London_Bike_Sharing_Data_Analysis&Visualization.ipynb

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    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import zipfile\n",
        "import seaborn as sb"
      ],
      "metadata": {
        "id": "3nMzm46G3T4W"
      },
      "execution_count": 2,
      "outputs": []
    },
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Data Preprocessing"
      ],
      "metadata": {
        "id": "eOiNWjOfpBeu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "bikes = pd.read_csv(\"/content/drive/MyDrive/Colab Notebooks/Data Analyst Portfolio Projects/london_merged.csv\")\n",
        "bikes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "yaSEfN4X3E9L",
        "outputId": "5cf276af-bbbd-465c-bd46-0c629a3380e8"
      },
      "execution_count": 4,
      "outputs": [
        {
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              "                 timestamp   cnt   t1   t2    hum  wind_speed  weather_code  \\\n",
              "0      2015-01-04 00:00:00   182  3.0  2.0   93.0         6.0           3.0   \n",
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              "2      2015-01-04 02:00:00   134  2.5  2.5   96.5         0.0           1.0   \n",
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              "4      2015-01-04 04:00:00    47  2.0  0.0   93.0         6.5           1.0   \n",
              "...                    ...   ...  ...  ...    ...         ...           ...   \n",
              "17409  2017-01-03 19:00:00  1042  5.0  1.0   81.0        19.0           3.0   \n",
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              "\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "bikes",
              "summary": "{\n  \"name\": \"bikes\",\n  \"rows\": 17414,\n  \"fields\": [\n    {\n      \"column\": \"timestamp\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 17414,\n        \"samples\": [\n          \"2016-08-17 04:00:00\",\n          \"2016-04-08 07:00:00\",\n          \"2015-11-10 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cnt\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1085,\n        \"min\": 0,\n        \"max\": 7860,\n        \"num_unique_values\": 3781,\n        \"samples\": [\n          1417,\n          2143,\n          3979\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"t1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.571817562920526,\n        \"min\": -1.5,\n        \"max\": 34.0,\n        \"num_unique_values\": 73,\n        \"samples\": [\n          1.5,\n          33.5,\n          4.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"t2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6.615144673127893,\n        \"min\": -6.0,\n        \"max\": 34.0,\n        \"num_unique_values\": 82,\n        \"samples\": [\n          14.0,\n          2.0,\n          11.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hum\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.313186095310977,\n        \"min\": 20.5,\n        \"max\": 100.0,\n        \"num_unique_values\": 143,\n        \"samples\": [\n          29.5,\n          71.5,\n          40.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wind_speed\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.894570329361161,\n        \"min\": 0.0,\n        \"max\": 56.5,\n        \"num_unique_values\": 103,\n        \"samples\": [\n          30.0,\n          2.0,\n          23.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"weather_code\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.341163284645666,\n        \"min\": 1.0,\n        \"max\": 26.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          3.0,\n          1.0,\n          26.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_holiday\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1468543671527596,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1.0,\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_weekend\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.45161891757102296,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.0,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"season\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1189108748277623,\n        \"min\": 0.0,\n        \"max\": 3.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0.0,\n          2.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#explore the data\n",
        "bikes.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9cwMuKHypSs1",
        "outputId": "5a7fa197-2162-40f1-e4c3-7e149037b0ed"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 17414 entries, 0 to 17413\n",
            "Data columns (total 10 columns):\n",
            " #   Column        Non-Null Count  Dtype  \n",
            "---  ------        --------------  -----  \n",
            " 0   timestamp     17414 non-null  object \n",
            " 1   cnt           17414 non-null  int64  \n",
            " 2   t1            17414 non-null  float64\n",
            " 3   t2            17414 non-null  float64\n",
            " 4   hum           17414 non-null  float64\n",
            " 5   wind_speed    17414 non-null  float64\n",
            " 6   weather_code  17414 non-null  float64\n",
            " 7   is_holiday    17414 non-null  float64\n",
            " 8   is_weekend    17414 non-null  float64\n",
            " 9   season        17414 non-null  float64\n",
            "dtypes: float64(8), int64(1), object(1)\n",
            "memory usage: 1.3+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "bikes.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uG7h7dOOsEl_",
        "outputId": "501692d3-afae-4884-945c-b01574406ab6"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(17414, 10)"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# count the unique values in the weather_code column\n",
        "bikes[\"weather_code\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RnPffjIRsIU0",
        "outputId": "3426c0aa-a322-47c9-edc3-d320b1f0b151"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.0     6150\n",
              "2.0     4034\n",
              "3.0     3551\n",
              "7.0     2141\n",
              "4.0     1464\n",
              "26.0      60\n",
              "10.0      14\n",
              "Name: weather_code, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# count the unique values in the season column\n",
        "bikes[\"season\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sjnF_z7fsoYG",
        "outputId": "35a3a062-0990-400e-8742-57d63b9f50c2"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.0    4394\n",
              "1.0    4387\n",
              "3.0    4330\n",
              "2.0    4303\n",
              "Name: season, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# specifying the column names that I want to use\n",
        "new_cols_dict = {\n",
        "   'timestamp' : 'time',\n",
        "    'cnt':'count',\n",
        "    't1':'temp_real_C',\n",
        "    't2':'temp_feels_like_C',\n",
        "    'hum':'humidity_percent',\n",
        "    'wind_speed':'wind_speed_kph',\n",
        "    'weather_code':'weather',\n",
        "    'is_holiday':'is_holiday',\n",
        "    'is_weekend':'is_weekend',\n",
        "    'season':'season'\n",
        "\n",
        "}\n",
        "\n",
        "# Renaming the columns to the specified column names\n",
        "bikes.rename(new_cols_dict, axis=1, inplace=True)"
      ],
      "metadata": {
        "id": "EwR_Bur6s8CL"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# changing the humidity values to percentage (i.e. a value between 0 and 1)\n",
        "bikes.humidity_percent = bikes.humidity_percent / 100"
      ],
      "metadata": {
        "id": "vca89k14tW-K"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bikes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "wzMst3uGvvVs",
        "outputId": "01e10c52-e89b-4e26-f8a2-1dda4ebdd6ea"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      time  count  temp_real_C  temp_feels_like_C  \\\n",
              "0      2015-01-04 00:00:00    182          3.0                2.0   \n",
              "1      2015-01-04 01:00:00    138          3.0                2.5   \n",
              "2      2015-01-04 02:00:00    134          2.5                2.5   \n",
              "3      2015-01-04 03:00:00     72          2.0                2.0   \n",
              "4      2015-01-04 04:00:00     47          2.0                0.0   \n",
              "...                    ...    ...          ...                ...   \n",
              "17409  2017-01-03 19:00:00   1042          5.0                1.0   \n",
              "17410  2017-01-03 20:00:00    541          5.0                1.0   \n",
              "17411  2017-01-03 21:00:00    337          5.5                1.5   \n",
              "17412  2017-01-03 22:00:00    224          5.5                1.5   \n",
              "17413  2017-01-03 23:00:00    139          5.0                1.0   \n",
              "\n",
              "       humidity_percent  wind_speed_kph  weather  is_holiday  is_weekend  \\\n",
              "0                 0.930             6.0      3.0         0.0         1.0   \n",
              "1                 0.930             5.0      1.0         0.0         1.0   \n",
              "2                 0.965             0.0      1.0         0.0         1.0   \n",
              "3                 1.000             0.0      1.0         0.0         1.0   \n",
              "4                 0.930             6.5      1.0         0.0         1.0   \n",
              "...                 ...             ...      ...         ...         ...   \n",
              "17409             0.810            19.0      3.0         0.0         0.0   \n",
              "17410             0.810            21.0      4.0         0.0         0.0   \n",
              "17411             0.785            24.0      4.0         0.0         0.0   \n",
              "17412             0.760            23.0      4.0         0.0         0.0   \n",
              "17413             0.760            22.0      2.0         0.0         0.0   \n",
              "\n",
              "       season  \n",
              "0         3.0  \n",
              "1         3.0  \n",
              "2         3.0  \n",
              "3         3.0  \n",
              "4         3.0  \n",
              "...       ...  \n",
              "17409     3.0  \n",
              "17410     3.0  \n",
              "17411     3.0  \n",
              "17412     3.0  \n",
              "17413     3.0  \n",
              "\n",
              "[17414 rows x 10 columns]"
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              "      <td>2015-01-04 03:00:00</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2015-01-04 04:00:00</td>\n",
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              "      <td>6.5</td>\n",
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              "    <tr>\n",
              "      <th>17409</th>\n",
              "      <td>2017-01-03 19:00:00</td>\n",
              "      <td>1042</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.810</td>\n",
              "      <td>19.0</td>\n",
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              "      <th>17410</th>\n",
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              "      <td>541</td>\n",
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              "      <th>17411</th>\n",
              "      <td>2017-01-03 21:00:00</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "bikes",
