Getting (more out of) Graphics (Chapman & Hall/CRC Data Science Series)
Language: English
Published by Chapman and Hall/CRC, 2024
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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In English.
Seller Inventory # ria9780367673994_new
- Title
- Getting (more out of) Graphics (Chapman & Hall/CRC Data Science Series)
- Author
- Unwin, Antony
- Publisher
- Chapman and Hall/CRC
- Publication year
- 2024
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0367673991
- ISBN 13
- 9780367673994
- Item weight
- 1,054 grams
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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