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 n
