https://github.com/aditi-manthri/whatsinmycsv

whatsinmycsv is a web-based CSV analysis tool built with Streamlit, designed for quick, effortless exploration of your CSV files. Simply upload your file and get instant insights without needing any setup or coding.
https://github.com/aditi-manthri/whatsinmycsv

data-visualization exploratory-data-analysis python shadcn-ui streamlit

Last synced: 7 days ago
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whatsinmycsv is a web-based CSV analysis tool built with Streamlit, designed for quick, effortless exploration of your CSV files. Simply upload your file and get instant insights without needing any setup or coding.

• Host: GitHub
• URL: https://github.com/aditi-manthri/whatsinmycsv
• Owner: aditi-manthri
• License: mit
• Created: 2024-10-17T15:21:46.000Z (21 days ago)
• Default Branch: main
• Last Pushed: 2024-10-31T08:27:00.000Z (8 days ago)
• Last Synced: 2024-10-31T08:29:33.789Z (8 days ago)
• Topics: data-visualization, exploratory-data-analysis, python, shadcn-ui, streamlit
• Language: Python
• Homepage: https://whatsinmycsv.streamlit.app/
• Size: 30.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Introduction

What's in my CSV? is a web-based CSV analysis tool built with Streamlit, designed for quick, effortless exploration of your CSV files. Simply upload your file and get instant insights without needing any setup or coding.


Features

Dataset Overview:Get a quick summary of your dataset's dimensions (rows and columns).

Data Preview: View the first 10 rows of your data.

Column Details: See information about all columns, including data types and null values.


Usage

To use the What's in my CSV? Streamlit app, follow these steps:




    


        Clone the Repository:

        
git clone https://github.com/aditi-manthri/whatsinmycsv.git

cd whatsinmycsv

    

    


        Set Up a Virtual Environment (Optional but Recommended):

        
python -m venv venv

source venv/bin/activate  # On Windows use `venv\Scripts\activate`

    

    


        Install Required Packages:

        
pip install -r requirements.txt

    

    


        Run the Streamlit App:

        
streamlit run streamlit_app.py

    

    


        Access the App:

        Open your web browser and go to http://localhost:8501.

    



Contributing

Contributions are welcome! If you have any suggestions or improvements, feel free to open an issue or submit a pull request.


License

This project is licensed under the MIT License.