\n
Table of content
\n\n
Library\n* [1. Installation](#4)\n* [2. Import Libraries ](#5)\n \n
Load and view your data \n* [1. Load and Explore Data](#6)\n* [2. EDA using Sweetviz](#7)\n* [3. EDA Using Pandas Profiling](#8)\n\n
Others \n* [1. Sources](#9)"},{"metadata":{},"cell_type":"markdown","source":"
\n
Introduction"},{"metadata":{},"cell_type":"markdown","source":"
\n
Installation of required Libraries \n\nFollowing libraries we will be installing\n- Sweetviz\n- Pandas Visual Analysis\n- D-Tale"},{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n for filename in filenames:\n print(os.path.join(dirname, filename))\n\n# You can write up to 5GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# SweetViz"},{"metadata":{},"cell_type":"markdown","source":"## Installation"},{"metadata":{"trusted":true},"cell_type":"code","source":"!pip install sweetviz","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Import SweetViz"},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"import sweetviz as sv\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_data = pd.read_csv('../input/riiid-test-answer-prediction/train.csv',nrows=100000)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Generate Report"},{"metadata":{"trusted":true},"cell_type":"code","source":"my_report = sv.analyze(train_data)\nmy_report.show_html()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Download HTML report from /working/output Directory"},{"metadata":{},"cell_type":"markdown","source":"# Pandas Visual Analysis"},{"metadata":{},"cell_type":"markdown","source":"## Install Pandas Visual Analysis"},{"metadata":{"trusted":true},"cell_type":"code","source":"!pip install pandas-visual-analysis","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Import Pandas Visual Analysis and Report Generation"},{"metadata":{"trusted":true},"cell_type":"code","source":"from pandas_visual_analysis import VisualAnalysis\nVisualAnalysis(train_data)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# D-Tale"},{"metadata":{},"cell_type":"markdown","source":"## Installation"},{"metadata":{"trusted":true},"cell_type":"code","source":"!pip install dtale","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import dtale\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"dtale.show(train_data)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","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}