              "summary": "{\n  \"name\": \"bikes\",\n  \"rows\": 17414,\n  \"fields\": [\n    {\n      \"column\": \"time\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 17414,\n        \"samples\": [\n          \"2016-08-17 04:00:00\",\n          \"2016-04-08 07:00:00\",\n          \"2015-11-10 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1085,\n        \"min\": 0,\n        \"max\": 7860,\n        \"num_unique_values\": 3781,\n        \"samples\": [\n          1417,\n          2143,\n          3979\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"temp_real_C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.571817562920526,\n        \"min\": -1.5,\n        \"max\": 34.0,\n        \"num_unique_values\": 73,\n        \"samples\": [\n          1.5,\n          33.5,\n          4.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"temp_feels_like_C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6.615144673127893,\n        \"min\": -6.0,\n        \"max\": 34.0,\n        \"num_unique_values\": 82,\n        \"samples\": [\n          14.0,\n          2.0,\n          11.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"humidity_percent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.14313186095310976,\n        \"min\": 0.205,\n        \"max\": 1.0,\n        \"num_unique_values\": 143,\n        \"samples\": [\n          0.295,\n          0.715,\n          0.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wind_speed_kph\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.894570329361161,\n        \"min\": 0.0,\n        \"max\": 56.5,\n        \"num_unique_values\": 103,\n        \"samples\": [\n          30.0,\n          2.0,\n          23.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"weather\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.341163284645666,\n        \"min\": 1.0,\n        \"max\": 26.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          3.0,\n          1.0,\n          26.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_holiday\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1468543671527596,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1.0,\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_weekend\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.45161891757102296,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.0,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"season\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1189108748277623,\n        \"min\": 0.0,\n        \"max\": 3.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0.0,\n          2.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# creating a weather dictionary so that we can map the integers to the actual written values\n",
        "weather_dict = {\n",
        "    '1.0':'Clear',\n",
        "    '2.0':'Scattered clouds',\n",
        "    '3.0':'Broken clouds',\n",
        "    '4.0':'Cloudy',\n",
        "    '7.0':'Rain',\n",
        "    '10.0':'Rain with thunderstorm',\n",
        "    '26.0':'Snowfall'\n",
        "}\n",
        "# changing the weather column data type to string\n",
        "bikes.weather = bikes.weather.astype('str')\n",
        "# mapping the values to the actual written weathers\n",
        "bikes.weather = bikes.weather.map(weather_dict)"
      ],
      "metadata": {
        "id": "B2L7N3dwvxdK"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bikes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "Z7-TGQpFv4Cf",
        "outputId": "0e07f3af-2a10-41d2-f401-509cb242ccc6"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      time  count  temp_real_C  temp_feels_like_C  \\\n",
              "0      2015-01-04 00:00:00    182          3.0                2.0   \n",
              "1      2015-01-04 01:00:00    138          3.0                2.5   \n",
              "2      2015-01-04 02:00:00    134          2.5                2.5   \n",
              "3      2015-01-04 03:00:00     72          2.0                2.0   \n",
              "4      2015-01-04 04:00:00     47          2.0                0.0   \n",
              "...                    ...    ...          ...                ...   \n",
              "17409  2017-01-03 19:00:00   1042          5.0                1.0   \n",
              "17410  2017-01-03 20:00:00    541          5.0                1.0   \n",
              "17411  2017-01-03 21:00:00    337          5.5                1.5   \n",
              "17412  2017-01-03 22:00:00    224          5.5                1.5   \n",
              "17413  2017-01-03 23:00:00    139          5.0                1.0   \n",
              "\n",
              "       humidity_percent  wind_speed_kph           weather  is_holiday  \\\n",
              "0                 0.930             6.0     Broken clouds         0.0   \n",
              "1                 0.930             5.0             Clear         0.0   \n",
              "2                 0.965             0.0             Clear         0.0   \n",
              "3                 1.000             0.0             Clear         0.0   \n",
              "4                 0.930             6.5             Clear         0.0   \n",
              "...                 ...             ...               ...         ...   \n",
              "17409             0.810            19.0     Broken clouds         0.0   \n",
              "17410             0.810            21.0            Cloudy         0.0   \n",
              "17411             0.785            24.0            Cloudy         0.0   \n",
              "17412             0.760            23.0            Cloudy         0.0   \n",
              "17413             0.760            22.0  Scattered clouds         0.0   \n",
              "\n",
              "       is_weekend  season  \n",
              "0             1.0     3.0  \n",
              "1             1.0     3.0  \n",
              "2             1.0     3.0  \n",
              "3             1.0     3.0  \n",
              "4             1.0     3.0  \n",
              "...           ...     ...  \n",
              "17409         0.0     3.0  \n",
              "17410         0.0     3.0  \n",
              "17411         0.0     3.0  \n",
              "17412         0.0     3.0  \n",
              "17413         0.0     3.0  \n",
              "\n",
              "[17414 rows x 10 columns]"
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              "      <th></th>\n",
              "      <th>time</th>\n",
              "      <th>count</th>\n",
              "      <th>temp_real_C</th>\n",
              "      <th>temp_feels_like_C</th>\n",
              "      <th>humidity_percent</th>\n",
              "      <th>wind_speed_kph</th>\n",
              "      <th>weather</th>\n",
              "      <th>is_holiday</th>\n",
              "      <th>is_weekend</th>\n",
              "      <th>season</th>\n",
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              "      <td>2015-01-04 00:00:00</td>\n",
              "      <td>182</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.930</td>\n",
              "      <td>6.0</td>\n",
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              "      <td>2.5</td>\n",
              "      <td>0.930</td>\n",
              "      <td>5.0</td>\n",
              "      <td>Clear</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
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              "      <th>2</th>\n",
              "      <td>2015-01-04 02:00:00</td>\n",
              "      <td>134</td>\n",
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              "      <td>2.5</td>\n",
              "      <td>0.965</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Clear</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2015-01-04 03:00:00</td>\n",
              "      <td>72</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Clear</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2015-01-04 04:00:00</td>\n",
              "      <td>47</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.930</td>\n",
              "      <td>6.5</td>\n",
              "      <td>Clear</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17409</th>\n",
              "      <td>2017-01-03 19:00:00</td>\n",
              "      <td>1042</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.810</td>\n",
              "      <td>19.0</td>\n",
              "      <td>Broken clouds</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17410</th>\n",
              "      <td>2017-01-03 20:00:00</td>\n",
              "      <td>541</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.810</td>\n",
              "      <td>21.0</td>\n",
              "      <td>Cloudy</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17411</th>\n",
              "      <td>2017-01-03 21:00:00</td>\n",
              "      <td>337</td>\n",
              "      <td>5.5</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.785</td>\n",
              "      <td>24.0</td>\n",
              "      <td>Cloudy</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17412</th>\n",
              "      <td>2017-01-03 22:00:00</td>\n",
              "      <td>224</td>\n",
              "      <td>5.5</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.760</td>\n",
              "      <td>23.0</td>\n",
              "      <td>Cloudy</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17413</th>\n",
              "      <td>2017-01-03 23:00:00</td>\n",
              "      <td>139</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.760</td>\n",
              "      <td>22.0</td>\n",
              "      <td>Scattered clouds</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>17414 rows × 10 columns</p>\n",
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              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('bikes')\"\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "bikes",
              "summary": "{\n  \"name\": \"bikes\",\n  \"rows\": 17414,\n  \"fields\": [\n    {\n      \"column\": \"time\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 17414,\n        \"samples\": [\n          \"2016-08-17 04:00:00\",\n          \"2016-04-08 07:00:00\",\n          \"2015-11-10 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1085,\n        \"min\": 0,\n        \"max\": 7860,\n        \"num_unique_values\": 3781,\n        \"samples\": [\n          1417,\n          2143,\n          3979\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"temp_real_C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.571817562920526,\n        \"min\": -1.5,\n        \"max\": 34.0,\n        \"num_unique_values\": 73,\n        \"samples\": [\n          1.5,\n          33.5,\n          4.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"temp_feels_like_C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6.615144673127893,\n        \"min\": -6.0,\n        \"max\": 34.0,\n        \"num_unique_values\": 82,\n        \"samples\": [\n          14.0,\n          2.0,\n          11.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"humidity_percent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.14313186095310976,\n        \"min\": 0.205,\n        \"max\": 1.0,\n        \"num_unique_values\": 143,\n        \"samples\": [\n          0.295,\n          0.715,\n          0.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wind_speed_kph\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.894570329361161,\n        \"min\": 0.0,\n        \"max\": 56.5,\n        \"num_unique_values\": 103,\n        \"samples\": [\n          30.0,\n          2.0,\n          23.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"weather\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"Broken clouds\",\n          \"Clear\",\n          \"Snowfall\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_holiday\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1468543671527596,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1.0,\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_weekend\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.45161891757102296,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.0,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"season\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1189108748277623,\n        \"min\": 0.0,\n        \"max\": 3.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0.0,\n          2.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# creating a season dictionary so that we can map the integers 0-3 to the actual written values\n",
        "season_dict = {\n",
        "    '0.0':'spring',\n",
        "    '1.0':'summer',\n",
        "    '2.0':'autumn',\n",
        "    '3.0':'winter'\n",
        "}\n",
        "\n",
        "# changing the seasons column data type to string\n",
        "bikes.season = bikes.season.astype('str')\n",
        "# mapping the values 0-3 to the actual written seasons\n",
        "bikes.season = bikes.season.map(season_dict)"
      ],
      "metadata": {
        "id": "hsjviznnwKQK"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bikes.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "LqliUTUvwNvT",
        "outputId": "0809b60c-c0ec-41a7-d71b-17ae21bd6ec3"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  time  count  temp_real_C  temp_feels_like_C  \\\n",
              "0  2015-01-04 00:00:00    182          3.0                2.0   \n",
              "1  2015-01-04 01:00:00    138          3.0                2.5   \n",
              "2  2015-01-04 02:00:00    134          2.5                2.5   \n",
              "3  2015-01-04 03:00:00     72          2.0                2.0   \n",
