This project focuses on gym and fitness data analysis using Python and Power BI.
Python is used for data cleaning, preprocessing, and exploratory data analysis, while Power BI is used to create a static dashboard to visualize key insights.
The objective of this project is to analyze gym-related data and present meaningful insights related to member activity, attendance, and performance through clear visualizations.
- Python
- Pandas
- Power BI
- CSV Dataset
- Data cleaning and preprocessing
- Handling missing and inconsistent values
- Exploratory Data Analysis (EDA)
- Summary statistics and trend identification
- Member attendance overview
- Workout / activity distribution
- Monthly trends
- Key summary metrics
- Identified peak gym usage periods
- Analyzed member activity patterns
- Compared performance metrics
- Add more detailed datasets
- Perform predictive analysis
- Improve dashboard design
Suggestions and improvements are welcome.