Case Study: Analyzing Fitness Data in Alteryx
Giniya Gupta
Sr. Analyst
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No visualizations will be created in this course
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DailyActivity.csv
has 15 columns containing data about daily physical activity tracking:
Column | Description |
---|---|
Id | The unique ID that identifies an app user |
ActivityDate | The date activity was recorded |
Calories | Calories burnt |
Physical activity related metrics | TotalSteps, TotalDistance, ActiveMinutes... |
SleepDay.csv
contains a daily record of sleep data in five different columns:
Column | Description |
---|---|
Id | The unique identifier for an app user |
SleepDay | Date of sleep record |
Sleep related metrics | TotalMinutesAsleep, TotalTimeInBed... |
WeightLogInfo.csv
includes a daily log of weight measurements in seven columns:
Column | Description |
---|---|
Id | |
Date | Date of recording weight |
Weight-related metrics | WeightKg, HeightMeters, Fat... |
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Bellabeat aims to grow its customer base
- Is there any pattern in users' activity/exercise schedules?
- What are the most tracked activities?
- What is the predominant lifestyle based on the lifestyle index?
- What are the users' physical activity levels compared to the recommended norms?
Case Study: Analyzing Fitness Data in Alteryx