Target_Marketing_Kripik.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Identitas\n",
    "##### Nama : Barhan Akmal Falahudin\n",
    "##### NRP  : 5025201008\n",
    "##### Asal : Institut Teknologi Sepuluh Nopember\n",
    "### Tanggal Pengerjaan\n",
    "##### 15 November 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cap waktu</th>\n",
       "      <th>Berapakah umur anda?</th>\n",
       "      <th>Apakah jenis kelamin anda?</th>\n",
       "      <th>Pendidikan anda saat ini?</th>\n",
       "      <th>Apakah anda suka dengan makanan ringan atau snack(misal: kripik kentang, kripik ikan) ?</th>\n",
       "      <th>Menurut anda, seberapa pentingkah gizi yang dikandung dalam makanan ringan?</th>\n",
       "      <th>Seberapa suka anda mencoba makanan baru?</th>\n",
       "      <th>Seberapa seringkah anda mengakses marketplace (Tokopedia, Shopee, Bukalapak, dll.) dalam sehari?</th>\n",
       "      <th>Anda lebih memilih yang mana untuk membeli makanan ringan atau snack?</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020/11/14 7:40:40 AM GMT+7</td>\n",
       "      <td>14 - 18 tahun</td>\n",
       "      <td>Perempuan</td>\n",
       "      <td>SMA</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Konvensional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020/11/14 7:43:12 AM GMT+7</td>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>Perempuan</td>\n",
       "      <td>S1/D4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Konvensional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020/11/14 7:46:49 AM GMT+7</td>\n",
       "      <td>&gt;35 tahun</td>\n",
       "      <td>Laki - laki</td>\n",
       "      <td>Telah lulus/bekerja</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Online</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020/11/14 7:51:33 AM GMT+7</td>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>Laki - laki</td>\n",
       "      <td>S1/D4</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Konvensional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020/11/14 8:03:30 AM GMT+7</td>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>Perempuan</td>\n",
       "      <td>S1/D4</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Online</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020/11/14 8:07:07 AM GMT+7</td>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>Laki - laki</td>\n",
       "      <td>D3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>lebih dari 5 kali</td>\n",
       "      <td>Toko Konvensional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2020/11/14 8:07:25 AM GMT+7</td>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>Perempuan</td>\n",
       "      <td>S1/D4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Konvensional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020/11/14 8:09:12 AM GMT+7</td>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>Perempuan</td>\n",
       "      <td>S1/D4</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3 kali</td>\n",
       "      <td>Toko Konvensional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020/11/14 8:10:21 AM GMT+7</td>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>Perempuan</td>\n",
       "      <td>S1/D4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Konvensional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020/11/14 8:11:06 AM GMT+7</td>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>Perempuan</td>\n",
       "      <td>S1/D4</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3 kali</td>\n",
       "      <td>Toko Konvensional</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Cap waktu Berapakah umur anda?  \\\n",
       "0  2020/11/14 7:40:40 AM GMT+7        14 - 18 tahun   \n",
       "1  2020/11/14 7:43:12 AM GMT+7        19 - 25 tahun   \n",
       "2  2020/11/14 7:46:49 AM GMT+7            >35 tahun   \n",
       "3  2020/11/14 7:51:33 AM GMT+7        19 - 25 tahun   \n",
       "4  2020/11/14 8:03:30 AM GMT+7        19 - 25 tahun   \n",
       "5  2020/11/14 8:07:07 AM GMT+7        19 - 25 tahun   \n",
       "6  2020/11/14 8:07:25 AM GMT+7        19 - 25 tahun   \n",
       "7  2020/11/14 8:09:12 AM GMT+7        19 - 25 tahun   \n",
       "8  2020/11/14 8:10:21 AM GMT+7        19 - 25 tahun   \n",
       "9  2020/11/14 8:11:06 AM GMT+7        19 - 25 tahun   \n",
       "\n",
       "  Apakah jenis kelamin anda? Pendidikan anda saat ini?  \\\n",
       "0                  Perempuan                       SMA   \n",
       "1                  Perempuan                     S1/D4   \n",
       "2                Laki - laki       Telah lulus/bekerja   \n",
       "3                Laki - laki                     S1/D4   \n",
       "4                  Perempuan                     S1/D4   \n",
       "5                Laki - laki                        D3   \n",
       "6                  Perempuan                     S1/D4   \n",
       "7                  Perempuan                     S1/D4   \n",
       "8                  Perempuan                     S1/D4   \n",
       "9                  Perempuan                     S1/D4   \n",
       "\n",
       "   Apakah anda suka dengan makanan ringan atau snack(misal: kripik kentang, kripik ikan) ?  \\\n",
       "0                                                  5                                         \n",
       "1                                                  4                                         \n",
       "2                                                  4                                         \n",
       "3                                                  5                                         \n",
       "4                                                  5                                         \n",
       "5                                                  3                                         \n",
       "6                                                  5                                         \n",
       "7                                                  5                                         \n",
       "8                                                  4                                         \n",
       "9                                                  5                                         \n",
       "\n",
       "   Menurut anda, seberapa pentingkah gizi yang dikandung dalam makanan ringan?  \\\n",
       "0                                                  3                             \n",
       "1                                                  2                             \n",
       "2                                                  3                             \n",
       "3                                                  3                             \n",
       "4                                                  4                             \n",
       "5                                                  4                             \n",
       "6                                                  5                             \n",
       "7                                                  3                             \n",
       "8                                                  5                             \n",
       "9                                                  3                             \n",
       "\n",
       "   Seberapa suka anda mencoba makanan baru?  \\\n",
       "0                                         5   \n",
       "1                                         3   \n",
       "2                                         4   \n",
       "3                                         5   \n",
       "4                                         5   \n",
       "5                                         5   \n",
       "6                                         3   \n",
       "7                                         4   \n",
       "8                                         1   \n",
       "9                                         4   \n",
