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.

Datasets discussed include the history of the Comrades Marathon, the 1912 Democratic Convention, the 2021 German election, Darwin's Finches, English league soccer, human spaceflights, and road accidents with deer in Bavaria.

Key Features:

How to get insights from graphics
The value of drawing many graphics
The importance of background knowledge and context for analysis

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 bar charts, histograms, and scatterplots.