Welcome to the TSA Dashboard! This interactive web application is built with Streamlit to provide deep insights, dynamic visualizations, and forecasting for Time Series data.
Academic Context: This project and dashboard were developed as part of a Time Series Analysis project completed at the Indian Institute of Technology (IIT) Guwahati. You can view the formal certification in the repository: TSA_IITg_CertificateOfExcellence.pdf.
dashb.py: The main Streamlit application file containing the dashboard layout and UI logic.task1_3.py: Python script covering the implementation of Tasks 1 through 3 of the IIT project (e.g., data preprocessing, exploratory data analysis, and initial modeling).task4_final.py: Python script covering Task 4, which includes the final forecasting models and advanced time series analytics.requirements.txt: The list of Python dependencies required to run the project.
- Interactive Visualizations: Dynamically filter and explore time-dependent data trends.
- Statistical Analysis: Quickly surface key metrics, rolling averages, and seasonal patterns.
- Modular Codebase: Analysis is cleanly separated into task-specific scripts for easy review.