matheusfbosa / eda

Exploratory Data Analysis App with Streamlit

Exploratory Data Analysis App with Streamlit

This app aims to help data scientists get their dataset first insights in a simple and fast way. Exploratory Data Analysis is one of the most important steps in a data science project and it can be very time-consuming. However, many times this work can be facilitated using a generalized code for EDA.

Getting Started

Here are some information to help you get started. This app is still in development and many more functionalities can be added to it!

Prerequisites

The packages needed are in the requirements.txt file.

Installing

Clone the repository and install all the packages necessary:

Use the following command to run the application:

streamlit run eda.py

Deployment

You can create your own app on Heroku platform! It is easy and free! Create your account and download the Heroku CLI. Follow this tutorial.

You can access the app here

Built With

• Streamlit - The web framework
• Heroku - App host

Author

• Matheus Bosa - Linkedin Github

Acknowledgments

Using Streamlit you can create beautiful apps and it can also help data scientists translate your work to a business language.