              "4  2015-01-04 04:00:00     47          2.0                0.0   \n",
              "\n",
              "   humidity_percent  wind_speed_kph        weather  is_holiday  is_weekend  \\\n",
              "0             0.930             6.0  Broken clouds         0.0         1.0   \n",
              "1             0.930             5.0          Clear         0.0         1.0   \n",
              "2             0.965             0.0          Clear         0.0         1.0   \n",
              "3             1.000             0.0          Clear         0.0         1.0   \n",
              "4             0.930             6.5          Clear         0.0         1.0   \n",
              "\n",
              "   season  \n",
              "0  winter  \n",
              "1  winter  \n",
              "2  winter  \n",
              "3  winter  \n",
              "4  winter  "
            ],
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              "      <th></th>\n",
              "      <th>time</th>\n",
              "      <th>count</th>\n",
              "      <th>temp_real_C</th>\n",
              "      <th>temp_feels_like_C</th>\n",
              "      <th>humidity_percent</th>\n",
              "      <th>wind_speed_kph</th>\n",
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              "      <th>season</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2015-01-04 00:00:00</td>\n",
              "      <td>182</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.930</td>\n",
              "      <td>6.0</td>\n",
              "      <td>Broken clouds</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>winter</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2015-01-04 01:00:00</td>\n",
              "      <td>138</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0.930</td>\n",
              "      <td>5.0</td>\n",
              "      <td>Clear</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>winter</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2015-01-04 02:00:00</td>\n",
              "      <td>134</td>\n",
              "      <td>2.5</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0.965</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Clear</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>winter</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2015-01-04 03:00:00</td>\n",
              "      <td>72</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>1.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Clear</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>winter</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2015-01-04 04:00:00</td>\n",
              "      <td>47</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.930</td>\n",
              "      <td>6.5</td>\n",
              "      <td>Clear</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "bikes",
              "summary": "{\n  \"name\": \"bikes\",\n  \"rows\": 17414,\n  \"fields\": [\n    {\n      \"column\": \"time\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 17414,\n        \"samples\": [\n          \"2016-08-17 04:00:00\",\n          \"2016-04-08 07:00:00\",\n          \"2015-11-10 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1085,\n        \"min\": 0,\n        \"max\": 7860,\n        \"num_unique_values\": 3781,\n        \"samples\": [\n          1417,\n          2143,\n          3979\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"temp_real_C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.571817562920526,\n        \"min\": -1.5,\n        \"max\": 34.0,\n        \"num_unique_values\": 73,\n        \"samples\": [\n          1.5,\n          33.5,\n          4.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"temp_feels_like_C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6.615144673127893,\n        \"min\": -6.0,\n        \"max\": 34.0,\n        \"num_unique_values\": 82,\n        \"samples\": [\n          14.0,\n          2.0,\n          11.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"humidity_percent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.14313186095310976,\n        \"min\": 0.205,\n        \"max\": 1.0,\n        \"num_unique_values\": 143,\n        \"samples\": [\n          0.295,\n          0.715,\n          0.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wind_speed_kph\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.894570329361161,\n        \"min\": 0.0,\n        \"max\": 56.5,\n        \"num_unique_values\": 103,\n        \"samples\": [\n          30.0,\n          2.0,\n          23.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"weather\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"Broken clouds\",\n          \"Clear\",\n          \"Snowfall\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_holiday\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1468543671527596,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1.0,\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_weekend\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.45161891757102296,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0.0,\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"season\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"spring\",\n          \"autumn\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# writing the final dataframe to an excel file that we will use in our Tableau visualisations.\n",
        "#The file will be the 'london_bikes_final.xlsx' file and the sheet name is 'Data'\n",
        "\n",
        "#bikes.to_excel('london_bikes_final.xlsx', sheet_name='Data')"
      ],
      "metadata": {
        "id": "-o4La6miwcoM"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "g04rBmkQoGaR"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Exploratory Data Analysis (EDA)"
      ],
      "metadata": {
        "id": "vhbOBYFVladi"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "To analyze relationships between variables, trends over time, or seasonal variations."
      ],
      "metadata": {
        "id": "vnTBldAYl7WP"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### 1- Univariate Analysis"
      ],
      "metadata": {
        "id": "fRvk4ZsenMaU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "bikes.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a0shiYXZnZ8e",
        "outputId": "bed3d635-62c6-454d-83d8-5ac1a76e4592"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 17414 entries, 0 to 17413\n",
            "Data columns (total 10 columns):\n",
            " #   Column             Non-Null Count  Dtype  \n",
            "---  ------             --------------  -----  \n",
            " 0   time               17414 non-null  object \n",
            " 1   count              17414 non-null  int64  \n",
            " 2   temp_real_C        17414 non-null  float64\n",
            " 3   temp_feels_like_C  17414 non-null  float64\n",
            " 4   humidity_percent   17414 non-null  float64\n",
            " 5   wind_speed_kph     17414 non-null  float64\n",
            " 6   weather            17414 non-null  object \n",
            " 7   is_holiday         17414 non-null  float64\n",
            " 8   is_weekend         17414 non-null  float64\n",
            " 9   season             17414 non-null  object \n",
            "dtypes: float64(6), int64(1), object(3)\n",
            "memory usage: 1.3+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Calculate the mean, median, and mode of numerical variables\n",
        "bikes.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "aUCYFa_Jk4nI",
        "outputId": "f3ae57a2-4ce7-4abd-cf3a-128172411d18"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              count   temp_real_C  temp_feels_like_C  humidity_percent  \\\n",
              "count  17414.000000  17414.000000       17414.000000      17414.000000   \n",
              "mean    1143.101642     12.468091          11.520836          0.723250   \n",
              "std     1085.108068      5.571818           6.615145          0.143132   \n",
              "min        0.000000     -1.500000          -6.000000          0.205000   \n",
              "25%      257.000000      8.000000           6.000000          0.630000   \n",
              "50%      844.000000     12.500000          12.500000          0.745000   \n",
              "75%     1671.750000     16.000000          16.000000          0.830000   \n",
              "max     7860.000000     34.000000          34.000000          1.000000   \n",
              "\n",
              "       wind_speed_kph    is_holiday    is_weekend  \n",
              "count    17414.000000  17414.000000  17414.000000  \n",
              "mean        15.913063      0.022051      0.285403  \n",
              "std          7.894570      0.146854      0.451619  \n",
              "min          0.000000      0.000000      0.000000  \n",
              "25%         10.000000      0.000000      0.000000  \n",
              "50%         15.000000      0.000000      0.000000  \n",
              "75%         20.500000      0.000000      1.000000  \n",
              "max         56.500000      1.000000      1.000000  "
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              "      <th>is_weekend</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>17414.000000</td>\n",
              "      <td>17414.000000</td>\n",
              "      <td>17414.000000</td>\n",
              "      <td>17414.000000</td>\n",
              "      <td>17414.000000</td>\n",
              "      <td>17414.000000</td>\n",
              "      <td>17414.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1143.101642</td>\n",
              "      <td>12.468091</td>\n",
              "      <td>11.520836</td>\n",
              "      <td>0.723250</td>\n",
              "      <td>15.913063</td>\n",
              "      <td>0.022051</td>\n",
              "      <td>0.285403</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1085.108068</td>\n",
              "      <td>5.571818</td>\n",
              "      <td>6.615145</td>\n",
              "      <td>0.143132</td>\n",
              "      <td>7.894570</td>\n",
              "      <td>0.146854</td>\n",
              "      <td>0.451619</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>-1.500000</td>\n",
              "      <td>-6.000000</td>\n",
              "      <td>0.205000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>257.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.630000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>844.000000</td>\n",
              "      <td>12.500000</td>\n",
              "      <td>12.500000</td>\n",
              "      <td>0.745000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1671.750000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>0.830000</td>\n",
              "      <td>20.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>7860.000000</td>\n",
              "      <td>34.000000</td>\n",
              "      <td>34.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>56.500000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
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              "    60% {\n",
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              "    }\n",
              "  }\n",
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              "\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-b95919e1-2fe7-4367-b022-534a53dd0583 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",
