notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cP5zh7Ww85Fm"
   },
   "source": [
    "# Proyek Analisis Data: Bike Sharing Dataset\n",
    "- Nama: Hairul Yasin\n",
    "- ID Dicoding: hairulysinn"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ggwOFmpI88dG"
   },
   "source": [
    "## Menentukan Pertanyaan Bisnis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6irqmTtg8-IC"
   },
   "source": [
    "- Bagaimana tren penggunaan sepeda pada setiap musim ?\n",
    "- Bagaimana tren penggunaan bike sharing selama dua tahun terakhir?\n",
    "- Apakah penggunaan sepeda lebih banyak dilakukan pada hari libur?\n",
    "- Bagaimana pengaruh cuaca terhadap pengguna bike sharing?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EueHsNk89AsY"
   },
   "source": [
    "## Menyiapkan semua library yang dibutuhkan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "4cmWv4qc8xWu"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FLiQK__6JHmz"
   },
   "source": [
    "Tool Pengolahan Data:\n",
    "*   Library `numpy` digunakan untuk komputasi numerik\n",
    "*   Library `pandas` digunakan untuk memanipulasi dan menganalisis data\n",
    "\n",
    "Tool Visualisasi Data:\n",
    "*   Library `matplotlib` digunakan untuk membuat sebuah figure\n",
    "*   Library `seaborn` digunakan untuk visualisasi data yang atraktif dan informatif."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7DwSpkkZ9BqV"
   },
   "source": [
    "## Data Wrangling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZuJuLGxe9D9O"
   },
   "source": [
    "### Gathering Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MUO0rK_CJSNF"
   },
   "source": [
    "Membaca dataset `csv` file dari Github Repository menggunakan library `pandas`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sp9tI8SYOX6W"
   },
   "source": [
    "#### tabel day_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 357
    },
    "id": "Rg3wtvOr9DUm",
    "outputId": "e0c6cae9-5e3d-4ccf-e895-e5d9da10a02a"
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\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>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  2011-01-01       1   0     1        0        6           0   \n",
       "1        2  2011-01-02       1   0     1        0        0           0   \n",
       "2        3  2011-01-03       1   0     1        0        1           1   \n",
       "3        4  2011-01-04       1   0     1        0        2           1   \n",
       "4        5  2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
       "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
       "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
       "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
       "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_df = pd.read_csv(\"https://raw.githubusercontent.com/hairulysin/dicoding_DA/main/Bike-sharing-dataset/day.csv\")\n",
    "day_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YR8Hwws2Ocnx"
   },
   "source": [
    "#### tabel hour_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 357
    },
    "id": "BEm6B6hhpqr3",
    "outputId": "e2775e9e-b434-41f2-bae0-30ff7592bf03"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>hr</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.2879</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.2727</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8</td>\n",
       "      <td>32</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.2727</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.2879</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.2879</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  hr  holiday  weekday  workingday  \\\n",
       "0        1  2011-01-01       1   0     1   0        0        6           0   \n",
       "1        2  2011-01-01       1   0     1   1        0        6           0   \n",
       "2        3  2011-01-01       1   0     1   2        0        6           0   \n",
       "3        4  2011-01-01       1   0     1   3        0        6           0   \n",
       "4        5  2011-01-01       1   0     1   4        0        6           0   \n",
       "\n",
       "   weathersit  temp   atemp   hum  windspeed  casual  registered  cnt  \n",
       "0           1  0.24  0.2879  0.81        0.0       3          13   16  \n",
       "1           1  0.22  0.2727  0.80        0.0       8          32   40  \n",
       "2           1  0.22  0.2727  0.80        0.0       5          27   32  \n",
       "3           1  0.24  0.2879  0.75        0.0       3          10   13  \n",
       "4           1  0.24  0.2879  0.75        0.0       0           1    1  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hour_df = pd.read_csv(\"https://raw.githubusercontent.com/hairulysin/dicoding_DA/main/Bike-sharing-dataset/hour.csv\")\n",
    "hour_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BvZAfrSH9F2U"
   },
   "source": [
    "### Assessing Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gxHhehXCqkCe"
   },
   "source": [
    "#### Menilai tabel day_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "qBzu4Fj0I0Eq"
   },
   "source": [
    "##### Cek informasi data (baris, column, dtype, missing value)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "pCo_HOrOqBj-",
    "outputId": "bcc426fc-2df2-4b17-9d29-aefba9363a91"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 16 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   instant     731 non-null    int64  \n",
      " 1   dteday      731 non-null    object \n",
      " 2   season      731 non-null    int64  \n",
      " 3   yr          731 non-null    int64  \n",
      " 4   mnth        731 non-null    int64  \n",
      " 5   holiday     731 non-null    int64  \n",
      " 6   weekday     731 non-null    int64  \n",
      " 7   workingday  731 non-null    int64  \n",
      " 8   weathersit  731 non-null    int64  \n",
      " 9   temp        731 non-null    float64\n",
      " 10  atemp       731 non-null    float64\n",
      " 11  hum         731 non-null    float64\n",
      " 12  windspeed   731 non-null    float64\n",
      " 13  casual      731 non-null    int64  \n",
