{"cells":[{"metadata":{"trusted":true},"cell_type":"markdown","source":"I mean sometimes you can just use **pandas data profiler** to start with. This profiler notebook is packed with information so it takes some time to output all results. Wait ~2min and you'll get a massive summary about 28 data files of the competition with metrics such as: row count, number of columns and column types, duplicates and uniqueness, top values and missing stats, various data demographic highlights etc. Below are just two examples of what this report provides after it draws all results. \n\nPS forks of my 'super lazy' notebook means a lot to me. It means someone finds my work useful. It was a lazy approach but still I put some effort into this. Please don't forget to UPVOTE."},{"metadata":{},"cell_type":"markdown","source":"![warnings](attachment:image.png)","attachments":{"image.png":{"image/png":"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"}}},{"metadata":{},"cell_type":"markdown","source":"![columns 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"}}},{"metadata":{"tr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numpy as np\nimport pandas as pd\nimport os\n\nfrom pandas_profiling import ProfileReport\nimport warnings\nwarnings.filterwarnings(\"ignore\")","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Table of contents\n1. [Cities](#1)\n    - [Cities Disclosing](#2)\n        - [Cities_Disclosing_to_CDP_Data_Dictionary](#3)\n        - [2018_Cities_Disclosing_to_CDP](#4)\n        - [2019_Cities_Disclosing_to_CDP](#5)\n        - [2020_Cities_Disclosing_to_CDP](#6)\n    - [Cities Responses](#7)  \n        - [Full_Cities_Response_Data_Dictionary](#8) \n        - [2018_Full_Cities_Dataset](#9) \n        - [2019_Full_Cities_Dataset](#10) \n        - [2020_Full_Cities_Dataset](#11) \n        \n1. [Corporations](#12)  \n    - [Corporations Disclosing](#13)\n        - [Climate change](#14)\n            - [Corporations_Disclosing_to_CDP_Data_Dictionary](#15)\n            - [2018_Corporates_Disclosing_to_CDP_Climate_Change](#16)\n            - [2019_Corporates_Disclosing_to_CDP_Climate_Change](#17)\n            - [2020_Corporates_Disclosing_to_CDP_Climate_Change](#18)        \n        - [Water security](#19)\n            - [Corporations_Disclosing_to_CDP_Data_Dictionary](#20)\n            - [2018_Corporates_Disclosing_to_CDP_Water_Security](#21)\n            - [2019_Corporates_Disclosing_to_CDP_Water_Security](#22)\n            - [2020_Corporates_Disclosing_to_CDP_Water_Security](#23)\n    \n    - [Corporations Responses](#24)\n        - [Climate change](#25)\n            - [Full_Corporations_Response_Data_Dictionary copy](#26) \n            - [2018_Full_Climate_Change_Dataset](#27) \n            - [2019_Full_Climate_Change_Dataset](#28) \n            - [2020_Full_Climate_Change_Dataset](#29)       \n        - [Water security](#30)\n            - [Full_Corporations_Response_Data_Dictionary](#31) \n            - [2018_Full_Water_Security_Dataset](#32) \n            - [2019_Full_Water_Security_Dataset](#33) \n            - [2020_Full_Water_Security_Dataset](#34)\n        \n1. [Supplementary Data](#35) \n    - [CDC Social Vulnerability Index 2018 - SVI2018_US](#36)\n    - [CDC Social Vulnerability Index 2019 - SVI2018_US_COUNTY](#37)\n    - [Simple Maps US Cities Data](#38)\n    - [Locations of Corporations](#39)\n        "},{"metadata":{"trusted":true},"cell_type":"code","source":"path = '../input/cdp-unlocking-climate-solutions/'","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"1\"></a>\n# Cities"},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","collapsed":true,"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":false},"cell_type":"markdown","source":" <a id=\"2\"></a>\n## Cities disclosing"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"3\"></a>\n### Cities_Disclosing_to_CDP_Data_Dictionary"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Cities/Cities Disclosing/Cities_Disclosing_to_CDP_Data_Dictionary.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"4\"></a>\n### 2018_Cities_Disclosing_to_CDP"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Cities/Cities Disclosing/2018_Cities_Disclosing_to_CDP.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"5\"></a>\n### 2019_Cities_Disclosing_to_CDP"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Cities/Cities Disclosing/2019_Cities_Disclosing_to_CDP.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"6\"></a>\n### 2020_Cities_Disclosing_to_CDP"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Cities/Cities Disclosing/2020_Cities_Disclosing_to_CDP.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"7\"></a>\n## Cities Responses"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"8\"></a>\n### Full_Cities_Response_Data_Dictionary"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Cities/Cities Responses/Full_Cities_Response_Data_Dictionary.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"9\"></a>\n### 2018_Full_Cities_Dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Cities/Cities Responses/2018_Full_Cities_Dataset.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"10\"></a>\n### 2019_Full_Cities_Dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Cities/Cities Responses/2019_Full_Cities_Dataset.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"11\"></a>\n### 2020_Full_Cities_Dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Cities/Cities Responses/2020_Full_Cities_Dataset.