1st Edition
Getting (more out of) Graphics Practice and Principles of Data Visualisation
Data graphics are used extensively to present information. Understanding graphics is a lot about understanding the data represented by the graphics, having a feel not just for the numbers themselves, the reliability and uncertainty associated with them, but also for what they mean. This book presents a practical approach to data visualisation with real applications front and centre.
The first part of the book is a series of case studies, each describing a graphical analysis of a real dataset. The second part pulls together ideas from the case studies and provides an overview of the main factors affecting understanding graphics.
Key Features:
- Explains how to get insights from graphics.
- Emphasises the value of drawing many graphics.
- Underlines the importance for analysis of background knowledge and context.
Readers may be data scientists, statisticians or people who want to become more visually literate. A knowledge of Statistics is not required, just an interest in data graphics and some experience of working with data. It will help if the reader knows something of basic graphic forms such as barcharts, histograms, and scatterplots.
Preface
1. Introduction
Part 1: Graphics in Action
2. Graphics and Gapminder
3. Looking at the movies
4. Voting 46 times to choose a Presidential candidate
5. Measuring the speed of light
6. The modern Olympic Games in numbers
7. Re-viewing Bertin’s main example
8. Comparing chess players across the board
9. Results from surveys on gay rights
10. Who went up in space for how long?
11. Data in the sky at night
12. Psoriasis and the Quality of Life
13. Charging electric cars
14. Darwin’s Finches
15. Home or away: where do soccer players play?
16. Watching soccer—the English leagues
17. Fuel efficiency of cars in the USA
18. Differences amongst the Palmer penguins
19. Comparing tests for malaria
20. Are swimmers swimming faster?
21. Over 90 years running 90 km
22. Comparing software for facial recognition
23. Distinguishing shearwaters
24. When do road accidents with deer happen in Bavaria?
25. The Titanic Disaster
26. German Election 2021—what happened?
Part 2: Advice on Graphics
27. Provenance and quality
28. Wrangling
29. Colour
30. Setting the scene
31. Ordering, sorting, and arranging
32. What affects interpretation?
33. Varieties of plots, developing plots
34. Conclusions and recommendations
References
Biography
Antony Unwin was the first Professor of Computer-oriented Statistics and Data Analysis at the University of Augsburg in Germany. He is a fellow of the American Statistical Society, author of Graphical Data Analysis with R, co-author of Graphics of Large Datasets, and co-editor of the Handbook of Data Visualization.
