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- Author: Antony Unwin
- Publisher: CRC Press
- ISBN-10: 0367673991
- ISBN-13: 9780367673994
- Format: 17.8 x 25.4 x 2.3 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
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 graphic data analysis with real applications front and centre.
The first section of the book comprises a series of chapters, each dealing with one principle of graphics, illustrated with numerous examples. The second section offers a series of case studies, showing how the principles may be applied and how they interrelate.
Key Features:
- Includes exercises for readers to try the ideas out for themselves.
- Uses real datasets in the examples.
- R is being used through the book, but other software could be used.
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.
EXTRA 10 % discount with code: EXTRA
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- Author: Antony Unwin
- Publisher: CRC Press
- ISBN-10: 0367673991
- ISBN-13: 9780367673994
- Format: 17.8 x 25.4 x 2.3 cm, softcover
- Language: English English
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 graphic data analysis with real applications front and centre.
The first section of the book comprises a series of chapters, each dealing with one principle of graphics, illustrated with numerous examples. The second section offers a series of case studies, showing how the principles may be applied and how they interrelate.
Key Features:
- Includes exercises for readers to try the ideas out for themselves.
- Uses real datasets in the examples.
- R is being used through the book, but other software could be used.
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.
Reviews