Data Analysis & Visualization of Daily Activity Metrics

In this project, I analyzed daily activity data from smart devices to derive insights about fitness patterns. Using Python libraries like Pandas, Matplotlib, and Seaborn, I performed data cleaning and visualization. I built detailed visualizations for total steps, calories burned, and active minutes. Additionally, I implemented a linear regression model to predict calories burned based on step count.

Key highlights:

• Data cleaning and preprocessing
• Visualized activity trends using bar charts, line plots, and heatmaps
• Simple linear regression to predict calories based on steps
• Tools used: Python, Pandas, Matplotlib, Seaborn, Scikit-learn

The entire project is hosted on GitHub, where you can explore the code and visualizations in more depth.

GitHub Link: https://github.com/vishalofficepro/Daily-Activity-Metrics-Analysis