From problem to insights

Data Literacy Case Study: Remote Working Analysis

Maarten Van den Broeck

Senior Content Developer at DataCamp

The data-driven process

Flow of the different steps in the data-driven process

Data Literacy Case Study: Remote Working Analysis

Things to consider

  • Quantitative vs. qualitative variables
    • Influences the kinds of graphs, statistics, and analysis methods available
    • Typically, a dataset contains a mix of both
  • Selecting the right type of analytics
    • Depends on the objectives of the analysis
    • Look at your analytical questions to guide your choice
Data Literacy Case Study: Remote Working Analysis

Quantitative vs. qualitative variables

Quantitative variables

  • Describes something with (only) numbers
  • Can be measured or counted
  • Mathematical operations like summing or multiplying are possible
  • Example: distance from work to home

Qualitative variables

  • Describes something with categories
  • Can be observed
  • Mathematical operations are not meaningful unless using ranks or counts
  • Example: the type of transport taken to go to the workplace
Data Literacy Case Study: Remote Working Analysis

Types of analytics

Summary visual of the different types of analytics

Data Literacy Case Study: Remote Working Analysis

Selecting the right type of analytics

Can we distinguish different remote working profiles?

  • Do they differ in remote working habits?
  • Do they differ in remote working needs?

Summary visual of descriptive analytics

Data Literacy Case Study: Remote Working Analysis

Let's practice!

Data Literacy Case Study: Remote Working Analysis

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