MIT_Project_Univariate_Bivariate.ipynb

{"cells":[{"cell_type":"markdown","metadata":{"id":"Gc8x8QimJY_H"},"source":["# Project Foundations for Data Science: FoodHub Data Analysis\n","\n","**Marks: 60**"]},{"cell_type":"markdown","metadata":{"id":"NqikjkWwJY_L"},"source":["### Context\n","\n","The number of restaurants in New York is increasing day by day. Lots of students and busy professionals rely on those restaurants due to their hectic lifestyles. Online food delivery service is a great option for them. It provides them with good food from their favorite restaurants. A food aggregator company FoodHub offers access to multiple restaurants through a single smartphone app.\n","\n","The app allows the restaurants to receive a direct online order from a customer. The app assigns a delivery person from the company to pick up the order after it is confirmed by the restaurant. The delivery person then uses the map to reach the restaurant and waits for the food package. Once the food package is handed over to the delivery person, he/she confirms the pick-up in the app and travels to the customer's location to deliver the food. The delivery person confirms the drop-off in the app after delivering the food package to the customer. The customer can rate the order in the app. The food aggregator earns money by collecting a fixed margin of the delivery order from the restaurants.\n","\n","### Objective\n","\n","The food aggregator company has stored the data of the different orders made by the registered customers in their online portal. They want to analyze the data to get a fair idea about the demand of different restaurants which will help them in enhancing their customer experience. Suppose you are hired as a Data Scientist in this company and the Data Science team has shared some of the key questions that need to be answered. Perform the data analysis to find answers to these questions that will help the company to improve the business.\n","\n","### Data Description\n","\n","The data contains the different data related to a food order. The detailed data dictionary is given below.\n","\n","### Data Dictionary\n","\n","* order_id: Unique ID of the order\n","* customer_id: ID of the customer who ordered the food\n","* restaurant_name: Name of the restaurant\n","* cuisine_type: Cuisine ordered by the customer\n","* cost: Cost of the order\n","* day_of_the_week: Indicates whether the order is placed on a weekday or weekend (The weekday is from Monday to Friday and the weekend is Saturday and Sunday)\n","* rating: Rating given by the customer out of 5\n","* food_preparation_time: Time (in minutes) taken by the restaurant to prepare the food. This is calculated by taking the difference between the timestamps of the restaurant's order confirmation and the delivery person's pick-up confirmation.\n","* delivery_time: Time (in minutes) taken by the delivery person to deliver the food package. This is calculated by taking the difference between the timestamps of the delivery person's pick-up confirmation and drop-off information"]},{"cell_type":"markdown","metadata":{"id":"cEtNUxNAJY_M"},"source":["### Let us start by importing the required libraries"]},{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":1296,"status":"ok","timestamp":1701122954593,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"u6PlpJAPJY_N"},"outputs":[],"source":["# import libraries for data manipulation\n","import numpy as np\n","import pandas as pd\n","\n","# import libraries for data visualization\n","import matplotlib.pyplot as plt\n","import seaborn as sns"]},{"cell_type":"code","execution_count":2,"metadata":{"executionInfo":{"elapsed":3,"status":"ok","timestamp":1701122954593,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"hGiPTqD47jzC"},"outputs":[],"source":["import warnings\n","warnings.filterwarnings(\"ignore\")"]},{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":24431,"status":"ok","timestamp":1701122981735,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"vuLzkz52Ctrt","outputId":"80e91fff-d54a-4f6e-b4e8-15bfbbead906"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mounted at /content/drive\n"]}],"source":["# mount GDrive\n","from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"markdown","metadata":{"id":"AdracY0HJY_O"},"source":["### Understanding the structure of the data"]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":739,"status":"ok","timestamp":1701123035376,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"GF01IZDbJY_O","outputId":"16c15577-46eb-478c-9404-c71eefdfd867","scrolled":true},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-b335845c-07d3-4b2f-96e3-b9ebd87b8662\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>order_id</th>\n","      <th>customer_id</th>\n","      <th>restaurant_name</th>\n","      <th>cuisine_type</th>\n","      <th>cost_of_the_order</th>\n","      <th>day_of_the_week</th>\n","      <th>rating</th>\n","      <th>food_preparation_time</th>\n","      <th>delivery_time</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1477147</td>\n","      <td>337525</td>\n","      <td>Hangawi</td>\n","      <td>Korean</td>\n","      <td>30.75</td>\n","      <td>Weekend</td>\n","      <td>Not given</td>\n","      <td>25</td>\n","      <td>20</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1477685</td>\n","      <td>358141</td>\n","      <td>Blue Ribbon Sushi Izakaya</td>\n","      <td>Japanese</td>\n","      <td>12.08</td>\n","      <td>Weekend</td>\n","      <td>Not given</td>\n","      <td>25</td>\n","      <td>23</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1477070</td>\n","      <td>66393</td>\n","      <td>Cafe Habana</td>\n","      <td>Mexican</td>\n","      <td>12.23</td>\n","      <td>Weekday</td>\n","      <td>5</td>\n","      <td>23</td>\n","      <td>28</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1477334</td>\n","      <td>106968</td>\n","      <td>Blue Ribbon Fried Chicken</td>\n","      <td>American</td>\n","      <td>29.20</td>\n","      <td>Weekend</td>\n","      <td>3</td>\n","      <td>25</td>\n","      <td>15</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>1478249</td>\n","      <td>76942</td>\n","      <td>Dirty Bird to Go</td>\n","      <td>American</td>\n","      <td>11.59</td>\n","      <td>Weekday</td>\n","      <td>4</td>\n","      <td>25</td>\n","      <td>24</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b335845c-07d3-4b2f-96e3-b9ebd87b8662')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\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-convert: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","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert: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","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-b335845c-07d3-4b2f-96e3-b9ebd87b8662 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      async function convertToInteractive(key) {\n","        const element = document.querySelector('#df-b335845c-07d3-4b2f-96e3-b9ebd87b8662');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\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-9c2677d6-20fd-4c88-ab00-4fb1b322b884\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9c2677d6-20fd-4c88-ab00-4fb1b322b884')\"\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-9c2677d6-20fd-4c88-ab00-4fb1b322b884 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["   order_id  customer_id            restaurant_name cuisine_type  \\\n","0   1477147       337525                    Hangawi       Korean   \n","1   1477685       358141  Blue Ribbon Sushi Izakaya     Japanese   \n","2   1477070        66393                Cafe Habana      Mexican   \n","3   1477334       106968  Blue Ribbon Fried Chicken     American   \n","4   1478249        76942           Dirty Bird to Go     American   \n","\n","   cost_of_the_order day_of_the_week     rating  food_preparation_time  \\\n","0              30.75         Weekend  Not given                     25   \n","1              12.08         Weekend  Not given                     25   \n","2              12.23         Weekday          5                     23   \n","3              29.20         Weekend          3                     25   \n","4              11.59         Weekday          4                     25   \n","\n","   delivery_time  \n","0             20  \n","1             23  \n","2             28  \n","3             15  \n","4             24  "]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["\n","# read the data\n","df = pd.read_csv('/content/drive/MyDrive/AI and Machine Learning/MiT Course/Week 1/Final Submission/foodhub_order.csv')\n","# returns the first 5 rows\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"J_Y9aJDJJY_P"},"source":["#### Observations:\n","\n","The DataFrame has 9 columns as mentioned in the Data Dictionary. Data in each row corresponds to the order placed by a customer."]},{"cell_type":"markdown","metadata":{"id":"c3kenV4vJY_Q"},"source":["### **Question 1:** How many rows and columns are present in the data? [0.5 mark]\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1701020329634,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"Yvz5i-PhJY_Q","outputId":"2d1524ad-76ec-4aeb-eca7-e25b020b27ad"},"outputs":[{"name":"stdout","output_type":"stream","text":["Number of rows: 1898\n","Number of columns: 9\n"]}],"source":["# Write your code here\n","rows, columns = df.shape\n","\n","print(\"Number of rows:\", rows)\n","print(\"Number of columns:\", columns)"]},{"cell_type":"markdown","metadata":{"id":"jRXakVrUJY_R"},"source":["### **Question 2:** What are the datatypes of the different columns in the dataset? (The info() function can be used) [0.5 mark]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1701020329634,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"Kp70Z0BNJY_R","outputId":"d1f9ed33-482c-4986-c3a4-a81f05d98890"},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1898 entries, 0 to 1897\n","Data columns (total 9 columns):\n"," #   Column                 Non-Null Count  Dtype  \n","---  ------                 --------------  -----  \n"," 0   order_id               1898 non-null   int64  \n"," 1   customer_id            1898 non-null   int64  \n"," 2   restaurant_name        1898 non-null   object \n"," 3   cuisine_type           1898 non-null   object \n"," 4   cost_of_the_order      1898 non-null   float64\n"," 5   day_of_the_week        1898 non-null   object \n"," 6   rating                 1898 non-null   object \n"," 7   food_preparation_time  1898 non-null   int64  \n"," 8   delivery_time          1898 non-null   int64  \n","dtypes: float64(1), int64(4), object(4)\n","memory usage: 133.6+ KB\n","None\n"]}],"source":["# Use info() to print a concise summary of the DataFrame\n","\n","print(df.info())"]},{"cell_type":"markdown","metadata":{"id":"WJes5GP2JY_S"},"source":["#### Observations:\n","\n","\n","*   The Dataframe has a total of 9 columns with types: float, integer and string.