Final Project-Priscilla Widjaja-EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# __Import Libraries__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# __Load Dataset__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>Unnamed: 0</th>\n",
       "      <th>age</th>\n",
       "      <th>job</th>\n",
       "      <th>marital</th>\n",
       "      <th>education</th>\n",
       "      <th>default</th>\n",
       "      <th>housing</th>\n",
       "      <th>loan</th>\n",
       "      <th>contact</th>\n",
       "      <th>month</th>\n",
       "      <th>...</th>\n",
       "      <th>campaign</th>\n",
       "      <th>pdays</th>\n",
       "      <th>previous</th>\n",
       "      <th>poutcome</th>\n",
       "      <th>emp.var.rate</th>\n",
       "      <th>cons.price.idx</th>\n",
       "      <th>cons.conf.idx</th>\n",
       "      <th>euribor3m</th>\n",
       "      <th>nr.employed</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>housemaid</td>\n",
       "      <td>married</td>\n",
       "      <td>basic.4y</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>telephone</td>\n",
       "      <td>may</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>999</td>\n",
       "      <td>0</td>\n",
       "      <td>nonexistent</td>\n",
       "      <td>1.1</td>\n",
       "      <td>93.994</td>\n",
       "      <td>-36.4</td>\n",
       "      <td>4.857</td>\n",
       "      <td>5191.0</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>37</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>high.school</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>telephone</td>\n",
       "      <td>may</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>999</td>\n",
       "      <td>0</td>\n",
       "      <td>nonexistent</td>\n",
       "      <td>1.1</td>\n",
       "      <td>93.994</td>\n",
       "      <td>-36.4</td>\n",
       "      <td>4.857</td>\n",
       "      <td>5191.0</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>40</td>\n",
       "      <td>admin.</td>\n",
       "      <td>married</td>\n",
       "      <td>basic.6y</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>telephone</td>\n",
       "      <td>may</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>999</td>\n",
       "      <td>0</td>\n",
       "      <td>nonexistent</td>\n",
       "      <td>1.1</td>\n",
       "      <td>93.994</td>\n",
       "      <td>-36.4</td>\n",
       "      <td>4.857</td>\n",
       "      <td>5191.0</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>56</td>\n",
       "      <td>services</td>\n",
       "      <td>married</td>\n",
       "      <td>high.school</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>telephone</td>\n",
       "      <td>may</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>999</td>\n",
       "      <td>0</td>\n",
       "      <td>nonexistent</td>\n",
       "      <td>1.1</td>\n",
       "      <td>93.994</td>\n",
       "      <td>-36.4</td>\n",
       "      <td>4.857</td>\n",
       "      <td>5191.0</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>59</td>\n",
       "      <td>admin.</td>\n",
       "      <td>married</td>\n",
       "      <td>professional.course</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>telephone</td>\n",
       "      <td>may</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>999</td>\n",
       "      <td>0</td>\n",
       "      <td>nonexistent</td>\n",
       "      <td>1.1</td>\n",
       "      <td>93.994</td>\n",
       "      <td>-36.4</td>\n",
       "      <td>4.857</td>\n",
       "      <td>5191.0</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30106</th>\n",
       "      <td>41181</td>\n",
       "      <td>37</td>\n",
       "      <td>admin.</td>\n",
       "      <td>married</td>\n",