      " 14  registered  731 non-null    int64  \n",
      " 15  cnt         731 non-null    int64  \n",
      "dtypes: float64(4), int64(11), object(1)\n",
      "memory usage: 91.5+ KB\n"
     ]
    }
   ],
   "source": [
    "day_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "eoQ8RYunI2Db"
   },
   "source": [
    "Pada tabel `day_df` terdapat kesalahan tipe data pada kolom `dteday` berupa `object` yang seharusnya `datetime`, serta tidak ditemukan missing value pada data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2ZknVE69IwxC"
   },
   "source": [
    "##### Cek duplikasi data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "fx7PaLsV9G8M",
    "outputId": "520b8e41-bb21-4f19-d4d3-312027362c78"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Jumlah duplikasi: 0\n"
     ]
    }
   ],
   "source": [
    "print(\"Jumlah duplikasi:\", day_df.duplicated().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sWhr3R_HIu3r"
   },
   "source": [
    "##### Cek parameter statistik"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 364
    },
    "id": "hbNcZNdqqcyO",
    "outputId": "8085e198-5d29-4b12-fa00-29322c5a2ca9"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>2.496580</td>\n",
       "      <td>0.500684</td>\n",
       "      <td>6.519836</td>\n",
       "      <td>0.028728</td>\n",
       "      <td>2.997264</td>\n",
       "      <td>0.683995</td>\n",
       "      <td>1.395349</td>\n",
       "      <td>0.495385</td>\n",
       "      <td>0.474354</td>\n",
       "      <td>0.627894</td>\n",
       "      <td>0.190486</td>\n",
       "      <td>848.176471</td>\n",
       "      <td>3656.172367</td>\n",
       "      <td>4504.348837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>211.165812</td>\n",
       "      <td>1.110807</td>\n",
       "      <td>0.500342</td>\n",
       "      <td>3.451913</td>\n",
       "      <td>0.167155</td>\n",
       "      <td>2.004787</td>\n",
       "      <td>0.465233</td>\n",
       "      <td>0.544894</td>\n",
       "      <td>0.183051</td>\n",
       "      <td>0.162961</td>\n",
       "      <td>0.142429</td>\n",
       "      <td>0.077498</td>\n",
       "      <td>686.622488</td>\n",
       "      <td>1560.256377</td>\n",
       "      <td>1937.211452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.059130</td>\n",
       "      <td>0.079070</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022392</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>183.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.337083</td>\n",
       "      <td>0.337842</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.134950</td>\n",
       "      <td>315.500000</td>\n",
       "      <td>2497.000000</td>\n",
       "      <td>3152.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.498333</td>\n",
       "      <td>0.486733</td>\n",
       "      <td>0.626667</td>\n",
       "      <td>0.180975</td>\n",
       "      <td>713.000000</td>\n",
       "      <td>3662.000000</td>\n",
       "      <td>4548.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>548.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.655417</td>\n",
       "      <td>0.608602</td>\n",
       "      <td>0.730209</td>\n",
       "      <td>0.233214</td>\n",
       "      <td>1096.000000</td>\n",
       "      <td>4776.500000</td>\n",
       "      <td>5956.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.861667</td>\n",
       "      <td>0.840896</td>\n",
       "      <td>0.972500</td>\n",
       "      <td>0.507463</td>\n",
       "      <td>3410.000000</td>\n",
       "      <td>6946.000000</td>\n",
       "      <td>8714.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          instant      season          yr        mnth     holiday     weekday  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean   366.000000    2.496580    0.500684    6.519836    0.028728    2.997264   \n",
       "std    211.165812    1.110807    0.500342    3.451913    0.167155    2.004787   \n",
       "min      1.000000    1.000000    0.000000    1.000000    0.000000    0.000000   \n",
       "25%    183.500000    2.000000    0.000000    4.000000    0.000000    1.000000   \n",
       "50%    366.000000    3.000000    1.000000    7.000000    0.000000    3.000000   \n",
       "75%    548.500000    3.000000    1.000000   10.000000    0.000000    5.000000   \n",
       "max    731.000000    4.000000    1.000000   12.000000    1.000000    6.000000   \n",
       "\n",
       "       workingday  weathersit        temp       atemp         hum   windspeed  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean     0.683995    1.395349    0.495385    0.474354    0.627894    0.190486   \n",
       "std      0.465233    0.544894    0.183051    0.162961    0.142429    0.077498   \n",
       "min      0.000000    1.000000    0.059130    0.079070    0.000000    0.022392   \n",
       "25%      0.000000    1.000000    0.337083    0.337842    0.520000    0.134950   \n",
       "50%      1.000000    1.000000    0.498333    0.486733    0.626667    0.180975   \n",
       "75%      1.000000    2.000000    0.655417    0.608602    0.730209    0.233214   \n",
       "max      1.000000    3.000000    0.861667    0.840896    0.972500    0.507463   \n",
       "\n",
       "            casual   registered          cnt  \n",
       "count   731.000000   731.000000   731.000000  \n",
       "mean    848.176471  3656.172367  4504.348837  \n",
       "std     686.622488  1560.256377  1937.211452  \n",
       "min       2.000000    20.000000    22.000000  \n",
       "25%     315.500000  2497.000000  3152.000000  \n",
       "50%     713.000000  3662.000000  4548.000000  \n",
       "75%    1096.000000  4776.500000  5956.000000  \n",
       "max    3410.000000  6946.000000  8714.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gKn06w4bqr3G"
   },
   "source": [
    "#### Lakukan hal yang sama pada tabel hour_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "JFWx9U_lquAw",
    "outputId": "c226c272-7015-4c81-d81e-a1625c0b9d13"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 17379 entries, 0 to 17378\n",