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"12\"></a>\n# Corporations"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"13\"></a>\n## Corporations dislosing"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"14\"></a>\n### Climate change"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"15\"></a>\n#### Corporations_Disclosing_to_CDP_Data_Dictionary"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Disclosing/Climate Change/Corporations_Disclosing_to_CDP_Data_Dictionary.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"16\"></a>\n#### 2018_Corporates_Disclosing_to_CDP_Climate_Change"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Disclosing/Climate Change/2018_Corporates_Disclosing_to_CDP_Climate_Change.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"17\"></a>\n#### 2019_Corporates_Disclosing_to_CDP_Climate_Change"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Disclosing/Climate Change/2019_Corporates_Disclosing_to_CDP_Climate_Change.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"18\"></a>\n#### 2020_Corporates_Disclosing_to_CDP_Climate_Change"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Disclosing/Climate Change/2020_Corporates_Disclosing_to_CDP_Climate_Change.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"19\"></a>\n### Water security"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"20\"></a>\n#### Corporations_Disclosing_to_CDP_Data_Dictionary"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Disclosing/Water Security/Corporations_Disclosing_to_CDP_Data_Dictionary.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"21\"></a>\n#### 2018_Corporates_Disclosing_to_CDP_Water_Security"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Disclosing/Water Security/2018_Corporates_Disclosing_to_CDP_Water_Security.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"22\"></a>\n#### 2019_Corporates_Disclosing_to_CDP_Water_Security"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Disclosing/Water Security/2019_Corporates_Disclosing_to_CDP_Water_Security.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"23\"></a>\n#### 2020_Corporates_Disclosing_to_CDP_Water_Security"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Disclosing/Water Security/2020_Corporates_Disclosing_to_CDP_Water_Security.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"24\"></a>\n## Corporations responses"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"25\"></a>\n### Climate change"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"26\"></a>\n#### Full_Corporations_Response_Data_Dictionary copy"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Responses/Climate Change/Full_Corporations_Response_Data_Dictionary copy.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"27\"></a>\n#### 2018_Full_Climate_Change_Dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Responses/Climate Change/2018_Full_Climate_Change_Dataset.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"28\"></a>\n#### 2019_Full_Climate_Change_Dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Responses/Climate Change/2019_Full_Climate_Change_Dataset.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"29\"></a>\n#### 2020_Full_Climate_Change_Dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Responses/Climate Change/2020_Full_Climate_Change_Dataset.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"30\"></a>\n## Water security"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"31\"></a>\n#### Full_Corporations_Response_Data_Dictionary"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Responses/Water Security/Full_Corporations_Response_Data_Dictionary.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"32\"></a>\n#### 2018_Full_Water_Security_Dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Responses/Water Security/2018_Full_Water_Security_Dataset.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"33\"></a>\n#### 2019_Full_Water_Security_Dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Responses/Water Security/2019_Full_Water_Security_Dataset.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"34\"></a>\n#### 2020_Full_Water_Security_Dataset"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Corporations/Corporations Responses/Water Security/2020_Full_Water_Security_Dataset.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"35\"></a>\n# Supplementary data"},{"metadata":{},"cell_type":"markdown","source":"<a id=\"36\"></a>\n## CDC Social Vulnerability Index 2018 - SVI2018_US"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Supplementary Data/CDC Social Vulnerability Index 2018/SVI2018_US.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"37\"></a>\n## CDC Social Vulnerability Index 2018 - SVI2018_US_COUNTY"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Supplementary Data/CDC Social Vulnerability Index 2018/SVI2018_US_COUNTY.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"38\"></a>\n## Simple Maps US Cities Data"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Supplementary Data/Simple Maps US Cities Data/uscities.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"<a id=\"39\"></a>\n## Locations of Corporations"},{"metadata":{"trusted":true},"cell_type":"code","source":"c = pd.read_csv(path + 'Supplementary Data/Locations of Corporations/NA_HQ_public_data.csv')\nc.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"profile = ProfileReport(c, minimal=True)\nprofile.to_widgets()","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}