\n","\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"pF_92MN6JY_S"},"source":["### **Question 3:** Are there any missing values in the data? If yes, treat them using an appropriate method. [1 mark]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1701020329634,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"Zth-RR1PJY_S","outputId":"87688714-f298-4ac9-f33a-662493a36bf8"},"outputs":[{"name":"stdout","output_type":"stream","text":["Missing values in each column:\n"," order_id                 0\n","customer_id              0\n","restaurant_name          0\n","cuisine_type             0\n","cost_of_the_order        0\n","day_of_the_week          0\n","rating                   0\n","food_preparation_time    0\n","delivery_time            0\n","dtype: int64\n"]}],"source":["# Identify missing values\n","missing_values = df.isna().sum()\n","print(\"Missing values in each column:\\n\", missing_values)"]},{"cell_type":"markdown","metadata":{"id":"jDHT3vD1JY_S"},"source":["\n","#### Observations:\n","\n","\n","*   There are no missing values in the Dataframe.\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"MnJo7MWrJY_S"},"source":["### **Question 4:** Check the statistical summary of the data. What is the minimum, average, and maximum time it takes for food to be prepared once an order is placed? [2 marks]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":514},"executionInfo":{"elapsed":240,"status":"ok","timestamp":1701033390879,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"WprQBgOSJY_T","outputId":"36f36a12-04c3-44d7-e40f-aa9676686814"},"outputs":[{"name":"stdout","output_type":"stream","text":["The statistical summary of the data is:                         count          mean            std         min  \\\n","order_id               1898.0  1.477496e+06     548.049724  1476547.00   \n","customer_id            1898.0  1.711685e+05  113698.139743     1311.00   \n","cost_of_the_order      1898.0  1.649885e+01       7.483812        4.47   \n","rating                 1898.0  2.659642e+00       2.195280        0.00   \n","food_preparation_time  1898.0  2.737197e+01       4.632481       20.00   \n","delivery_time          1898.0  2.416175e+01       4.972637       15.00   \n","order_count            1898.0  1.000000e+00       0.000000        1.00   \n","total_time             1898.0  5.153372e+01       6.833603       35.00   \n","\n","                              25%         50%           75%         max  \n","order_id               1477021.25  1477495.50  1.477970e+06  1478444.00  \n","customer_id              77787.75   128600.00  2.705250e+05   405334.00  \n","cost_of_the_order           12.08       14.14  2.229750e+01       35.41  \n","rating                       0.00        4.00  5.000000e+00        5.00  \n","food_preparation_time       23.00       27.00  3.100000e+01       35.00  \n","delivery_time               20.00       25.00  2.800000e+01       33.00  \n","order_count                  1.00        1.00  1.000000e+00        1.00  \n","total_time                  47.00       52.00  5.600000e+01       68.00  \n"]},{"data":{"text/html":["\n","  <div id=\"df-6f890b28-f711-4aed-be0a-3ac676358d34\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>count</th>\n","      <th>unique</th>\n","      <th>top</th>\n","      <th>freq</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>restaurant_name</th>\n","      <td>1898</td>\n","      <td>178</td>\n","      <td>Shake Shack</td>\n","      <td>219</td>\n","    </tr>\n","    <tr>\n","      <th>cuisine_type</th>\n","      <td>1898</td>\n","      <td>14</td>\n","      <td>American</td>\n","      <td>584</td>\n","    </tr>\n","    <tr>\n","      <th>day_of_the_week</th>\n","      <td>1898</td>\n","      <td>2</td>\n","      <td>Weekend</td>\n","      <td>1351</td>\n","    </tr>\n","    <tr>\n","      <th>weekend</th>\n","      <td>1898</td>\n","      <td>2</td>\n","      <td>True</td>\n","      <td>1351</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6f890b28-f711-4aed-be0a-3ac676358d34')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\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-convert: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","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert: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","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-6f890b28-f711-4aed-be0a-3ac676358d34 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      async function convertToInteractive(key) {\n","        const element = document.querySelector('#df-6f890b28-f711-4aed-be0a-3ac676358d34');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\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-47f36baa-95ba-41af-9b2b-e21dddbf634c\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-47f36baa-95ba-41af-9b2b-e21dddbf634c')\"\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-47f36baa-95ba-41af-9b2b-e21dddbf634c button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["                count unique          top  freq\n","restaurant_name  1898    178  Shake Shack   219\n","cuisine_type     1898     14     American   584\n","day_of_the_week  1898      2      Weekend  1351\n","weekend          1898      2         True  1351"]},"execution_count":238,"metadata":{},"output_type":"execute_result"}],"source":["# Statistical summary of the data\n","full_summary = df.describe().T # for numeric data\n","print(\"The statistical summary of the data is:\", full_summary)\n","\n","# For categorical data\n","\n","df.describe(exclude = 'number').T\n","\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":228,"status":"ok","timestamp":1701025593783,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"sktcQXAcBq6N","outputId":"7093b35b-e661-45c1-96ef-c491585018bb"},"outputs":[{"name":"stdout","output_type":"stream","text":["Minimum food preparation time: 20.0 minutes\n","Average food preparation time: 27.37 minutes\n","Maximum food preparation time: 35.0 minutes\n"]}],"source":["# Minimum, average, and maximum for food preparation\n","\n","summary = df['food_preparation_time'].describe()\n","\n","minimum_time = summary['min']\n","average_time = summary['mean']\n","maximum_time = summary['max']\n","\n","print(\"Minimum food preparation time:\", round(minimum_time, 2), 'minutes')\n","print(\"Average food preparation time:\", round(average_time,2) , 'minutes')\n","print(\"Maximum food preparation time:\", round(maximum_time,2), 'minutes')"]},{"cell_type":"markdown","metadata":{"id":"9YbSOR5wJY_T"},"source":["#### Observations:\n","\n","*   The food preparation time varies between 20.0 min and 35.0 min with an average of 27.4 min."]},{"cell_type":"markdown","metadata":{"id":"cw3l58z_JY_T"},"source":["### **Question 5:** How many orders are not rated? [1 mark]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":332,"status":"ok","timestamp":1701020329964,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"hEzDUL9wgksi","outputId":"c0418600-ee95-41a9-bd43-a5d9c2429260"},"outputs":[{"name":"stdout","output_type":"stream","text":["Count of unique ratings:\n","Not given    736\n","5            588\n","4            386\n","3            188\n","Name: rating, dtype: int64\n"]}],"source":["# Count the unique values of the 'rating' column\n","unique_ratings = df['rating'].value_counts()\n","\n","print(\"Count of unique ratings:\")\n","print(unique_ratings)\n"]},{"cell_type":"markdown","metadata":{"id":"5E0O_oviJY_T"},"source":["#### Observations:\n","\n","\n","*   A total of 736 orders are not rated.\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"7msIfXE-JY_T"},"source":["### Exploratory Data Analysis (EDA)"]},{"cell_type":"markdown","metadata":{"id":"-2xfI28YJY_T"},"source":["### Univariate Analysis"]},{"cell_type":"markdown","metadata":{"id":"0RHZnugBJY_U"},"source":["### **Question 6:** Explore all the variables and provide observations on their distributions. (Generally, histograms, boxplots, countplots, etc. are used for univariate exploration.) [9 marks]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"executionInfo":{"elapsed":1253,"status":"ok","timestamp":1701020331216,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"rU5ZqISjJY_U","outputId":"8ec68d6f-8f9b-42fd-bdd9-7781c6206f5a"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Histogram for numerical variable ('customer_id')\n","plt.figure(figsize=(7, 5))\n","sns.histplot(df['customer_id'], kde=True)\n","plt.title('Distribution of Customer ID')\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"3eEJnt5QPwKH"},"source":["Observation:\n","\n","\n","*   The histogram of Customer ID shows a non-normal distribution in which customers with the order numbers in the range between 250k - 100k order most of the food deliveries."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"executionInfo":{"elapsed":20,"status":"ok","timestamp":1701020331216,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"sHdQCj5DPdi_","outputId":"5adfbe6a-ff94-41fc-c03d-5560819e2ea5"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Increase the figure size\n","plt.figure(figsize=(7, 5))\n","\n","# Show the top N restaurants only to ensure readability\n","top_n = 20\n","top_restaurants = df['restaurant_name'].value_counts().head(top_n).index\n","sns.countplot(\n","    y=df[df['restaurant_name'].isin(top_restaurants)]['restaurant_name'],\n","    order=top_restaurants\n",")\n","\n","plt.title('Top 20 Restaurant Counts')\n","plt.xlabel('Count')\n","plt.ylabel('Restaurant Name')\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":576},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1701020331646,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"Hc3pQR2fPfdp","outputId":"7ece064e-1a18-4e22-bdd0-23c2a3981887"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Countplot for categorical variable ('cuisine_type\t')\n","plt.figure(figsize=(7, 5))\n","top_cuising = df['cuisine_type'].value_counts().head(top_n).index\n","sns.countplot(x=df['cuisine_type'], order = top_cuising)\n","plt.title('Count of Cusine')\n","plt.xticks(rotation=90) # to change the xlabels\n","plt.show()\n","\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"EGJ6svxOwgII"},"source":["Observation:\n","\n","\n","*   The top 3 cuisine types are 'American', 'Japanese' and 'Italian'.\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"executionInfo":{"elapsed":480,"status":"ok","timestamp":1701020332124,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"3Wxhc5BxPg17","outputId":"20266a2e-17f4-48a6-a451-34569c40b1f0"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Histogram for numerical variable ('cost_of_the_order')\n","plt.figure(figsize=(7, 5))\n","sns.histplot(df['cost_of_the_order'], kde=True)\n","plt.title('Distribution of Cost of the Order')\n","plt.show()\n","\n"]},{"cell_type":"markdown","metadata":{"id":"39c1jcvywr-R"},"source":["Observation:\n","\n","\n","*   The cost of the orders varies from USD 5 to USD 35 with a slight right tailed distribution. A higher count of orders between USD 12 and USD 14 can be observed."