      "Data columns (total 17 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   instant     17379 non-null  int64  \n",
      " 1   dteday      17379 non-null  object \n",
      " 2   season      17379 non-null  int64  \n",
      " 3   yr          17379 non-null  int64  \n",
      " 4   mnth        17379 non-null  int64  \n",
      " 5   hr          17379 non-null  int64  \n",
      " 6   holiday     17379 non-null  int64  \n",
      " 7   weekday     17379 non-null  int64  \n",
      " 8   workingday  17379 non-null  int64  \n",
      " 9   weathersit  17379 non-null  int64  \n",
      " 10  temp        17379 non-null  float64\n",
      " 11  atemp       17379 non-null  float64\n",
      " 12  hum         17379 non-null  float64\n",
      " 13  windspeed   17379 non-null  float64\n",
      " 14  casual      17379 non-null  int64  \n",
      " 15  registered  17379 non-null  int64  \n",
      " 16  cnt         17379 non-null  int64  \n",
      "dtypes: float64(4), int64(12), object(1)\n",
      "memory usage: 2.3+ MB\n"
     ]
    }
   ],
   "source": [
    "hour_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LAjiSax8IL2b"
   },
   "source": [
    "##### Cek duplikasi data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "rLzUsxnoq2y3",
    "outputId": "b0b50aaa-3bf1-48da-dc8c-bad43591816e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Jumlah duplikasi: 0\n"
     ]
    }
   ],
   "source": [
    "print(\"Jumlah duplikasi:\", hour_df.duplicated().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "scR4aEcEMtCC"
   },
   "source": [
    "Berdasarkan hasil pengecekan pada tabel `hour_df` tidak terdapat duplikasi data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BA8igbrlIlwq"
   },
   "source": [
    "##### Cek parameter statistik"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 364
    },
    "id": "KsfC0DXxq7Gf",
    "outputId": "f5b9fbd3-e308-47ff-b907-004e92350bff"
   },
   "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>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>hr</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>17379.0000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "      <td>17379.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8690.0000</td>\n",
       "      <td>2.501640</td>\n",
       "      <td>0.502561</td>\n",
       "      <td>6.537775</td>\n",
       "      <td>11.546752</td>\n",
       "      <td>0.028770</td>\n",
       "      <td>3.003683</td>\n",
       "      <td>0.682721</td>\n",
       "      <td>1.425283</td>\n",
       "      <td>0.496987</td>\n",
       "      <td>0.475775</td>\n",
       "      <td>0.627229</td>\n",
       "      <td>0.190098</td>\n",
       "      <td>35.676218</td>\n",
       "      <td>153.786869</td>\n",
       "      <td>189.463088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5017.0295</td>\n",
       "      <td>1.106918</td>\n",
       "      <td>0.500008</td>\n",
       "      <td>3.438776</td>\n",
       "      <td>6.914405</td>\n",
       "      <td>0.167165</td>\n",
       "      <td>2.005771</td>\n",
       "      <td>0.465431</td>\n",
       "      <td>0.639357</td>\n",
       "      <td>0.192556</td>\n",
       "      <td>0.171850</td>\n",
       "      <td>0.192930</td>\n",
       "      <td>0.122340</td>\n",
       "      <td>49.305030</td>\n",
       "      <td>151.357286</td>\n",
       "      <td>181.387599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.0000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4345.5000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.340000</td>\n",
       "      <td>0.333300</td>\n",
       "      <td>0.480000</td>\n",
       "      <td>0.104500</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>40.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8690.0000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.484800</td>\n",
       "      <td>0.630000</td>\n",
       "      <td>0.194000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>115.000000</td>\n",
       "      <td>142.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>13034.5000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.660000</td>\n",
       "      <td>0.621200</td>\n",
       "      <td>0.780000</td>\n",
       "      <td>0.253700</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>220.000000</td>\n",
       "      <td>281.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17379.0000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.850700</td>\n",
       "      <td>367.000000</td>\n",
       "      <td>886.000000</td>\n",
       "      <td>977.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          instant        season            yr          mnth            hr  \\\n",
       "count  17379.0000  17379.000000  17379.000000  17379.000000  17379.000000   \n",
       "mean    8690.0000      2.501640      0.502561      6.537775     11.546752   \n",
       "std     5017.0295      1.106918      0.500008      3.438776      6.914405   \n",
       "min        1.0000      1.000000      0.000000      1.000000      0.000000   \n",
       "25%     4345.5000      2.000000      0.000000      4.000000      6.000000   \n",
       "50%     8690.0000      3.000000      1.000000      7.000000     12.000000   \n",
       "75%    13034.5000      3.000000      1.000000     10.000000     18.000000   \n",
       "max    17379.0000      4.000000      1.000000     12.000000     23.000000   \n",
       "\n",
       "            holiday       weekday    workingday    weathersit          temp  \\\n",
       "count  17379.000000  17379.000000  17379.000000  17379.000000  17379.000000   \n",
       "mean       0.028770      3.003683      0.682721      1.425283      0.496987   \n",
       "std        0.167165      2.005771      0.465431      0.639357      0.192556   \n",
       "min        0.000000      0.000000      0.000000      1.000000      0.020000   \n",
       "25%        0.000000      1.000000      0.000000      1.000000      0.340000   \n",
       "50%        0.000000      3.000000      1.000000      1.000000      0.500000   \n",
       "75%        0.000000      5.000000      1.000000      2.000000      0.660000   \n",
