Exploring Workout Patterns: Insights into Effective Fitness Routines

Sai Anjali Chandaka (S4044925)

28th October 2024

Introduction

Analyzing Fitness Patterns and Health Metrics in Gym Members

Physical exercise plays a vital role in promoting good health, enhancing cardiovascular function, and boosting overall wellness. This analysis delves into the exercise habits and health metrics of gym members, aiming to uncover patterns that reveal how different workout routines impact fitness outcomes. By examining a variety of factors including workout types, session durations, calories burned, heart rate, and body composition, this report seeks to provide a clearer understanding of effective exercise practices.

The dataset comprises information from 973 gym members, covering essential attributes such as age, gender, weight, height, maximum and average heart rates, workout types, session durations, and calories burned. It also includes additional health metrics like body fat percentage, water intake, workout frequency, and Body Mass Index (BMI). Leveraging these data points, the analysis will explore relationships between workout habits and fitness outcomes, highlighting key trends and insights.

This report will address several key questions, including:

By analyzing these trends, this report aims to provide valuable insights that can help gym trainers, health professionals, and members to optimize their workout plans and achieve better fitness results.

1. Age Distribution Histogram

- “The histogram indicates a higher number of gym members aged 25-45, suggesting a peak in fitness interest within this age range.”

2. Calories Burned Distribution Histogram

- “This histogram displays the variation in calories burned across different workout sessions. Most workouts burn between 700 and 1200 calories, suggesting moderate to high-intensity exercise routines.”

Visualizations and Insights

1. Scatter Plot: Calories Burned vs. Session Duration

- “This scatter plot shows how session duration impacts calories burned across different workout types. We observe that longer sessions generally result in higher calorie burn, and workout types like HIIT appear to be more effective.”

2. Correlation Heatmap of Gym Data

- “The heatmap reveals significant correlations between different fitness metrics. For instance, longer sessions correlate strongly with higher calories burned. There’s also a notable correlation between BMI and weight.”

3. Linechart: Average Resting BPM(beats per minute) by Workout Frequency

- “Lower resting heart rates are observed among members who workout 4-5 times per week, suggesting better cardiovascular fitness.”

Conclusion

  1. Workout Efficiency: High-Intensity Interval Training (HIIT) is the most effective for burning calories in shorter durations, while consistent exercise (4-5 times per week) is linked to better cardiovascular health, as shown by lower resting heart rates.

  2. Demographic Trends: There are differences in workout preferences and participation across demographics, including higher fat percentages among females and lower gym attendance among older adults.

  3. Recommendations: Gyms should offer personalized fitness plans, encourage consistent workout routines, and provide diverse programs to cater to different age groups, while also promoting proper hydration and recovery for optimal results.

References

Khorasani, V. (Year). Gym members exercise dataset. Retrieved from https://www.kaggle.com/datasets/valakhorasani/gym-members-exercise-dataset/data