       "\n",
       "  Seberapa seringkah anda mengakses marketplace (Tokopedia, Shopee, Bukalapak, dll.) dalam sehari?  \\\n",
       "0                                             1 kali                                                 \n",
       "1                                             1 kali                                                 \n",
       "2                                             1 kali                                                 \n",
       "3                                             1 kali                                                 \n",
       "4                                             1 kali                                                 \n",
       "5                                  lebih dari 5 kali                                                 \n",
       "6                                             1 kali                                                 \n",
       "7                                             3 kali                                                 \n",
       "8                                             1 kali                                                 \n",
       "9                                             3 kali                                                 \n",
       "\n",
       "  Anda lebih memilih yang mana untuk membeli makanan ringan atau snack?  \n",
       "0                                  Toko Konvensional                     \n",
       "1                                  Toko Konvensional                     \n",
       "2                                        Toko Online                     \n",
       "3                                  Toko Konvensional                     \n",
       "4                                        Toko Online                     \n",
       "5                                  Toko Konvensional                     \n",
       "6                                  Toko Konvensional                     \n",
       "7                                  Toko Konvensional                     \n",
       "8                                  Toko Konvensional                     \n",
       "9                                  Toko Konvensional                     "
      ]
     },
     "execution_count": 389,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_frame = pd.read_csv(\"Survei_Makanan_Ringan.csv\")\n",
    "data_frame.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>umur</th>\n",
       "      <th>gender</th>\n",
       "      <th>suka_kripik</th>\n",
       "      <th>gizi</th>\n",
       "      <th>suka_baru</th>\n",
       "      <th>banyak_akses</th>\n",
       "      <th>toko</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>14 - 18 tahun</td>\n",
       "      <td>Perempuan</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Konvensional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>Perempuan</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Konvensional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&gt;35 tahun</td>\n",
       "      <td>Laki - laki</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Online</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>Laki - laki</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Konvensional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>Perempuan</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1 kali</td>\n",
       "      <td>Toko Online</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            umur       gender  suka_kripik  gizi  suka_baru banyak_akses  \\\n",
       "0  14 - 18 tahun    Perempuan            5     3          5       1 kali   \n",
       "1  19 - 25 tahun    Perempuan            4     2          3       1 kali   \n",
       "2      >35 tahun  Laki - laki            4     3          4       1 kali   \n",
       "3  19 - 25 tahun  Laki - laki            5     3          5       1 kali   \n",
       "4  19 - 25 tahun    Perempuan            5     4          5       1 kali   \n",
       "\n",
       "                toko  \n",
       "0  Toko Konvensional  \n",
       "1  Toko Konvensional  \n",
       "2        Toko Online  \n",
       "3  Toko Konvensional  \n",
       "4        Toko Online  "
      ]
     },
     "execution_count": 390,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_frame = data_frame.iloc[:, [1, 2, 4, 5, 6, 7, 8]]\n",
    "data_frame.columns = [\"umur\", \"gender\", \"suka_kripik\", \"gizi\", \"suka_baru\", \"banyak_akses\", \"toko\"]\n",
    "data_frame.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_frame['gender'] = data_frame['gender'].apply(lambda nama:0 if (nama=='Laki - laki') else 1) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 392,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_frame['toko'] = data_frame['toko'].apply(lambda toko: 0 if(toko=='Toko Online') else 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "metadata": {},
   "outputs": [],
   "source": [
    "def clean_banyak_akses(a):\n",
    "    if a[0]=='1':\n",
    "        return '1';\n",
    "    elif a[0] == '3':\n",
    "        return '3';\n",
    "    elif a[0] == '5':\n",
    "        return '5';\n",
    "    elif a == 'Tidak pernah':\n",
    "        return '0';\n",
    "    elif a == 'lebih dari 5 kali':\n",
    "        return '>5'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_frame['banyak_akses'] = data_frame['banyak_akses'].apply(lambda x: clean_banyak_akses(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>umur</th>\n",
       "      <th>gender</th>\n",
       "      <th>suka_kripik</th>\n",
       "      <th>gizi</th>\n",
       "      <th>suka_baru</th>\n",
       "      <th>banyak_akses</th>\n",
       "      <th>toko</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>14 - 18 tahun</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>&gt;35 tahun</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19 - 25 tahun</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            umur  gender  suka_kripik  gizi  suka_baru banyak_akses  toko\n",
       "0  14 - 18 tahun       1            5     3          5            1     1\n",
       "1  19 - 25 tahun       1            4     2          3            1     1\n",
       "2      >35 tahun       0            4     3          4            1     0\n",
       "3  19 - 25 tahun       0            5     3          5            1     1\n",
       "4  19 - 25 tahun       1            5     4          5            1     0"
      ]
     },
     "execution_count": 395,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_frame['suka_kripik'] = pd.to_numeric(data_frame['suka_kripik'])\n",
    "data_frame['gizi'] = pd.to_numeric(data_frame['gizi'])\n",
    "data_frame['suka_baru'] = pd.to_numeric(data_frame['suka_baru'])\n",
    "data_frame.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 396,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_sum_umur = data_frame.groupby('umur').sum()\n",
    "data_sum_gender = data_frame.groupby('gender').sum()\n",
    "data_mean = data_frame.mean();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 397,
   "metadata": {},
   "outputs": [],
   "source": [
    "umurs = data_frame['umur'].unique()\n",
    "genders = data_frame['gender'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 398,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['14 - 18 tahun' '19 - 25 tahun' '25 - 35 tahun' '>35 tahun']\n"
     ]
    }
   ],
   "source": [
    "umurs[2], umurs[3] = umurs[3], umurs[2]\n",
    "print(umurs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 399,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14 - 18 tahun    44\n",
      "19 - 25 tahun    31\n",
      "25 - 35 tahun     4\n",
      ">35 tahun         2\n",
      "Name: umur, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "banyak_umur = data_frame['umur'].value_counts()\n",
    "print(banyak_umur)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 400,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(umurs, banyak_umur)\n",
