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Streamlit App

Interactive Research Dataset Visualization App

This Streamlit app allows you to interact with a dataset containing information about individuals, their conditions, and measures taken from treir conversation transcript.

Associated publication is:

Towards Unlocking the Linguistic Code of Post-Traumatic Stress Disorder: A Comprehensive Analysis and Diagnostic Approach, 2023

You can filter the dataset, visualize it using Seaborn box plots, and export filtered data in different formats.

This repository is associated with a streamlit app that will help to interact with the dataset.

Usage

  1. Clone this repository to your local machine.
  2. Install the required packages: pip install -r requirements.txt.
  3. Place your dataset in the project directory and update the file path in the script.
  4. Run the Streamlit app: streamlit run app.py.
  5. Use the interactive interface to filter and visualize the dataset.

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This repository is associated with a stremlit app that will help to interact with the dataset.

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