       "max        1.000000      6.000000      1.000000      4.000000      1.000000   \n",
       "\n",
       "              atemp           hum     windspeed        casual    registered  \\\n",
       "count  17379.000000  17379.000000  17379.000000  17379.000000  17379.000000   \n",
       "mean       0.475775      0.627229      0.190098     35.676218    153.786869   \n",
       "std        0.171850      0.192930      0.122340     49.305030    151.357286   \n",
       "min        0.000000      0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.333300      0.480000      0.104500      4.000000     34.000000   \n",
       "50%        0.484800      0.630000      0.194000     17.000000    115.000000   \n",
       "75%        0.621200      0.780000      0.253700     48.000000    220.000000   \n",
       "max        1.000000      1.000000      0.850700    367.000000    886.000000   \n",
       "\n",
       "                cnt  \n",
       "count  17379.000000  \n",
       "mean     189.463088  \n",
       "std      181.387599  \n",
       "min        1.000000  \n",
       "25%       40.000000  \n",
       "50%      142.000000  \n",
       "75%      281.000000  \n",
       "max      977.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hour_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Uz5dgcJm9HW5"
   },
   "source": [
    "### Cleaning Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5CiEXU-XjX33"
   },
   "source": [
    "##### Memperbaiki tipe data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "CCszTdXD9Ivf"
   },
   "outputs": [],
   "source": [
    "day_df[\"dteday\"] = pd.to_datetime(day_df[\"dteday\"])\n",
    "hour_df[\"dteday\"] = pd.to_datetime(hour_df[\"dteday\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "am-LB20VrjGj"
   },
   "source": [
    "Mengubah dtypes kolom `dteday` menjadi `datetime` menggunakan `pandas`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-1hePoSssSX8",
    "outputId": "3c64cd14-533a-4f34-b938-c4d1dc6684b5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 16 columns):\n",
      " #   Column      Non-Null Count  Dtype         \n",
      "---  ------      --------------  -----         \n",
      " 0   instant     731 non-null    int64         \n",
      " 1   dteday      731 non-null    datetime64[ns]\n",
      " 2   season      731 non-null    int64         \n",
      " 3   yr          731 non-null    int64         \n",
      " 4   mnth        731 non-null    int64         \n",
      " 5   holiday     731 non-null    int64         \n",
      " 6   weekday     731 non-null    int64         \n",
      " 7   workingday  731 non-null    int64         \n",
      " 8   weathersit  731 non-null    int64         \n",
      " 9   temp        731 non-null    float64       \n",
      " 10  atemp       731 non-null    float64       \n",
      " 11  hum         731 non-null    float64       \n",
      " 12  windspeed   731 non-null    float64       \n",
      " 13  casual      731 non-null    int64         \n",
      " 14  registered  731 non-null    int64         \n",
      " 15  cnt         731 non-null    int64         \n",
      "dtypes: datetime64[ns](1), float64(4), int64(11)\n",
      "memory usage: 91.5 KB\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 17379 entries, 0 to 17378\n",
      "Data columns (total 17 columns):\n",
      " #   Column      Non-Null Count  Dtype         \n",
      "---  ------      --------------  -----         \n",
      " 0   instant     17379 non-null  int64         \n",
      " 1   dteday      17379 non-null  datetime64[ns]\n",
      " 2   season      17379 non-null  int64         \n",
      " 3   yr          17379 non-null  int64         \n",
      " 4   mnth        17379 non-null  int64         \n",
      " 5   hr          17379 non-null  int64         \n",
      " 6   holiday     17379 non-null  int64         \n",
      " 7   weekday     17379 non-null  int64         \n",
      " 8   workingday  17379 non-null  int64         \n",
      " 9   weathersit  17379 non-null  int64         \n",
      " 10  temp        17379 non-null  float64       \n",
      " 11  atemp       17379 non-null  float64       \n",
      " 12  hum         17379 non-null  float64       \n",
      " 13  windspeed   17379 non-null  float64       \n",
      " 14  casual      17379 non-null  int64         \n",
      " 15  registered  17379 non-null  int64         \n",
      " 16  cnt         17379 non-null  int64         \n",
      "dtypes: datetime64[ns](1), float64(4), int64(12)\n",
      "memory usage: 2.3 MB\n"
     ]
    }
   ],
   "source": [
    "day_df.info()\n",
    "hour_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EyPJaCDm9KFb"
   },
   "source": [
    "## Exploratory Data Analysis (EDA)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hxgJ6qd69Mce"
   },
   "source": [
    "### Explore day_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 357
    },
    "id": "dTR67ajM8dt7",
    "outputId": "c9641754-b5d0-49d8-d9a6-01befd942d80"
   },
   "outputs": [
    {
     "data": {
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       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
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       "      <th>66</th>\n",
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       "      <td>0.231700</td>\n",
       "      <td>0.483333</td>\n",
       "      <td>0.350754</td>\n",
       "      <td>364</td>\n",
       "      <td>1432</td>\n",
       "      <td>1796</td>\n",
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       "    <tr>\n",
       "      <th>660</th>\n",
       "      <td>661</td>\n",
       "      <td>2012-10-22</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
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      "text/plain": [
       "     instant     dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "66        67 2011-03-08       1   0     3        0        2           1   \n",
       "193      194 2011-07-13       3   0     7        0        3           1   \n",
       "435      436 2012-03-11       1   1     3        0        0           0   \n",
       "729      730 2012-12-30       1   1    12        0        0           0   \n",