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"executionInfo":{"elapsed":639,"status":"ok","timestamp":1701033585769,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"4CocyL1LPiOi","outputId":"21c5421a-8627-4252-99f4-c62d2f61af83"},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAnIAAAHWCAYAAADzS2TwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABM9UlEQVR4nO3deVhV5f7//9dmRhRwYjJEU3PK1LRjmLMkmpmWZSbHoRw6BZlDap7SsuGYQzmb2Se1DDtlHa2sHFIcM1QMp8zMnCoBTQHBBIT790c/1rcd4IAorHo+rmtfl/u+77Xu99puNy/XWvvGYYwxAgAAgO24lHYBAAAAKB6CHAAAgE0R5AAAAGyKIAcAAGBTBDkAAACbIsgBAADYFEEOAADApghyAAAANkWQAwAAsCmCHIACLly4oNGjRys0NFQuLi7q0aNHqdazfv16ORwOrV+/vlTryDdgwACVL1++tMuwhcWLF6tevXpyd3eXv7//FW9/5MgRORwOTZ06teSLK8P+rseNK0eQA4pw6NAhPfroo7rxxhvl5eUlX19f3XHHHZoxY4Z+++230i5PkjR37lwtWrSoxPe7YMECTZkyRffff7/efvttDR8+/KLjjTFavHix2rRpI39/f5UrV06NGjXSCy+8oMzMzBKv7++iRo0acjgccjgccnFxkb+/vxo1aqQhQ4YoPj6+tMu7pO+++04DBgxQrVq19Oabb2r+/PlFjv3888/1/PPPX7/i/iA3N1e+vr7q3r17gb5p06bJ4XCof//+BfrGjx8vh8Oh77///nqUCRTKrbQLAMqizz77TA888IA8PT3Vr18/3XzzzcrOztbmzZs1atQo7du376I/lK6XuXPnqkqVKhowYECJ7nfdunWqVq2apk2bdsmxubm56tOnjz744AO1bt1azz//vMqVK6dNmzZpwoQJWrp0qb788ksFBgaWaI1/F02aNNHIkSMlSWfPntX+/fu1dOlSvfnmmxo+fLhee+21Uq6waOvXr1deXp5mzJih2rVrX3Ts559/rjlz5pRKmHN1ddXtt9+ur776qkDfli1b5Obmpi1bthTaFxAQoJtuuul6lAkUiiAH/Mnhw4fVu3dvhYWFad26dQoODrb6oqOj9cMPP+izzz4rxQqvvZSUlMu+DDZ58mR98MEHeuqppzRlyhSrfciQIerVq5d69OihAQMG6IsvvihyH8YYnT9/Xt7e3ldb+mXJzMyUj4/PdZnralWrVk3//Oc/ndomTZqkPn36aNq0aapTp44ee+yxUqru4lJSUiSpWJdUr7dWrVppzZo12r9/v+rXr2+1b9myRb169dKSJUuUlJSkoKAgSb/ffhAfH69OnTqVVsmAJC6tAgVMnjxZGRkZeuutt5xCXL7atWvrySeftJ5fuHBBL774omrVqiVPT0/VqFFD//73v5WVleW0ncPhKPRsQ40aNZzOqC1atEgOh0NbtmzRiBEjVLVqVfn4+Ojee+/VyZMnnbbbt2+fNmzYYF1+a9eu3UWPLTMzUyNHjlRoaKg8PT1Vt25dTZ06VcYYSf/vvpy4uDjt27fP2m9R96b99ttvmjJlim666SZNnDixQH+3bt3Uv39/rVy5Ul9//bVT7XfffbdWrVql5s2by9vbW2+88YYk6aefflKPHj3k4+OjgIAADR8+vMBrmS8+Pl6dO3eWn5+fypUrp7Zt2xY4c/L888/L4XDo22+/VZ8+fVSxYkW1atVKkpSUlKSHH35YN9xwgzw9PRUcHKzu3bvryJEjF30d8/3444+KjIyUj4+PQkJC9MILL1ivpTFGNWrUKPRy3fnz5+Xn56dHH330sub5M29vby1evFiVKlXSyy+/bM0pSVOnTlXLli1VuXJleXt7q1mzZvrwww+dtm/btq0aN25c6L7r1q2ryMjIS9Ywd+5cNWzYUJ6engoJCVF0dLRSU1Ot/ho1aui5556TJFWtWrXI97/0+z2Hc+bMkSTrPedwOAqMmz9/vvXv7LbbbtP27dsLjPnuu+90//33q1KlSvLy8lLz5s31ySefXPJ48t8Tf3z//Pjjj0pKSlJMTIy8vLyc+hITE5WZmWltdyVzp6amatiwYda/w9q1a2vSpEnKy8u7aI3GGA0ZMkQeHh763//+d8ljwt+EAeCkWrVq5sYbb7zs8f379zeSzP3332/mzJlj+vXrZySZHj16OI2TZJ577rkC24eFhZn+/ftbzxcuXGgkmaZNm5oOHTqYWbNmmZEjRxpXV1fTq1cva9yyZcvMDTfcYOrVq2cWL15sFi9ebFavXl1knXl5eaZDhw7G4XCYQYMGmdmzZ5tu3boZSWbYsGHGGGMyMjLM4sWLTb169cwNN9xg7TcpKanQfa5evdpIMs8//3yR88bFxRlJ5plnnnE65tq1a5uKFSuap59+2sybN8/ExcWZc+fOmZtuusl4eXmZ0aNHm+nTp5tmzZqZW265xUgycXFx1j7Wrl1rPDw8THh4uHn11VfNtGnTzC233GI8PDxMfHy8Ne65554zkkyDBg1M9+7dzdy5c82cOXOMMca0bNnS+Pn5mWeffdb83//9n/nPf/5j2rdvbzZs2FDk8Rjz+9+5l5eXqVOnjunbt6+ZPXu2ufvuu40kM27cOGvcM888Y9zd3c2vv/7qtP0HH3xgJJmNGzdedJ6wsDDTtWvXIvsHDhxoJJm9e/dabTfccIN5/PHHzezZs81rr71m/vGPfxhJZsWKFdaYN99800gye/bscdrftm3bjCTzzjvvXLSu/Nc0IiLCzJo1y8TExBhXV1dz2223mezsbGPM7+/Pe++910gyr7/+ulm8eLHZtWtXofv76quvzJ133mkkWe+5xYsXG2OMOXz4sPXvoXbt2mbSpElm8uTJpkqVKuaGG26w5jPGmL179xo/Pz/ToEEDM2nSJDN79mzTpk0b43A4zP/+97+LHlNmZqZxc3Nz+rf4zjvvGB8fH5OTk2NatWplhg8fbvVNnz7dSLLea5c7d2ZmprnllltM5cqVzb///W8zb948069fP+NwOMyTTz5pjcs/7ilTphhjjLlw4YLp16+f8fT0dPq7BAhywB+kpaUZSaZ79+6XNT4xMdFIMoMGDXJqf+qpp4wks27dOqvtSoNcRESEycvLs9qHDx9uXF1dTWpqqtXWsGFD07Zt28uqdfny5UaSeemll5za77//fuNwOMwPP/xgtbVt29Y0bNjwkvvM/2G2bNmyIsecPn3aSDL33Xef1RYWFmYkmZUrVxa6vw8++MBqy8zMNLVr13YKcnl5eaZOnTomMjLS6TU6d+6cqVmzprnzzjuttvzQ8dBDDznNdebMGacflFciP7w/8cQTVlteXp7p2rWr8fDwMCdPnjTGGHPgwAEryPzRPffcY2rUqOFUe2EuFeSmTZtmJJmPP/7Yajt37pzTmOzsbHPzzTebDh06WG2pqanGy8vLjBkzxmns0KFDjY+Pj8nIyChyzpSUFOPh4WE6depkcnNzrfbZs2cbSWbBggVWW/5rn/96XEx0dLQp7NxCfqCpXLmyOX36tNX+8ccfG0nm008/tdo6duxoGjVqZM6fP2+15eXlmZYtW5o6depcsobbbrvN1KpVy3r+6KOPmvbt2xtjjBk9erS57bbbrL7777/flCtXzuTk5FzR3C+++KLx8fEx33//vdPcTz/9tHF1dTXHjh1zOu4pU6aYnJwc8+CDDxpvb2+zatWqSx4H/l64tAr8QXp6uiSpQoUKlzX+888/lySNGDHCqT3/5vSruZduyJAhTpeXWrdurdzcXB09erRY+/v888/l6uqqoUOHFqjVGHPRe9iKcvbsWUkXf73y+/Jf23w1a9YscAnv888/V3BwsO6//36rrVy5choyZIjTuMTERB08eFB9+vTRr7/+qlOnTunUqVPKzMxUx44dtXHjxgKXqf71r385Pff29paHh4fWr1+vM2fOXOYRO4uJibH+7HA4FBMTo+zsbH355ZeSpJtuukktWrRQbGysNe706dP64osvFBUVVejlwyuRvwRK/t+DJKf7DM+cOaO0tDS1bt1aO3futNr9/PzUvXt3vffee9Zl2dzcXL3//vvWZe2ifPnll8rOztawYcPk4vL/foQMHjxYvr6+1+z+0QcffFAVK1a0nrdu3VrS75c/pd9f13Xr1qlXr146e/as9Z749ddfFRkZqYMHD+rnn3++6BytWrXSoUOHlJSUJOn3y6wtW7aUJN1xxx365ptvdO7cOauvRYsWcnNzu6K5ly5dqtatW6tixYrWuFOnTikiIkK5ubnauHGjU03Z2dl64IEHtGLFCn3++efck4cC+LID8Ae+vr6SnH8wXszRo0fl4uJS4Bt5QUFB8vf3L3bokqTq1as7Pc//IVbc0HH06FGFhIQUCF35N3YXp9b8fV3s9Soq7NWsWbPQGmvXrl0g4NStW9fp+cGDByWp0CUh8qWlpTn94P/zfJ6enpo0aZJGjhypwMBA3X777br77rvVr18/64b2i3FxcdGNN97o1Jb/7cU/3mPXr18/xcTE6OjRowoLC9PSpUuVk5Ojvn37XnKOS8nIyJDk/NquWLFCL730khITE53uLfzza9qvXz+9//772rRpk9q0aaMvv/xSycnJl6wr/33y578TDw8P3XjjjVf1nr+YS/17+OGHH2SM0bhx4zRu3LhC95GSkqJq1aoVOUerVq00bdo0bdmyRR07dtS+ffs0efJkSVLLli114cIFbdu2TWFhYTpx4oQGDRp0xXMfPHhQu3fvVtWqVYsc90cTJ05URkaGvvjii0veA4u/J4Ic8Ae+vr4KCQnR3r17r2i7qzmzkpubW2i7q6troe3mDze2l7b8ELh79+4iFw3evXu3JKlBgwZO7VfzDdX8s21TpkxRkyZNCh3z5wV7C5tv2LBh6tatm5YvX65Vq1Zp3LhxmjhxotatW6emTZsWu74/6t27t4YPH67Y2Fj9+9//1rvvvqvmzZsXCELFkf8+zf+PxKZNm3TPPfeoTZs2mjt3roKDg+Xu7q6FCxdqyZIlTttGRkYqMDBQ7777rtq0aaN3331XQUFBioiIuOq6roVL/XvIf0889dRTRX5Z41JLoOR/cWHz5s0qV66cJCk8PFySVKVKFdWpU0ebN2/W8ePHncZfydx5eXm68847NXr06ELH/Xkpk8jISK1cuVKTJ09Wu3bt5OXlddFjwN8PQQ74k7vvvlvz58/X1q1brQ/xooSFhSkvL08HDx50WrIgOTlZqampCgsLs9oqVqzo9K0+6ffLJidOnCh2rVcSIMPCwvTll1/q7NmzTmdwvvvuO6v/SrVq1Ur+/v5asmSJnnnmmUJ/2L7zzjuSfn9dL6fGvXv3yhjjdGwHDhxwGlerVi1Jvwfvqw0etWrV0siRIzVy5EgdPHhQTZo00auvvqp33333otvl5eXpxx9/dPrBm78wbI0aNay2SpUqqWvXroqNjVVUVJS2bNmi6dOnX1XN0u9n45YtW6bQ0FDrvffRRx/Jy8tLq1atkqenpzV24cKFBbZ3dXVVnz59tGjRIk2aNEnLly/X4MGDiwxM+fLfJwcOHHA6I5mdna3Dhw8X++/jai8z59fi7u5e7BoCAgKssObj46MGDRo4LZ3SsmVLbdmyRT/99JNcXV2tz4crmbtWrVrKyMi47Bpvv/12/etf/9Ldd9+tBx54QMuWLZObGz+68f9wjxzwJ6NHj5aPj48GDRqk5OTkAv2HDh3SjBkzJEl33XWXJBX4wZy/SGvXrl2ttlq1ahW4/2X+/PlFnpG7HD4+PgXCYVHuuusu5ebmavbs2U7t+SvXd+nS5YrnL1eunJ566ikdOHBAzzzzTIH+zz77TIsWLVJkZKRuv/32y6rxl19+cVou49y5cwUWX27WrJlq1aqlqVOnWpcX/+iPy7QU5dy5czp//rxTW61atVShQoUilzv5sz++lsYYzZ49W+7u7urYsaPTuL59++rbb7/VqFGj5Orqqt69e1/W/ovy22+/qW/fvjp9+rSeeeYZKwS5urrK4XA4vaeOHDmi5cuXF7qfvn376syZM3r00UeVkZFRYL26wkRERMjDw0MzZ850Ojv81ltvKS0tzek9fyXy78u73PfznwUEBKhdu3Z64403Cv3P0eW8J6Tf/3OSmJio1atXW/fH5WvZsqW2bt2qTZs26ZZbbrH+Q3Qlc/fq1Utbt27VqlWrCoxLTU3VhQsXCrRHRETov//9r1auXKm+fftecpkS/L0Q64E/qVWrlpYsWaIHH3xQ9evXd/rNDl999ZWWLl1qrfvWuHFj9e/fX/Pnz1dqaqratm2rbdu26e2331aPHj3Uvn17a7+DBg3Sv/71L/Xs2VN33nmndu3apVWrVqlKlSrFrrVZs2Z6/fXX9dJLL6l27doKCAhQhw4dCh3brVs3tW/fXs8884yOHDmixo0ba/Xq1fr44481bNgw6yzXlXr66af1zTffaNKkSdq6dat69uwpb29vbd68We+++67q16+vt99++7L2NXjwYM2ePVv9+vVTQkKCgoODtXjxYusyVz4XFxf93//9n7p06aKGDRvq4YcfVrVq1fTzzz8rLi5Ovr6++vTTTy861/fff6+OHTuqV69eatCggdzc3LRs2TIlJydfVtDy8vLSypUr1b9/f7Vo0UJffPGFPvvsM/373/8ucP9T165dVblyZS1dulRdunRRQEDAZb0ekvTzzz9bZwczMjL07bffaunSpUpKStLIkSOd1qLr2rWrXnvtNXXu3Fl9+vRRSkqK5syZo9q1a1uXuP+oadOmuvnmm7V06VLVr19ft9566yXrqVq1qsaOHasJEyaoc+fOuueee3TgwAHNnTtXt91222WFwcI0a9ZMkjR06FBFRkYWK/DOmTNHrVq1UqNGjTR48GDdeOONSk5O1tatW/XTTz9p165dl9xHq1attHDhQm3fvl3R0dFOfS1btlRaWprS0tL0xBNPFGvuUaNG6ZNPPtHdd9+tAQMGqFmzZsrMzNSePXv04Ycf6siRI4V+JvTo0UMLFy5Uv3795Ovra627CLD8CFCE77//3gwePNjUqFHDeHh4mAoVKpg77rjDzJo1y2mJgZycHDNhwgRTs2ZN4+7ubkJDQ83YsWOdxhhjTG5urhkzZoypUqWKKVeunImMjDQ//PBDkcuPbN++3Wn7/PXY/riWWlJSkunataupUKGCkXTJpUjOnj1rhg8fbkJCQoy7u7upU6eOmTJlSoFlMC53+ZE/HtvChQvNHXfcYXx9fY2Xl5dp2LChmTBhQqFLWVxsWY2jR4+ae+65x5QrV85UqVLFPPnkk2blypUFjt0YY7755htz3333mcqVKxtPT08TFhZmevXqZdauXWuNKWoJjFOnTpno6GhTr1494+PjY/z8/EyLFi2clj4pSv/+/Y2Pj485dOiQ6dSpkylXrpwJDAw0zz33nNOSHH/0+OOPG0lmyZIll9x/vvxlWiQZh8NhfH19TcOGDc3gwYOd1sr7o7feesvUqVPHeHp6mnr16pmFCxdar0FhJk+ebCSZ//znP5ddlzG/LzdSr1494+7ubgIDA81jjz1mzpw54zTmSpYfuXDhgnniiSdM1apVjcPhsOr983pqf6RClvQ5dOiQ6devnwkKCjLu7u6mWrVq5u677zYffvjhZR1X/pIxkgosEZKXl2f8/f2NJPP+++8X2PZy5z579qwZO3asqV27tvHw8DBVqlQxLVu2NFOnTrXWxSvquOfOnWskmaeeeuqyjgd/fQ5jytCd0wDwFzV8+HC99dZbSkpKKnCGsTTNmDFDw4cP15EjRwp8MxRA2UeQA4Br7Pz58woNDdXdd99d6BcPSosxRo0bN1blypUVFxdX2uUAKAbukQOAayQlJUVffvmlPvzwQ/36669Ov6O3NGVmZuqTTz5RXFyc9uzZo48//ri0SwJQTAQ5ALhGvv32W0VFRSkgIEAzZ84scs276+3kyZPq06eP/P399e9//1v33HNPaZcEoJi4tAoAAGBTrCMHAABgUwQ5AAAAm+IeucuQl5enX375RRUqVLjqXyMDAABwKcYYnT17ViEhIXJxKfq8G0HuMvzyyy8KDQ0t7TIAAMDfzPHjx3XDDTcU2V+qQW7jxo2aMmWKEhISdOLECS1btkw9evQodOy//vUvvfHGG5o2bZqGDRtmtZ8+fVpPPPGEPv30U7m4uKhnz56aMWOGypcvb43ZvXu3oqOjtX37dlWtWlVPPPGERo8efdl15v8+vePHj8vX17dYxwoAAHC50tPTFRoaamWQopRqkMvMzFTjxo31yCOP6L777ity3LJly/T1118rJCSkQF9UVJROnDihNWvWKCcnRw8//LCGDBmiJUuWSPr9hejUqZMiIiI0b9487dmzR4888oj8/f01ZMiQy6oz/3Kqr68vQQ4AAFw3l7qlq1SDXJcuXdSlS5eLjvn555/1xBNPaNWqVeratatT3/79+7Vy5Upt375dzZs3lyTNmjVLd911l6ZOnaqQkBDFxsYqOztbCxYskIeHhxo2bKjExES99tprlx3kAAAAyqIy/a3VvLw89e3bV6NGjVLDhg0L9G/dulX+/v5WiJOkiIgIubi4KD4+3hrTpk0beXh4WGMiIyN14MABnTlzptB5s7KylJ6e7vQAAAAoa8p0kJs0aZLc3Nw0dOjQQvuTkpIUEBDg1Obm5qZKlSopKSnJGhMYGOg0Jv95/pg/mzhxovz8/KwHX3QAAABlUZkNcgkJCZoxY4YWLVp03Zf8GDt2rNLS0qzH8ePHr+v8AAAAl6PMBrlNmzYpJSVF1atXl5ubm9zc3HT06FGNHDlSNWrUkCQFBQUpJSXFabsLFy7o9OnTCgoKssYkJyc7jcl/nj/mzzw9Pa0vNvAFBwAAUFaV2SDXt29f7d69W4mJidYjJCREo0aN0qpVqyRJ4eHhSk1NVUJCgrXdunXrlJeXpxYtWlhjNm7cqJycHGvMmjVrVLduXVWsWPH6HhQAAEAJKtVvrWZkZOiHH36wnh8+fFiJiYmqVKmSqlevrsqVKzuNd3d3V1BQkOrWrStJql+/vjp37qzBgwdr3rx5ysnJUUxMjHr37m0tVdKnTx9NmDBBAwcO1JgxY7R3717NmDFD06ZNu34HCgAAcA2UapDbsWOH2rdvbz0fMWKEJKl///5atGjRZe0jNjZWMTEx6tixo7Ug8MyZM61+Pz8/rV69WtHR0WrWrJmqVKmi8ePHs/QIAACwPYcxxpR2EWVdenq6/Pz8lJaWxv1yAADgmrvc7FFm75EDAADAxRHkAAAAbIogBwAAYFMEOQAAAJsiyAEAANgUQQ4AAMCmSnUdORSt2ah3SrsE4C8tYUq/0i4BAK4aZ+QAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2FSpBrmNGzeqW7duCgkJkcPh0PLly62+nJwcjRkzRo0aNZKPj49CQkLUr18//fLLL077OH36tKKiouTr6yt/f38NHDhQGRkZTmN2796t1q1by8vLS6GhoZo8efL1ODwAAIBrqlSDXGZmpho3bqw5c+YU6Dt37px27typcePGaefOnfrf//6nAwcO6J577nEaFxUVpX379mnNmjVasWKFNm7cqCFDhlj96enp6tSpk8LCwpSQkKApU6bo+eef1/z586/58QEAAFxLbqU5eZcuXdSlS5dC+/z8/LRmzRqnttmzZ+sf//iHjh07purVq2v//v1auXKltm/frubNm0uSZs2apbvuuktTp05VSEiIYmNjlZ2drQULFsjDw0MNGzZUYmKiXnvtNafABwAAYDe2ukcuLS1NDodD/v7+kqStW7fK39/fCnGSFBERIRcXF8XHx1tj2rRpIw8PD2tMZGSkDhw4oDNnzhQ6T1ZWltLT050eAAAAZY1tgtz58+c1ZswYPfTQQ/L19ZUkJSUlKSAgwGmcm5ubKlWqpKSkJGtMYGCg05j85/lj/mzixIny8/OzHqGhoSV9OAAAAFfNFkEuJydHvXr1kjFGr7/++jWfb+zYsUpLS7Mex48fv+ZzAgAAXKlSvUfucuSHuKNHj2rdunXW2ThJCgoKUkpKitP4Cxcu6PTp0woKCrLGJCcnO43Jf54/5s88PT3l6elZkocBAABQ4sr0Gbn8EHfw4EF9+eWXqly5slN/eHi4UlNTlZCQYLWtW7dOeXl5atGihTVm48aNysnJscasWbNGdevWVcWKFa/PgQAAAFwDpRrkMjIylJiYqMTEREnS4cOHlZiYqGPHjiknJ0f333+/duzYodjYWOXm5iopKUlJSUnKzs6WJNWvX1+dO3fW4MGDtW3bNm3ZskUxMTHq3bu3QkJCJEl9+vSRh4eHBg4cqH379un999/XjBkzNGLEiNI6bAAAgBJRqpdWd+zYofbt21vP88NV//799fzzz+uTTz6RJDVp0sRpu7i4OLVr106SFBsbq5iYGHXs2FEuLi7q2bOnZs6caY318/PT6tWrFR0drWbNmqlKlSoaP348S48AAADbK9Ug165dOxljiuy/WF++SpUqacmSJRcdc8stt2jTpk1XXB8AAEBZVqbvkQMAAEDRCHIAAAA2RZADAACwKYIcAACATRHkAAAAbIogBwAAYFMEOQAAAJsiyAEAANgUQQ4AAMCmCHIAAAA2RZADAACwKYIcAACATRHkAAAAbIogBwAAYFMEOQAAAJsiyAEAANgUQQ4AAMCmCHIAAAA2RZADAACwKYIcAACATRHkAAAAbIogBwAAYFMEOQAAAJsiyAEAANgUQQ4AAMCmCHIAAAA2RZADAACwKYIcAACATRHkAAAAbIogBwAAYFMEOQAAAJsiyAEAANgUQQ4AAMCmCHIAAAA2RZADAACwKYIcAACATRHkAAAAbIogBwAAYFMEOQAAAJsiyAEAANgUQQ4AAMCmCHIAAAA2RZADAACwqVINchs3blS3bt0UEhIih8Oh5cuXO/UbYzR+/HgFBwfL29tbEREROnjwoNOY06dPKyoqSr6+vvL399fAgQOVkZHhNGb37t1q3bq1vLy8FBoaqsmTJ1/rQwMAALjmSjXIZWZmqnHjxpozZ06h/ZMnT9bMmTM1b948xcfHy8fHR5GRkTp//rw1JioqSvv27dOaNWu0YsUKbdy4UUOGDLH609PT1alTJ4WFhSkhIUFTpkzR888/r/nz51/z4wMAALiW3Epz8i5duqhLly6F9hljNH36dD377LPq3r27JOmdd95RYGCgli9frt69e2v//v1auXKltm/frubNm0uSZs2apbvuuktTp05VSEiIYmNjlZ2drQULFsjDw0MNGzZUYmKiXnvtNafABwAAYDdl9h65w4cPKykpSREREVabn5+fWrRooa1bt0qStm7dKn9/fyvESVJERIRcXFwUHx9vjWnTpo08PDysMZGRkTpw4IDOnDlT6NxZWVlKT093egAAAJQ1ZTbIJSUlSZICAwOd2gMDA62+pKQkBQQEOPW7ubmpUqVKTmMK28cf5/iziRMnys/Pz3qEhoZe/QEBAACUsDIb5ErT2LFjlZaWZj2OHz9e2iUBAAAUUGaDXFBQkCQpOTnZqT05OdnqCwoKUkpKilP/hQsXdPr0aacxhe3jj3P8maenp3x9fZ0eAAAAZU2ZDXI1a9ZUUFCQ1q5da7Wlp6crPj