Delving deeper into data

Case Study: Analyzing Fitness Data in Alteryx

Giniya Gupta

Sr. Analyst

Data dive recap

DataDiveRecap

  • Transformed date-related fields from strings to dates
  • Merged datasets
  • Computed BMI
  • Categorized lifestyle indexes
  • Set sitting thresholds
Case Study: Analyzing Fitness Data in Alteryx

Data dive reflections

Activity level Number of users
Very active 3
Active 4
Somewhat Active 10
Low Active 9
Sedentary 7

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Body Mass Index Number of users
Normal 3
Health risk Number of users
Very High Risk 3
High Risk 5
Medium Risk 8
Low Risk 8
Case Study: Analyzing Fitness Data in Alteryx

WHO guidelines: weekly physical activity

The World Health Organization (WHO) recommends:

  • At least 150 to 300 minutes of Moderate to Vigorous Physical Activity (MVPA) per week

Physical activity is vital for:

  • Maintaining overall health, enhancing mood, and reducing the risk of chronic diseases

WeeklyExercise

Case Study: Analyzing Fitness Data in Alteryx

Weekday behavior pattern

In this chapter, we will focus on finding:

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  • Sleep patterns by weekday
  • Weekday step count analysis
  • Weekly active minutes summary

WeekdayPattern

Case Study: Analyzing Fitness Data in Alteryx

Revisiting business questions

Key sub-questions to consider include:

  • Predominant lifestyle based on lifestyle index?
  • Users' physical activity levels compared to recommended norms?
  • Users' activity/exercise schedules?
  • Most tracked activities?

questions-bulb

Case Study: Analyzing Fitness Data in Alteryx

Let's practice!

Case Study: Analyzing Fitness Data in Alteryx

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