       "      <td>university.degree</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>nov</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>999</td>\n",
       "      <td>0</td>\n",
       "      <td>nonexistent</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>94.767</td>\n",
       "      <td>-50.8</td>\n",
       "      <td>1.028</td>\n",
       "      <td>4963.6</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30107</th>\n",
       "      <td>41182</td>\n",
       "      <td>29</td>\n",
       "      <td>unemployed</td>\n",
       "      <td>single</td>\n",
       "      <td>basic.4y</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>nov</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>success</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>94.767</td>\n",
       "      <td>-50.8</td>\n",
       "      <td>1.028</td>\n",
       "      <td>4963.6</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30108</th>\n",
       "      <td>41184</td>\n",
       "      <td>46</td>\n",
       "      <td>blue-collar</td>\n",
       "      <td>married</td>\n",
       "      <td>professional.course</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>nov</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>999</td>\n",
       "      <td>0</td>\n",
       "      <td>nonexistent</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>94.767</td>\n",
       "      <td>-50.8</td>\n",
       "      <td>1.028</td>\n",
       "      <td>4963.6</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30109</th>\n",
       "      <td>41185</td>\n",
       "      <td>56</td>\n",
       "      <td>retired</td>\n",
       "      <td>married</td>\n",
       "      <td>university.degree</td>\n",
       "      <td>no</td>\n",
       "      <td>yes</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>nov</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>999</td>\n",
       "      <td>0</td>\n",
       "      <td>nonexistent</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>94.767</td>\n",
       "      <td>-50.8</td>\n",
       "      <td>1.028</td>\n",
       "      <td>4963.6</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30110</th>\n",
       "      <td>41186</td>\n",
       "      <td>44</td>\n",
       "      <td>technician</td>\n",
       "      <td>married</td>\n",
       "      <td>professional.course</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>no</td>\n",
       "      <td>cellular</td>\n",
       "      <td>nov</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>999</td>\n",
       "      <td>0</td>\n",
       "      <td>nonexistent</td>\n",
       "      <td>-1.1</td>\n",
       "      <td>94.767</td>\n",
       "      <td>-50.8</td>\n",
       "      <td>1.028</td>\n",
       "      <td>4963.6</td>\n",
       "      <td>yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30111 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0  age          job  marital            education default  \\\n",
       "0               0   56    housemaid  married             basic.4y      no   \n",
       "1               2   37     services  married          high.school      no   \n",
       "2               3   40       admin.  married             basic.6y      no   \n",
       "3               4   56     services  married          high.school      no   \n",
       "4               6   59       admin.  married  professional.course      no   \n",
       "...           ...  ...          ...      ...                  ...     ...   \n",
       "30106       41181   37       admin.  married    university.degree      no   \n",
       "30107       41182   29   unemployed   single             basic.4y      no   \n",
       "30108       41184   46  blue-collar  married  professional.course      no   \n",
       "30109       41185   56      retired  married    university.degree      no   \n",