              "summary": "{\n  \"name\": \"bikes\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6053.483315578092,\n        \"min\": 0.0,\n        \"max\": 17414.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          1143.1016423567244,\n          844.0,\n          17414.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"temp_real_C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6152.391141013383,\n        \"min\": -1.5,\n        \"max\": 17414.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          12.468090808162016,\n          12.5,\n          17414.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"temp_feels_like_C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6152.716319166452,\n        \"min\": -6.0,\n        \"max\": 17414.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          11.52083572604418,\n          12.5,\n          17414.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"humidity_percent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6156.56276103645,\n        \"min\": 0.14313186095310976,\n        \"max\": 17414.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.7232495405995176,\n          0.745,\n          17414.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wind_speed_kph\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6150.447632628947,\n        \"min\": 0.0,\n        \"max\": 17414.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          15.913063244133072,\n          15.0,\n          17414.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_holiday\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6156.719714736464,\n        \"min\": 0.0,\n        \"max\": 17414.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.02205122315378431,\n          1.0,\n          0.1468543671527596\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_weekend\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6156.64051743024,\n        \"min\": 0.0,\n        \"max\": 17414.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.28540254967267714,\n          1.0,\n          0.45161891757102296\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Visualize Numerical Variables\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Set the style of seaborn plots\n",
        "sns.set(style=\"whitegrid\")\n",
        "\n",
        "# Histograms\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.subplot(2, 2, 1)\n",
        "sns.histplot(bikes['count'], kde=True, color='skyblue')\n",
        "plt.title('Distribution of Count')\n",
        "\n",
        "plt.subplot(2, 2, 2)\n",
        "sns.histplot(bikes['temp_real_C'], kde=True, color='salmon')\n",
        "plt.title('Distribution of Real Temperature (C)')\n",
        "\n",
        "plt.subplot(2, 2, 3)\n",
        "sns.histplot(bikes['humidity_percent'], kde=True, color='green')\n",
        "plt.title('Distribution of Humidity (%)')\n",
        "\n",
        "plt.subplot(2, 2, 4)\n",
        "sns.histplot(bikes['wind_speed_kph'], kde=True, color='orange')\n",
        "plt.title('Distribution of Wind Speed (kph)')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Box plots\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.subplot(1, 2, 1)\n",
        "sns.boxplot(y=bikes['count'], color='skyblue')\n",
        "plt.title('Box Plot of Count')\n",
        "\n",
        "plt.subplot(1, 2, 2)\n",
        "sns.boxplot(y=bikes['temp_real_C'], color='salmon')\n",
        "plt.title('Box Plot of Real Temperature (C)')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Scatter plot\n",
        "plt.figure(figsize=(8, 6))\n",
        "sns.scatterplot(x='temp_real_C', y='count', data=bikes, color='green')\n",
        "plt.title('Scatter Plot: Count vs Real Temperature (C)')\n",
        "plt.xlabel('Real Temperature (C)')\n",
        "plt.ylabel('Count')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "2eZl_UYjk4fU",
        "outputId": "19282e30-81a9-4eac-9709-ba1f1e55a1d7"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Summarize Categorical Variables\n",
        "\n",
        "# Calculate frequency counts of categorical variables\n",
        "weather_counts = bikes['weather'].value_counts()\n",
        "season_counts = bikes['season'].value_counts()\n",
        "\n",
        "# Calculate proportions of categorical variables\n",
        "total_count = len(bikes)  # Total number of observations\n",
        "weather_proportions = bikes['weather'].value_counts(normalize=True)\n",
        "season_proportions = bikes['season'].value_counts(normalize=True)"
      ],
      "metadata": {
        "id": "4ySyZNKZsmMl"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Visualize Categorical Variables\n",
        "\n",
        "# using bar plots\n",
        "plt.figure(figsize=(12, 6))\n",
        "\n",
        "# Bar plot for weather\n",
        "plt.subplot(1, 2, 1)\n",
        "sns.barplot(x=weather_counts.index, y=weather_counts.values, palette='viridis')\n",
        "plt.title('Weather Category Counts')\n",
        "plt.xlabel('Weather')\n",
        "plt.ylabel('Count')\n",
        "plt.xticks(rotation=45)\n",
        "\n",
        "# Bar plot for season\n",
        "plt.subplot(1, 2, 2)\n",
        "sns.barplot(x=season_counts.index, y=season_counts.values, palette='magma')\n",
        "plt.title('Season Category Counts')\n",
        "plt.xlabel('Season')\n",
        "plt.ylabel('Count')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Print proportions\n",
        "print(\"Proportions of Weather Categories:\")\n",
        "print(weather_proportions)\n",
        "print(\"\\nProportions of Season Categories:\")\n",
        "print(season_proportions)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "PxWdmDM8srzd",
        "outputId": "0b902d95-6445-4e12-e8db-bcc9a91ec41b"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-21-0ca70074fe47>:8: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x=weather_counts.index, y=weather_counts.values, palette='viridis')\n",
            "<ipython-input-21-0ca70074fe47>:16: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x=season_counts.index, y=season_counts.values, palette='magma')\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Proportions of Weather Categories:\n",
            "Clear                     0.353164\n",
            "Scattered clouds          0.231653\n",
            "Broken clouds             0.203916\n",
            "Rain                      0.122947\n",
            "Cloudy                    0.084070\n",
            "Snowfall                  0.003446\n",
            "Rain with thunderstorm    0.000804\n",
            "Name: weather, dtype: float64\n",
            "\n",
            "Proportions of Season Categories:\n",
            "spring    0.252326\n",
            "summer    0.251924\n",
            "winter    0.248651\n",
            "autumn    0.247100\n",
            "Name: season, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### 2- Bivariate Analysis"
      ],
      "metadata": {
        "id": "QdgyRSzbVTyu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#relationships between numerical variables\n",
        "\n",
        "# Plot scatter plot between 'count' and 'is_weekend'\n",
        "plt.figure(figsize=(8, 6))\n",
        "sb.scatterplot(x='is_weekend', y='count', data=bikes, color='blue')\n",
        "plt.title('Scatter Plot: Count vs. Weekend Status')\n",
        "plt.xlabel('Is Weekend')\n",
        "plt.ylabel('Count')\n",
        "plt.show()\n",
        "\n",
        "\n",
        "\n",
        "# Plot scatter plot between 'count' and 'is_holiday'\n",
        "plt.figure(figsize=(8, 6))\n",
        "sb.scatterplot(x='is_holiday', y='count', data=bikes, color='red')\n",
        "plt.title('Scatter Plot: Count vs. Holiday Status')\n",
        "plt.xlabel('Is Holiday')\n",
        "plt.ylabel('Count')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "XjEr2KJSVcP4",
        "outputId": "f006644f-9b5b-4773-b4c9-b27244651c99"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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kSZPw448/4urVq5g5c6beuDlz5uDpp59GSkoKjh49iiVLlmDz5s3Yu3dvjWpsH9S7d298/fXXuHDhgq5eWcvf3x8rVqzAjRs38MMPP6BFixa6VfqKigooFAps3brV6N+H9rNYl8/twIED8emnn+LAgQMG345UVFQgODjYoLZbq2PHjnqPTc2VUIca/ppwc3NDWFgYwsLCMGrUKHz33Xf4448/0LZtW5PPqY9/N0x9ho09t74/Q0TmYLJMJGPdu3cHIH5NCwDt27dHRUUFLl68aPJ/+t999x3u3r2L9evX45FHHtG1G9tNwtT/3Ey1a5MUZ2dnySS02pubLl26ZNCXmZkJNzc3XSJk6n3VRmhoKKytrXHgwAH84x//qHKsu7s7HBwcTMZmZWWlW3XU3oimVqv1dkXRrjrWRV3eb2RkJF577TVkZmYiMTERDg4O6Nevn8E47U4I//znP5Geno4RI0Zg165diI2NrfVrVt5vOT09HaNHj9b1de/eHUqlEidOnMCZM2cQGhqq62vfvj0EQUC7du2Mrt5r1eVzO2vWLFhbW+O1116Dk5MTnnzySb3XLSoqqrf/BrSf4cuXLxv0Gfvs1Eb37t3x3Xff4datW2jbtq3Jz0R9/Luh/dw+uAptak/n+vwMEZmDNctEMnD8+HGjq0zaelvtamZ4eDisrKywYcMGg9Ua7fO1tcyVr1dSUmL0a1gHBwejX69q76Z/8PCO7t27o3379ti+fbvRMgRL7OfaokUL+Pj44LPPPtOL98KFCzh69Cj+7//+T9emfV/G3nNNt45r3bo1oqOjceTIEaOnK1ZUVGD79u24fv06rK2tERwcjJSUFL2k4/bt2zh48CB69+6tK29o3749AOjVuxYVFeltB1dbVb1fUwYOHAhra2t88cUXSEpKwuOPP6636lpQUICysjK953h5ecHKygolJSW6tqtXr+pt3VeV7t27w87ODgcOHMCNGzf0VpaVSiW6deuGjz76CEVFRXr7K0dERMDa2hrr1683+O9HEATk5ubqrl+Xz+0bb7yBgQMHYs6cOXr3DkRGRuLUqVN6h31oqdVqg7+f6mg/w59++qneXB09ehQZGRnVPv/WrVtGx5WUlCAtLQ1WVla6z5epz0R9/Lth7DNcXl6OvXv36o2r6WeIqLFwZZlIBpYsWQKNRoMBAwbA09MTpaWlSE9Px5dffom2bdvimWeeASDWNE6aNAnvvPMORo4ciYiICCiVSvz0009o0aIFZsyYAX9/f7i6umLOnDkYNWoUFAoFPv/8c6PJeLdu3ZCYmIhly5bB19cXjo6O6N+/P9q3bw+VSoXdu3fDyckJjo6O6NGjBzw8PLBkyRKMHz8egwcPxjPPPIOWLVvixo0bOHHiBJydnbFp06bG/uvDrFmzMH78eAwbNgxDhw7VbR3n4uKiV77SrVs3AMCaNWsQFRUFW1tb9OvXD46OjjXeOg4Qv0LOzs7GkiVLkJycjH79+kGlUuHatWtISkpCZmYmBg0aBACIiYnBsWPHMHLkSIwcORLW1tbYs2cPSkpK8O9//1t3zeDgYLRp0wbz589HZmYmrK2tsX//fri5udV5ddnHxwfW1tbYunUr8vPzoVQqERgYaHTvbq2mTZsiICAA7777LgoLCxEVFaXXf/z4cbz++ut44okn0LFjR5SXl+Pzzz+HtbU1Bg4cqBs3e/ZsfPfddzh//ny1cSqVSvj6+uLkyZNQKpW6b1S0/P39sX37dgD6h5G0b98eMTExWLVqFf744w+Eh4fDyckJV65cweHDh/Hcc89h7NixsLKyqtPn1srKCm+//TYmT56MmJgYbNmyBUFBQRg7diy++uorTJo0CU8//TS6desGjUaDCxcu4L///S9SUlJ0WxLW1L/+9S9MnDgRI0eOxLPPPou7d+9i586deOihh1BUVFTlc69fv47o6GgEBgYiKCgIzZo1w507d/DFF1/g119/xejRo3XxmPpM1Me/Gw899BD8/PywevVq5OXlwdXVFYmJiQaJcU0/Q0SNhckykQzMmjULSUlJ+Oabb7Bnzx6UlpaiTZs2GDlyJF555RW9r+WnT5+Odu3aYefOnVizZg0cHBzg7e2Np556CoBYr7hp0ya89dZbiIuLg0qlwpAhQ3T/k69s5MiROHfuHD755BPs2LEDbdu2Rf/+/WFra4vly5dj9erVWLx4McrKyrBs2TJ4eHggICAAe/bswTvvvIOdO3eiqKgIzZs3R48ePTBs2LBG/XvTevTRR7Ft2zbEx8cjPj4eNjY2eOSRR/Dvf/9bbxeKHj16YPr06di9eze+/fZbVFRUICUlpdY3/zk4OGDr1q345JNP8Nlnn+Gdd95BcXExWrRogYCAAKxcuRItW7YEADz00EP48MMPsWrVKmzevBmCIKBHjx54++239fZYtrW1xfr16/Haa69h7dq1aN68OUaPHg2VSqXbz7a2mjdvjtdeew2bN2/G/PnzUV5ejvfff7/KZBkQd284duwYnJyc9FbmAfGr85CQEHz99de4ceOG7vO3detW+Pn51SlOQEyCT548iW7dukGpVOr19erVC9u3b4eTk5Nuv2WtCRMmoGPHjtixYwc2bNgAAGjVqhWCg4N1h2UAqPPn1tbWFvHx8Rg/fjz++c9/YseOHejZsyc++OADbN68GUlJSfjss8/g7OyMjh07YurUqXW6SS00NBRr165FXFwcVq1ahfbt22PZsmVISUnBd999V+VzO3XqhHnz5uGbb77BRx99hDt37kCpVMLLywtLlizRHTIEmP5MBAQEmP3vBgCsXLkSixYtwpYtW6BSqTB06FAEBATg5Zdf1j2/oT5DRHWlEBrqDgIiIiIiIpljzTIRERERkQlMlomIiIiITGCyTERERERkApNlIiIiIiITmCwTEREREZnAZJmIiIiIyATus1zPTp06BUEQYGtra+lQiIiIiMiI0tJSKBQKvRNBTeHKcj0TBMHoiUYN/ZolJSWN/rpUPzh/8sc5lD/Oobxx/uSvseewNvkaV5brmXZF2dfXt9Fes6ioCOfOnUOXLl1qfdIYWR7nT/44h/LHOZQ3zp/8NfYc/vTTTzUey5VlIiIiIiITmCwTEREREZnAZJmIiIiIyAQmy0REREREJjBZJiIiIiIygckyEREREZEJkkuWU1JSEB0dDX9/f4SEhGD69OnIzs42GLdv3z4MHDgQvr6+GDJkCL7++muDMfn5+Zg3bx769u0Lf39/TJs2DTdv3jQYl56ejmHDhqFHjx7o168ftmzZwr0aiYiIiEhayfKJEycwZcoUdOnSBRs2bMC8efPw66+/YsyYMSguLtaN++KLL7Bw4UJERkZi69at8PPzw5QpU/Djjz/qXS8mJgZHjx7F4sWLsXLlSly6dAnjx49HWVmZbszly5cxduxYNG/eHJs3b8bo0aMRHx+P7du3N9bbJiIiIiKJktShJF988QXatGmDpUuXQqFQAADc3d0xevRo/Pzzz+jTpw8AID4+HoMGDUJMTAwAIDAwEBcuXMCGDRuwdetWAOKx00eOHEFCQgJCQkIAAJ06dUJUVBSSk5MRFRUFAEhISICbmxtWr14NpVKJoKAg5OTkYNOmTRg1ahSUSmUj/y0QERERkVRIamW5rKwMTk5OukQZAFxcXABAVxaRnZ2NrKwsREZG6j03KioKaWlpKCkpAQCkpqZCpVIhODhYN8bT0xM+Pj5ITU3VtaWmpiIsLEwvKY6KioJarcapU6fq/00SERERkWxIKll+5plncPHiRXz44YfIz89HdnY2Vq9eja5du6JXr14AgMzMTADiKnFlnTt3Rmlpqa6+OTMzE506ddJLvAExYdZeo6ioCNeuXYOnp6fBGIVCoRtHRERERH9PkirD6NOnD9avX48ZM2bg9ddfBwD4+Phg27ZtsLa2BgDk5eUBAFQqld5ztY+1/Wq1WrcqXZmrqyt+/vlnAOINgMaupVQq4eDgoLtWbQmCgKKiojo9ty40Go3e7yQvnD/54xzKH+dQ3jh/8tfYcygIgsGCqimSSpbT09Mxa9YsPPfcc3j88cdx9+5dvPPOO5gwYQI++ugj2NvbWzrEGiktLcW5c+ca/XWzsrIa/TWp/nD+5I9zKH+cQ3nj/MlfY85hTe9Lk1SyvGTJEgQGBmLOnDm6Nj8/Pzz++OP4/PPPMWzYMLi6ugIQV4WbN2+uG6dWqwFA169SqXD9+nWD18jLy9ON0a48a1eYtUpKSqDRaHTjasvW1hZdunSp03PrQqPRICsrCx07doSDg0OjvS7VD86f/HEO5Y9zKG+cP/lr7DnMyMio8VhJJcsXL15EWFiYXlurVq3g5uaG33//HQB09cWZmZl6tcaZmZmwtbWFh4eHblxaWprBMvulS5fg5eUFAHB0dETr1q0NapMvXboEQRAMaplrSqFQwNHRsU7PNYeDg4NFXpfqB+dP/jiH8sc5lDfOn/w11hzWtAQDkNgNfm3atMHZs2f12v744w/k5uaibdu2AAAPDw907NgRSUlJeuMSExMRFBSkW1IPDQ1FXl4e0tLSdGMuXbqEs2fPIjQ0VNcWGhqKlJQUlJaW6l1LpVLB39+/3t9jfcvNBS5ftkdRkS8uX7ZHbq6lIyIiIiL665DUyvLw4cOxdOlSLFmyBP3798fdu3exceNGNG3aVG+ruKlTp2LmzJlo3749AgICkJiYiDNnzmDnzp26MdoTAOfNm4fZs2fDzs4Oa9asgbe3NyIiInTjxo4diwMHDmDGjBkYMWIELly4gISEBMTGxkp+j+XsbGDcOCA52QqAGGtEBLBtG/DnAjsRERERmUFSyfKLL74IpVKJXbt2Yf/+/XBycoKfnx/i4uLg5uamGzd48GBoNBps3boVW7ZsQadOnbB+/XqDleC4uDgsW7YMixYtQllZGUJCQrBgwQLY2Nx/2x06dEBCQgKWL1+OCRMmwN3dHdOmTcOYMWMa7X3XRW6uNlHWb09OFtt37wYq/ZURERERUR0oBO1pH1QvfvrpJwCAr69vg77Or78CPj6m+8+dAx5+uEFDoHpSVFSEc+fOwcfHh7V2MsU5lD/Oobxx/uSvseewNvmapGqWqeaq2wK6jltEExEREVElTJZlqrpd7eq46x0RERERVcJkWaZathRv5jMmIkLsJyIiIiLzMFmWKTc3cdeLBxNm7W4YvLmPiIiIyHyS2g2DasfDQ9z14vr1Cty+XYZmzWzQqpUVE2UiIiKiesJkWebc3AA7u2IUFZ1Dhw68C5iIiIioPrEMg4iIiIjIBCbLREREREQmMFkmIiIiIjKByTIRERERkQlMlomIiIiITGCyTERERERkApNlIiIiIiITmCwTEREREZnAZFnmcnOBy5ftUVTki8uX7ZGba+mIiIiIiP46mCzLWHY2MHw40LWrFUJDleja1QrDh4vtRERERGQ+JssylZsLjBsHJCfrtycni+1cYSYiIiIyH5NlmbpxwzBR1kpOFvuJiIiIyDxMlmUqL8+8fiIiIiKqHpNlmXJ1Na+fiIiIiKrHZFmmWrYEIiKM90VEiP1EREREZB4myzLl5gZs22aYMEdEiO1ubpaJi4iIiOivxMbSAVDdeXgAu3cD169X4PbtMjRrZoNWrayYKBMRERHVEybLMufmBtjZFaOo6Bw6dPCBo6OjpUMiIiIi+stgGQYRERERkQlMlomIiIiITGCyTERERERkApNlIiIiIiITmCwTEREREZnAZJmIiIiIyAQmy0REREREJjBZlrncXODyZXsUFfni