{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "code", "source": [ "#importing libraries\n", "import pandas as pd\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "import warnings\n", "warnings.filterwarnings('ignore')" ], "metadata": { "id": "1Ym6iWW35Scc" }, "execution_count": 1, "outputs": [] }, { "cell_type": "code", "source": [ "#import dataset\n", "movies = pd.read_csv(\"/content/Movie-Ratings.csv\")" ], "metadata": { "id": "iWRV9od-vtj9" }, "execution_count": 2, "outputs": [] }, { "cell_type": "code", "source": [ "#Display Top 5 Rows of The Dataset\n", "movies.head()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "9WfOSLxevyV_", "outputId": "99538174-e8c7-4cb0-cca9-8be024f908fa" }, "execution_count": 3, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Film Genre Rotten_Tomatoes_Ratings \\\n", "0 (500) Days of Summer Comedy 87 \n", "1 10,000 B.C. Adventure 9 \n", "2 12 Rounds Action 30 \n", "3 127 Hours Adventure 93 \n", "4 17 Again Comedy 55 \n", "\n", " Audience_Ratings Budget_M Year \n", "0 81 8 2009 \n", "1 44 105 2008 \n", "2 52 20 2009 \n", "3 84 18 2010 \n", "4 70 20 2009 " ], "text/html": [ "\n", " <div id=\"df-3b5e9b18-d65a-430a-b47c-73e4e71f95a8\">\n", " <div 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>Film</th>\n", " <th>Genre</th>\n", " <th>Rotten_Tomatoes_Ratings</th>\n", " <th>Audience_Ratings</th>\n", " <th>Budget_M</th>\n", " <th>Year</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>(500) Days of Summer</td>\n", " <td>Comedy</td>\n", " <td>87</td>\n", " <td>81</td>\n", " <td>8</td>\n", " <td>2009</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>10,000 B.C.</td>\n", " <td>Adventure</td>\n", " <td>9</td>\n", " <td>44</td>\n", " <td>105</td>\n", " <td>2008</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>12 Rounds</td>\n", " <td>Action</td>\n", " <td>30</td>\n", " <td>52</td>\n", " <td>20</td>\n", " <td>2009</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>127 Hours</td>\n", " <td>Adventure</td>\n", " <td>93</td>\n", " <td>84</td>\n", " <td>18</td>\n", " <td>2010</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>17 Again</td>\n", " <td>Comedy</td>\n", " <td>55</td>\n", " <td>70</td>\n", " <td>20</td>\n", " <td>2009</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>\n", " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3b5e9b18-d65a-430a-b47c-73e4e71f95a8')\"\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 0 24 24\"\n", " width=\"24px\">\n", " <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n", " <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n", " </svg>\n", " </button>\n", " \n", " <style>\n", " .colab-df-container {\n", " display:flex;\n", " flex-wrap:wrap;\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", " [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-3b5e9b18-d65a-430a-b47c-73e4e71f95a8 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-3b5e9b18-d65a-430a-b47c-73e4e71f95a8');\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", " </div>\n", " " ] }, "metadata": {}, "execution_count": 3 } ] }, { "cell_type": "code", "source": [ "#Display Bottom 5 Rows of The Dataset\n", "movies.tail()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "dDXrfyenwg86", "outputId": "781e2adb-26fc-46dd-d467-34f5bf69438d" }, "execution_count": 4, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Film Genre Rotten_Tomatoes_Ratings Audience_Ratings \\\n", "554 Your Highness Comedy 26 36 \n", "555 Youth in Revolt Comedy 68 52 \n", "556 Zodiac Thriller 89 73 \n", "557 Zombieland Action 90 87 \n", "558 Zookeeper Comedy 14 42 \n", "\n", " Budget_M Year \n", "554 50 2011 \n", "555 18 2009 \n", "556 65 2007 \n", "557 24 2009 \n", "558 80 2011 " ], "text/html": [ "\n", " <div id=\"df-3d546f35-8aee-45e4-a27b-9bacb7587d09\">\n", " <div 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>Film</th>\n", " <th>Genre</th>\n", " <th>Rotten_Tomatoes_Ratings</th>\n", " <th>Audience_Ratings</th>\n", " <th>Budget_M</th>\n", " <th>Year</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>554</th>\n", " <td>Your Highness</td>\n", " <td>Comedy</td>\n", " <td>26</td>\n", " <td>36</td>\n", " <td>50</td>\n", " <td>2011</td>\n", " </tr>\n", " <tr>\n", " <th>555</th>\n", " <td>Youth in Revolt</td>\n", " <td>Comedy</td>\n", " <td>68</td>\n", " <td>52</td>\n", " <td>18</td>\n", " <td>2009</td>\n", " </tr>\n", " <tr>\n", " <th>556</th>\n", " <td>Zodiac</td>\n", " <td>Thriller</td>\n", " <td>89</td>\n", " <td>73</td>\n", " <td>65</td>\n", " <td>2007</td>\n", " </tr>\n", " <tr>\n", " <th>557</th>\n", " <td>Zombieland</td>\n", " <td>Action</td>\n", " <td>90</td>\n", " <td>87</td>\n", " <td>24</td>\n", " <td>2009</td>\n", " </tr>\n", " <tr>\n", " <th>558</th>\n", " <td>Zookeeper</td>\n", " <td>Comedy</td>\n", " <td>14</td>\n", " <td>42</td>\n", " <td>80</td>\n", " <td>2011</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>\n", " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3d546f35-8aee-45e4-a27b-9bacb7587d09')\"\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 0 24 24\"\n", " width=\"24px\">\n", " <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n", " <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n", " </svg>\n", " </button>\n", " \n", " <style>\n", " .colab-df-container {\n", " display:flex;\n", " flex-wrap:wrap;\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", " [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-3d546f35-8aee-45e4-a27b-9bacb7587d09 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-3d546f35-8aee-45e4-a27b-9bacb7587d09');\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", " </div>\n", " " ] }, "metadata": {}, "execution_count": 