CSV statisctics visualizer

This is a data visualization web application developed using Streamlit. The application accepts a CSV file and allows the user to visualize the data distribution and apply statistical hypothesis tests.

Table of Contents

• Usage
• Installation
  • Installing and running Locally
  • Running on Streamlit Community Cloud

Usage

To get started with application, the hosted on streamlit version of app can be used:

https://csv-statistics-visualizer.streamlit.app/

Installation

Installing and Running Locally

Pre-requisites

• Anaconda

Steps:

1. Clone the repository

   git clone https://github.com/Rivgad/csv-statistics-visualizer
   cd csv-statistics-visualizer
   

2. Open Anaconda Prompt and change directory to project directory

3. Create a new Conda environment and activate it

   conda env create -f conda-env.yml
   conda activate csv-statistics-visualizer-env
   

4. Run the Streamlit app

   streamlit run app/streamlit_app.py
   

   or (for Windows)

   python -m streamlit run app/streamlit_app.py
   

Running on Streamlit Community Cloud

1. Fork repository *click here*

2. To deploy an app, click "New app" from the upper right corner of your workspace.

3. Fill in:

   • Repository: %your_github_username%/csv-statistics-visualizer
   • Branch: main
   • Main file path: app/streamlit_app.py

4. Click 'Advanced settings...' and choose Python version 3.10

5. Click 'Deploy!'