Exploring the data

Case study di Data Literacy: analisi del lavoro da remoto

Maarten Van den Broeck

Senior Content Developer at DataCamp

Exploratory data analysis

• Why?
  • Assessing the main characteristics of the data
  • Finding relationships, patterns, or groups
  • Suggesting questions or hypotheses for future analysis
• How?
  • Describing the data numerically
  • Visualizing the data

Example: age characteristics

• What are the main age characteristics of the respondents?
  • Average/median age: 43
  • Youngest: 21
  • Oldest: 66

Descriptive statistics of age

	Age
Mean	43.77
Std.dev	11.84
Min	21.00
Median	43.00
Max	66.00
N valid	1512

Are all age groups represented?

Are all age groups represented?

Example: remote frequency vs. preference

Example: remote frequency vs. preference

Example: remote frequency vs. preference

Let's practice!

Case study di Data Literacy: analisi del lavoro da remoto