4 } ] }, { "cell_type": "code", "source": [ "#lets prints the information about the DataFrame\n", "movies.info()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "3ghHyn3awb8Z", "outputId": "bdcb2923-baf6-44bb-c16c-9dc64c2e766b" }, "execution_count": 5, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 559 entries, 0 to 558\n", "Data columns (total 6 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Film 559 non-null object\n", " 1 Genre 559 non-null object\n", " 2 Rotten_Tomatoes_Ratings 559 non-null int64 \n", " 3 Audience_Ratings 559 non-null int64 \n", " 4 Budget_M 559 non-null int64 \n", " 5 Year 559 non-null int64 \n", "dtypes: int64(4), object(2)\n", "memory usage: 26.3+ KB\n" ] } ] }, { "cell_type": "markdown", "source": [ "***We have loaded the movies dataset. We can see that \"year\" is treated as an integer type. The year should not be treated as an integer.***" ], "metadata": { "id": "pdbIhnPCy0Zp" } }, { "cell_type": "code", "source": [ "#lets print the description of the data\n", "movies.describe()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 300 }, "id": "eTtVcclx0EmO", "outputId": "c85fe59d-a274-45b4-f404-7f9a4ad927c4" }, "execution_count": 6, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Rotten_Tomatoes_Ratings Audience_Ratings Budget_M Year\n", "count 559.000000 559.000000 559.000000 559.000000\n", "mean 47.309481 58.744186 50.236136 2009.152057\n", "std 26.413091 16.826887 48.731817 1.362632\n", "min 0.000000 0.000000 0.000000 2007.000000\n", "25% 25.000000 47.000000 20.000000 2008.000000\n", "50% 46.000000 58.000000 35.000000 2009.000000\n", "75% 70.000000 72.000000 65.000000 2010.000000\n", "max 97.000000 96.000000 300.000000 2011.000000" ], "text/html": [ "\n", " <div id=\"df-09e86c25-c96f-4f34-b93d-be85e5836696\">\n", " <div 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>Rotten_Tomatoes_Ratings</th>\n", " <th>Audience_Ratings</th>\n", " <th>Budget_M</th>\n", " <th>Year</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>559.000000</td>\n", " <td>559.000000</td>\n", " <td>559.000000</td>\n", " <td>559.000000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>47.309481</td>\n", " <td>58.744186</td>\n", " <td>50.236136</td>\n", " <td>2009.152057</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>26.413091</td>\n", " <td>16.826887</td>\n", " <td>48.731817</td>\n", " <td>1.362632</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>2007.000000</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>25.000000</td>\n", " <td>47.000000</td>\n", " <td>20.000000</td>\n", " <td>2008.000000</td>\n", " </tr>\n", " <tr>\n", " <th>50%</th>\n", " <td>46.000000</td>\n", " <td>58.000000</td>\n", " <td>35.000000</td>\n", " <td>2009.000000</td>\n", " </tr>\n", " <tr>\n", " <th>75%</th>\n", " <td>70.000000</td>\n", " <td>72.000000</td>\n", " <td>65.000000</td>\n", " <td>2010.000000</td>\n", " </tr>\n", " <tr>\n", " <th>max</th>\n", " <td>97.000000</td>\n", " <td>96.000000</td>\n", " <td>300.000000</td>\n", " <td>2011.000000</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>\n", " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-09e86c25-c96f-4f34-b93d-be85e5836696')\"\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 0 24 24\"\n", " width=\"24px\">\n", " <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n", " <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n", " </svg>\n", " </button>\n", " \n", " <style>\n", " .colab-df-container {\n", " display:flex;\n", " flex-wrap:wrap;\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", " [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-09e86c25-c96f-4f34-b93d-be85e5836696 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-09e86c25-c96f-4f34-b93d-be85e5836696');\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", " </div>\n", " " ] }, "metadata": {}, "execution_count": 6 } ] }, { "cell_type": "markdown", "source": [ "***It is ok to have summarised the dataframe, but the percentiles do not make any sense for the year. We would not like to see statistics performed on a year, like mean, median, etc.\n", "For this, we should change the data type from an integer to a category. At the same time, let's change the column name as per our needs.***" ], "metadata": { "id": "6ouopr7g0JMk" } }, { "cell_type": "code", "source": [ "#Chnging the datatype of year column as category\n", "movies.Year = movies.Year.astype('category')\n", "#changing column name\n", "movies.rename(columns = {\"Audience_Ratings\":\"AudienceRating\", \"Rotten_Tomatoes_Ratings\": \"CriticRating\", \"Budget_M\":\"Budget\"}, inplace=True)" ], "metadata": { "id": "_9oxHDo50lkM" }, "execution_count": 7, "outputs": [] }, { "cell_type": "code", "source": [ "#Let's check again\n", "movies.info()\n", "movies.describe()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 526 }, "id": "c2gIovji05uK", "outputId": "3a6c005b-2064-4ab4-c595-94ddba656c4d" }, "execution_count": 8, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 559 entries, 0 to 558\n", "Data columns (total 6 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Film 559 non-null object \n", " 1 Genre 559 non-null object \n", " 2 CriticRating 559 non-null int64 \n", " 3 AudienceRating 559 non-null int64 \n", " 4 Budget 559 non-null int64 \n", " 5 Year 559 non-null category\n", "dtypes: category(1), int64(3), object(2)\n", "memory usage: 22.7+ KB\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ " CriticRating AudienceRating Budget\n", "count 559.000000 559.000000 559.000000\n", "mean 47.309481 58.744186 50.236136\n", "std 26.413091 16.826887 48.731817\n", "min 0.000000 0.000000 0.000000\n", "25% 25.000000 