Data Literacy

Here are a few definitions of data literacy from the web:

Data literacy includes: 

• Being a critical consumer of data, statistics, and visualizations
• Understanding the context of data, statistics, and visualizations in the news, in academics, on the Internet, and in other areas
  • Asking the following questions about the data, statistic, or visualization: Who? What? When? Where? Why?
  • Considering correlation versus causation
• Finding, evaluating, analyzing, using, and creating data, statistics, and data visualizations responsibly

Quantitative data

• Includes: counts, numbers, measurements, statistics

Qualitative data

• Includes: words, interview transcripts, comments on a survey

Data literacy is not "data information literacy," which is about managing and preserving data (from research, generally), as defined by Jake Carlson and Linda Johnston in their book: