bike_sharing_data_analysis.ipynb

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      "source": [
        "# Bike Sharing Data Analysis\n",
        "- **Nama:** NANTHA SEUTIA\n",
        "- **Email:** ombakrinai@gmail.com\n",
        "- **Kaggle Notebook:** [Link](https://www.kaggle.com/code/nantaes/usage-patterns-user-type-peak-hours-anomalies?scriptVersionId=214235244&cellId=1)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Karakteristik Dataset\n",
        "Both hour.csv and day.csv have the following fields, except hr which is not available in day.csv\n",
        "\n",
        "\t- instant: record index\n",
        "\t- dteday : date\n",
        "\t- season : season (1:springer, 2:summer, 3:fall, 4:winter)\n",
        "\t- yr : year (0: 2011, 1:2012)\n",
        "\t- mnth : month ( 1 to 12)\n",
        "\t- hr : hour (0 to 23)\n",
        "\t- holiday : weather day is holiday or not (extracted from http://dchr.dc.gov/page/holiday-schedule)\n",
        "\t- weekday : day of the week\n",
        "\t- workingday : if day is neither weekend nor holiday is 1, otherwise is 0.\n",
        "\t+ weathersit :\n",
        "\t\t- 1: Clear, Few clouds, Partly cloudy, Partly cloudy\n",
        "\t\t- 2: Mist + Cloudy, Mist + Broken clouds, Mist + Few clouds, Mist\n",
        "\t\t- 3: Light Snow, Light Rain + Thunderstorm + Scattered clouds, Light Rain + Scattered clouds\n",
        "\t\t- 4: Heavy Rain + Ice Pallets + Thunderstorm + Mist, Snow + Fog\n",
        "\t- temp : Normalized temperature in Celsius. The values are divided to 41 (max)\n",
        "\t- atemp: Normalized feeling temperature in Celsius. The values are divided to 50 (max)\n",
        "\t- hum: Normalized humidity. The values are divided to 100 (max)\n",
        "\t- windspeed: Normalized wind speed. The values are divided to 67 (max)\n",
        "\t- casual: count of casual users\n",
        "\t- registered: count of registered users\n",
        "\t- cnt: count of total rental bikes including both casual and registered\n",
        "\n",
        "Catatan Tambahan:\n",
        "\n",
        "* 'temp' adalah normalisasi temperatur yang dihitung menggunakan skala. Dalam dataset ini 0 adalah nilai temperatur terendah dan 1 nilai maksimum. Misalkan 'temp' adalah 0,5 berarti suhu tersebut berada di tengah-tengah antara suhu minimum dan maksimum.\n",
        "* 'atemp' adalah variabel perkiraan suhu lingkungan yang dirasa manusia (dipengaruhi oleh temperatur, kelembaban, dan angin) sehingga membuatnya nyaman beraktifitas. Dalam dataset ini diukur menggunakan skala 0-1.\n",
        "* casual untuk selanjutnya akan disebut pelanggan umum\n",
        "* registered untuk selanjutnya akan disebut pelanggan terdaftar\n",
        "* cnt untuk selanjutkan akan disebut total penyewaan\n",
        "\n",
        "Karena informasi pada kedua file tersebut relatif sama dan hanya dibedakan dengan variabel 'hr' untuk 'hour.csv', maka diputuskan untuk menggunakan data 'hour.csv' karena memiliki data yang lebih banyak."
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eE0raob58DC0"
      },
      "source": [
        "## Menentukan Pertanyaan Bisnis"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GmQeQ5YF8DC0"
      },
      "source": [
        "1. Bagaimana perbedaan pola peminjaman sepeda antara pengguna umum (casual) dibandingkan dengan pengguna terdaftar (registered)\n",
        "2. Pada jam-jam berapakah dalam sehari terdapat konsentrasi penyewaan sepeda tertinggi untuk pengguna umum dan pengguna terdaftar.\n",
        "3. Bisakah kita mengenali anomali atau kejadian besar (seperti cuaca ekstrem atau hari libur nasional) berdasarkan lonjakan atau penurunan tiba-tiba dalam jumlah penyewaan sepeda (cnt)?\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H-z4QGlO8DC1"
      },
      "source": [
        "## Import Semua Packages/Library yang Digunakan"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "FVYwaObI8DC1"
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      "source": [
        "# Import necessary libraries\n",
        "import pandas as pd\n",
        "import zipfile\n",
        "import os\n",
        "import requests\n",
        "\n",
        "# Start at cleaning data\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h_Sh51Xy8DC1"
      },
      "source": [
        "## Data Wrangling"
      ]
    },
    {
      "cell_type": "markdown",
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        "id": "sXU2GBYu8DC1"
      },
      "source": [
        "### Gathering Data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
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        "id": "zjCBk1BI8DC1",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "97cdbc25-202a-418e-e00b-aa4d41366f60"
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      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset downloaded successfully!\n",
            "Dataset extracted successfully!\n"
          ]
        }
      ],
      "source": [
        "# Gathering Data\n",
        "# URL of the zip file in your GitHub repository\n",
        "github_url = 'https://github.com/esnanta/data-analysis/raw/main/Dataset/Bike-sharing-dataset.zip'\n",
        "\n",
        "# Path to save the zip file\n",
        "zip_path = '/tmp/Bike-sharing-dataset.zip'\n",
        "\n",
        "# Download the zip file from GitHub\n",
        "response = requests.get(github_url)\n",
        "if response.status_code == 200:\n",
        "    with open(zip_path, 'wb') as file:\n",
        "        file.write(response.content)\n",
        "    print(\"Dataset downloaded successfully!\")\n",
        "else:\n",
        "    print(\"Failed to download the dataset. Check the URL.\")\n",
        "\n",
        "# Extract the zip file to the /tmp directory\n",
        "with zipfile.ZipFile(zip_path, 'r') as zip_ref:\n",
        "    zip_ref.extractall('/tmp')\n",
        "\n",
        "# File paths for the extracted CSV files\n",
        "day_csv_path = '/tmp/day.csv'\n",
        "hour_csv_path = '/tmp/hour.csv'\n",
        "\n",
        "# Verify extraction\n",
        "if os.path.exists(day_csv_path) and os.path.exists(hour_csv_path):\n",
        "    print(\"Dataset extracted successfully!\")\n",
        "else:\n",
        "    print(\"Failed to extract the dataset.\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Read the CSV files using pandas\n",
        "df_hour_data = pd.read_csv(hour_csv_path, delimiter=\",\")\n",
        "\n",
        "# Display the first few rows of each dataframe\n",
        "print(\"\\nHour Data:\")\n",
        "df_hour_data.head()"
      ],
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          "height": 241
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        "outputId": "9a236221-432a-4244-df4b-d4d77aa18e1c"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Hour Data:\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
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              "   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  "
            ],
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-93cd10c1-d00b-45f1-b2ae-bbe70d6892f3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_hour_data",
              "summary": "{\n  \"name\": \"df_hour_data\",\n  \"rows\": 17379,\n  \"fields\": [\n    {\n      \"column\": \"instant\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5017,\n        \"min\": 1,\n        \"max\": 17379,\n        \"num_unique_values\": 17379,\n        \"samples\": [\n          12831,\n          8689,\n          7092\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"dteday\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 731,\n        \"samples\": [\n          \"2012-12-04\",\n          \"2011-02-03\",\n          \"2011-10-28\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"season\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 1,\n        \"max\": 4,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          2,\n          4,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"yr\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mnth\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3,\n        \"min\": 1,\n        \"max\": 12,\n        \"num_unique_values\": 12,\n        \"samples\": [\n          11,\n          10\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hr\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6,\n        \"min\": 0,\n        \"max\": 23,\n        \"num_unique_values\": 24,\n        \"samples\": [\n          8,\n          16\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"holiday\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"weekday\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 0,\n        \"max\": 6,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          6,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"workingday\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"weathersit\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 4,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          2,\n          4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"temp\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.19255612124972407,\n        \"min\": 0.02,\n        \"max\": 1.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          0.16,\n          0.82\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"atemp\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.17185021563536587,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 65,\n        \"samples\": [\n          0.7879,\n          0.9242\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hum\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1929298340629125,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          0.29,\n          0.61\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"windspeed\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.12234022857279413,\n        \"min\": 0.0,\n        \"max\": 0.8507,\n        \"num_unique_values\": 30,\n        \"samples\": [\n          0.8507,\n          0.4925\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"casual\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 49,\n        \"min\": 0,\n        \"max\": 367,\n        \"num_unique_values\": 322,\n        \"samples\": [\n          201,\n          171\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"registered\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 151,\n        \"min\": 0,\n        \"max\": 886,\n        \"num_unique_values\": 776,\n        \"samples\": [\n          342,\n          744\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cnt\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 181,\n        \"min\": 1,\n        \"max\": 977,\n        \"num_unique_values\": 869,\n        \"samples\": [\n          594,\n          46\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight:**\n",
        "<br>Berdasarkan petunjuk dan data yang ditampilkan, maka data dapat dikelompokkan sebagai berikut:\n",
        "- Data kontinu : temp, atemp, hum, windspeed\n",
        "- Data diskret : instant, casual, registered, cnt\n",
        "- Data ordinal : season, weathersit, weekday\n",
        "- Data nominal : dteday, yr, mnth, hr, holiday, workingday."
      ],
      "metadata": {
        "id": "MMi6xGaDkbCi"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FHSiqaZp8DC1"
      },
      "source": [
        "### Assessing Data"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Assessing Data\n",
        "# check info\n",
        "df_hour_data.info()"
      ],
      "metadata": {
        "id": "DEiIX-PSvgc0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "977255a0-1a70-4499-8e9f-95493ef42782"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "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"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Checks whether ordinal and nominal data\n",
        "# have values ​​that match the instructions.\n",
        "# Note : range() function includes the start value but excludes the end value\n",
        "valid_ranges = {\n",
        "    'season': range(1, 5),         # Seasons: 1 to 4\n",
        "    'weathersit': range(1, 5),     # Weather situations: 1 to 4\n",
        "    'weekday': range(0, 7),        # Weekday: 0 (Sunday) to 6 (Saturday)\n",
        "    'yr': [0, 1],                  # Year: 0 (2011), 1 (2012)\n",
        "    'mnth': range(1, 13),          # Months: 1 to 12\n",
        "    'hr' : range(0,24),            # Hour: 24 hour\n",
        "    'holiday': [0, 1],             # Holiday: 0 (No), 1 (Yes)\n",
        "    'workingday': [0, 1],          # Working day: 0 (No), 1 (Yes)\n",
        "}\n",
        "\n",
        "# List of datasets to check\n",
        "datasets = {\n",
        "    \"df_hour_data\": df_hour_data\n",
        "}\n",
        "\n",
        "# Loop through each dataset\n",
        "for dataset_name, dataset in datasets.items():\n",
        "    print(f\"\\nChecking dataset: {dataset_name}\")\n",
        "\n",
        "    # Initialize a report for invalid values\n",
        "    invalid_values_report = {}\n",
        "\n",
        "    # Loop through each variable and check for invalid values\n",
        "    for column, valid_range in valid_ranges.items():\n",
        "        if column in dataset.columns:\n",
        "            # Check for invalid values\n",
        "            invalid_rows = dataset[~dataset[column].isin(valid_range)]\n",
        "            if not invalid_rows.empty:\n",
        "                invalid_values_report[column] = invalid_rows\n",
        "\n",
        "    # Display the results for the current dataset\n",
        "    if not invalid_values_report:\n",
        "        print(\"All ordinal and nominal variables have valid data.\")\n",
        "    else:\n",
        "        print(\"The following variables have invalid data:\")\n",
        "        for column, invalid_rows in invalid_values_report.items():\n",
        "            print(f\"Variable '{column}' has invalid values in the following rows:\")\n",
        "            print(invalid_rows)"
      ],
      "metadata": {
        "id": "bm1QJChxouMh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8fa872f2-8a76-4a6c-d12a-8e66a0194f22"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Checking dataset: df_hour_data\n",
            "All ordinal and nominal variables have valid data.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Check negative values for casual and registered\n",
        "casual_registered_columns = ['casual', 'registered', 'cnt']\n",
        "invalid_casual_registered = df_hour_data[\n",
        "    (df_hour_data['casual'] < 0) | (df_hour_data['registered'] < 0)\n",
        "]\n",
        "\n",
        "if not invalid_casual_registered.empty:\n",
        "    print(\"\\nInvalid values in casual or registered (negative values):\")\n",
        "    print(invalid_casual_registered)\n",
        "else:\n",
        "    print(\"\\nNo invalid values in casual or registered columns.\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SFQgkVK-itNo",
        "outputId": "28e4d5b0-431e-4680-f032-1cd6b68c03b3"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "No invalid values in casual or registered columns.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to check if cnt equals casual + registered\n",
        "def check_discrepancies(df):\n",
        "    \"\"\"\n",
        "    Checks if the 'cnt' column in the dataframe equals the sum of 'casual' and 'registered'.\n",
        "\n",
        "    Args:\n",
        "        df (pd.DataFrame): The dataframe containing 'cnt', 'casual', and 'registered' columns.\n",
        "\n",
        "    Returns:\n",
        "        None: Prints the result of the check.\n",
        "    \"\"\"\n",
        "    discrepancy = df[df['cnt'] != (df['casual'] + df['registered'])]\n",
        "\n",
        "    if not discrepancy.empty:\n",
        "        print(f\"\\nDiscrepancies found in {len(discrepancy)} rows:\")\n",
        "        print(discrepancy)\n",
        "    else:\n",
        "        print(\"\\nNo discrepancies: cnt equals casual + registered for all rows.\")\n",
        "\n",
        "# Check if cnt equals casual + registered\n",
        "check_discrepancies(df_hour_data)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z23-jQJCISj8",
        "outputId": "46c6062a-4327-41ba-e773-d225f5eb11c4"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "No discrepancies: cnt equals casual + registered for all rows.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight**\n",
        "* Tidak ada data yang bernilai null\n",
        "* Terdapat kesalahan tipe data untuk 'dteday' yang seharusnya memiliki tipe data 'date'.\n",
        "* Tidak ditemukan nilai yang tidak sesuai ketentuan pada data ordinal dan nominal\n",
        "* Tidak ada data yang bernilai minus untuk casual, registered, dan cnt\n",
        "* Nilai cnt sudah sesuai (casual+registered)"
      ],
      "metadata": {
        "id": "qujdNqyzA-N6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "summary = df_hour_data.describe()\n",
        "print(summary)"
      ],
      "metadata": {
        "id": "EdMa-JKC_PAE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "60f9abce-5739-47ea-933a-e9460f324e21"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "          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  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight:**\n",
        "- setiap kolom punya data 17379 yang artinya tidak ada missing value.\n",
        "- season, yr, mnth, hr terlihat konsisten berdasarkan jumlah data. Perlu analisa distribusi dengan plot frekuensi jika ingin memahami lebih dalam.\n",
        "- holiday (biner [0,1]) dengan *mean* 0,02 menunjukkan jumlah data hari libur yang sedikit. Hari libur bernilai 1 (true).\n",
        "- weekday Sunday-Saturday (0,6) memiliki *mean* 3. Perlu analisa distribusi dengan plot frekuensi jika ingin memahami lebih dalam.\n",
        "- workingday (biner [0,1]) dengan *mean* 0,6 yang berarti lebih banyak hari kerja. Nilai 1 (true) untuk hari kerja.\n",
        "- weathersit menjelaskan kondisi cuaca dengan rentang 1-4. Nilai *mean* 1,4 menunjukkan kondisi cuaca lebih banyak cerah atau berawan.\n",
        "- temp dan atemp memiliki *mean* 0,4 yang berarti kondisi cuaca berada di tengah-tengah batas minimal (0) dan maksimal (1).\n",
        "- humidity dengan *mean* 0,6 berarti kelembaban cenderung sedang. Nilai Min : 0 berarti kelembaban kering, dan jika 1 berarti saturasi penuh.\n",
        "- windspeed dengan Min 0 dan Max 0,8 memiliki *mean* mendekati 0,2 yang berarti kondisi kecepatan angin rendah.\n",
        "- pelanggan umum (casual) punya kemungkinan cenderung ke kanan (right skewed), karena nilai persentil Q1 adalah 4, jauh lebih kecil dari Q3 yang 48. Nilai Standar Deviasi (49) yang lebih besar dari *mean* (35) menunjukkan data tersebar luas.\n",
        "- pelanggan terdaftar (registered) punya kemungkinan cenderung ke kanan (right skewed), karena nilai persentil Q1 adalah 34, jauh lebih kecil dari Q3 yang 220. Nilai Standar Deviasi (151) yang dekat dengan *mean* (153) menunjukkan variasi data mendekati *mean*.\n",
        "- total sewa (cnt) memiliki variasi sebaran data yang sedang karena Standar Deviasi 181 lebih kecil dan tidak terlalu jauh dari *mean* 189. Nilai Min 1 dan Max 977 menunjukkan rentang yang jauh dan kemungkinan memiliki outlier. Nilai persentil Q1 adalah 40, jauh lebih kecil dari Q3 yang 281, sehingga data ada kemungkinan cenderung ke kanan (right skewed).\n",
        "- Perlu diingat bahwa data total sewa (cnt) adalah : pelanggan umum (casual) + terdaftar (registered)."
      ],
      "metadata": {
        "id": "7dtxhAPrkhPL"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EhN5R4hr8DC1"
      },
      "source": [
        "### Cleaning Data"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Define**\n",
        "\n",
        "Kolom 'dteday' bertipe object, sehingga perlu diubah menjadi 'datetime'."
      ],
      "metadata": {
        "id": "dd8-HKKklooF"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Code**"
      ],
      "metadata": {
        "id": "bHESzH1EV14F"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Cleaning Data\n",
        "# Convert 'dteday' to datetime\n",
        "df_hour_data['dteday'] = pd.to_datetime(df_hour_data['dteday'])"
      ],
      "metadata": {
        "id": "jVnYpprE9Evz"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Test**"
      ],
      "metadata": {
        "id": "M6llD74RV49A"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Verify the change\n",
        "df_hour_data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PKe2aGCSV8KS",
        "outputId": "c66f504a-ed41-4dfa-8d41-a8efd8403a12"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "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  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"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gp-Y6wU38DC1"
      },
      "source": [
        "## Exploratory Data Analysis (EDA)\n",
        "\n",
        "1. Buat visualisasi distribusi data casual dan registered.\n",
        "2. Buat visualisasi box plot data casual dan registered untuk melihat outier.\n",
        "3. Gunakan IQR untuk memperbaiki jika ada outlier.\n",
        "4. Buat visualisi box plot data casual dan registered setelah outlier diperbaiki.\n",
        "5. Buat visualisasi distribusi data casual dan registered setelah outlier diperbaiki."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MW7WF2kr8DC1"
      },
      "source": [
        "### Explore ..."
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 1. Visualize the distribution of casual and registered data\n",
        "sns.histplot(df_hour_data['casual'], kde=True, bins=30, color='blue', label='Casual')\n",
        "sns.histplot(df_hour_data['registered'], kde=True, bins=30, color='orange', label='Registered')\n",
        "plt.legend()\n",
        "plt.title('Distribution of Casual and Registered Data')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "mb9ZIMQAD08L",
        "outputId": "88a56662-d084-4fb8-dfc7-24932f89e986"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight:**\n",
        "\n",
        "**Data Casual (Biru)**\n",
        "1. Ada banyak data dengan frekuensi tinggi di sekitar 0, artinya banyak data dengan sedikit jam rental atau tidak ada rental sama sekali.\n",
        "2. Distribusi data lebih banyak ke kanan dengan nilai rendah. Right-skewed.\n",
        "\n",
        "\n",
        "**Data Registered (Oranye)**\n",
        "1. Pelanggan terdaftar (registered) memiliki sebaran lebih banyak daripada umum (casual).\n",
        "2. Nilai yang berada di sekitar angka 0 lebih sedikit dibanding pelanggan umum (casual), artinya sewa sepeda lebih sering terjadi.\n",
        "3. Distribusi data lebih banyak ke kanan (right skewed) namun puncaknya lebih rendah daripada pelanggan umum (casual)."
      ],
      "metadata": {
        "id": "th_Lzl2Fkj9O"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 2. Visualize Boxplot before fixing outliers\n",
        "sns.boxplot(data=df_hour_data[['casual', 'registered']])\n",
        "plt.title('Boxplot of Casual and Registered Before Outlier Removal')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "0VbdPPRtTF3d",
        "outputId": "491fe202-b042-4c38-e38a-cf821f9e3733"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight:**\n",
        "**Data Casual (Biru)**\n",
        "1. Nilai Median (17) sangat dekat dengan Q1 (4), artinya sebagian data casual berada di rentang yang sangat rendah.\n",
        "2. Bentuk kotak yang kecil menunjukkan tidak banyak varian data.\n",
        "3. Ada outliers di atas batas maksimum. Hal itu menunjukkan adanya permintaan sewa yang tinggi dan tidak biasa.\n",
        "\n",
        "**Data Registered (Biru)**\n",
        "1. Nilai Median (115) berada dekat di tengah kotak, artinya distribusi pelanggan terdaftar (registered) lebih seimbang dibanding pelanggan umum (casual).\n",
        "2. Bentuk kotak yang lebih luas menunjukkan variasi data lebih banyak.\n",
        "3. Ada outliers di atas batas maksimum. Hal itu menunjukkan adanya permintaan sewa yang tinggi dan tidak biasa.\n",
        "4. Batas maksimum pelanggan terdaftar (registered) lebih tinggi dari pelanggan umum (casual), artinya pelanggan terdaftar (registered) lebih sering menyewa sepeda.\n",
        "\n",
        "**Komparasi**\n",
        "\n",
        "* Pelanggan terdaftar (registered) memiliki jangkauan dan variasi jauh lebih tinggi dan konsisten dibandingkan dengan pelanggan umum (casual).\n",
        "* Keduanya mempunyai outliers, tetapi pelanggan terdaftar (registered) lebih panjang."
      ],
      "metadata": {
        "id": "3Gw3qKJUTVgU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 3. Check and mark outliers using IQR\n",
        "# Initialize the 'is_outlier' column with False\n",
        "df_hour_data['is_outlier'] = False\n",
        "\n",
        "for column in ['casual', 'registered']:\n",
        "    Q1 = df_hour_data[column].quantile(0.25)\n",
        "    Q3 = df_hour_data[column].quantile(0.75)\n",
        "    IQR = Q3 - Q1\n",
        "    lower_bound = Q1 - (1.5 * IQR)\n",
        "    upper_bound = Q3 + (1.5 * IQR)\n",
        "\n",
        "    # Identify outliers\n",
        "    outliers = df_hour_data[(df_hour_data[column] < lower_bound) | (df_hour_data[column] > upper_bound)]\n",
        "\n",
        "    # Mark rows with outliers in the 'is_outlier' column\n",
        "    df_hour_data.loc[outliers.index, 'is_outlier'] = True\n",
        "\n",
        "    # Print outlier information\n",
        "    print(f\"Outliers in {column}: {len(outliers)} rows\")\n",
        "    print(f\"Outlier values for {column}:\")\n",
        "    print(outliers[[column]])\n",
        "\n",
        "# Verify the 'is_outlier' column\n",
        "df_hour_data[['casual', 'registered', 'is_outlier']].head()\n",
        "\n",
        "# Optional: Remove outliers if needed for certain analyses (keeping original dataframe intact)\n",
        "df_no_outliers = df_hour_data[df_hour_data['is_outlier'] == False]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J9MNlzrxTfBI",
        "outputId": "bd7bf6e6-4ea8-464b-e3d9-f3ba30721f80"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Outliers in casual: 1192 rows\n",
            "Outlier values for casual:\n",
            "       casual\n",
            "1633      144\n",
            "1634      149\n",
            "1635      124\n",
            "1771      126\n",
            "1772      174\n",
            "...       ...\n",
            "16817     122\n",
            "16818     148\n",
            "16819     164\n",
            "16820     167\n",
            "16821     139\n",
            "\n",
            "[1192 rows x 1 columns]\n",
            "Outliers in registered: 680 rows\n",
            "Outlier values for registered:\n",
            "       registered\n",
            "2995          539\n",
            "3019          532\n",
            "3067          540\n",
            "3187          521\n",
            "3379          524\n",
            "...           ...\n",
            "17063         512\n",
            "17077         665\n",
            "17086         536\n",
            "17087         546\n",
            "17101         585\n",
            "\n",
            "[680 rows x 1 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight:**\n",
        "<br>**Casual (Biru)**\n",
        "\n",
        "* Casual outliers detected: 1,192 rows\n",
        "* Contoh nilai yang masuk outlier 144, 149, 124, 174.\n",
        "* Nilai tersebut terlalu tinggi jika dibandingkan dengan distribusi data di IQR yang *median*-nya (17) sangat dekat dengan Q1 (4).\n",
        "\n",
        "**Registered (Oranye)**\n",
        "* Registered outliers detected: 680 rows\n",
        "* Contoh nilai yang masuk outlier 539, 532, 540, 521.\n",
        "* Nilai tersebut terlalu tinggi jika dibandingkan dengan batas maksimum Q3 (220)."
      ],
      "metadata": {
        "id": "UzppkwQzTl9t"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 4. Visualize after fixing outliers\n",
        "# Gunakan dataframe \"df_no_outliers\" yang sudah dihapus outliernya\n",
        "sns.boxplot(data=df_no_outliers[['casual', 'registered']])\n",
        "plt.title('Boxplot of Casual and Registered After Outlier Removal')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "z_F-mhi0TsY_",
        "outputId": "a437b42e-1927-41dd-e98c-99d0188ecec2"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight:**\n",
        "**Casual (Biru)**\n",
        "\n",
        "* Banyak penggunaan sepeda terkonsentrasi antara 0-50.\n",
        "* Setelah penghapusan outliers, puncak data di sekitar 0 terlihat lebih rendah.\n",
        "\n",
        "**Registered (Oranye)**\n",
        "* Data penggunaan sepeda terlihat lebih menyebar dalam rentang 0-100.\n",
        "* Setelah penghapusan outliers, puncak data di sekitar 0 terlihat lebih rendah."
      ],
      "metadata": {
        "id": "35N1_9pUT6xX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 5. Visualize the distribution of casual and registered data after fixing outliers\n",
        "sns.histplot(df_hour_data['casual'], kde=True, bins=30, color='blue', label='Casual')\n",
        "sns.histplot(df_hour_data['registered'], kde=True, bins=30, color='orange', label='Registered')\n",
        "plt.legend()\n",
        "plt.title('Distribution of Casual and Registered Data After Fixing Outliers')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "pLh6x3DiT0am",
        "outputId": "382ad614-a457-47b3-9d42-3260b20a8b05"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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mWrVq5vH69evj4eHBkSNHbrqdwMBAnn/+efM0R0dHXnvtNdLT0/njjz9KHXtaWhpAoUaqxbm2Zi83N5fz589TvXp1vLy82Lp1q3mel5cXu3fv5uDBg6WO6WbbvXjxIqmpqTz44IMW2yyr9d3seBmNRpYvX06HDh0IDQ01lwsPDycmJqbEMV2+fBk/Pz/8/PyoXr06b775Js2aNePXX3813969cuVKUlJSeP755zl37px50Ol0NGnShLVr1wKmhqo7d+6kW7du5poigIceeoh69erdNBYvLy82bdrE6dOnSxx/gXnz5hEeHk7t2rUtYnz44YcBzDFeG9O17fmUUvzyyy889thjKKUs1hETE0Nqaqr5OC1dupSgoCCLdjcuLi706dOn1HEX5/pz3bWfnaysLM6dO0fTpk0BSvx5vHYdqampnDt3joceeogjR46Qmpp60+VnzZpF48aNqV69OmD6/rZv3/4/3ZSwfft2Dh48yAsvvMD58+fN7/nly5dp1aoVf/75Z6Fzed++fUu1jeHDh7Ny5UqLoaAGrSgjR46kTp06dO/enVdeeYWHHnqo0Hm2OCX53q5atYoOHToQHBxsLle9enXatm170/UXfCZudu50d3c3n2dvl9J8hwp079690JWbW3Uel0t7xUhPT8ff37/Y+c899xxff/01vXv35q233qJVq1Y89dRTPP300yVuwFaxYsVSNZKsUaOGxbhGo6F69ermyyNl5fjx4wQHBxf6QoWHh5vnX+vaH9sC3t7eXLx48abbqVGjRqH3r7jtlERBlXRJb/POzMxk7NixzJgxg1OnTllU51/7AzB69GieeOIJatasSd26dWnTpg1du3a16u4nMN1e/MEHH7B9+3ays7PN063tP6Y067vZ8Tp79iyZmZmFPn8AtWrVKnEi7+TkxG+//QbAyZMnGTdunLmxcIGCE1pBUnK9guNZ8Fko+KG9VvXq1W/6gz9u3Di6d+9OSEgIkZGRtGvXjm7dulG1atWb7sfBgwfZu3dvsZdHkpOTLcbDwsIsxs+ePUtKSgpffvklX3755Q3Xcfz4capXr17ouFlzl1Rxrj/XXbhwgVGjRjFnzpxC+1KSJAjg77//ZsSIEcTFxZGRkVFoHZ6ensUum5KSwtKlS+nfvz+HDh0yT2/WrBm//PILBw4coGbNmiWK41oFn63rG6xfH9u1l5mvP3Y3U69ePaKjo0tcXq/X8+2333Lvvffi5OTEjBkzSvydv9n3Njk5mczMzGK/IzdTcL6/2bnz0qVLN/ytLAul+Q4VKOpY3qrzuCRSRTh58iSpqak3/LA5Ozvz559/snbtWpYsWcKyZcv4v//7Px5++GFWrFhx0+vbBeu41Yr7EhqNxhLFdCsUtx1VgjYGt1rt2rUBUxufktxi++qrrzJjxgwGDBhAVFQUnp6e5r5grv1vtXnz5hw+fJhff/2VFStW8PXXXzNp0iSmT59O7969AdOxKGqfjUajxfhff/3F448/TvPmzfn8888JCgrC0dGRGTNmMHv27FLvc2nXd7uOl06ns/iRiYmJoXbt2rz88sssWrQIwPwe//DDD0X+J3+r7gx69tlnefDBB1mwYAErVqxg/PjxfPzxx8yfP/+m/63n5+dTr149c7uW64WEhFiMX/89L9jHLl26FPujbm1CXlpFneueffZZNmzYwODBg2nYsCFubm7k5+fTpk2bEtW+Hz58mFatWlG7dm0mTpxISEgIer2epUuXMmnSpJuuY968eWRnZzNhwgQmTJhQaP6sWbMYNWpUqfe1YLvjx48v9lxwbe0mlM05+nrLly8HTLV/Bw8eLHHyVtbf24J/YP/9999iyxw/fpy0tDSLGtfb8RtkzXeoqGNZkvN4SUgiVYQffvgB4KaXLbRaLa1ataJVq1ZMnDiRDz/8kHfeeYe1a9cSHR19y3ujvb76USnFoUOHLD4w3t7eRXaQd/z4cYv/tksTW+XKlVm1alWhflz27dtnnn8rVK5cmX///Zf8/HyLWqn/sp22bdui0+n48ccfS9Tg/Oeff6Z79+4WJ/CsrKwi31MfHx969uxJz549SU9Pp3nz5owcOdL8BfT29i7ycub1NWu//PILTk5OLF++HIPBYJ4+Y8aMku5mma7Pz88PZ2fnIqu/9+/fb9U6AYKCghg4cCCjRo1i48aNNG3a1Hypwt/f/4b/2Rd8Fq6tsShQ1LTitv/KK6/wyiuvkJycTKNGjRgzZow5kSruO1KtWjV27NhBq1atrPqO+/n54e7ujtFovGntReXKldm1axdKKYtt/Zf3/VrXn+suXrzI6tWrGTVqFMOHDzeXK+rYF7fvv/32G9nZ2SxatMii1uT6S57FmTVrFnXr1i2yj7gvvviC2bNn3zCRutFxA1OtZmlqjcrSv//+y+jRo+nZsyfbt2+nd+/e7Ny584Y1diXl7++Pk5OT1d+RmjVrUrNmTRYuXMiUKVOKvMT3/fffA/Doo4+ap5XFb9D1SvMdupmbncdLQtpIXWfNmjW8//77hIWF0blz52LLXbhwodC0gv9yCi6lFPQ5cqt6/v3+++8tqll//vlnzpw5Y/EfdLVq1di4cSM5OTnmaYsXL+bEiRMW6ypNbO3atcNoNPLZZ59ZTJ80aRIajaZE19tLol27diQmJvJ///d/5ml5eXl8+umnuLm58dBDD5V6nSEhIbz00kusWLGCTz/9tND8/Px8JkyYwMmTJwHTf3nX/0f36aefFqpFur5HXzc3N6pXr25xGa1atWrs27ePs2fPmqft2LHDfGdnAZ1Oh0ajsdjGsWPHCt39VVJlsb6YmBgWLlxIQkKCefrevXvN/01b69VXX8XFxYWPPvoIMP2ge3h48OGHH5Kbm1uofMF7GRwcTN26dfn+++9JT083z//jjz/YuXPnDbdpNBoLXaLy9/cnODjY4vi5uroWeSnr2Wef5dSpU3z11VeF5mVmZnL58uUbbl+n09GxY0d++eUXdu3aVew+guk7cfr0aYvHQ2VkZBR7OaM0ijrXFdQYXP8dKKqH9+LOIUWtIzU1tUSJ/IkTJ/jzzz959tlnefrppwsNPXv25NChQ2zatKnYdRQXV2RkJNWqVeN///ufxWemwLXv++2Qm5tLjx49CA4OZsqUKcycOZOkpCQGDhx4S9ZfUAO8cOFCi7aAhw4dKtSutTjDhw/n4sWL9O3bt9A5MD4+no8//pi6devSsWNH8/Sy+A26Xmm+QzdSkvN4SZTrGqnff/+dffv2kZeXR1JSEmvWrGHlypVUrlyZRYsW3bADsNGjR/Pnn3/Svn17KleuTHJyMp9//jmVKlXigQceAEwfKC8vL6ZPn467uzuurq40adKk1NfdC/j4+PDAAw/Qs2dPkpKSmDx5MtWrV7fooqF37978/PPPtGnThmeffZbDhw/z448/WjRKLG1sjz32GC1btuSdd97h2LFjNGjQgBUrVvDrr78yYMCAQuu2Vp8+ffjiiy/o0aMH8fHxVKlShZ9//pm///6byZMnl7jB+PUmTJjA4cOHee2115g/fz6PPvoo3t7eJCQkMG/ePPbt22e+dffRRx/lhx9+wNPTk4iICOLi4li1alWhbhsiIiJo0aIFkZGR+Pj4sGXLFvPt9AVefPFFJk6cSExMDL169SI5OZnp06dTp04di8aZ7du3Z+LEibRp04YXXniB5ORkpk6dSvXq1W9YrV6cW70+gFGjRrFs2TIefPBBXnnlFXOCW6dOHavXCVChQgV69uzJ559/zt69ewkPD2fatGl07dqVRo0a0alTJ/z8/EhISGDJkiU0a9bMnNB/+OGHPPHEEzRr1oyePXty8eJFPvvsM+rWrVvkD2WBS5cuUalSJZ5++mkaNGiAm5sbq1atYvPmzRY1kZGRkfzf//0fgwYN4t5778XNzY3HHnuMrl27MnfuXPr27cvatWtp1qwZRqORffv2MXfuXJYvX27R+WVRPvroI9auXUuTJk146aWXiIiI4MKFC2zdupVVq1aZ/1F76aWX+Oyzz+jWrRvx8fEEBQXxww8/mLvhKKmSnus8PDxo3rw548aNIzc3l4oVK7JixQqOHj1aaJ2RkZEAvPPOO3Tq1AlHR0cee+wxWrdujV6v57HHHuPll18mPT2dr776Cn9/f86cOXPDOGfPnm3ubqUo7dq1w8HBgVmzZtGkSZMiy9zo3Pb111/Ttm1b6tSpQ8+ePalYsSKnTp1i7dq1eHh4mNvw3Q4FbRhXr16Nu7s79evXZ/jw4bz77rs8/fTTtGvX7j9vY+TIkaxYsYJmzZrRr18/8z/EdevWLdGjWTp37szmzZuZMmUKe/bsoXPnznh7e7N161a+/fZbKlSowM8//2zRiXNZ/AYVpaTfoRspyXm8RP7zfX93oOs7bdPr9SowMFA98sgjasqUKRa32Re4/hbU1atXqyeeeEIFBwcrvV6vgoOD1fPPP68OHDhgsdyvv/5q7oiPIjrkLEpx3R/89NNPatiwYcrf3185Ozur9u3bW9yOXmDChAmqYsWKymAwqGbNmqktW7YUeSt+cbEVdevppUuX1MCBA1VwcLBydHRUNWrUuGGHnNcr6W37SUlJqmfPnsrX11fp9XpVr169Im+PLWn3BwXy8vLU119/rR588EHl6empHB0dVeXKlVXPnj0tuka4ePGieftubm4qJiZG7du3r1D8H3zwgbrvvvuUl5eXcnZ2VrVr11ZjxoxROTk5Ftv98ccfVdWqVZVer1cNGzZUy5cvL/L9/eabb1SNGjWUwWBQtWvXVjNmzCjytueSvo8lXV9pjtcff/yhIiMjlV6vv2Udciql1OHDh5VOp7PY3tq1a1VMTIzy9PRUTk5Oqlq1aqpHjx5qy5YtFsvOmTNH1a5dWxkMBlW3bl21aNEi1bFjR1W7du1C+1lw63R2drYaPHiwatCggXJ3d1eurq6qQYMGhTqMTE9PVy+88ILy8vIq1KVCTk6O+vjjj1WdOnWUwWBQ3t7eKjIyUo0aNcqi88Li3l+lTJ/12NhYFRISohwdHVVgYKBq1aqVReeYSil1/Phx9fjjjysXFxfl6+urXn/99VJ3yFmac93JkyfVk08+qby8vJSnp6d65pln1OnTp4u8ff/9999XFStWVFqt1uJW/0WLFqn69esrJycnVaVKFfXxxx+rb7/9ttjuEgrUq1dPhYaG3nCfWrRoofz9/VVubm6xn6vizm1KKbVt2zb11FNPqQoVKiiDwaAqV66snn32WbV69WpzmYLP9Y26t7lWaTvkjI+PVw4ODurVV1+1KJOXl6fuvfdeFRwcrC5evGgRy/XrKun3dvXq1eqee+5Rer1eVatWTX399dfqjTfeUE5OTiXaN6VMXSE88sgjytvbWxkMBlW9enX1xhtvFPv+lMVvUFGfv5J8h250bEp6Hr8ZzZUAhRDirtCwYUP8/PxYuXKlrUMRwi516NDhlnbfUt5JGykhxB0pNzeXvLw8i2nr1q1jx44dtGjRwjZBCWFnMjMzLcYPHjzI0qVL5TtyC0mNlBDijnTs2DGio6Pp0qULwcHB7Nu3j+nTp+Pp6cmuXbtu+DgiIcqLoKAgevToQdWqVTl+/DjTpk0jOzubbdu2Fdk3nCi9ct3YXAhx5/L29iYyMpKvv/6as2fP4urqSvv27fnoo48kiRLiijZt2vDTTz+RmJiIwWAgKiqKDz/8UJKoW0hqpIQQQgghrCRtpIQQQgghrCSJlBBCCCGElaSNVAnk5+dz+vRp3N3db/ljX4QQQghRNpRSXLp0ieDgYItHj91KkkiVwOnTpws9iFQIIYQQd4YTJ05QqVKlMlm3TRMpo9HIyJEj+fHHH0lMTCQ4OJgePXrw7rvvmmt+lFKMGDGCr776ipSUFJo1a8a0adMs7ji4cOECr776Kr/99htarZaOHTsyZcoUiyd5//vvv8TGxrJ582b8/Px49dVXGTJkSIniLHg0yYkTJ/Dw8LiF74AQQgghykpaWhohISFWP2KsJGyaSH388cdMmzaN7777jjp16rBlyxZ69uyJp6cnr732GgDjxo3jk08+4bvvviMsLIz33nuPmJgY9uzZY34+VOfOnTlz5gwrV64kNzeXnj170qdPH2bPng2Y3sjWrVsTHR3N9OnT2blzJy+++CJeXl706dPnpnEWJHUeHh6SSAkhhBB3mLJslmPT7g8effRRAgIC+Oabb8zTOnbsiLOzMz/++CNKKYKDg3njjTd48803AdNTxAMCApg5cyadOnVi7969REREsHnzZvODQpctW0a7du04efIkwcHBTJs2jXfeeYfExET0ej0Ab731FgsXLmTfvn03jTMtLQ1PT09SU1MlkRJCCCHuELfj99umd+3df//9rF69mgMHDgCwY8cO1q9fT9u2bQE4evQoiYmJREdHm5fx9PSkSZMmxMXFARAXF4eXl5fF09ajo6PRarVs2rTJXKZ58+bmJAogJiaG/fv3c/HixTLfTyGEEELcnWx6ae+tt94iLS2N2rVro9PpMBqNjBkzhs6dOwOQmJgIQEBAgMVyAQEB5nmJiYn4+/tbzHdwcMDHx8eiTFhYWKF1FMzz9va2mJednU12drZ5PC0t7b/uqhBCCCHuQjZNpObOncusWbOYPXs2derUYfv27QwYMIDg4GC6d+9us7jGjh3LqFGjbLZ9IYQQt4bRaCQ3N9fWYYgypNfry6xrg5KwaSI1ePBg3nrrLTp16gRAvXr1OH78OGPHjqV79+4EBgYCkJSURFBQkHm5pKQkGjZsCEBgYCDJyckW683Ly+PChQvm5QMDA0lKSrIoUzBeUOZaw4YNY9CgQebxglb/Qggh7gxKKRITE0lJSbF1KKKMabVawsLCLJrv3E42TaQyMjIKZZE6nY78/HwAwsLCCAwMZPXq1ebEKS0tjU2bNtGvXz8AoqKiSElJIT4+nsjISADWrFlDfn4+TZo0MZd55513yM3NxdHREYCVK1dSq1atQpf1AAwGAwaDoUz2WQghRNkrSKL8/f1xcXGRzpTvUgUdZp85c4bQ0FCbHGebJlKPPfYYY8aMITQ0lDp16rBt2zYmTpzIiy++CJhuVxwwYAAffPABNWrUMHd/EBwcTIcOHQAIDw+nTZs2vPTSS0yfPp3c3Fz69+9Pp06dCA4OBuCFF15g1KhR9OrVi6FDh7Jr1y6mTJnCpEmTbLXrQgghyojRaDQnURUqVLB1OKKM+fn5cfr0afLy8syVJbeTTROpTz/9lPfee49XXnmF5ORkgoODefnllxk+fLi5zJAhQ7h8+TJ9+vQhJSWFBx54gGXLlpn7kAKYNWsW/fv3p1WrVuYOOT/55BPzfE9PT1asWEFsbCyRkZH4+voyfPjwEvUhJYQQ4s5S0CbKxcXFxpGI26Hgkp7RaLRJImXTfqTuFNKPlBBC3DmysrI4evQoYWFhFv90i7vTjY73Xd+PlBBCCCHEnUweWiyEEKLcSEhI4Ny5c7dte76+voSGht627d0uVapUYcCAAQwYMMDWodicJFJCCCHKhYSEBGrXDiczM+O2bdPZ2YV9+/aWKplKTExkzJgxLFmyhFOnTuHv70/Dhg0ZMGAArVq1KsNohTUkkRJCCFEunDt3jszMDJ588kf8/MLLfHtnz+5lwYIunDt3rsSJ1LFjx2jWrBleXl6MHz+eevXqkZuby/Lly4mNjS3R82HF7SWJlBBCiHLFzy+coKBGtg6jSK+88goajYZ//vkHV1dX8/Q6deqYuwaaOHEiM2bM4MiRI/j4+PDYY48xbtw43NzcADh+/Dj9+/dn/fr15OTkUKVKFcaPH0+7du2YOXMmAwYMsOiodOHChTz55JMU3Ht2+PBhBg0axMaNG7l8+TLh4eGMHTvW4rm34ipJpOxAcdfs79Zr60IIIQq7cOECy5YtY8yYMRZJVAEvLy/A1JP3J598QlhYGEeOHOGVV15hyJAhfP755wDExsaSk5PDn3/+iaurK3v27DEnWSWRnp5Ou3btGDNmDAaDge+//57HHnuM/fv3y29SESSRsrEbXbO35tq6EEKIO9OhQ4dQSlG7du0blru2gXeVKlX44IMP6Nu3rzmRSkhIoGPHjtSrVw+AqlWrliqOBg0a0KBBA/P4+++/z4IFC1i0aBH9+/cv1brKA0mkbKy4a/bWXFsXQghx5yppt46rVq1i7Nix7Nu3j7S0NPLy8sjKyiIjIwMXFxdee+01+vXrx4oVK4iOjqZjx47Ur1+/xHGkp6czcuRIlixZwpkzZ8jLyyMzM5OEhARrd+2uJv1I2YmCa/YFw+1oCCmEEMJ+1KhRA41Gc8MG5ceOHePRRx+lfv36/PLLL8THxzN16lQAcnJyAOjduzdHjhyha9eu7Ny5k8aNG/Ppp58CpsuC1ydsBT3BF3jzzTdZsGABH374IX/99Rfbt2+nXr165vULS5JICSGEEHbAx8eHmJgYpk6dyuXLlwvNT0lJIT4+nvz8fCZMmEDTpk2pWbMmp0+fLlQ2JCSEvn37Mn/+fN544w2++uorwPRcukuXLlmsf/v27RbL/v333/To0YMnn3ySevXqERgYyLFjx27pvt5NJJESQggh7MTUqVMxGo3cd999/PLLLxw8eJC9e/fyySefEBUVRfXq1cnNzeXTTz/lyJEj/PDDD0yfPt1iHQMGDGD58uUcPXqUrVu3snbtWsLDTVc5mjRpgouLC2+//TaHDx9m9uzZzJw502L5GjVqMH/+fLZv386OHTt44YUXyM/Pv11vwR1H2kgJIYQoV86e3Wu326latSpbt25lzJgxvPHGG5w5cwY/Pz8iIyOZNm0aDRo0YOLEiXz88ccMGzaM5s2bM3bsWLp162Zeh9FoJDY2lpMnT+Lh4UGbNm2YNGkSYKr1+vHHHxk8eDBfffUVrVq1YuTIkfTp08e8/MSJE3nxxRe5//778fX1ZejQoaSlpf33N+QuJQ8tLoGyfOjh1q1biYyMpE+feIt+Tc6c2cqXX0YSHx9Po0b22d+JEELYo+IeYnun9GwuSsfWDy2WGikhhBDlQmhoKPv27ZVn7YlbShIpIYQQ5UZoaKgkNuKWksbmQgghhBBWkkRKCCGEEMJKkkgJIYQQQlhJEikhhBBCCCtJIiWEEEIIYSVJpIQQQgghrCSJlBBCCCGElaQfKSGEEOVGQkJCue+Qc+bMmQwYMICUlBRbh1Ii9h6vJFJCCCHKhYSEBMLDa5ORkXnbtuni4szevftKnEz16NGD7777DgAHBwcqVarEM888w+jRows9/sRazz33HO3atStRWXtPYuyBJFJCCCHKhXPnzpGRkcmPHz5JeFW/Mt/e3iNn6fL2As6dO1eqWqk2bdowY8YMcnNziY+Pp3v37mg0Gj7++ONbEpezszPOzs63ZF0lZTQa0Wg0aLV3X4uiu2+PhBBCiBsIr+pHo/CgMh+sTdYMBgOBgYGEhITQoUMHoqOjWblyJQD5+fmMHTuWsLAwnJ2dadCgAT///LPF8osWLaJGjRo4OTnRsmVLvvvuOzQajblWaebMmXh5eZnL79ixg5YtW+Lu7o6HhweRkZFs2bKFdevW0bNnT1JTU9FoNGg0GkaOHAlAdnY2b775JhUrVsTV1ZUmTZqwbt068zoLtrFo0SIiIiIwGAwkJCTcdLmCZUNDQ3FxceHJJ5/k/PnzVr2Pt4skUkIIIYSd2rVrFxs2bECv1wMwduxYvv/+e6ZPn87u3bsZOHAgXbp04Y8//gDg6NGjPP3003To0IEdO3bw8ssv884779xwG507d6ZSpUps3ryZ+Ph43nrrLRwdHbn//vuZPHkyHh4enDlzhjNnzvDmm28C0L9/f+Li4pgzZw7//vsvzzzzDG3atOHgwYPm9WZkZPDxxx/z9ddfs3v3bvz9/W+63KZNm+jVqxf9+/dn+/bttGzZkg8++KAs3tpbRi7tCSGEEHZk8eLFuLm5kZeXR3Z2Nlqtls8++4zs7Gw+/PBDVq1aRVRUFABVq1Zl/fr1fPHFFzz00EN88cUX1KpVi/HjxwNQq1Ytdu3axZgxY4rdXkJCAoMHD6Z27doA1KhRwzzP09MTjUZDYGCgRfkZM2aQkJBAcHAwAG+++SbLli1jxowZfPjhhwDk5uby+eef06BBgxIvN2XKFNq0acOQIUMAqFmzJhs2bGDZsmW35L0tC5JICSGEEHakZcuWTJs2jcuXLzNp0iQcHBzo2LEju3fvJiMjg0ceecSifE5ODvfccw8A+/fv595777WYf999991we4MGDaJ379788MMPREdH88wzz1CtWrViy+/cuROj0UjNmjUtpmdnZ1OhQgXzuF6vp379+qVabu/evTz55JMW86OioiSREkIIIUTJuLq6Ur16dQC+/fZbGjRowDfffEPdunUBWLJkCRUrVrRYxmAwWL29kSNH8sILL7BkyRJ+//13RowYwZw5cwolNAXS09PR6XTEx8ej0+ks5rm5uZlfOzs7o9FoSr3cnUYSKSGEEMJOabVa3n77bQYNGsSBAwfMjbYfeuihIsvXqlWLpUuXWkzbvHnzTbdTs2ZNatasycCBA3n++eeZMWMGTz75JHq9HqPRaFH2nnvuwWg0kpyczIMPPljifSnJcuHh4WzatMli2saNG0u8DVuQxuZCCCGEHXvmmWfQ6XR88cUXvPnmmwwcOJDvvvuOw4cPs3XrVj799FNz31Mvv/wy+/btY+jQoRw4cIC5c+cyc+ZMAIvaoQKZmZn079+fdevWcfz4cf7++282b95MeHg4AFWqVCE9PZ3Vq1df6T4ig5o1a9K5c2e6devG/PnzOXr0KP/88w9jx45lyZIlxe5HSZZ77bXXWLZsGf/73/84ePAgn332mV1f1gOpkRJCCFHO7D1y9o7ajoODA/3792fcuHEcPXoUPz8/xo4dy5EjR/Dy8qJRo0a8/fbbAISFhfHzzz/zxhtvMGXKFKKionjnnXfo169fkZf/dDod58+fp1u3biQlJeHr68tTTz3FqFGjALj//vvp27cvzz33HOfPn2fEiBGMHDmSGTNm8MEHH/DGG29w6tQpfH19adq0KY8++ugN9+VmyzVt2pSvvvqKESNGMHz4cKKjo3n33Xd5//33b8l7WRY0Sill6yDsXVpaGp6enqSmpuLh4XFL171161YiIyPp0yeeoKBG5ulnzmzlyy8jiY+Pp1GjRjdYgxBCiGtlZWVx9OhRwsLCLHoDvxN6Ni8LY8aMYfr06Zw4ccJmMZSl4o43lO3vdwGpkRJCCFEuhIaGsnfvvrv+WXuff/459957LxUqVODvv/9m/Pjx9O/f/7bGUJ7YNJGqUqUKx48fLzT9lVdeYerUqWRlZfHGG28wZ84csrOziYmJ4fPPPycgIMBcNiEhgX79+rF27Vrc3Nzo3r07Y8eOxcHh6q6tW7eOQYMGsXv3bkJCQnj33Xfp0aPH7dhFIYQQdiQ0NNTuHiJ8qx08eJAPPviACxcuEBoayhtvvMGwYcNsHdZdy6aJ1ObNmy3uBti1axePPPIIzzzzDAADBw5kyZIlzJs3D09PT/r3789TTz3F33//DZie3dO+fXsCAwPZsGEDZ86coVu3bjg6Opo7BDt69Cjt27enb9++zJo1i9WrV9O7d2+CgoKIiYm5/TsthBBClKFJkyYxadIkW4dRbtg0kfLzs3wO0UcffUS1atV46KGHSE1N5ZtvvmH27Nk8/PDDgKmRWnh4OBs3bqRp06asWLGCPXv2sGrVKgICAmjYsCHvv/8+Q4cOZeTIkej1eqZPn05YWBgTJkwATLdWrl+/nkmTJkkiJYQQQoj/xG66P8jJyeHHH3/kxRdfRKPREB8fT25uLtHR0eYytWvXJjQ0lLi4OADi4uKoV6+exaW+mJgY0tLS2L17t7nMtesoKFOwjqJkZ2eTlpZmMQghhLizyL1U5YOtj7PdJFILFy4kJSXF3HYpMTERvV5v8YRqgICAABITE81lrk2iCuYXzLtRmbS0NDIzi75zY+zYsXh6epqHkJCQ/7p7QgghbhNHR0fA9NBccffLyckBKNRb+u1iN3ftffPNN7Rt29b8IENbGjZsGIMGDTKPp6WlSTIlhBB3CJ1Oh5eXF8nJyQC4uLgU2RmluPPl5+dz9uxZXFxcLG4yu53sIpE6fvw4q1atYv78+eZpgYGB5OTkkJKSYlErlZSUZH4KdWBgIP/884/FupKSkszzCv4WTLu2jIeHB87OzkXGYzAY/tNzi4QQQthWwW9AQTIl7l5arZbQ0FCbJct2kUjNmDEDf39/2rdvb54WGRmJo6Mjq1evpmPHjoDpqdYJCQlERUUBpidCjxkzhuTkZPz9/QFYuXIlHh4eREREmMtc/9yhlStXmtchhBDi7qPRaAgKCsLf35/c3FxbhyPKkF6vR6u1XUslmydS+fn5zJgxg+7du1tUy3l6etKrVy8GDRqEj48PHh4evPrqq0RFRdG0aVMAWrduTUREBF27dmXcuHEkJiby7rvvEhsba65R6tu3L5999hlDhgzhxRdfZM2aNcydO/eGzwMSQghxd9DpdDZrOyPKB5snUqtWrSIhIYEXX3yx0LxJkyah1Wrp2LGjRYecBXQ6HYsXL6Zfv35ERUXh6upK9+7dGT16tLlMWFgYS5YsYeDAgUyZMoVKlSrx9ddfS9cHQgghhPjPbJ5ItW7duthbF52cnJg6dSpTp04tdvnKlSsXunR3vRYtWrBt27b/FKcQQgghxPXspvsDIYQQQog7jSRSQgghhBBWkkRKCCGEEMJKkkgJIYQQQlhJEikhhBBCCCtJIiWEEEIIYSVJpIQQQgghrCSJlBBCCCGElSSREkIIIYSwkiRSQgghhBBWkkRKCCGEEMJKkkgJIYQQQlhJEikhhBBCCCtJIiWEEEIIYSVJpIQQQgghrCSJlBBCCCGElSSREkIIIYSwkiRSQgghhBBWkkRKCCGEEMJKkkgJIYQQQlhJEikhhBBCCCtJIiWEEEIIYSVJpIQQQgghrCSJlBBCCCGElSSREkIIIYSwkiRSQgghhBBWkkRKCCGEEMJKkkgJIYQQQlhJEikhhBBCCCtJIiWEEEIIYSVJpIQQQgghrCSJlBBCCCGElSSREkIIIYSwkiRSQgghhBBWsnkiderUKbp06UKFChVwdnamXr16bNmyxTxfKcXw4cMJCgrC2dmZ6OhoDh48aLGOCxcu0LlzZzw8PPDy8qJXr16kp6dblPn333958MEHcXJyIiQkhHHjxt2W/RNCCCHE3cumidTFixdp1qwZjo6O/P777+zZs4cJEybg7e1tLjNu3Dg++eQTpk+fzqZNm3B1dSUmJoasrCxzmc6dO7N7925WrlzJ4sWL+fPPP+nTp495flpaGq1bt6Zy5crEx8czfvx4Ro4cyZdffnlb91cIIYQQdxcHW278448/JiQkhBkzZpinhYWFmV8rpZg8eTLvvvsuTzzxBADff/89AQEBLFy4kE6dOrF3716WLVvG5s2bady4MQCffvop7dq143//+x/BwcHMmjWLnJwcvv32W/R6PXXq1GH79u1MnDjRIuESQgghhCgNm9ZILVq0iMaNG/PMM8/g7+/PPffcw1dffWWef/ToURITE4mOjjZP8/T0pEmTJsTFxQEQFxeHl5eXOYkCiI6ORqvVsmnTJnOZ5s2bo9frzWViYmLYv38/Fy9eLOvdFEIIIcRdyqaJ1JEjR5g2bRo1atRg+fLl9OvXj9dee43vvvsOgMTERAACAgIslgsICDDPS0xMxN/f32K+g4MDPj4+FmWKWse127hWdnY2aWlpFoMQQgghxPVsemkvPz+fxo0b8+GHHwJwzz33sGvXLqZPn0737t1tFtfYsWMZNWqUzbYvhBBCiDuDTWukgoKCiIiIsJgWHh5OQkICAIGBgQAkJSVZlElKSjLPCwwMJDk52WJ+Xl4eFy5csChT1Dqu3ca1hg0bRmpqqnk4ceKEtbsohBBCiLuYTROpZs2asX//fotpBw4coHLlyoCp4XlgYCCrV682z09LS2PTpk1ERUUBEBUVRUpKCvHx8eYya9asIT8/nyZNmpjL/Pnnn+Tm5prLrFy5klq1alncIVjAYDDg4eFhMQghhBBCXM+midTAgQPZuHEjH374IYcOHWL27Nl8+eWXxMbGAqDRaBgwYAAffPABixYtYufOnXTr1o3g4GA6dOgAmGqw2rRpw0svvcQ///zD33//Tf/+/enUqRPBwcEAvPDCC+j1enr16sXu3bv5v//7P6ZMmcKgQYNstetCCCGEuAvYtI3Uvffey4IFCxg2bBijR48mLCyMyZMn07lzZ3OZIUOGcPnyZfr06UNKSgoPPPAAy5Ytw8nJyVxm1qxZ9O/fn1atWqHVaunYsSOffPKJeb6npycrVqwgNjaWyMhIfH19GT58uHR9IIQQQoj/RKOUUrYOwt6lpaXh6elJamrqLb/Mt3XrViIjI+nTJ56goEbm6WfObOXLLyOJj4+nUaNGN1iDEEIIIYpSlr/fBWz+iBghhBBCiDuVJFJCCCGEEFaSREoIIYQQwkqSSAkhhBBCWEkSKSGEEEIIK0kiJYQQQghhJUmkhBBCCCGsJImUEEIIIYSVJJESQgghhLCSJFJCCCGEEFaSREoIIYQQwkqSSAkhhBBCWEkSKSGEEEIIK0kiJYQQQghhJUmkhBBCCCGsJImUEEIIIYSVJJESQgghhLCSJFJCCCGEEFaSREoIIYQQwkqSSAkhhBBCWEkSKSGEEEIIK0kiJYQQQghhJUmkhBBCCCGsJImUEEIIIYSVJJESQgghhLCSJFJCCCGEEFaSREoIIYQQwkqSSAkhhBBCWEkSKSGEEEIIK0kiJYQQQghhJUmkhBBCCCGsJImUEEIIIYSVJJESQgghhLCSJFJCCCGEEFaSREoIIYQQwko2TaRGjhyJRqOxGGrXrm2en5WVRWxsLBUqVMDNzY2OHTuSlJRksY6EhATat2+Pi4sL/v7+DB48mLy8PIsy69ato1GjRhgMBqpXr87MmTNvx+6VSn4+bN4MZ87YOhIhhBBClJTNa6Tq1KnDmTNnzMP69evN8wYOHMhvv/3GvHnz+OOPPzh9+jRPPfWUeb7RaKR9+/bk5OSwYcMGvvvuO2bOnMnw4cPNZY4ePUr79u1p2bIl27dvZ8CAAfTu3Zvly5ff1v28mVWrwli6FBYvtnUkQgghhCgpB5sH4OBAYGBgoempqal88803zJ49m4cffhiAGTNmEB4ezsaNG2natCkrVqxgz549rFq1ioCAABo2bMj777/P0KFDGTlyJHq9nunTpxMWFsaECRMACA8PZ/369UyaNImYmJjbuq/FC+fYMW8ATp8GpWwcjhBCCCFKxOY1UgcPHiQ4OJiqVavSuXNnEhISAIiPjyc3N5fo6Ghz2dq1axMaGkpcXBwAcXFx1KtXj4CAAHOZmJgY0tLS2L17t7nMtesoKFOwjqJkZ2eTlpZmMZStqhZjWVllvDkhhBBC3BI2TaSaNGnCzJkzWbZsGdOmTePo0aM8+OCDXLp0icTERPR6PV5eXhbLBAQEkJiYCEBiYqJFElUwv2DejcqkpaWRmZlZZFxjx47F09PTPISEhNyK3b0Bf4uxixfLeHNCCCGEuCVsemmvbdu25tf169enSZMmVK5cmblz5+Ls7GyzuIYNG8agQYPM42lpaWWcTFkmeikp4O1dhpsTQgghxC1h80t71/Ly8qJmzZocOnSIwMBAcnJySElJsSiTlJRkblMVGBhY6C6+gvGblfHw8Cg2WTMYDHh4eFgMZUtqpIQQQog7kV0lUunp6Rw+fJigoCAiIyNxdHRk9erV5vn79+8nISGBqKgoAKKioti5cyfJycnmMitXrsTDw4OIiAhzmWvXUVCmYB32wVQj5XClfvC63FEIIYQQdsqmidSbb77JH3/8wbFjx9iwYQNPPvkkOp2O559/Hk9PT3r16sWgQYNYu3Yt8fHx9OzZk6ioKJo2bQpA69atiYiIoGvXruzYsYPly5fz7rvvEhsbi8FgAKBv374cOXKEIUOGsG/fPj7//HPmzp3LwIEDbbnr1zHVSFWqZBqTREoIIYS4M9i0jdTJkyd5/vnnOX/+PH5+fjzwwANs3LgRPz8/ACZNmoRWq6Vjx45kZ2cTExPD559/bl5ep9OxePFi+vXrR1RUFK6urnTv3p3Ro0eby4SFhbFkyRIGDhzIlClTqFSpEl9//bUddX0ABYmUvz8cOwYZGbaNRgghhBAlY9NEas6cOTec7+TkxNSpU5k6dWqxZSpXrszSpUtvuJ4WLVqwbds2q2K8PUyX9nx9TWPF3EwohBBCCDtjV22kyiOjEcCUQV2piJNESgghhLhDSCJlY6mpDoAOgAoVTNOyskzP3hNCCCGEfZNEysZSUkxXVw2GPFxcrk7PydHZKCIhhBBClJQkUjaWkWE6BI6ORnQ60OtN07Ozbf4YRCGEEELchCRSNnY1kTJdyyvoIzQ7W2qkhBBCCHsniZSNZWaaEqbCiZTUSAkhhBD2ThIpG7v20h5IjZQQQghxJ5FEysYyM02HwMHBVCPl5GSaLomUEEIIYf8kkbKxjAy5tCeEEELcqSSRsrHiLu1lZUmNlBBCCGHvJJGyseIam+fkSI2UEEIIYe8kkbKxghqp69tISY2UEEIIYf8kkbKxgsbmBZf2DAbT9NxcSaSEEEIIeyeJlI1d39hcEikhhBDiziGJlI1d37N5QSKVkyOHRgghhLB38mttY3JpTwghhLhzSSJlYwWX9goam1+tkZJESgghhLB3kkjZWHE1UkajFnC0UVRCCCGEKAmrEqmqVaty/vz5QtNTUlKoWrXqfw6qPCmujZSJ++0PSAghhBAlZlUidezYMYxGY6Hp2dnZnDp16j8HVZ5cf9eeVguO5oooD9sEJYQQQogSKVX32YsWLTK/Xr58OZ6enuZxo9HI6tWrqVKlyi0L7m5nNEJ2tuWlPTDVSuXmgtRICSGEEPatVIlUhw4dANBoNHTv3t1inqOjI1WqVGHChAm3LLi73eXLV18XNDYHUyKVng5SIyWEEELYt1IlUvn5ph/7sLAwNm/ejK+vb5kEVV6YkiWAPHQ6ZZ6u1xe8kkRKCCGEsGdWtZE6evSoJFG3gIcHjB59DOiLRnN1+tUG55JICSGEEPasVDVS11q9ejWrV68mOTnZXFNV4Ntvv/3PgZUHbm7Qvv0Fhg//BnjFPF0SKSGEEOLOYFUiNWrUKEaPHk3jxo0JCgpCc211ivjPJJESQggh7gxWJVLTp09n5syZdO3a9VbHI5BESgghhLhTWNVGKicnh/vvv/9WxyKukERKCCGEuDNYlUj17t2b2bNn3+pYxBWSSAkhhBB3Bqsu7WVlZfHll1+yatUq6tevj6Oj5TPhJk6ceEuCK68kkRJCCCHuDFYlUv/++y8NGzYEYNeuXRbzpOH5fyeJlBBCCHFnsCqRWrt27a2OQ1xDEikhhBDizmBVGylRtiSREkIIIe4MVtVItWzZ8oaX8NasWWN1QOL6RCrLhpEIIYQQ4kasqpFq2LAhDRo0MA8RERHk5OSwdetW6tWrZ1UgH330ERqNhgEDBpinZWVlERsbS4UKFXBzc6Njx44kJSVZLJeQkED79u1xcXHB39+fwYMHk5eXZ1Fm3bp1NGrUCIPBQPXq1Zk5c6ZVMd4uUiMlhBBC3BmsqpGaNGlSkdNHjhxJ+tUn8ZbY5s2b+eKLL6hfv77F9IEDB7JkyRLmzZuHp6cn/fv356mnnuLvv/8GwGg00r59ewIDA9mwYQNnzpyhW7duODo68uGHHwKm5wK2b9+evn37MmvWLFavXk3v3r0JCgoiJiam1LHeDlcTKTeue/qOEEIIIeyI1c/aK0qXLl247777+N///lfiZdLT0+ncuTNfffUVH3zwgXl6amoq33zzDbNnz+bhhx8GYMaMGYSHh7Nx40aaNm3KihUr2LNnD6tWrSIgIICGDRvy/vvvM3ToUEaOHIler2f69OmEhYUxYcIEAMLDw1m/fj2TJk2yq0Tq3Lm95td5eRrgHkDL9u0H0d6g3tDX15fQ0NAyj08IIYQQhd3SRCouLg4nJ6dSLRMbG0v79u2Jjo62SKTi4+PJzc0lOjraPK127dqEhoYSFxdH06ZNiYuLo169egQEBJjLxMTE0K9fP3bv3s0999xDXFycxToKylx7CdGWzpw5gwaYP7/LdXNyAEdeemkQcLrY5V1cnNm7d58kU0IIIYQNWJVIPfXUUxbjSinOnDnDli1beO+990q8njlz5rB161Y2b95caF5iYiJ6vR4vLy+L6QEBASQmJprLXJtEFcwvmHejMmlpaWRmZuLs7Fxo29nZ2WRnZ5vH09LSSrxPpZWSkoICBj3TklpVapinD/wki4xsR758pyOR9bKLXHbvkbN0eXsB586dk0RKCCGEsAGrEilPT0+Lca1WS61atRg9ejStW7cu0TpOnDjB66+/zsqVK0tdi1XWxo4dy6hRo27rNkP8vKkZEmQed3PJJiPbnWC/IBqFF51ICSGEEMK2rEqkZsyY8Z83HB8fT3JyMo0aNTJPMxqN/Pnnn3z22WcsX76cnJwcUlJSLGqlkpKSCAwMBCAwMJB//vnHYr0Fd/VdW+b6O/2SkpLw8PAosjYKYNiwYQwaNMg8npaWRkhIiPU7awUXQyYAlzKcAUmkhBBCCHv0n9pIxcfHs3evqZF0nTp1uOeee0q8bKtWrdi5c6fFtJ49e1K7dm2GDh1KSEgIjo6OrF69mo4dOwKwf/9+EhISiIqKAiAqKooxY8aQnJyMv78/ACtXrsTDw4OIiAhzmaVLl1psZ+XKleZ1FMVgMGC4euucTbgYTP1HpWfYV22dEEIIIa6yKpFKTk6mU6dOrFu3zlxblJKSQsuWLZkzZw5+fn43XYe7uzt169a1mObq6kqFChXM03v16sWgQYPw8fHBw8ODV199laioKJo2bQpA69atiYiIoGvXrowbN47ExETeffddYmNjzYlQ3759+eyzzxgyZAgvvvgia9asYe7cuSxZssSaXb9tChIpU42UEEIIIeyRVR1yvvrqq1y6dIndu3dz4cIFLly4wK5du0hLS+O11167ZcFNmjSJRx99lI4dO9K8eXMCAwOZP3++eb5Op2Px4sXodDqioqLo0qUL3bp1Y/To0eYyYWFhLFmyhJUrV9KgQQMmTJjA119/bVddHxTF2cl0aU9qpIQQQgj7ZVWN1LJly1i1ahXh4eHmaREREUydOrXEjc2Lsm7dOotxJycnpk6dytSpU4tdpnLlyoUu3V2vRYsWbNu2zeq4bMFcI3VZEikhhBDCXllVI5Wfn4+jo2Oh6Y6OjuRLV9y3hFzaE0IIIeyfVYnUww8/zOuvv87p01c7ijx16hQDBw6kVatWtyy48szZIJf2hBBCCHtnVSL12WefkZaWRpUqVahWrRrVqlUjLCyMtLQ0Pv3001sdY7nk4lRQIyWJlBBCCGGvrGojFRISwtatW1m1ahX79u0DTM+wu/5RLMJ6V7s/kEt7QgghhL0qVY3UmjVriIiIIC0tDY1GwyOPPMKrr77Kq6++yr333kudOnX466+/yirWcuVqh5xSIyWEEELYq1IlUpMnT+all17Cw8Oj0DxPT09efvllJk6ceMuCK8+cr1zaS8+UREoIIYSwV6VKpHbs2EGbNm2Knd+6dWvi4+P/c1Diao2UNDYXQggh7FepEqmkpKQiuz0o4ODgwNmzZ/9zUAKcDabn60n3B0IIIYT9KlUiVbFiRXbt2lXs/H///ZegoKD/HJSwrJFSysbBCCGEEKJIpUqk2rVrx3vvvUdWVlaheZmZmYwYMYJHH330lgVXnhXctZeb50B2zn96trQQQgghykipfqHfffdd5s+fT82aNenfvz+1atUCYN++fUydOhWj0cg777xTJoGWN076bPPrtHQDToY8G0YjhBBCiKKUKpEKCAhgw4YN9OvXj2HDhqGuXHPSaDTExMQwdepUAgICyiTQ8karVegd0sjJ8yDtsgH/CpdtHZIQQgghrlPqa0YFDwm+ePEihw4dQilFjRo18Pb2Lov4yjXDNYmUEEIIIeyP1Y1vvL29uffee29lLOI6Bsc0LmWZLu0JIYQQwv5Y9aw9cXsYHNIApEZKCCGEsFOSSNkxg+OVREpqpIQQQgi7JImUHZMaKSGEEMK+SSJlx6RGSgghhLBvkkjZMamREkIIIeybJFJ2TGqkhBBCCPsmiZQdK6iRupSht3EkQgghhCiKJFJ2TGqkhBBCCPsmiZQdkzZSQgghhH2TRMqO6R0uAZJICSGEEPZKEik7Jpf2hBBCCPsmiZQdk0t7QgghhH2TRMqOSY2UEEIIYd8kkbJjBTVSGVl68vLkUAkhhBD2Rn6d7ZjB8ZL5tfQlJYQQQtgfSaTsmE6bi5M+B5DLe0IIIYQ9kkTKzrm5ZAHS4FwIIYSwR5JI2Tl3l0xAaqSEEEIIeySJlJ2TGikhhBDCfkkiZefcCxIpqZESQggh7I4kUnbOreDSntRICSGEEHbHponUtGnTqF+/Ph4eHnh4eBAVFcXvv/9unp+VlUVsbCwVKlTAzc2Njh07kpSUZLGOhIQE2rdvj4uLC/7+/gwePJi8vDyLMuvWraNRo0YYDAaqV6/OzJkzb8fu3RIFNVKp6U42jkQIIYQQ17NpIlWpUiU++ugj4uPj2bJlCw8//DBPPPEEu3fvBmDgwIH89ttvzJs3jz/++IPTp0/z1FNPmZc3Go20b9+enJwcNmzYwHfffcfMmTMZPny4uczRo0dp3749LVu2ZPv27QwYMIDevXuzfPny276/1vByvwzAxTRJpIQQQgh742DLjT/22GMW42PGjGHatGls3LiRSpUq8c033zB79mwefvhhAGbMmEF4eDgbN26kadOmrFixgj179rBq1SoCAgJo2LAh77//PkOHDmXkyJHo9XqmT59OWFgYEyZMACA8PJz169czadIkYmJibvs+l5aXewYAF1KdbRyJEEIIIa5nN22kjEYjc+bM4fLly0RFRREfH09ubi7R0dHmMrVr1yY0NJS4uDgA4uLiqFevHgEBAeYyMTExpKWlmWu14uLiLNZRUKZgHUXJzs4mLS3NYrAVTzdTjZQkUkIIIYT9sXkitXPnTtzc3DAYDPTt25cFCxYQERFBYmIier0eLy8vi/IBAQEkJiYCkJiYaJFEFcwvmHejMmlpaWRmZhYZ09ixY/H09DQPISEht2JXreJ9pUbqYpokUkIIIYS9sXkiVatWLbZv386mTZvo168f3bt3Z8+ePTaNadiwYaSmppqHEydO2CyWgjZSFySREkIIIeyOTdtIAej1eqpXrw5AZGQkmzdvZsqUKTz33HPk5OSQkpJiUSuVlJREYGAgAIGBgfzzzz8W6yu4q+/aMtff6ZeUlISHhwfOzkUnJwaDAYPBProb8HSTNlJCCCGEvbJ5jdT18vPzyc7OJjIyEkdHR1avXm2et3//fhISEoiKigIgKiqKnTt3kpycbC6zcuVKPDw8iIiIMJe5dh0FZQrWYe/krj0hhBDCftm0RmrYsGG0bduW0NBQLl26xOzZs1m3bh3Lly/H09OTXr16MWjQIHx8fPDw8ODVV18lKiqKpk2bAtC6dWsiIiLo2rUr48aNIzExkXfffZfY2FhzjVLfvn357LPPGDJkCC+++CJr1qxh7ty5LFmyxJa7XmLeVxKplEvOGI0adDpl44iEEEIIUcCmiVRycjLdunXjzJkzeHp6Ur9+fZYvX84jjzwCwKRJk9BqtXTs2JHs7GxiYmL4/PPPzcvrdDoWL15Mv379iIqKwtXVle7duzN69GhzmbCwMJYsWcLAgQOZMmUKlSpV4uuvv74juj4A8LhyaQ8g5ZITFbyKbiAvhBBCiNvPponUN998c8P5Tk5OTJ06lalTpxZbpnLlyixduvSG62nRogXbtm2zKkZbc3TIx901m0uXDVxMc5ZESgghhLAjdtdGShTm42lKnqTBuRBCCGFfJJG6A/h4XEmkpAsEIYQQwq5IInUH8PaQGikhhBDCHkkidQfw9TI1OD930cXGkQghhBDiWpJI3QH8vE2J1FlJpIQQQgi7IonUHcDPx9SX1NmLrjaORAghhBDXkkTqDlBQI5V8QRIpIYQQwp5IInUH8DfXSMmlPSGEEMKeSCJ1B/Dzlkt7QgghhD2SROoOIJf2hBBCCPskidQdoKBG6mKaM7m5csiEEEIIeyG/yncAH89MtNp8AM6nSjspIYQQwl5IInUH0OkUFa48b08anAshhBD2QxKpO0TB5T1pJyWEEELYD0mk7hABFUyJVOI5NxtHIoQQQogCkkjdCYzZVA8+BcCZc+42DkYIIYQQBRxsHYAongZwydoD+zfz+dMTiArozPnMlrYOSwghhBBXSCJlpxw0OXRvDp6X15vGtdDzoZnk538PqR3BM8LGEQohhBBCLu3ZqRpeW6niB/k4QGAMq8++z+Jt7U3dIJz6FbLP2TpEIYQQotyTRMoOOWlTCPPYBUCKezT4NsXgGUyHiQv558j9kJ8DCXPRqlwbRyqEEEKUb5JI2aEqLmvRafI5kgwn05w4c+YMDhzGmO/Ac5/OJl/rAtlnCVabbR2qEEIIUa5JGyk746Y7Q6DhXwBW7oQzKQsByDU6AWM4llyZ7//Q0eNB8FV7qOJnu1iFEEKI8k4SKTtTyXkjAMdTK3Em5SRhYW3x8QkBwG3FZdIzXdl8qBLPP5yGIfcUI5+yZbRCCCFE+SaX9uyIhjx8HfcDcOhCVQCcnHxwdw/C3T0IP690ANIyK3HJ5V4Auj4ATtmHbBOwEEIIUc5JImVHfBwP46DNJtvozrlMn0LzA3xSAUjJqEyugz8XCUOrheCz0253qEIIIYRAEim74mfYA8DZnHBM3XFaCvRJASAlowoAZ7SNAfBKXwdpB25DhEIIIYS4liRSdkKnMZov653NqVNkmYJEKvVKIpWl8WZR/JWZ+yeXbYBCCCGEKEQSKTsR6pVsuqyX705qXkiRZQIKaqQuVzFPm/j7lRdHZkL2+TKNUQghhBCWJJGyEzV8TQ8lPptd9GU9KHxpD+CPvZBhqAXGTDj0RRlHKYQQQohrSSJlJ6p4JQFwLie82DIFidSlrIpk51ztuSLZp4vpxf5PwZhdZjEKIYQQwpIkUnYgvCK46LMxKgdS8yoVW87TLQODoylROpl89a6+ix6PgHMwZCXC8f8r83iFEEIIYSKJlB14qLbpb1peJdQN+kjVaCDQx/Sw4mOn/c3TlcYRar5qGtk3EZQqs1iFEEIIcZUkUnbgoStX81JyK9+0bEXfRACOnAqwnFG9D+hcIGUHJK291SEKIYQQogiSSNmcMtdIpeZWuWnpYN9kAI6c8recYfCBqj1Nr/dNvIXxCSGEEKI4Nk2kxo4dy7333ou7uzv+/v506NCB/fv3W5TJysoiNjaWChUq4ObmRseOHUlKSrIok5CQQPv27XFxccHf35/BgweTl5dnUWbdunU0atQIg8FA9erVmTlzZlnvXom4k0iQN+Tla0nLq3jT8gU1UodPBhaeWet1QAOnl0DqvlscqRBCCCGuZ9NE6o8//iA2NpaNGzeycuVKcnNzad26NZcvXzaXGThwIL/99hvz5s3jjz/+4PTp0zz11NUn9RqNRtq3b09OTg4bNmzgu+++Y+bMmQwfPtxc5ujRo7Rv356WLVuyfft2BgwYQO/evVm+fPlt3d+i+GNKeBIveZOP403LV7xSI3X4pH/hmR41oNLjptfSQacQQghR5opv2XwbLFu2zGJ85syZ+Pv7Ex8fT/PmzUlNTeWbb75h9uzZPPzwwwDMmDGD8PBwNm7cSNOmTVmxYgV79uxh1apVBAQE0LBhQ95//32GDh3KyJEj0ev1TJ8+nbCwMCZMmABAeHg469evZ9KkScTExNz2/b5WAHsBOJXmCy43L19QI3XmnA+ZWfrCBWoPgpO/wtHvoP4H4OR7K8MVQgghxDXsqo1Uaqrpobw+PqZb++Pj48nNzSU6Otpcpnbt2oSGhhIXFwdAXFwc9erVIyDgauPrmJgY0tLS2L17t7nMtesoKFOwDptRylwjdTLVr0SLuLtk4GIoaCcVVLiA34PgEwnGLDg0/ZaFKoQQQojC7CaRys/PZ8CAATRr1oy6desCkJiYiF6vx8vLy6JsQEAAiYmJ5jLXJlEF8wvm3ahMWloamZmZhWLJzs4mLS3NYigTl4/iqrlAbh6cueRz8/JXBHpuB+DA8SL6nNJoTLVSAAc+kw46hRBCiDJkN4lUbGwsu3btYs6cObYOhbFjx+Lp6WkeQkKKfvbdf+bgTrx6gUnLIC+/5FdZAzx3AHDgWDFxhT4DzhUhKwmOzb4VkQohhBCiCHaRSPXv35/Fixezdu1aKlW6WssSGBhITk4OKSkpFuWTkpIIDAw0l7n+Lr6C8ZuV8fDwwNnZuVA8w4YNIzU11TycOHHiP+9jkZz82Ec7hv5UusUKaqT2Hy8mkdI6Qq3XTK/3fAT5eUWXE0IIIcR/YtNESilF//79WbBgAWvWrCEsLMxifmRkJI6Ojqxevdo8bf/+/SQkJBAVFQVAVFQUO3fuJDk52Vxm5cqVeHh4EBERYS5z7ToKyhSs43oGgwEPDw+LwZ4Eem0H4FBCRYp7wDE1+oHeBy4dgOOlzNSEEEIIUSI2TaRiY2P58ccfmT17Nu7u7iQmJpKYmGhut+Tp6UmvXr0YNGgQa9euJT4+np49exIVFUXTpk0BaN26NREREXTt2pUdO3awfPly3n33XWJjYzEYDAD07duXI0eOMGTIEPbt28fnn3/O3LlzGThwoM32/b/wdduPwTGXy5nOQFjRhRzdIfxN0+udo6VWSgghhCgDNk2kpk2bRmpqKi1atCAoKMg8/N//XX3w7qRJk3j00Ufp2LEjzZs3JzAwkPnz55vn63Q6Fi9ejE6nIyoqii5dutCtWzdGjx5tLhMWFsaSJUtYuXIlDRo0YMKECXz99dc27/rAWlqtkVpVTl8Za1h8wZr9wVAB0g/BsVm3IzQhhBCiXLFpP1KqBA/XdXJyYurUqUydOrXYMpUrV2bp0qU3XE+LFi3Ytm1bqWO0V3WqnuDfg5WBBsUXcnSH8MGw/S3YOQoqPwc6p9sWoxBCCHG3s4vG5qL06lQraADf8MYFa8SCcxBcPgr7JpV1WEIIIUS5IonUHapO1RImUo5u0HCc6fWuDyDjZFmGJYQQQpQrkkjdoSLCTqHR5AOhnD9/kyu0VTqD7/1gzIBtQ25LfEIIIUR5IInUHcrdNYuqlc4A8O+/rjcurNFA408BjakrhFNLyj5AIYQQohywaWNz8d/Ur3GEwycqsm5dFi1bbr1p+YrezxNwcTa567uyN2wOXoGm5xYKIYQQwjqSSN2hzp47i6/HP8CDLF58gcWLm990GYMjbBoFDSpf5Mz8GO7/zIk9e/ZLMiWEEEJYSRKpO0xOziUA5s9fwLFDu4E30Goa07O5IzptLg4OOp599jnc3d2KXN5RXSQ/fz4x9Y0MaZPFuXPnJJESQgghrCSJ1B0mLy8LgLCwtqRps1i56zz5qgLh4aOoVGEze/cuoGaIG0FBQcWsIQguZsOpRQx/ChIuzgUa3bb4hRBCiLuJNDa/Qzk5+eDi4g3EAXA0uSEuLn4lW9j7Hk5rIgEISRoHR38ooyiFEEKIu5skUnc8UyK1+2hIqZZK1DTisxWgQUFcN9jxHqj8sghQCCGEuGtJInXH2wDAriOhlOCJO1dpNLz2PST5dDWN7/4A/uwgHXYKIYQQpSCJ1B1vEzptLudSPThzoYSX9q5QCk75D4CmM0DrCKd+g8W1Yc84yL1UNuEKIYQQdxFpbH7Hy6RywEGOnIlg55Fa+FqTGlftAd73wOZX4NwG2D4Udo+BsB5Q+Vmo0BS0OotFEhISOHfunFUR+/r6yp2CQggh7gqSSN0FqlfczZEzEew6WpMW1axciXcDeOQvOPo97PkI0vbDgU9Mg94H/JqBTyR41eNMuiuR93fgXEqWVZtycXFm7959kkwJIYS440kidReoXnEXK7Y8w84jtXio6n9YkUZrqp0K6wZnVsLRmXB6GeRcMF32O/UbAEHA2amQkeeE0cGbbI0H2XiQrfE0/cWDfI2+yE3sPXKWLm8vkP6rhBBC3BUkkboLVAnYj6NDHhcueXE+veZ/X6FGC8ExpiE/D87/Axe2wIV4SNtH3sX9OOSn4uKQBZzBXZme+ce1jd0dXEHvC66h4FoFXEJM7bCEEEKIu4gkUncBR4dcIqqcZMehKhw726JUy+7du7cEpZyAB8DwAPjB3nN7efXlLmz4ugO1g7WmGqucC5B95a8xA/Ium4aM43D2L1Ny5lyRwHx/6lSC0t1iKIQQQtgnSaTuEvfUOGpKpM61BNbetPyZc+logC5duli9zaR0F2p71Sg8w5hlSqgyE02JVPoxyEuDjBMEc4JdH0PW0Y6gex5CngKfxqDRWB2HEEIIYSuSSN0lGtU8yszfW3Ik+RGMxnU3LZ9yKQsFfDakJVGNikiGbmDpXwd5b+pasrKKaWyucwLnYNPg08hU+5RzES4fJfX0vzjlJuDEcVOj9j0fgVt1qNLZNHiULhYhhBDCliSRuktEVDmJm/Nl0jMrsHV/GJUqZZZoueoh3jQKL+65fEXbe7SU3R5oNGDwAYMPh5OCadH7S3YsHUuYwzY4tRjSD8GuUaahQhNTQlX5OXDyL912hBBCiNtMOuS8S+h0+dxTYzcAq/+pZ+NobuxSJlz0aA0P/B88lQRRP0JQG1M7qvObIP41WBAM69rDsdmmtlZCCCGEHZJE6i7SuOYuAFbZeSJlwdENwjpDy9+hwyloNNnUZkoZ4fRS2NAZ5gfAxhfh7N/SSF0IIYRdkUt7d5FGNXcD+ew5EsKpJHcqBtjvY16Kv1vwQfB/EIPnMXzSfscn7XcMuafgyAw4MoNc52o41upj6uvKOfC2xiyEEEJcTxKpu4inazqVfDZx8kIUS9fX4KWOW20dUiHW3C34QC148SF4tgm4chi2DyV/+zukeDxCsncnMpzrlmg98mgaIYQQt5okUneZ6gFLOXkhigVrwu0ykfovdwt+t/0wW+NW06slRNXIM9dYbTwEnyyHeZsgz1j88vJoGiGEELeaJFJ3mTqV5rJu7/usiKtG8nlX/CvYZ0Nta+8W/OYPuKdJS7y1XvipXXirwzStnk/T6jAj1p1EzT1c0NRAaSwfsiyPphFCCFEWJJG6y/i6H6BBjWPsOFiFuSvq0P/5f2wd0i1XPcSb2hH1gPqQl256dM35zRiMl6is/qSyww7wexC8GoJWd7PVCSGEEFaTu/buQh1bbQLgxyX1bRzJbeDgBv4PQa3XIbC16Rl/ualwejEc/BRSdsqdfkIIIcqMJFJ3ocebb0GrzWfTzkocSvCxdTi3h9YRfKOg5usQGGNKsHJT4eR8OPI1bgUPVhZCCCFuIUmk7kL+Pmk80vQIADMXNbRtMLeb1hF8m0LN18C/JWj1kHmamvm/MX8AGHISbB2hEEKIu4gkUnehs+fO0rHlagA+n9OIw0fPkZqaauOobjOtI/g3hxqvgnckCg1P3gvhR56BrW9CTjl7P4QQQpQJSaTuIjk5pg44589fwIk9r+DlcoSLl9x4bUQ+n039rPwlU2DqOb3io+zVPs3vO0BLHuybAL/VgINfQP4N+ksQQgghbkISqbtIXl4WAGFhbbm3cW+efdh0x97WhHfJzsknIyPDluHZVJbGm3bj4FClT8CjNmSfhc19YVkjSFpr6/CEEELcoSSRugs5Ofng7h5Eh4eO4O6SSeLFYPaeesrWYdmFNLdm0O5f0zP9HL0g5V9Y/TD8+RSkH7F1eEIIIe4wkkjdxZwNOTzZ3NQVwpo9Y8jNk8MNmNpP1X4dHjsINV4BjRZOLoDF4bD9LchNs3WEQggh7hA2/WX9888/eeyxxwgODkaj0bBw4UKL+Uophg8fTlBQEM7OzkRHR3Pw4EGLMhcuXKBz5854eHjg5eVFr169SE9Ptyjz77//8uCDD+Lk5ERISAjjxo0r612zG889vAFP1zQupNfkx6XNbR2OfXHyhXunQtsdEBgN+Tmw52P4rSYc/kbaTwkhhLgpmyZSly9fpkGDBkydOrXI+ePGjeOTTz5h+vTpbNq0CVdXV2JiYsjKyjKX6dy5M7t372blypUsXryYP//8kz59+pjnp6Wl0bp1aypXrkx8fDzjx49n5MiRfPnll2W+f/bAxSmH51v9BsD/fmzHgUMXOXPmDBcvXgQgI9M+HyFTVvbu3cvWrVsthyM5bPX8iMMVJ5HlGAJZSbCpNxkLIjj8xyS2xseTkCDdJgghhCjMpo+Iadu2LW3bti1ynlKKyZMn8+677/LEE08A8P333xMQEMDChQvp1KkTe/fuZdmyZWzevJnGjRsD8Omnn9KuXTv+97//ERwczKxZs8jJyeHbb79Fr9dTp04dtm/fzsSJEy0SrrtZi/rLmLcmkvNptek2JIw2DQay80pesHLlSh5uGo6np6dtgyxjZ86lowG6dOlyw3KOOng1BoY/CZ4coNqpQfxzGF77Tc8n8w4QWrny7QlYCCHEHcFun7V39OhREhMTiY6ONk/z9PSkSZMmxMXF0alTJ+Li4vDy8jInUQDR0dFotVo2bdrEk08+SVxcHM2bN0ev15vLxMTE8PHHH3Px4kW8vb0LbTs7O5vs7GzzeFraHd5mRl2mbYNX+fHvlWw+8hqdYtKpolsDW9ZizDPdzXe3J1Ipl7JQwGdDWhLVqMZNyx9TWQSof/FTu7ivWh4LB+SQvvUJMEyEwIfLPmAhhBB3BLtNpBITEwEICAiwmB4QEGCel5iYiL+/v8V8BwcHfHx8LMqEhYUVWkfBvKISqbFjxzJq1KhbsyN2olrAKu6vs4ENu+9n+uKePNV8h61DsonqId40Cg8qYekwyIsmaf9yPLJ34sYOWNMK/FtA/VGmDj+FEEKUa3abSNnSsGHDGDRokHk8LS2NkJAQG0Z0a3SLnsWOI43Yn1CRrQdaAz/bOiT75+DKKW0U9wzcyZrPWlNTuxZt8jpY9RCXXCI5U6EP6a6Nb7gKX19fQkNDb0+8Qgghbiu7TaQCAwMBSEpKIijoag1CUlISDRs2NJdJTk62WC4vL48LFy6Ylw8MDCQpKcmiTMF4QZnrGQwGDAbDLdkPe+LllkrvR1czZV571m17ARgOJNo6LLt35lw6iSkQ3mUFlXzg7SegVwtwz4jHPeNl1u2BUQtg3Z6il3dxcWbv3n2STAkhxF3IbhOpsLAwAgMDWb16tTlxSktLY9OmTfTr1w+AqKgoUlJSiI+PJzIyEoA1a9aQn59PkyZNzGXeeecdcnNzcXR0BEwNrGvVqlXkZb273WPNtrB8U0P2JVQEJgHP2zoku1dU+6r9Kp1AtZ0Kah8tIvJpEQGXCCRRG8klgkGjAWDvkbN0eXsB586dk0RKCCHuQjZNpNLT0zl06JB5/OjRo2zfvh0fHx9CQ0MZMGAAH3zwATVq1CAsLIz33nuP4OBgOnToAEB4eDht2rThpZdeYvr06eTm5tK/f386depEcHAwAC+88AKjRo2iV69eDB06lF27djFlyhQmTZpki122OZ1WMei533j5fy+hVCeOnf3J1iHdMQq3r6ph6rzz7Hq4uBV3lYh7/hJwCTG1o3INK25VQggh7hI2TaS2bNlCy5YtzeMF7ZK6d+/OzJkzGTJkCJcvX6ZPnz6kpKTwwAMPsGzZMpycnMzLzJo1i/79+9OqVSu0Wi0dO3bkk08+Mc/39PRkxYoVxMbGEhkZia+vL8OHDy83XR8UpUZIIk0jFhG3+0n+OvAFFy99TFBJ218LS44eENwO/B4wJ1RknIBjP4BLKK7qHltHKIQQogzZNJFq0aIFSqli52s0GkaPHs3o0aOLLePj48Ps2bNvuJ369evz119/WR3n3ah5w/8jbnctMnMieO/zTvwy+Xdbh3RnMydUD8K59XAhHjISqEUCP78OhuxjQCNbRymEEOIWk4evlVMOulygBxqMzF/bhF/X1rJ1SHcHR3cIags1XgWvhig0dLwPIo4+C//0hazkm69DCCHEHUMSqXJtM/VDxwPQZ/RjJJ93tXE8dxG9J1R6gr3ajiyKBw1GOPSF6Tl++yZDfq6tIxRCCHELSCJVzkVWGUntKqdIvuDGiyOe4AZXWoUVsjQ+PDERDoR+Bd6NIDcVtg6EpQ3gzEpbhyeEEOI/stvuD8Tt4aDLZurQr2n3+jss+asm0+c1pt+zW2wd1l1n83Fn0mtPp4JhEcFnP8MxbS+sbU2KWwtO+g8kR1+pyOWkM08hhLBvkkgJfN138HbP+Yz44lkGjW9NncqbaVA77a5//t7tUNTDkr1cYMRT0L81eKWvw+nCOv63FMYugoxsy+WlM08hhLBvkkgJ5s9fgFILqebvyeHkGJ4b/AR9H3mAAa+9LMnUf3SjhyUfUBeolB+Hh/4U73aAIR1cOaVpykVNVdBopDNPIYS4A0giJQgLa4uPTwhVa67i1U+bkZjaiBX/jqBPxhFJpG6Roh+WHAQqAi7tgzMr0OemEKZWE+ZyGILaAH62CFUIIUQpSGNzgZOTD+7uQVSu6MqQFxYDsOHAYP7eUdPGkZUDGg14hEONV0y9oWsc4PIxOPQFlfL/xsvF1gEKIYS4EUmkhIUH6u+jdeO/AC2vjX+RC6nOtg6pfNA6gv9DUCPWlFih8Fe7OTABKqQsgHyjrSMUQghRBEmkRCG928/Fx+0AZ8550/eDR6VLhNtJ7wWhz0KVrmTihZ8HVE78AFY0gXMbbR2dEEKI60giJQpx0ufwVOPOOOiMzFtRh+9/a2DrkMoft6rs1T7NwB/AqHU1PXJmRRT81RFS99o6OiGEEFdIIiWKVNFnC292/Q2A/mPbcfiEt40jKoc0WiYvg91VF0DVF0GjhRPzYWldiOsB6cdsHaEQQpR7kkiJYj378I80qXuQ9AwDzw1+lBMnkzhz5gwZlzNsHVq5kudQAZp+A23/hUpPgsqHo9/B4prwz8uQdsDWIQohRLkl3R+IQnJyLgHw68JfaFppM9v3/Uv83mp0fdOfFuGj2XNK8u/bae/eay7lub2LS+UOBJ/9HI+MTXDoS9Shr0h1e4gkn25cdrl6GVZ6RRdCiLIniZQoJC8vC7jav5SDxzwmzO3NX/tG0Oq+bIzGj20cYflQVK/o13qgFgxuD49HKrzS1+GVvo64g/DVWpi3CfK10iu6EEKUNUmkRLEK+pd69IGT7DjyL6u21Gfqoje4r8rnwCVbh3fXu1Gv6Nfaoy7ir3biow4QVSOfqBrwZW8dP67PJOv4MgjpbWpfJYQQ4paTREqUyOvPLGHnkVCSLvixQ/sJ0NPWIZUbRfeKfq0gIAJy0yFlO1zcjkPOeXo0B068DAtHQcXHoNITENASdE63J3AhhCgH5N9UUSJuztm83XU+Wk0+Ced7AM/YOiRxPUc38HsAasSyX/sEX6650nVC5mk49AWsawe/+MGfT8H+zyBll6nhuhBCCKtJjZQosfrVEnj6oWXMXdcO+JKjp0fZOiRRFI2Gy5oAXv4G3Ft+xr0h6Ximr8Mz/U/0eWfh5ALTAOTpPEl3bkS6c30ynGqT6VQbo85DGqoLIUQJSSIlSqXTw7+xeos759Mf5N3P36Vt8++pHJxq67DEdQoaqr/QxfISbKMq0KYBPBQOzWqAq1MqXulr8Upfay5zJBm2JGjx6PgmXmEPg3cDcAowPRdQCCGEBUmkRKk46PKJqv4Ei7f/yfnUurR4sTNzxk4mNPA8Li4ueHp62jpEQckaqh9QRlw4h5s6g4s6iwvnMHCJqv5Q1T8fjo8zDUCuzotMQw2yDNXJNNQg01CdTENVlLbwsxilNksIUZ5IIiVKJSfnEnqHi0Ab3J3+5NiZqkT37U+XZm2o5LuX/rH9JZmyIzdvqF4JaHh11JjJxn+28MuiNdwTZqrBqhEIjqTgmLEZj4zN5qL5+XAoCf49ATtPwL8JpiHpshN79uyXZEoIUS5IIiVKpaCPKThF/w5Dmb12MseTKvLtH5tpU78fly9nSCJ1J9M5c/iiF/9baqrNygipwb8qDycu4qwu4MyFK3/P46jNomYQ1AyCp++7uor0rCw0W9rDmabgVR8q3AfeDUFnsNluCSFEWZFESljN3yefTwf+wOgZz7BlfzUWbf2WS+9u4qNXfyUk8Ly5nFzyuzNZ1maFFC6Qlw5ZyZCVZP6bn5WMm5MRsnbB4V1Xy2r14N0IfJteHVxCpd2VEOKOJ4mU+E/cXbL4uN+PfPtbTX5a8zRr45vQ7MX6NKk+mWY1x+Osv4ijo4Nc8rsbObiBmxu4VTVP2r7nFC8M+pqvxvenum8mLln7ccnahaMxBc5vNA37TWVzdRW47FyPy851uexUlwynCHwCKsslQSHEHUUSKfGfabWKx5rOw0PzAWv3z2bfiQb8fWAY2xNep32ThVT1eJmMDLnkVx6cOZ/BgTPQvMtnFtOr+kPT6qahSXW4pzI4ct78aBswtbnau1ZDeuQzuFVuZbok6FkXtHKaEkLYLzlDiVvG32MPI7qO5/DZ9ny75GGOnA5g7h8v4GKIxiloHUN7H7B1iKKMlfSxNrtUHi6cw1Ul40oyLioZgzadOpUUJM01DQA6F/CJvNrOyqseeNSW9lZCCLshiZS4pTQaaFZvP1F1DrBuWx2+Wfwgp88HMPLLZ/lqYRoxzWYDi2wdpihjN79bEK5vd/XvnsO8O/5HPhz0OKGuibhm7UZnvAxn/zINVyh0ZOmrXOmCoTpZhmpk60NwD6xHSFitMtgbIYQoniRSokxotYqHI3fRqNpqvl2Yw+bjH3Eq2Y9vF/QFolm45hfuCT+Lv5+brUMVduLE+XwWb4XfupgSbY0GagWZLgXeWxXqh0C9EPByNeKccxjnnMNwafnVFRwF4xY/dJ41TO223KqCa2VTZ6JO/lf/yrMGhRC3kCRSokwZjak0qvIT9UNmEX+0D2v3vEN2XnWmLxjKj78n0v/57bz6wm6C/S/ZOlRhYyW5LHhEKRy5fE03DBdwUhdxyE9Fr81Dl3sWzp2FcxuK3Y5R60quzgejzhOj1hWjzo1c5Yxy9CBf63plmiv5WjfTa60bRp2b6a/WjXyti8XdhtIBqRDlmyRSokwV9DtVo/rDNLkvm+pbevLZgnq4uwziUkYgH81ow8czY3j4vqO80HYnjz20Hz+fDBtHLWypZJcFLS356wDdhv5EmD9XemaHMD8I9QV/DwjwNP3VO4Au/zK6/MuQe8Kq+Iz5kJYJqRmm4USOFr/7WuDsGXyl5qug9ivgai2YwR90equ2J4Swb5JIidvCyckHd/cgPN3PAeMY+uxWtu3x4UjKCLYdiGD1pqqs3mS6jb5ejZM0qZdE/RpJ1Kh8geohF6gclGLT+IV9S7mUzYXLMPqZomuzkoFkpdCRgwOZOJKJjmx0Kpe9h0/xxz8HeKZlKCGBbujIRadyTH/JQUsOuiuDlnx0WvB2NQ0m+XBxDVy8cYx5Wg/yHHzIdahAroMvuTpf9J6heAdFgHMQOAWa/uq9pX8tIe4gkkgJm1D5l6lbaRV1K82leVhldp58nj0nnyUx9R52HqzEzoOVLMrrtEa8PZKAl5n2cy6nzufRsHYidaolY9AbbbMTwu5YU5v19/GdfPzbAVq2bkxknXrFF1QKVB4YsyA/G4xZbNpxhAnfrsXDxZRYXVv7FeB59bWDDhzy03DIScMp59jVdV4Ejl23Ha3+alJ1bYJ1/WuDr9y9KIQdkERK2IQxPxeAsLC2+PiE0IoLwHQSTqeybrORpNQGJKfV5eLlaly4XI08owvnUoKBYH79A379w7QeB50RX680PN0uo9WAMV9LnlFLbp4DuXk6cnIdyMlzIC/PCHxCz5H5hARmUaViKjUrX6Z66AVqVTlPrSrn8PbIKi5cIUy1RBpH0DoC7gAcuniRef8U3a5LAYlAolLoyMaRTBzIwFFl4kgGaSnn2LrzENHNIvA0ZOGYdw6H/DTIz4GMBNNwE0atK3k6r8KDgxd5Ou/rpnlj1HqARgtI2y4hbpVylUhNnTqV8ePHk5iYSIMGDfj000+57777br6gKDMFl/wK+HqdpU6lBTz64GV8fExtWJSCC5c8WfjHWX7dqKVepTpcym5IYkpDsnJ9SDzvTeJ57xJszY0z5+HMefhnd+G5Pp6XqFYxiVpVzlGv5iVqVTlHrSrnycsrV18TYQXr2nUdpNu0Q6hpe8zTDI4Q6AmBXhB0ZQj0hCBvy/EAT1MtV0F7L0PuqRJt05gPF9LhfDokZWnwv+d+nNz9wdEDHN1Nfx3cr45rDaZaL63+ynDltU5/dRrXXoZUlhtU6rp56so0dbXsteM3e339NI0GNA6m5FbreN1rx6uvC+ZpdHLZVNxy5eYX4v/+7/8YNGgQ06dPp0mTJkyePJmYmBj279+Pv7+/rcMT17k+wfLwgBD/XcAWHr+/AU0a7Eep/+NCmhfHT6dw6OgRAgPvw8vLB61G4eiQS0b6URIT/6ZKaFP2nc5lxrKd9Gn3EI46f/YdSSUlI4zz6TU5f6kml7IqcSHVnQup7mzeUx2WXo1Fq+kHfMCwT8/xza9gNGox5mvIzNaTkeVEeobp7+UsA1nZjmi1Cp02H502n1zjZWAg730OPyxV+HmnUtE/iyqV8gmokI6bcw7OTnm4OOXibMjF2SkPZ0MuOp26/i0Rd5mSdl56vSRgxl8HmDhzHZ8MbMK9dQJwIAsHlWX6WzCoLHTXjpODTgt+HqYBFKT+DalltIN2Kh8H1JWkSuGA0uhMw5XX108HHUalQ6NzuFoGncVyaLSoa6aZ56MjLx90DnoUWtN20aHM5fXka51Ng8YJo9bJ/Dpf64SXb0UqVa5l6phWq7PtGyeKVW4SqYkTJ/LSSy/Rs2dPAKZPn86SJUv49ttveeutt2wcnSgNR72rOcny8ABnx4OojFWE1w4gIMDRXC4p6Rz5GXuoHHQPaXmZwHbCq1QlyDsBX8cF5suKAJnZBk6f8+dgggO7D2dy/lItzqfX4nx6TXLy3IEabDtQg22l7py9AhDK5r2weW8p9tEhD502C/iMniPzqFIxlyC/LPx9LlsMft4Z+HlfxsUpFydDHs6GPJwMeZYVAcKuWVObtffoOS5eBr+AitSKuEG7rmspI+RlgjGDuG0HGPvFatydwd0ZPK4M7k5X/l4Z1+tMdzoaHE1/C43f4BekqM+gUlfqk1QJX99kvkYDDlpw1IGjw5W/uqvjRdGSZ2rrdid8R44A/5he5l9JuowaF/K1LqbXV/7ma12uvta4YNQ64+Lhh49/qOmZmAWDo5vluM5JauhugXKRSOXk5BAfH8+wYcPM07RaLdHR0cTFxdkwMmFL19Z6ubuDv28eQd5b8dNfTbKUgiUbL/Dl4nM8ULMWFQMb4+rqiUajMDjmYMw9RurFTVSuVAd/Xw/0jrnkKw0pF09y4uQ2EjPqs/ifVJ6IegBXl6oknddwOjmH9OwALmcFkGN0Jc/oTK7RBWP+1YbDuXkO5OLGtZcjSy+Lpwbn4eZsxKDPNQ86rREHnUKrzUd3pfZMq81He2V68oUYoCvDp/kwda4Ler0WJ4MDDg6mWjadrqDGTaHTXf2r1Sj2HGkANGHq/4Xy6x/e6LT56B3zMDjmoXfMI6zSZbp3OPbfD54oPY3O9EPq6MaRi0n8tq10tWG5V4Z5fx3kvalrS12TBrD0di575TKghnxWxh3k42//4n+v3U/jelXQkI/myryCMlcHBdfMj999iv9btpOXn6xDzbAAc7mry12/nqvjR06cZ8P2BB5pUolgf89r5pnKaTGiVXloyUVLnsWgjDk4aIxoTU3a0KoctMYcHEpahXgWOHyTtwjtleTLgNI4kq9xRGn06Byd0Tu5XbmsW3A595pLvBotoLnyV2sxfin9MplZ2SgKpmkALQqNuYzptRZ1pb2eab4WZw8/fJqOKNn+2ZFykUidO3cOo9FIQECAxfSAgAD27dtXqHx2djbZ2dnm8dRU0wc3LS3tlseWkWHqM2nvsaNk5eRe3WbaSRLPQrbDQTyT0oqcfiQ512LZkixTMP1gwkkATqfA9oM3L3/tvLNXJl0bc0m3XbDdQ6fO4pBXslgLHE9KvrJsIoZ/t1r9XiWd44b7Z5p3Hs9U09cjJf0ksA0v13WEBW7D0yPAonz2pW1oNMnk5AZQcAgzc06SZ9yGRnMBOEKA9xHCgisRWuEkie7bqOAbjouLl8W209PPk3z2BB5eDXDU+7Pn2GVWbU+iVf2qGHM0ZOb4kZXnS2aOH9m5vmTm+pGV60dWji/GfANG5QxoLdaZkQUZWRpAf2UoqTr8s+fmpYrWit/WFz3H32MTft5LcXNzLTRv75GzAOw8dBZn1+Ol2qIsWzoFy2dm55GekVOqZbNy8u64ZdMyr7QNu6zjYmbp+vPamXSZBVvg/mY+OAeVrnH+ikOHGfNTAuP9w7jPo1rplo07zJiv/uK1Z+tSp5o/DlojDlojjto8HDTXvNYacdQU/DXioM0jPT2dU4kXcXUCNydw1WN6bQDXK4NJPnD5ynBVLvBfbr2x9tkBialwxv1pQkJCbl64hAp+t1VZVtOrcuDUqVMKUBs2bLCYPnjwYHXfffcVKj9ixIhrW0PKIIMMMsgggwx38HDixIkyyzHKRY2Ur68vOp2OpKQki+lJSUkEBgYWKj9s2DAGDRpkHs/Pz+fChQtUqFABzS2+npyWlkZISAgnTpzAw8Pjlq5bWE+Oi32S42J/5JjYJzkuJkopLl26RHBwcJlto1wkUnq9nsjISFavXk2HDh0AU3K0evVq+vfvX6i8wWDAYLDs6M7Ly6tMY/Tw8CjXH3Z7JcfFPslxsT9yTOyTHBfw9PQs0/WXi0QKYNCgQXTv3p3GjRtz3333MXnyZC5fvmy+i08IIYQQorTKTSL13HPPcfbsWYYPH05iYiINGzZk2bJlhRqgCyGEEEKUVLlJpAD69+9f5KU8WzIYDIwYMaLQpURhW3Jc7JMcF/sjx8Q+yXG5fTRKSdd9QgghhBDW0N68iBBCCCGEKIokUkIIIYQQVpJESgghhBDCSpJICSGEEEJYSRIpG5o6dSpVqlTBycmJJk2a8M8//9g6pLva2LFjuffee3F3d8ff358OHTqwf/9+izJZWVnExsZSoUIF3Nzc6NixY6Ee8RMSEmjfvj0uLi74+/szePBg8vLybueu3LU++ugjNBoNAwYMME+TY2Ibp06dokuXLlSoUAFnZ2fq1avHli1bzPOVUgwfPpygoCCcnZ2Jjo7m4MGDFuu4cOECnTt3xsPDAy8vL3r16kV6evrt3pW7htFo5L333iMsLAxnZ2eqVavG+++/b/EcOTkuNlBmD58RNzRnzhyl1+vVt99+q3bv3q1eeukl5eXlpZKSkmwd2l0rJiZGzZgxQ+3atUtt375dtWvXToWGhqr09HRzmb59+6qQkBC1evVqtWXLFtW0aVN1//33m+fn5eWpunXrqujoaLVt2za1dOlS5evrq4YNG2aLXbqr/PPPP6pKlSqqfv366vXXXzdPl2Ny+124cEFVrlxZ9ejRQ23atEkdOXJELV++XB06dMhc5qOPPlKenp5q4cKFaseOHerxxx9XYWFhKjMz01ymTZs2qkGDBmrjxo3qr7/+UtWrV1fPP/+8LXbprjBmzBhVoUIFtXjxYnX06FE1b9485ebmpqZMmWIuI8fl9pNEykbuu+8+FRsbax43Go0qODhYjR071oZRlS/JyckKUH/88YdSSqmUlBTl6Oio5s2bZy6zd+9eBai4uDillFJLly5VWq1WJSYmmstMmzZNeXh4qOzs7Nu7A3eRS5cuqRo1aqiVK1eqhx56yJxIyTGxjaFDh6oHHnig2Pn5+fkqMDBQjR8/3jwtJSVFGQwG9dNPPymllNqzZ48C1ObNm81lfv/9d6XRaNSpU6fKLvi7WPv27dWLL75oMe2pp55SnTt3VkrJcbEVubRnAzk5OcTHxxMdHW2eptVqiY6OJi4uzoaRlS+pqakA+Pj4ABAfH09ubq7FcalduzahoaHm4xIXF0e9evUsesSPiYkhLS2N3bt338bo7y6xsbG0b9/e4r0HOSa2smjRIho3bswzzzyDv78/99xzD1999ZV5/tGjR0lMTLQ4Lp6enjRp0sTiuHh5edG4cWNzmejoaLRaLZs2bbp9O3MXuf/++1m9ejUHDhwAYMeOHaxfv562bdsCclxspVz1bG4vzp07h9FoLPR4moCAAPbt22ejqMqX/Px8BgwYQLNmzahbty4AiYmJ6PX6Qg+oDggIIDEx0VymqONWME+U3pw5c9i6dSubN28uNE+OiW0cOXKEadOmMWjQIN5++202b97Ma6+9hl6vp3v37ub3taj3/drj4u/vbzHfwcEBHx8fOS5Weuutt0hLS6N27drodDqMRiNjxoyhc+fOAHJcbEQSKVEuxcbGsmvXLtavX2/rUMq1EydO8Prrr7Ny5UqcnJxsHY64Ij8/n8aNG/Phhx8CcM8997Br1y6mT59O9+7dbRxd+TV37lxmzZrF7NmzqVOnDtu3b2fAgAEEBwfLcbEhubRnA76+vuh0ukJ3HiUlJREYGGijqMqP/v37s3jxYtauXUulSpXM0wMDA8nJySElJcWi/LXHJTAwsMjjVjBPlE58fDzJyck0atQIBwcHHBwc+OOPP/jkk09wcHAgICBAjokNBAUFERERYTEtPDychIQE4Or7eqNzWGBgIMnJyRbz8/LyuHDhghwXKw0ePJi33nqLTp06Ua9ePbp27crAgQMZO3YsIMfFViSRsgG9Xk9kZCSrV682T8vPz2f16tVERUXZMLK7m1KK/v37s2DBAtasWUNYWJjF/MjISBwdHS2Oy/79+0lISDAfl6ioKHbu3GlxIlq5ciUeHh6FfnjEzbVq1YqdO3eyfft289C4cWM6d+5sfi3H5PZr1qxZoa5BDhw4QOXKlQEICwsjMDDQ4rikpaWxadMmi+OSkpJCfHy8ucyaNWvIz8+nSZMmt2Ev7j4ZGRlotZY/2zqdjvz8fECOi83YurV7eTVnzhxlMBjUzJkz1Z49e1SfPn2Ul5eXxZ1H4tbq16+f8vT0VOvWrVNnzpwxDxkZGeYyffv2VaGhoWrNmjVqy5YtKioqSkVFRZnnF9xq37p1a7V9+3a1bNky5efnJ7fa30LX3rWnlBwTW/jnn3+Ug4ODGjNmjDp48KCaNWuWcnFxUT/++KO5zEcffaS8vLzUr7/+qv7991/1xBNPFHmb/T333KM2bdqk1q9fr2rUqCG32f8H3bt3VxUrVjR3fzB//nzl6+urhgwZYi4jx+X2k0TKhj799FMVGhqq9Hq9uu+++9TGjRttHdJdDShymDFjhrlMZmameuWVV5S3t7dycXFRTz75pDpz5ozFeo4dO6batm2rnJ2dla+vr3rjjTdUbm7ubd6bu9f1iZQcE9v47bffVN26dZXBYFC1a9dWX375pcX8/Px89d5776mAgABlMBhUq1at1P79+y3KnD9/Xj3//PPKzc1NeXh4qJ49e6pLly7dzt24q6SlpanXX39dhYaGKicnJ1W1alX1zjvvWHTzIcfl9tModU2XqEIIIYQQosSkjZQQQgghhJUkkRJCCCGEsJIkUkIIIYQQVpJESgghhBDCSpJICSGEEEJYSRIpIYQQQggrSSIlhBBCCGElSaSEEOIW02g0LFy40NZhCCFuA0mkhBBCCCGsJImUEEIIIYSVJJESQtxx8vPzGTduHNWrV8dgMBAaGsqYMWMAGDp0KDVr1sTFxYWqVavy3nvvkZuba152x44dtGzZEnd3dzw8PIiMjGTLli0AjBw5koYNG1psa/LkyVSpUsU8vnnzZh555P/btZdQWtc4juPfsx23slAuyQTplcvAJUYU4QwsMkAMxJowk3JZJJeYSUlyKxJlwsiESFEGlqJYJVEysFLuKZSYrD1bnXX2Oaft7exzrLN/n9nb8zzv//3Pfv3f5zciIyMJCwsjPz+fg4ODH96ziHxOv/7XHyAi8lFdXV3MzMwwMjJCXl4eV1dXnJ6eAmCxWJifnyc2NpajoyMaGxuxWCx0dHQAUFtbS2ZmJlNTU/j5+eF0OvH39//u2s/Pz9hsNsbGxnC73QwPD2O1Wjk7O8NisfyQfkXk81KQEhGf8vz8zOjoKOPj49hsNgASExPJy8sDoKenx7M3Pj6e9vZ2FhcXPUHK5XJht9tJTk4GwDCMD9UvLCz0ep6eniY8PJzt7W3KyspM9yUivkm/9kTEp5ycnPD29kZRUdGfri8tLZGbm0tMTAwhISH09PTgcrk8662trTQ0NFBcXMzg4CDn5+cfqn9zc0NjYyOGYRAWFkZoaCgvLy9eNUTk56EgJSI+JTg4+C/Xdnd3qa2txWq1srKywuHhId3d3by/v3v29Pf3c3x8TGlpKVtbW6SmprK8vAzAly9fcLvdXu/8/f0qAJvNhtPpZHR0FIfDgdPpJCIiwquGiPw8FKRExKcYhkFwcDCbm5vfrDkcDuLi4uju7iY7OxvDMLi4uPhmX1JSEi0tLWxsbFBRUcHc3BwAUVFRXF9fe4Upp9PpdXZnZ4fm5masVitpaWkEBgZyf3//zzYpIj5Dd6RExKcEBQXR2dlJR0cHAQEB5Obmcnd3x/HxMYZh4HK5WFxcJCcnh9XVVc+0CeD19RW73U5VVRUJCQlcXl6yv79PZWUlAAUFBdzd3TE0NERVVRXr6+usra0RGhrqeYdhGCwsLJCdnc3T0xN2u/1vp2Qi8v+miZSI+Jze3l7a2tro6+sjJSWFmpoabm9vKS8vp6WlhaamJjIyMnA4HPT29nrO+fn58fDwQH19PUlJSVRXV1NSUsLAwAAAKSkpTE5OMjExQXp6Ont7e7S3t3vVnp2d5fHxkaysLOrq6mhubiY6Ovpf7V9EPo9f3H+8ECAiIiIi30UTKRERERGTFKRERERETFKQEhERETFJQUpERETEJAUpEREREZMUpERERERMUpASERERMUlBSkRERMQkBSkRERERkxSkRERERExSkBIRERExSUFKRERExKSvLmzoLiMaqSUAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight:**\n",
        "- Dataframe df_hour_data tidak dihapus outliers-nya, cukup ditambahkan kolom baru sebagai penanda.\n",
        "- Outliers pada df_hour_data tetap dipertahankan untuk memahami anomali data yang menjadi penyebabnya.\n",
        "- Dataframe df_no_outliers dibuat dengan menghapus outlier. Terlihat distribusi data menjadi lebih seimbang. Hal ini dapat membantu analisis selanjutnya (jika diperlukan), karena ada analisa tertentu yang mengharuskan outlier diperbaiki agar tidak terlalu mencolok dan menghindari bias.\n",
        "- Pelanggan umum (casual) cenderung menggunakan sepeda lebih sedikit daripada pelanggan terdaftar (registered). Hal itu bisa dilihat dari rentang nilai kecil dan penurunan curam. Sepertinya dipengaruhi musim.\n",
        "- Pelanggan terdaftar (registered) memiliki distribusi yang lebih luas karena digunakan secara rutin. Pola penyewaan lebih stabil."
      ],
      "metadata": {
        "id": "vl9CoFMHUFf4"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zsyZjqak8DC2"
      },
      "source": [
        "# Visualization & Explanatory Analysis\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Pertanyaan 1\n",
        "## Bagaimana perbedaan pola peminjaman sepeda antara pengguna umum (casual) dibandingkan dengan pengguna terdaftar (registered)\n"
      ],
      "metadata": {
        "id": "8NcPLKTfIqqo"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Tahapan:**\n",
        "\n",
        "1. Visualisasi Peminjaman Harian\n",
        "2. Perbedaan Hari Kerja vs Akhir Pekan"
      ],
      "metadata": {
        "id": "dm-DwnvdPi3t"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Daily Bike Rentals: Casual vs Registered\n",
        "daily_data = df_hour_data.groupby('dteday')[['casual', 'registered']].sum().reset_index()\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.lineplot(data=daily_data, x='dteday', y='casual', label='Casual', color='blue')\n",
        "sns.lineplot(data=daily_data, x='dteday', y='registered', label='Registered', color='orange')\n",
        "plt.title('Daily Bike Rentals: Casual vs Registered')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Number of Rentals')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "be6UjGJASPgc",
        "outputId": "00f17084-94eb-4359-8ab1-077ea2fd685a"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight**\n",
        "\n",
        "* Pengguna terdaftar (registered) memiliki grafik yang konsisten lebih tinggi dibandingkan pengguna umum (casual) sepanjang tahun\n",
        "* Pengguna terdaftar (registered) kemungkinan besar menggunakan layanan ini secara rutin, misalnya untuk pergi bekerja atau sekolah.\n",
        "* Kedua jenis pengguna menunjukkan lonjakan aktivitas selama bulan-bulan musim panas (sekitar Mei hingga September), yang dapat disebabkan oleh cuaca yang mendukung untuk bersepeda.\n",
        "* Penurunan aktivitas terlihat pada bulan-bulan musim dingin (Desember hingga Februari), kemungkinan karena kondisi cuaca yang kurang mendukung.\n",
        "* Jumlah pengguna terdaftar (registered) mencapai puncak penyewaan harian tertinggi sekitar pertengahan musim panas, dengan beberapa hari mendekati atau melebihi 7000 penyewaan.\n",
        "* Jumlah Pengguna umum (casual) mencapai puncak mereka di periode yang sama, meskipun jumlahnya lebih rendah dibanding registered.\n",
        "\n"
      ],
      "metadata": {
        "id": "aMY0YtoO-fed"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Average Rentals: Working Day vs Weekend\n",
        "# Grouping data by working day\n",
        "workingday_data = df_hour_data.groupby('workingday')[['casual', 'registered']].mean().reset_index()\n",
        "workingday_data['day_type'] = workingday_data['workingday'].map({0: 'Weekend/Holiday', 1: 'Working Day'})\n",
        "\n",
        "# Positions for bars\n",
        "x = np.arange(len(workingday_data))  # Position of the bars\n",
        "width = 0.35  # Width of each bar\n",
        "\n",
        "# Creating the plot\n",
        "plt.figure(figsize=(8, 5))\n",
        "\n",
        "# Plotting casual data\n",
        "plt.bar(x - width / 2, workingday_data['casual'], width, color='blue', label='Casual')\n",
        "\n",
        "# Plotting registered data\n",
        "plt.bar(x + width / 2, workingday_data['registered'], width, color='orange', label='Registered')\n",
        "\n",
        "# Adding title and labels\n",
        "plt.title('Average Rentals: Working Day vs Weekend')\n",
        "plt.ylabel('Number of Rentals')\n",
        "plt.xlabel('Day Type')\n",
        "\n",
        "# Adding x-tick labels\n",
        "plt.xticks(x, workingday_data['day_type'])\n",
        "\n",
        "# Adding a legend\n",
        "plt.legend()\n",
        "\n",
        "# Showing the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "GzXZowUpSWdR",
        "outputId": "7cc3822e-1c1a-4752-d7bf-57076ee02c16"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight**\n",
        "\n",
        "* Data pengguna umum menunjukkan tingkat penyewaan lebih tinggi selama akhir pekan atau hari libur dibandingkan hari kerja. Pengguna casual cenderung menggunakan layanan ini untuk keperluan rekreasi atau aktivitas santai.\n",
        "* Data pengguna terdaftar (registered) menunjukkan tingkat penyewaan lebih tinggi selama hari kerja dibandingkan akhir pekan atau hari libur. Ini menandakan bahwa pengguna terdaftar kemungkinan besar memanfaatkan layanan untuk perjalanan rutin, seperti bekerja atau sekolah.\n",
        "* Selama hari kerja, pengguna terdaftar sangat mendominasi penyewaan dibandingkan pengguna kasual, mengindikasikan bahwa layanan lebih banyak digunakan oleh orang-orang yang memanfaatkan langganan untuk tujuan harian.\n"
      ],
      "metadata": {
        "id": "CkKPv02Caj7S"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Pertanyaan 2\n",
        "\n",
        "## Pada jam-jam berapakah dalam sehari terdapat konsentrasi penyewaan sepeda tertinggi untuk pengguna biasa dan pengguna terdaftar?"
      ],
      "metadata": {
        "id": "TFfaup-GN4aU"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Tahapan analisa:**\n",
        "1. Agregasikan data casual dan registered berdasarkan hr.\n",
        "    * Tujuannya untuk menemukan jam konsentrasi tinggi untuk pengguna umum (casual) dan terdaftar (registered).\n",
        "    * Gunakan line plot untuk menunjukkan pola sepanjang hari.\n",
        "\n",
        "2. Heatmap penyewaan berdasarkan jam (hr) dan hari (weekday) dengan mengagregasikan data penyewaan berdasarkan hr dan weekday.\n",
        "    * Tujuannya untuk menunjukkan pola penggunaan berdasarkan kombinasi jam dan hari.\n",
        "    * Gunakan heatmap untuk menggambarkan intensitas penyewaan."
      ],
      "metadata": {
        "id": "rAys_mlFHKK3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Casual & Registered Rentals Line Plot by hour\n",
        "# Agregasikan data casual dan registered berdasarkan hr\n",
        "# Gunakan line plot untuk menunjukkan pola sepanjang hari\n",
        "\n",
        "hourly_data = df_hour_data.groupby('hr')[['casual', 'registered']].mean().reset_index()\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.lineplot(data=hourly_data, x='hr', y='casual', label='Casual', color='blue')\n",
        "sns.lineplot(data=hourly_data, x='hr', y='registered', label='Registered', color='orange')\n",
        "plt.title('Hourly Rentals: Casual vs Registered')\n",
        "plt.xlabel('Hour of Day')\n",
        "plt.ylabel('Average Number of Rentals')\n",
        "plt.legend()\n",
        "plt.xticks(range(0, 24, 2))\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "HL8-zfMca6PL",
        "outputId": "6a840b1a-a73c-4148-82e1-9837483af0fd"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Casual & Registered Rentals Heatmap (Weekday vs Hour)\n",
        "# Agregasikan data casual dan registered berdasarkan weekday dan hr\n",
        "# Gunakan heatmap untuk menggambarkan intensitas penyewaan\n",
        "\n",
        "# Preparing data for heatmap\n",
        "heatmap_data = df_hour_data.groupby(['weekday', 'hr'])[['casual', 'registered']].mean().unstack()\n",
        "\n",
        "# Create subplots\n",
        "fig, axes = plt.subplots(1, 2, figsize=(20, 8), sharey=True)\n",
        "\n",
        "# Heatmap for casual\n",
        "sns.heatmap(heatmap_data['casual'], cmap='Blues', ax=axes[0], annot=False, cbar=True)\n",
        "axes[0].set_title('Casual Rentals Heatmap (Weekday vs Hour)')\n",
        "axes[0].set_ylabel('Weekday (0=Sunday)')\n",
        "axes[0].set_xlabel('Hour of Day')\n",
        "\n",
        "# Heatmap for registered\n",
        "sns.heatmap(heatmap_data['registered'], cmap='Oranges', ax=axes[1], annot=False, cbar=True)\n",
        "axes[1].set_title('Registered Rentals Heatmap (Weekday vs Hour)')\n",
        "axes[1].set_ylabel('')  # Remove y-label for the second plot for cleaner look\n",
        "axes[1].set_xlabel('Hour of Day')\n",
        "\n",
        "# Show plots\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 494
        },
        "id": "W4Z4oWddSbT6",
        "outputId": "f5dfe66d-7023-437d-9b7d-0b71b3bd8876"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x800 with 4 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight:**\n",
        "- Data pelanggan umum (casual) lebih terkonsentrasi pada hari weekend (sabtu, minggu) sedangkan pelanggan (terdaftar) lebih pada hari-hari kerja.\n",
        "- Aktivitas penyewaan pelanggan terdaftar (registered) menunjukkan dua puncak utama:\n",
        "    * pagi (sekitar pukul 8) dan\n",
        "    * sore (sekitar pukul 17-18).\n",
        "- Puncak data pada pelanggan pelanggan terdaftar (registered) kemungkinan besar mencerminkan perjalanan rutin pergi dan pulang kerja atau sekolah.\n",
        "- Aktivitas pelanggan terdaftar (registered) menurun signifikan di luar jam sibuk ini.\n",
        "- Penyewaan oleh pengguna umum (casual) lebih konsisten sepanjang hari tanpa puncak yang tajam.\n",
        "- Aktivitas pengguna umum (casual) mencapai puncaknya di sore hari (sekitar pukul 14-16), yang menunjukkan penggunaan untuk rekreasi atau kegiatan santai.\n",
        "\n"
      ],
      "metadata": {
        "id": "R7R6Ilg9cuRY"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Pertanyaan 3\n",
        "\n",
        "## Bisakah kita mengenali anomali atau kejadian besar (seperti cuaca ekstrem atau hari libur nasional) berdasarkan lonjakan atau penurunan tiba-tiba dalam jumlah penyewaan sepeda (cnt)?\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "6aW5T0PiSiSJ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Tahapan analisa:**\n",
        "1. Analisis Lonjakan dan Penurunan Penyewaan, untuk mengidentifikasi anomali.\n",
        "    * Menghitung Perubahan Penyewaan Harian\n",
        "        - Data penyewaan sepeda yang awalnya berbasis jam (hourly) diubah menjadi berbasis harian (daily) dengan menjumlahkan total penyewaan (cnt) setiap harinya menggunakan fungsi groupby dan agg.\n",
        "        - Hitung perubahan harian dalam jumlah penyewaan sepeda menggunakan fungsi diff().\n",
        "        - Tambahkan variabel baru bernama change untuk menyimpan nilai selisih antara total penyewaan sepeda dari satu hari ke hari berikutnya. Nilai yang kosong di awal data (NaN) diisi dengan 0 menggunakan fillna(0).\n",
        "    * Mengidentifikasi Lonjakan dan Penurunan yang Signifikan (Anomali)\n",
        "        - Hitung ambang batas untuk mendeteksi anomali menggunakan dua kali standar deviasi (2 * std) dari nilai perubahan harian (change).\n",
        "        - Tandai data yang memiliki nilai perubahan lebih besar atau lebih kecil dari ambang batas ini sebagai anomali.\n",
        "    * Visualisasi Perubahan Penyewaan dengan Sorotan Anomali\n",
        "        - Buat plot garis untuk menampilkan perubahan jumlah penyewaan harian dari waktu ke waktu.\n",
        "        - Sorot anomali dengan menambahkan titik berwarna merah pada plot untuk menunjukkan lonjakan atau penurunan yang signifikan.\n",
        "        - Tambahkan garis horizontal untuk menunjukkan ambang batas positif dan negatif, sehingga mempermudah interpretasi visual.\n"
      ],
      "metadata": {
        "id": "Paq_8u1rHbh_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Daily Rental Changes with Anomalies Highlighted\n",
        "# Hitung perbedaan jumlah penyewaan harian.\n",
        "# Tambahkan variabel 'change' untuk menyimpan selisih antara\n",
        "# total penyewaan (cnt) sepeda dari satu hari ke hari berikutnya (diff()).\n",
        "# Gunakan plot garis dengan highlight pada perubahan besar\n",
        "\n",
        "# === Bagian 1: Deteksi Anomali ===\n",
        "# 1. Aggregate hourly data to daily data\n",
        "daily_data = df_hour_data.groupby('dteday').agg({'cnt': 'sum'}).reset_index()\n",
        "\n",
        "# 2. Calculate daily change\n",
        "daily_data['change'] = daily_data['cnt'].diff()\n",
        "daily_data['change'].fillna(0, inplace=True)  # Isi nilai NaN di awal dengan 0\n",
        "\n",
        "# 3. Identify anomalies\n",
        "threshold = daily_data['change'].std() * 2  # Ambang batas: 2 * standar deviasi\n",
        "anomalies = daily_data[abs(daily_data['change']) > threshold]\n",
        "\n",
        "# === Bagian 2: Visualisasi ===\n",
        "# Create figure and axis for better control\n",
        "fig, ax = plt.subplots(figsize=(14, 7))\n",
        "\n",
        "# Plot garis untuk perubahan harian\n",
        "sns.lineplot(data=daily_data, x='dteday', y='change', ax=ax, label='Daily Change', color='green')\n",
        "\n",
        "# Sorot anomali dengan scatter plot\n",
        "ax.scatter(anomalies['dteday'], anomalies['change'], color='red', label='Anomaly', s=50)\n",
        "\n",
        "# Tambahkan garis horizontal untuk ambang batas\n",
        "ax.axhline(threshold, color='blue', linestyle='--', label='Positive Threshold')\n",
        "ax.axhline(-threshold, color='yellow', linestyle='--', label='Negative Threshold')\n",
        "\n",
        "# Set axis labels and title\n",
        "ax.set_title('Daily Rental Changes with Anomalies Highlighted', fontsize=14)\n",
        "ax.set_xlabel('Date')\n",
        "ax.set_ylabel('Daily Change in Rentals')\n",
        "\n",
        "# Rotate and format X-axis dates\n",
        "fig.autofmt_xdate(rotation=45)\n",
        "\n",
        "# Add legend and grid\n",
        "ax.legend()\n",
        "ax.grid(alpha=0.5)\n",
        "\n",
        "# Adjust layout\n",
        "plt.tight_layout()\n",
        "\n",
        "# Show plot\n",
        "plt.show()\n",
        "\n",
        "# === Bagian 3: Analisis ===\n",
        "print(f\"Number of anomalies detected: {len(anomalies)}\")\n",
        "print(\"Details of Anomalies:\")\n",
        "print(anomalies)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "bkBc7xnXShpF",
        "outputId": "cd97d6e7-b58a-41cd-cbf2-6928d5ac4126"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-44-e2bb6652be45>:13: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
            "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
            "\n",
            "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
            "\n",
            "\n",
            "  daily_data['change'].fillna(0, inplace=True)  # Isi nilai NaN di awal dengan 0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of anomalies detected: 47\n",
            "Details of Anomalies:\n",
            "        dteday   cnt  change\n",
            "105 2011-04-16   795 -2331.0\n",
            "106 2011-04-17  3744  2949.0\n",
            "111 2011-04-22  1683 -2506.0\n",
            "112 2011-04-23  4036  2353.0\n",
            "238 2011-08-27  1115 -3546.0\n",
            "239 2011-08-28  4334  3219.0\n",
            "265 2011-09-23  2395 -2400.0\n",
            "266 2011-09-24  5423  3028.0\n",
            "273 2011-10-01  2429 -2773.0\n",
            "284 2011-10-12  2416 -2147.0\n",
            "291 2011-10-19  2424 -2324.0\n",
            "301 2011-10-29   627 -3120.0\n",
            "302 2011-10-30  3331  2704.0\n",
            "319 2011-11-16  1817 -2378.0\n",
            "341 2011-12-08  3322  2617.0\n",
            "424 2012-02-29  1834 -2529.0\n",
            "425 2012-03-01  4990  3156.0\n",
            "441 2012-03-17  7836  3458.0\n",
            "448 2012-03-24  3372 -4990.0\n",
            "473 2012-04-18  4367 -2324.0\n",
            "474 2012-04-19  6565  2198.0\n",
            "477 2012-04-22  1027 -5597.0\n",
            "478 2012-04-23  3214  2187.0\n",
            "479 2012-04-24  5633  2419.0\n",
            "499 2012-05-14  2843 -3275.0\n",
            "500 2012-05-15  5115  2272.0\n",
            "501 2012-05-16  7424  2309.0\n",
            "506 2012-05-21  4359 -2770.0\n",
            "517 2012-06-01  4127 -3211.0\n",
            "518 2012-06-02  8120  3993.0\n",
            "529 2012-06-13  7421  2449.0\n",
            "568 2012-07-22  7410  2951.0\n",
            "596 2012-08-19  4549 -3316.0\n",
            "617 2012-09-09  8227  2251.0\n",
            "626 2012-09-18  4073 -2796.0\n",
            "627 2012-09-19  7591  3518.0\n",
            "640 2012-10-02  4639 -2139.0\n",
            "641 2012-10-03  7572  2933.0\n",
            "645 2012-10-07  3510 -4455.0\n",
            "658 2012-10-20  8090  2666.0\n",
            "666 2012-10-28  4459 -3393.0\n",
            "667 2012-10-29    22 -4437.0\n",
            "669 2012-10-31  5566  4470.0\n",
            "682 2012-11-13  4094 -2175.0\n",
            "691 2012-11-22  2425 -2721.0\n",
            "695 2012-11-26  5087  2663.0\n",
            "708 2012-12-09  3228 -2354.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Keterangan**\n",
        "* Garis hijau adalah perubahan jumlah penyewaan sepeda harian. Secara keseluruhan, fluktuasi berada di antara garis hijau dan kuning menunjukkan pola harian yang relatif stabil dengan beberapa perubahan signifikan.\n",
        "* Titik merah adalah anomali (perubahan signifikan yang melebihi threshold berdasarkan dua kali standar deviasi dari rata-rata perubahan). Ini adalah hari-hari ketika perubahan jumlah penyewaan sepeda sangat besar, baik peningkatan atau penurunan.\n",
        "\n",
        "**Insight**\n",
        "* Anomali Positif (Peningkatan Penyewaan Drastis):\n",
        "    * Titik merah di atas garis 0 menunjukkan peningkatan besar dalam jumlah penyewaan sepeda.\n",
        "    * Kemungkinan penyebab adalah cuaca cerah, acara khusus atau liburan, perubahan musim (awal musim semi atau musim panas) cenderung meningkatkan jumlah penyewaan.\n",
        "* Anomali Negatif (Penurunan Penyewaan Drastis):\n",
        "    * Titik merah di bawah garis 0 menunjukkan penurunan besar dalam jumlah penyewaan sepeda.\n",
        "    * Kemungkinan penyebab adalah cuaca buruk, hari libur tertentu, atau bisa juga perbaikan operasional sepeda.\n",
        "* Anomali lebih sering terlihat pada tahun 2012 dibandingkan dengan tahun 2011. Hal ini mungkin menunjukkan bahwa penggunaan sepeda menjadi populer di tahun kedua.\n",
        "* Perubahan maksimum berkisar antara -5000 hingga +4000. Fluktuasi ini cukup besar dan menunjukkan variabilitas yang tinggi dalam jumlah penyewaan dari hari ke hari."
      ],
      "metadata": {
        "id": "tERuaYRIGC-V"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ],
      "metadata": {
        "id": "fvjudorZmF5A"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "2. Analisis Faktor Eksternal untuk mengidentifikasi apakah anomali penyewaan berkaitan dengan kondisi cuaca tertentu.\n",
        "\n",
        "    * Gabungkan data anomali dengan data cuaca dan kecepatan angin.\n",
        "        - Kelompokkan data jam ke data harian untuk menghitung statistik rata-rata kecepatan angin (windspeed) dan kondisi cuaca (weathersit) harian.\n",
        "        - Gunakan merge untuk menggabungkan data anomali dengan data cuaca dan kecepatan angin berdasarkan kolom tanggal (dteday).\n",
        "    * Visualisasi Hubungan antara Perubahan Penyewaan, Kecepatan Angin, dan Situasi Cuaca.\n",
        "        - Gunakan scatter plot untuk memvisualisasikan perubahan harian (change) pada penyewaan terhadap kecepatan angin, dengan warna mewakili kondisi cuaca (weathersit).\n",
        "        - Tambahkan garis horizontal untuk menyoroti rata-rata kecepatan angin sebagai referensi.\n",
        "    * Rangkum Dengan Statistik Deskriptif.\n",
        "        - Hitung rata-rata dan standar deviasi untuk perubahan penyewaan (change) dan kecepatan angin (windspeed) berdasarkan situasi cuaca (weathersit).\n",
        "        - Tampilkan jumlah hari anomali untuk setiap kondisi cuaca."