47.000000 20.000000\n", "50% 46.000000 58.000000 35.000000\n", "75% 70.000000 72.000000 65.000000\n", "max 97.000000 96.000000 300.000000" ], "text/html": [ "\n", " <div id=\"df-437b5f32-02b4-4a02-a482-a5bf18334b91\">\n", " <div 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>CriticRating</th>\n", " <th>AudienceRating</th>\n", " <th>Budget</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>count</th>\n", " <td>559.000000</td>\n", " <td>559.000000</td>\n", " <td>559.000000</td>\n", " </tr>\n", " <tr>\n", " <th>mean</th>\n", " <td>47.309481</td>\n", " <td>58.744186</td>\n", " <td>50.236136</td>\n", " </tr>\n", " <tr>\n", " <th>std</th>\n", " <td>26.413091</td>\n", " <td>16.826887</td>\n", " <td>48.731817</td>\n", " </tr>\n", " <tr>\n", " <th>min</th>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " <td>0.000000</td>\n", " </tr>\n", " <tr>\n", " <th>25%</th>\n", " <td>25.000000</td>\n", " <td>47.000000</td>\n", " <td>20.000000</td>\n", " </tr>\n", " <tr>\n", " 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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-437b5f32-02b4-4a02-a482-a5bf18334b91 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-437b5f32-02b4-4a02-a482-a5bf18334b91');\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", " </div>\n", " " ] }, "metadata": {}, "execution_count": 8 } ] }, { "cell_type": "code", "source": [ "#Lets check Years\n", "movies.Year.cat.categories" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "2tSCbEyy1L5k", "outputId": "ba475e68-8889-4e73-b74a-22c4ab08cc01" }, "execution_count": 9, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Int64Index([2007, 2008, 2009, 2010, 2011], dtype='int64')" ] }, "metadata": {}, "execution_count": 9 } ] }, { "cell_type": "markdown", "source": [ "# JointPlot" ], "metadata": { "id": "knjuif0M8a9E" } }, { "cell_type": "markdown", "source": [ "***A jointplot is a plot of two variables with bivariate and univariate graphs. Let's generate the joint plot for CriticRating and AudienceRating.***" ], "metadata": { "id": "Pwl1U9fT3QrU" } }, { "cell_type": "code", "source": [ "#Joint Plot using seaborn\n", "sns.jointplot(data=movies, x='CriticRating', y='AudienceRating')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 458 }, "id": "dC5uF8F535Sj", "outputId": "c3ad55bc-51f0-484c-ee89-adaa8b8a1cbd" }, "execution_count": 10, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "<seaborn.axisgrid.JointGrid at 0x7f143ac84970>" ] }, "metadata": {}, "execution_count": 10 }, { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 432x432 with 3 Axes>" ], "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "***As seen, we generated a jointplot with functions for CriticRating and AudienceRating. The forefront plot is a scatterplot, while the other plot is a bar plot.\n", "From the above jointplot we can see that CriticRatings are almost evenly distributed over the range, but in the case of AudienceRating there are very few or no ratings below 20.***" ], "metadata": { "id": "VqYa01hs4CQT" } }, { "cell_type": "code", "source": [ "#jointplot with hex poattern\n", "sns.jointplot(data=movies, x='CriticRating', y='AudienceRating', kind='hex')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 458 }, "id": "GBofgxj87XID", "outputId": "21866b83-bc58-42c6-daf6-b4c7ba497e2c" }, "execution_count": 11, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "<seaborn.axisgrid.JointGrid at 0x7f143abb8400>" ] }, "metadata": {}, "execution_count": 11 }, { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 432x432 with 3 Axes>" ], "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "# HISTOGRAM" ], "metadata": { "id": "1gFZwvEd8xWk" } }, { "cell_type": "markdown", "source": [ "***Let's analyse the dataset using a histogram. The visualisations are more mature in Seaborn than Pyplot. In addition, the line that runs across the plot in Seaborn is an indicator.***" ], "metadata": { "id": "aPkZxWbW82Iq" } }, { "cell_type": "code", "source": [ "#histogram plot using seaborn\n", "fig = plt.figure(figsize=(10,6))\n", "sns.distplot(movies.CriticRating, bins=15, label = 'CriticRating')\n", "sns.distplot(movies.AudienceRating, bins=15, label = 'AudienceRating')\n", "fig.legend(labels=['CriticRating','AudienceRating'])\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 435 }, "id": "XXHv14G89RVD", "outputId": "4aae4bb4-e01d-47de-8e0b-3a29653d0d76" }, "execution_count": 12, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 720x432 with 1 Axes>" ], "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "code", "source": [ "#histogram using pyplot\n", "fig = plt.figure(figsize=(10,6))\n", "plt.hist(movies.CriticRating, bins=15, alpha=0.4)\n", "plt.hist(movies.AudienceRating, bins=15, alpha=0.4)\n", "fig.legend(labels=['CriticRating','AudienceRating'])\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 421 }, "id": "wPw59rt2BPA-", "outputId": "2c6089d1-156f-46d1-bce5-55cf71b267e3" }, "execution_count": 13, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 720x432 with 1 Axes>" ], "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "***We can see from the histograms of AudienceRating and CriticRating that AudienceRating has a normal distribution while CriticRating has uniformity.*** " ], "metadata": { "id": "2_zXyFPcCMCh" } }, { "cell_type": "markdown", "source": [ "***Staked Histogram.* We can plot movies based on budget, and the histogram appears as seen.