       "30110       41186   44   technician  married  professional.course      no   \n",
       "\n",
       "      housing loan    contact month  ... campaign  pdays  previous  \\\n",
       "0          no   no  telephone   may  ...        1    999         0   \n",
       "1         yes   no  telephone   may  ...        1    999         0   \n",
       "2          no   no  telephone   may  ...        1    999         0   \n",
       "3          no  yes  telephone   may  ...        1    999         0   \n",
       "4          no   no  telephone   may  ...        1    999         0   \n",
       "...       ...  ...        ...   ...  ...      ...    ...       ...   \n",
       "30106     yes   no   cellular   nov  ...        1    999         0   \n",
       "30107     yes   no   cellular   nov  ...        1      9         1   \n",
       "30108      no   no   cellular   nov  ...        1    999         0   \n",
       "30109     yes   no   cellular   nov  ...        2    999         0   \n",
       "30110      no   no   cellular   nov  ...        1    999         0   \n",
       "\n",
       "          poutcome emp.var.rate  cons.price.idx  cons.conf.idx  euribor3m  \\\n",
       "0      nonexistent          1.1          93.994          -36.4      4.857   \n",
       "1      nonexistent          1.1          93.994          -36.4      4.857   \n",
       "2      nonexistent          1.1          93.994          -36.4      4.857   \n",
       "3      nonexistent          1.1          93.994          -36.4      4.857   \n",
       "4      nonexistent          1.1          93.994          -36.4      4.857   \n",
       "...            ...          ...             ...            ...        ...   \n",
       "30106  nonexistent         -1.1          94.767          -50.8      1.028   \n",
       "30107      success         -1.1          94.767          -50.8      1.028   \n",
       "30108  nonexistent         -1.1          94.767          -50.8      1.028   \n",
       "30109  nonexistent         -1.1          94.767          -50.8      1.028   \n",
       "30110  nonexistent         -1.1          94.767          -50.8      1.028   \n",
       "\n",
       "       nr.employed    y  \n",
       "0           5191.0   no  \n",
       "1           5191.0   no  \n",
       "2           5191.0   no  \n",
       "3           5191.0   no  \n",
       "4           5191.0   no  \n",
       "...            ...  ...  \n",
       "30106       4963.6  yes  \n",
       "30107       4963.6   no  \n",
       "30108       4963.6   no  \n",
       "30109       4963.6   no  \n",
       "30110       4963.6  yes  \n",
       "\n",
       "[30111 rows x 21 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bank = pd.read_csv('bank.csv')\n",
    "bank"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "bank = bank[['age','campaign','job','day_of_week', 'nr.employed','education','pdays','marital','poutcome','cons.conf.idx', 'y']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## __Split Target__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "bank1 = bank[bank['y'] == 'no']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "bank2 = bank[bank['y'] == 'yes']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## __PDays < 999__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "bank3 = bank[bank['pdays'] < 999]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "bank4 = bank3[bank3['y'] == 'no']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "bank5 = bank3[bank3['y'] == 'yes']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Exploratory Data