5e4eHhkqTw8HClpqYqISHBGrNu3Trl5eWpRYsW1piNGzcqJyfHGrNmzRrVrVtXFStWvE5HAwAAUPJKNchlZGQoMTFRiYmJkn7/gkNiYqKOHTsmh8OhYcOG6aWXXtInn3yiPXv2qF+/fgoJCVGPHj0kSfXr11fnzp01ePBgbdu2TVu2bFFMTIx69+6tkJAQSVKfPn3k4eGhgQMHat++fXr//fc1Y8YMjRgxopSOGgAAoGSU6vIjO3bsUPv27a3n+eGqf//+WrRokUaPHq3MzEwNGTJEqampatWqlVauXCkvLy9rm9jYWMXExKhjx45ycXFRz549NXPmTKvfz89Pq1evVnR0tJo1a6YqVapo/PjxLD0CAABsz2GMMaVdRFmXnp4uPz8/paWlXbf75ZqNeue6zAP8XSVM6VfaJQBAkS43e5TZe+QAAABwcQQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKbKdJDLzc3VuHHjVLNmTXl7e6tWrVp68cUXZYyxxhhjNH78eAUHB8vb21sRERE6ePCg035Onz6tqKgo+fr6yt/fXwMHDlRGRsb1PhwAAIASVaaD3KRJk/T6669r9uzZ2r9/vyZNmqTJkydr1qxZ1pjJkydr5syZmjdvnuLj4+Xj46PIyEidP3/eGhMVFaV9+/ZpzZo1WrFihTZu3KghQ4aUxiEBAACUGLfSLuBivvrqK3Xv3l1du3aVJNWoUUPvvfeetm3bJun3s3HTp0/Xs88+q+7du0uS3nnnHQUGBmr58uXq3bu39u/fr5UrV2r79u1q3ry5JGnWrFm66667NHXqVIWEhBSYNysrS1lZWdbz9PT0a32oAAAAV6xMn5Fr2bKl1q5dq++//16StGvXLm3evFldunSRJB0+fFhJSUmKiIiwtvHz81OLFi20detWSdLWrVvl7+9vhThJioiIkIuLi+Lj4wudd+LEifLz87MeoaGh1+oQAQAAiq1Mn5F7+umnlZ6ernr16snV1VW5ubl6+eWXFRUVJUlKSkqSJAUGBjptFxgYaPUlJSUpICDAqd/NzU2VKlWyxvzZ2LFjNWLECOt5eno6YQ4AAJQ5ZTrIffDBB4qNjdWSJUvUsGFDJSYmatiwYQoJCVH//v2v2byenp7y9PS8ZvsHAAAoCWU6yI0aNUpPP/20evfuLUlq1KiRjh49qokTJ6p///4KCgqSJCUnJys4ONjaLjk5WU2aNJEkBQUFKSUlxWm/Fy5c0OnTp63tAQAA7KhM3yN37tw5ubg4l+jq6qq8vDxJUs2aNRUUFKS1a9da/enp6YqPj1d4eLgkKTw8XKmpqUpISLDGrFu3Tnl5eWrRosV1OAoAAIBro0yfkevWrZtefvllVa9eXQ0bNtQ333yj1157TY888ogkyeFwaNiwYXrppZdUp04d1axZU+PGjVNISIh69OghSapfv746d+6swYMHa968ecrJyVFMTIx69+5d6DdWAQAA7KJMB7lZs2Zp3Lhxevzxx5WSkqKQkBA9+uijGj9+vDVm9OjRyszM1JAhQ5SamqpWrVpp5cqV8vLyssbExsYqJiZGHTt2lIuLi3r27KmZM2eWxiEBAACUGIf5469JQKHS09Pl5+entLQ0+fr6Xpc5m41657rMA/xdJUzpV9olAECRLjd7FOseuQ4dOig1NbXQSTt06FCcXQIAAOAKFSvIrV+/XtnZ2QXaz58/r02bNl11UQAAALi0K7pHbvfu3dafv/32W6cFdXNzc7Vy5UpVq1at5KoDAABAka4oyDVp0kQOh0MOh6PQS6je3t5Ov9AeAAAA184VBbnDhw/LGKMbb7xR27ZtU9WqVa0+Dw8PBQQEyNXVtcSLBAAAQEFXFOTCwsIkyVqQFwAAAKWn2OvIHTx4UHFxcUpJSSkQ7P64zhsAAACujWIFuTfffFOPPfaYqlSpoqCgIDkcDqvP4XAQ5AAAAK6DYgW5l156SS+//LLGjBlT0vUAAADgMhVrHbkzZ87ogQceKOlaAAAAcAWKFeQeeOABrV69uqRrAQAAwBUo1qXV2rVra9y4cfr666/VqFEjubu7O/UPHTq0RIoDAABA0YoV5ObPn6/y5ctrw4YN2rBhg1Ofw+EgyAEAAFwHxQpyhw8fLuk6AAAAcIWKdY8cAAAASl+xzsg98sgjF+1fsGBBsYoBAADA5StWkDtz5ozT85ycHO3du1epqanq0KFDiRQGAACAiytWkFu2bFmBtry8PD322GOqVavWVRcFAACASyuxe+RcXFw0YsQITZs2raR2CQAAgIso0S87HDp0SBcuXCjJXQIAAKAIxbq0OmLECKfnxhidOHFCn332mfr3718ihQEAAODiihXkvvnmG6fnLi4uqlq1ql599dVLfqMVAAAAJaNYQS4uLq6k6wAAAMAVKlaQy3fy5EkdOHBAklS3bl1VrVq1RIoCAADApRXryw6ZmZl65JFHFBwcrDZt2qhNmzYKCQnRwIEDde7cuZKuEQAAAIUoVpAbMWKENmzYoE8//VSpqalKTU3Vxx9/rA0bNmjkyJElXSMAAAAKUaxLqx999JE+/PBDtWvXzmq766675O3trV69eun1118vqfoAAABQhGKdkTt37pwCAwMLtAcEBHBpFQAA4DopVpALDw/Xc889p/Pnz1ttv/32myZMmKDw8PASKw4AAABFK9al1enTp6tz58664YYb1LhxY0nSrl275OnpqdWrV5dogQAAAChcsYJco0aNdPDgQcXGxuq7776TJD300EOKioqSt7d3iRYIAACAwhUryE2cOFGBgYEaPHiwU/uCBQt08uRJjRkzpkSKAwAAQNGKdY/cG2+8oXr16hVob9iwoebNm3fVRQEAAODSihXkkpKSFBwcXKC9atWqOnHixFUXBQAAgEsrVpALDQ3Vli1bCrRv2bJFISEhV10UAAAALq1Y98gNHjxYw4YNU05Ojjp06CBJWrt2rUaPHs1vdgAAALhOihXkRo0apV9//VWPP/64srOzJUleXl4aM2aMxo4dW6IFAgAAoHDFCnIOh0OTJk3SuHHjtH//fnl7e6tOnTry9PQs6foAAABQhGIFuXzly5fXbbfdVlK1AAAA4AoU68sOAAAAKH0EOQAAAJsiyAEAANgUQQ4AAMCmynyQ+/nnn/XPf/5TlStXlre3txo1aqQdO3ZY/cYYjR8/XsHBwfL29lZERIQOHjzotI/Tp08rKipKvr6+8vf318CBA5WRkXG9DwUAAKBElekgd+bMGd1xxx1yd3fXF198oW+//VavvvqqKlasaI2ZPHmyZs6cqXnz5ik+Pl4+Pj6KjIzU+fPnrTFRUVHat2+f1qxZoxUrVmjjxo0aMmRIaRwSAABAiXEYY0xpF1GUp59+Wlu2bNGmTZsK7TfGKCQkRCNHjtRTTz0lSUpLS1NgYKAWLVqk3r17a//+/WrQoIG2b9+u5s2bS5JWrlypu+66Sz/99NNl/Uqx9PR0+fn5KS0tTb6+viV3gBfRbNQ712Ue4O8qYUq/0i4BAIp0udmjTJ+R++STT9S8eXM98MADCggIUNOmTfXmm29a/YcPH1ZSUpIiIiKsNj8/P7Vo0UJbt26VJG3dulX+/v5WiJOkiIgIubi4KD4+vtB5s7KylJ6e7vQAAAAoa8p0kPvxxx/1+uuvq06dOlq1apUee+wxDR06VG+//bYkKSkpSZIUGBjotF1gYKDVl5SUpICAAKd+Nzc3VapUyRrzZxMnTpSfn5/1CA0NLelDAwAAuGplOsjl5eXp1ltv1X/+8x81bdpUQ4YM0eDBgzVv3rxrOu/YsWOVlpZmPY4fP35N5wMAACiOMh3kgoOD1aBBA6e2+vXr69ixY5KkoKAgSVJycrLTmOTkZKsvKChIKSkpTv0XLlzQ6dOnrTF/5unpKV9fX6cHAABAWVOmg9wdd9yhAwcOOLV9//33CgsLkyTVrFlTQUFBWrt2rdWfnp6u+Ph4hYeHS5LCw8OVmpqqhIQEa8y6deuUl5enFi1aXIejAAAAuDbcSruAixk+fLhatmyp//znP+rVq5e2bdum+fPna/78+ZIkh8OhYcOG6aWXXlKdOnVUs2ZNjRs3TiEhIerRo4ek38/gde7c2bokm5OTo5iYGPXu3fuyvrEKAABQVpXpIHfbbbdp2bJlGjt2rF544QXVrFlT06dPV1RUlDVm9OjRyszM1JAhQ5SamqpWrVpp5cqV8vLyssbExsYqJiZGHTt2lIuLi3r27KmZM2eWxiEBAACUmDK9jlxZwTpywF8P68gBKMv+EuvIAQAAoGgEOQAAAJsiyAEAANgUQQ4AAMCmCHIAAAA2RZADAACwKYIcAACATZXpBYEBAFfm2AuNSrsE4C+t+vg9pV2CE87IAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZFkAMAALApghwAAIBNEeQAAABsiiAHAABgUwQ5AAAAmyLIAQAA2BRBDgAAwKYIcgAAADZlqyD3yiuvyOFwaNiwYVbb+fPnFR0drcqVK6t8+fLq2bOnkpOTnbY7duyYunbtqnLlyikgIECjRo3ShQsXrnP1AAAAJcs2QW779u164403dMsttzi1Dx8+XJ9++qmWLl2qDRs26JdfftF9991n9efm5qpr167Kzs7WV199pbfffluLFi3S+PHjr/chAAAAlChbBLmMjAxFRUXpzTffVMWKFa32tLQ0vfXWW3rttdfUoUMHNWvWTAsXLtRXX32lr7/+WpK0evVqffvtt3r33XfVpEkTdenSRS+++KLmzJmj7Ozs0jokAACAq2aLIBcdHa2uXbsqIiLCqT0hIUE5OTlO7fXq1VP16tW1detWSdLWrVvVqFEjBQYGWmMiIyOVnp6uffv2FTpfVlaW0tPTnR4AAABljVtpF3Ap//3vf7Vz505t3769QF9SUpI8PDzk7+/v1B4YGKikpCRrzB9DXH5/fl9hJk6cqAkTJpRA9QAAANdOmT4jd/z4cT355JOKjY2Vl5fXdZt37NixSktLsx7Hjx+/bnMDAABcrjId5BISEpSSkqJbb71Vbm5ucnNz04YNGzRz5ky5ubkpMDBQ2dnZSk1NddouOTlZQUFBkqSgoKAC32LNf54/5s88PT3l6+vr9AAAAChrynSQ69ixo/bs2aPExETr0bx5c0VFRVl/dnd319q1a61tDhw4oGPHjik8PFySFB4erj179iglJcUas2bNGvn6+qpBgwbX/ZgAAABKSpm+R65ChQq6+eabndp8fHxUuXJlq33gwIEaMWKEKlWqJF9fXz3xxBMKDw/X7bffLknq1KmTGjRooL59+2ry5MlKSkrSs88+q+joaHl6el73YwIAACgpZTrIXY5p06bJxcVFPXv2VFZWliIjIzV37lyr39XVVStWrNBjjz2m8PBw+fj4qH///nrhhRdKsWoAAICrZ7sgt379eqfnXl5emjNnjubMmVPkNmFhYfr888+vcWUAAADXV5m+Rw4AAABFI8gBAADYFEEOAADApghyAAAANkWQAwAAsCmCHAAAgE0R5AAAAGyKIAcAAGBTBDkAAACbIsgBAADYFEEOAADApghyAAAANkWQAwAAsCmCHAAAgE0R5AAAAGyKIAcAAGBTBDkAAACbIsgBAADYFEEOAADApghyAAAANkWQAwAAsCmCHAAAgE0R5AAAAGyKIAcAAGBTBDkAAACbIsgBAADYFEEOAADApghyAAAANkWQAwAAsCmCHAAAgE0R5AAAAGyKIAcAAGBTBDkAAACbIsgBAADYFEEOAADApghyAAAANkWQAwAAsCmCHAAAgE0R5AAAAGyKIAcAAGBTBDkAAACbIsgBAADYFEEOAADApghyAAAANlWmg9zEiRN12223qUKFCgoICFCPHj104MABpzHnz59XdHS0KleurPLly6tnz55KTk52GnPs2DF17dpV5cqVU0BAgEaNGqULFy5cz0MBAAAocWU6yG3YsEHR0dH6+uuvtWbNGuXk5KhTp07KzMy0xgwfPlyffvqpli5dqg0bNuiXX37RfffdZ/Xn5uaqa9euys7O1ldffaW3335bixYt0vjx40vjkAAAAEqMwxhjSruIy3Xy5EkFBARow4YNatOmjdLS0lS1alUtWbJE999/vyTpu+++U/369bV161bdfvvt+uKLL3T33Xfrl19+UWBgoCRp3rx5GjNmjE6ePCkPD48C82RlZSkrK8t6np6ertDQUKWlpcnX1/e6HGuzUe9cl3mAv6uEKf1Ku4Rr4tgLjUq7BOAvrfr4PddlnvT0dPn5+V0ye5TpM3J/lpaWJkmqVKmSJCkhIUE5OTmKiIiwxtSrV0/Vq1fX1q1bJUlbt25Vo0aNrBAnSZGRkUpPT9e+ffsKnWfixIny8/OzHqGhodfqkAAAAIrNNkEuLy9Pw4YN0x133KGbb75ZkpSUlCQPDw/5+/s7jQ0MDFRSUpI15o8hLr8/v68wY8eOVVpamvU4fvx4CR8NAADA1XMr7QIuV3R0tPbu3avNmzdf87k8PT3l6el5zecBAAC4GrY4IxcTE6MVK1YoLi5ON9xwg9UeFBSk7OxspaamOo1PTk5WUFCQNebP32LNf54/BgAAwI7KdJAzxigmJkbLli3TunXrVLNmTaf+Zs2ayd3dXWvXrrXaDhw4oGPHjik8PFySFB4erj179iglJcUas2bNGvn6+qpBgwbX50AAAACugTJ9aTU6OlpLlizRxx9/rAoVKlj3tPn5+cnb21t+fn4aOHCgRowYoUqVKsnX11dPPPGEwsPDdfvtt0uSOnXqpAYNGqhv376aPHmykpKS9Oyzzyo6OprLpwAAwNbKdJB7/fXXJUnt2rVzal+4cKEGDBggSZo2bZpcXFzUs2dPZWVlKTIyUnPnzrXGurq6asWKFXrssccUHh4uHx8f9e/fXy+88ML1OgwAAIBrokwHuctZ4s7Ly0tz5szRnDlzihwTFhamzz//vCRLAwAAKHVl+h45AAAAFI0gBwAAYFMEOQAAAJsiyAEAANgUQQ4AAMCmCHIAAAA2RZADAACwKYIcAACATRHkAAAAbIogBwAAYFMEOQAAAJsiyAEAANgUQQ4AAMCmCHIAAAA2RZADAACwKYIcAACATRHkAAAAbIogBwAAYFMEOQAAAJsiyAEAANgUQQ4AAMCmCHIAAAA2RZADAACwKYIcAACATRHkAAAAbIogBwAAYFMEOQAAAJsiyAEAANgUQQ4AAMCmCHIAAAA2RZADAACwKYIcAACATRHkAAAAbIogBwAAYFMEOQAAAJsiyAEAANgUQQ4AAMCmCHIAAAA2RZADAACwKYIcAACATRHkAAAAbIogBwAAYFMEOQAAAJv6WwW5OXPmqEaNGvLy8lKLFi20bdu20i4JAACg2P42Qe7999/XiBEj9Nxzz2nnzp1q3LixIiMjlZKSUtqlAQAAFMvfJsi99tprGjx4sB5++GE1aNBA8+bNU7ly5bRgwYLSLg0AAKBY3Eq7gOshOztbCQkJGjt2rNXm4uKiiIgIbd26tcD4rKwsZWVlWc/T0tIkSenp6de+2P9fbtZv120u4O/oev57vp7Ons8t7RKAv7Tr9dmRP48x5qLj/hZB7tSpU8rNzVVgYKBTe2BgoL777rsC4ydOnKgJEyYUaA8NDb1mNQK4vvxm/au0SwBgRxP9rut0Z8+elZ9f0XP+LYLclRo7dqxGjBhhPc/Ly9Pp06dVuXJlORyOUqwMZVF6erpCQ0N1/Phx+fr6lnY5AGyCzw5cjDFGZ8+eVUhIyEXH/S2CXJUqVeTq6qrk5GSn9uTkZAUFBRUY7+npKU9PT6c2f3//a1ki/gJ8fX35MAZwxfjsQFEudiYu39/iyw4eHh5q1qyZ1q5da7Xl5eVp7dq1Cg8PL8XKAAAAiu9vcUZOkkaMGKH+/furefPm+sc//qHp06crMzNTDz/8cGmXBgAAUCx/myD34IMP6uTJkxo/frySkpLUpEkTrVy5ssAXIIAr5enpqeeee67A5XgAuBg+O1ASHOZS32sFAABAmfS3uEcOAADgr4ggBwAAYFMEOQAAAJsiyAFXqV27dho2bNh1n7dGjRqaPn36dZ8XQMkozmfHgAED1KNHj2tSD+yJIIe/jHnz5qlChQq6cOGC1ZaRkSF3d3e1a9fOaez69evlcDh06NCh61wlgLKGzw7YGUEOfxnt27dXRkaGduzYYbVt2rRJQUFBio+P1/nz5632uLg4Va9eXbVq1SqNUgGUIXx2wM4IcvjLqFu3roKDg7V+/Xqrbf369erevbtq1qypr7/+2qm9ffv2ysvL08SJE1WzZk15e3urcePG+vDDD532u3fvXnXp0kXly5dXYGCg+vbtq1OnThVZx2effSY/Pz/FxsZKko4fP65evXrJ399flSpVUvfu3XXkyBFrfP6lkqlTpyo4OFiVK1dWdHS0cnJyrDEpKSnq1q2bvL29VbNmTWvfAK5eWf3syM3N1YgRI+Tv76/KlStr9OjR+vOKYStXrlSrVq2sMXfffbfT2cIOHTooJibGaZuTJ0/Kw8PD6bcdwb4IcvhLad++veLi4qzncXFxateundq2bWu1//bbb4qPj1f79u01ceJEvfPOO5o3b5727dun4cOH65///Kc2bNggSUpNTVWHDh3UtGlT7dixQytXrlRycrJ69epV6PxLlizRQw89pNjYWEVFRSknJ0eRkZGqUKGCNm3apC1btqh8+fLq3LmzsrOzneo8dOiQ4uLi9Pbbb2vRokVatGiR1T9gwAAdP35ccXFx+vDDDzV37lylpKRcg1cQ+Hsqa58dkvTqq69q0aJFWrBggTZv3qzTp09r2bJlTttlZmZqxIgR2rFjh9auXSsXFxfde++9ysvLkyQNGjRIS5YsUVZWlrXNu+++q2rVqqlDhw4l9wKi9BjgL+TNN980Pj4+Jicnx6Snpxs3NzeTkpJilixZYtq0aWOMMWbt2rVGkjly5IgpV66c+eqrr5z2MXDgQPPQQw8ZY4x58cUXTadOnZz6jx8/biSZAwcOGGOMadu2rXnyySfN7NmzjZ+fn1m/fr01dvHixaZu3bomLy/PasvKyjLe3t5m1apVxhhj+vfvb8LCwsyFCxesMQ888IB58MEHjTHGHDhwwEgy27Zts/r3799vJJlp06Zd7UsGwJS9zw5jjAkODjaTJ0+2nufk5JgbbrjBdO/evcjjOHnypJFk9uzZY4wx5rfffjMVK1Y077//vjXmlltuMc8///wVvkIoq/42v6ILfw/t2rVTZmamtm/frjNnzuimm25S1apV1bZtWz388MM6f/681q9frxtvvFEZGRk6d+6c7rzzTqd9ZGdnq2nTppKkXbt2KS4uTuXLly8w16FDh3TTTTdJkj788EOlpKRoy5Ytuu2226wxu3bt0g8//KAKFSo4bXv+/Hmnyx8NGzaUq6ur9Tw4OFh79uyRJO3fv19ubm5q1qyZ1V+vXj35+/sX81UC8Gdl7bMjLS1NJ06cUIsWLaw2Nzc3NW/e3Ony6sGDBzV+/HjFx8fr1KlT1pm4Y8eO6eabb5aXl5f69u2rBQsWqFevXtq5c6f27t2rTz75pORePJQqghz+UmrXrq0bbrhBcXFxOnPmjNq2bStJCgkJUWhoqL766ivFxcWpQ4cOysjIkPT7fSnVqlVz2k/+7z7MyMhQt27dNGnSpAJzBQcHW39u2rSpdu7cqQULFqh58+ZyOBzW9s2aNSv0nraqVataf3Z3d3fqczgc1gcygGuvrH12XK5u3bopLCxMb775pkJCQpSXl6ebb77Z6daNQYMGqUmTJvrpp5+0cOFCdejQQWFhYVc0D8oughz+ctq3b6/169frzJkzGjVqlNXepk0bffHFF9q2bZsee+wxNWjQQJ6enjp27Jj1of1nt956qz766CPVqFFDbm5F/3OpVauWXn31VbVr106urq6aPXu2tf3777+vgIAA+fr6Fut46tWrpwsXLighIcH6H/uBAweUmpparP0BKFxZ+uzw8/NTcHCw4uPj1aZNG0myPgduvfVWSdKvv/6qAwcO6M0331Tr1q0lSZs3by4wR6NGjdS8eXO9+eabWrJkiTUH/hr4sgP+ctq3b6/NmzcrMTHR6UO2bdu2euONN5Sdna327durQoUKeuqppzR8+HC9/fbbOnTokHbu3KlZs2bp7bffliRFR0fr9OnTeuihh7R9+3YdOnRIq1at0sMPP6zc3FyneW+66SbFxcXpo48+shb5jIqKUpUqVdS9e3dt2rRJhw8f1vr16zV06FD99NNPl3U8devWVefOnfXoo48qPj5eCQkJGjRokLy9vUvmBQMgqWx9dkjSk08+qVdeeUXLly/Xd999p8cff9zpP3AVK1ZU5cqVNX/+fP3www9at26dRowYUeixDRo0SK+88oqMMbr33ntL7kVDqSPI4S+nffv2+u2331S7dm0FBgZa7W3bttXZs2etpQYk6cUXX9S4ceM0ceJE1a9fX507d9Znn32mmjVrSvr9ssqWLVuUm5urTp06qVGjRho2bJj8/f3l4lLwn0/dunW1bt06vffeexo5cqTKlSunjRs3qnr16rrvvvtUv359DRw4UOfPn7+iM3QLFy5USEiI2rZtq/vuu09DhgxRQEDAVb5SAP6oLH12SNLIkSPVt29f9e/fX+Hh4apQoYJTCHNxcdF///tfJSQk6Oabb9bw4cM1ZcqUQo/toYcekpubmx566CF5eXmV2GuG0ucw5k+L0gAAgL+UI0eOqFatWtq+fbt1aRZ/DQQ5AAD+onJycvTrr7/qqaee0uHDh7Vly5bSLgkljEurAAD8RW3ZskXBwcHavn275s2bV9rl4BrgjBwAAIBNcUYOAADApghyAAAANkWQAwAAsCmCHAAAgE0R5AAAAGyKIAegTGnXrp3TrykqbfPnz1doaKhcXFw0ffr0Yu3D4XBo+fLlJVpXaVq0aJH8/f1LuwwAIsgBQJHS09MVExOjMWPG6Oeff9aQIUMuOv75559XkyZNrk9xACDJrbQLAICy6tixY8rJyVHXrl2t37EJAGUJZ+QAlJrMzEz169dP5cuXV3BwsF599VWn/sWLF6t58+aqUKGCgoKC1KdPH6WkpEiSjDGqXbu2pk6d6rRNYmKiHA6Hfvjhh0vOf+zYMXXv3l3ly5eXr6+vevXqpeTkZEm/Xz5s1KiRJOnGG2+Uw+HQkSNHitzXokWLNGHCBO3atUsOh0MOh0OLFi2y+k+dOqV7771X5cqVU506dfTJJ584bb9371516dJF5cuXV2BgoPr27atTp05d8hhWrFghf39