       "660      661 2012-10-22       4   1    10        0        1           1   \n",
       "\n",
       "     weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "66            1  0.292500  0.302400  0.420833   0.120650     316        1817   \n",
       "193           1  0.746667  0.689404  0.631667   0.146133     748        3594   \n",
       "435           1  0.361739  0.359670  0.476957   0.222587    1658        3253   \n",
       "729           1  0.255833  0.231700  0.483333   0.350754     364        1432   \n",
       "660           1  0.487500  0.482942  0.568333   0.081483     830        6228   \n",
       "\n",
       "      cnt  \n",
       "66   2133  \n",
       "193  4342  \n",
       "435  4911  \n",
       "729  1796  \n",
       "660  7058  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_df.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OI3V7tWpDFF5"
   },
   "source": [
    "#### Denormalize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 661
    },
    "id": "blWAUYZODPgM",
    "outputId": "7d763f0a-c971-427a-9b19-2f7a43567714"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\os\\AppData\\Local\\Temp\\ipykernel_16936\\3202152416.py:6: FutureWarning: Treating datetime data as categorical rather than numeric in `.describe` is deprecated and will be removed in a future version of pandas. Specify `datetime_is_numeric=True` to silence this warning and adopt the future behavior now.\n",
      "  day_df.describe(include=\"all\")\n"
     ]
    },
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>first</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2011-01-01 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>last</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2012-12-31 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>mean</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.496580</td>\n",
       "      <td>0.500684</td>\n",
       "      <td>6.519836</td>\n",
       "      <td>0.028728</td>\n",
       "      <td>2.997264</td>\n",
       "      <td>0.683995</td>\n",
       "      <td>1.395349</td>\n",
       "      <td>20.310776</td>\n",
       "      <td>23.717699</td>\n",
       "      <td>62.789406</td>\n",
       "      <td>12.762576</td>\n",
       "      <td>848.176471</td>\n",
       "      <td>3656.172367</td>\n",
       "      <td>4504.348837</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>211.165812</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.110807</td>\n",
       "      <td>0.500342</td>\n",
       "      <td>3.451913</td>\n",
       "      <td>0.167155</td>\n",
       "      <td>2.004787</td>\n",
       "      <td>0.465233</td>\n",
       "      <td>0.544894</td>\n",
       "      <td>7.505091</td>\n",
       "      <td>8.148059</td>\n",
       "      <td>14.242910</td>\n",
       "      <td>5.192357</td>\n",
       "      <td>686.622488</td>\n",
       "      <td>1560.256377</td>\n",
       "      <td>1937.211452</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.424346</td>\n",
       "      <td>3.953480</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.500244</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>183.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>13.820424</td>\n",
       "      <td>16.892125</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>9.041650</td>\n",
       "      <td>315.500000</td>\n",
       "      <td>2497.000000</td>\n",
       "      <td>3152.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.431653</td>\n",
       "      <td>24.336650</td>\n",
       "      <td>62.666700</td>\n",
       "      <td>12.125325</td>\n",
       "      <td>713.000000</td>\n",
       "      <td>3662.000000</td>\n",
       "      <td>4548.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>548.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>26.872076</td>\n",
       "      <td>30.430100</td>\n",
       "      <td>73.020850</td>\n",
       "      <td>15.625371</td>\n",
       "      <td>1096.000000</td>\n",
       "      <td>4776.500000</td>\n",
       "      <td>5956.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>35.328347</td>\n",
       "      <td>42.044800</td>\n",
       "      <td>97.250000</td>\n",
       "      <td>34.000021</td>\n",
       "      <td>3410.000000</td>\n",
       "      <td>6946.000000</td>\n",
       "      <td>8714.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           instant               dteday      season          yr        mnth  \\\n",
       "count   731.000000                  731  731.000000  731.000000  731.000000   \n",
       "unique         NaN                  731         NaN         NaN         NaN   \n",
       "top            NaN  2011-01-01 00:00:00         NaN         NaN         NaN   \n",
       "freq           NaN                    1         NaN         NaN         NaN   \n",
       "first          NaN  2011-01-01 00:00:00         NaN         NaN         NaN   \n",
       "last           NaN  2012-12-31 00:00:00         NaN         NaN         NaN   \n",
       "mean    366.000000                  NaN    2.496580    0.500684    6.519836   \n",
       "std     211.165812                  NaN    1.110807    0.500342    3.451913   \n",
       "min       1.000000                  NaN    1.000000    0.000000    1.000000   \n",
       "25%     183.500000                  NaN    2.000000    0.000000    4.000000   \n",
       "50%     366.000000                  NaN    3.000000    1.000000    7.000000   \n",
       "75%     548.500000                  NaN    3.000000    1.000000   10.000000   \n",
       "max     731.000000                  NaN    4.000000    1.000000   12.000000   \n",
       "\n",
       "           holiday     weekday  workingday  weathersit        temp  \\\n",
       "count   731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "unique         NaN         NaN         NaN         NaN         NaN   \n",
       "top            NaN         NaN         NaN         NaN         NaN   \n",
       "freq           NaN         NaN         NaN         NaN         NaN   \n",
       "first          NaN         NaN         NaN         NaN         NaN   \n",