Analysis**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVkAAAEUCAYAAACBNEVpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAVVklEQVR4nO3dcbCddX3n8feHIBWLStTAWogLq9muyNQAEbOirooDgZk22JUqupKqbDoKrWiHNbU7xaq0OqvW1aFY1IywKhQVFqyUGDGDdUYwEZAQEZNBlACFYABx6UDB7/5xfrccw8nNzSW/nJvwfs2cOc/5Pr/neX5PuHzu7/zOc56bqkKS1Mce4+6AJO3ODFlJ6siQlaSODFlJ6siQlaSODFlJ6siQVVdJnp3k+vb45yS3D73eq9MxD0+yaCvrXpvk/iTXJflxkquSHD+0/tQkb55k369JsnCS9a9LckZb/kKSE7aj33skWTb0elaSf5rq9pqZ9hx3B7R7q6qfA/MBkrwf+GVVfXSq2yeZVVWPbudhDwcOBa7YyvpVVXVC2//hwCVJTq6qq6rq7G3s+zXAPcDVI/q6Z1Vdsp19HbYHsAz4MEA771c8gf1pBnAkq7FJ8rUk30+yLskprbZnkvuSfCjJ94Ajk/xekpuT/FOSTyX5v63tPkk+n+R7bWT6u0n2Bv4CeHMbLb9+sj5U1bXAWcBpbZ8fSnJ6W353kh8m+UEblT4fOAU4o+37Za3+sSSrgL9KckqSTwwd4tjW7x8nOa7t99faJLkiycsZhOvT277Pn/i3aG32SPLxJDcmWTtxXm1kfmWSi9u/0flP+D+MdihHshqnJVW1OcnTgDVJvgo8ADwTuLaq/mdb92PgKOBnwEVD2/8FcEVV/WGS2cA1wO8AHwAOrarTp9iPa4E/HlH/H8C/r6qHk+xbVfcl+SxwT1V9AiDJO4HnA0dX1a8mflkMmQv8F2Ae8M0kL5ikH8uAU6pqYuQ//P/nicAhwIuBOcDqJN9u6w5v6+4Grk6ysKoeN9LWeDiS1Ti9O8kPgO8CBzIIK4CHgYm33YcAN1fVT2vwHfALhrY/BvjzJNcDq4CnAs+bRj+ylfo64AttjvZfJ9n+y1X1q62su6iqflVVNwO3MQjb6Xg58KWqerSq/hn4DrCgrbu6qu5s0wvXAwdN8xjqwJDVWCR5LfBKYGFVvRi4gUFIAvxLPXZTja0F4MS6E6pqfns8r6p+PI3uHAbcNKJ+LPBp4EgGI+1ZW9n+/02y7y1vDlLAI/z6/3tPZdsm+3d4aGj5UXyHOqMYshqXZwKbq+pfkrwIeMlW2q0DfjvJ3CQB3jC0bgXwJxMvkhzWFh8Anj6VTiSZD7wPOHuL+izgwKr6FnAGg7foT9uefTcnZuA/Mpg6WA/cChzW6gcBRwBU1SPt2KNC8tvAG9sVB/szmD5Zsx390Jj4G0/j8nVgaZsu+BGD+dTHqaoHk5wGfBPYBKwGntVW/yXwiSRrGQwYNgCLgW8x+HDqOuCsqvrKFrt9dVv3NOAu4J1VddUWbfYEvpTk6W3fH6mqB5JcCnw5ye8Dp07hPDcwCMj9gKVtfvcq4HZgLXAjg7f4Ez4H3JBkDfC2ofpXgIXADxiMht9TVXcPfu9oJou3OtRMl2SfqvplG8n+HbC2qj417n5JU+F0gXYF72gfbv0Q2Bv4zJj7I02ZI1lJ6siRrCR1ZMhKUkdPuqsLFi1aVFdcsbWvtEvStI281ONJN5K95557xt0FSU8iT7qQlaSdyZCVpI4MWUnqyJCVpI4MWUnqyJCVpI4MWUnqyJCVpI4MWUnq6En3tdrpWnboSePugqbpwzdesO1GUieOZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpo24hm2RuklVJbkqyLsm7Wv39SW5Pcn17HD+0zZ8l2ZDk5iTHDtUXtdqGJMuG6gcnuSbJ+iR/n2SvXucjSdPRcyT7CPCnVfVCYCFwapJD2rq/qar57XE5QFv3RuBFwCLgb5PMSjILOBs4DjgEOGloPx9p+5oH3Au8veP5SNJ26xayVXVnVV3blh8AbgIOmGSTxcCFVfVQVf0E2AAc2R4bquqWqnoYuBBYnCTAa4CvtO3PA07oczaSND07ZU42yUHAYcA1rXRakhuSLE8yu9UOAG4b2mxjq22t/mzgvqp6ZIv6qOMvTbImyZpNmzbtgDOSpKnpHrJJ9gG+CpxeVb8AzgGeD8wH7gQ+NtF0xOY1jfrji1XnVtWCqlowZ86c7TwDSZq+rjeISfIUBgH7xaq6GKCq7hpa/xngH9rLjcDcoc0PBO5oy6Pq9wD7JtmzjWaH20vSjNDz6oIAnwNuqqqPD9WfO9TsdcCNbfky4I1JfiPJwcA84HvAamBeu5JgLwYfjl1WVQWsAl7ftl8CXNrrfCRpOnqOZI8C3gKsTXJ9q72PwdUB8xm8tb8V+COAqlqX5CLghwyuTDi1qh4FSHIasAKYBSyvqnVtf+8FLkzyIeA6BqEuSTNGt5Ctqu8wet708km2OQs4a0T98lHbVdUtDK4+kKQZyW98SVJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkdWTISlJHhqwkddQtZJPMTbIqyU1J1iV5V6s/K8nKJOvb8+xWT5JPJtmQ5IYkhw/ta0lrvz7JkqH6EUnWtm0+mSS9zkeSpqPnSPYR4E+r6oXAQuDUJIcAy4Arq2oecGV7DXAcMK89lgLnwCCUgTOBlwJHAmdOBHNrs3Rou0Udz0eStlu3kK2qO6vq2rb8AHATcACwGDivNTsPOKEtLwbOr4GrgX2TPBc4FlhZVZur6l5gJbCorXtGVX23qgo4f2hfkjQj7JQ52SQHAYcB1wD7V9WdMAhiYL/W7ADgtqHNNrbaZPWNI+qjjr80yZokazZt2vRET0eSpqx7yCbZB/gqcHpV/WKypiNqNY3644tV51bVgqpaMGfOnG11WZJ2mK4hm+QpDAL2i1V1cSvf1d7q057vbvWNwNyhzQ8E7thG/cARdUmaMXpeXRDgc8BNVfXxoVWXARNXCCwBLh2qn9yuMlgI3N+mE1YAxySZ3T7wOgZY0dY9kGRhO9bJQ/uSpBlhz477Pgp4C7A2yfWt9j7gw8BFSd4O/Aw4sa27HDge2AA8CLwVoKo2J/kgsLq1+0BVbW7L7wA+D+wN/GN7SNKM0S1kq+o7jJ43BTh6RPsCTt3KvpYDy0fU1wCHPoFuSlJXfuNLkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NWkjoyZCWpoymFbJKjplLbYv3yJHcnuXGo9v4ktye5vj2OH1r3Z0k2JLk5ybFD9UWttiHJsqH6wUmuSbI+yd8n2Wsq5yJJO9NUR7KfmmJt2OeBRSPqf1NV89vjcoAkhwBvBF7UtvnbJLOSzALOBo4DDgFOam0BPtL2NQ+4F3j7FM9FknaaPSdbmeQ/Ay8D5iR5z9CqZwCzJtu2qr6d5KAp9mMxcGFVPQT8JMkG4Mi2bkNV3dL6cyGwOMlNwGuAN7U25wHvB86Z4vEkaafY1kh2L2AfBmH89KHHL4DXT/OYpyW5oU0nzG61A4DbhtpsbLWt1Z8N3FdVj2xRHynJ0iRrkqzZtGnTNLstSdtv0pFsVV0FXJXk81X10x1wvHOADwLVnj8GvA3IqMMz+pdATdJ+pKo6FzgXYMGCBVttJ0k72qQhO+Q3kpwLHDS8TVW9ZnsOVlV3TSwn+QzwD+3lRmDuUNMDgTva8qj6PcC+SfZso9nh9pI0Y0w1ZL8MfBr4LPDodA+W5LlVdWd7+Tpg4sqDy4AvJfk48FvAPOB7DEas85IcDNzO4MOxN1VVJVnFYMriQmAJcOl0+yVJvUw1ZB+pqu36UCnJBcCrgOck2QicCbwqyXwGb+1vBf4IoKrWJbkI+CHwCHBqVT3a9nMasILBB23Lq2pdO8R7gQuTfAi4Dvjc9vRPknaGqYbs15K8E7gEeGiiWFWbt7ZBVZ00orzVIKyqs4CzRtQvBy4fUb+Fx65AkKQZaaohu6Q9nzFUK+A/7NjuSNLuZUohW1UH9+6IJO2OphSySU4eVa+q83dsdyRp9zLV6YKXDC0/FTgauBYwZCVpElOdLvjj4ddJngn8ny49kqTdyHRvdfggg2tZJUmTmOqc7Nd47Gurs4AXAhf16pQk7S6mOif70aHlR4CfVtXGDv2RpN3KlKYL2o1ifsTgDlyzgYd7dkqSdhdT/csIf8DgXgInAn8AXJNkurc6lKQnjalOF/w58JKquhsgyRzgm8BXenVMknYHU726YI+JgG1+vh3bStKT1lRHslckWQFc0F6/gRE3bZEk/bpt/Y2vFwD7V9UZSX4feDmDe7x+F/jiTuifJO3StvWW/xPAAwBVdXFVvaeq3s1gFPuJ3p2TpF3dtkL2oKq6YctiVa1h8KdoJEmT2FbIPnWSdXvvyI5I0u5oWyG7Osl/37KY5O3A9/t0SZJ2H9u6uuB04JIkb+axUF0A7MXgDyFKkiYxaci2P+H9siSvBg5t5a9X1be690ySdgNTvZ/sKmBV575I0m7Hb21JUkeGrCR1ZMhKUkeGrCR1ZMhKUkeGrCR1ZMhKUkeGrCR1ZMhKUkfdQjbJ8iR3J7lxqPasJCuTrG/Ps1s9ST6ZZEOSG5IcPrTNktZ+fZIlQ/Ujkqxt23wySXqdiyRNV8+R7OeBRVvUlgFXVtU84Mr2GuA4YF57LAXOgUEoA2cCLwWOBM6cCObWZunQdlseS5LGrlvIVtW3gc1blBcD57Xl84AThurn18DVwL5JngscC6ysqs1VdS+wEljU1j2jqr5bVQWcP7QvSZoxdvac7P5VdSdAe96v1Q8Abhtqt7HVJqtvHFEfKcnSJGuSrNm0adMTPglJmqqZ8sHXqPnUmkZ9pKo6t6oWVNWCOXPmTLOLkrT9dnbI3tXe6tOe7271jcDcoXYHAndso37giLokzSg7O2QvAyauEFgCXDpUP7ldZbAQuL9NJ6wAjkkyu33gdQywoq17IMnCdlXByUP7kqQZY0o37Z6OJBcArwKek2Qjg6sEPgxc1P5G2M+AE1vzy4HjgQ3Ag8BbAapqc5IPAqtbuw9U1cSHae9gcAXD3sA/tockzSjdQraqTtrKqqNHtC3g1K3sZzmwfER9DY/9SRxJmpFmygdfkrRbMmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqSNDVpI6MmQlqaOxhGySW5OsTXJ9kjWt9qwkK5Osb8+zWz1JPplkQ5Ibkhw+tJ8lrf36JEvGcS6SNJlxjmRfXVXzq2pBe70MuLKq5gFXttcAxwHz2mMpcA4MQhk4E3gpcCRw5kQwS9JMMZOmCxYD57Xl84AThurn18DVwL5JngscC6ysqs1VdS+wEli0szstSZMZV8gW8I0k30+ytNX2r6o7Adrzfq1+AHDb0LYbW21rdUmaMfYc03GPqqo7kuwHrEzyo0naZkStJqk/fgeDIF8K8LznPW97+ypJ0zaWkWxV3dGe7wYuYTCnelebBqA9392abwTmDm1+IHDHJPVRxzu3qhZU1YI5c+bsyFORpEnt9JBN8ptJnj6xDBwD3AhcBkxcIbAEuLQtXwac3K4yWAjc36YTVgDHJJndPvA6ptUkacYYx3TB/sAlSSaO/6WquiLJauCiJG8Hfgac2NpfDhwPbAAeBN4KUFWbk3wQWN3afaCqNu+805CkbdvpIVtVtwAvHlH/OXD0iHoBp25lX8uB5Tu6j5K0o8ykS7gkabdjyEpSR4asJHVkyEpSR4asJHU0rm98SbutDe9607i7oCfgBf/7Szt0f45kJakjQ1aSOjJkJakjQ1aSOjJkJakjQ1aSOjJkJakjQ1aSOjJkJakjQ1aSOjJkJakjQ1aSOjJkJakjQ1aSOjJkJakjQ1aSOjJkJakjQ1aSOjJkJakjQ1aSOjJkJakjQ1aSOjJkJakjQ1aSOjJkJamjXT5kkyxKcnOSDUmWjbs/kjRslw7ZJLOAs4HjgEOAk5IcMt5eSdJjdumQBY4ENlTVLVX1MHAhsHjMfZKkf5OqGncfpi3J64FFVXVKe/0W4KVVddoW7ZYCS9vL3wZu3qkdnfmeA9wz7k5ol+HPy2j3VNWiLYt7jqMnO1BG1B73W6OqzgXO7d+dXVOSNVW1YNz90K7Bn5fts6tPF2wE5g69PhC4Y0x9kaTH2dVDdjUwL8nBSfYC3ghcNuY+SdK/2aWnC6rqkSSnASuAWcDyqlo35m7tipxK0fbw52U77NIffEnSTLerTxdI0oxmyEpSR4asJHVkyEpSR4bsk0ySg5LclOQzSdYl+UaSvZPMT3J1khuSXJJk9rj7qvFI8sEk7xp6fVaSP0lyRpLV7WfkL9u630zy9SQ/SHJjkjeMr+czkyH75DQPOLuqXgTcB/xX4HzgvVX1O8Ba4Mwx9k/j9TlgCUCSPRhcf34Xg5+bI4H5wBFJXgksAu6oqhdX1aHAFePp8sxlyD45/aSqrm/L3weeD+xbVVe12nnAK8fSM41dVd0K/DzJYcAxwHXAS4aWrwX+E4PQXQu8NslHkryiqu4fT69nrl36ywiatoeGlh8F9h1XRzRjfRb4Q+DfAcuBo4G/rqq/27JhkiOA44G/TvKNqvrAzuzoTOdIVgD3A/cmeUV7/Rbgqknaa/d3CYOpgJcw+EblCuBtSfYBSHJAkv2S/BbwYFV9AfgocPi4OjxTOZLVhCXAp5M8DbgFeOuY+6MxqqqHk6wC7quqR4FvJHkh8N0kAL8E/hvwAuB/JfkV8K/AO8bV55nKr9VKepz2gde1wIlVtX7c/dmVOV0g6de0P+G0AbjSgH3iHMlKUkeOZCWpI0NWkjoyZCWpI0NWkjoyZCWpI0NW2sLW7kI1zj5p1+UlXNIWkhwEXFxVh7eL8tcDR1bVz8faMe2S/FqttIWqujXJxF2o9geuM2A1XYasNNqWd6GSpsXpAmmEJHsxuFfqU4B57SYp0nZzJCuNMOIuVNK0GLLSCO0Dr4XAiePui3ZtXsIlbcG7UGlHck5WkjpyJCtJHRmyktSRIStJHRmyktSRIStJHf1/lyP53qJNqDMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(5, 4)\n",
    "sns.countplot(x = 'y', data = bank, palette='rocket')\n",
    "ax.set_xlabel('y', fontsize=10)\n",
    "ax.set_ylabel('Count', fontsize=10)\n",
    "ax.set_title('Target Distribution', fontsize=10)\n",
    "sns.despine()\n",
    "plt.savefig('Target Distribution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Target tidak seimbang. Jumlah bank clients yang tidak subscribe jauh lebih banyak dari yang subscribe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figures\n",
    "fig, (ax1, ax2) = plt.subplots(nrows = 2, ncols = 1, figsize = (15,25))\n",
    "fig.set_size_inches(15, 10)\n",
    "fig.tight_layout(pad=5.0)\n",
    "\n",
    "# Table 1\n",
    "sns.countplot(x = 'age', data = bank2, ax = ax1, palette = 'rocket_r')\n",