/5ebmOh3/008/bY0ZNGiQ/vnPf1rPN2/erNatW8vb21uhoaEaOnSoMjMzrf6srCw99dRTqlatmnx8fNSiRQutX7++yBpOnjyp5s2b695771VWVtYlawZQcghyAErNqFGjtGHDBn388cdavXq11q9fr507d1r9OTk5evHFF7Vr1y4tX75cR44c0YABAyT9ft/ZI488ooULFzrtc+HChWrTpo1q16590bnz8vLUvXt3nT59Whs2bNCaNWv0448/6sEHH5QkPfjgg/ryyy8lSdu2bdOJEycUGhpa5P4efPBBjRw5Ug0bNtSJEyd04sQJa1+SNGHCBPXq1Uu7d+/WXXfdpaioKJ0+fVqSlJqaqg4dOqhp06basWOHVq5cqeTkZPXq1euSr2Hr1q119uxZffPNN5KkDRs2qEqVKk7Ba8OGDWrXrp0k6dChQ+rcubN69uyp3bt36/3339fmzZsVExNjjY+JidHWrVv13//+V7t379YDDzygzp076+DBgwXmP378uFq3bq2bb75ZH374oTw9PS9ZM4ASZACgFJw9e9Z4eHiYDz74wGr79ddfjbe3t3nyyScL3Wb79u1Gkjl79qwxxpiff/7ZuLq6mvj4eGOMMdnZ2aZKlSpm0aJFl5x/9erVxtXV1Rw7dsxq27dvn5Fktm3bZowx5ptvvjGSzOHDhy/rmJ577jnTuHHjAu2SzLPPPms9z8jIMJLMF198YYwx5sUXXzSdOnVy2ub48eNGkjlw4MAl57311lvNlClTjDHG9OjRw7z88svGw8PDnD171vz0009Gkvn++++NMcYMHDjQDBkyxGn7TZs2GRcXF/Pbb7+Zo0ePGldXV/Pzzz87jenYsaMZO3asMcaYhQsXGj8/P/Pdd9+Z0NBQM3ToUJOXl3fJOgGUPM7IASgVhw4dUnZ2tlq0aGG1VapUSXXr1rWeJyQkqFu3bqpevboqVKigtm3bSvr9kqgkhYSEqGvXrlqwYIEk6dNPP1VWVpYeeOCBS86/f/9+hYaGOp1la9Cggfz9/bV///4SOcY/uuWWW6w/+/j4yNfX17pMvGvXLsXFxal8+fLWo169epJ+f50upW3btlq/fr2MMdq0aZPuu+8+1a9fX5s3b9aGDRsUEhKiOnXqWHMtWrTIaa7IyEjl5eXp8OHD2rNnj3Jzc3XTTTc5jdmwYYNTLb/99ptat26t++67TzNmzJDD4SjJlwvAZeLLDgDKpMzMTEVGRioyMlKxsbGqWrWqjh07psjISGVnZ1vjBg0apL59+2ratGlauHChHnzwQZUrV64UKy+cu7u703OHw6G8vDxJUkZGhrp166ZJkyYV2O5yvmTRrl07LViwQLt27ZK7u7vq1aundu3aaf369Tpz5owVgPPnevTRRzV06NAC+6levbp2794tV1dXJSQkyNXV1am/fPny1p89PT0VERGhFStWaNSoUapWrdol6wRQ8ghyAEpFrVq15O7urvj4eFWvXl2SdObMGX3//fdq27atvvvuO/3666965ZVXrLNmO3bsKLCfu+66Sz4+Pnr99de1cuVKbdy48bLmr1+/vo4fP67jx49b+//222+VmpqqBg0aFOuYPDw8rC8dXIlbb71VH330kWrUqCE3tyv/WM6/T27atGlWaGvXrp1eeeUVnTlzRiNHjnSa69tvvy3yHsKmTZsqNzdXKSkpat26dZFzuri4aPHixerTp4/at2+v9evXKyQk5IprB3B1uLQKoFSUL19eAwcO1KhRo7Ru3Trt3btXAwYMkIvL7x9L1atXl4eHh2bNmqUff/xRn3zyiV588cUC+3F1ddWAAQM0duxY1alTR+Hh4Zc1f0REhBo1aqSoqCjt3LlT27ZtU79+/dS2bVs1b968WMdUo0YNHT58WImJiTp16tRlf4MzOjpap0+f1kMPPaTt27fr0KFDWrVqlR5++OHLCoYVK1bULbfcotjYWOtLDW3atNHOnTutYJxvzJgx+uqrrxQTE6PExEQdPHhQH3/8sfVlh5tuuklRUVHq16+f/ve//+nw4cPatm2bJk6cqM8++8xpXldXV8XGxqpx48bq0KGDkpKSLvOVAlBSCHIASs2UKVPUunVrdevWTREREWrVqpWaNWsmSapataoWLVqkpUuXqkGDBnrllVcKLDWSb+DAgcrOztbDDz982XM7HA59/PHHqlixotq0aaOIiAjdeOONev/994t9PD179lTnzp3Vvn17Va1aVe+9995lbRcSEqItW7YoNzdXnTp1UqNGjTRs2DD5+/tbwfZS2rZtq9zcXCvIVapUSQ0aNFBQUJDTfYe33HKLNmzYoO+//16tW7dW06ZNNX78eKezaQsXLlS/fv00cuRI1a1bVz169ND27dutM6d/5Obmpvfee08NGzZUhw4drPv+AFwfDmOMKe0iAOBqbNq0SR07dtTx48cVGBhY2uUAwHVDkANgW1lZWTp58qT69++voKAgxcbGlnZJAHBdcWkVgG299957CgsLU2pqqiZPnuzUFxsb67R8xh8fDRs2LNZ8DRs2LHKf1ypEHjt2rMg5y5cvby3FAuDviTNyAP6Szp49a/26rT9zd3dXWFjYFe/z6NGjysnJKbQvMDBQFSpUuOJ9XsqFCxcu+qvBivtNVwB/DQQ5AAAAm+LSKgAAgE0R5AAAAGyKIAcAAGBTBDkAAACbIsgBAADYFEEOAADApghyAAAANvX/AQLxqiyHhrsUAAAAAElFTkSuQmCC","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["\n","# Countplot for categorical variable ('day_of_the_week')\n","plt.figure(figsize=(7, 5))\n","sns.countplot(x=df['day_of_the_week'])\n","plt.title('Count of Orders by Day of the Week')\n","plt.show()\n","\n"]},{"cell_type":"markdown","metadata":{"id":"MZtro-g516Q-"},"source":["Observation:\n","\n","\n","*   The majority of orders occurs on the weekend with over 1.2k orders compared to ~600 orders on weekdays."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"executionInfo":{"elapsed":409,"status":"ok","timestamp":1701020332881,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"-3dNPdJSPkH0","outputId":"328735ec-7952-4c05-9682-9a004c19906c"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Countplot for another categorical variable ('rating')\n","plt.figure(figsize=(7, 5))\n","order =  df['rating'].value_counts().head(top_n).index\n","sns.countplot(x=df['rating'], order = order)\n","plt.title('Count of Ratings')\n","plt.show()\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"executionInfo":{"elapsed":335,"status":"ok","timestamp":1701020333213,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"bwX2cwHRPll0","outputId":"0d0d7783-4d15-465e-898f-57ead32cf6e5"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["\n","# Boxplot for a numerical variable ('food_preparation_time')\n","plt.figure(figsize=(7, 5))\n","sns.boxplot(x=df['food_preparation_time'])\n","plt.title('Boxplot of Food Preparation Time')\n","plt.show()\n","\n"]},{"cell_type":"markdown","metadata":{"id":"GW0hXkkv3Sxn"},"source":["Obervation:\n","\n","\n","*   The Boxplot for Food preparation time shows a normal distribution with no outliers ranging from  ~23 min to  ~31 min."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"executionInfo":{"elapsed":372,"status":"ok","timestamp":1701020333583,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"XNbTPY_U3o7c","outputId":"ebbf186e-ccb6-419f-91e5-42e0db016836"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Boxplot for delivery time\n","plt.figure(figsize = (7,5))\n","sns.boxplot(x=df['delivery_time'])\n","plt.title('Boxplot for Delivery Time')\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"6dCU9px344Qu"},"source":["Observation: The boxplot for delivery time shows a slight left skwed distribution with no outliers and a range from ~20 min to ~28 min."]},{"cell_type":"markdown","metadata":{"id":"K9CqA5H_JY_U"},"source":["### **Question 7**: Which are the top 5 restaurants in terms of the number of orders received? [1 mark]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1701020333583,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"PaJZ3wlOJY_U","outputId":"8a71266e-998f-4abb-f2e8-8a480cb40a48"},"outputs":[{"name":"stdout","output_type":"stream","text":["The top 5 restaurants are: \n"]},{"data":{"text/plain":["restaurant_name\n","Shake Shack                  219\n","The Meatball Shop            132\n","Blue Ribbon Sushi            119\n","Blue Ribbon Fried Chicken     96\n","Parm                          68\n","Name: order_id, dtype: int64"]},"execution_count":204,"metadata":{},"output_type":"execute_result"}],"source":["# Groupby  restaurant_name and count the order_id's\n","top_restaurant = df.groupby('restaurant_name')['order_id'].count().nlargest(5)\n","\n","print('The top 5 restaurants are: ' )\n","top_restaurant\n","\n"]},{"cell_type":"markdown","metadata":{"id":"gWPMqGq0JY_U"},"source":["### **Question 8**: Which is the most popular cuisine on weekends? [1 mark]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1701020333583,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"c-Xnus3VJY_U","outputId":"a770cef2-7c11-4818-d08d-d55bc2a1ac3d"},"outputs":[{"name":"stdout","output_type":"stream","text":["The top cuisine on weekends is: \n"]},{"data":{"text/plain":["cuisine_type\n","American    415\n","Name: order_id, dtype: int64"]},"execution_count":205,"metadata":{},"output_type":"execute_result"}],"source":["# Groupby cuisine and filter on column  and count the orders\n","\n","# Filter the dataframe for 'Weekend'\n","weekend_order = df[df['day_of_the_week'] == 'Weekend']\n","\n","# Group by cusine and count order_id\n","cusine = weekend_order.groupby('cuisine_type')['order_id'].count()\n","\n","\n","# Get the top cuisine\n","top_cuisine_weekends = cusine.nlargest(1)\n","\n","print('The top cuisine on weekends is: ')\n","top_cuisine_weekends\n","\n"]},{"cell_type":"markdown","metadata":{"id":"88xgTqkxJY_U"},"source":["### **Question 9**: What percentage of the orders cost more than 20 dollars? [2 marks]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1701020333583,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"OTpHyTdzJY_U","outputId":"e8367d9c-d247-43fa-b607-04a1afe16cad"},"outputs":[{"name":"stdout","output_type":"stream","text":["The percentage of orders above USD 20 is: 29.24%\n"]}],"source":["# Boolean value for > 20 dollars\n","\n","above_20_USD = df['cost_of_the_order'] > 20\n","\n","# Count how many times the condition is True\n","count_over_20 = above_20_USD.sum()\n","\n","# Calculate the proportion\n","proportion_over_20 = count_over_20 / len(df)\n","\n","# Convert to percentage\n","percentage_over_20 = proportion_over_20 * 100\n","\n","print(f\"The percentage of orders above USD 20 is: {percentage_over_20:.2f}%\")\n"]},{"cell_type":"markdown","metadata":{"id":"HFyHn7hsJY_V"},"source":["### **Question 10**: What is the mean order delivery time? [1 mark]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1701020333583,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"cyFL13hNJY_V","outputId":"aee14347-8dfb-49d3-a175-6e2f20a9ab37"},"outputs":[{"name":"stdout","output_type":"stream","text":["The mean for delivery time is: 24.16 minutes\n"]}],"source":["# Mean on column delivery time\n","\n","mean = df['delivery_time'].mean()\n","\n","print('The mean for delivery time is:', round(mean,2), 'minutes')\n"]},{"cell_type":"markdown","metadata":{"id":"48IjaOuDJY_V"},"source":["### **Question 11:** The company has decided to give 20% discount vouchers to the top 3 most frequent customers. Find the IDs of these customers and the number of orders they placed. [1 mark]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1701020333583,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"Hz8-DE4Zge0j","outputId":"d1343244-88ca-41f6-f72e-67f3d270cecc"},"outputs":[{"name":"stdout","output_type":"stream","text":["The top 3 customer IDs are:\n"]},{"data":{"text/plain":["customer_id\n","52832    13\n","47440    10\n","83287     9\n","Name: order_id, dtype: int64"]},"execution_count":208,"metadata":{},"output_type":"execute_result"}],"source":["# Group by most frequest orders of customers\n","\n","top_3 = df.groupby('customer_id')['order_id'].count().nlargest(3)\n","\n","print('The top 3 customer IDs are:')\n","top_3"]},{"cell_type":"markdown","metadata":{"id":"9tWVwfX6JY_V"},"source":["#### Observations: The top 3 customer IDs and number of orders are:\n","\n","\n","\n","*   ID 52832: 13 orders\n","*   47440: 10 orders\n","*   83287: 9 orders\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"AfIc2jPaJY_V"},"source":["### Multivariate Analysis"]},{"cell_type":"markdown","metadata":{"id":"iqiS0RT_JY_V"},"source":["### **Question 12**: Perform a multivariate analysis to explore relationships between the important variables in the dataset. (It is a good idea to explore relations between numerical variables as well as relations between numerical and categorical variables) [10 marks]\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":539},"executionInfo":{"elapsed":1433,"status":"ok","timestamp":1701029580724,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"v4cM4BTLNe5-","outputId":"66781240-bd75-4ad2-c922-8545cd92216b"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1500x600 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Group by cuisine type and weekend/weekday, then count orders and average cost\n","grouped = df.groupby(['cuisine_type', 'weekend']).agg(mean_demand=('order_id', 'count'),\n","                                                      mean_price=('cost_of_the_order', 'mean')).reset_index()\n","\n","# Pivot the data for easy plotting\n","pivot_demand = grouped.pivot(index='cuisine_type', columns='weekend', values='mean_demand')\n","pivot_price = grouped.pivot(index='cuisine_type', columns='weekend', values='mean_price')\n","\n","# Plotting\n","fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(15, 6))\n","\n","# Mean Demand Plot\n","pivot_demand.plot(kind='bar', ax=axes[0])\n","axes[0].set_title('Mean Demand per Cuisine Type')\n","axes[0].set_ylabel('Mean Demand')\n","axes[0].set_xlabel('Cuisine Type')\n","axes[0].legend(['Weekdays', 'Weekends'])  # Renaming the legend to be more descriptive\n","\n","# Mean Price Plot\n","pivot_price.plot(kind='bar', ax=axes[1])\n","axes[1].set_title('Mean Price per Cuisine Type')\n","axes[1].set_ylabel('Mean Price ($)')\n","axes[1].set_xlabel('Cuisine Type')\n","axes[1].legend(['Weekdays', 'Weekends'])  # Renaming the legend to be more descriptive\n","\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"MkmUd4LjQ-Dl"},"source":["Observation:\n","\n","\n","*   The average demand more than doubles for all cuisines on weekends.