Social Engagement Analytics Dashboard

This folder contains the complete source code, dataset, and visualization dashboard for the Data-Driven Social Engagement Initiative.

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⚡ Quick Start Guide (For Reviewers)

To run the interactive Streamlit dashboard locally on your machine, follow these steps:

1. Extract the Project

Ensure you have downloaded and extracted this entire project directory.

2. Install Dependencies

Open your command prompt or terminal in the project root directory and run:

pip install -r requirements.txt

(This installs streamlit, pandas, plotly, scipy, textblob, seaborn, and other required libraries.)

3. Launch the Dashboard

Simply double-click the run_dashboard.bat file located in this root directory (or run it directly from your terminal):

run_dashboard.bat

The script uses relative path resolutions and will automatically launch the Streamlit server and open the dashboard in your default web browser (usually at http://localhost:8501).

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📁 Project Structure

• run_dashboard.bat - Portable, drive-independent launcher script.
• requirements.txt - Python dependencies list.
• new-major-project/
  • module_6/08_dashboard.py - Main Streamlit application file.
  • data/ - Sentiment and virality-scored datasets loaded by the dashboard.
  • strategy_report.md - Complete strategy findings and analytical reports.
  • Modules 1 to 7 - Source files and scripts for the seven data science phases (Data collection, NLP, A/B Testing, etc.).