    "\n",
    "plt.xlabel('umur')\n",
    "plt.ylabel('jumlah')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Dapat dilihat bahwa mayoritas reponden berusia 14 sampai dengan 18 tahun"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 401,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(umurs, data_sum_umur['gizi'])\n",
    "\n",
    "plt.ylabel('kepedulian terhadap gizi dalam makanan ringan')\n",
    "plt.xlabel('rentang umur')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 402,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6iUiSNJgZk0JVbQ2Q5G3ATTSL4AV4CeBeB5I0hrr0KRxVVf9YVaur6raqei9NP4Mkacx0SQq3J3lJks2TbJbkJTj6SJLGUpek8CfAC4Cb29fz2zJJ0pjpMvroOmwukqRNQtftOI+j2X1t6oJ4x/YYlyRpAF2ajz4IPAw4lGZBvF2B1X0GJUkaRpek8KiqOgW4vaqWAkfQbJkpSRoznRbEa99vTbI3sC2wY38hSZKG0mVBvCVJHgqcApwHbAW8udeoJEmD6DL66Kz28CLgEf2GI0kaUpfRRw8CngssnHp9VZ3WX1iSpCF0aT76DLAKWA7c2W84kqQhdUkKu1bVYb1HIkkaXJfRR5ckeVzvkUiSBjfbfgoraPZTeABwTJJraJqPAlRV7TOaECVJozJb89EzaZ4kdgOuH004kqQhzbbJzvUASc6rKpuPJGkT0KVP4fIkT+w9EknS4LqMPtofeGmS62g217FPQRqRhSd/fugQtIG67vQjevneLknh0F5qliRtcOZsPmr7FnYDDmqP7+hynyRp4zPnP+5JTgX+EnhDW/RA4EN9BiVJGkaXv/ifDRxF059AVf0/YOs+g5IkDaNLUvhtVRXNRDaSbNlvSJKkoXRJCp9IcibwkCSvAL4CnDXHPZKkjVCX/RTeneQZwG3Ao4E3V9WXe49MkjRyXfZTeGdV/SXw5WnK5qWd87AauAe4u6oWJ9kO+DjNvg3XAS+oql/Otw5J0rrr0nz0jGnKDl8PdR9YVftW1eL2/GTgwqraE7iwPZckjdCMSSHJn7UrpT46yRVTXtcCV/QQy9HA0vZ4KfCsHuqQJM1ituajjwAXAO9gzb/aV1fVL+5nvQV8KUkBZ1bVEmCnqrqp/fynwE7T3ZjkeOB4gN133/1+hiFJmmq2VVJX0WzD+eIe6n1qVd2YZEfgy0n+ba26q00Y08W1BFgCsHjx4mmvkSTNzyDLVVTVje37SuDTwJOAm5PsDNC+rxwiNknalI08KSTZMsnWE8fAIcB3gfOAl7eXvRz4zKhjk6RNXZdVUte3nYBPJ5mo/yNV9YUkl9FMlDuOZqe3FwwQmyRt0rrMU3gO8E5gR5q9FCb2U9hmPhVW1TXA46cp/zlw8Hy+U5K0fnR5UngXcGRVXdl3MJKkYXXpU7jZhCBJm4YuTwrLknwcOBe4c6Kwqj7VV1CSpGF0SQrb0Oy2dsiUsgJMCpI0ZrqsknrMKAKRJA2vy+ijBcBxwF7Agonyqjq2x7gkSQPo0tH8QeBhwKHARcCuNMteS5LGTJek8KiqOgW4vaqWAkcA+/cbliRpCF2Swl3t+61J9ga2pZnIJkkaM11GHy1J8lDgFJr1ibYC3txrVJKkQXQZfXRWe3gR8Ih+w5EkDWnGpJDkpVX1oSSvne7zqvrb/sKSJA1htieFLdv3rUcRiCRpeLPtvHZm+/7W0YUjSRrSbM1HZ8x2Y1WdtP7DkSQNabbmo+Uji0KStEGYrflo6SgDkSQNr8vaR1+jWRV1DVV1UC8RSZIG02Xy2uumHC8Angvc3U84kqQhdZm8tnbfwv9J8u2e4pEkDahL89F2U043A/ajWf9IkjRmujQfLafpUwhNs9G1NPsrSJLGTJfmoz1GEYgkaXizTV57zmw3VpV7NEvSmJntSeHI9n1H4A+Br7bnBwKXACYFSRozs01eOwYgyZeARVV1U3u+M3D2SKKTJI1Ul53XdptICK2bgd17ikeSNKAuo48uTPJF4KPt+QuBr/QXkiRpKF1GH52Y5NnAH7VFS6rq0/2GJUkaQpcnBYDLgdVV9ZUkD06ydVWt7jMwSdLozdmnkOQVwCeBM9uiXYBze4xJkjSQLh3NJwBPAW4DqKqraIapSpLGTJekcGdV/XbiJMkDmGYpbUnSxq9LUrgoyRuBLZI8A/hn4LP9hiVJGkKXpHAycAuwAnglcD7wpj6DkiQNo8uQ1HuTLAW+RdNs9IOq6q35KMlhwP8ENgfOqqrT+6pLkrSmLqOPjgB+BJwB/D1wdZLD+wgmyebAPwCHA4uAFydZ1EddkqT76jJP4W+AA6vqaoAkjwQ+D1zQQzxPAq6uqmvauj4GHA18v4e6JElr6dKnsHoiIbSuAfqauLYL8JMp5ze0ZZKkEejypLAsyfnAJ2j6FJ4PXDax38Ko91VIcjxwfHv6qyQ/GGX9Y2x74GdDB7GhyDuHjkDT8Hd0ivv5O/rwmT7okhQW0KyM+sft+S3AFjT7LRTrd1+FG4Hdppzv2pZNqqolwJL1WKeAJMuqavHQcUgz8Xd0NLqMPjpmFIG0LgP2TLIHTTJ4EfAnI6xfkjZpXUYf/X6SC5N8tz3fJ0kv8xSq6m7gROCLwJXAJ6rqe33UJUm6ry4dze8D3gDcBVBVV9D8Bd+Lqjq/qn6/qh5ZVW/vqx7dh01y2tD5OzoCXZLCg6vq22uV3d1HMBpO21cjbbD8HR2NLknhZ+3chAJI8jzgptlvkSRtjLounX0m8JgkNwKvBv60z6A0WkkOS/KDJFcnOXnoeKSpknwgycqJfk31q0tSeGhVPR3YAXhMVT0VeFy/YWlUXFpEG4GzgcOGDmJT0amjOcneVXV7Va1O8iLglL4D08hMLi3S7psxsbSItEGoqouBXwwdx6aiS1J4HnBOkse0W3OeABzSb1gaIZcWkTSpy+S1a9qng3OBHwOHVNWv+w5MkjR6MyaFJCtYc9vN7Wj2OPhWEqpqn76D00jMubSIpE3HbE8KzxxZFBqSS4tImjRjUqiq60cZiIZRVXcnmVhaZHPgAy4tog1Jko8CTwO2T3IDcGpVvX/YqMZXetxZU5K0keky+kiStIkwKUiSJpkUJEmTTAqSpEkmBUnSJJOCxlaSS+Z532lJnt7x2rcked06fPd1SbafT1xrfc/iJGfc3++R1jbnMhfSxqqq/nCe9715fceyvlXVMmDZ0HFo/PikoLGV5Fft++uTXJbkiiRvbcsWJrkyyfuSfC/Jl5Js0X52druZFElOT/L99t53z1HfK5JckGSLJC9N8u0k30lyZrtE+drXn5tkeVv/8VPjTvLXbflXkjwpydeTXJPkqPaapyX5XHv8lnbPgYlrTlpf/w216TEpaKwlOQTYk2aJ8H2B/ZL8UfvxnsA/VNVewK3Ac9e6998Bzwb2atf6+qtZ6jmRZmmYZwELgRcCT6mqfYF7gJdMc9uxVbUfsBg4qa0PYEvgq21cq9t6n9HGctoMITwGOLT9OU9N8sCZYpVmY/ORxt0h7etf2/OtaJLBj4Frq+o7bflymn/Mp1oF/AZ4f/tX+edmqONlNMuPP6uq7kpyMLAfcFkSgC2AldPcd1KSZ7fHu7Vx/Rz4LfCFtnwFcGf7vSumiXHC56vqTuDOJCuBnWiWQZfWiUlB4y7AO6rqzDUKk4XAnVOK7qH5x3tSuy7Uk4CDafYVORE4aJo6VtA8hewKXNvWubSq3jBjUMnTgKcDT66qO5J8HVjQfnxX/W79mXsn4qyqe5PM9P/s2j+L/29rXmw+0rj7InBskq0AkuySZMcuN7b3bFtV5wOvAR4/w6X/CrwSOC/J7wEXAs+bqCfJdkkevtY92wK/bBPCY4AD1vUHk/rgXxMaZ1VVX0ryWOCbbVPOr4CX0vw1PZetgc8kWUDz1/9rZ6noG+3Q1M/TtP+/CfhSks2Au2h2LJy68vAXgD9NciXwA+DSdf3hpD64SqrGUttpe3lVrf0XuqRZ2HyksdM24XwTmHUIqaT78klBkjTJJwVJ0iSTgiRpkklBkjTJpCBJmmRSkCRNMilIkib9f7IRaUzbOpKcAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(genders, data_sum_gender['gizi'])\n",