       "last           NaN         NaN         NaN         NaN         NaN   \n",
       "mean      0.028728    2.997264    0.683995    1.395349   20.310776   \n",
       "std       0.167155    2.004787    0.465233    0.544894    7.505091   \n",
       "min       0.000000    0.000000    0.000000    1.000000    2.424346   \n",
       "25%       0.000000    1.000000    0.000000    1.000000   13.820424   \n",
       "50%       0.000000    3.000000    1.000000    1.000000   20.431653   \n",
       "75%       0.000000    5.000000    1.000000    2.000000   26.872076   \n",
       "max       1.000000    6.000000    1.000000    3.000000   35.328347   \n",
       "\n",
       "             atemp         hum   windspeed       casual   registered  \\\n",
       "count   731.000000  731.000000  731.000000   731.000000   731.000000   \n",
       "unique         NaN         NaN         NaN          NaN          NaN   \n",
       "top            NaN         NaN         NaN          NaN          NaN   \n",
       "freq           NaN         NaN         NaN          NaN          NaN   \n",
       "first          NaN         NaN         NaN          NaN          NaN   \n",
       "last           NaN         NaN         NaN          NaN          NaN   \n",
       "mean     23.717699   62.789406   12.762576   848.176471  3656.172367   \n",
       "std       8.148059   14.242910    5.192357   686.622488  1560.256377   \n",
       "min       3.953480    0.000000    1.500244     2.000000    20.000000   \n",
       "25%      16.892125   52.000000    9.041650   315.500000  2497.000000   \n",
       "50%      24.336650   62.666700   12.125325   713.000000  3662.000000   \n",
       "75%      30.430100   73.020850   15.625371  1096.000000  4776.500000   \n",
       "max      42.044800   97.250000   34.000021  3410.000000  6946.000000   \n",
       "\n",
       "                cnt  \n",
       "count    731.000000  \n",
       "unique          NaN  \n",
       "top             NaN  \n",
       "freq            NaN  \n",
       "first           NaN  \n",
       "last            NaN  \n",
       "mean    4504.348837  \n",
       "std     1937.211452  \n",
       "min       22.000000  \n",
       "25%     3152.000000  \n",
       "50%     4548.000000  \n",
       "75%     5956.000000  \n",
       "max     8714.000000  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_df[\"temp\"] = day_df[\"temp\"].multiply(41)\n",
    "day_df[\"atemp\"] = day_df[\"atemp\"].multiply(50)\n",
    "day_df[\"hum\"] = day_df[\"hum\"].multiply(100)\n",
    "day_df[\"windspeed\"] = day_df[\"windspeed\"].multiply(67)\n",
    "\n",
    "day_df.describe(include=\"all\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3dzkLeMYQwa7"
   },
   "source": [
    "Mengembalikan data aslinya sebelum di normalisasi untuk di eksplore dan di visualisasi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fall        188\n",
       "Springer    181\n",
       "Summer      184\n",
       "Winter      178\n",
       "Name: season, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_df.loc[day_df[\"season\"] == 1, \"season\"] = \"Springer\"\n",
    "day_df.loc[day_df[\"season\"] == 2, \"season\"] = \"Summer\"\n",
    "day_df.loc[day_df[\"season\"] == 3, \"season\"] = \"Fall\"\n",
    "day_df.loc[day_df[\"season\"] == 4, \"season\"] = \"Winter\"\n",
    "\n",
    "day_df.season.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "GWAV4Ubo-NQw",
    "outputId": "a5b15126-458c-4bf3-c0a1-804f2704d99b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2011    365\n",
       "2012    366\n",
       "Name: yr, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_df.loc[day_df[\"yr\"] == 0, \"yr\"] = \"2011\"\n",
    "day_df.loc[day_df[\"yr\"] == 1, \"yr\"] = \"2012\"\n",
    "\n",
    "day_df.yr.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "trjLlh_C-2iN",
    "outputId": "f4d10e3f-b682-45f1-cf52-9d494a25f098"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Holiday          710\n",
       "Not a Holiday     21\n",
       "Name: holiday, dtype: int64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_df.loc[day_df[\"holiday\"] == 0, \"holiday\"] = \"Holiday\"\n",
    "day_df.loc[day_df[\"holiday\"] == 1, \"holiday\"] = \"Not a Holiday\"\n",
    "\n",
    "day_df.holiday.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "DxhImmTN-61c",
    "outputId": "58bc3253-bb20-4505-e27b-89d08bdef7be"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fri    104\n",
       "Mon    105\n",
       "Sat    105\n",
       "Sun    105\n",
       "Thu    104\n",
       "Tue    104\n",
       "Wed    104\n",
       "Name: weekday, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_df.loc[day_df[\"weekday\"] == 0, \"weekday\"] = \"Sun\"\n",
    "day_df.loc[day_df[\"weekday\"] == 1, \"weekday\"] = \"Mon\"\n",
    "day_df.loc[day_df[\"weekday\"] == 2, \"weekday\"] = \"Tue\"\n",
    "day_df.loc[day_df[\"weekday\"] == 3, \"weekday\"] = \"Wed\"\n",
    "day_df.loc[day_df[\"weekday\"] == 4, \"weekday\"] = \"Thu\"\n",
    "day_df.loc[day_df[\"weekday\"] == 5, \"weekday\"] = \"Fri\"\n",
    "day_df.loc[day_df[\"weekday\"] == 6, \"weekday\"] = \"Sat\"\n",
    "\n",
    "day_df.weekday.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "XDi_WgbB_DW8",
    "outputId": "91402bfa-e19c-47a2-b25b-dedd9313fc6e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Holiday        231\n",
       "Working Day    500\n",
       "Name: workingday, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_df.loc[day_df[\"workingday\"] == 0, \"workingday\"] = \"Holiday\"\n",
    "day_df.loc[day_df[\"workingday\"] == 1, \"workingday\"] = \"Working Day\"\n",
    "\n",
    "day_df.workingday.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "zOWyVnE5_PTw",
    "outputId": "e9b636bf-59f5-407f-d248-3dff141e3a41"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Clear            463\n",
       "Light Snow        21\n",
       "Mist + Cloudy    247\n",
       "Name: weathersit, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day_df.loc[day_df[\"weathersit\"] == 1, \"weathersit\"] = \"Clear\"\n",
    "day_df.loc[day_df[\"weathersit\"] == 2, \"weathersit\"] = \"Mist + Cloudy\"\n",
