Exploratory data analysis (EDA) is an essential and preliminary first steps for exploring and summarizing the main characteristics of datasets. EDA provides the means to help us better understand variables and their relationships. This is achieved by non-graphical (descriptive statistics) and graphical (data visualization) techniques.
In this article, we will be creating an EDA web app that you can use to speed up your EDA analysis or allow your colleagues to perform EDA without having to code in Python. A simple upload of the input CSV file is all it takes to perform EDA analysis.
You can also refer to my YouTube video How to build an Exploratory Data Analysis app using Pandas Profiling on my YouTube channel (Data Professor) as a supplement to this article.