJPOblRk5OoB/UdeO6CMa4cPax+WTC75bHNLw7yGpv0Pa28/2FVcQaqz4fIg5UQJXUs6fe1EDopIv62FhUfcWzKUe0uGUqT67vTWtvpzGpuGfLa5ZWr/Pd1HlOGSytZtDB3mOo4ccrjrAIKQ13ckVyysGI13t2dmU20e25FYcWpz885zGpomjkkksmIpl0Yd+HpF221TXMeRQ5LA0PoFc1tcB9IX+d7SGec6gJSIDP6gX9GsW0sj3FoaYWAyueqYHa0bzmtoHDGztW1yQYbOoVuvw7e5jiHHFACTgMWuA+mLfE86WbmY3o6CgklPDR406SmvM3rzhPb2N/6xsVk+39Q0JZLUjFlFc7WOt+Hy4GVFK3dfnCUdEZkDTFTVO0RkJDBEVdeEHEZ2tHT2QUVGvNW//4jrhvfnurLSjkgyufSzLTu2zWto3L98Z/sEl7HFkwfn7U2RaZT193k5SToichXe1IPDgDuAfsDdwHEhh5KVLZ29EinaXlg4/b6hQ7hv6BAKVddOa2t759yGpkEntrRMHaAUhxnOsqQNl6eBJZ1eOhNv1GgxgKquFxEXEyazvqWzLwmR8UuKi8cvKS4G1ZYxicSizzU1t57b2DRxv45E2gt+1+kBOf3v64glnV7aqaoqIgogIoMdxZE/XwqRQRuKimbeXhrh9tIIxcnk6tk7WtfPa2wafsyO1ilBd0YnVT5qYMjwII9pAOvT6bU/iMivgFIRuQS4CLjVQRx5e+Naa0HBoc8MHnToM15n9JaD2zvqzmhskjObmidHksnSvh6/iYHrAUs6wbOWTm+o6s9E5CSgAa9f5/uq+riDUFy1sDKKipS93b/fcdcPH8b1ZaWJkmRyWWXLjq3zGprGTdm5c2JvjrlehzcEHacBLOn0np9kXCSarvL9loFPEilsKCw8/IGhQ3jA74ye2rbznXMamwae3NwytVh1YCqHseHytCl1HUBfuRq9+kfgJ8AovFnWAqiGP+HRZkB3IyEyflnxgPHLigfwHyPKdoxOJF75h6aWHec2Nk4Y35HYa5/YsuQEGy5Pj6z/zLr6TX8dcJqq1jk6fydr6fSEyMCNRUVH31lawp2lJQxIJt+c2dq2bl5DY9lxO1qnFHorUgKwPHmwzblKj8LuN8lsrr50GzMg4YAlnT5pKyiY+NyggROfGzQQUd0abe+oO6OpSc9sbC634fK0yfrPrKs38KqI3AM8ALR1Pqmq94UcR9Y3VTOFigxb07/fsTeUDePx7ZHl//p+80ctQ8tyYlZ0JlFodB1DX7lKOiVAC3Byl+cUCDvpZP1vjUx06SPJllHbrz/2+WOveaOj3+CcqAGTKXKhzKSrIfMLXZzXpN+4zfru6G3MFDoKZi+6evwLx1yzRguKDnIdVw7J+lFBJyURRGS8iNwvIpv8x59ExMU8qO0OzpnTLns48a74n6v+7c1lM1+5pgBNfuQ6rhzS4TqAvnJVh+UOvFqv+/mPh/znwmZfhgBFmnXzoet2XSpl8I6NBx6+/Jb1qLa6iivHWEunl0aq6h2q2uE/7gRcrBO+xcE5c9ZFjyVXCHzi5sHhW+sqJr71xyXkc5nK4HzoOoC+cpV0PhKR80Wk0H+cj5tWhyWdgPRv1x2zVmnF3l7ff92zx4zd8OJfw4wpR611HUBfuUo6FwHn4NUn/gA4C3DRuWxJJyDn/jX5SkE3EzzL3/jtCSXb11ji6Zt1rgPoKydJR1XfVdXPq+pIVR2lqmeo6nsOQrE+nQCIavIfXtUDU9l2xpLrj+vftu3VdMeUw7K+pRPqkLmIfH8fL6uq/jC0YDzW0gnASYt1UVGS2alsK2jh7EU/mPT8sde+kSwccFi6Y8tBWZ90wm7pNO/hAXAx8J2QY4EcaKpmgi8+k+xR1ceiRNuQ2Yt+WIImPkhXTDks6z+zoSYdVb2+8wH8Gm+k40LgfwEXK1pmwvyvrHbEW8llg3bS47Wtitu2jj1q8fWNqGb