Otherwa / CSVDash

Analyze and visualize CSV data with ease using this Streamlit-powered data analytics tool

Streamlit CSV Analytics App

This Streamlit app is designed to help you analyze and visualize data from CSV files. It allows you to upload your own CSV data and generate various analytics, including mean, mode, standard deviation, and variance for selected columns.

Features

• Upload your CSV data.
• Select the columns you want to analyze.
• Calculate and display mean, mode, standard deviation, and variance for the selected columns.
• Visualize your data with interactive charts (you can add this feature if desired).

Usage

1. Upload Your CSV File

   • Click the "Choose a CSV file" button to upload your CSV data.

2. Select Columns for Analysis

   • After uploading the file, use the multiselect dropdown to select the columns you want to analyze.

3. Calculate Statistics

   • Click the "Calculate Statistics" button to generate analytics for the selected columns.

4. View Results

   • The calculated statistics will be displayed for each selected column.

Getting Started

1. Clone this repository to your local machine.

   git clone https://github.com/your-username/streamlit-csv-analytics.git

2. Install the required Python packages.

   pip install -r requirements.txt

3. Run the Streamlit app.

   streamlit run app.py

4. Access the app in your web browser.

   http://localhost:8501
   

Dependencies

• Streamlit: Streamlit Documentation
• Pandas: Pandas Documentation

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Streamlit for making it easy to create data apps with Python.