Streamlit Data Profiler

A Streamlit web application that performs data profiling on an uploaded file.

Overview

This repository contains a project that aims to develop a web application using Streamlit. The project focuses on creating a data profiler application to analyze and visualize datasets.

Features

• Data upload functionality
• Data validation
• Custom report theme and type using input widgets
• Data profiling and summary statistics
• Visualization of data distributions
• Interactive UI with Streamlit

Deployed App

The app is deployed to Streamlit Share. You can access it here: https://app-bencetoth-data-profiling.streamlit.app/

Local Installation

To run this project locally, you need to have Python installed. Follow the steps below to set up the project:

1. Clone the repository:

   git clone https://github.com/BenceToth/Streamlit_Data-Profiler.git

2. Navigate to the project directory:

   cd Streamlit_Data-Profiler

3. Create a virtual environment and activate it:

   python -m venv venv_name
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

4. Install the required dependencies:

   pip install -r requirements.txt

5. Start the Streamlit application by running the following command:

   streamlit run data-profiling_app.py