9bf0hs5ZOT4lImYj8CFiOd3l3pKp+R1U3hR0LsNLBOXPKJY8m27rfas9KGt89dErdHW+gmvU3vIXIWjo9ISI/BV7Bm7RWoaoxVd0aZgxdxavi2/FGz0wvHLhR3x7esOvNgD01etNrRx343qMvBhVTjtsyv6Zyh+sg+irsls438e5A/h6wXkQa/EejiLgqb2mXWL10+cOJ9RLAHMQJax761PCP4s/0PaKclxOf1bD7dApUdaCqDlXVki6PoQ6qBnbKif/IsA1r1E0HbWBmUMebFq85YWDLxr8Fdbwc9ZLrAIKQkWtgh8z6dXrhkkeSKwUGBHU8AZn1yjUzitpblgd1zBz0susAgmBJx5JOjxXv1KYZb+kRQR+3QDsGzF4UGy/Jjvqgj50jrKWTI14hB2buhumLTydfE4ik49j925vLZr56jVg5jE9YN7+m8n3XQQQh75NOvCrejJd4TAoKktpx0lKdkM5zDG6xchh7kBOXVmBJp9PTrgPIFp97RRcVJkl7wTUrh/EJlnRyjCWdFJ3zXLIsrHN55TBeslnpnpzozwFLOp1eoMuqFGbPZq1KLi5uZ1KY5yx/4+4TShryvhxGB5AzM/Mt6QDxqngrOfSbJF0ueiyZdHHeGYvzvhzGi/NrKltcBxEUSzofs0usfZiwXlcPa+YoF+fuLIdRkGh7w8X5M8AfXQcQJEs6H3vEdQCZ7PKHE05r835cDiOZb3PlFPiT6yCCZEnHF6+Kvwy84zqOTDRiu36w/4fBTXnoreK2rWNnLL6+Ic/KYbwwv6ZyvesggmRJZ1e/dx1AJvrqw8nVkiFLMEca6w+bXHdnPpXD+IPrAIJmSWdXv3UdQKYZ1Krbp9Xrka7j6GrMplfzpRxGzl1agSWdXcSr4nXAMtdxZJKvPJlcKtCjcqRh8MphrHjWdRxplnOXVmBJZ09+5zqATFGY0PYT4nqo6zj2Zlr8v4/P8XIYOTVq1cmSzif9Hq9Zm/dOf0lfLlTGuo5jbwRk5qvXHJmj5TAUuNd1EOlgSWc38ar4+0CuN9tTcubfkqNdx9CdwmRHsV8O413XsQTs4Vy8tAJLOntzs+sAXPvUiuSrAzqY6DqOVPjlMMixchg3ug4gXSzp7Nn9QK795uyRqieSha5j6IkcK4excn5N5eOug0gXSzp7EK+KJ4Bfuo7DlUnva13JDgKvDJhuXjmMe3OhHEbOtnIgxaQjIuNF5M8i8qaIvC0iN4pI/1RPIiIXiMhNPQlMRGIi8q2e7JPicaMisiKFTW8FXK1Q4dRlDyecLQvUV/uve+aYsRteyuY+uQ+Bu1LZUET+Q0ReF5HlIrJURGalKygR+YGInOj//HURGdTbY3WbdEREgPuAB1R1InAoMAT4cW9PmsI5Q11jfU/iVfEG4BbXcYRtzBZ9f+wW0vbhDUP5G3d/emhD/XOu4+ilG1JZ20pEjgFOxVuschpwIpCWcqYiUqiq31fVJ/ynvg6kL+kAlUCrqt4BoKoJ4BvARSJyhYjcJyKP+K2g67oEeqGIrBaRRcBxXZ4fKSJ/EpFX/Mdx/vMxEblLRF7g40w/WUSeEZF3ROTKLsf4VxFZ4T++7j+3SwtGRL4lIjH/5xkiskxElgHze/DvcwOQ9Yub9cRlDyfeEciq/pw9mbHk+mOysBzGdlIfxBgLbFbVNgBV3ayq6/3P+rMi8pqIPCoiYwFE5BARecL/HiwWkQki8mkR+UvnAUXkJhG5wP+5XkR+IiKLgbNF5E4ROcv/Hu4HPC0iT4vIRSLy8y7HuEREbthX4KkknSnAa12fUNUG4D28ZYGnA+cCFcC5IrK//0avxks2c4DJXXa/EbhBVY8GvgD8T5fXJgMnqup5/t8nAacAM4GrRKSfiMzAW/98FjAbuEREuut/uAP4mqoensL7/bt4VXwTcFtP9slmQ1p0a/n7bspXBK1Ak0WzF/3gsCwrh3Hz/JrKVC/pHwP293+x3yIiJ4hIP7y+yLNUdQZwOx9fkfwWuNn/DhxLaivbfqSqR6rq/3Y+oaq/ANYDn1HVz+DNDTvNPzd4383b93XQIDqSn1TV7eqNGqwEDsRLCM+o6oequhO4p8v2JwI3ichS4EGgRESG+K89qKpdWxa1qtqmqpuBTcBovCR2v6o2q2oT3qXfp/YWnIiUAqWq2ll9LqXr5S5+SJ707Vz4RHKZwGDXcQSlKNE2NIvKYWzHa1mnxP/szwAuxesHugf4KjAVeNz/fn0PGC8iQ4Fxqnq/v2+rqqZSFOye7jbw43gKOFVEJgH9VDW+r31SSTor8d7c34lICXAAXhnFrmU+E3itn+7OOVtVp/uPcX7gAM27bduTY3ew6/sp7iaOlPitnbT1X2WKog5tO26lTnEdR9CyqBxGbH5N5eae7KCqCVV9RlWvAv4Z78rh9S7frQpVPXkfh+juO7P793Fv/ge4AK+Vc0d3G6eSdJ4EBonIV8DrVAKuB+4E9pYtXwZOEJHhfrPr7C6vPQZ8rfMvIjI9hRi6eg44Q0QGichg4Ez/uY3AKP+cA/A62VDVbcA2EZnj7/+lHp4P4OfA273YL2uc9UJyUYEy0nUc6ZAF5TBWAD0d3T1MRLrevDkdb4nskX4nM353xBT1Eu5aETnDf36AP/r0Ll6/6QD/iuCzKZ6+kS6TgFX1ZWB/4IukUB6m26Sj3j0PZ+J1Jr0JrAZage/uY58PgBjwIl7R867rhV8JHOUP860ELusuht2OvRgv4S3CS27/o6pLVLUd+IH//OPAqi67XQjc7Dc5pSfnA4hXxXcC3+7pfllDVU97WdO+rIxLXjmMxzK1HMbX5tdU9jQhDgEWishKEVmO1x/6feAs4Cf+oMlSvP4bgC8DV/rb/g0Yo6rv4/XJrPD/XJLiuX8NPCIiXUv8/gF4QVW7vd1Csv8+qvBULKx4Gvi06ziCVrk0+fJl/5fM6mHyVC2tuOLZLcOnnOA6ji7umV9TOc91EH3lj4LdoKpPdret3ZHcM98AnKyIkE7nP5Uc6DqGsBwev+X4gS2bMqXF0wx803UQfSEipSKyGtiRSsIBSzo9Eq+KL8VrWuaMijXJ+JA2prmOIyxeOYwfH5Eh5TB+NL+mcp3rIPpCVbep6qGqenb3W3ss6fTcv5FDBdwv/b9kqiMUOSNDymGsBv7L4fmdsaTTQ/GqeBNep1zCdSx9Nf5DrR+13f0qDy545TCuVVS3ODi9AlfMr6nc6eDczlnS6YV4VfxvwHXdbpjhLn848b7k8WdgcMuG6OHLb16LP5UgRNfOr6lMqf8jF+XtBy4AV5H6EGPGiTTr5kPWc7TrOFwbvrVu2iFv/+m1EMthPIc3tJ23LOn0Urwq3g6cj3fPUta5+NHkCgnoru1sd8Dap48ds+Hlv3a/ZZ9tBs6bX1OZ9ZfmfWFJpw/iVfGVQLXrOHqqf7u2zHxD82bEKhWT37jrhKEN76azHIYCX8720aogWNLpo3hV/EaybGXQec8mXy2AMtdxZJoZS352TP+27ekqh/GT+TWVj6Tp2FnFkk4wLsKbkpHxCpKa+H+vadR1HJnIK4dx9WEFiZ2rAz7088B/BnzMrGVJJwDxqngrcAZpqtwWpJMX66KiJAe4jiNTFSXahs5a9MOhAZbD6OzHydTJpqGzpBOQeFV8A/B5Ui8H4MR5zyYjrmPIdAPbtgRVDqMJOHV+TeXaIOLKFZZ0AuRPkzifDF0hdMabyaUDd+5SxdHsRQDlMNqAM+bXVGbFZXeYLOkELF4VfwD4d9dx7Mk/PZpsdx1DNhmz6dWjDnj/8d6slZ7Au6TK2xsA98WSThrEq+I/IcOqDUY36NtljblR/zhMh7zz5+PLPnq9J0vaKHDJ/JrK+9MVU7azpJMm8ar498igxHP5w4kPpBcFzEyPy2F8a35NZbclO/OZJZ00ypTEU9agG6Mb83NiZxC6lMPYZ8Fx4MfzayrzcuZ4T1jSSbNMSDyXPJKsE0h5RVbzSV45jKv320c5jJvm11R+L9SgspQlnRC4TDzFO7XpyLc169Ylz0T925uG76Ucxg/m11R+bY87mU+wpBMSP/F8l5CH07/0VPI1Abs3JyCDWzZED4/f0lkOIwFcNr+m8irXcWUTSzohilfFr8Wr1p/KQmd9VpDUjhOX6iFhnCufDN+yctohb9/3EnDW/JrKX7mOJ9vYahAOVCysOAJvddO0Lvvy+ZeSL5z/dPK47rc0PbQBOL18Vd0i14FkI2vpOBCvii/BW5/9lXSe5+znkiPSefw8tRyYZQmn9yzpOBKvin8AnEAK60X3xjF1ydcGdHBYOo6dx24HZpevqnvPdSDZzC6vMkDFwopv4o1uDQjqmL/+Rcdrpc27rkFveq0ZuKx8Vd3drgPJBdbSyQDxqvj1wNF4Tfc+O2SdvmEJJzBx4ChLOMGxpJMh4lXxOF7i+Sl9XEX08ocTmwMJKr8p8N94/TerXAeTS+zyKgNVLKw4HvgNcGBP9x25Tdff9N+JUQJFwUeWN1YDl5SvqgujWHvesZZOBopXxf8KTANuo4c3E371/5JvWsLptQ7gWuBwSzjpYy2dDFexsOJo4Aag2/ttBrXq9jtuSBQIDE1/ZDnnVeCfylfVLXMdSK6zlk6Gi1fFX4lXxecA84B9DtVWPZFcYgmnx94DqvD6bizhhMBaOlmkYmFFMfAtvLW2Bnd9rSihO+/+aWJrgTLaSXDZZxtwDfDL8lV1WblgYraypJOFKhZWjAWuxvsN3R/grOeSz5/zfHKO08CyQxtwM/Dj8lV1u88WNyGwpJPFKhZWjAO+ieold/80sbF/ggmuY8pgW/CGwH9Zvqpuo+tg8pklnRxwafWUYd94IHkFMB8Y6zqeDFOP1xF/W/mquoxeHihfWNLJIXWTyvvjdThfDHyK/K2JrMBTwK3AveWr6hKO4zFdWNLJUXWTyg8GvuI/DnIcTljeBBYCd9mkzMxlSSfH1U0qF+B44MvAqZBzo1vr8WoT3VW+qq43a1SZkFnSySN+AjoKmOs/ZpB9l2BJYBFQC9SWr6pb4jge00OWdPJY3aTyMcApwLHALGAqUOg0qE/qwJt9/xLwIvBo+aq6D92GZPrCko75u7pJ5YPxZrrPwqtseBgwASgOKYSdwFvA63itmZeBV8tX1e0I6fwmBJZ0zD7VTSovwKvlPBE4xH+MBsqA4f6fZcAw9t5K6gC24t0rswX4yP9zE7AGeAd4G1hTvqquI13vxWQGSzomEH5/0R5nt5evqmsPORyTwSzpGGNCZbPMjTGhsqRjjAmVJR2TcUQkISJLRWSZiCwWkWN7eZw7ReSsoOMzfWNlLU0m2qGq0wFE5BS8EqInOI3IBMZaOibTleANtyMiQ0TkSb/1ExeR0zs3EpGviMhyv3V01+4HEZEf+i2fCSKyosvz3xKRmP/zMyJyo9/KWiEiM9P/9vKPtXRMJhooIkvxbkocC1T6z7cCZ6pqg4iMAF4SkQeBycD3gGNVdbOIlHU9mIj8FK+M64V0v8LGIFWdLiLH463oOTWoN2U8lnRMJup6eXUM8BsRmYo3T+waPyEkgXF4NypWAn9U1c0Aqtq1IuB/Ai+r6qX+8bo79+/9Y/xVREpEpFRVtwX1xowlHZPhVPVFv1UzEvic/+cMVW0XkXq6n6LxCjBDRMr8ZNTBrt0Ku++/+41rdiNbwKxPx2Q0EZmEN73iIyACbPITzmf4+FLpKeBsERnu79P18uoRYAFQKyJDgY3AKBEZLiID8Mp9dHWuf4w5wHZV3Z6mt5a3rKVjMlFnnw54l1RVqpoQkd8CD4lIHG+dqlUAqvq6iPwYeFZEEsAS4ILOg6nqH/2E8yBea+kHeBNK13Ueo4tWEVkC9AMuStP7y2s2DcIYn4g8A3xLVV91HUsus8srY0yorKVjjAmVtXSMMaGypGOMCZUlHWNMqCzpGGNCZUnHGBMqSzrGmFBZ0jHGhMqSjjEmVJZ0jDGhsqRjjAmVJR1jTKgs6RhjQmVJxxgTKks6xphQ/X8RhT8zCKnTuQAAAABJRU5ErkJggg==",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"q = 'Welk proces kan volgens jou beter?'\n",