8mV75OZaOiIiIiKivw4myzKWnQ0MHw507WqF0FAluna1wvDhYjsRERERmY/Jskzl5gLjxgHJyfrtycliO1eYiYiIiMzHZFmmbtwwTJS1kpPFfiIiIiIyD5NlmcrLM6+fiIiIiKrHZFmmXF3N6yciIiKi6jFZlqmWLYGICON9ERFiPxERERGZh8myTLm5Adu2GSbMERFiu5ubZeIiIiIi+iuxsXQAVHceHsDu3cD16xW4fbsMzZrZoFUrKybKRERERPVEUivLo0aNgre3t9FfX3zxhW7cvn37MHDgQPj6+mLIkCH4+uuvDa6Vn5+PefPmoW/fvvD398e0adNw8+ZNg3Hp6ekYNmwYevTogX79+mHLli0QBKFB32d9cnMDOnQohqPjT+jQoZiJMhEREVE9ktTK8quvvoqCggK9tvfeew/JyckICgoCAHzxxRdYuHAhJk2ahMDAQCQmJmLKlCn48MMP4efnp3teTEwMMjIysHjxYtjZ2SEuLg7jx4/H/v37YWMjvu3Lly9j7NixCA4ORkxMDM6fP4+VK1fC2toaY8eObbT3TURERETSJKlkuUuXLgZtM2bMQHBwMNzd3QEA8fHxGDRoEGJiYgAAgYGBuHDhAjZs2ICtW7cCAE6dOoUjR44gISEBISEhAIBOnTohKioKycnJiIqKAgAkJCTAzc0Nq1evhlKpRFBQEHJycrBp0yaMGjUKSqWyEd41EREREUmVpMowHpSeno4rV67gySefBABkZ2cjKysLkZGReuOioqKQlpaGkpISAEBqaipUKhWCg4N1Yzw9PeHj44PU1FRdW2pqKsLCwvSS4qioKKjVapw6daoh3xoRERERyYCkk+WDBw/C0dERYWFhAIDMzEwA4ipxZZ07d0ZpaSmys7N14zp16gSFQqE3ztPTU3eNoqIiXLt2DZ6engZjFAqFbhwRERER/X1JqgyjsrKyMnz55Zfo378/HB0dAQB5fx5Lp1Kp9MZqH2v71Wo1XFxcDK7p6uqKn3/+GYB4A6CxaymVSjg4OOiuVReCIKCoqKjOz68tjUaj9zvJC+dP/jiH8sc5lDfOn/w19hwKgmCwqGqKZJPlo0ePIicnB4MHD7Z0KLVWWlqKc+fONfrrZmVlNfprUv3h/Mkf51D+OIfyxvmTv8acw5remybZZPngwYNo0qSJ7gY9QFwZBsRV4ebNm+va1Wq1Xr9KpcL169cNrpmXl6cbo1151q4wa5WUlECj0ejG1YWtra3RmxUbQkGBLW7dskJOTjmaNrVGs2YVcHYubZTXpvqh0WiQlZWFjh07wsHBwdLhUB1wDuWPcyhvnD/5a+w5zMjIqPFYSSbLxcXFOHz4MIYMGQJbW1tdu7a+ODMzU6/WODMzE7a2tvDw8NCNS0tLM1hiv3TpEry8vAAAjo6OaN26tUFt8qVLlyAIgkEtc20oFApd6UhDys4Gxo0DkpMBwBoAEBFhjW3bbPHnXwXJiIODQ6N8bqjhcA7lj3Mob5w/+WusOaxpCQYg0Rv8vvrqKxQVFel2wdDy8PBAx44dkZSUpNeemJiIoKAg3XJ6aGgo8vLykJaWphtz6dIlnD17FqGhobq20NBQpKSkoLS0VO9aKpUK/v7+DfHW6k1ubuVE+b7kZLE9N9cycRERERH9lUhyZfnAgQNo06YNevfubdA3depUzJw5E+3bt0dAQAASExNx5swZ7Ny5UzfG398fISEhmDdvHmbPng07OzusWbMG3t7eiIiI0I0bO3YsDhw4gBkzZmDEiBG4cOECEhISEBsbK/k9lm/cMEyUtZKTxX6e5kdERERkHskly3l5efj2228xevRoo0vkgwcPhkajwdatW7FlyxZ06tQJ69evN1gJjouLw7Jly7Bo0SKUlZUhJCQECxYs0J3eBwAdOnRAQkICli9fjgkTJsDd3R3Tpk3DmDFjGvx9mqu6zTrM2MyDiIiIiP4kuWS58vZupkRHRyM6OrrKMS4uLli6dCmWLl1a5bhevXph7969tY7T0qq7/9CM+xOJiIiI6E+SrFmm6rVsCVSqKNETESH2ExEREZF5mCzLlJsbsG2bYcIcESG2s16ZiIiIyHySK8OgmvPwAHbvBq5fr8Dt22Vo1swGrVpZMVEmIiIiqidMlmXOzQ2wsytGUdE5dOjgw/0liYiIiOoRyzCIiIiIiExgskxEREREZAKTZSIiIiIiE5gsExERERGZwGSZiIiIiMgEJstERERERCYwWSYiIiIiMoHJsszl5gKXL9ujqMgXly/bIzfX0hERERER/XUwWZax7Gxg+HCga1crhIYq0bWrFYYPF9uJiIiIyHxMlmUqNxcYNw5ITtZvT04W27nCTERERGQ+JssydeOGYaKslZws9hMRERGReZgsy1Rennn9RERERFQ9Jssy5epqXj8RERERVY/Jsky1bAlERBjvi4gQ+4mIiIjIPEyWZcrNDdi2zTBhjogQ293cLBMXERER0V+JjaUDoLrz8AB27wauX6/A7dtlaNbMBq1aWTFRJiIiIqonTJZlzs0NsLMrRlHROXTo4ANHR0dLh0RERET0l8EyDCIiIiIiE5gsyxyPuyYiIiJqOEyWZYzHXRMRERE1LCbLMsXjromIiIgaHpNlmeJx10REREQNj8myTPG4ayIiIqKGx2RZpnjcNREREVHDY7IsUzzumoiIiKjhMVmWKR53TURERNTweIKfjPG4ayIiIqKGxWRZ5njcNREREVHDYRkGEREREZEJTJaJiIiIiExgskxEREREZAKTZSIiIiIiE5gsExERERGZwGSZiIiIiMgEJstERERERCYwWSYiIiIiMoHJMhERERGRCZJMlj/99FP84x//gK+vLwICAjBu3DgUFxfr+r/66isMGTIEvr6+GDhwIPbv329wjZKSErz11lsIDg6Gn58fXn75ZWRmZhqMu3jxIl5++WX4+fkhODgYK1asQElJSYO+v/qUmwtcvmyPoiJfXL5sj9xcS0dERERE9NchuWR548aNeOONNxAVFYWEhAS8/vrraNeuHcrLywEAJ0+exJQpU+Dn54etW7ciMjIS8+fPR1JSkt51lixZgn379iE2Nhbr1q1DSUkJXnrpJeTn5+vG5OXlYfTo0SgtLcW6desQGxuLvXv3Yvny5Y36nusqOxsYPhzo2tUKoaFKdO1qheHDxXYiIiIiMp+NpQOoLDMzE+vXr8c777yD//u//9O1Dxw4UPfnjRs3okePHnj99dcBAIGBgcjOzkZ8fDyeeOIJAMD169fx8ccf49VXX8XQoUMBAL6+vujXrx92796N8ePHAwB2796NwsJCrF+/Hk2aNAEAlJeX47XXXsPEiRPRsmXLxnjbdZKbC4wbByQn67cnJ4vtu3cDbm6WiY2IiIjor0JSK8uffPIJ2rVrp5coV1ZSUoITJ07okmKtqKgoXLx4EVeuXAEAHDlyBBUVFXrjmjRpguDgYKSmpuraUlNTERQUpEuUASAyMhIVFRU4evRoPb6z+nfjhmGirJWcLPYTERERkXkklSyfPn0aXl5eeOeddxAUFITu3btj+PDhOH36NADg999/R2lpKTw9PfWe17lzZwDQ1SRnZmaiadOmcHV1NRhXuW45MzPT4FoqlQrNmzc3Wt8sJXl55vUTERERUfUkVYZx69Yt/Pzzz7hw4QJeffVVODg4YNOmTRgzZgySk5OR92cGqFKp9J6nfaztV6vVcHFxMbi+SqXSjdGOe/BaAODq6qo3rrYEQUBRUVGdn18TKpU9qvpZR6WqQFFRscl+kg6NRqP3O8kP51D+OIfyxvmTv8aeQ0EQoFAoajRWUsmyNslcu3YtHn74YQBAz5490b9/f+zcuRMhISEWjrBmSktLce7cuQZ9DUfHtoiIaInkZMOJjogQANzEuXN/NGgMVL+ysrIsHQKZiXMof5xDeeP8yV9jzqFSqazROEklyyqVCk2aNNElyoBYa9y1a1dkZGRg0KBBAKC3owUgrhAD0JVdqFQqFBQUGFxfrVbrlWaoVCqDawHiCvWDJRy1YWtriy5dutT5+TW1ZUsFJkyw0kuYIyIEbNlSgebNVQAMV81JejQaDbKystCxY0c4ODhYOhyqA86h/HEO5Y3zJ3+NPYcZGRk1HiupZLlLly74/fffjfbdu3cP7du3h62tLTIzM/HYY4/p+rT1xdr6Y09PT9y+fdsg6X2wRtnT09OgNjk/Px+3bt0yqGWuDYVCAUdHxzo/v6Y6dBB3vbh+vQK3b5ehWTMbtGplBTc3awAN//pUvxwcHBrlc0MNh3Mof5xDeeP8yV9jzWFNSzAAid3g169fP9y9e1evhCE3Nxe//PILunXrBqVSiYCAAPz3v//Ve15iYiI6d+6Mdu3aAQBCQkJgZWWF5ErbReTl5eHIkSMIDQ3VtYWGhuLYsWO6lWkASEpKgpWVFYKDgxvqbdYrNzegQ4diODr+hA4dirldHBEREVE9ktTKcnh4OHx9fTFt2jTExsbCzs4OW7ZsgVKpxMiRIwEAr7zyCl588UUsXrwYkZGROHHiBA4ePIg1a9bortOqVSsMHToUK1asgJWVFVq2bInNmzfDxcUFw4cP140bPnw4PvjgA0yePBkTJ07EjRs3sGLFCgwfPlzSeywTERERUeOQVLJsZWWFLVu2YNmyZVi0aBFKS0vRp08ffPjhh2jevDkAoE+fPli3bh3i4uLw8ccfo02bNliyZAkiIyP1rrVgwQI4OTlh1apVKCwsRK9evfDuu+/q7ZLh6uqK9957D2+88QYmT54MJycnDB06FLGxsY36vomIiIhImiSVLAOAu7s73n777SrHhIWFISwsrMoxSqUSs2fPxuzZs6sc17lzZ+zYsaO2YRIRERHR34CkapaJiIiIiKSEyTIRERERkQlMlomIiIiITGCyTERERERkApNlIiIiIiITmCwTEREREZnAZJmIiIiIyAQmy0REREREJjBZJiIiIiIygckyEREREZEJTJaJiIiIiExgskxEREREZAKTZZnLzQUuX7ZHUZEvLl+2R26upSMiIiIi+utgsixj2dnA8OFA165WCA1VomtXKwwfLrYTERERkfmYLMtUbi4wbhyQnKzfnpwstnOFmYiIiMh8TJZl6sYNw0RZKzlZ7CciIiIi8zBZlqm8PPP6iYiIiKh6TJZlytXVvH4iIiIiqh6TZZlq2RKIiDDeFxEh9hMRERGReZgsy5SbG7Btm2HCHBEhtru5WSYuIiIior8SG0sHQHXn4QHs2AHcuiXg7l0xQW7WTIHWrS0dGREREdFfA5NlGcvO1m4fp9C1aVeWPTwsGBgRERHRXwTLMGSK+ywTERERNTwmyzLFfZaJiIiIGh7LMGQqLw9wcgJiYoDAQKC4GHBwANLSgLg47rNMREREVB+YLMtUkybA3r3AlSv67e3bi+1NmlgiKiIiIqK/FibLMuXkJP7atw84fPh++4ABwPz5Yh8RERERmYfJskwVFQFvvqmfKAPAoUOAQgGsW2eZuIiIiIj+SniDn0wVF4uJsTHJyWI/EREREZmHybJMqdXm9RMRERFR9Zgsy5Szs3n9RERERFQ9Jssy5eAAhIUZ7wsLE/uJiIiIyDxMlmVKqQQWLhR3v6hswACxXam0TFxEREREfyXcDUOmmjQBKiqA6Ghg2jTxhj57e+DaNaBdO+6zTERERFQfmCzLVEEBMGmS4dZxABAeDmzfDri5NX5cRERERH8lLMOQqdxc44kyILbn5jZuPERERER/RVxZlqm7d8VT+mJigMBAsQzDwQFISwPi4sR+IiIiIjIPk2WZcncHdu0C1q4VT/LTCgsT293dLRcbERER0V8Fk2WZcnEB4uOBlBT99pQU8bjrbdssExcRERHRXwlrlmUqL6/qmuW8vMaNh4iIiOivSFLJ8ieffAJvb2+DXytXrtQbt2/fPgwcOBC+vr4YMmQIvv76a4Nr5efnY968eejbty/8/f0xbdo03Lx502Bceno6hg0bhh49eqBfv37YsmULBEFosPdYX7Q1y/PnAwcOAPv2AQcPio+dnFizTERERFQfJFmGsW3bNri4uOget2zZUvfnL774AgsXLsSkSZMQGBiIxMRETJkyBR9++CH8/Px042JiYpCRkYHFixfDzs4OcXFxGD9+PPbv3w8bG/FtX758GWPHjkVwcDBiYmJw/vx5rFy5EtbW1hg7dmyjvd+6YM0yERERUcOTZLLcrVs3uJvI9uLj4zFo0CDExMQAAAIDA3HhwgVs2LABW7duBQCcOnUKR44cQUJCAkJCQgAAnTp1QlRUFJKTkxEVFQUASEhIgJubG1avXg2lUomgoCDk5ORg06ZNGDVqFJQSPgaPNctEREREDU9SZRjVyc7ORlZWFiIjI/Xao6KikJaWhpKSEgBAamoqVCoVgoODdWM8PT3h4+OD1NRUXVtqairCwsL0kuKoqCio1WqcOnWqgd+NedRq4MwZ4D//AU6eBL76CvjhB/HxmTNiPxERERGZR5LJ8uDBg+Hj44OwsDBs3rwZ5eXlAIDMzEwA4ipxZZ07d0ZpaSmys7N14zp16gSFQqE3ztPTU3eNoqIiXLt2DZ6engZjFAqFbpxUFRaKq8jx8UCfPkD//kDv3vdXmwsLLR0hERERkfxJqgyjefPmmDp1Knr27AmFQoGvvvoKcXFxuHHjBhYtWoS8P7d4UKlUes/TPtb2q9VqvZpnLVdXV/z8888AxBsAjV1LqVTCwcFBd626EAQBRUVFdX5+TTRv7oCYGAUCAoDp0/UPJZk7F4iLE1BUpGnQGKh+aDQavd9JfjiH8sc5lDfOn/w19hwKgmCwqGqKpJLlxx57DI899pjucUhICOzs7PDee+9h0qRJFoysdkpLS3Hu3LkGfQ07u16YMMH4DX7TpwMaDRo8BqpfWVlZlg6BzMQ5lD/Oobxx/uSvMeewpvemSSpZNiYyMhLbt2/HuXPn4OrqCkBcFW7evLlujPrPAl1tv0qlwvXr1w2ulZeXpxujXXnWrjBrlZSUQKPR6MbVha2tLbp06VLn59fExYtiomzsBj8AWLMG8PHxadAYqH5oNBpkZWWhY8eOcHBwsHQ4VAecQ/njHMob50/+GnsOMzIyajxW8slyZdr64szMTL1a48zMTNja2sLDw0M3Li0tzWCJ/dKlS/Dy8gIAODo6onXr1ga1yZcuXYIgCAa1zLWhUCjg6OhY5+fXREWFYaKslZICVFQ0fAxUvxwcHDhnMsc5lD/Oobxx/uSvseawpiUYgERv8KssMTER1tbW6Nq1Kzw8PNCxY0ckJSUZjAkKCtItp4eGhiIvLw9paWm6MZcuXcLZs2cRGhqqawsNDUVKSgpKS0v1rqVSqeDv79/A78w8BQXm9RMRERFR9SS1sjx27FgEBATA29sbAJCSkoK9e/fixRdf1JVdTJ06FTNnzkT79u0REBCAxMREnDlzBjt37tRdx9/fHyEhIZg3bx5mz54NOzs7rFmzBt7e3oiIiNB7vQMHDmDGjBkYMWIELly4gISEBMTGxkp6j2VA3GfZnH4iIiIiqp6kkuVOnTph//79uH79OioqKtCxY0fMmzcPo0aN0o0ZPHgwNBoNtm7dii1btqBTp05Yv369wUpwXFwcli1bhkWLFqGsrAwhISFYsGCB7vQ+AOjQoQMSEhKwfPlyTJgwAe7u7pg2bRrGjBnTaO+5ruztgYgIIDnZsC8iQuwnIiIiIvNIKllesGBBjcZFR0cjOjq6yjEuLi5YunQpli5dWuW4Xr16Ye/evTWOUSqUSmDePEAQgEOH7rcPGCC2S3xhnIiIiEgWJJUsU80VFIgHjwwdCkybJu6zbG8PXL0qtrNmmYiIiMh8kr/Bj4zLyQEmTwZ69QI8PIDmzYH27cXHkycDubmWjpCIiIhI/riyLFPNmgEHDgCxscDhw/fbw8PFdiv+GERERERkNqZUMuXoaJgoA+Lj2Fixn4iIiIjMw2RZpvLyDBNlrcOHxX4iIiIiMg+TZZmqLhlmskxERERkPibLMtWkiXn9RERERFQ93uAnUyoVMHgw0LMnEBgobh3n4ACkpQGnT4v9RERERGQeJssyVVQELFsm3sz35pv328PDgTVrxH4iIiIiMg/LMGSqvByIiTG+G0ZMjNhPREREROZhsixTFRVASorxvpQUsZ+IiIiIzMMyDJkqKACcnMRV5AdrluPieNw1ERERUX1gsixTrq7Arl3A2rX6NcthYWK7q6vlYiMiIiL6q2CyLFMODkB8vGEpRkoKoFAAmzZZJi4iIiKivxImyzJVVCSWXMyfb7wMg7thEBEREZmPybJMFRRUXYZRWGi52IiIiIj+Kpgsy5S7O7BwofEyDADYsKHxYyIiIiL6q2GyLFP37gHHj5suw7h3z9IREhEREckfk2WZys+vugwjP99ysRERERH9VTBZlqnmzYFXXzVdhvHOO40fExEREdFfDZNlmWIZBhEREVHDY7IsU2p11WUYarXlYiMiIiL6q2CyLFPNmlVdhsHdMIiIiIjMZ2XpAKhuSkoME2WtlBSxn4iIiIjMw2RZpvLyzOsnIiIikoLcXODyZXsUFfni8mV75OZaOiJ9TJZlSqUyr5+IiIjI0rKzgeHDga5drRAaqkTXrlYYPlxslwomyzJlZSXezGdMWJjYT0RERCRVubnAuHFAcrJ+e3Ky2C6VFWamVDJVUQFMn26YMIeFie0VFZaJi4iIiKgmbtwwTJS1kpPFfimoc7L84osvIi0tzWT/8ePH8eKLL9b18lQNBwdg2zZxj+UDB4B9+8TfAwPFdgcHS0dIREREZJpc7r+qc7L83Xff4fbt2yb7c3Jy8P3339f18lQNW1tg5kygffv7bQqF+HjmTLGfiIiISKpcXc3rbyxm7bOsUChM9l2+fBlOTk7mXJ6qUFAg/vr4Y+DQofvtERFATIzYR0RERCRVLVuKeYuxUoyICLFfCmqVLH/66af49NNPdY83btyIvXv3GozLz8/H+fPnERoaan6EZNKaNfqJMnD/A7dqVePHQ0RERFRTbm5AQgLw5ZdA69ZAcbFYRnr1KhAZKfZLQa2SZY1Gg9xKtyYWFhbCysi2C46Ojhg+fDgmT55sfoRkVEUFcOwYMH++WKes/YClpQFxcbzBj4iIiKRPEMRvySuvLkdEAE88YbmYHlSrZHnkyJEYOXIkAKB///6YP38+wkztX0YNqqAA2LULWLsWePPN++1hYWI7yzCIiIhIynJzgSlTgEceAaZO1V/4mzIF2LFDGqvLda5Z/uqrr+ozDqqlpk2BRYsMj7zWPt6wofFjIiIiIqqpmzfF/ZSNLfxNny72yzpZ1iooKMDVq1ehVqshCIJB/yOPPGLuS5ARJSWGibJWSorYT0RERCRVpaViomxq4S8urtFDMqrOyXJOTg6WLFmC5ORklJeXG/QLggCFQoFz586ZFSAZp1ab109ERERkSRUVVS/8SeX+qzony4sWLcLXX3+NUaNGoU+fPlCpVPUZF1XD2dm8fiIiIiJLUquBrl3FG/xKSsRDSJo0Ec+KGDpUOgt/dU6Wjx49itGjR2PWrFn1GQ/VkJWVWNNj7CeysDCxn4iIiEiqmjUDPv8ceOUV4PDh++3h4WJ7WZnlYquszimVvb092rZtW5+xUC1YWYnF7w9uRqItimeyTERERFLm4GCYKAPi41deEfuloM4ry0OGDMHhw4fx/PPP12c8VENKJbBtm7jHckyMuN2KvT1w/LjYvnKlpSMkIiIiMi0vT9wmztSZEXl5lo5QVOf1x4EDByIvLw9jx45FcnIyzpw5g19++cXgV10VFhYiNDQU3t7e+Omnn/T69u3bh4EDB8LX1xdDhgzB119/bfD8/Px8zJs3D3379oW/vz+mTZuGmzdvGoxLT0/HsGHD0KNHD/Tr1w9btmwxuquH1JSWArGxYnL85JNAdLT4+/HjYntpqaUjJCIiIjJNrRbPhqicywweLD7etesvULOsPZwEAI4dO2bQb+5uGO+8847RXTa++OILLFy4EJMmTUJgYCASExMxZcoUfPjhh/Dz89ONi4mJQUZGBhYvXgw7OzvExcVh/Pjx2L9/P2xsxLd9+fJljB07FsHBwYiJicH58+excuVKWFtbY+zYsXWKu7GUlYkfqJgYw5XlwYPF0/2IiIiIpKp5c2DxYumfGVHnZHnZsmX1GYeeixcv4qOPPsLs2bPx6quv6vXFx8dj0KBBiImJAQAEBgbiwoUL2LBhA7Zu3QoAOHXqFI4cOYKEhASEhIQAADp16oSoqCgkJycjKioKAJCQkAA3NzesXr0aSqUSQUFByMnJwaZNmzBq1CgolcoGe4/mMvbTlkJx/8/5+Y0XCxEREVFtlZSIi3ymyjCkcmZEnZPlp59+uj7j0LNkyRIMHz4cnTp10mvPzs5GVlYW/v3vf+u1R0VFYcWKFSgpKYFSqURqaipUKhWCg4N1Yzw9PeHj44PU1FRdspyamooBAwboJcVRUVHYvHkzTp06hYCAgAZ7j+ZSqao+7trFxXKxEREREVVHW4ZhKpeRShmG5PZMSEpKwoULFzB58mSDvszMTAAwSKI7d+6M0tJSZGdn68Z16tQJispLrRATZu01ioqKcO3aNXh6ehqMUSgUunFS5ewMxMcb/+oiPp77LBMREZG0NWtm+gS/tWvFfimo88ry3Llzqx2jUCiwdOnSGl9To9Fg+fLliI2NhbORbC/vz9siHzwARftY269Wq+FiZGnV1dUVP//8MwDxBkBj11IqlXBwcNBdqy4EQUBRUVGdn18ThYUOOHxYYbTv8GGgsFBAUZGmQWOg+qHRaPR+J/nhHMof51DeOH/yVFLigJQU47lMSgpQUtJwuYz23rqaqHOyfOLECYO2iooK3Lp1C+Xl5XB3d4dDLTfI27hxI5o2bYpnn322rmFJQmlpaYMf863R9KqyX60GjxqXmaysLEuHQGbiHMof51DeOH/yUlhYdS5z927D5jI1vTetzsnyV199ZbS9tLQUe/bswXvvvYft27fX+Hp//PEHtm/fjg0bNuhWfbWrs0VFRSgsLISrqysAcVW4efPmuueq/yxq0farVCpcv37d4DXy8vJ0Y7Qrz/kP3AlXUlICjUajG1cXtra26NKlS52fXxMZGVX3u7gAXbr4NGgMVD80Gg2ysrLQsWPHWv+ASdLAOZQ/zqG8cf7kqbpcxtW14XKZjOpevJI6J8um2Nra4oUXXkBGRgbeeOMNbNmypUbPu3LlCkpLSzFhwgSDvhdffBE9e/bEqlWrAIg1yZVrjTMzM2FrawsPDw8AYt1xWlqawRL7pUuX4OXlBQBwdHRE69atDWqTL126BEEQDGqZa0OhUMDR0bHOz6/Za1R33HXDx0D1y8HBgXMmc5xD+eMcyhvnT16cnYGICCA52bAvIgJwdm64XKamJRhAA97g9/DDD+P777+v8XgfHx+8//77er+0ddGvvfYaXn31VXh4eKBjx45ISkrSe25iYiKCgoJ0y+mhoaHIy8tDWlqabsylS5dw9uxZhIaG6tpCQ0ORkpKC0koneCQmJkKlUsHf379O77uxWFmJ26qEh+u3h4eLRfG1+AwQERERNbqKCmDuXHGRr7KwMLG9osIycT2o3leWtY4dO1arr0JUKpXJrdq6deuGbt26AQCmTp2KmTNnon379ggICEBiYiLOnDmDnTt36sb7+/sjJCQE8+bNw+zZs2FnZ4c1a9bA29sbERERunFjx47FgQMHMGPGDIwYMQIXLlxAQkICYmNjJb3HMgDY2gIzZgABAcD06fqHksyZA/y5CE9EREQkSUVF8jhgrc7J8vr164225+fn4/vvv8fZs2eNllSYa/DgwdBoNNi6dSu2bNmCTp06Yf369QYrwXFxcVi2bBkWLVqEsrIyhISEYMGCBbrT+wCgQ4cOSEhIwPLlyzFhwgS4u7tj2rRpGDNmTL3HXd+Ki4GDB8VfxlTer5CIiIhIau7eBQoLTecsZmxMVq/qPVl2dXWFh4cHXnvtNTz33HN1DgwAAgICcP78eYP26OhoREdHV/lcFxcXLF26tNqt63r16oW9e/eaFaclVHdCH0/wIyIiIilr0qTqfjP2WqhXdU6Wf/311/qMg2rpge2ha91PREREZEkqlVhu0bOn4XHXp09LJ5eR3Al+VDMqlXinqDEREdL5gBEREREZU1QELFsGnDgBPPkkEB0tJs8nTojtDXy+W42ZfYPfd999h//973+4evUqAKBNmzZ4/PHH0bdvX7ODI9Py84FZs8Q/V95yJSJCbGcZBhEREUlZeTkQG2u4De7hw+INf2vWWCQsA3VOlktKSjBjxgwcPnwYgiDojo1Wq9V49913MWDAAKxatQq2trb1Fizdp1YDrVsDQ4cCU6fev4P02jWx/e5dS0dIREREZJogGD8vAhDbBaFx4zGlzsnyhg0bcOjQIYwZMwZjxoxBs2bNAAB37tzB9u3bkZCQgA0bNiAmJqa+YqVKWrYEJk0Sf/p6UHg4sGlT48dEREREVFP5+YCTk7iK/GDNclycdL4lr3OyfODAATz99NOYpa0F+FPTpk3x73//G3fu3MF//vMfJssNpLBQ/DDNn2/8A1ZYaOkIiYiIiExzdQV27RIPU6u8fVxYmNguld0w6nyD361bt9CjRw+T/T169MCtW7fqenmqhlotfpCOH9cvij9+XGxXqy0dIREREZFpzs5AfLxhKUZKitju7GyZuB5U52S5VatW+O6770z2f//992jVqlVdL0/VaN5c/EnM2Ads7Vqxn4