      ],
      "metadata": {
        "id": "78Tvy6r9l6TO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# === Bagian 2: Analisis Hubungan dengan Kondisi Cuaca ===\n",
        "# 1. Aggregate hourly data for weather and windspeed\n",
        "hourly_aggregated = df_hour_data.groupby('dteday').agg({\n",
        "    'weathersit': lambda x: x.mode()[0],  # Modus untuk kondisi cuaca\n",
        "    'windspeed': 'mean',                 # Rata-rata kecepatan angin\n",
        "    'cnt': 'sum'\n",
        "}).reset_index()\n",
        "\n",
        "# 2. Merge anomalies with weather data\n",
        "merged_data = anomalies.merge(hourly_aggregated, on='dteday', how='left')\n",
        "\n",
        "# 3. Visualize anomalies with windspeed and weathersit\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.scatterplot(data=merged_data, x='change', y='windspeed', hue='weathersit', palette='viridis')\n",
        "plt.axhline(df_hour_data['windspeed'].mean(), color='red', linestyle='--', label='Average Windspeed')\n",
        "plt.title('Anomalies vs Windspeed and Weathersit')\n",
        "plt.xlabel('Daily Change in Rentals')\n",
        "plt.ylabel('Windspeed')\n",
        "plt.legend(title='Weathersit')\n",
        "plt.show()\n",
        "\n",
        "# 4. Descriptive statistics for anomalies by weathersit\n",
        "anomalies_weather = merged_data.groupby('weathersit').agg({\n",
        "    'change': ['mean', 'std'],           # Statistik untuk perubahan penyewaan\n",
        "    'windspeed': ['mean', 'std'],        # Statistik untuk kecepatan angin\n",
        "    'dteday': 'count'                    # Jumlah hari anomali\n",
        "}).rename(columns={'dteday': 'count_anomalies'})\n",
        "\n",
        "# Print the DataFrame as a table\n",
        "print(\"Descriptive Statistics for Anomalies (Weather Condition, Windspeed, and Changes):\")\n",
        "anomalies_weather_df = pd.DataFrame(anomalies_weather)\n",
        "print(anomalies_weather_df.to_string())  # Display the DataFrame neatly"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 685
        },
        "id": "w1A8EheMTpgX",
        "outputId": "e15fa2c1-43c6-48f2-f3b2-47dffecbd169"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Descriptive Statistics for Anomalies (Weather Condition, Windspeed, and Changes):\n",
            "                 change              windspeed           count_anomalies\n",
            "                   mean          std      mean       std           count\n",
            "weathersit                                                              \n",
            "1           2256.888889  1780.520839  0.190160  0.097657              18\n",
            "2          -1039.466667  3040.235608  0.225088  0.112905              15\n",
            "3          -2734.000000  1814.966963  0.219633  0.088446              14\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Check the distribution of weathersit in the original dataset\n",
        "print(df_hour_data['weathersit'].value_counts())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uGSAGCLYqQTK",
        "outputId": "c5e3a33f-b772-45c9-dec4-a7babf2ff058"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "weathersit\n",
            "1    11413\n",
            "2     4544\n",
            "3     1419\n",
            "4        3\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Keterangan**\n",
        "\n",
        "1. Rentang windspeed dalam anomali:\n",
        "    * Sebagian besar nilai windspeed berada dalam kisaran 0.2 (ditandai garis merah horizontal).\n",
        "    * Beberapa anomali dengan perubahan besar (baik positif maupun negatif) berada pada windspeed tinggi (> 0.3), yang sepertinya diakibatkan cuaca buruk.\n",
        "2. Distribusi Anomali Berdasarkan Weathersit\n",
        "    * weathersit = 1 (Clear, Few Clouds):\n",
        "      - Didominasi oleh anomali positif (peningkatan rental sepeda).\n",
        "      - Rata-rata change: 2256 (positif), menunjukkan bahwa anomali dalam cuaca cerah cenderung berupa peningkatan besar dalam penyewaan sepeda.\n",
        "      - Standar deviasi change: 1780, menunjukkan variabilitas yang cukup tinggi.\n",
        "      - Rentang windspeed lebih rendah dibandingkan kondisi lain (rata-rata 0.19). Kondisi cerah dan kecepatan angin lebih rendah bisa meningkatkan penyewaan.\n",
        "    * weathersit = 2 (Mist, Cloudy):\n",
        "      - Campuran anomali positif dan negatif.\n",
        "      - Rata-rata change: -1039 (negatif), menunjukkan bahwa anomali di cuaca berkabut atau berawan cenderung berupa penurunan penyewaan.\n",
        "      - Standar deviasi change: 3040, yang lebih tinggi dibandingkan weathersit = 1, mengindikasikan pengaruh yang lebih acak.\n",
        "      - Rata-rata windspeed 0.225, menunjukkan angin yang lebih kuat.\n",
        "    * weathersit = 3 (Light Snow/Rain):\n",
        "      - Didominasi oleh anomali negatif (penurunan rental sepeda).\n",
        "      - Rata-rata change -2734 (negatif), anomali dalam kondisi hujan/salju cenderung menyebabkan penurunan besar penyewaan.\n",
        "      - Standar deviasi change: 1814, serupa dengan weathersit = 1, menunjukkan variabilitas yang cukup tinggi.\n",
        "      - Rata-rata windspeed 0.22, menunjukkan kecepatan angin cukup tinggi dalam kondisi ini.\n",
        "      - Kondisi hujan ringan atau salju mengurangi penyewaan, meski kecepatan angin rendah.\n",
        "\n",
        "\n",
        "**Insight**\n",
        "1. Pengaruh Cuaca terhadap Anomali:\n",
        "    * Cuaca cerah (weathersit = 1) mendukung peningkatan signifikan dalam penyewaan sepeda meskipun ada anomali.\n",
        "    * Cuaca buruk (weathersit = 3) mengurangi penyewaan secara drastis.\n",
        "    * Cuaca sangat buruk (weathersit = 4) tidak menghasilkan anomali dan hanya memiliki 3 data.\n",
        "2. Pengaruh Kecepatan Angin:\n",
        "    * Kecepatan angin memiliki korelasi moderat dengan anomali\n",
        "    * Pada kecepatan angin rendah (sekitar 0.2), cenderung terjadi peningkatan penyewaan (anomali positif), terutama pada cuaca cerah.\n",
        "    * Pada kecepatan angin tinggi (> 0.3), cenderung terjadi penurunan penyewaan, terutama pada kondisi berkabut atau hujan.\n",
        "3. Variasi Berdasarkan Weathersit:\n",
        "    * Standar deviasi paling tinggi ada di weathersit = 2, menunjukkan bahwa cuaca berawan/kabut lebih sulit diprediksi efeknya terhadap anomali."
      ],
      "metadata": {
        "id": "xNUZz4574uQk"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Analisis Lanjutan : Clustering Berdasarkan Waktu\n",
        "\n",
        "## Pendekatan ini menggunakan pengelompokan waktu (Pagi, Siang, Sore, Malam) untuk menemukan pola unik penggunaan sepeda."
      ],
      "metadata": {
        "id": "0_xkjphO8NS9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Kategori waktu berdasarkan jam\n",
        "def categorize_time(hour):\n",
        "    if 5 <= hour <= 11:\n",
        "        return 'Pagi'\n",
        "    elif 12 <= hour <= 16:\n",
        "        return 'Siang'\n",
        "    elif 17 <= hour <= 20:\n",
        "        return 'Sore'\n",
        "    else:\n",
        "        return 'Malam'\n",
        "\n",
        "# Tambahkan kolom baru\n",
        "df_hour_data['TimePeriod'] = df_hour_data['hr'].apply(categorize_time)\n",
        "\n",
        "# Group data berdasarkan TimePeriod dan holiday\n",
        "time_period_clusters = df_hour_data.groupby(['TimePeriod', 'holiday']).agg({\n",
        "    'casual': 'mean',\n",
        "    'registered': 'mean'\n",
        "}).reset_index()\n",
        "\n",
        "# Visualisasi\n",
        "fig, ax = plt.subplots(figsize=(12, 7))\n",
        "\n",
        "bar_width = 0.35  # Lebar bar\n",
        "index = np.arange(len(time_period_clusters['TimePeriod'].unique()))\n",
        "\n",
        "# Warna untuk holiday dan non-holiday\n",
        "holiday_casual_color = '#004c6d'\n",
        "non_holiday_casual_color = '#5886a5'\n",
        "holiday_registered_color = '#488f31'\n",
        "non_holiday_registered_color = '#80ad6d'\n",
        "\n",
        "# Filter data untuk tiap kategori\n",
        "holiday_data = time_period_clusters[time_period_clusters['holiday'] == 1]\n",
        "non_holiday_data = time_period_clusters[time_period_clusters['holiday'] == 0]\n",
        "\n",
        "# Plot stacked bar untuk casual\n",
        "ax.bar(index,\n",
        "       holiday_data['casual'],\n",
        "       bar_width, label='Casual (Holiday)', color=holiday_casual_color)\n",
        "\n",
        "ax.bar(index,\n",
        "       non_holiday_data['casual'],\n",
        "       bar_width, bottom=holiday_data['casual'], label='Casual (Non-Holiday)', color=non_holiday_casual_color)\n",
        "\n",
        "# Plot stacked bar untuk registered\n",
        "ax.bar(index + bar_width,\n",
        "       holiday_data['registered'],\n",
        "       bar_width, label='Registered (Holiday)', color=holiday_registered_color)\n",
        "\n",
        "ax.bar(index + bar_width,\n",
        "       non_holiday_data['registered'],\n",
        "       bar_width, bottom=holiday_data['registered'], label='Registered (Non-Holiday)', color=non_holiday_registered_color)\n",
        "\n",
        "# Label dan keterangan\n",
        "ax.set_xlabel('Time Period')\n",
        "ax.set_ylabel('Average Rentals')\n",
        "ax.set_title('Average Rentals by Time Period (Casual vs Registered)')\n",
        "ax.set_xticks(index + bar_width / 2)  # Pusatkan label di antara dua bar\n",
        "ax.set_xticklabels(['Pagi', 'Siang', 'Sore', 'Malam'])\n",
        "ax.legend()\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 688
        },
        "id": "Mc-XC5YcB4Kk",
        "outputId": "8e6626c5-b10b-47d0-fda4-d1935d2ca4ff"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x700 with 1 Axes>"
            ],
            "image/png": 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MmDAh//7v/54+ffrkC1/4Qpo0aZLzzjsvq1atygcffJAkWbp0aY455pgaa/3pMbB3GTRoUN5+++08+OCD6devX5544on06NEjU6dO3eb8e++9N8cff3xat26d6urqfOc738myZctqzGnfvn2aNGlSPm7Tpk1WrFiRJHnttdeycePGGr2lWbNm6dKly66/OaAidtRXlixZkrZt26Zt27bl+YcddliaN2+eJUuWlMfatWuXAw44oHy8aNGirFu3Li1btizvxqqurs7rr7++w8d4gD3bAQcckFNPPTVTp07NnXfemVNPPTX7779/jTkvv/xyzj333HTs2DFNmzZN+/btk2Sr3z/+t9tvvz09e/bMAQcckOrq6vz4xz/eav6XvvSl1Kr1/6OFVq1apVu3buXj2rVrp2XLluXfYeB/E0rBDpx44olZuHBhXn755fzP//xPpk2blpUrV+a0007LEUcckRkzZmTBggW5/fbbk/zxDUSBfVeDBg1y0kknZezYsXnyySczbNiwjB8/fqt5Tz31VIYMGZJvfetbmTlzZp577rl8+9vf3qqH1K1bt8ZxVVXVdrfYA3unT9tXtqdx48Y1jtetW5c2bdpk4cKFNb6WLl2aa665ZleXDxRoxIgRmTp1aqZNm5YRI0Zsdb5///5ZvXp1pkyZknnz5mXevHlJtv83zPTp03P11Vfn/PPPz6OPPpqFCxdm+PDhn+r3Fb/D8Gn59D3YgcaNG6dTp041xhYsWJAtW7bk5ptvLv+PwJ8+V92lS5c8/fTTNcb+9BjY+x122GE13tz8Y08++WTatWuXb3/72+WxN9988zOt3bFjx9StWzdPP/10+ZN13nvvvbz00kvp3bv3TtUN7Lk+7itdu3bNW2+9lbfeequ8W2rx4sVZs2ZNDjvssO1e36NHj7z77rupU6dOeZcEsHfo169fNmzYkKqqqpx88sk1zq1atSpLly7NlClT8rWvfS1J8tvf/naH682dOzfHHXdcLrvssvKYHZXsakIp+Iw6deqUjRs35p/+6Z/Sv3//zJ07N3fccUeNOVdccUV69+6dSZMmpX///nn88cfz8MMPp6qqqkJVA7vTqlWrctZZZ2XEiBE54ogj0qRJkzzzzDO56aabMmDAgK3mH3rooVm2bFmmT5+eo48+Og899FB+8YtffKbXbNKkSYYOHVr+ZJsDDzww48ePT61atfQa2At8Ul/p27dvunXrliFDhuSWW27Jpk2bctlll+XrX/96jjrqqO2u27dv3xx77LEZOHBgbrrppnTu3Dlvv/12HnrooZxxxhk7vBbYs9WuXbv8+G7t2rVrnGvRokVatmyZH//4x2nTpk2WLVuWv/3bv93heoceemjuuuuuPPLII+nQoUN++tOf5umnn06HDh122z2w7/H4HnxG3bt3z6RJk3LjjTfm8MMPz913350bbrihxpzjjz8+d9xxRyZNmpTu3btn1qxZueqqq8ofxQzsXaqrq9OrV69Mnjw5vXv3zuGHH56xY8fmwgsvzA9+8IOt5p9++um56qqrMnLkyBx55JF58sknM3bs2M/8upMmTcqxxx6b0047LX379s3xxx+frl276jWwF/ikvlJVVZVf/vKXadGiRXr37p2+ffumY8eOuffee3e4blVVVX71q1+ld+/eGT58eDp37pxzzjknb775Zlq1alXQ3QG7S9OmTdO0adOtxmvVqpXp06dnwYIFOfzww3PVVVfle9/73g7Xuvjii3PmmWdm8ODB6dWrV1atWlVj1xTsClWlUqlU6SJgX3DhhRfmxRdfzJw5cypdCrCXWr9+fb7whS/k5ptvzvnnn1/pcgAAYIc8vge7yfe///2cdNJJady4cR5++OFMmzYtP/zhDytdFrAXee655/Liiy/mmGOOyXvvvZeJEycmyTYfGQQAgD2NUAp2k/nz5+emm27K2rVr07Fjx9x222254IILKl0WsJf5/ve/n6VLl6ZevXrp2bNn5syZs9VHQAMAwJ7I43sAAAAAFM4bnQMAAABQOKEUAAAAAIUTSgEAAABQOKEUAAAAAIUTSgEAAABQOKEUAMBnMGzYsAwcOLDSZewyTzzxRKqqqrJmzZqdWqd9+/a55ZZbdklNAMC+QSgFAPD/VFVV7fBrwoQJufXWWzN16tTCa/s4PPr4q1WrVhk0aFBee+21nVr3uOOOyzvvvJNmzZrtokoBAD6dOpUuAABgT/HOO++Uv7/33nszbty4LF26tDxWXV2d6urqSpRWtnTp0jRp0iQvv/xyLrroovTv3z//+Z//mdq1a3/mtTZu3Jh69eqldevWu6FSAIAds1MKAOD/ad26dfmrWbNmqaqqqjFWXV291eN7J5xwQq644oqMGjUqLVq0SKtWrTJlypSsX78+w4cPT5MmTdKpU6c8/PDDNV7rv/7rv3LKKaekuro6rVq1ynnnnZc//OEPn1jjgQcemDZt2qR3794ZN25cFi9enFdeeSVJ8stf/jI9evRIgwYN0rFjx1x33XXZtGlT+dqqqqr88z//c04//fQ0btw4119//TYf35sxY0a+9KUvpX79+mnfvn1uvvnmGjWsWLEi/fv3T8OGDdOhQ4fcfffdf8ZPGwDY1wmlAAB20rRp07L//vtn/vz5ueKKK3LppZfmrLPOynHHHZdnn3023/zmN3Peeeflgw8+SJKsWbMm3/jGN/LlL385zzzzTGbNmpXly5fn7LPP/kyv27BhwyTJhg0bMmfOnPzVX/1VrrzyyixevDg/+tGPMnXq1Fx//fU1rpkwYULOOOOMPP/88xkxYsRWay5YsCBnn312zjnnnDz//POZMGFCxo4dW+ORxWHDhuWtt97Kr3/96/z85z/PD3/4w6xYseIz/tQAgH1dValUKlW6CACAPc3UqVMzatSord4AfNiwYVmzZk0eeOCBJH/cKbV58+bMmTMnSbJ58+Y0a9YsZ555Zu66664kybvvvps2bdrkqaeeyle+8pV897vfzZw5c/LII4+U1/3973+ftm3bZunSpencufNW9TzxxBM58cQT89///d9p3rx53nnnnfzlX/5l3nzzzbz22mv51re+lT59+mTMmDHla/71X/811157bd5+++0kf9wpNWrUqEyePHm76w4ZMiQrV67Mo48+Wp5z7bXX5qGHHsoLL7yQl156KV26dMn8+fNz9NFHJ0lefPHFdO3aNZMnT86oUaP+/B86ALBP8Z5SAAA76Ygjjih/X7t27bRs2TLdunUrj7Vq1SpJyruJFi1alF//+tfbfH+qV199dZuh1McOPvjglEqlfPDBB+nevXtmzJiRevXqZdGiRZk7d26NnVGbN2/Ohx9+mA8++CCNGjVKkhx11FE7vJclS5ZkwIABNcaOP/743HLLLdm8eXOWLFmSOnXqpGfPnuXzX/ziF9O8efMdrgsA8KeEUgAAO6lu3bo1jquqqmqMVVVVJUm2bNmSJFm3bl369++fG2+8cau12rRps8PXmjNnTpo2bZoDDzwwTZo0KY+vW7cu1113Xc4888ytrmnQoEH5+8aNG3+KOwIA2P2EUgAABevRo0dmzJiR9u3bp06dz/brWIcOHba5K6lHjx5ZunRpOnXqtFO1de3aNXPnzq0xNnfu3HTu3Dm1a9fOF7/4xWzatCkLFiwoP763dOnSrR5zBAD4JN7oHACgYJdffnlWr16dc889N08//XReffXVPPLIIxk+fHg2b978Z605bty43HXXXbnuuuvywgsvZMmSJZk+fXq+853vfKZ1/vqv/zqzZ8/O3//93+ell17KtGnT8oMf/CBXX311kqRLly7p169fLr744sybNy8LFizIBRdcUH7TdQCAT0soBQBQsIMOOihz587N5s2b881vfjPdunXLqFGj0rx589Sq9ef9enbyySdn5syZefTRR3P00UfnK1/5SiZPnpx27dp9pnV69OiRn/3sZ5k+fXoOP/zwjBs3LhMnTsywYcPKc+68884cdNBB+frXv54zzzwzF110UQ488MA/q24AYN/l0/cAAAAAKJydUgAAAAAUTigFAAAAQOGEUgAAAAAUTigFAAAAQOGEUgAAAAAUTigFAAAAQOGEUgAAAAAUTigFAAAAQOGEUgAAAAAUTigFAAAAQOGEUgAAAAAUTigFAAAAQOH+L4jDGIVZI7nyAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Insight**\n",
        "* Pada semua kategori, kontribusi pengguna terdaftar (registered) lebih signifikan dibanding umum (casual), baik hari libur ataupun kerja.\n",
        "* Pada kategori \"Malam\", jumlah penyewaan sepeda (pelanggan umum maupun terdaftar) paling tinggi dibandingkan periode lainnya.\n",
        "* Penyewaan sepeda pada kategori \"Pagi\" menunjukkan aktivitas yang lebih rendah dibandingkan kategori waktu lainnya.\n",
        "* Untuk pelanggan umum (casual), penyewaan cenderung lebih tinggi selama hari libur (holiday) di semua periode waktu.\n",
        "* Untuk pelanggan terdaftar (registered), penyewaan lebih dominan pada hari kerja (non-holiday), terutama pada kategori waktu \"Siang\" dan \"Malam\"."
      ],
      "metadata": {
        "id": "dzkZtJ1jYNwe"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_WeHlCeX8DC2"
      },
      "source": [
        "## Conclusion"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZTcyR48Y8DC2"
      },
      "source": [
        "**Conclusion pertanyaan 1**\n",
        "- Data ini memperlihatkan pentingnya peran layanan sepeda sebagai alat transportasi harian bagi pelanggan terdaftar (registered), sementara bagi pelanggan umum (casual), sepeda lebih banyak digunakan untuk aktivitas rekreasi.\n",
        "- Peningkatan fasilitas dan ketersediaan sepeda selama hari kerja mungkin lebih penting untuk memenuhi kebutuhan pengguna terdaftar (registered).\n",
        "- Pada akhir pekan, fokus pada pelanggan umum (casual), seperti promosi atau kampanye wisata bersepeda, dapat menarik lebih banyak pengguna.\n",
        "\n",
        "**Conclusion pertanyaan 2**\n",
        "- Pelanggan terdaftar (registered) mendominasi penyewaan selama jam sibuk (pagi dan sore), mengindikasikan penggunaan layanan sebagai alat transportasi utama.\n",
        "- Pelanggan umum (casual) memiliki volume penyewaan yang jauh lebih rendah dibandingkan pengguna terdaftar, tetapi konsisten sepanjang hari.\n",
        "- Perbedaan pola ini mengindikasikan bahwa pengguna terdaftar lebih terikat pada jadwal harian (misalnya, pekerjaan atau sekolah), sementara pelanggan umum (casual) lebih fleksibel dalam memilih waktu penyewaan.\n",
        "- Untuk memberi pelayanan maksimal kepada pelanggan terdaftar (registered), ketersediaan sepeda selama jam sibuk (pagi dan sore) sangat penting.\n",
        "- Untuk pelanggan umum (casual), bisa digunakan promosi dan layanan tambahan di sore hari atau akhir pekan agar dapat meningkatkan penyewaan.\n",
        "\n",
        "**Conclusion pertanyaan 3**\n",
        "- Cuaca cerah cenderung meningkatkan penyewaan meskipun ada anomali, sementara cuaca buruk menurunkan penyewaan.\n",
        "- Kecepatan angin berpengaruh sedikit, hanya ketika dikombinasikan dengan kondisi cuaca tertentu.\n",
        "\n",
        "**Conclusion Analisis Lanjutan : Clustering Berdasarkan Waktu**\n",
        "- Waktu Sore dan Malam adalah periode yang paling banyak digunakan terutama oleh pengguna terdaftar. Oleh karena itu, promosi yang menargetkan kelompok ini sebaiknya dilakukan pada periode tersebut.\n",
        "- Untuk meningkatkan penggunaan pada waktu Pagi, promosi khusus seperti diskon pagi hari dapat diterapkan.\n",
        "- Selama hari libur (holiday), pengguna kasual mendominasi. Ini menunjukkan bahwa promosi yang diarahkan pada wisatawan atau aktivitas rekreasi dapat efektif pada periode ini.\n",
        "_ Penambahan atau penyebaran sepeda yang lebih banyak pada waktu Sore dan Malam dapat membantu mengatasi lonjakan permintaan pada periode tersebut.\n",
        "- Untuk hari kerja (non-holiday), fokus pada pengguna terdaftar dapat mencakup program loyalitas atau fasilitas tambahan untuk meningkatkan pengalaman pelanggan.\n",
        "- Pengguna terdaftar lebih dominan pada hari kerja, yang mengindikasikan bahwa layanan ini digunakan sebagai bagian dari rutinitas. Memperkenalkan layanan tambahan seperti rute premium atau paket langganan bulanan dapat meningkatkan rasa puas penggunaan layanan.\n"
      ]
    }
  ],
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