    "ax1.set_xlabel('Age', fontsize=10)\n",
    "ax1.set_ylabel('Count', fontsize=10)\n",
    "ax1.set_title('Age Count Distribution (Subscribe)', fontsize=10)\n",
    "\n",
    "# Table 2\n",
    "sns.countplot(x = 'age', data = bank1, ax = ax2, palette = 'rocket')\n",
    "ax2.set_xlabel('Age', fontsize=10)\n",
    "ax2.set_ylabel('Count', fontsize=10)\n",
    "ax2.set_title('Age Count Distribution (Not Subscribe)', fontsize=10)\n",
    "\n",
    "sns.despine()\n",
    "\n",
    "plt.savefig('Age Count Distribution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Jumlah bank clients terbanyak di usia 31.\n",
    "2. Bank clients yang subscribe mayoritas berasal dari kisaran usia 26-38.\n",
    "3. Rekomendasi : Membuat strategi marketing dan menyesuaikan benefit yang ditawarkan produk untuk menarik bank clients yang di atas 38 tahun."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figures\n",
    "fig, (ax1, ax2) = plt.subplots(nrows = 2, ncols = 1, figsize = (10,15))\n",
    "fig.set_size_inches(10, 5)\n",
    "fig.tight_layout(pad=3.0)\n",
    "\n",
    "# Table 1\n",
    "sns.countplot(x = 'campaign', data = bank2, ax = ax1, palette = 'Spectral')\n",
    "ax1.set_xlabel('Campaign', fontsize=10)\n",
    "ax1.set_ylabel('Count', fontsize=10)\n",
    "ax1.set_title('Campaign Count Distribution (Subscribe)', fontsize=10)\n",
    "\n",
    "# Table 2\n",
    "sns.countplot(x = 'campaign', data = bank1, ax = ax2, palette = 'Spectral')\n",
    "ax2.set_xlabel('Campaign', fontsize=10)\n",
    "ax2.set_ylabel('Count', fontsize=10)\n",
    "ax2.set_title('Campaign Count Distribution (Not Subscribe)', fontsize=10)\n",
    "\n",
    "sns.despine()\n",
    "\n",
    "plt.savefig('Campaign Count Distribution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Bank clients yang subscribe paling banyak dihubungi sejumlah dua puluh tiga kali.\n",
    "2. Bank clients yang tidak subscribe paling banyak dihubungi sejumlah empat puluh tiga kali."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figures\n",
    "fig, (ax1, ax2) = plt.subplots(nrows = 1, ncols = 2, figsize = (40,6))\n",
    "fig.set_size_inches(15,6)\n",
    "fig.tight_layout(pad=10.0)\n",
    "\n",
    "# Table 1\n",
    "sns.countplot(y = 'job', data = bank2, ax= ax1, palette = 'rocket', order = bank2['job'].value_counts().index)\n",
    "ax1.set_ylabel('Job', fontsize=10)\n",
    "ax1.set_xlabel('Count', fontsize=10)\n",
    "ax1.set_title('Job Count Distribution (Subscribe)', fontsize=10)\n",
    "\n",
    "# Table 2\n",
    "sns.countplot(y = 'job', data = bank, ax = ax2, palette = 'rocket', order = bank['job'].value_counts().index)\n",
    "ax2.set_ylabel('Job', fontsize=10)\n",
    "ax2.set_xlabel('Count', fontsize=10)\n",
    "ax2.set_title('Job Count Distribution (All)', fontsize=10)\n",
    "\n",
    "sns.despine()\n",
    "\n",
    "plt.savefig('Job Count Distribution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Bank clients paling banyak memiliki pekerjaan di bidang admin dan paling sedikit pelajar.\n",
    "2. Bank clients yang susbcribe paling sedikit yang bekerja sebagai housemaid.\n",
    "3. Rekomendasi : Melakukan inovasi pada produk menyesuaikan dengan kebutuhan konsumen sehingga dapat menarik bank clients dari tipe pekerjaan yang self-employed, unemployed, entrepreneur dan housemaid."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figures\n",
    "fig, (ax1, ax2) = plt.subplots(nrows = 1, ncols = 2, figsize = (40,6))\n",
    "fig.set_size_inches(15,5)\n",
    "fig.tight_layout(pad=10.0)\n",
    "\n",
    "# Table 1\n",
    "sns.countplot(y = 'day_of_week', data = bank2, ax = ax1, palette = 'rocket')\n",
    "ax1.set_ylabel('Day of Week', fontsize=10)\n",
    "ax1.set_xlabel('Count', fontsize=10)\n",
    "ax1.set_title('Day of Week Distribution (Subscribe)', fontsize=10)\n",
    "\n",
