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Data literacy

As explained in Everyday Data Visualization

The ability to understand, interpret, evaluate, and communicate with data.

Data literacy is a user’s comfort with quantitative information. Early in a data-visualization project, gauge that comfort rather than assuming everyone is equally at home with charts, reports, or apps. section 8.2.1

Use conversation, not a pop quiz:

  • Ask which reports or apps people regularly use to track important quantitative information. section 8.2.1
  • Offer familiar anchors such as a sales dashboard or banking app, then listen for enthusiasm, uncertainty, or avoidance. section 8.2.1
  • Avoid asking for a numerical self-rating; reactions and examples often reveal more than a 1-to-10 answer. section 8.2.1

Reading between the lines

Someone eager to discuss a stock investment app may be comfortable with data. Someone who has ignored a report for years may need a gentler point of departure. No judgment—just useful context. section 8.2.1

How Everyday Data Visualization covers it

How deep it goes
Offers interview prompts and behavioral cues, without a formal numerical assessment scale.
Examples
Uses sales dashboards, banking apps, stock investment apps, and neglected reports as conversational probes.
What it assumes
Assumes a data-visualization project and teaches the initial literacy-gauging conversation from zero.
What you can do after
Apply it by asking about routinely used quantitative reports or apps and inferring comfort from responses.
How it connects
Connects data literacy with stakeholder interviews, user research, reports, dashboards, and banking apps.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Everyday Data Visualization. The section links point to the parts of the book it draws on.