"\n",
"pd.Series(''.join(data[q]).split(';')[:-1]).value_counts().plot(kind='pie')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Waarom kunnen deze processen beter?"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 Handmatige handelingen die gemakkelijk geautom...\n",
"1 monitoring: automatisch ticket logging in topd...\n",
"2 Omdat in alle processen nog sprake is van hand...\n",
"3 Ontbreken van informatie die handmatig verwerk...\n",
"4 Security inzake de netwerkapparatuur moet omho...\n",
"5 Tijdsbesparing\n",
"6 tickets worden niet autoamtisch gemaakt, backu...\n",
"7 Er zijn nog veel aspecten die geautomatiseerd ...\n",
"8 Er zijn te veel mensen met een beheeractivitei...\n",
"Name: Waarom kunnen deze processen beter?, dtype: object"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"q = 'Waarom kunnen deze processen beter?'\n",
"\n",
"data[q]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Heb je nog overige opmerking met betrekking tot het toepassen van automatiseren en/of deze enquete?"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 Beschrijf welke processen geautomatiseerd gaan...\n",
"7 Goed bezig Martijn!\n",
"Name: Heb je nog overige opmerking met betrekking tot het toepassen van automatiseren en/of deze enquete?, dtype: object"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"q = 'Heb je nog overige opmerking met betrekking tot het toepassen van automatiseren en/of deze enquete?'\n",
"\n",
"data[q].dropna()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"interpreter": {
"hash": "ea1175b0932f00d2b58fb6a2f3af8047ca04025dae9e2c2d6af217f64905f42b"
},
"kernelspec": {
"display_name": "Python 3.10.0 ('venv': venv)",
"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": "3.10.4"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}