Build an EDA Playground with Streamlit

Author(s): Himanshu Sharma

Originally published on Towards AI.

A hands-on guide to building your own Data Prep & Visualization app with Streamlit

We’ve all been there: excited to try a new model on a fresh dataset, only to spend hours filling missing values, encoding categorical variables, scaling features, etc. And not only this, every time we have a fresh dataset, we will write the same code to do an Exploratory Data Analysis.

This article guides you through building a Data Analysis Playground using Streamlit, allowing users to upload CSV files, explore and preprocess data interactively, and visualize the results through various charts. The app provides preprocessing options like encoding categorical columns and scaling numerical columns, and it enables users to download the cleaned dataset and its associated code for reproducibility, ultimately enhancing productivity for data teams.

Read the full blog for free on Medium.

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Published via Towards AI