    "day_df.loc[day_df[\"weathersit\"] == 3, \"weathersit\"] = \"Light Snow\"\n",
    "day_df.loc[day_df[\"weathersit\"] == 4, \"weathersit\"] = \"Heavy Rain\"\n",
    "\n",
    "day_df.weathersit.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 925
    },
    "id": "Wb_Hu9xfDnPc",
    "outputId": "1ef0e771-7bc7-430b-d7d5-c5c3d22561f7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'temp'}>,\n",
       "        <AxesSubplot:title={'center':'atemp'}>],\n",
       "       [<AxesSubplot:title={'center':'hum'}>,\n",
       "        <AxesSubplot:title={'center':'windspeed'}>]], dtype=object)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day_num_df = day_df[[\"temp\", \"atemp\", \"hum\", \"windspeed\"]]\n",
    "day_num_df.hist(bins=15, figsize=(10, 10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DED-f0zlSj0H"
   },
   "source": [
    "Berdasarkan hasil pengamatan pada tabel `day_df` pada kolom `temp` bentuk grafik historgramnya adalah left-skewed distribution, pada kolom `atemp` bentuk grafik histogramnya adalah left-skewed distribution, pada kolom `hum` bentuk grafik histogramnya adalah right-skewed distribution, dan pada kolom `windspeed` bentuk grafik historgramnya adalah right-skewed distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 893
    },
    "id": "7jvbxYAGMU0N",
    "outputId": "11b97268-1860-44bf-e7da-b627ba07416a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x200cf053190>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data=day_num_df, diag_kind=\"kde\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XgTLMRrYVsGE"
   },
   "source": [
    "Berdasarkan hasil pengamatan pada tabel `day_df` pada kolom `temp` dan `atemp` memiliki korelasi sangat bersesuaian, pada kolom `temp` dan `hum` hampir tidak memiliki korelasi, pada kolom `temp` dan `windspeed` memiliki korelasi yang cukup berlawanan, pada kolom `atemp` dan `hum` hampir tidak memiliki korelasi, pada kolom `atemp` dan `windspeed` memiliki korelasi cukup berlawanan, pada kolom `hum` dan `windspeed` memiliki korelasi cukup berlawanan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "p_5TRGNLNVrO"
   },
   "source": [
    "### Explore hour_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "u9ekMjj8RKY4",
    "outputId": "2847789b-222e-4cd6-f28a-5219af261b4b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     726\n",
       "1     724\n",
       "2     715\n",
       "3     697\n",
       "4     697\n",
       "5     717\n",
       "6     725\n",
       "7     727\n",
       "8     727\n",
       "9     727\n",
       "10    727\n",
       "11    727\n",
       "12    728\n",
       "13    729\n",
       "14    729\n",
       "15    729\n",
       "16    730\n",
       "17    730\n",
       "18    728\n",
       "19    728\n",
       "20    728\n",
       "21    728\n",
       "22    728\n",
       "23    728\n",
       "Name: hr, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hour_df.hr.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "AL-JL_FfNOpr",
    "outputId": "84231daa-987e-40dc-a189-3e827e41e4cc"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Clear            11413\n",
       "Heavy Rain           3\n",
       "Light Snow        1419\n",
       "Mist + Cloudy     4544\n",
       "Name: weathersit, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hour_df.loc[hour_df[\"weathersit\"] == 1, \"weathersit\"] = \"Clear\"\n",
    "hour_df.loc[hour_df[\"weathersit\"] == 2, \"weathersit\"] = \"Mist + Cloudy\"\n",
    "hour_df.loc[hour_df[\"weathersit\"] == 3, \"weathersit\"] = \"Light Snow\"\n",
    "hour_df.loc[hour_df[\"weathersit\"] == 4, \"weathersit\"] = \"Heavy Rain\"\n",
    "\n",
    "hour_df.weathersit.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SCNmtOLp9OKB"
   },
   "source": [
    "## Visualization & Explanatory Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2IUotinsqXPo"
   },
   "source": [
    "### Bagaimana tren penggunaan sepeda pada setiap musim ?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "tags": []
   },
   "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>season</th>\n",
       "      <th>total_users</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Fall</td>\n",
       "      <td>1061129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Springer</td>\n",
       "      <td>471348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Summer</td>\n",
       "      <td>918589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Winter</td>\n",
       "      <td>841613</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     season  total_users\n",
       "0      Fall      1061129\n",
       "1  Springer       471348\n",
       "2    Summer       918589\n",
       "3    Winter       841613"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "byseason_df = day_df.groupby(by=\"season\").agg({\"cnt\": \"sum\"}).reset_index()\n",
    "byseason_df.rename(columns={\"cnt\": \"total_users\"}, inplace=True)\n",
    "byseason_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5))\n",
    "sns.lineplot(\n",
    "    x=\"season\",\n",
    "    y=\"total_users\",\n",
    "    data=byseason_df,\n",
    "    sort=False\n",
    ")\n",
    "plt.title(\"Analisis Tren Penggunaan Sepeda dalam Setiap Musi\", loc=\"center\", fontsize=15)\n",
    "plt.xlabel(\"Season\")\n",
    "plt.ylabel(\"Number of Bike Sharing Users\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_Pxr_SIfq38w"
   },
   "source": [
    "### Bagaimana tren penggunaan bike sharing selama dua tahun terakhir?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "tags": []
   },
   "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>yr</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2011</td>\n",
       "      <td>1243103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012</td>\n",
       "      <td>2049576</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     yr      cnt\n",
       "0  2011  1243103\n",
       "1  2012  2049576"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Menghitung total jumlah penggunaan bike sharing pada setiap tahun\n",
    "byyr_df = day_df.groupby(by=\"yr\").agg({\"cnt\": \"sum\"}).reset_index()\n",
