Getting (more out of) Graphics

Practice and Principles of Data Visualisation
1. Auflage 2024
ISBN: 978-0-367-67399-4
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 446 Seiten, Format (B × H): 176 mm x 251 mm, Gewicht: 938 g

Reihe: Chapman & Hall/CRC Data Science Series

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.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Unwin, Antony

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik Mathematik Stochastik
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie

Inhaltsverzeichnis

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

Über Autor(innen)

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.