    "# Table 2\n",
    "sns.countplot(y = 'day_of_week', data = bank1, ax = ax2, palette = 'rocket')\n",
    "ax2.set_ylabel('Day of Week', fontsize=10)\n",
    "ax2.set_xlabel('Count', fontsize=10)\n",
    "ax2.set_title('Day of Week Distribution (Not Subscribe)', fontsize=10)\n",
    "\n",
    "sns.despine()\n",
    "\n",
    "plt.savefig('Day of Week Count Distribution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Bank clients paling sedikit dihubungi di hari Jumat.\n",
    "2. Bank clients yang subscribe paling banyak dihubungi di hari Kamis.\n",
    "3. Bank clients tidak susbcribe paling banyak dihubungi di hari Senin.\n",
    "4. Bank clients yang subscribe memiliki kenaikan jumlah dari hari Senin hingga Kamis namun turun di Jumat.\n",
    "5. Bank clients yang tidak subscribe memiliki penurunan jumlah dari hari Senin ke Selasa dan Kamis ke Jumat."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figures\n",
    "fig, (ax1, ax2) = plt.subplots(nrows = 1, ncols = 2, figsize = (40,6))\n",
    "fig.set_size_inches(15, 5)\n",
    "fig.tight_layout(pad=10.0)\n",
    "\n",
    "# Table 1\n",
    "sns.countplot(y = 'education', data = bank2, ax = ax1, palette = 'rocket',  order = bank2['education'].value_counts().index)\n",
    "ax1.set_xlabel('Education', fontsize=10)\n",
    "ax1.set_ylabel('Count', fontsize=10)\n",
    "ax1.set_title('Education Count Distribution (Subscribe)', fontsize=10)\n",
    "ax1.tick_params(axis='y')\n",
    "\n",
    "# Table 2\n",
    "sns.countplot(y = 'education', data = bank1, ax = ax2, palette = 'rocket', order = bank1['education'].value_counts().index)\n",
    "ax2.set_xlabel('Education', fontsize=10)\n",
    "ax2.set_ylabel('Count', fontsize=10)\n",
    "ax2.set_title('Education Count Distribution (Not Subscribe)', fontsize=10)\n",
    "ax2.tick_params(axis='y')\n",
    "\n",
    "sns.despine()\n",
    "\n",
    "plt.savefig('Education Count Distribution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Bank clients paling banyak merupakan lulusan universitas.\n",
    "2. Bank clients paling sedikit merupakan illiterate.\n",
    "3. Bank clients yang subscribe lebih banyak yang lulusan professional course dibanding lulusan basic.9y."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(4, 4)\n",
    "sns.countplot(x = 'marital', hue = 'y', data = bank, palette = 'rocket_r')\n",
    "ax.set_xlabel('Marital', fontsize=10)\n",
    "ax.set_ylabel('Count', fontsize=10)\n",
    "ax.set_title('Marital Count Distribution', fontsize=10)\n",
    "sns.despine()\n",
    "plt.savefig('Marital Count Distribution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Bank clients paling banyak yang statusnya married.\n",
    "2. Bank clients paling sedikit yang statusnya divorced."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x324 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figures\n",
    "fig, (ax1, ax2) = plt.subplots(nrows = 1, ncols = 2, figsize = (35,4.5))\n",
    "fig.set_size_inches(15, 4.5)\n",
    "fig.tight_layout(pad=5.0)\n",
    "\n",
    "# Table 1\n",
    "sns.countplot(x = 'nr.employed', data = bank2, ax = ax1, palette = 'rocket')\n",
    "ax1.set_xlabel('Number of Employee', fontsize=10)\n",
    "ax1.set_ylabel('Count', fontsize=10)\n",
    "ax1.set_title('Number of Employee Count Distribution (Subscribe)', fontsize=10)\n",
    "\n",
    "# Table 2\n",
    "sns.countplot(x = 'nr.employed', data = bank1, ax = ax2, palette = 'rocket')\n",
    "ax2.set_xlabel('Number of Employee', fontsize=10)\n",
    "ax2.set_ylabel('Count', fontsize=10)\n",
    "ax2.set_title('Number of Employee Count Distribution (Not Subscribe)', fontsize=10)\n",
    "\n",
    "sns.despine()\n",
    "\n",
    "plt.savefig('Number of Employee Count Distribution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Bank clients paling sedikit ketika jumlah employee 5176.\n",
