Exploratory data analysis using Python

Open-sourcing Python module for Exploratory Data Analysis, which can be used for any data set

This module has the following sub-functions for the data analysis

1. Getting to know the data
2. Data pre-processing / missing data
3. Crosstable and data validation and visualization
4. Logistic Regression on the data set
5. KNN analysis

How to use it?

1. Please install Anaconda https://docs.anaconda.com/anaconda/navigator/
2. Please install Spider IDE https://docs.spyder-ide.org/current/index.html
3. Download the eda.py from this project repo and a few sample data sets 
4. Run the eda.py in Spider IDE, and when prompted, provide the data file
5. Graphs will be populated in the Plots area in Spider
6. At any point in time, you can exit a particular loop or sub-function by typing 'exit'

GitHub Repo URL: https://github.com/myadavin/eda.py

Also, please check out my other posts related to this subject

• Artificial Intelligence, Machine Learning and Deep Learning for IT Operations
• Cloud Computing and Data Analytics fundamentals
• IT Operations Management
• MTTIC