\n","*   The average price however only incrreases slighgtly on weekends compared to weekdays.\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":596},"executionInfo":{"elapsed":777,"status":"ok","timestamp":1701020334358,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"h85s-1fsDqB2","outputId":"a3025bf2-41be-4d28-988d-8255c3c0b5aa"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["\n","# Add a column 'order_count' which will be 1 for each row, to later sum for counting\n","df['order_count'] = 1\n","\n","# New DataFrame with the sum of 'order_count' and mean of other variables grouped by cuisine type\n","grouped_df = df.groupby('cuisine_type').agg({\n","    'order_count': 'sum',  # Summing up the order count for each cuisine type\n","    'food_preparation_time': 'mean',\n","    'delivery_time': 'mean',\n","    'cost_of_the_order': 'mean'\n","}).reset_index()\n","\n","# Correlation matrix for the grouped data\n","correlation_matrix_grouped = grouped_df.corr()\n","\n","# Plot the heatmap\n","sns.heatmap(correlation_matrix_grouped, annot=True, cmap='coolwarm')\n","plt.title('Correlation Matrix including Order Count')\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"hCcKBYDQD5ay"},"source":["Observation:\n","\n","\n","\n","*   Based on the  heatmap, it seems that there is a moderate positive correlation between food preparation time and the cost of the order (0.55), as well as between food preparation time and the number of orders (0.5).\n","\n","*  Longer preparation times correlate with more orders indicating a perceived higher quality of food rather than speed of delivery.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":997},"executionInfo":{"elapsed":1525,"status":"ok","timestamp":1701020335882,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"7Q1Nw0CAI8Ik","outputId":"4266cc08-5097-40d7-c985-30dc9048e3ad"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# DEMAND: ORDER PREPARATION AND DELIVERY TIME BY CUISINE TYPE\n","\n","# Order Counts by Cuisine Type\n","order_counts_by_cuisine = df.groupby('cuisine_type')['order_id'].nunique().reset_index(name='order_count')\n","\n","# Sort the cuisines by order count in descending order\n","order_counts_by_cuisine = order_counts_by_cuisine.sort_values('order_count', ascending=False)\n","\n","\n","# Get the order of cuisines by number of orders\n","cuisine_order = order_counts_by_cuisine['cuisine_type'].tolist()\n","\n","# Create the violin plot for food preparation time, ordered by cuisine popularity\n","plt.figure(figsize=(7, 5))\n","sns.violinplot(x='cuisine_type', y='food_preparation_time', data=df, order=cuisine_order)\n","plt.title('Food Preparation Time by Cuisine Type (Ordered by Demand)')\n","plt.xticks(rotation=90)\n","plt.xlabel('Cuisine Type')\n","plt.ylabel('Average Food Preparation Time (minutes)')\n","plt.tight_layout()  # Adjust the plot to ensure everything fits without overlapping\n","plt.show()\n","\n","# Create the violin plot for delivery time, ordered by cuisine popularity\n","plt.figure(figsize=(7, 5))\n","sns.violinplot(x='cuisine_type', y='delivery_time', data=df, order=cuisine_order)\n","plt.title('Delivery Time by Cuisine Type (Ordered by Demand)')\n","plt.xticks(rotation=90)\n","plt.xlabel('Cuisine Type')\n","plt.ylabel('Average Delivery Time (minutes)')\n","plt.tight_layout()  # Adjust the plot to ensure everything fits without overlapping\n","plt.show()\n"]},{"cell_type":"markdown","metadata":{"id":"R2zt-06EMIrW"},"source":["Observation:\n","\n","\n","*   The violin plots show the average food preparation and delivery time by cuisine type ordered by demand.\n","*   The top 3 cuisines show an evenly distributed food preparation and delivery time indicating that these restaurants are working efficiently and customers migh value the predictability of order time and delivery time (since the demand is higher). To understand what else might affect demand other than a possible preference for quality and predictability, we need to understand the price sensitivity of customers."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":556},"executionInfo":{"elapsed":1078,"status":"ok","timestamp":1701031897774,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"XZLb5vhg69Sf","outputId":"e01613c9-804c-4b0a-e21e-9dce6773e81a"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# PRICE SENSITIVITY: CUISINE TYPES BY COST\n","\n","# Count the number of orders for each cuisine type\n","cuisine_order_counts = df['cuisine_type'].value_counts().index\n","\n","# Relationship between cost of order split by cuisine types and ordered by number of orders to understand demand for different cuisines and willigness to pay\n","plt.figure(figsize=(7, 5))\n","sns.boxplot(x='cuisine_type', y='cost_of_the_order', data=df, order=cuisine_order_counts)\n","plt.title('Cost of Order by Cuisine Type')\n","plt.xticks(rotation=45)\n","plt.show()\n"]},{"cell_type":"markdown","metadata":{"id":"g8uTFRn1_JnZ"},"source":["Observation:\n","\n","\n","*   For visualizing the relationship between the cost of an order and customer_id, split by cuisine types, we would typically want to show how much different customers are willing to pay for various types of cuisines.  \n","*  The boxplot shows that the cost for the 3 most ordered cuisines (American, Japanese, Italian) are  distributed similarly with a slight right tailed distribution indicating a similar willingness to pay between USD 14-22.\n","\n","* Only the middle eastern cusine shows a few outliers, a few customers willing to pay between USD 30-35.\n","\n","* On average, customers with a preference for french and thai cuisine show the highest willigness to pay with USD ~20  compared to USD ~14 for the top 3 ordered cuisine.\n","\n","* Customers with a preference for Korean and Vietnamese have the lowest willigness to pay with USD ~13 on average.   "]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":529},"executionInfo":{"elapsed":2392,"status":"ok","timestamp":1701023245125,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"pOg-8NcSE0HT","outputId":"628373f6-c803-4dcb-810e-463adb8fae33"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 630.611x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# PRICE SENSITIVITY\n","\n","# Group the data and sum the costs, count the orders\n","grouped_data = df.groupby(['day_of_the_week', 'cuisine_type']).agg(total_cost=('cost_of_the_order', 'sum'),\n","                                                                   order_count=('order_id', 'count')).reset_index()\n","# We can use the grouped data from above to create a lmplot to understand price and demand\n","sns.lmplot(data=grouped_data, x='order_count', y='total_cost', hue='day_of_the_week', aspect=1, height=5)\n","\n","#  Set the plot title and adjust the plot if necessary\n","plt.title('Relationship between Total Cost and Number of Orders per Customer')\n","plt.show()\n"]},{"cell_type":"markdown","metadata":{"id":"Dt7lcC_BGYFi"},"source":["Observation:\n","\n","\n","\n","*  The lmplot showing a perfect correlation between price and demand which might not be entirely expected in typical market behavior, where price and demand often have an inverse relationship (as price increases, demand usually decreases).\n","*  However, in the context of restaurant orders, this could indicate that higher spending is associated with a higher frequency of orders, perhaps due to customer loyalty or preference for certain cuisines regardless of cost."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":576},"executionInfo":{"elapsed":1526,"status":"ok","timestamp":1701023257248,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"Fotkt3lZAIe1","outputId":"6150df4b-86ed-435d-d137-303a10298011"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["\n","# Replace 'Not given' ratings with NaN (or another method of your choice)\n","df['rating'] = pd.to_numeric(df['rating'], errors='coerce')\n","\n","# Group by cuisine type and calculate the mean rating\n","cuisine_ratings = df.groupby('cuisine_type')['rating'].mean()\n","cuisine_ratings_sorted = cuisine_ratings.sort_values(ascending=False)\n","\n","\n","# Plot the results\n","plt.figure(figsize=(7, 5))\n","cuisine_ratings_sorted.sort_values().plot(kind='bar')\n","plt.xlabel('Cuisine Type')\n","plt.ylabel('Average Rating')\n","plt.title('Average Rating by Cuisine Type')\n","plt.show()\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"executionInfo":{"elapsed":1159,"status":"ok","timestamp":1701023262016,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"q6NlN4P2I37g","outputId":"39fa7d6e-acb3-45e1-d90f-af8cc41dbf46"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# DEMAND: RATING AND CUISINE TYPE\n","\n","# Rating of restaurant: Replate the 'Not given' values with 0\n","df['rating'] = df['rating'].replace('Not given', 0).astype(float)\n","\n","# Group by cuisine_type to get average rating and order count\n","cuisine_demand = df.groupby('cuisine_type').agg({\n","    'rating': 'mean',\n","    'order_id': 'count'\n","}).reset_index()\n","\n","# Scatter plot for average rating vs number of orders\n","plt.figure(figsize=(7, 5))\n","sns.scatterplot(data=cuisine_demand, x='rating', y='order_id', hue = 'cuisine_type')\n","plt.title('Average Rating vs Demand by Cuisine Type')\n","plt.xlabel('Average Rating')\n","plt.ylabel('Number of Orders')\n","plt.show()\n"]},{"cell_type":"markdown","metadata":{"id":"8mmrWX7W4gVn"},"source":["Observation:\n","Based on the scatter plot, it does appear that there is no strong linear correlation between the average rating and the number of orders (demand) across different cuisine types. The data points do not form a clear upward or downward trend, which would be indicative of a positive or negative correlation, respectively."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":465},"executionInfo":{"elapsed":940,"status":"ok","timestamp":1701030958568,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"kFzjGPWyH09p","outputId":"89f0d4c3-72f7-4de4-cc2b-04424ec695b7"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# DEMAND: RATING AND Delivery and Food preparation time\n","# Replace missing values in 'rating' with 0\n","df['rating'].fillna(0, inplace=True)\n","\n","# Plot\n","plt.figure(figsize=(7, 5))\n","sns.pointplot(x = 'rating', y = 'delivery_time', data = df)\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"4f4MivL9yqtS"},"source":["Observation: A high rating seems to be correlated with a delivery time between 24.0 min and 24.75 min."