    "\n",
    "plt.ylabel('kepedulian terhadap gizi dalam makanan ringan')\n",
    "plt.xlabel('jenis kelamin')\n",
    "\n",
    "plt.xticks(genders)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 0 = Laki laki\n",
    "### 1 = Perempuan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 403,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(umurs, data_sum_umur['suka_kripik'])\n",
    "\n",
    "plt.ylabel('tingkat kesukaan terhadap makanan ringan')\n",
    "plt.xlabel('rentang umur')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 404,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(genders, data_sum_gender['suka_kripik'])\n",
    "\n",
    "plt.ylabel('tingkat kesukaan terhadap makanan ringan')\n",
    "plt.xlabel('jenis kelamin')\n",
    "\n",
    "plt.xticks(genders)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 0 = Laki laki\n",
    "### 1 = Perempuan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 405,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(umurs, data_sum_umur['suka_baru'])\n",
    "\n",
    "plt.ylabel('tingkat kesukaan mencoba makanan baru')\n",
    "plt.xlabel('rentang umur')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 406,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(genders, data_sum_gender['suka_baru'])\n",
    "\n",
    "plt.ylabel('tingkat kesukaan mencoba makanan baru')\n",
    "plt.xlabel('jenis kelamin')\n",
    "\n",
    "plt.xticks(genders)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 0 = Laki laki\n",
    "### 1 = Perempuan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 407,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gender         0.765432\n",
      "suka_kripik    4.197531\n",
      "gizi           3.641975\n",
      "suka_baru      3.802469\n",
      "toko           0.962963\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(data_mean)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 411,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['suka_kripik', 'gizi', 'suka_baru']\n",
    "ylabels  = [1, 2, 3, 4, 5]\n",
    "\n",
    "plt.bar(labels, data_mean[labels])\n",
    "\n",
    "plt.yticks(ylabels)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 412,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_max = data_frame.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 414,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['suka_kripik', 'gizi', 'suka_baru']\n",
    "ylabels  = [1, 2, 3, 4, 5]\n",
    "\n",
    "plt.bar(labels, data_max[labels])\n",
    "\n",
    "plt.yticks(ylabels)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ringkasan:\n",
    "Dari berbagai data yang telah dipaparkan, didapatkan informasi bahwa rentang umur yang paling suka dengan makanan ringan adalah rentang umur 14 - 18 tahun, kemudian disusul oleh rentang umur 19 - 25 tahun, 25 - 35 tahun, dan lebih dari 35 tahun. Rentang umur dengan minat untuk mencoba makanan baru tertinggi adalah rentang umur 14 - 18 tahun, kemudian disusul oleh rentang umur 19 - 25 tahun, 25 - 35 tahun, dan lebih dari 35 tahun. Rentang umur dengan kepedulian terhadap gizi pada makanan ringan tertinggi adalah rentang umur 14 - 18 tahun, kemudian disusul oleh rentang umur 19 - 25 tahun, 25 - 35 tahun, dan lebih dari 35 tahun. \n",
    "\n",
    "\n",
    "### Kesimpulan:\n",
    "Dari berbagai data segmentasi pasar yang telah diperoleh, didapatkan kesimpulan bahwa target pasar yang sesuai untuk produk keripik ikan kelor adalah: \n",
    "1. Rentang umur  : 14 - 25 tahun\n",
    "2. Jenis Kelamin : Laki - laki "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}