iIiEiq1Grj5aSA2C6Vhb86l2H84x//wLp16+Di4oKXXnoJHTp0gEKhQFZWFt577z0kJSVh6tSp9RkrVVJSIq4imyrDKCmxdIREREREplWXDMs+WZ40aRKys7Oxd+9e7Nu3D1ZW4iJ1RUUFBEHA008/jUmTJtVboKSvsLDqOh/WLBMREZGUyeWAtTony9bW1li+fDleeuklpKam4o8//gAAtG3bFqGhoXj44YfrLUgy5O4OLFhgvAwDAN55p/FjIiIiIqophUJc5DO2fVxYmNgvBbVKlu/du4c333wTDz30EEaNGgUAePjhhw0S4/fffx+7d+/G/Pnzuc9yAykurnpvwuLixo2HiIiIqDYUCmD6dPHPlXOasDCxXSrJcq1u8NuzZw8+/fRTPP7441WOe/zxx7F//37s27fPnNioCtUdOpKX1yhhEBEREdWJgwOwc6eYGJ88CXz1FfDDD+LjnTvFfimo1cryl19+iYiICHh4eFQ5rn379njiiSfwxRdfYOTIkWYFSMY1aVJ1v1T2JiQiIiIyxtZWvO/qlVf0d8UIDwc2bhT7paBWK8sXLlxA7969azTW398f58+fr1NQVD17e/HDZEx4uNhPREREJFXl5cDkyYbbxx0+LLaXl1smrgfVKlkuLS2tcQ2yra0tSrh/WYMpKwPWrDFMmMPDxa3jysosEhYRERFRjRQUAMnJxvuSk8V+KahVstyiRQv89ttvNRr722+/oUWLFnUKiqpnYwO89howbdr9Op+TJ8XHixeL/URERERSVd39VVK5/6pWyfKjjz6Kzz//HHfu3Kly3J07d/D555/j0UcfNSs4Mq2kREyWr18Hrl0D7twR/3z9OvD66zyUhIiIiKStuuOsZXnc9fjx43Hv3j2MHj0ap0+fNjrm9OnTeOmll3Dv3j2MGzeuXoIkQ3Z2QG6u8b6cHLGfiIiISKocHICICON9EREy3Q3Dw8MDcXFx+Ne//oXhw4fDw8MDXl5ecHJyQmFhIX777Tf8/vvvsLe3x+rVq9G+ffuGivtvz8YGKC0F9uwx3JtwwQKWYRAREZG02doC8+YBggAcOnS/fcAAsV0qu2HUOqV6/PHH8Z///Adbt27F//73PxyudAtjixYtEB0djfHjx1e7vRyZp6QEWLLE9Al+GzY0fkxERERENVVUBBQWAkOHivdcFReLu3ldvSq2FxVZOkJRndYf27Vrh9deew0AUFBQgMLCQjg5OcFZKsUlfwMaTdUn+Gk0jRsPERERUW2tXm36uOu4uEYPxyizv6x3dnZmkmwBhYXm9RMRERFZUkVF1Qt/FRWNG48ptbrBj6TDxcW8fiIiIiJLys83r7+xMFmWKYVC/IrCmLAwsZ+IiIhIquSy8MdkWcZmzDDcciUiQmwnIiIikjK5LPxxgzGZsrEBOnUS7yCdOvX+HaTXrontgmDpCImIiIhMEwRg+nTxzw9ugzt9unRyGSbLMmVnB0ycCFTauU8nPBzYvLnxYyIiIiKqKXt7MV8JDARiYu4v/B0/LravXm3pCEVMlmWqoMB4ogyI7QUFjRsPERERUW3Y2AAzZ4rnRrz55v12qR2wJpEwqLbu3jWvn4iIiMiSCgrEQ9aGDdNfWb52TWyXysIfk2WZatLEvH4iIiIiSyooEOuSvbwAZ2dArQZcXcVdMIqLpZMsczcMmXJyEmuTjQkPF/uJiIiIpKpZM/EerDfeAPr0Afr3B3r3Fh/b2Yn9UsBkWaZu3QLWrDFMmMPDxeMhb92ySFhERERENbZkieEpfikpYrtUsAxDppycgCefBPbtA1auFGuUmzQBSkuBwYOB//zH0hESERERmVZUVPVx10VFjRuPKUyWZcrODtixA5g7V39XjAEDxHY7O0tFRkRERFS96mqSpVKzzGRZpkpKgKVLDbePO3RIPPFm1SrLxEVERERUEyqV+E15TIy413JxMeDgAKSliSWlKpWlIxQxWZapigogOdl4X3Ky2E9EREQkVTY2wMGDxvdZPniQ+yyTmdTqqn8aU6stHSERERGRaTY24rfkxm7ws7YG1q2zTFwPYrIsUyoVsGsXsHat4U9ju3ZJ56sLIiIiImOKi8XyUWOSk8V+KWCyLFNOTsCWLfrnqWtXlrdsEVeXiYiIiKQqL8+8/sYiqX2Wv/nmG7zwwgsIDAxE9+7dERYWhmXLliE/P19v3FdffYUhQ4bA19cXAwcOxP79+w2uVVJSgrfeegvBwcHw8/PDyy+/jMzMTINxFy9exMsvvww/Pz8EBwdjxYoVKCkpabD3WF+Ki4FJk4ATJ8Qt5KKjxS3jvvtObJfKT2NERERExsjlNGJJJct3795Fjx498NprryEhIQEvv/wyPvvsM0yfPl035uTJk5gyZQr8/PywdetWREZGYv78+UhKStK71pIlS7Bv3z7ExsZi3bp1KCkpwUsvvaSXeOfl5WH06NEoLS3FunXrEBsbi71792L58uWN9p7rShDEEgxju2HEx4v9RERERFKlVIrlo8aEhYn9UiCpMoynnnpK73FAQACUSiUWLlyIGzduoGXLlti4cSN69OiB119/HQAQGBiI7OxsxMfH44knngAAXL9+HR9//DFeffVVDB06FADg6+uLfv36Yffu3Rg/fjwAYPfu3SgsLMT69evR5M8fX8rLy/Haa69h4sSJaNmyZSO989oThKrrfJgsExERkZTdugXExgJWVvo5zYABwPTpwO3bgLe35eLTktTKsjHaJLa0tBQlJSU4ceKELinWioqKwsWLF3HlyhUAwJEjR1BRUaE3rkmTJggODkZqaqquLTU1FUFBQbrXAIDIyEhUVFTg6NGjDfem6kF1u11wNwwiIiKSsiZNxLMhhg4FDhwQTyU+cEB8rFAArq6WjlAkqZVlrfLycpSVlSEjIwMbNmxA//790a5dO2RkZKC0tBSenp564zt37gwAyMzMRLt27ZCZmYmmTZvC9YG/5c6dO+Pjjz/WPc7MzMSzzz6rN0alUqF58+ZG65ulxMXFvH4iIiIiS3J2BtasMSwpBYDwcGDr1saPyRhJJsv9+vXDjRs3AACPPfYYVv15HF3en7dFqh7YF037WNuvVqvhYiRbVKlUujHacQ9eCwBcXV31xtWWIAgoauADze3tHRAerjD5AbO3F1BUpGnQGKh+aDQavd9JfjiH8sc5lDfOnzyp1Q44fFhhtO/wYUCtbrhcRhAEKBTGX/tBkkyWt2zZAo1Gg4yMDGzcuBGTJk3Cu+++a+mwaqy0tBTnzp1r0NdwcOiFNWvEWp/KCXN4uLhtXFkZGjwGql9ZWVmWDoHMxDmUP86hvHH+5EWj6VVlv1rdsLmMsoZ3EEoyWX744YcBAP7+/vD19cVTTz2FQ4cOoUuXLgBgsJWc+s8CXW3ZhUqlQkFBgcF11Wq1XmmGSqUyuBYgrlA/WMJRG7a2trpYG0pmJrB8ObBsGbByJXD3rlj7U1oqts2ZA/j4+DRoDFQ/NBoNsrKy0LFjRzg4OFg6HKoDzqH8cQ7ljfMnTxkZVZ9GrFIBXbo0TC6TkZFR47GSTJYr8/b2hq2tLX7//Xf0798ftra2yMzMxGOPPaYbo60v1tYye3p64vbt2wZJb2Zmpl69s6enp0Ftcn5+Pm7dumVQF10bCoUCjo6OdX5+TVhZiQmxsZXlNWsAK6uGj4Hql4ODA+dM5jiH8sc5lDfOn7zY2AAHDwJLlhieRnzwIGBr23C5TE1LMAAZ7IZx+vRplJaWol27dlAqlQgICMB///tfvTGJiYno3Lkz2rVrBwAICQmBlZUVkpOTdWPy8vJw5MgRhIaG6tpCQ0Nx7Ngx3co0ACQlJcHKygrBwcEN/M7MY2NjmCgD4uPYWLGfiIiISKrs7MQFvsDA+7thHDwoPl6zhvssGzVlyhR0794d3t7esLe3x6+//oqEhAR4e3sjPDwcAPDKK6/gxRdfxOLFixEZGYkTJ07g4MGDWLNmje46rVq1wtChQ7FixQpYWVmhZcuW2Lx5M1xcXDB8+HDduOHDh+ODDz7A5MmTMXHiRNy4cQMrVqzA8OHDJb3HMiB+VWHs5j5AbOcJfkRERCRlGg0wcSLw586/Ou3bA48+KvZLgaSS5R49eiAxMRFbtmyBIAho27YtoqOjMXbsWF0Rdp8+fbBu3TrExcXh448/Rps2bbBkyRJERkbqXWvBggVwcnLCqlWrUFhYiF69euHdd9/V2yXD1dUV7733Ht544w1MnjwZTk5OGDp0KGJjYxv1fdfF3bvm9RMRERFZkkIBODoCe/cCKSn328PCgAULxH4pkFSyPGHCBEyYMKHacWFhYQgzdT7in5RKJWbPno3Zs2dXOa5z587YsWNHbcKUBLmcp05ERERkjI2NWK9cOVEG7j/esKHxYzJG8jXLZJy9vXgznzHiPsuNGw8RERFRbWg0homyVkqKdMowmCzLVEmJuK3KgwlzeDiwdq3YT0RERCRVRnb5rVV/Y5FUGQbVnJOTmBAvWCDut6xWi/sRFhQA1tbiPoVEREREUlXdkRZmHHlRr7iyLFMVFcDMmcChQ8C1a8CdO8D16+LjmTPFfiIiIiKpsrMTb+YzJixM7JcCrizLVFERMGGCWHLx4Ebe06eL/URERERSdeeOmLMAhrthTJ8u9ksBk2UZW7vW9B2klbadJiIiIpIcZ2dgwADxuOuYGPGMCHt74PhxYMQI8dhrKWCyLFOCUPUdpILQuPEQERER1YZSKZ7WV/kbcq2wMOmc4MeaZZnKz6+6Xyp3kBIREREZoy3DeLBumWUYVC9Uqqr7Kx1USERERCQ5jo5ARITpMowjRywdoYjJskwpleIHLDnZsC8iQjpfXRAREREZ4+gIBAcbL8OIiBD7pYBlGDJVVgbMnWv8q4u5c8V+IiIiIqlSKKrOZRQKy8T1IK4sy1R5OTBsGLBtG/DWW/cPJbl6VWw/dMjSERIRERGZptEY5jKursAff0grl2GyLFOFheKH68Ht48LCxPbCQsvFRkRERFSdwkJg+3YgLg44fPh++4ABYrtUchkmyzLl7g4sXGh6n+UNGxo/JiIiIqKaatoUePVV/UQZEFeUFQpg3TrLxPUg1izL1L17Ve+zfO9e48ZDREREVBv37pkutUhOlk4uw5VlmVKrgRYtxJKLNm3063zGjRMfExEREUlVXp55/Y2FybJMubuLK8ixsfpfX4SHi+1W/M6AiIiIJMzZ2bz+xsKUSqbs7Q0TZUB8HBsr9hMRERFJlaOj4bZxWmFh3GeZzFRQYJgoax0+zOOuiYiISNpsbIAFC4zvs7xggdgvBRIJg2rr7l3z+omIiIgsKT8fKCoCnntO/7jrq1fF9vx8S0co4sqyTLm6mtdPREREZEn5+WKi/Pvv+u2//y62SyVZ5sqyTDk7izfzGSvFCA+XTlE8ERERkTGuruLBI2++abpfCriyLFOlpcA774iJcWXh4cDGjWI/ERERkVQ5ORnmMVrh4WK/FHBlWaZsbIAbN8QC+OXLxX2VVSrxxr4bN4CWLS0dIREREZFpRUXAtGmAIOgftBYWJrYXFVkutsqYLMtURYV4RKSxU/zCwsRVZyIiIiKpunsXGDFCvLmv8g1+x4+L7UlJFg7wT0yWZaqoqOrjrqXy0xgRERGRMc7OVdcsS+X+KybLMlVQINbyxMQAgYHiT2MODkBaGhAXx32WiYiISNocHIBBgwA/P8Nc5scfxT9LAZNlmXJzA3btAtau1f+JLCxMbHdzs1xsRERERNWpqADeflusT66cy4SHA/HxYr8UcDcMmbK3Fz9ID5ZipKSI7TzumoiIiKTMxkb8hvzBbXAPHxbbpXKCH5NlmcrPr/q4a6ls5E1ERERkTHExkJxsvC85WeyXAibLMlVdMsyaZSIiIpIytdq8/sYikQVuqi1X16pv8FOpLB0hERERkWkuLub1NxauLMuUoyNw8KC4F+GTTwLR0cDgweLjgwfFfiIiIiKpsrMTNyYwJixM7JcCrizLlI0NsGyZ8Rv8rK2BzZstExcRERFRTdy5A0yfLv75wRP8pk8X+6WAybJMqdVVF8VLpc6HiIiIyBhHRyAiwvQJfkeOWDpCEZNlmaruBj/uhkFERERS5uAg3ndl7AS/sDDpHErCmmWZkktRPBEREZEx5eXAggWGdcthYWJ7ebll4noQV5ZlSqEQP0wP1iwDYrtC0fgxEREREdVUeTlw7x6wcCHw1ltiCalKJW5/W1zMZJnMpFBUXRTPZJmIiIikzMpKrFv+9VegdWsxQS4qAq5eBR5+WOyXAibLMuXkBGzbJtb6PFgUv22buNcyERERkVTZ2Ymrx3v2GC78LVggna3jJJKzi7788ku88sorCA0NhZ+fH5566il8/PHHEARBb9y+ffswcOBA+Pr6YsiQIfj6668NrpWfn4958+ahb9++8Pf3x7Rp03Dz5k2Dcenp6Rg2bBh69OiBfv36YcuWLQavJ0VlZeJXFh063G9TKMTHb70l9hMRERFJVUUFsHKluPB34ACwb594VkRgoNheUWHpCEWSWlnesWMH2rZtizlz5sDNzQ3Hjh3DwoULcf36dUyZMgUA8MUXX2DhwoWYNGkSAgMDkZiYiClTpuDDDz+En5+f7loxMTHIyMjA4sWLYWdnh7i4OIwfPx779++HjY34ti9fvoyxY8ciODgYMTExOH/+PFauXAlra2uMHTvWEn8FNSYIwI0bwN69wOHD99sHDAC8vMSvM4iIiIikqrgYmDgRWLtWf0cMbUlpcbHlYqtMUsnyxo0b4e7urnscFBSEu3fv4t1338U///lPWFlZIT4+HoMGDUJMTAwAIDAwEBcuXMCGDRuwdetWAMCpU6dw5MgRJCQkICQkBADQqVMnREVFITk5GVFRUQCAhIQEuLm5YfXq1VAqlQgKCkJOTg42bdqEUaNGQalUNu5fQC0IAvD220BAwP0PlPa467ffBlatsnSERERERKYpFGKibOyANQBYs6bxYzJGUmUYlRNlLR8fHxQUFKCoqAjZ2dnIyspCZGSk3pioqCikpaWhpKQEAJCamgqVSoXg4GDdGE9PT/j4+CA1NVXXlpqairCwML2kOCoqCmq1GqdOnarvt1ev7t0Tfxozdtz1xIliPxEREZFUCYKYt8yfr1+GMX++2C6VqlhJJcvG/PDDD2jZsiWcnZ2RmZkJQFwlrqxz584oLS1FdnY2ACAzMxOdOnWC4oEtITw9PXXXKCoqwrVr1+Dp6WkwRqFQ6MZJlZWV6Z/G1q6Vzh2kRERERMYUFgK7dhlf+Nu1S+yXAkmVYTzo5MmTSExMxOzZswEAeXl5AACVSqU3TvtY269Wq+Fi5FQOV1dX/PzzzwDEGwCNXUupVMLBwUF3rboQBAFFRUV1fn5NVFQ4ICXF+P5wKSlARYWAoiJNg8ZA9UOj0ej9TvLDOZQ/zqG8cf7kqWlTB7z5pkJvZy9tSenmzcDq1Q2XywiCYLCoaopkk+Xr168jNjYWAQEBePHFFy0dTq2Ulpbi3LlzDfoaGk2vKvvVajR4DFS/srKyLB0CmYlzKH+cQ3nj/MmLvX2vKm/wKy1t2FympvemSTJZVqvVGD9+PJo0aYJ169bB6s+aAldXVwDiqnDz5s31xlfuV6lUuH79usF18/LydGO0K8/aFWatkpISaDQa3bi6sLW1RZcuXer8/JrIyKi6X6UCunTxadAYqH5oNBpkZWWhY8eOcHBwsHQ4VAecQ/njHMob50+eLl6s/gY/H5+GyWUyqkukKpFcslxcXIyJEyciPz8fe/bs0Sun0NYXZ2Zm6tUaZ2ZmwtbWFh4eHrpxaWlpBkvsly5dgpeXFwDA0dERrVu3NqhNvnTpEgRBMKhlrg2FQgFHR8c6P78mXFyA8HD9beO0wsMBF5eGj4Hql4ODA+dM5jiH8sc5lDfOn7xUvsEvMFC/DCMuDhCEhstlalqCAUjsBr+ysjLExMQgMzMT27ZtQ8uWLfX6PTw80LFjRyQlJem1JyYmIigoSLecHhoairy8PKSlpenGXLp0CWfPnkVoaKiuLTQ0FCkpKSgtLdW7lkqlgr+/f0O8xXqj0Yg/cYWH67eHh4sfMJZtERERkZQVFIin9504oX+D33ffie28wc+I1157DV9//TXmzJmDgoIC/Pjjj7q+rl27QqlUYurUqZg5cybat2+PgIAAJCYm4syZM9i5c6durL+/P0JCQjBv3jzMnj0bdnZ2WLNmDby9vREREaEbN3bsWBw4cAAzZszAiBEjcOHCBSQkJCA2NlbSeywDQE4O8Oyz4tHWy5eLNcoqlXieev/+wP79lo6QiIiIyLSmTYHFiw2/JT90SNyDOT7eImEZkFSyfPToUQDA8uXLDfpSUlLQrl07DB48GBqNBlu3bsWWLVvQqVMnrF+/3mAlOC4uDsuWLcOiRYtQVlaGkJAQLFiwQHd6HwB06NABCQkJWL58OSZMmAB3d3dMmzYNY8aMadg3Wg9UKuDmTWDIENP9RERERFJVUgIcO2a6DOPP4zMsTlLJ8ldffVWjcdHR0YiOjq5yjIuLC5YuXYqlS5dWOa5Xr17Yu3dvjWOUCicnICICSE427IuIEPuJiIiIpCo/Xyy3iIvT3w1jwACx/YE9GCxGUjXLVHPW1sCGDeIHqrIBA8R2a2vLxEVERERUE02bivspBwTon+DXty+wZYvYLwWSWlmmmispARYsAKZOBZYt069Znj8feOMNS0dIREREZFpZGTBxovGV5enTxX4p4MqyTBUWAomJ4h2k164Bd+4A16+Lj7/4AmjgAwSJiIiIzCII4j7Lxm7wi48X+6WAK8sypdGI56YbO/Vm1y4my0RERCRtFRViYmxMcrLYLwVMlmWqWTNg0SLTp968807jx0RERERUU38ewFzn/sbCMgyZKikxTJS1UlKks90KERERkTHOzub1NxYmyzKVl1d1v1R+GiMiIiIyxtFRLB81JixM7JcCJssy5eJSdb9UfhojIiIiMkahEHf2ejBhDgsT2xUKy8T1INYsy5STExAebngHKSC281ASIiIikrJbt8QNCZ57DoiJEU/ws7cXt8EtKhL7H3rI0lFyZVm2SkrEm/jCw/Xbw8PFdtYsExERkZQ5O4uJ8u+/67f//rvYLpVvybmyLFM2NuLBI8uWAStXAnfvAm5uYpL8xhvAwoWWjpCIiIjINDs7IDBQfwtcrbAwsV8KmCzLVFkZMGsWEBurX4oRHg6sWSOdU2+IiIiIjMnJEU/qA/R3+AoLE9tzciwT14OYLMuUtbWYLAcEiB+o4mLAwQFISwPmzgVWrbJ0hERERESmOTuLR1vHxOjXLB8/DowYIeY0UsBkWabu3QMmTDB+gt/06WI/ERERkVTZ2QHBwcbLMCIipFOGwRv8ZGztWuMn+K1da5l4iIiIiGqqtFT8NtzY1nFz54r9UsCVZZkSBPFrivnzxeL4ymUYcXFiPxEREZFUlZcDgwcbL8MYPBg4dszSEYqYLMtUYSGwa5fxMoxdu8T9CYmIiIikKj9fzGeMlWFo+6WAybJMNW0qbg9nrAwDEPdaJiIiIpKq6k4jrq6/sTBZlqniYsNEWSslRewnIiIikiqFAhg0CPDzMywp/fFHHndNZrp7t+r+vLxGCYOIiIioTqytgbffBm7eFLeRU6sBV1dxO7nnn5fO/VdMlmWqSZOq+11dGyUMIiIiojpxcBBXk5csMTxgLT5e7JcCJssy5eQk3inas6fhVxenT4v9RERERFJVUQFMm6afKAPi42nTgE2bLBPXg5gsy1RODrB6NfDPf+rfRRoeLt7cl5MDdO5sufiIiIiIqlJYaJgoax0+LPZLAQ8lkSmVCnjlFeM/jb3yithPREREJFVqtXn9jYUryzJVUlL1oSQlJZaOkIiIiMi06hb2pLLwx5VlmSooEA8fOX4cePJJIDparGE+flxsl8pXF0RERETGWFsDERHG+yIixH4p4MqyTPFQEiIiIpIzW1tg7lzx2OvK+UxYmNhua2u52CpjsixT9+5VfSjJvXuNGw8RERFRbdy7J34rHhMj/iouBuztxW/JBw8WS0ulgMmyTOXmVt1f3aElRERERJaUlyeWjVbe1evBfilgzbJM8VASIiIikrPqzoSQypkRTJZlyt5e3FPZmPBwsZ+IiIhIqhwdxfpkY8LCxH4pYLIsU2VlwJo1hglzeLi4dVxZmUXCIiIiIqoRW1tgwQLDhDksTGznDX5kFmtrYOlSYNkyYOVKsUa5SROgtFRsW7jQ0hESERERmXbzJtCiBTBsmP4NfteuAS1biv2enpaOksmybN29C8yZA8TG6p/iFx4urjjzBj8iIiKSMnt7YNAgYN8+cRVZu/DXqhUQFQV8+qmlIxQxWZapJk2AyZMNt487fFj86WzDBktERURERFQzTk7Ajh3insqVF/4GDBDbpXKDH5NlmeI+y0RERCRn2pLSyokyABw6BCgUwMaNlonrQbzBT6aq23tQKnsTEhERERlTUAAkJxvvS04W+6WAybJMVbePMvdZJiIiIimrbmFPrW6cOKrDMgyZsrMTt1YxVooRFib2ExEREUmVi4tYlxwTAwQGirthODiIx1zHxQHOzpaOUMRkWabu3AGmTxf/XDlhDgsT2+/csUxcRERERDXh5AQcPAgsWaJ/5HVYmNjOG/zILM7OQESE+NNY5b0Jjx8HRowAjh2zdIREREREpmlv8HvwW/KUFLGPN/gZcfnyZSxatAhPPfUUunbtisGDBxsdt2/fPgwcOBC+vr4YMmQIvv76a4Mx+fn5mDdvHvr27Qt/f39MmzYNN2/eNBiXnp6OYcOGoUePHujXrx+2bNkCQRDq/b3VN3t7wxNvFArx97AwHndNRERE0qZWi4t78+cDBw6I+y0fPCg+PnpUOjXLkkqWf/vtN3zzzTfo0KEDOnfubHTMF198gYULFyIyMhJbt26Fn58fpkyZgh9//FFvXExMDI4ePYrFixdj5cqVuHTpEsaPH4+ySudAX758GWPHjkXz5s2xefNmjB49GvHx8di+fXtDvs16UV4OvPUW8N13wJNPAtHRwODBwPffi+3l5ZaOkIiIiMi0oiJg1y7xW/HKuczx42J7UZGlIxRJqgyjf//+CA8PBwDMmTMHP//8s8GY+Ph4DBo0CDExMQCAwMBAXLhwARs2bMDWrVsBAKdOncKRI0eQkJCAkJAQAECnTp0QFRWF5ORkREVFAQASEhLg5uaG1atXQ6lUIigoCDk5Odi0aRNGjRoFpVLZCO+6bmxsgClTxL0IK0tOFmuW16+3TFxERERENdGsGbBokfEyDAB4553Gj8kYSa0sW1lVHU52djaysrIQGRmp1x4VFYW0tDSUlJQAAFJTU6FSqRAcHKwb4+npCR8fH6SmpuraUlNTERYWppcUR0VFQa1W49SpU/XxlhpMcXHVexMWFzduPERERES1UVxc9QFrUsllJLWyXJ3MzEwA4ipxZZ07d0ZpaSmys7PRuXNnZGZmolOnTlBoi3j/5OnpqbtGUVERrl27Bk9PT4MxCoUCmZmZCAgIaMB3Yx4eSkJERERydvdu1VvHSSWXkVWynPfn35pKpdJr1z7W9qvVari4uBg839XVVVfakZ+fb/RaSqUSDg4OumvVhSAIKGrgQhuVygGAoop+AUVFmgaNgeqHRqPR+53kh3Mof5xDeeP8yZO7uwM+/liB7Gz99g4dgI8/BtzcGi6XEQTBYFHVFFkly3JRWlqKc+fONehrODv3qvZQkoaOgepXVlaWpUMgM3EO5Y9zKG+cP3lp2rQX7O2BPXsMz4xYsEDcJrchc5ma3psmq2TZ9c8znPPz89G8eXNdu/rPvUW0/SqVCtevXzd4fl5enm6MduVZu8KsVVJSAo1GoxtXF7a2tujSpUudn18Tp09XfShJTg7Qs6dPg8ZA9UOj0SArKwsdO3aEg4ODpcOhOuAcyh/nUN44f/J05QqwcqVYgqE9M0JbhrFyJbB6NeDj0zC5TEZGRo3HyipZ1tYXZ2Zm6tUaZ2ZmwtbWFh4eHrpxaWlpBkvsly5dgpeXFwDA0dERrVu31tUwVx4jCIJBLXNtKBQKODo61vn5NeHkBPzjH8C2beJWcWo1oFIBV68C48YBhw41fAxUvxwcHDhnMsc5lD/Oobxx/uSluBiYOBFYu9bwBL/p04Hi4obLZWpaggFIbDeM6nh4eKBjx45ISkrSa09MTERQUJBuOT00NBR5eXlIS0vTjbl06RLOnj2L0NBQXVtoaChSUlJQWlqqdy2VSgV/f/8GfjfmcXUVv7ZYuxbo0wfo31/8fe1asd2MhXEiIiKiBqdQiHmLsa3j1q69f9iapUlqZVmj0eCbb74BAPzxxx8oKCjQJcZ9+/aFu7s7pk6dipkzZ6J9+/YICAhAYmIizpw5g507d+qu4+/vj5CQEMybNw+zZ8+GnZ0d1qxZA29vb0REROjGjR07FgcOHMCMGTMwYsQIXLhwAQkJCYiNjZX0HssAUFIifj1h7KuLNWvEry+IiIiIpEoQqt46TioHKksqWb5z5w6mawtx/6R9/P777yMgIACDBw+GRqPB1q1bsWXLFnTq1Anr1683WAmOi4vDsmXLsGjRIpSVlSEkJAQLFiyAjc39t9yhQwckJCRg+fLlmDBhAtzd3TFt2jSMGTOm4d+smTQaYPx4019d8IZgIiIikrIHbhurdX9jkVSy3K5dO5w/f77acdHR0YiOjq5yjIuLC5YuXYqlS5dWOa5Xr17Yu3dvreKUgqq+ugDE1WUiIiIiqXJyMq+/sciqZpnuk8tXF0RERETGuLgA4eHG+8LDxX4pYLIsU3/ulmeSVL66ICIiIjLm3j3xpL4BA/TbBwwQ2+/ds0RUhiRVhkE15+xcdb9UvrogIiIiMkYQxHMhhg4Fpk0TNyuwtxe3wc3JAdzdLR2hiMmyTGm/ujh82LBPSl9dEBERERljYwO89prp04g3bGj8mIxhGYZMFReLP4WFhem3h4Xd/+mMiIiISKo0mqrvv5LKzl5cWZap3FxgxAhxj2XtPsv29sDx42L7f/9r6QiJiIiITCsoEMtGY2LEcyMqnxkRFyf2SwGTZZlydQUKC/X3WK5MpWrceIiIiIhqo0kTYNcu42dG7Nol9ksByzBkys7OsARDKyxM7CciIiKSKjs7ID7e+JkR8fHSyWWYLMtUbq74k5ix7VbWrhX7iYiIiKRKozG+UQEgtrNmmczi5gbcuGF6u5WWLS0dIREREZFp+flV1yxL5cwIJssyJQjy2G6FiIiIyBhX16prll1dLRdbZUyWZaqoSB7brRAREREZ4+BgumZZoQA2bbJMXA9izbJMFRZW3S+V7VaIiIiIjMnPr7pmmWUYZBZX16rrfKTy1QURERGRMdUt/FXX31iYLMuUnR1w8CCwZIlhnc/Bg9LZboWIiIjIGBcX8/obC5NlmSopAZYuNV7nY20NrFplmbiIiIiIasLKChg0CPDzM/yW/McfxX4pYLIsUxUVwKFDxvuSk8V+IiIiIqmysgKWLwdiY/W/JQ8PB9askU6yLJEwqLaqK3qXSlE8ERERkTE2NmKi/OBNfocPi+02ElnSZbIsUyqVef1ERERElnTvXtW7Ydy717jxmMJkWaaUSvFmPmPCwsR+IiIiIqlSq83rbyxMlmVKrQY2bhTreioLDxfbpfIBIyIiIjJGLrthMFmWKXd34F//AgICgAMHgH37xN8DAsR2d3dLR0hERERkmly+JZdI6TTVVmGhuJ/ywYPG+yvfVUpEREQkNTk5wPTp4p8rb4UbFia25+RYJq4HMVmWqbt3zesnIiIisiQXFyAiQjyNOCZG3GfZ3h44fhwYMULcb1kKmCzLFI+7JiIiIjlzdASCg41/Gx4RIfZLAWuWZcrFRSzBOH4cePJJIDoaGDxYfHzwoHSK4omIiIiMuXcPWL3a+GYFa9Zw6zgyk5WV6eOuly2Tzqk3RERERMaUlwOvvgpMmwacPAl89ZX4+7RpwKJFYr8UsAxDpvLyqj7uOi+vceMhIiIiqq2XXxbLRysfTjJgwP0b/6SA648yVV0yzGSZiIiIpMzKCli71vAUv0OHgPh46XxLLpEwqLaaNDGvn4iIiMiSKiqq/pa8oqJx4zGFZRgy5eQk3tDXs6fhbhinT4v9RERERFIll2/JmSzLVF6eeKfoK6/ob7miPe5aKh8wIiIiImOcnc3rbywsw5ApNzcxUX6wzufwYbHdzc0ycRERERHVhKNj1cddS2WfZa4sy1R+vmGirHX4sNhPREREJFX29sD69cC33wKtW98vKb16FXjsMbFfCpgsy5RabV4/ERERkSXduwfcvQt4eYklF2q1eAKxs7PYbm1t6QhFTJZlysWl6uOueYIfERERSZlCIZaNXr9u2OfmJvZLAZNlmVIqxWOtlyzRv8EvLExsVyotFxsRERFRdaytxe3h3NwAQRD3VbaxuZ8oc2WZzGJnZ/q4a2trcUcMIiIiIqlSKMQE+cSJ+zXLBQVizXK/flxZJjMVFFS9kXdBQePGQ0RERFRbV64Ae/boL/6FhQEPPQR07GixsPQwWZapu3er7uc+y0RERCRl9+6J5aTGviUHgA0bGj8mY7jPMoCLFy/i5Zdfhp+fH4KDg7FixQqUlJRYOqwqVXectatro4RBREREVCdFRYaJslZKitgvBX/7ZDkvLw+jR49GaWkp1q1bh9jYWOzduxfLly+3dGhVsreveiNvqexNSERERGRMYaF5/Y3lb1+GsXv3bhQWFmL9+vVo8udybXl5OV577TVMnDgRLVu2tGyAJty5A0yfLv75wTqf6dPFfiIiIiKpqu5bcKl8S/63X1lOTU1FUFCQLlEGgMjISFRUVODo0aOWC6wazs7AiBHiHssHDgD79om/BwaK7VI5T52IiIjIGGdnICLCeF9EhHRymb/9ynJmZiaeffZZvTaVSoXmzZsjMzPTQlFVT6kUE+PKeyxrhYVxn2UiIiKStuJiYO1a8Rvx5OT77RERQHy82C8Ff/tkWa1WQ6VSGbS7uroir45bSgiCgKIGrkq/c8cB06eLGxAaL8MQUFSkadAYqH5oNBq930l+OIfyxzmUN86fPJWXO+DGDQXmzRPPjlCrAZVK3P72yhWgZcuGy2UEQYCihhs5/+2T5YZQWlqKc+fONehrODr2QkSEeNx1TIz405e9PXD8uFiGceQIGjwGql9ZWVmWDoHMxDmUP86hvHH+5KVp016YOxfo2VP8try4WLyp7/hx4PRpYN26hs1llDX8Gv5vnyyrVCrk5+cbtOfl5cG1jpXltra26NKli7mhVenKlarLMBwdgXbtfBo0BqofGo0GWVlZ6NixIxwcHCwdDtUB51D+OIfyxvmTp7w8AWvWKPDKK/r5THi4eBKxnZ0AH5+GyWUyMjJqPPZvnyx7enoa1Cbn5+fj1q1b8PT0rNM1FQoFHB0d6yM8k5ydgQULxD8/WIaxYAHg7NzwMVD9cnBw4JzJHOdQ/jiH8sb5k5d794DSUmDLFrEEIy9P3AFDpQKsrQF7e6sGm8+almAATJYRGhqKTZs26dUuJyUlwcrKCsHBwRaOzrQ2bYCSEmDYMP0yjGvXxOMh27SxdIREREREprm5ARqN4anE+flAs2ZivxT87beOGz58OJycnDB58mQcOXIE+/fvx4oVKzB8+HDJ7rGs1bGjeMdo+/YCWrQQ0L69gIgI6ZylTkRERFSVNm0ADw9AqayAQlECpbICHh7SWvT72yfLrq6ueO+992BtbY3Jkydj1apVGDp0KObMmWPp0GqkQwegSxcNnJzS0aWLBh06WDoiIiIioppzcwM6dCiGo+NP6NChWDIrylp/+zIMAOjcuTN27Nhh6TCIiIiISGL+9ivLRERERESmMFkmIiIiIjKByTIRERERkQlMlomIiIiITGCyTERERERkApNlIiIiIiITmCwTEREREZnAZJmIiIiIyAQmy0REREREJjBZJiIiIiIygckyEREREZEJTJaJiIiIiExgskxEREREZIJCEATB0kH8laSnp0MQBCiVykZ7TUEQUFpaCltbWygUikZ7XaofnD/54xzKH+dQ3jh/8tfYc1hSUgKFQoFevXpVO9amwaP5m7HEf6QKhaJRk3OqX5w/+eMcyh/nUN44f/LX2HOoUChqnLNxZZmIiIiIyATWLBMRERERmcBkmYiIiIjIBCbLREREREQmMFkmIiIiIjKByTIRERERkQlMlomIiIiITGCyTERERERkApNlIiIiIiITmCwTEREREZnAZJmIiIiIyAQmy0REREREJjBZJiIiIiIygcmyhF28eBEvv/wy/Pz8EBwcjBUrVqCkpKTa5wmCgC1btuDxxx9Hjx49MGzYMPz4448NHzAZqMsc3rx5EytWrMBTTz0Ff39/hIaGYsaMGfjjjz8aKWqqrK7/HVa2Y8cOeHt7Y+LEiQ0UJVXFnDm8ceMGZs+ejcDAQPTo0QORkZH4z3/+08ARU2V1nb/c3FwsWrQIjz/+OPz8/DB48GDs2rWrESKmB12+fBmLFi3CU089ha5du2Lw4ME1ep5U8hmbRn9FqpG8vDyMHj0aHTt2xLp163Djxg0sX74cxcXFWLRoUZXP3bp1K+Lj4zFz5kx4e3vjww8/xJgxY/D555/Dw8Ojkd4B1XUOf/nlFxw6dAjPPvssevbsidzcXGzcuBHR0dE4ePAg3N3dG/Fd/L2Z89+h1q1bt7BhwwY0bdq0gaMlY8yZw5s3b2LYsGHo1KkT3njjDTg7O+O3336r9Q9LVHfmzN/06dORmZmJf/3rX2jdujVSU1OxePFiWFtb47nnnmukd0AA8Ntvv+Gbb75Bz549UVFRAUEQavQ8yeQzAknSpk2bBD8/PyE3N1fXtnv3bsHHx0e4fv26yecVFxcLvXr1ElatWqVru3fvntCvXz/h1VdfbcCI6UF1ncO8vDyhtLRUr+3atWuCt7e3kJCQ0FDhkhF1ncPK/v3vfwuzZs0SXnjhBWHChAkNFCmZYs4czpw5Uxg2bJhQVlbWwFGSKXWdv5s3bwpeXl7C/v379dqff/554cUXX2yocMmE8vJy3Z9nz54tDBo0qNrnSCmfYRmGRKWmpiIoKAhNmjTRtUVGRqKiogJHjx41+bz09HQUFBQgMjJS16ZUKjFgwACkpqY2ZMj0gLrOoUqlgo2N/pc+rVq1gru7O27evNlQ4ZIRdZ1DrZMnT+Lw4cOYMWNGA0ZJVanrHBYUFODLL7/EyJEjYW1t3QiRkjF1nb+ysjIAgIuLi167s7NzjVc1qf5YWdU+3ZRSPsNkWaIyMzPh6emp16ZSqdC8eXNkZmZW+TwABs/t3Lkzrl69iuLi4voPloyq6xwac+nSJdy5cwedO3euzxCpGubMYXl5Od544w1MmjQJLVq0aMgwqQp1ncNffvkFpaWlsLGxwQsvvIBu3bohODgYb7/9NkpLSxs6bPpTXeevdevWCAkJwaZNm5CRkYGCggIkJibi6NGjeP755xs6bKoHUspnWLMsUWq1GiqVyqDd1dUVeXl5VT5PqVTCzs5Or12lUkEQBOTl5cHe3r7e4yVDdZ3DBwmCgCVLlqBFixYYNGhQfYZI1TBnDj/66CNoNBq89NJLDRQd1URd5/D27dsAgAULFuC5557DlClTcObMGcTHx8PKyorfFjQSc/4bXLduHWJjY3X/blpbW2PBggUYOHBgg8RK9UtK+QyTZSKJW7duHY4fP45t27bB0dHR0uFQDdy5cwfx8fF46623oFQqLR0O1UFFRQUA4NFHH8WcOXMAAIGBgSgsLMT27dsxefJkLjxImCAImDt3LrKysrBq1So0b94cx44dw9KlS+Hq6sqFB6oVJssSpVKpkJ+fb9Cel5cHV1fXKp9XUlKCe/fu6f00plaroVAoqnwu1a+6zmFle/fuxYYNG/Dmm28iKCiovkOkatR1DteuXQtvb2/06dMHarUagFhDWVZWBrVaDUdHR4O6dGoY5vxbCogJcmVBQUHYtGkTLl++DG9v7/oNlgzUdf7+97//ISkpCf/5z3908xQQEIA7d+5g+fLlTJZlQEr5DGuWJcrT09OgHis/Px+3bt0yqN958HmAWONaWWZmJtq0acOVkEZU1znUOnToEBYvXoxp06Zh6NChDRUmVaGuc3jp0iV8//33eOSRR3S/0tPTceTIETzyyCM4duxYQ4dOf6rrHHbp0qXK6967d69e4qOq1XX+MjIyYG1tDS8vL712Hx8f3Lx5ExqNpkHipfojpXyGybJEhYaG4tixY7pVKQBISkqClZUVgoODTT6vV69ecHZ2xpdffqlrKy0tRXJyMkJDQxs0ZtJX1zkEgBMnTuBf//oXoqOjMXny5IYOlUyo6xzOmzcP77//vt6vhx9+GH5+fnj//ffRo0ePxgifUPc5bNu2Lby8vAx+sDl27Bjs7e2rTaapfpgzf+Xl5Th//rxe+y+//IKmTZvCwcGhwWKm+iGlfIbfA0rU8OHD8cEHH2Dy5MmYOHEibty4gRUrVmD48OFo2bKlbtzo0aNx9epVHDp0CABgZ2eHiRMnYt26dXB3d4eXlxd27dqFu3fvYuzYsZZ6O39LdZ3DixcvYvLkyejYsSOeeuopvdOK3N3d0b59+8Z+K39bdZ1DHx8fg2upVCo4OjoiICCg0eKnus8hAMTGxuKf//wn3nzzTTz++OP46aefsH37dowdO5b3DzSSus5faGgo2rRpg2nTpmHy5Mlo0aIFjhw5gk8//RRTp0611Nv529JoNPjmm28AAH/88QcKCgqQlJQEAOjbty/c3d0lnc8wWZYoV1dXvPfee3jjjTcwefJkODk5YejQoYiNjdUbV1FRgfLycr228ePHQxAEbN++HTk5OfDx8UFCQgJP72tkdZ3D06dPIz8/H/n5+RgxYoTe2KeffhrLly9vlPjJvP8OSRrMmcP+/ftj9erVeOedd7Br1y60aNECU6dOxYQJExrzLfyt1XX+nJ2dsWPHDqxZswYrV65Efn4+2rVrhzlz5uCFF15o7Lfxt3fnzh1Mnz5dr037+P3330dAQICk8xmFwN25iYiIiIiMYs0yEREREZEJTJaJiIiIiExgskxEREREZAKTZSIiIiIiE5gsExERERGZwGSZiIiIiMgEJstERERERCYwWSYionoxZ84c+Pv7WzoMnVGjRmHUqFGWDoOIZI7JMhFRI/rkk0/g7e2Nn376yazrbN26Fd7e3jh79qxeuyAIeOSRR+Dt7Y3s7Gy9vnv37qF79+6YMWOGWa9NRPR3wmSZiEiGevfuDQD44Ycf9Np/++03qNVq2NjYID09Xa/vp59+QmlpKXr16tVocRIRyR2TZSIiGerevTvs7OwMkuX09HQ0adIEgYGBBn3ax9pEm4iIqsdkmYjIwm7duoW5c+ciNDQU3bt3R0hICF555RVcuXLF5HOUSiV8fX0NVo/T09Ph7++PXr164dSpUwZ9KpUKXl5eAICKigrs2LEDgwYNgq+vLx599FEsWrQIeXl5Bq/3zTffYOTIkfDz84O/vz8mTJiA3377rdr3du7cOQQGBmLUqFEoLCwEANy4cQNz587Fo48+iu7du2PQoEH4+OOP9Z534sQJeHt7IzExERs3bkRoaCh8fX0xevRoXL582eB19uzZg/DwcPTo0QNDhw7FyZMnq42NiKgmbCwdABHR393UqVORkZGBF154AW3btkVOTg6OHj2Ka9euoV27diaf17t3b5w8eRJXrlzRjUtPT0d0dDR69OiBdevWQa1WQ6VSQRAEnDp1Cn5+frCyEtdJFi1ahE8//RTPPPMMRo0ahStXruDDDz/E2bNnsWvXLtja2gIAPvvsM8yZMwchISGYOXMmNBoNdu3ahZEjR+LTTz81GeOZM2cwbtw4dO/eHe+88w7s7e1x+/ZtPPfcc1AoFHj++efh7u6O1NRUzJ8/HwUFBXjppZf0rrF161YoFAqMGTMGBQUF2LZtG2bOnIl9+/bpxuzbtw+LFi2Cv78/Ro8ejezsbLzyyitwdXVF69atzZkaIiImy0RElqRWq3Hq1CnMmjULY8eO1bVPnDix2udWrltu164dbt26hezsbPTq1Qtdu3aFlZUVTp06hf/7v/9DRkYG8vLydM85efIk9u3bh5UrV+LJJ5/UXTMgIADjxo1DUlISnnzySRQWFuLNN99EdHQ03njjDd24p59+Gk888QQ2b96s1671ww8/YMKECejTpw/WrVsHpVIJAFizZg3Ky8tx4MABuLm5AQBGjBiBf/3rX1i/fj2GDx8Oe3t73XXu3buHzz77TPd8lUqFN998ExcuXICXlxdKS0uxZs0a+Pj44P3339eN69KlCxYuXMhkmYjMxjIMIiILsre3h62tLb777juj5Q9V8ff3h5WVla4WOT09Hba2tvD19YWTkxO8vb11ZRra37XJclJSElxcXBAcHIycnBzdr27dusHR0REnTpwAABw7dgxqtRqDBg3SG2dlZYWePXvqxlV2/PhxjBs3DkFBQXqJsiAISE5ORv/+/SEIgt71QkJCkJ+fj19++UXvWs8884zu+QDQp08fANDt9PHzzz/jzp07GD58uN64p59+Gi4uLrX6+yQiMoYry0REFqRUKjFz5ky89dZbCA4ORs+ePfH444/jH//4B5o3b17lc1UqFbp06aKrTU5PT4ePj49uZdbf318vWba1tUWPHj0AAJcvX0Z+fj6CgoKMXvvOnTsAgKysLADA6NGjjY5zdnbWe3zv3j1MnDgR3bp1Q1xcHGxs7v9vJicnB2q1Gnv27MGePXuMXi8nJ0fvcZs2bQzeMyCuyAPA1atXAQAdOnTQG2drawsPDw+jr0FEVBtMlomILOyll15C//79cfjwYRw5cgRr167Fli1b8N5776Fr165VPrd3797YvXs31Gq17uY+LX9/f+zfvx+lpaX44YcfdDtoAOLNfU2bNsXKlSuNXtfd3R2AuBoMACtWrDCavFtbW+s9ViqVCA0NxVdffYVvv/0W/fr10/VVVFQAAIYMGYKnn37a6Ot6e3vrPdbWVz9IGxcRUUNjskxEJAHt27fHmDFjMGbMGGRlZeEf//gHtm/fbjKZ1erduzd27dqFY8eO4dy5c3p1z/7+/iguLsY333yD7OxsRERE6L1eWloaevXqpVcj/CDt6mzTpk3x6KOPVvs+FAoFVq5ciX/+85+YPn06tm7dioCAAABiAu7k5ISKiooaXasmtCvPly9f1lslLy0txZUrV/Dwww/Xy+sQ0d8Xa5aJiCxIo9Hg3r17em3t27eHk5MTSkpKqn2+tgZ5x44dKC0t1VtZbteuHZo3b45t27bpjQWAyMhIlJeX45133jG4ZllZma7M4bHHHoOzszM2b96M0tJSg7EPlk0A4ury+vXr4evri0mTJuHMmTMAxFXogQMH4r///S8uXLhQo2tVp3v37nB3d8fu3bv1/r4+/fRT3XsgIjIHV5aJiCwoKysLL730Ep544gl06dIF1tbWOHz4MG7fvo1BgwZV+/w2bdqgdevWOHXqFNq2bYuWLVvq9ffq1Qv//e9/oVAo9E7u69u3L4YNG4bNmzfj3LlzCA4Ohq2tLbKyspCUlIT58+fjiSeegLOzMxYvXoxZs2bhmWeeQVRUFNzd3XH16lV888036NWrFxYtWmQQl729PTZv3owXX3wR48ePxwcffAAvLy/MmDEDJ06cwHPPPYfo6Gh06dIFeXl5+OWXX5CWlobvvvuuVn9/tra2iImJwaJFizB69GhERUXhypUr+OSTT1izTET1gskyEZEFtWrVCoMGDUJaWhr+85//wNraGp6enoiLi8PAgQNrdI3evXvj4MGDeqvKWtpk2dPTU7dVm9brr7+O7t27Y/fu3VizZg2sra3Rtm1bDBkyRC+xfvLJJ9GiRQts2bIFCQkJKCkpQcuWLdGnTx8888wzJuNydnZGQkICXnjhBYwZMwYffvghOnTogH379mHDhg04dOgQdu3ahSZNmqBLly6YOXNmDf/W9A0bNgzl5eVISEjAihUr4OXlhY0bN2Lt2rV1uh4RUWUKgXdJEBEREREZxZplIiIiIiITmCwTEREREZnAZJmIiIiIyAQmy0REREREJjBZJiIiIiIygckyEREREZEJTJaJiIiIiExgskxEREREZAKTZSIiIiIiE5gsExERERGZwGSZiIiIiMgEJstERERERCYwWSYiIiIiMuH/AURQE4qeE+EGAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Categorical vs. Numerical Variables\n",
        "\n",
        "#Box plot: Count across different weather categories\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.boxplot(x='weather', y='count', data=bikes, palette='viridis')\n",
        "plt.title('Box Plot: Count across Weather Categories')\n",
        "plt.xlabel('Weather')\n",
        "plt.ylabel('Count')\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "# Box plot: Count across different season categories\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.boxplot(x='season', y='count', data=bikes, palette='magma')\n",
        "plt.title('Box Plot: Count across Season Categories')\n",
        "plt.xlabel('Season')\n",
        "plt.ylabel('Count')\n",
        "plt.show()\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "nLFS0pJsYqX1",
        "outputId": "94ad3d3c-5457-4909-93f5-1526efbd716c"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-23-56fa4820d95c>:5: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.boxplot(x='weather', y='count', data=bikes, palette='viridis')\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-23-56fa4820d95c>:18: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.boxplot(x='season', y='count', data=bikes, palette='magma')\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### 3- Temporal analysis"
      ],
      "metadata": {
        "id": "hM00-nhqbguw"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "involves analyzing trends over time."
      ],
      "metadata": {
        "id": "LKs2BfrAbl7C"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#1- convert timestampt to datatime format\n",
        "# 2015-01-04 00:00:00 ==> 'YYYY-MM-DD HH:MM:SS'\n",
        "\n",
        "bikes['time'] = pd.to_datetime(bikes['time'])"
      ],
      "metadata": {
        "id": "19k6SXX9biGx"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bikes['time']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iCNfuGlLbHf4",
        "outputId": "29d451e1-2ff6-43c5-f2b7-4e7d4bd57bc1"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       2015-01-04 00:00:00\n",
              "1       2015-01-04 01:00:00\n",
              "2       2015-01-04 02:00:00\n",
              "3       2015-01-04 03:00:00\n",
              "4       2015-01-04 04:00:00\n",
              "                ...        \n",
              "17409   2017-01-03 19:00:00\n",
              "17410   2017-01-03 20:00:00\n",
              "17411   2017-01-03 21:00:00\n",
              "17412   2017-01-03 22:00:00\n",
              "17413   2017-01-03 23:00:00\n",
              "Name: time, Length: 17414, dtype: datetime64[ns]"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#2- aggregate data based on the level of detail we want to analyze\n",
        "bikes_monthly = bikes.resample('M', on='time').sum()\n",
        "\n",
        "#if you want to know the total count of bike rentals over each time interval (e.g., monthly total bike rentals)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zJ6NPafGda5B",
        "outputId": "439af61f-9c87-4d52-c4e8-4260555aa6af"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-26-6b0551a0aba3>:2: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
