Introduction
This page analyzes a gym membership dataset (1,000 rows) including demographics, membership type, attendance, group lesson preferences, check-in times, time spent in the gym, drink subscriptions, personal training, and sauna use. The goal is to surface key statistics, visualize behavioral patterns, and provide actionable insights for operations (class scheduling, staffing, amenities) and member engagement.
To run on Neocities: upload this HTML and the CSV file named gym_membership.csv in the same directory.
Statistical analysis
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Total members
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Average age
Premium membership share
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Average visits per week
Attendance & amenities
- — attend group lessons
- — use sauna
- have personal training
- have drink subscription
Most common favorites
- Top group lesson: —
- Top drink flavor: —
- Peak check-in hour: —
- Avg time in gym: — minutes
Visualizations
Insights
- Membership mix: The dataset contains both Premium and Standard members. Premium share and engagement appear higher among group class fans and personal training clients.
- Peak patterns: Check-ins cluster around late morning and early evening, suggesting staffing and class scheduling should emphasize those windows.
- Group lessons: A few formats (e.g., BodyPump, Zumba, XCore, Yoga, HIT) dominate favorites. Offering more sessions in these categories likely improves utilization.
- Amenities: Sauna use and drink subscriptions vary widely. Bundling drink abo or sauna perks with Premium could increase adoption.
- Time in gym: Average gym time centers around 100–150 minutes, with notable long-stay members. Consider zoning (study/lounge areas) and recovery amenities to support longer visits.
Interactive explorer
Select filters to update charts and stats dynamically.
Charts and KPIs above will reflect your filter selection.
Conclusions
- Schedule optimization: Focus classes in peak hours (late morning, early evening), especially the top five most-loved formats.
- Premium value: Promote bundles (group classes + personal training + drink abo) to increase Premium uptake and retention.
- Amenities & recovery: Support longer stays with recovery zones and sauna capacity planning.
- Engagement loops: Use favorite lesson data to personalize recommendations and notify members when preferred classes have openings.