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":465},"executionInfo":{"elapsed":641,"status":"ok","timestamp":1701023269603,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"evVokoIhIbRw","outputId":"0ff7fa70-89ad-46ab-9118-a5d96a2faf71"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 700x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(7, 5))\n","sns.pointplot(x = 'rating', y = 'food_preparation_time', data = df)\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"igFaJHaTI7B-"},"source":["Observation: The mean food preparation time does not seem to influence the rating much. However, a high rating (5) has a lower variance in food preparation time (between 27 min and 27.8 min) compared to a rating of 3 (between 26.8 and 28.1 min).\n","\n"]},{"cell_type":"markdown","metadata":{"id":"YLkMf09YJY_V"},"source":["### **Question 13:** The company wants to provide a promotional offer in the advertisement of the restaurants. The condition to get the offer is that the restaurants must have a rating count of more than 50 and the average rating should be greater than 4. Find the restaurants fulfilling the criteria to get the promotional offer. [3 marks]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":586},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1701020338457,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"0M_QDvbYJY_V","outputId":"61a3de93-5b01-49d0-d70d-00039f08fd78"},"outputs":[{"name":"stdout","output_type":"stream","text":["Restaurants with more than 50 ratings:\n","               restaurant_name  count_rating  average_rating\n","20   Blue Ribbon Fried Chicken            64        4.328125\n","21           Blue Ribbon Sushi            73        4.219178\n","136                Shake Shack           133        4.278195\n","153          The Meatball Shop            84        4.511905\n","\n","Restaurants with an average rating greater than 4:\n","              restaurant_name  count_rating  average_rating\n","0                  'wichcraft             1        5.000000\n","1                   12 Chairs             2        4.500000\n","3                   67 Burger             1        5.000000\n","5                        Amma             2        4.500000\n","7          Anjappar Chettinad             1        5.000000\n","..                        ...           ...             ...\n","171                   Yama 49             4        5.000000\n","172  Yama Japanese Restaurant             8        4.500000\n","175                da Umberto             1        5.000000\n","176          ilili Restaurant            13        4.153846\n","177                 indikitch             2        4.500000\n","\n","[110 rows x 3 columns]\n","The following restaurants fullfill both conditions: \n"]},{"data":{"text/html":["\n","  <div id=\"df-fcee1ea2-3f39-47b4-a8f1-9ae874b9ca7b\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>restaurant_name</th>\n","      <th>count_rating</th>\n","      <th>average_rating</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>20</th>\n","      <td>Blue Ribbon Fried Chicken</td>\n","      <td>64</td>\n","      <td>4.328125</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>Blue Ribbon Sushi</td>\n","      <td>73</td>\n","      <td>4.219178</td>\n","    </tr>\n","    <tr>\n","      <th>136</th>\n","      <td>Shake Shack</td>\n","      <td>133</td>\n","      <td>4.278195</td>\n","    </tr>\n","    <tr>\n","      <th>153</th>\n","      <td>The Meatball Shop</td>\n","      <td>84</td>\n","      <td>4.511905</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fcee1ea2-3f39-47b4-a8f1-9ae874b9ca7b')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\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-convert: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","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert: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","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-fcee1ea2-3f39-47b4-a8f1-9ae874b9ca7b button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      async function convertToInteractive(key) {\n","        const element = document.querySelector('#df-fcee1ea2-3f39-47b4-a8f1-9ae874b9ca7b');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\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-70337d2c-6dfc-4563-b536-cd92f9195c27\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-70337d2c-6dfc-4563-b536-cd92f9195c27')\"\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-70337d2c-6dfc-4563-b536-cd92f9195c27 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["               restaurant_name  count_rating  average_rating\n","20   Blue Ribbon Fried Chicken            64        4.328125\n","21           Blue Ribbon Sushi            73        4.219178\n","136                Shake Shack           133        4.278195\n","153          The Meatball Shop            84        4.511905"]},"execution_count":217,"metadata":{},"output_type":"execute_result"}],"source":["# Turn the rating column into a numeric variable and replace 'Not given' values with a 0 to avoid counting\n","\n","df['rating'] = pd.to_numeric(df['rating'].replace('Not given', None))\n","\n","\n","# Group by restaurant and use agg function to calculate count and average\n","\n","promotion = df.groupby('restaurant_name').agg(\n","    count_rating=('rating', 'count'),\n","    average_rating=('rating', 'mean')\n",").reset_index()\n","\n","# Use multiple filters to filter for restaurants with at least 50 ratings  and average rating > 4\n","\n","\n","## promotion.info() # to check for type of data which is integer and float\n","\n","promotion_filters = promotion[\n","                    (promotion['count_rating'] > 50) &\n","                    (promotion['average_rating'] > 4)\n","                     ]\n","\n","\n","# Restaurants with more than 50 ratings\n","restaurants_with_enough_ratings = promotion[promotion['count_rating'] > 50]\n","\n","# Restaurants with an average rating greater than 4\n","restaurants_with_high_ratings = promotion[promotion['average_rating'] > 4]\n","\n","# Display the results\n","print(\"Restaurants with more than 50 ratings:\")\n","print(restaurants_with_enough_ratings)\n","\n","print(\"\\nRestaurants with an average rating greater than 4:\")\n","print(restaurants_with_high_ratings)\n","\n","# Restaurants fullfilling both conditions\n","\n","print('The following restaurants fullfill both conditions: ')\n","promotion_filters"]},{"cell_type":"markdown","metadata":{"id":"10uryUMhJY_V"},"source":["#### Observations: 4 restaurants fullfill the condition.\n"]},{"cell_type":"markdown","metadata":{"id":"1gvWBkRUJY_V"},"source":["### **Question 14:** The company charges the restaurant 25% on the orders having cost greater than 20 dollars and 15% on the orders having cost greater than 5 dollars. Find the net revenue generated by the company across all orders. [3 marks]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"executionInfo":{"elapsed":372,"status":"ok","timestamp":1701020338823,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"rEjbnTNEJY_W","outputId":"622f2198-a510-49cf-8a16-86867c63212e"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-c5fff409-c62a-4586-a5b5-6b033858068d\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>restaurant_name</th>\n","      <th>Revenue_USD_25</th>\n","      <th>Revenue_USD_15</th>\n","      <th>Total Revenue</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>86</th>\n","      <td>Shake Shack</td>\n","      <td>2101.38</td>\n","      <td>4116.46</td>\n","      <td>6217.84</td>\n","    </tr>\n","    <tr>\n","      <th>98</th>\n","      <td>The Meatball Shop</td>\n","      <td>1225.59</td>\n","      <td>2466.99</td>\n","      <td>3692.58</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>Blue Ribbon Sushi</td>\n","      <td>935.85</td>\n","      <td>2189.54</td>\n","      <td>3125.39</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>Blue Ribbon Fried Chicken</td>\n","      <td>1135.75</td>\n","      <td>1911.63</td>\n","      <td>3047.38</td>\n","    </tr>\n","    <tr>\n","      <th>67</th>\n","      <td>Parm</td>\n","      <td>645.54</td>\n","      <td>1279.67</td>\n","      <td>1925.21</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>71</th>\n","      <td>Pongsri Thai</td>\n","      <td>25.22</td>\n","      <td>38.21</td>\n","      <td>63.43</td>\n","    </tr>\n","    <tr>\n","      <th>87</th>\n","      <td>Socarrat Paella Bar</td>\n","      <td>31.52</td>\n","      <td>29.00</td>\n","      <td>60.52</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Aurora</td>\n","      <td>27.41</td>\n","      <td>32.97</td>\n","      <td>60.38</td>\n","    </tr>\n","    <tr>\n","      <th>72</th>\n","      <td>Posto</td>\n","      <td>30.31</td>\n","      <td>27.89</td>\n","      <td>58.20</td>\n","    </tr>\n","    <tr>\n","      <th>69</th>\n","      <td>Philippe Chow</td>\n","      <td>30.25</td>\n","      <td>27.83</td>\n","      <td>58.08</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>115 rows × 4 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c5fff409-c62a-4586-a5b5-6b033858068d')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\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-convert: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","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert: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","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-c5fff409-c62a-4586-a5b5-6b033858068d button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      async function convertToInteractive(key) {\n","        const element = document.querySelector('#df-c5fff409-c62a-4586-a5b5-6b033858068d');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\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-fa1e34e3-f695-48c6-89cd-c6cf4cb5ecfd\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fa1e34e3-f695-48c6-89cd-c6cf4cb5ecfd')\"\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-fa1e34e3-f695-48c6-89cd-c6cf4cb5ecfd button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["              restaurant_name  Revenue_USD_25  Revenue_USD_15  Total Revenue\n","86                Shake Shack         2101.38         4116.46        6217.84\n","98          The Meatball Shop         1225.59         2466.99        3692.58\n","14          Blue Ribbon Sushi          935.85         2189.54        3125.39\n","13  Blue Ribbon Fried Chicken         1135.75         1911.63        3047.38\n","67                       Parm          645.54         1279.67        1925.21\n","..                        ...             ...             ...            ...