Peter Spung’s Reviews > Data Literacy Fundamentals: Understanding the Power & Value of Data > Status Update
Peter Spung
is on page 148 of 172
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.
— Jun 12, 2023 11:57AM
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Peter’s Previous Updates
Peter Spung
is on page 131 of 172
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.
— Jan 03, 2023 02:24PM
Peter Spung
is on page 102 of 172
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.
— Nov 28, 2022 05:41PM
Peter Spung
is on page 64 of 172
Ch 4 describes a metadata concept similar to the way its done in statistics: the four types of data scales: nominal & ordinal, which are subtypes of categorical data (variables), and interval & ratio, which are subtypes of quantitative variables. How you can interpret and compare/contrast data value depends on these types. The author presents alternate definitions, and encourages open mindedness about this.
— Sep 13, 2022 11:29AM
Peter Spung
is on page 50 of 172
Ch 3 defines and describes three domains of data that we interact with: professional, public, personal (esp the Quantified Self). Jones gives examples of each and encourages us to collect, download, explore, wrangle, draw and communicate about datasets as much as possible, in each domain.
— Jun 05, 2022 11:02AM
Peter Spung
is on page 36 of 172
Good set of principles around the Data, Information, Knowledge and Wisdom pyramid, and the foundation that data provides in Chapter 1. Explores behavior and decision making through the two systems of this thinking. And yes, there are five roles of intuition in analytics decision making.
— Feb 07, 2022 02:12PM
