Pickle File Viewer & DataFrame Analyzer

This Streamlit app allows users to upload and analyze Pickle files and Word documents, providing various data analysis and visualization options.

You can use the version hosted on streamlit Here

Getting Started

To run this app locally, make sure you have Python installed. Then, follow these steps:

Clone this repository to your local machine.
Navigate to the project directory.
Install the required dependencies by running:
```
pip install -r requirements.txt
```
Run the app by executing:
```
streamlit run app.py
```

Upload Pickle Files: Users can upload one or multiple Pickle files to analyze.
Upload DOC Files: Users can upload one or multiple Word documents (DOC or DOCX) for analysis.
Data Analysis Options: Provides various data analysis options such as sorting, group by aggregation, and community detection.
Data Visualization: Offers visualization options including histograms, boxplots, correlation heatmaps, and scatterplots.
Community Detection: Allows users to detect communities within the data using network analysis.

Upload Pickle Files: Click on the "Upload Pickle File(s)" button and select one or more Pickle files.
Upload DOC Files: Click on the "Upload DOC File(s)" button and select one or more Word documents.
Explore Data Analysis Options: Use the sidebar to select data analysis options and visualize the results.
Detect Communities: Click the "Detect Communities" button to perform community detection on the uploaded data.

Contributions are welcome! Feel free to open an issue or submit a pull request.

This project is licensed under the MIT License.