            "  bikes_monthly = bikes.resample('M', on='time').sum()\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "bikes_monthly"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "9tc0vwOsdvEa",
        "outputId": "5870ace1-e032-4547-c18c-375e62e6e667"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              count   temp_real_C  temp_feels_like_C  humidity_percent  \\\n",
              "time                                                                     \n",
              "2015-01-31   546639   4101.000000        2255.500000          510.0500   \n",
              "2015-02-28   543594   3721.500000        1868.000000          519.5000   \n",
              "2015-03-31   695934   6093.500000        4558.500000          518.3225   \n",
              "2015-04-30   831582   7873.000000        7112.500000          484.6800   \n",
              "2015-05-31   895413  10091.500000        9803.500000          479.3900   \n",
              "2015-06-30  1033252  12151.500000       12073.000000          443.7150   \n",
              "2015-07-31  1120687  14107.000000       14060.000000          466.3250   \n",
              "2015-08-31  1033951  13830.500000       13816.500000          519.1350   \n",
              "2015-09-30   892478  10371.000000       10357.500000          520.0200   \n",
              "2015-10-31   865046   9474.000000        9321.500000          578.8700   \n",
              "2015-11-30   677332   8259.500000        7605.000000          563.4450   \n",
              "2015-12-31   602838   9000.500000        8660.000000          564.4850   \n",
              "2016-01-31   582518   5459.500000        3872.000000          582.3050   \n",
              "2016-02-29   592910   4695.500000        3033.000000          498.4700   \n",
              "2016-03-31   656527   5344.000000        3684.500000          537.2250   \n",
              "2016-04-30   768845   6804.500000        5708.500000          486.4350   \n",
              "2016-05-31  1001935  10663.000000       10537.500000          508.1550   \n",
              "2016-06-30   933878  11602.500000       11578.500000          536.6850   \n",
              "2016-07-31  1165527  14467.000000       14453.500000          487.1950   \n",
              "2016-08-31  1137314  14699.000000       14686.500000          479.4400   \n",
              "2016-09-30   998619  12813.000000       12800.000000          480.2200   \n",
              "2016-10-31   935706   9363.333333        9239.833333          569.4200   \n",
              "2016-11-30   703859   5827.000000        4499.500000          562.4300   \n",
              "2016-12-31   651908   5967.500000        4925.000000          638.0350   \n",
              "2017-01-31    37680    339.000000         114.000000           60.7150   \n",
              "\n",
              "            wind_speed_kph  is_holiday  is_weekend  \n",
              "time                                                \n",
              "2015-01-31    12502.000000         0.0       192.0  \n",
              "2015-02-28     9873.500000         0.0       192.0  \n",
              "2015-03-31    12938.250000         0.0       215.0  \n",
              "2015-04-30    10988.500000        48.0       191.0  \n",
              "2015-05-31    14268.500000        48.0       240.0  \n",
              "2015-06-30    12398.000000         0.0       192.0  \n",
              "2015-07-31    13067.000000         0.0       192.0  \n",
              "2015-08-31    10326.000000        24.0       240.0  \n",
              "2015-09-30     9394.000000         0.0       185.0  \n",
              "2015-10-31     8671.166667         0.0       215.0  \n",
              "2015-11-30    14191.000000         0.0       216.0  \n",
              "2015-12-31    15452.500000        48.0       188.0  \n",
              "2016-01-31    12996.500000        24.0       240.0  \n",
              "2016-02-29    13058.500000         0.0       190.0  \n",
              "2016-03-31    11778.000000        48.0       177.0  \n",
              "2016-04-30    11067.000000         0.0       216.0  \n",
              "2016-05-31    11001.500000        48.0       216.0  \n",
              "2016-06-30     9745.000000         0.0       192.0  \n",
              "2016-07-31    11847.000000         0.0       239.0  \n",
              "2016-08-31    11860.500000        24.0       192.0  \n",
              "2016-09-30     9580.000000         0.0       180.0  \n",
              "2016-10-31     9328.666667         0.0       239.0  \n",
              "2016-11-30    10499.000000         0.0       191.0  \n",
              "2016-12-31     9216.500000        48.0       216.0  \n",
              "2017-01-31     1061.500000        24.0        24.0  "
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              "      <td>6093.500000</td>\n",
              "      <td>4558.500000</td>\n",
              "      <td>518.3225</td>\n",
              "      <td>12938.250000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>215.0</td>\n",
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              "      <th>2015-04-30</th>\n",
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              "      <td>484.6800</td>\n",
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              "      <td>48.0</td>\n",
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              "      <th>2015-05-31</th>\n",
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              "      <td>443.7150</td>\n",
              "      <td>12398.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>192.0</td>\n",
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              "      <th>2015-07-31</th>\n",
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              "      <td>14107.000000</td>\n",
              "      <td>14060.000000</td>\n",
              "      <td>466.3250</td>\n",
              "      <td>13067.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>192.0</td>\n",
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              "      <th>2015-08-31</th>\n",
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              "      <td>13816.500000</td>\n",
              "      <td>519.1350</td>\n",
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              "      <td>520.0200</td>\n",
              "      <td>9394.000000</td>\n",
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              "      <td>9321.500000</td>\n",
              "      <td>578.8700</td>\n",
              "      <td>8671.166667</td>\n",
              "      <td>0.0</td>\n",
              "      <td>215.0</td>\n",
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              "      <th>2015-11-30</th>\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-6f37e72c-841b-4afd-bc0a-af49d5f9e7c9\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6f37e72c-841b-4afd-bc0a-af49d5f9e7c9')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      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-6f37e72c-841b-4afd-bc0a-af49d5f9e7c9 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_60a88a80-92bc-4b8c-b02d-0f383b2f5c01\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('bikes_monthly')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_60a88a80-92bc-4b8c-b02d-0f383b2f5c01 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('bikes_monthly');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "bikes_monthly",
              "summary": "{\n  \"name\": \"bikes_monthly\",\n  \"rows\": 25,\n  \"fields\": [\n    {\n      \"column\": \"time\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2015-01-31 00:00:00\",\n        \"max\": \"2017-01-31 00:00:00\",\n        \"num_unique_values\": 25,\n        \"samples\": [\n          \"2015-09-30 00:00:00\",\n          \"2016-05-31 00:00:00\",\n          \"2015-01-31 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 251429,\n        \"min\": 37680,\n        \"max\": 1165527,\n        \"num_unique_values\": 25,\n        \"samples\": [\n          892478,\n          1001935,\n          546639\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"temp_real_C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3831.8357645012807,\n        \"min\": 339.0,\n        \"max\": 14699.0,\n        \"num_unique_values\": 25,\n        \"samples\": [\n          10371.0,\n          10663.0,\n          4101.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"temp_feels_like_C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4383.551307032791,\n        \"min\": 114.0,\n        \"max\": 14686.5,\n        \"num_unique_values\": 25,\n        \"samples\": [\n          10357.5,\n          10537.5,\n          2255.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"humidity_percent\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 102.48353119912323,\n        \"min\": 60.715,\n        \"max\": 638.035,\n        \"num_unique_values\": 25,\n        \"samples\": [\n          520.02,\n          508.155,\n          510.05\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"wind_speed_kph\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2748.935910047067,\n        \"min\": 1061.5,\n        \"max\": 15452.5,\n        \"num_unique_values\": 25,\n        \"samples\": [\n          9394.0,\n          11001.5,\n          12502.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_holiday\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 20.645580640902306,\n        \"min\": 0.0,\n        \"max\": 48.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.0,\n          48.0,\n          24.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"is_weekend\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 41.93248541803041,\n        \"min\": 24.0,\n        \"max\": 240.0,\n        \"num_unique_values\": 12,\n        \"samples\": [\n          180.0,\n          239.0,\n          192.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#3- plot\n",
        "\n",
        "# Plot count against time (monthly)\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(bikes_monthly.index, bikes_monthly['count'], color='blue', marker='o')  # Using 'count' column from bikes_monthly\n",
        "plt.title('Monthly Bike Rentals Over Time')\n",
        "plt.xlabel('Month')\n",
        "plt.ylabel('Count')\n",
        "plt.grid(True)\n",
        "plt.show()\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "QUEQpu7Ud9MW",
        "outputId": "2ac2e271-cd5e-41c5-bb6c-7311e410ce47"
      },
      "execution_count": 28,
      "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": [
        "### Statistical Analysis"
      ],
      "metadata": {
        "id": "Hyam5J_MfwzE"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "1- Correlation Analysis\n",
        "\n",
        "\n",
        "Correlation coefficients between numerical variables to understand the strength and direction of their relationships."
      ],
      "metadata": {
        "id": "ObgW9ye5f4Lu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "numerical_variables = ['count', 'temp_real_C', 'temp_feels_like_C', 'humidity_percent', 'wind_speed_kph']\n",
        "\n",
        "correlation_matrix = bikes[numerical_variables].corr()\n",
        "\n",
        "print(correlation_matrix)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Mcoo8cP-f6iM",
        "outputId": "e89a6521-74d2-4ee6-8d8b-25cc3838873b"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                      count  temp_real_C  temp_feels_like_C  humidity_percent  \\\n",
            "count              1.000000     0.388798           0.369035         -0.462901   \n",
            "temp_real_C        0.388798     1.000000           0.988344         -0.447781   \n",
            "temp_feels_like_C  0.369035     0.988344           1.000000         -0.403495   \n",
            "humidity_percent  -0.462901    -0.447781          -0.403495          1.000000   \n",
            "wind_speed_kph     0.116295     0.145471           0.088409         -0.287789   \n",
            "\n",
            "                   wind_speed_kph  \n",
            "count                    0.116295  \n",
            "temp_real_C              0.145471  \n",
            "temp_feels_like_C        0.088409  \n",
            "humidity_percent        -0.287789  \n",
            "wind_speed_kph           1.000000  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(8, 6))\n",
        "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n",
        "plt.title('Correlation Matrix')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 671
        },
        "id": "jKeLn4HRmupp",
        "outputId": "8180458b-5754-4907-d60b-b8319270886f"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}