metadata
license: mit
language:
- en
pretty_name: Gym Activity and Calories Burned Analysis
📺 Video Presentation
🏋️ Gym Activity and Calories Burned Analysis
Author: Daniel Halali
Project Overview: Exploratory Data Analysis (EDA) on Gym Member Behavior
🎯 Research Goal
The primary objective of this project is to analyze the factors influencing calorie expenditure among gym members. By examining workout types, session durations, and member demographics, this study aims to identify the most effective patterns for energy output.
🔍 Key Questions & Insights
1. How does the Workout Type affect Calories Burned?
- Visualization: Grouped Boxplot
- Insight: HIIT and Strength Training show a higher median calorie burn compared to Yoga and Cardio.
2. Is there a correlation between Workout Duration and Calories Burned?
- Visualization: Scatter Plot
- Insight: There is a strong positive correlation; as session length increases, calorie expenditure consistently rises.
3. Does gender influence the average calories burned?
- Visualization: Bar Chart (Means)
- Insight: Average calorie burn is consistent across all gender categories, suggesting duration and intensity are more critical factors.
📊 Visualizations Included
In the attached .ipynb file, I have included:
- Histogram: Age Distribution
- Pie Chart: Gender Distribution
- Box Plot: Workout Duration, Calories Burned by Workout Type
- Scatter Plot: Duration vs. Calories Burned
- Bar Chart: Workout Type Distribution, Average Calories by Gender
💡 Decisions & Conclusions
The analysis shows that workout intensity (Type) and duration are the most significant drivers of calorie burn. For the gym's training programs, focusing on HIIT and session consistency is recommended for members aiming for weight loss.
🛠️ Tech Stack
- Python (Pandas, Matplotlib)
- Google Colab
- Dataset Source: Kaggle