    "2. Bank clients yang subscribe paling banyak ketika jumlah employee 5099.\n",
    "3. Bank clients yang tidak subscribe paling banyak ketika jumlah employee 5228. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figures\n",
    "fig, (ax1, ax2) = plt.subplots(nrows = 1, ncols = 2, figsize = (39,4))\n",
    "fig.set_size_inches(17, 4)\n",
    "fig.tight_layout(pad=5.0)\n",
    "\n",
    "# Table 1\n",
    "sns.countplot(x = 'pdays', data = bank5, ax = ax1, palette = 'rocket')\n",
    "ax1.set_xlabel('PDays', fontsize=10)\n",
    "ax1.set_ylabel('Count', fontsize=10)\n",
    "ax1.set_title('PDays Count Distribution (Subscribe)', fontsize=10)\n",
    "\n",
    "# Table 2\n",
    "sns.countplot(x = 'pdays', data = bank4, ax = ax2, palette = 'rocket')\n",
    "ax2.set_xlabel('PDays', fontsize=10)\n",
    "ax2.set_ylabel('Count', fontsize=10)\n",
    "ax2.set_title('PDays Count Distribution (Not Subscribe)', fontsize=10)\n",
    "\n",
    "sns.despine()\n",
    "\n",
    "plt.savefig('PDays Count Distribution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Bank clients yang paling banyak yang terakhir dihubungi 3 hari sebelumnya.\n",
    "2. Bank clients yang subscribe terakhir dihubungi paling lama 27 hari sebelumnya.\n",
    "3. Bank clients yang tidak subscribe terakhir dihubungi paling lama 22 hari sebelumnya."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figures\n",
    "fig, (ax1, ax2) = plt.subplots(nrows = 1, ncols = 2, figsize = (8,13))\n",
    "fig.set_size_inches(8, 4)\n",
    "fig.tight_layout(pad=5.0)\n",
    "\n",
    "# Table 1\n",
    "sns.countplot(x = 'poutcome', data = bank2, ax = ax1, palette = 'rocket')\n",
    "ax1.set_xlabel('POutcome', fontsize=10)\n",
    "ax1.set_ylabel('Count', fontsize=10)\n",
    "ax1.set_title('POutcome Count Distribution (Subscribe)', fontsize=10)\n",
    "\n",
    "# Table 2\n",
    "sns.countplot(x = 'poutcome', data = bank1, ax = ax2, palette = 'rocket')\n",
    "ax2.set_xlabel('POutcome', fontsize=10)\n",
    "ax2.set_ylabel('Count', fontsize=10)\n",
    "ax2.set_title('POutcome Count Distribution (Not Subscribe)', fontsize=10)\n",
    "\n",
    "sns.despine()\n",
    "\n",
    "plt.savefig('POutcome Count Distribution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Bank clients yang subscribe lebih banyak yang di campaign sebelumnya berhasil daripada yang gagal.\n",
    "2. Bank clients yang tidak subscribe lebih banyak yang di campaign sebelumnya gagal."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Figures\n",
    "fig, (ax1, ax2) = plt.subplots(nrows = 2, ncols = 1, figsize = (12,21))\n",
    "fig.set_size_inches(12, 8)\n",
    "fig.tight_layout(pad=5.0)\n",
    "\n",
    "# Table 1\n",
    "sns.countplot(x = 'cons.conf.idx', data = bank2, ax = ax1, palette = 'rocket')\n",
    "ax1.set_xlabel('Consumer Confidence Index', fontsize=10)\n",
    "ax1.set_ylabel('Count', fontsize=10)\n",
    "ax1.set_title('Consumer Confidence Index Count Distribution (Subscribe)', fontsize=10)\n",
    "\n",
    "# Table 2\n",
    "sns.countplot(x = 'cons.conf.idx', data = bank1, ax = ax2, palette = 'rocket')\n",
    "ax2.set_xlabel('Consumer Confidence Index', fontsize=10)\n",
    "ax2.set_ylabel('Count', fontsize=10)\n",
    "ax2.set_title('Consumer Confidence Index Count Distribution (Not Subscribe)', fontsize=10)\n",
    "\n",
    "sns.despine()\n",
    "\n",
    "plt.savefig('Consumer Confidence Index Count Distribution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Bank clients paling sedikit saat Consumer Confidence Indexnya -45.9.\n",
    "2. Bank clients yang subscribe paling banyak saat Consumer Confidence Indexnya -46.2.\n",
    "3. Bank clients yang tidak subscribe paling banyak saat Consumer Confidence Indexnya -36.4."
   ]
  }
 ],
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