noorulhudaajmal/temporal-analysis-of-pallidus-mr1-dataset

Pallidus MR1 data analysis

Temporal Analysis of Pallidus MR1 Data

This project was conducted for KravitzLab, focusing on the activity tracking data of subjects over time. The analysis involves identifying temporal patterns, testing hypotheses, and comparing day versus night activity levels.

Project Dependencies

The project was developed using Python with libraries such as

• Pandas for data manipulation.
• scipy for statistical analysis.
• Plotly for interactive visualizations
• Streamlit for building the web app.

Getting Started

Follow these instructions to set up your environment and run the app locally.

Prerequisites

• Python 3.7+
• pip

Setup

1. Clone the repository.
2. Create and activate a virtual environment.

   python -m venv venv
   source venv/bin/activate   # On Windows, use `venv\Scripts\activate`
   

3. Install the required packages.

   pip install -r requirements.txt
   

4. Run the Streamlit app

   streamlit run dashboard.py
   

Usage

• Upload Data: Use the sidebar to upload your MR1 activity data in Excel format.
• Select Analysis Options: Choose the type of analysis you want to perform from the horizontal menu.
• View Results: Interactive charts and tables will be displayed based on your selections.
• Download Summary: Download the generated summaries as an Excel file.

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