**" ], "metadata": { "id": "-F_eqjoXDdpC" } }, { "cell_type": "code", "source": [ "#Staked Histogram\n", "plt.hist(movies.Budget, bins=15)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 265 }, "id": "zgfnPDtsEApt", "outputId": "5bcaeea8-2921-4c2e-b94f-e626f461f377" }, "execution_count": 14, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 432x288 with 1 Axes>" ], "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD4CAYAAAAXUaZHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAQXklEQVR4nO3df4xlZX3H8fenC2KjWMCdkg0/OkBWG9vYhUyoTZVQqQprI9IYuqRRtKSrrSQa2zSrJkqbmKAVTUwtdAkboFEERSIJ2EqpkTQp6KDruoDIgkvczbo7QkWthgp8+8c9o9dxhpm5987O3Mf3K7m55zzn3HO+z57hw7nPPffcVBWSpLb82moXIEkaPcNdkhpkuEtSgwx3SWqQ4S5JDTpitQsAWL9+fU1OTq52GZI0Vu69997vVdXEfMvWRLhPTk4yPT292mVI0lhJ8uhCyxyWkaQGGe6S1CDDXZIaZLhLUoMMd0lqkOEuSQ0y3CWpQYa7JDXIcJekBq2Jb6iuNZPbbhvp9vZe/tqRbk+SFuOZuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgxYN9yQ7khxKsruv7cYkO7vH3iQ7u/bJJD/pW3bVShYvSZrfUi6FvBb4J+D62Yaq+rPZ6SRXAE/0rf9wVW0aVYGSpOVbNNyr6q4kk/MtSxLgQuCVoy1LkjSMYcfcXwEcrKqH+tpOSfK1JF9K8oqFXphka5LpJNMzMzNDliFJ6jdsuF8E3NA3fwA4uapOB94FfDLJC+Z7YVVtr6qpqpqamJj3910lSQMaONyTHAH8KXDjbFtVPVlVj3XT9wIPAy8atkhJ0vIMc+b+x8A3q2rfbEOSiSTruulTgY3AI8OVKElarqVcCnkD8N/Ai5PsS3JJt2gLvzgkA3AWsKu7NPIzwNuq6vFRFixJWtxSrpa5aIH2N8/TdjNw8/BlSZKG4TdUJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoMMd0lqkOEuSQ0y3CWpQYa7JDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYt5QeydyQ5lGR3X9tlSfYn2dk9Nvcte3eSPUkeTPKalSpckrSwpZy5XwucO0/7R6tqU/e4HSDJS4AtwO90r/nnJOtGVawkaWkWDfequgt4fInbOx/4VFU9WVXfBvYAZw5RnyRpAMOMuV+aZFc3bHNs13YC8J2+dfZ1bb8kydYk00mmZ2ZmhihDkjTXoOF+JXAasAk4AFyx3A1U1faqmqqqqYmJiQHLkCTNZ6Bwr6qDVfV0VT0DXM3Ph172Ayf1rXpi1yZJOowGCvckG/pmLwBmr6S5FdiS5KgkpwAbgS8PV6IkabmOWGyFJDcAZwPrk+wD3g+cnWQTUMBe4K0AVXVfkpuA+4GngLdX1dMrU7okaSGLhntVXTRP8zXPsv4HgA8MU5QkaTh+Q1WSGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDVr0xmHjYHLbbatdgiStKZ65S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYtGu5JdiQ5lGR3X9s/Jvlmkl1JbklyTNc+meQnSXZ2j6tWsnhJ0vyWcuZ+LXDunLY7gN+tqpcC3wLe3bfs4ara1D3eNpoyJUnLsWi4V9VdwONz2r5QVU91s3cDJ65AbZKkAY1izP0vgM/3zZ+S5GtJvpTkFQu9KMnWJNNJpmdmZkZQhiRp1lDhnuS9wFPAJ7qmA8DJVXU68C7gk0leMN9rq2p7VU1V1dTExMQwZUiS5hg43JO8GfgT4M+rqgCq6smqeqybvhd4GHjRCOqUJC3DQOGe5Fzg74DXVdWP+9onkqzrpk8FNgKPjKJQSdLSLXpXyCQ3AGcD65PsA95P7+qYo4A7kgDc3V0ZcxbwD0l+CjwDvK2qHp93w5KkFbNouFfVRfM0X7PAujcDNw9blCRpOH5DVZIaZLhLUoMMd0lqkOEuSQ0y3CWpQYa7JDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWrQksI9yY4kh5Ls7ms7LskdSR7qno/t2pPkY0n2JNmV5IyVKl6SNL+lnrlfC5w7p20bcGdVbQTu7OYBzgM2do+twJXDlylJWo4lhXtV3QU8Pqf5fOC6bvo64PV97ddXz93AMUk2jKJYSdLSDDPmfnxVHeimvwsc302fAHynb719XZsk6TAZyQeqVVVALec1SbYmmU4yPTMzM4oyJEmdYcL94OxwS/d8qGvfD5zUt96JXdsvqKrtVTVVVVMTExNDlCFJmmuYcL8VuLibvhj4XF/7m7qrZl4GPNE3fCNJOgyOWMpKSW4AzgbWJ9kHvB+4HLgpySXAo8CF3eq3A5uBPcCPgbeMuGZJ0iKWFO5VddECi86ZZ90C3j5MUZKk4fgNVUlqkOEuSQ0y3CWpQYa7JDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhq0pPu5aziT224b6fb2Xv7akW5PUns8c5ekBhnuktQgw12SGmS4S1KDBv5ANcmLgRv7mk4F3gccA/wlMNO1v6eqbh+4QknSsg0c7lX1ILAJIMk6YD9wC/AW4KNV9eGRVChJWrZRDcucAzxcVY+OaHuSpCGMKty3ADf0zV+aZFeSHUmOne8FSbYmmU4yPTMzM98qkqQBDR3uSZ4DvA74dNd0JXAavSGbA8AV872uqrZX1VRVTU1MTAxbhiSpzyjO3M8DvlpVBwGq6mBVPV1VzwBXA2eOYB+SpGUYRbhfRN+QTJINfcsuAHaPYB+SpGUY6t4ySZ4HvAp4a1/zh5JsAgrYO2eZJOkwGCrcq+p/gRfOaXvjUBVJkobmN1QlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoMMd0lqkOEuSQ0y3CWpQYa7JDXIcJekBg31G6oASfYCPwSeBp6qqqkkxwE3ApP0fiT7wqr6n2H3JUlamlGduf9RVW2qqqlufhtwZ1VtBO7s5iVJh8lKDcucD1zXTV8HvH6F9iNJmsfQwzJAAV9IUsC/VNV24PiqOtAt/y5w/NwXJdkKbAU4+eSTR1DGr47JbbeNfJt7L3/tyLcpafWMItxfXlX7k/wmcEeSb/YvrKrqgp857duB7QBTU1O/tFySNLihh2Wqan/3fAi4BTgTOJhkA0D3fGjY/UiSlm6ocE/yvCRHz04DrwZ2A7cCF3erXQx8bpj9SJKWZ9hhmeOBW5LMbuuTVfVvSb4C3JTkEuBR4MIh9yNJWoahwr2qHgF+b572x4Bzhtm2JGlwfkNVkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoMMd0lqkOEuSQ0y3CWpQaP4JSY1YNQ/3efP9kmryzN3SWqQ4S5JDTLcJalBhrskNchwl6QGDRzuSU5K8sUk9ye5L8k7uvbLkuxPsrN7bB5duZKkpRjmUsingL+pqq8mORq4N8kd3bKPVtWHhy9PkjSIgcO9qg4AB7rpHyZ5ADhhVIVJkgY3kjH3JJPA6cA9XdOlSXYl2ZHk2FHsQ5K0dEOHe5LnAzcD76yqHwBXAqcBm+id2V+xwOu2JplOMj0zMzNsGZKkPkOFe5Ij6QX7J6rqswBVdbCqnq6qZ4CrgTPne21Vba+qqaqampiYGKYMSdIcw1wtE+Aa4IGq+khf+4a+1S4Adg9eniRpEMNcLfOHwBuBbyTZ2bW9B7goySaggL3AW4eqUJK0bMNcLfNfQOZZdPvg5UiSRsFb/mpFjMMthMehRmlQ3n5AkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIa5DdUNRZG/W1SqXWeuUtSgwx3SWqQwzLSr4iVGNryZmlrl2fuktQgw12SGuSwjDQi3h9ea4nhLq1RXv6pYTgsI0kN8sxd0prh0NborNiZe5JzkzyYZE+SbSu1H0nSL1uRM/ck64CPA68C9gFfSXJrVd2/EvuTtDr8XGDtWqlhmTOBPVX1CECSTwHnA4a7pLE2LkNHKxXuJwDf6ZvfB/x+/wpJtgJbu9kfJXlwiP2tB743xOvXilb6AfZlLWqlH7DEvuSDh6GSIeWDQx2X31powap9oFpV24Hto9hWkumqmhrFtlZTK/0A+7IWtdIPsC9LsVIfqO4HTuqbP7FrkyQdBisV7l8BNiY5JclzgC3ArSu0L0nSHCsyLFNVTyW5FPh3YB2wo6ruW4l9dUYyvLMGtNIPsC9rUSv9APuyqFTVSmxXkrSKvP2AJDXIcJekBo11uI/7LQ6S7E3yjSQ7k0x3bccluSPJQ93zsatd53yS7EhyKMnuvrZ5a0/Px7rjtCvJGatX+S9aoB+XJdnfHZedSTb3LXt3148Hk7xmdaqeX5KTknwxyf1J7kvyjq59rI7Ls/Rj7I5Lkucm+XKSr3d9+fuu/ZQk93Q139hdeEKSo7r5Pd3yyYF3XlVj+aD3Qe3DwKnAc4CvAy9Z7bqW2Ye9wPo5bR8CtnXT24APrnadC9R+FnAGsHux2oHNwOeBAC8D7lnt+hfpx2XA386z7ku6v7OjgFO6v791q92Hvvo2AGd000cD3+pqHqvj8iz9GLvj0v3bPr+bPhK4p/u3vgnY0rVfBfxVN/3XwFXd9BbgxkH3Pc5n7j+7xUFV/R8we4uDcXc+cF03fR3w+lWsZUFVdRfw+JzmhWo/H7i+eu4Gjkmy4fBU+uwW6MdCzgc+VVVPVtW3gT30/g7XhKo6UFVf7aZ/CDxA79viY3VcnqUfC1mzx6X7t/1RN3tk9yjglcBnuva5x2T2WH0GOCdJBtn3OIf7fLc4eLY/gLWogC8kube7HQPA8VV1oJv+LnD86pQ2kIVqH8djdWk3VLGjb2hsbPrRvZ0/nd6Z4tgelzn9gDE8LknWJdkJHALuoPfO4vtV9VS3Sn+9P+tLt/wJ4IWD7Hecw70FL6+qM4DzgLcnOat/YfXem43ltarjXDtwJXAasAk4AFyxuuUsT5LnAzcD76yqH/QvG6fjMk8/xvK4VNXTVbWJ3jf1zwR++3Dsd5zDfexvcVBV+7vnQ8At9A78wdm3xt3zodWrcNkWqn2sjlVVHez+g3wGuJqfv8Vf8/1IciS9QPxEVX22ax674zJfP8b5uABU1feBLwJ/QG8IbPZLpP31/qwv3fLfAB4bZH/jHO5jfYuDJM9LcvTsNPBqYDe9PlzcrXYx8LnVqXAgC9V+K/Cm7uqMlwFP9A0TrDlzxp0voHdcoNePLd0VDacAG4EvH+76FtKNzV4DPFBVH+lbNFbHZaF+jONxSTKR5Jhu+tfp/cbFA/RC/g3danOPyeyxegPwn927reVb7U+Th/wkejO9T9IfBt672vUss/ZT6X3C/3Xgvtn66Y2v3Qk8BPwHcNxq17pA/TfQe2v8U3pjhpcsVDu9KwY+3h2nbwBTq13/Iv34167OXd1/bBv61n9v148HgfNWu/45fXk5vSGXXcDO7rF53I7Ls/Rj7I4L8FLga13Nu4H3de2n0vsf0B7g08BRXftzu/k93fJTB923tx+QpAaN87CMJGkBhrskNchwl6QGGe6S1CDDXZIaZLhLUoMMd0lq0P8D6a+YxXwD8awAAAAASUVORK5CYII=\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "If we want to plot based on Genre, then we can specify a Genre." ], "metadata": { "id": "cR0t4aaWEMsN" } }, { "cell_type": "code", "source": [ "#Staked Histogram for different Genre\n", "plt.hist(movies[movies.Genre=='Action'].Budget)\n", "plt.hist(movies[movies.Genre=='Drama'].Budget)\n", "plt.hist(movies[movies.Genre=='Thriller'].Budget)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 265 }, "id": "HnhkcCedEh1h", "outputId": "13765754-b607-4620-b2f7-310c21cc0c4f" }, "execution_count": 15, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 432x288 with 1 Axes>" ], "image/png": "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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "***These are not stacked yet, but if we want a stacked histogram, we must pull all the criteria into a single line and mention it. stacked = True***" ], "metadata": { "id": "fI0rjGVZFEZQ" } }, { "cell_type": "code", "source": [ "#Staked Histogram \n", "plt.hist([movies[movies.Genre=='Action'].Budget, movies[movies.Genre=='Drama'].Budget,movies[movies.Genre=='Thriller'].Budget], bins=15, stacked = True)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 421 }, "id": "tYnJM4CvFYTQ", "outputId": "d5da8511-0dfc-4ba1-bb1a-71c3ac2824df" }, "execution_count": 16, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "(array([[ 9., 39., 24., 13., 16., 9., 8., 14., 5., 4., 8., 2., 2.,\n", " 0., 1.],\n", " [48., 80., 35., 19., 18., 10., 8., 15., 5., 4., 8., 2., 2.,\n", " 0., 1.],\n", " [52., 94., 39., 24., 20., 14., 9., 16., 5., 5., 8., 2., 2.,\n", " 0., 1.]]),\n", " array([ 0., 20., 40., 60., 80., 100., 120., 140., 160., 180., 200.,\n", " 220., 240., 260., 280., 300.]),\n", " <a list of 3 Lists of Patches objects>)" ] }, "metadata": {}, "execution_count": 16 }, { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 432x288 with 1 Axes>" ], "image/png": "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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "***We can convert genres into categories and use them to simplify our programming.***" ], "metadata": { "id": "40qMXSOLHYzd" } }, { "cell_type": "code", "source": [ "#changing the datatype \n", "movies.Genre = movies.Genre.astype('category')\n", "movies.info()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "O0LjdWFsHudU", "outputId": "f659364d-84ca-41b9-c945-246792a4177a" }, "execution_count": 17, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "<class 'pandas.core.frame.DataFrame'>\n", "RangeIndex: 559 entries, 0 to 558\n", "Data columns (total 6 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Film 559 non-null object \n", " 1 Genre 559 non-null category\n", " 2 CriticRating 559 non-null int64 \n", " 3 AudienceRating 559 non-null int64 \n", " 4 Budget 559 non-null int64 \n", " 5 Year 559 non-null category\n", "dtypes: category(2), int64(3), object(1)\n", "memory usage: 19.2+ KB\n" ] } ] }, { "cell_type": "code", "source": [ "#Lets check the Genres\n", "movies.Genre.cat.categories" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "MEMY2n-wIJuU", "outputId": "7ca0fb09-e457-45db-d807-3342e23ff312" }, "execution_count": 18, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Index(['Action', 'Adventure', 'Comedy', 'Drama', 'Horror', 'Romance',\n", " 'Thriller'],\n", " dtype='object')" ] }, "metadata": {}, "execution_count": 18 } ] }, { "cell_type": "markdown", "source": [ "***Let's analyse the genre using a stacked histogram. We created an array list, assigned the category variable \"Genre\" to \"gen,\" and used it within the loop.We used an append function in the list so that all the lists are added up. We created a histogram using the defined list. We used rwidth = 1, which means that there is no gap between the bars and 100% space is used.\n", "And for legend we created empty list as mylables. used this list and appended genres. used mylabel in the histogram function and used plt.legend to show the legend. Thus, our staked histogram is now complete.***" ], "metadata": { "id": "Qgt1qeErIvDs" } }, { "cell_type": "code", "source": [ "#Staked Histogram using our own function\n", "list1 = list()\n", "mylabels=list()\n", "for gen in movies.Genre.cat.categories:\n", " list1.append(movies[movies.Genre == gen].Budget)\n", " mylabels.append(gen)\n", "\n", "plt.hist(list1, bins=15, stacked = True, label=mylabels)\n", "plt.legend()\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 265 }, "id": "0uExk74YJ_wc", "outputId": "6fa8b3d6-40d5-4820-e7b0-190106c0f702" }, "execution_count": 19, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 432x288 with 1 Axes>" ], "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "**As we can see, the genre in blue, i.e. action, has the highest budget, followed by adventure. **" ], "metadata": { "id": "O7NJ7UVEKh6K" } }, { "cell_type": "markdown", "source": [ "# **VIOLIN PLOT VS BOX PLOT**" ], "metadata": { "id": "sjYGjGXGM05S" } }, { "cell_type": "markdown", "source": [ "***A violin plot is a method of plotting numeric data. It is similar to a box plot with a rotated kernel density plot on each side. The violin plot is similar to box plots, except that they also show the probability density of the data at different values. Seaborn can be used to plot both.