\n","71               Pongsri Thai           25.22           38.21          63.43\n","87        Socarrat Paella Bar           31.52           29.00          60.52\n","5                      Aurora           27.41           32.97          60.38\n","72                      Posto           30.31           27.89          58.20\n","69              Philippe Chow           30.25           27.83          58.08\n","\n","[115 rows x 4 columns]"]},"execution_count":218,"metadata":{},"output_type":"execute_result"}],"source":["# Revenue: Profit + cost (or in this case: Cost * Markup in %)\n","\n","# Restaurants with orders > 20 dollars\n","\n","df_25 = df[df['cost_of_the_order'] > 20 ]\n","\n","# New revenue column\n","\n","df_25['revenue'] = df_25['cost_of_the_order'] * 1.25\n","\n","# Group by restaurant\n","\n","df_restaurant_25 = df_25.groupby('restaurant_name').agg(\n","                Revenue_USD_25 = ('revenue', 'sum')\n",")\n","\n","\n","# More efficient code with lambda for 15% on order above 5 USD and below 20USD\n","df_restaurant_15 = df[df['cost_of_the_order'] > 5 & (df['cost_of_the_order'] < 20)].groupby('restaurant_name').agg(\n","    Revenue_USD_15=('cost_of_the_order', lambda x: (x * 1.15).sum())\n",").reset_index()\n","\n","df_restaurant_15\n","\n","# Aggregate and sum of total revenue\n","revenue = pd.merge(df_restaurant_25,df_restaurant_15,how='inner',on='restaurant_name').round(2)\n","\n","\n","revenue['Total Revenue'] = revenue['Revenue_USD_25'] + revenue['Revenue_USD_15']\n","revenue_sorted = revenue.sort_values(by='Total Revenue', ascending=False)\n","\n","revenue_sorted\n"]},{"cell_type":"markdown","metadata":{"id":"XHCEJgH0JY_W"},"source":["#### Observations:\n","The top 3 restaurants by revenue are Shake Shack (USD 6217.84), The Meatball Shop (USD 3692.58) and Blue Ribbon Sushi (USD 3125.39)"]},{"cell_type":"markdown","metadata":{"id":"pRlVW-oeJY_W"},"source":["### **Question 15:** The company wants to analyze the total time required to deliver the food. What percentage of orders take more than 60 minutes to get delivered from the time the order is placed? (The food has to be prepared and then delivered.) [2 marks]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":12,"status":"ok","timestamp":1701020338823,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"zxoTrxfLJY_W","outputId":"50200c13-c984-4a52-ae18-393792cf4afa"},"outputs":[{"name":"stdout","output_type":"stream","text":["The percentage of orders above a total time required to deliver the food in % is: 10.54\n"]}],"source":["# Calculate the total delivery time: preparation + delivery time\n","\n","df['total_time'] = df['delivery_time'] +  df['food_preparation_time']\n","\n","# % of orders above 60 min\n","order_60 = df[df['total_time'] > 60]\n","\n","count = order_60['order_id'].count()\n","\n","percentage = (count / len(df['order_id'])) * 100\n","\n","print('The percentage of orders above a total time required to deliver the food in % is:', round(percentage,2))\n"]},{"cell_type":"markdown","metadata":{"id":"iqzBXn2yJY_W"},"source":["#### Observations: The percentage of orders above a total time required to deliver the food of 60 min in %: 10.54\n","\n","\n","\n","\n","\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"bUd6cYpPJY_W"},"source":["### **Question 16:** The company wants to analyze the delivery time of the orders on weekdays and weekends. How does the mean delivery time vary during weekdays and weekends? [2 marks]"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":130},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1701020338823,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"pIU5xZZ6JY_W","outputId":"a7449244-1073-44db-bd84-8af3d3c8373f"},"outputs":[{"name":"stdout","output_type":"stream","text":["The mean time of orders for the weekdays and weekends is: \n"]},{"data":{"text/html":["\n","  <div id=\"df-ca01cfa7-bc62-4f9b-a4b7-895cdd00a988\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>day_of_the_week</th>\n","      <th>mean</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Weekday</td>\n","      <td>28.34</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Weekend</td>\n","      <td>22.47</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ca01cfa7-bc62-4f9b-a4b7-895cdd00a988')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\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-convert: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","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert: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","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-ca01cfa7-bc62-4f9b-a4b7-895cdd00a988 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","\n","      async function convertToInteractive(key) {\n","        const element = document.querySelector('#df-ca01cfa7-bc62-4f9b-a4b7-895cdd00a988');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\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-f3bdf609-4e8f-43e8-9a84-0247cf3e7082\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-f3bdf609-4e8f-43e8-9a84-0247cf3e7082')\"\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-f3bdf609-4e8f-43e8-9a84-0247cf3e7082 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"],"text/plain":["  day_of_the_week   mean\n","0         Weekday  28.34\n","1         Weekend  22.47"]},"execution_count":220,"metadata":{},"output_type":"execute_result"}],"source":["# Mean for delivery time on weekdays and weekends\n","\n","# Group by weekdays and weekends\n","\n","mean_compare = df.groupby('day_of_the_week').agg(\n","              mean = ('delivery_time', 'mean')\n","\n",").reset_index()\n","\n","\n","# Extract mean values\n","mean_weekday = mean_compare[mean_compare['day_of_the_week'] == 'Weekday']['mean'].values[0]\n","mean_weekend = mean_compare[mean_compare['day_of_the_week'] == 'Weekend']['mean'].values[0]\n","\n","# Calculate the difference\n","difference = mean_weekday - mean_weekend\n","\n","print('The mean time of orders for the weekdays and weekends is: ')\n","round(mean_compare,2)\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1701020338823,"user":{"displayName":"Hannah Becher","userId":"15486696895574017715"},"user_tz":-60},"id":"oMjF-Vl5_k4i","outputId":"35792b49-fccb-4c52-ef21-611ff32a3842"},"outputs":[{"name":"stdout","output_type":"stream","text":["The differnece in means is: 5.87  min\n"]}],"source":["print('The differnece in means is:', round(difference,2), ' min' )"]},{"cell_type":"markdown","metadata":{"id":"17roJywaJY_W"},"source":["### Conclusion and Recommendations"]},{"cell_type":"markdown","metadata":{"id":"ZdX2Wz4FJY_W"},"source":["### **Question 17:** What are your conclusions from the analysis? What recommendations would you like to share to help improve the business? (You can use cuisine type and feedback ratings to drive your business recommendations.) [6 marks]"]},{"cell_type":"markdown","metadata":{"id":"VTugVsL4Ddz-"},"source":["### Conclusions:\n","\n","We analyzed a dataset of nearly 2K Orders containing food delivery information.\n","\n","The data covers weekday and weekend information for a set of 178 restaurants. The main features of interest here are the order_ids, ratings, cuisine types and cost given that the food sector wants to get insight into the demand of different restaurants which will help them in enhancing their customer experience. From a business perspective, the price sensitivity show a perfect correlation between price and demand with double the orders on weekends compared to weekday's.  \n","\n","We have been able to conclude that:\n","\n","* The most ordered cuisines are American, Japanese, Italian.\n","* The restaurants with over 50 orders per customer have a rating of between 4.2-4.5.\n","* Delivery time  seems to impact rating as a delivery time of  ∼24 min is associated with ratings of 4. However, customers giving the highest rating of 5 do not seem to mind a higher delivery or food preparation time.\n","* The delivery times on weekdays is on average ∼5min longer than on weekends.\n","* The average delivery time for the most ordered cuisines is ∼25min.  \n","* The demand for food delivery almost doubles on weekends compared to weekdays wheras the price only increases slightly.\n","* The preference for cuisine types on weekdays and weekdays stays the same as the most ordered cusines maintain to be American, Japanese and Italian.\n","* It seems that there is a moderate positive correlation between food preparation time and the number of orders (corr: 0.5). This could suggest that for different cuisines, the time invested in food preparation, so the food quality might be associated to the volume of orders.\n","* The cost for the 3 most ordered cuisines (American, Japanese, Italian) are distributed similarly with a slight right tailed distribution indicating a similar willingness to pay between USD 14-22.\n","\n","* The Spanish, Thai and Indian cusine show the highest rating. Since a higher rating for these (>4) seems to be associated with a lower delivery time between 24.00 and 24.24 min but not higher order number, it cannot be said that the rating directly influences demand which is surprising.\n","\n","* The French, Spanish and Thai cuisine have the highest mean cost.\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"PWnsI0i_guWJ"},"source":["### Recommendations:\n","\n","\n","1.  Demand Increase on Weekends: If there is a consistent pattern of demand increasing on weekends, it may provide the opportunity to implement dynamic pricing strategies and increase the price on weekends to enhance revenue. E.g. develop new pricing strategies for the top restaurants by demand for weekends, such as offering a 20% discount for loyal customers, which could encourage even higher demand.\n","\n","2.  Since the demand almost doubles on weekends, kitchen staff and driver availability must be ensured during this time of the week.\n","\n","2. Engage in supply negotiations to achieve bulk pricing, which could reduce variable costs associated with additional orders for the top demanded restaurants: American, Japanese and Italisan.\n","\n","3. Offer priority delivery or exclusive deals to high-value segments to enhance loyalty such as for customers of the French, Thai and Spanish cuisine.\n","\n","4. Perform customer segmentation to identify distinct groups based on order frequency, average spend, and cuisine preferences.\n","\n","5. Procure data for orders on an hourly basis to get a better understanding of the demand-supply status and build a machine learning model to accurately predict orders per hour.\n","\n","6. Procure data on kitchen staff and delivery personel availability to implement a dynamic scheduling system for delivery personnel to ensure faster delivery during high-demand periods such as weekends.\n","\n","\n","7. Tailor marketing campaigns to highlight cuisines and dishes with the highest ratings and demand, especially during peak times. E.g. use customer data to personalize promotions and recommend dishes based on past orders.\n","\n"]},{"cell_type":"markdown","metadata":{"id":"tSoucKKbg9Hc"},"source":["---"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"hIVfyZygssOz"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"hide_input":false,"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.7"},"toc":{"base_numbering":1,"nav_menu":{},"number_sections":true,"sideBar":true,"skip_h1_title":false,"title_cell":"Table of Contents","title_sidebar":"Contents","toc_cell":false,"toc_position":{},"toc_section_display":true,"toc_window_display":false},"varInspector":{"cols":{"lenName":16,"lenType":16,"lenVar":40},"kernels_config":{"python":{"delete_cmd_postfix":"","delete_cmd_prefix":"del ","library":"var_list.py","varRefreshCmd":"print(var_dic_list())"},"r":{"delete_cmd_postfix":") ","delete_cmd_prefix":"rm(","library":"var_list.r","varRefreshCmd":"cat(var_dic_list()) "}},"types_to_exclude":["module","function","builtin_function_or_method","instance","_Feature"],"window_display":false}},"nbformat":4,"nbformat_minor":0}