    "byyr_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.barplot(data=byyr_df, x='yr', y='cnt')\n",
    "plt.title(\"Total Bike Sharing Users by Year\", loc=\"center\", fontsize=15)\n",
    "plt.xlabel(\"Year\")\n",
    "plt.ylabel(\"Total Users\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1CWYEwQ66wIp"
   },
   "source": [
    "### Apakah penggunaan sepeda lebih banyak dilakukan pada hari libur atau saat bukan hari libur?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "tags": []
   },
   "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>holiday</th>\n",
       "      <th>sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Holiday</td>\n",
       "      <td>710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Not a Holiday</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         holiday  sum\n",
       "0        Holiday  710\n",
       "1  Not a Holiday   21"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "byholidyday_df = day_df.groupby(by=\"holiday\").instant.nunique().reset_index()\n",
    "byholidyday_df.rename(columns={\n",
    "    \"instant\": \"sum\"\n",
    "}, inplace=True)\n",
    "byholidyday_df[\"holiday\"].replace({0: \"Not a Holiday\", 1: \"Holiday\"}, inplace=True)\n",
    "byholidyday_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\os\\AppData\\Local\\Temp\\ipykernel_16936\\1705558510.py:30: UserWarning: Setting the 'color' property will override the edgecolor or facecolor properties.\n",
      "  centre_circle = plt.Circle(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Mengelompokkan data berdasarkan jenis hari (libur atau tidak libur)\n",
    "byholiday_df = day_df.groupby(by=\"holiday\").agg({\"cnt\": \"sum\"}).reset_index()\n",
    "\n",
    "# Menentukan ukuran gambar\n",
    "plt.figure(figsize=(7, 7))\n",
    "\n",
    "\n",
    "# Membuat pie chart\n",
    "plt.pie(\n",
    "    byholiday_df[\"cnt\"],\n",
    "    labels=[\"Not a Holiday\", \"Holiday\"],\n",
    "    colors=[\"#FFA07A\", \"#87CEFA\"],\n",
    "    startangle=90,\n",
    "    autopct=\"%1.1f%%\",\n",
    "    textprops={\n",
    "        \"fontsize\": 14,\n",
    "        \"fontweight\": \"bold\",\n",
    "    },\n",
    "    wedgeprops={\n",
    "        \"linewidth\": 1.5,\n",
    "        \"edgecolor\": \"white\",\n",
    "    },\n",
    "    radius=0.75,\n",
    "    pctdistance=0.5,\n",
    ")\n",
    "\n",
    "# Membuat donut chart\n",
    "centre_circle = plt.Circle(\n",
    "    (0, 0),\n",
    "    0.5,\n",
    "    color=\"white\",\n",
    "    edgecolor=\"black\",\n",
    "    linewidth=1.5,\n",
    "    fill=False,\n",
    ")\n",
    "\n",
    "# Menambahkan lingkaran ke dalam pie chart\n",
    "fig = plt.gcf()\n",
    "fig.gca().add_artist(centre_circle)\n",
    "\n",
    "# Menambahkan judul dan keterangan sumbu\n",
    "plt.title(\"Proportion of Bike Sharing Users on Holiday vs. Non-Holiday\", fontsize=14, fontweight=\"bold\", pad=20)\n",
    "plt.legend(title=\"\", loc=\"best\", fontsize=12)\n",
    "\n",
    "# Menampilkan gambar\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1CWYEwQ66wIp"
   },
   "source": [
    "### Bagaimana pengaruh cuaca terhadap pengguna bike sharing?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "tags": []
   },
   "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>weathersit</th>\n",
       "      <th>sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Clear</td>\n",
       "      <td>463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Light Snow</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mist + Cloudy</td>\n",
       "      <td>247</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      weathersit  sum\n",
       "0          Clear  463\n",
       "1     Light Snow   21\n",
       "2  Mist + Cloudy  247"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "byweathersit_df = day_df.groupby(by=\"weathersit\").instant.nunique().reset_index()\n",
    "byweathersit_df.rename(columns={\n",
    "    \"instant\": \"sum\"\n",
    "}, inplace=True)\n",
    "byweathersit_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Membuat pie chart untuk persentase penggunaan bike sharing berdasarkan kondisi cuaca\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.title(\"Percentage of Bike Sharing Users by Weather Condition\", fontsize=15)\n",
    "plt.pie(\n",
    "    byweathersit_df[\"sum\"],\n",
    "    labels=byweathersit_df[\"weathersit\"],\n",
    "    autopct=\"%1.1f%%\",\n",
    "    startangle=90,\n",
    ")\n",
    "# plt.axis(\"equal\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "J2CnXYGT9Tc2"
   },
   "source": [
    "## Insight yang diperoleh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "f73FBkLw9V8C"
   },
   "source": [
    "Dari hasil analisis data yang dilakukan, didapatkan beberapa insight sebagai berikut:\n",
    "\n",
    "1. Tren penggunaan sepeda cenderung meningkat pada musim yang lebih hangat seperti musim semi, musim panas, dan musim gugur, sedangkan penggunaan sepeda menurun pada musim dingin.\n",
    "\n",
    "2. Tren penggunaan bike sharing mengalami peningkatan selama dua tahun terakhir, yaitu pada tahun 2012 jumlah pengguna lebih banyak dibandingkan dengan tahun 2011.\n",
    "\n",
    "3. Penggunaan sepeda cenderung lebih banyak dilakukan pada hari-hari libur daripada pada hari biasa.\n",
    "\n",
    "4. Cuaca juga memiliki pengaruh terhadap penggunaan bike sharing, dimana penggunaan bike sharing cenderung lebih tinggi pada hari-hari yang cerah dan kurang pada hari-hari yang berkabut atau bersalju.\n",
    "\n",
    "Dengan demikian, para pemangku kepentingan dalam industri bike sharing dapat mempertimbangkan faktor-faktor tersebut dalam mengambil keputusan strategis terkait bisnis mereka, seperti menentukan lokasi penyediaan sepeda dan menentukan strategi promosi untuk meningkatkan penggunaan sepeda pada musim dingin dan pada hari kerja."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "acfeH5-9huta"
   },
   "source": [
    "## Export Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "BrcIAXu8hyVk",
    "tags": []
   },
   "outputs": [],
   "source": [
    "day_df.to_csv(\"dashboard\\clean_data.csv\", index=False)"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}