\n", "In a box plot, the width is uniform, while in a violin plot, the width varies based on distribution. The width tells us the number of points falling in the region. This can't be seen in a box plot but can be known from a violin plot. Also, box plot distribute data into quartiles, so the bottom line till the box is the first quartile, the base of the box to the median line is the second quartile, the median line till the higher end of the box is the third quartile, and the end of the box till the last line of the plot is the fourth quartile. Each quartile has the same number of observations. Violin plots can show concentrations of points better than box plots.***" ], "metadata": { "id": "D-GHXCuSM6kZ" } }, { "cell_type": "code", "source": [ "#boxplot for CriticRating\n", "sns.boxplot(data = movies, x = 'Genre', y = 'CriticRating')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 297 }, "id": "sUAdEJl5NPbi", "outputId": "9590cb9b-ce9c-4002-8439-336f9088b009" }, "execution_count": 20, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "<matplotlib.axes._subplots.AxesSubplot at 0x7f1435a24a90>" ] }, "metadata": {}, "execution_count": 20 }, { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 432x288 with 1 Axes>" ], "image/png": 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1bE4KZmY1Gkt1Uq5TMDOznI8URplHd4zn8q4pNZezaWeW72dM3ltzWY/uGM8rai7FzFqBk8IoUs/zkrvStfITZ9d+rfwr8HXyZu3CSWEUGUvnJc2sNblOwczMck4KZmaWc1IwM7PcmKtTGLfzKSY+eEfN5ei5pwGIifvXXNa4nU8Bh9ZcjplZo42ppFDPK2TWresFYO6R9diYH+qrd8ysJYyppOCrd8zMauM6BTMzy42pIwWzdtXT08P2nb0sfmhR0aH0s23nZqLn2aLDsCr4SMHMzHI+UjAbAzo6OtAfn+Tko84qOpR+Fj+0iJkd9eqt2prBRwpmZpZzUjAzs5yTgpmZ5VynYPW1DcYtqcO+xo70XHvXErANmFmHcszaQNOTgqTDgK8DM4AArouIayQdBNwCzAbWA2dGxNZmx2cjV987yrP+IObOrL0/CGa6PwizShVxpLAbuDgilkvaD1gm6WfAucBdEXGFpEuAS4CPFxCfjZDvKDdrfU2vU4iIJyJieRruBdaSHdyfCixMky0ETmt2bGZm7a7QimZJs4FXA/cCMyLiifTWRrLTS2Zm1kSFVTRLmgJ8D7goIp6WlL8XESEphpjvfOB8gFmzZjUjVDNrgt5du1m6qfZqxJ279wAwecL4msvq3bW75jJaTSFJQdJLyBLCzRHx/TR6k6SXRcQTkl4GbB5s3oi4DrgOoLOzc9DEYWatpREXKRw+tw4XKdB+FykUcfWRgBuAtRHxlZK3bgfmAVek59uaHZuZFcMXKYweRRwpnAi8F1gtaWUa99/JksG3JZ0HbADOLCA2M7O21vSkEBG/ADTE229pZixmZtafm7kwM7Ock4KZmeWcFMzMLOekYGZmOScFMzPLOSmYmVnOScHMzHJOCmZmlnNSMDOznJOCmZnlnBTMzCznpGBmZrnCOtkxs/ratnMzix9aVHM5O57LOrqZMvHAmsvatnMzMzm45nLGggULFtDd3V12ur7+ICppTnzOnDl1bXYcnBTMxoT6dlLzFAAzj6x9Yz6Tg9uuk5paTZo0qdDlOymYjQHupGb0q/cefaO4TsHMzHJOCmZmlvPpoxZT78qqRlRUmVnrclIYo4qurDKz1uSk0GK8V29mjeQ6BTMzyzkpmJlZzknBzMxyTgpmZpZzUjAzs5yvPjKrQiX3iRTdoJlZLZwUzOrM94hYK2u7pNAqzdfa6OTv2ca6tksKlfLenpm1o7ZLCt7TMzMbmq8+MjOznJOCmZnlRlVSkHSKpIcldUu6pOh4zMzazaipU5A0HvgX4G1AD3CfpNsj4sFiI7N6cn8QZqPbaDpSOB7ojohHImIXsAg4teCYrCCTJk3yFWBmBRg1RwrATOCxktc9wF8UFIs1iPfqi9Xqd2S3evytYDQlhYpIOh84H2DWrFkFR2M29rT6EVqrx180RUTRMQAg6XXAJyPiv6TXnwCIiM8PNU9nZ2d0dXU1KUIzs7FB0rKI6BzsvdFUp3AfMFfSEZL2Ac4Cbi84JjOztjJqTh9FxG5JHwHuBMYDX4uINQWHZWbWVkZNUgCIiB8DPy46DjOzdjWaTh+ZmVnBnBTMzCznpGBmZjknBTMzyzkpmJlZbtTcvDYSkrYAGxq4iGnAHxpYfqM5/uK0cuzg+IvW6PgPj4jpg73R0kmh0SR1DXXXXytw/MVp5djB8RetyPh9+sjMzHJOCmZmlnNSGN51RQdQI8dfnFaOHRx/0QqL33UKZmaW85GCmZnl2iIpSDpNUkg6qsx0F0maXPL6x5KmFhWXpCWS6noFQlrm0fUsc0D5h0paJOl3kpaldfiKRi1vwLLXS5pWx/L2SFopaY2k+yVdLKml/jOSdgx4fa6krxYVz0Al6/gBST9s5P+tGSQdnD7PSkkbJT2ehrdJqqi/eUkflPS+NHyTpDPScN23B4NpqR94Dc4GfpGeh3MRkCeFiPiriNg2CuKqp9OAqpKCpIpa05Uk4FZgSUQcGRHHAZ8AZlQd5ejwbEQcGxF/BrwNeDtw2cCJKl0/rWjgZ6vit1DpOulbx8cATwEfrjLEUSUinkyf51jgWuCqNHwssLfc/JImRMS1EfH1WmORNH4k8435pCBpCvAG4DyyjnuQNF7Sl9PeySpJF0iaD/wJsFjS4jRdvucp6aNp+gckXZTGzZa0VtK/p73Jn0qqqC/AIeKalPay10q6FZiUxn9Q0pdK5s339iT9vaSlaW/kf/f9ECTtkPTZtIf7G0kzJL0eeCfwpTT9kaV7H5KmSVpfsozbJd0N3CVpX0lfS8taIenUQT7WycDzEXFt34iIuB/4haQvpXW3WtLfpWWcJOkeSbdJekTSFZLOSctYLenINN10Sd+TdF96nJjGH5zW+RpJ1wNK4z/d9x2l15+VdGEl38tQImIzWTewH1Fm4PqZIukuSctT7KemZc+W9FDa4/utpJslvVXSLyWtk3R8mu54Sb9O6/ZXkl5ZS7yVSLHdnf4Dd0malcbfJOlaSfcCXxzk9bHpN7VK0q2SDkzzLZF0taQuYCTr+9dkfbVTZhlXSepK/5PXSvp+WpeXl3y2Hyg7Ul2jrAvfvvEv+l+k8TPScu5Pj9en8YP+v0ZovAbZVgxcb5I+KemfhytI0l+m38tySd9Rtj3p22Z9QdJy4N0jijIixvQDOAe4IQ3/CjgO+BDwXWBCGn9Qel4PTCuZdz3ZnYXHAauBfYEpwBrg1cBsYDdwbJr+28Df1xDXR8k6FwJ4VSq7E5gOdJfM+x9kCeVPgR8CL0nj/xV4XxoO4G/S8BeBS9PwTcAZJWUtATrT8DRgfRo+F+gpWTef6/tswFTgt8C+Az7TfLI9o4Gf9W+Bn5F1njQDeBR4GXASsC0NvxR4HPhUmudC4Oo0/E3gDWl4FrA2DS8A/mca/uv0mael72V5Gj8O+B1w8Ah+OzsGGbctfYaB62cCsH/JeuwmS1J9v5E/T7EsA76W3jsV+EGaZ39e+D2+FfhenX7/e4CVJY9Hga+m934IzEvD/1ASy03AHcD4IV6vAv5zGv50yfe0BPjXkazj9Nv4DnBKBcv4Qslv5P+V/H56+r7nku9lEvBAyfih/he3ABeVxHIAw/y/KvxsnwT+OQ33/Q5etK0YuN4GzHcT6f+aputMv6+fk/5/wMd54X+wHvhYLb+ZMXvYW+Js4Jo0vCi9PgK4NiJ2A0TEU2XKeANwa0Q8AyDp+8AbyboL/X1ErEzTLSP78kca1xyyDR0RsUrSqjS8Je1JnwCsA44Cfkl2qH0ccJ8kyP4Am1OZu8j+yH1xva3CuEr9rGTd/CXwzpI9mImkDXQF5bwB+FZE7AE2SboHeC3wNHBfRDwBIOl3wE/TPKvJjjwg20genT4jwP5pz+hNwLsAIuJHkram4fWSnpT0arIN+IqIeLL6j19W6foR8DlJbyI7TTCTF06b/T4iVqfPuAa4KyJC0mpe+L0cACyUNJdsw/WSOsX4bGSnL0jLP5dswwLwOtL6A75BtpHs8530ffV7LekAYGpE3JPGLyTbmPe5pcr4JklaSba+1gI/q2AZfd30rgbWlPx+HgEOA54E5ks6PU13GDA3jR/qf/Fm4H0A6XNvl/Rehv5/jcRw24pq1tsJZKeAf5ni2ofsKGskZb3ImE4Kkg4i+7L/XFKQ7QEEWX/Q9fLHkuE9pFM+I4xrxTCzLQLOBB4iS1Ch7BexMCI+Mcj0z0fadUhxDfVd7+aF04gTB7z3TGnYwN9GxMPDxLgGOGOY9wdTuv72lrzeywsxjwNOiIjnSmcsSRKDuZ5sb/5Qsj3zmkl6Odm67NswlK6fc8iO6I6LiOeVnYbrW5+VfMbPAIsj4nRJs8n2Cov0TJnXlc5XzrMRcayyCzzuJNvRWVhmntL1N3DdTpB0EtmOxOsiYqekJbzwXVT6v4DsNz/U/2skhttWVLPeRLZDMlRdZLXfQT9jvU7hDOAbEXF4RMyOiMOA3wP3Ax9QqgxLG2mAXmC/Qcr5v8BpkiZL2hc4PY2rd1zLgPekmI4hO4XU51ay0w1nkyUIgLuAMyQd0vc5JB1eZtkDP+N6sr2hvriGcidwQUpEpL3wge4GXjrgHO6ryE65/J2yupzpZHv4S8vEWeqnwAUlZfbt+f6cF9bX24EDS+a5FTiF7IjkziqWNagU97Vkp14Gu7nnAGBzSggnA+W+h8HmfzwNnzviQKvzK1J9FllSK/ubjojtwFZJb0yj3gvcM8wsFYmInWSnHy8m26jVsowDgK0pIRxFtmddzl1kp5X76hwPYGT/r2b4DXCipDkAyur76naF31hPCmeTbRxKfY/sHOSjwCpJ95M2LGR3Ef5EqaK5T0QsJzu3txS4F7g+Iobbqx9pXEcAUyStJTuPuqwkhq1kh9eHR8TSNO5B4FLgp+lU08/SZxvOIuC/KavQPBL4MvAhSSvIzlUO5TNkpzRWpVMgnxk4QdpYng68VdklqWuAz5PVCawiS8Z3k53z3FgmzlLzgc5U6fgg8ME0/lPAm9Jy3kX2nfbFsgtYDHx7wGmQakxKFYxrgP9Dlpw+NcS0N6cYV5OdhnioymV9Efh8+h6adQR/AfD+9Nt5L5VXDs8ju1hhFdlVNZ+uRzDpP7WK7P9RyzJ+QnbEsBa4gmwjWs6FwMnp+1sGHD3C/1fDRcQWsh2Hb6W4fk12SrkufEezjUnK7idYDrw7ItYVHY9ZqxjrRwrWhpTdnNdNVqHrhGBWBR8pmJlZzkcKZmaWc1IwM7Ock4KZmeWcFMzKSO3ifDPdVb4stTlzevk5zVqPk4LZMNLNej8Afh4RL4+s5dezgI46lF1L42pmDeGkYDa8NwO7on/Lrxsi4n+lO1+/pKzl1lWSPgB5669LJH1XWQupN5fcCd6vFUsN0dqlWVGcFMyG92dkN8EN5jxge0S8lqw5jX+SdER679Vk/XMcDbwcOLFkvicj4jVkd0lfCrw1ve4iaynXrDBjukE8s3qT9C9krb7uAjYAr1LqGYuszZ256b2lEdGT5llJ1iLmL9J0fa1Ylmvt0qzpnBTMhreGrD8IACLiw8o6Xuoia2vpgojo1+BeaqVzYIuYpf+1vlYsy7V2adZ0Pn1kNry7gYmSPlQyrq/L1jvJGhN8CYCkV6RWdCvV0NYuzUbCRwpmw0j9VpwGXCXpY8AWsj39j5N1/DIbWJ4qkreQ9YFdadlbUqc335L00jT6UrJe7cwK4baPzMws59NHZmaWc1IwM7Ock4KZmeWcFMzMLOekYGZmOScFMzPLOSmYmVnOScHMzHL/H599cyq4S1kyAAAAAElFTkSuQmCC\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "code", "source": [ "#boxplot for AudienceRating\n", "sns.boxplot(data = movies, x = 'Genre', y = 'AudienceRating')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 299 }, "id": "x58G35cKNXry", "outputId": "67dfccb7-ffc4-4258-d14e-a3f58d799e8e" }, "execution_count": 21, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "<matplotlib.axes._subplots.AxesSubplot at 0x7f14357acd30>" ] }, "metadata": {}, "execution_count": 21 }, { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 432x288 with 1 Axes>" ], "image/png": 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WsHwC8E1gqqRCw3db2tbzRMQlEdERER0zZsyoIAwzM+tryKQQERsj4uyImBkR+0bEOyq5uzkiPhkRbRHRDpwJ3BQRZwM3k/XACtAJXDXSbZiZ2cgMeEmqpI9FxJckXUTW19FuIqLa92x/HLhM0iLgduDSKq/fbFTbsu0xbr7nsorX8+QzmwGYMmHvite1ZdtjzKJ6w3GW06lc3h3KNbvB7lMotBt012rjEbEMWJam7weOqdW2zEaz6g5w9DgAsw6u/GA+i2l1H+Ao7w7lmt2ASSEirkn/u+oXjpmNRKsMcOSz+tobrProGvqpNiqIiDfVJCIzM8vNYNVHX0n/3wLsB/zf9PgssrEVzMxslBnw6qOIuCUibgGOjYi3R8Q16e/vgb+tX4hmZq3jvvvuY968eWWN0lYL5dynMFnSiwsPUsd1k2sXkplZ61q0aBFPPfUUF154YS7bL6fr7H8gG0/hfrKhOA8E3lfTqMzMWtB9993HunXrAFi3bh09PT11v3qrnJvXfgnMJevV9DyyoTmvr3VgZmatZtGiRbs9zqO0MGRJQdK7+sw6UhIR8f0axWRm1pIKpYSBHtdDOdVHryiZngCcCKwAnBTMzKqovb19t0TQ3t5e9xjKqT5aUPL3XuBlwJTah2Zm1loWLly42+NPf/rTdY+hrPEU+ngKePGQS5mZ2bAccsghxdJBe3t73RuZobzhOK+RdHX6+wVwL/Cz2odmZtZ6Fi5cyOTJk3MpJUB5bQpfKZneCYwF3l6bcGwo5fQSCeX3FOleIs0ayyGHHMKSJUty2345bQq3AH8BTgF+AHyWCkZes/qYOHGie4s0a0IbN25kwYIFbNo04mFrKjJYh3iHkPVzdBawEfgxoIg4vk6xWT98Vm82unV1dbFq1Sq6urr48Ic/XPftD1ZSuIdsqMxTIuI1EXER8Gx9wjIzaz0bN25kyZIlRARLlizJpbQwWFJ4C/AIcLOk/5B0Ilk3F2ZmVgNdXV1EZCMW7Nq1i66u+g9nM1gvqT+PiDOBw8jGT74A2FfStyWdXK8AzcxaxdKlS9mxYwcAO3bs4IYbbqh7DENefRQRTwE/BH4oaW/gbWTjKdc/Wmt6vnrKbGAnnXQS1113HTt27GD8+PGcfHL9z7+HdfNaRGyOiEsi4sRaBWQGvnrKWlNnZydSVks/ZswYOjs76x5DOfcpmFWNz+rNBjZ9+nTmzZvH1Vdfzbx585g2bVrdY3BSMDNrIJ2dnaxbty6XUgI4KZiZNZTp06dz0UUX5bb9kXSIZ2ZmNZL3Hc1OCmZmDaT0juY8OCmYmTWIRr+j2czM6qih72g2M7P6aoQ7mp0UzMwaxEknncT48eMBmuOOZjMzq51GuKPZScHMrEEU7miW5Duazaz2yumQsNzOCMEdEtZC3nc0172kIOkASTdLulvSaknnp/n7SFoqaW36v3e9YzMzd0aYt8IdzXmUEiCfksJO4CMRsULSnsBySUuBc4AbI+ILkj4BfIKsi24zqxKf1dtQ6l5SiIhHImJFmt4KrAFmAacChYtyu4DT6h2bmVmry7VNQVI7cDRwKzAzIh5JT60HZuYUltmAXCdvo11uSUHSFOAK4IKI+EvhMiyAiAhJMcDr5gPzAWbPnl2PUM2GxfXx1sxUuKW6rhuVxgPXAtdHxNfSvHuB4yLiEUn7A8si4tDB1tPR0RHd3d3D2vZwh4OcO3fukMv6bM/Mmomk5RHR0d9zeVx9JOBSYE0hISRXA4VrsDqBq+odWylfgWFmrajuJQVJrwF+DdwJ7EqzP0XWrvATYDbwAHBGRDw+2LpGUlIwM2t1g5UU6t6mEBG/ATTA0yfWMxYzM9udu7kwM7MiJwUzMytyUjAzsyInBTMzK3JSMDOzIicFMzMrclIwM7MiJwUzMytyUjAzsyInBTMzK3JSMDOzIicFMzMrclIwM7MiJwUzMytyUjAzsyInBTMzK3JSMDOzIicFMzMrclIwM7MiJwUzMytyUjAzsyInBTMzK3JSMDOzIicFMzMrclIwM7MiJwUzMytyUjAzsyInBTMzK3JSMDOzIicFMzMrclIwM7MiJwUzMytqqKQg6fWS7pXUI+kTecdj1oo2btzIggUL2LRpU96hjEizx5+3hkkKksYC/wbMAw4HzpJ0eL5RmbWerq4uVq1aRVdXV96hjEizx5+3hkkKwDFAT0TcHxHbgcuAU3OOyaylbNy4kSVLlhARLFmypOnOtps9/kbQSElhFvBQyePeNM/M6qSrq4uIAGDXrl1Nd7bd7PE3gkZKCmWRNF9St6TuDRs25B2O2aiydOlSduzYAcCOHTu44YYbco5oeJo9/kbQSEnhYeCAksdtad5uIuKSiOiIiI4ZM2bULTizVnDSSScxfvx4AMaPH8/JJ5+cc0TD0+zxN4JGSgp/BOZKOkjSHsCZwNU5x2TWUjo7O5EEwJgxY+js7Mw5ouFp9vgbQcMkhYjYCXwIuB5YA/wkIlbnG5VZa5k+fTrz5s1DEvPmzWPatGl5hzQszR5/IxiXdwClIuI64Lq84zBrZZ2dnaxbt65pz7KbPf68qdBS34w6Ojqiu7s77zDMzJqKpOUR0dHfcw1TfWRmZvlzUjAzsyInBTMzK3JSMDOzoqZuaJa0AXighpuYDmys4fprzfHnp5ljB8eft1rHf2BE9Hv3b1MnhVqT1D1QC30zcPz5aebYwfHnLc/4XX1kZmZFTgpmZlbkpDC4S/IOoEKOPz/NHDs4/rzlFr/bFMzMrMglBTMzK2qJpCDpNEkh6bAhlrtA0qSSx9dJmppXXJKWSarqFQhpmzUb+1rSfpIuk/QnScvTPjykVtvrs+11kqZXcX3PSlopabWkOyR9RFJT/WYkPdnn8TmS/jWvePoq2cd3Sbqmlr+3epA0Lb2flZLWS3o4TW+RdHeZ63i/pHel6e9JOj1NV/140J+m+oJX4CzgN+n/YC4AikkhIt4QEVsaIK5qOg0YVlKQVFZvuso6sr8SWBYRB0fEy4FPAjOHHWVjeDoijoqIlwAnAfOAz/RdqNz904z6vrdhfBfK3SeFffxS4HHgg8MMsaFExKb0fo4CLga+nqaPAnYN9XpJ4yLi4oj4fqWxSBo7kteN+qQgaQrwGuBcsoF7kDRW0lfS2ckqSQsknQe8CLhZ0s1pueKZp6QPp+XvknRBmtcuaY2k/0hnkzdImlhBXBPTWfYaSVcCE9P890v6cslri2d7kt4h6bZ0NvLvhS+CpCclfT6d4f5B0kxJrwbeBHw5LX9w6dmHpOmS1pVs42pJNwE3Spos6btpW7dLOrWft3U8sCMiLi7MiIg7gN9I+nLad3dKenvaxnGSbpF0laT7JX1B0tlpG3dKOjgtN0PSFZL+mP6OTfOnpX2+WtJ3AKX5FxY+o/T485LOL+dzGUhEPAbMBz6kTN/9M0XSjZJWpNhPTdtul3RPOuO7T9IPJL1O0m8lrZV0TFruGEm/T/v2d5IOrSTecqTYbkq/gRslzU7zvyfpYkm3Al/q5/FR6Tu1StKVkvZOr1sm6RuSuoGR7O/fk8ZlH2IbX1c2JO8aSa+Q9LO0LxeVvLefKyuprpY0v2T+834Xaf7MtJ070t+r0/x+f18jNFb9HCv67jdJ/yTpo4OtSNLJ6fuyQtJPlR1PCsesL0paAbxtRFFGxKj+A84GLk3TvwNeDnwAuBwYl+bvk/6vA6aXvHYd2Z2FLwfuBCYDU4DVwNFAO7ATOCot/xPgHRXE9WHgu2neEWndHcAMoKfktUvIEsr/AK4Bxqf53wLelaYD+Ls0/SVgYZr+HnB6ybqWAR1pejqwLk2fA/SW7Jt/Lrw3YCpwHzC5z3s6j+zMqO97fSuwFBhLVmp4ENgfOA7YkqZfQDb86mfTa84HvpGmfwi8Jk3PBtak6cXAp9P0G9N7np4+lxVp/hjgT8C0EXx3nuxn3pb0Hvrun3HAC0v2Yw9Zkip8R/4mxbIc+G567lTg5+k1L+S57+PrgCuq9P1/FlhZ8vcg8K/puWuAzjT9npJYvgdcC4wd4PEq4H+m6QtLPqdlwLdGso/Td+OnwOvL2MYXS74j/6/k+9Nb+JxLPpeJwF0l8wf6XfwYuKAklr0Y5PdV5nv7J+CjabrwPXjesaLvfuvzuu+Rfq9puY70/foV6fcHfJznfgfrgI9V8p0ZtcXeEmcB30zTl6XHBwEXRzbaGxHx+BDreA1wZUQ8BSDpZ8Dfkg0X+ueIWJmWW0724Y80rjlkBzoiYpWkVWl6QzqTfiWwFjgM+C1ZUfvlwB+VDUE4EXgsrXM72Q+5ENdJZcZVamnJvjkZeFPJGcwE0gG6jPW8BvhRRDwLPCrpFuAVwF+AP0bEIwCS/gQURlq/k6zkAdlB8vD0HgFemM6MXgu8BSAifiFpc5peJ2mTpKPJDuC3R8Sm4b/9IZXuHwH/LOm1ZNUEs3iu2uzPEXFneo+rgRsjIiTdyXPfl72ALklzyQ5c46sU49ORVV+Qtn8O2YEF4FWk/Qf8F9lBsuCn6fPa7bGkvYCpEXFLmt9FdjAv+PEw45soaSXZ/loDLC1jG4Vheu8EVpd8f+4nG+d9E3CepDen5Q4A5qb5A/0uTgDeBZDe9xOS3snAv6+RGOxYMZz99kqyKuDfprj2ICtljWRdzzOqk4Kkfcg+7L+RFGRnAEE2HnS1/LVk+llSlc8I47p9kJddBpwB3EOWoELZN6IrIj7Zz/I7Ip06pLgG+qx38lw14oQ+zz1VGjbw1oi4d5AYVwOnD/J8f0r3366Sx7t4LuYxwCsj4pnSF5Ykif58h+xsfj+yM/OKSXox2b4sHBhK98/ZZCW6l0fEDmXVcIX9Wc57/Bxwc0S8WVI72Vlhnp4a4nG5rxvK0xFxlLILPK4nO9HpGuI1pfuv774dJ+k4shOJV0XENknLeO6zKPd3Adl3fqDf10gMdqwYzn4T2QnJQG2Rw/0MdjPa2xROB/4rIg6MiPaIOAD4M3AH8D6lxrB0kAbYCuzZz3p+DZwmaZKkycCb07xqx7Uc+PsU00vJqpAKriSrbjiLLEEA3AicLmnfwvuQdOAQ2+77HteRnQ0V4hrI9cCClIhIZ+F93QS8oE8d7hFkVS5vV9aWM4PsDP+2IeIsdQOwoGSdhTPfX/Hc/poH7F3ymiuB15OVSK4fxrb6leK+mKzqpb+be/YCHksJ4XhgqM+hv9c/nKbPGXGgw/M7UnsWWVIb8jsdEU8AmyX9bZr1TuCWQV5SlojYRlb9+BGyg1ol29gL2JwSwmFkZ9ZDuZGsWrnQ5rgXI/t91cMfgGMlzQFQ1t5XtSv8RntSOIvs4FDqCrI6yAeBVZLuIB1YyO4i/KVSQ3NBRKwgq9u7DbgV+E5EDHZWP9K4DgKmSFpDVo+6vCSGzWTF6wMj4rY0725gIXBDqmpamt7bYC4D/lFZg+bBwFeAD0i6nayuciCfI6vSWJWqQD7Xd4F0sHwz8Dpll6SuBv6FrE1gFVkyvomsznP9EHGWOg/oSI2OdwPvT/M/C7w2bectZJ9pIZbtwM3AT/pUgwzHxNTAuBr4b7Lk9NkBlv1BivFOsmqIe4a5rS8B/5I+h3qV4BcA707fnXdSfuNwJ9nFCqvIrqq5sBrBpN/UKrLfRyXb+CVZiWEN8AWyg+hQzgeOT5/fcuDwEf6+ai4iNpCdOPwoxfV7sirlqvAdzTYqKbufYAXwtohYm3c8Zs1itJcUrAUpuzmvh6xB1wnBbBhcUjAzsyKXFMzMrMhJwczMipwUzMysyEnBbAipX5wfprvKl6c+Z9489CvNmo+Tgtkg0s16Pwd+FREvjqzn1zOBtiqsu5LO1cxqwknBbHAnANtj955fH4iIi9Kdr19W1nPrKknvg2Lvr8skXa6sh9QflNwJvlsvlhqgt0uzvDgpmA3uJWQ3wfXnXOCJiHgFWXca75V0UHruaLLxOQ4HXgwcW/K6TRHxMrK7pBcCr0uPu8l6yjXLzajuEM+s2iT9G1mvr9uBB4AjlEbGIutzZ2567raI6E2vWUnWI+Zv0nKFXiyH6u3SrO6cFMwGt5psPAgAIuKDygZe6ibra2lBROzW4V7qpbNvj5ilv7VCL5ZD9XZpVneuPjIb3E3ABEkfKJlXGLL1erLOBMcDSIH3lsAAAAB4SURBVDok9aJbrpr2dmk2Ei4pmA0ijVtxGvB1SR8DNpCd6X+cbOCXdmBFakjeQDYGdrnr3pAGvfmRpBek2QvJRrUzy4X7PjIzsyJXH5mZWZGTgpmZFTkpmJlZkZOCmZkVOSmYmVmRk4KZmRU5KZiZWZGTgpmZFf1/vdwVyXfg2WgAAAAASUVORK5CYII=\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "***According to the first box plot, horror films received less CriticRating, whereas thriller films received high CriticRating.\n", "In the second box plot, we can see that there are some outliers present for some genres. Horror films received a lower AudienceRating, whereas thriller films received a higher AudienceRating.***" ], "metadata": { "id": "_0GyBPV6Nafk" } }, { "cell_type": "code", "source": [ "#violinplot for CriticRating\n", "sns.violinplot(data = movies, x = 'Genre', y = 'CriticRating')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 296 }, "id": "SVrl1Ey_Nrrd", "outputId": "b3ccdeec-642c-4f0e-f1e8-8096396c0cd1" }, "execution_count": 22, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "<matplotlib.axes._subplots.AxesSubplot at 0x7f14356db760>" ] }, "metadata": {}, "execution_count": 22 }, { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 432x288 with 1 Axes>" ], "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "code", "source": [ "#violinplot for AudienceRating\n", "sns.violinplot(data = movies, x = 'Genre', y = 'AudienceRating')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 296 }, "id": "9C_V5P5IN2T6", "outputId": "fbaa1813-52cf-4a63-ec95-40ecda39fff7" }, "execution_count": 23, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "<matplotlib.axes._subplots.AxesSubplot at 0x7f14356169a0>" ] }, "metadata": {}, "execution_count": 23 }, { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 432x288 with 1 Axes>" ], "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "# **Facet Grid**" ], "metadata": { "id": "iFvyiaT_OIH9" } }, { "cell_type": "markdown", "source": [ "***Facet Grid gives a series of plots in the grid. This is different from subplots, as we get a similar kind of plot all across the grid. We use the function sns.FacetGrid. Then use the map function and specify the plot type and the parameters.***" ], "metadata": { "id": "cbsR5cOgOLVZ" } }, { "cell_type": "code", "source": [ "#Facet Grid \n", "c = sns.FacetGrid(movies, row= 'Genre', col = 'Year', hue = 'Genre')\n", "c = c.map(plt.scatter, 'CriticRating', 'AudienceRating')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "ZAZsiP37OPPK", "outputId": "f8f4c96c-822a-4657-a24f-aee4140dfc9f" }, "execution_count": 24, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "<Figure size 1080x1512 with 35 Axes>" ], "image/png": 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\n" }, "metadata": { "needs_background": "light" } } ] }, { "cell_type": "markdown", "source": [ "***As we can see, the facets grid generated a series of charts with columns separated by year and rows separated by different genres. AudienceRating represents the Y axis, while CriticRating represents the Z axis, respectively, for each chart in the series. And each genre is differentiated by a different color.***" ], "metadata": { "id": "riR68Bh2OZQZ" } }, { "cell_type": "markdown", "source": [ "***Most of the movies belong to the action, comedy, and drama genres, which shows that audiences are more interested in this type of movie. Movies with very high audience and critic ratings are considered to be highly liked. That happens mostly for action, drama, and thrillers.\n", "By analysing this dataset, domain experts can make their decisions for upcoming movies that are popular among the audience as per their ratings.\n", "So, if a producer or director wants to make a film, the above-mentioned genre will be most preferred in order to get the best response from the audience and earn the most profit from that film.***" ], "metadata": { "id": "bZytxtKIkcqf" } } ] }