Journey into data

Case Study: Analyzing Fitness Data in Alteryx

Giniya Gupta

Sr. Analyst

What is a case study?

  • In-depth analysis of a specific real-world situation using data
  • Answer specific business questions
  • Prerequisite courses
    • Introduction to Alteryx
    • Data Preparation in Alteryx
    • Data Transformation in Alteryx

desk.JPG

Case Study: Analyzing Fitness Data in Alteryx

Data analysis flow in Alteryx

$$Case study flow 0

Case Study: Analyzing Fitness Data in Alteryx

Data analysis flow in Alteryx

Case study flow 1

  • Understand the business question
    • Example: Which days of the week does the usage of smart fitness apps decrease, and how can we prevent it?
Case Study: Analyzing Fitness Data in Alteryx

Data analysis flow in Alteryx

Case study flow 2

  • Data quality check:
    • Missing values and duplicate rows
    • Align with other internal data sources
  • Build your first Alteryx workflow!
Case Study: Analyzing Fitness Data in Alteryx

Data analysis flow in Alteryx

Case study flow 3

  • Removing duplicate rows
  • Replacing NULL values
  • Ensuring that the correct data type is assigned to each field
Case Study: Analyzing Fitness Data in Alteryx

Data analysis flow in Alteryx

Case study flow 4

  • Reveal patterns and connections
  • Create calculated fields
  • Combine data sets
Case Study: Analyzing Fitness Data in Alteryx

Data analysis flow in Alteryx

Case study flow 5

No visualizations will be created in this course

Case Study: Analyzing Fitness Data in Alteryx

The scenario

$$

  • Bellabeat - a company that designs smart fitness-tracking products for women
  • Seeks to expand its customer base

Lady using app.jpg

Case Study: Analyzing Fitness Data in Alteryx

The data

  • Personal fitness tracker data$^1$:
    • 30 users over a period of 31 days
  • Three CSV files
  • Each dataset contains:
    • Common columns, Id and Date
    • ID is a unique identifier

Fitness data.JPG

1 Dataset modified from Kaggle
Case Study: Analyzing Fitness Data in Alteryx

The data

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...
Case Study: Analyzing Fitness Data in Alteryx

The data

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...
Case Study: Analyzing Fitness Data in Alteryx

Business questions

$$

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?

Marketing strategy

Case Study: Analyzing Fitness Data in Alteryx

Let's start analyzing!

Case Study: Analyzing Fitness Data in Alteryx

Preparing Video For Download...