YannAhlgrim
692 lines
156 KiB
Plaintext
692 lines
156 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Lernfall 1"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Datensatz laden"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|
" vertical-align: middle;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe tbody tr th {\n",
|
|
" vertical-align: top;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>Vertragsnummer</th>\n",
|
|
" <th>Jahr</th>\n",
|
|
" <th>Vertragsalter</th>\n",
|
|
" <th>Status</th>\n",
|
|
" <th>Marktzins</th>\n",
|
|
" <th>Tarifzins</th>\n",
|
|
" <th>Guthaben</th>\n",
|
|
" <th>Sparbeitrag</th>\n",
|
|
" <th>Beruf</th>\n",
|
|
" <th>Alter</th>\n",
|
|
" <th>p</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>10000</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>gekuendigt</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>3933.85</td>\n",
|
|
" <td>3619.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>48</td>\n",
|
|
" <td>0.154465</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>9999</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>523.93</td>\n",
|
|
" <td>482.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>28</td>\n",
|
|
" <td>0.154465</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>9998</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>7281.81</td>\n",
|
|
" <td>6699.0</td>\n",
|
|
" <td>selbstaendig</td>\n",
|
|
" <td>22</td>\n",
|
|
" <td>0.231475</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>9997</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>8905.79</td>\n",
|
|
" <td>8193.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>26</td>\n",
|
|
" <td>0.154465</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>4</th>\n",
|
|
" <td>9996</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>8566.65</td>\n",
|
|
" <td>7881.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>30</td>\n",
|
|
" <td>0.154465</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" Vertragsnummer Jahr Vertragsalter Status Marktzins Tarifzins \\\n",
|
|
"0 10000 1 1 gekuendigt 8.7 8.7 \n",
|
|
"1 9999 1 1 aktiv 8.7 8.7 \n",
|
|
"2 9998 1 1 aktiv 8.7 8.7 \n",
|
|
"3 9997 1 1 aktiv 8.7 8.7 \n",
|
|
"4 9996 1 1 aktiv 8.7 8.7 \n",
|
|
"\n",
|
|
" Guthaben Sparbeitrag Beruf Alter p \n",
|
|
"0 3933.85 3619.0 angestellt 48 0.154465 \n",
|
|
"1 523.93 482.0 angestellt 28 0.154465 \n",
|
|
"2 7281.81 6699.0 selbstaendig 22 0.231475 \n",
|
|
"3 8905.79 8193.0 angestellt 26 0.154465 \n",
|
|
"4 8566.65 7881.0 angestellt 30 0.154465 "
|
|
]
|
|
},
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"import pandas as pd\n",
|
|
"\n",
|
|
"data = pd.read_csv('VertragsdatenABCAG.csv', sep=',', decimal='.') # Daten einlesen\n",
|
|
"\n",
|
|
"# Erste 5 Zeilen anzeigen\n",
|
|
"data.head()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Klassifizierung der Features\n",
|
|
"\n",
|
|
"### Stetige (metrische) Variablen\n",
|
|
"- Marktzins\n",
|
|
"- Tarifzins\n",
|
|
"- Guthaben\n",
|
|
"- Sparbeitrag\n",
|
|
"- Alter des Vertragsinhabers\n",
|
|
"\n",
|
|
"### Ordinale Variablen\n",
|
|
"- Vertragsalter\n",
|
|
"- Jahr\n",
|
|
"\n",
|
|
"### Nominale Variablen\n",
|
|
"- Status (aktiv, Vertragsende, verstorben, gekündigt)\n",
|
|
"- Beruf (angestellt, arbeitslos, selbstständig)\n",
|
|
"- Vertrag (Vertragsnummer) --> Unique Identifier\n",
|
|
"\n",
|
|
"### Sonstige\n",
|
|
"- p (technische Systemvariable)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Visualisierung der Daten"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|
" vertical-align: middle;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe tbody tr th {\n",
|
|
" vertical-align: top;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>Vertragsnummer</th>\n",
|
|
" <th>Jahr</th>\n",
|
|
" <th>Vertragsalter</th>\n",
|
|
" <th>Status</th>\n",
|
|
" <th>Marktzins</th>\n",
|
|
" <th>Tarifzins</th>\n",
|
|
" <th>Guthaben</th>\n",
|
|
" <th>Sparbeitrag</th>\n",
|
|
" <th>Beruf</th>\n",
|
|
" <th>Alter</th>\n",
|
|
" <th>p</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>232632</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>7</td>\n",
|
|
" <td>7</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>3.3</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>78124.99</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>47</td>\n",
|
|
" <td>0.000017</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>276777</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>8</td>\n",
|
|
" <td>8</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>4.5</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>93491.77</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>48</td>\n",
