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. This app helps to extract relevant variables from a dataset with hundreds of variables, treat/drop missing values, and also perform univariate and multivariate analysis through beautiful charts.
Here are some information to help you get started. This app is still in development and many more functionalities can be added to it!
The packages needed are in the requirements.txt file.
Clone the repository and install all the packages necessary:
cd path
vintualenv venv
cd path\venv\Scripts\activate
pip install -r requirements.txt
Use the following command to run the application:
streamlit run main_explore_dataset.py
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
- Streamlit - The web framework
- Plotly express - Interactive plots
- Heroku - App host
Using Streamlit you can create beautiful apps and it can also help data scientists translate your work to a business language.