{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":50160,"databundleVersionId":7921029,"sourceType":"competition"},{"sourceId":8206057,"sourceType":"datasetVersion","datasetId":4862280},{"sourceId":8206103,"sourceType":"datasetVersion","datasetId":4862315}],"dockerImageVersionId":30698,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"### Hello, \n##### I am new to this competition. I found it a bit troublesome in the exploration stage to learn each column's definition by opening each table. So I made a simple table that organize all filename, their columns and definition together. Feel free to use the [dataset](https://www.kaggle.com/datasets/conykuo/home-credit).\n##### Hope it helps :)","metadata":{}},{"cell_type":"code","source":"import numpy as np\nimport pandas as pd","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-04-23T13:21:51.618611Z","iopub.execute_input":"2024-04-23T13:21:51.619411Z","iopub.status.idle":"2024-04-23T13:21:53.024006Z","shell.execute_reply.started":"2024-04-23T13:21:51.619331Z","shell.execute_reply":"2024-04-23T13:21:53.022449Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pd.read_csv('/kaggle/input/home-credit/Home Credit columns and definitions.csv').sort_values('Filename')","metadata":{"execution":{"iopub.status.busy":"2024-04-23T13:31:32.950952Z","iopub.execute_input":"2024-04-23T13:31:32.951450Z","iopub.status.idle":"2024-04-23T13:31:32.974639Z","shell.execute_reply.started":"2024-04-23T13:31:32.951415Z","shell.execute_reply":"2024-04-23T13:31:32.973456Z"},"trusted":true},"execution_count":null,"outputs":[]}]}