|
|
" <td>0.000083</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>28187</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>5.4</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>17885.40</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>selbstaendig</td>\n",
|
|
" <td>42</td>\n",
|
|
" <td>0.001744</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>348753</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>Vertragsende</td>\n",
|
|
" <td>5.3</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>128352.37</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>50</td>\n",
|
|
" <td>0.000184</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>318077</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>9</td>\n",
|
|
" <td>9</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>7.2</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>110195.46</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>49</td>\n",
|
|
" <td>0.003872</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" Vertragsnummer Jahr Vertragsalter Status Marktzins \\\n",
|
|
"232632 1 7 7 aktiv 3.3 \n",
|
|
"276777 1 8 8 aktiv 4.5 \n",
|
|
"28187 1 2 2 aktiv 5.4 \n",
|
|
"348753 1 10 10 Vertragsende 5.3 \n",
|
|
"318077 1 9 9 aktiv 7.2 \n",
|
|
"\n",
|
|
" Tarifzins Guthaben Sparbeitrag Beruf Alter p \n",
|
|
"232632 8.7 78124.99 7884.0 angestellt 47 0.000017 \n",
|
|
"276777 8.7 93491.77 7884.0 angestellt 48 0.000083 \n",
|
|
"28187 8.7 17885.40 7884.0 selbstaendig 42 0.001744 \n",
|
|
"348753 8.7 128352.37 7884.0 angestellt 50 0.000184 \n",
|
|
"318077 8.7 110195.46 7884.0 angestellt 49 0.003872 "
|
|
]
|
|
},
|
|
"execution_count": 20,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Sortieung der Verträge nach Vertragsnummer\n",
|
|
"data = data.sort_values(by='Vertragsnummer')\n",
|
|
"data.head()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Anzahl der Dateninstanzen: 348755\n",
|
|
"Anzahl der Features: 11\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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",
|
|
"text/plain": [
|
|
"<Figure size 2000x1500 with 9 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import matplotlib.pyplot as plt\n",
|
|
"\n",
|
|
"# Anzahl der Zeilen und Spalten\n",
|
|
"print(\"Anzahl der Dateninstanzen: %d\" % data.shape[0])\n",
|
|
"print(\"Anzahl der Features: %d\" % data.shape[1])\n",
|
|
"\n",
|
|
"\n",
|
|
"\n",
|
|
"# Histogramm aller numerischen Spalten\n",
|
|
"data.hist(bins=50, figsize=(20,15))\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Status\n",
|
|
"aktiv 269283\n",
|
|
"gekuendigt 69321\n",
|
|
"Vertragsende 7441\n",
|
|
"verstorben 2710\n",
|
|
"Name: count, dtype: int64\n",
|
|
"Status\n",
|
|
"aktiv 0.772127\n",
|
|
"gekuendigt 0.198767\n",
|
|
"Vertragsende 0.021336\n",
|
|
"verstorben 0.007770\n",
|
|
"Name: proportion, dtype: float64\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Status der Verträge: aktiv, gekuendigt, verstorben, Vertragsende\n",
|
|
"print(data['Status'].value_counts())\n",
|
|
"\n",
|
|
"# relative Häufigkeiten\n",
|
|
"print(data['Status'].value_counts(normalize=True))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 23,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Beruf\n",
|
|
"angestellt 259880\n",
|
|
"selbstaendig 76240\n",
|
|
"arbeitslos 12635\n",
|
|
"Name: count, dtype: int64\n",
|
|
"Beruf\n",
|
|
"angestellt 0.745165\n",
|
|
"selbstaendig 0.218606\n",
|
|
"arbeitslos 0.036229\n",
|
|
"Name: proportion, dtype: float64\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# Beruf der Kunden: angestellte, arbeistlos, selbststaendig\n",
|
|
"print(data['Beruf'].value_counts())\n",
|
|
"\n",
|
|
"# relative Häufigkeiten\n",
|
|
"print(data['Beruf'].value_counts(normalize=True))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|
" vertical-align: middle;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe tbody tr th {\n",
|
|
" vertical-align: top;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>Vertragsnummer</th>\n",
|
|
" <th>Jahr</th>\n",
|
|
" <th>Vertragsalter</th>\n",
|
|
" <th>Status</th>\n",
|
|
" <th>Marktzins</th>\n",
|
|
" <th>Tarifzins</th>\n",
|
|
" <th>Guthaben</th>\n",
|
|
" <th>Sparbeitrag</th>\n",
|
|
" <th>Beruf</th>\n",
|
|
" <th>Alter</th>\n",
|
|
" <th>p</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>9999</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>1</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>8569.91</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>selbstaendig</td>\n",
|
|
" <td>41</td>\n",
|
|
