Status Updates From Data Literacy Fundamentals:...

Ch 7 outlines 7 groups of data activities: creating data, building data sources, curating data, analyzing data, presenting data, consuming data, and making data-informed decisions. They don't happen in a linear fashion, and feed into each other in various ways. The heavy left is preparing data for analysis, which takes 80% of the effort. The last group is when the rubber hits the road and action happens to people.

Ch 6 describes and illustrates 6 ways of visualizing data: Figures (numbers), Tables, Visualizations, Dashboards, and Stories. Although data sonification research is revealing other senses, sight is our primary way of understanding patterns in data not visible in summary statistics, as graphing Anscome’s Quarter illustrates. Beautiful examples from Priestly, Playfair, Nightingale, and Munzner bring clarity.

Ch 5 considers 5 forms of data analysis and the questions answered: 1.Descriptive, "What happened?" 2.Inferential, "What about the rest?" 3.Diagnostic, "What's going on under the surface?" 4.Predictive, "What is likely to happen next?" 5.Prescriptive, "What should we do about it?". A short summary of statistical data analysis follows each, to make inferences from samples about the underlying population parameters.