" <td>2.314752e-01</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>28187</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>2</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>5.4</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>17885.40</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>selbstaendig</td>\n",
|
|
" <td>42</td>\n",
|
|
" <td>1.743701e-03</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>54466</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>3</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>3.1</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>28011.34</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>selbstaendig</td>\n",
|
|
" <td>43</td>\n",
|
|
" <td>4.539787e-05</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>88624</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>4</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>1.2</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>39018.23</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>arbeitslos</td>\n",
|
|
" <td>44</td>\n",
|
|
" <td>5.844521e-06</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>130582</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>5</td>\n",
|
|
" <td>5</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>0.5</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>50982.72</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>45</td>\n",
|
|
" <td>3.736298e-07</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>179800</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>6</td>\n",
|
|
" <td>6</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>1.3</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>63988.12</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>46</td>\n",
|
|
" <td>1.015630e-06</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>232632</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>7</td>\n",
|
|
" <td>7</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>3.3</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>78124.99</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>47</td>\n",
|
|
" <td>1.670142e-05</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>276777</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>8</td>\n",
|
|
" <td>8</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>4.5</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>93491.77</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>48</td>\n",
|
|
" <td>8.271722e-05</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>318077</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>9</td>\n",
|
|
" <td>9</td>\n",
|
|
" <td>aktiv</td>\n",
|
|
" <td>7.2</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>110195.46</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>49</td>\n",
|
|
" <td>3.872403e-03</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>348753</th>\n",
|
|
" <td>1</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>10</td>\n",
|
|
" <td>Vertragsende</td>\n",
|
|
" <td>5.3</td>\n",
|
|
" <td>8.7</td>\n",
|
|
" <td>128352.37</td>\n",
|
|
" <td>7884.0</td>\n",
|
|
" <td>angestellt</td>\n",
|
|
" <td>50</td>\n",
|
|
" <td>1.840719e-04</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" Vertragsnummer Jahr Vertragsalter Status Marktzins \\\n",
|
|
"9999 1 1 1 aktiv 8.7 \n",
|
|
"28187 1 2 2 aktiv 5.4 \n",
|
|
"54466 1 3 3 aktiv 3.1 \n",
|
|
"88624 1 4 4 aktiv 1.2 \n",
|
|
"130582 1 5 5 aktiv 0.5 \n",
|
|
"179800 1 6 6 aktiv 1.3 \n",
|
|
"232632 1 7 7 aktiv 3.3 \n",
|
|
"276777 1 8 8 aktiv 4.5 \n",
|
|
"318077 1 9 9 aktiv 7.2 \n",
|
|
"348753 1 10 10 Vertragsende 5.3 \n",
|
|
"\n",
|
|
" Tarifzins Guthaben Sparbeitrag Beruf Alter p \n",
|
|
"9999 8.7 8569.91 7884.0 selbstaendig 41 2.314752e-01 \n",
|
|
"28187 8.7 17885.40 7884.0 selbstaendig 42 1.743701e-03 \n",
|
|
"54466 8.7 28011.34 7884.0 selbstaendig 43 4.539787e-05 \n",
|
|
"88624 8.7 39018.23 7884.0 arbeitslos 44 5.844521e-06 \n",
|
|
"130582 8.7 50982.72 7884.0 angestellt 45 3.736298e-07 \n",
|
|
"179800 8.7 63988.12 7884.0 angestellt 46 1.015630e-06 \n",
|
|
"232632 8.7 78124.99 7884.0 angestellt 47 1.670142e-05 \n",
|
|
"276777 8.7 93491.77 7884.0 angestellt 48 8.271722e-05 \n",
|
|
"318077 8.7 110195.46 7884.0 angestellt 49 3.872403e-03 \n",
|
|
"348753 8.7 128352.37 7884.0 angestellt 50 1.840719e-04 "
|
|
]
|
|
},
|
|
"execution_count": 25,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Anzeigen eines Vertrags welches mehrfach vorkommt --> Vertragsverlauf\n",
|
|
"data[data['Vertragsnummer'] == 1].sort_values(by='Jahr')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Aufbereitung der Daten"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "hft_ml",
|
|
"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": "3.11.10"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|