More about the book
Practical Charts provides concrete, easy-to-learn guidelines for creating "everyday" charts for reports and presentations, allowing you to quickly learn how to create charts that are clear, compelling, and accurate. Written in a friendly, jargon-free style by globally recognized data visualization expert and educator Nick Desbarats, Practical Charts will equip you with practical, highly specific guidelines for handling the vast majority of common chart design challenges (showing outliers, showing large numbers of values, etc.) and avoiding dozens of common mistakes (failing to annotate bars of zero length in bar charts, using sequential colors to identify non-sequential categories, etc.), covering over 30 important chart types and 180 key takeaways along the way. An essential resource for data visualization beginners and those with decades of data-handling experience alike.
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Practical Charts, Nicholas P Desbarats
- Language
- Released
- 2023
- product-detail.submit-box.info.binding
- (Paperback)
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- Title
- Practical Charts
- Language
- English
- Authors
- Nicholas P Desbarats
- Publisher
- Thea Lawrence
- Released
- 2023
- Format
- Paperback
- Pages
- 302
- ISBN10
- 1738888304
- ISBN13
- 9781738888306
- Series
- Rating
- 4.15 out of 5
- Description
- Practical Charts provides concrete, easy-to-learn guidelines for creating "everyday" charts for reports and presentations, allowing you to quickly learn how to create charts that are clear, compelling, and accurate. Written in a friendly, jargon-free style by globally recognized data visualization expert and educator Nick Desbarats, Practical Charts will equip you with practical, highly specific guidelines for handling the vast majority of common chart design challenges (showing outliers, showing large numbers of values, etc.) and avoiding dozens of common mistakes (failing to annotate bars of zero length in bar charts, using sequential colors to identify non-sequential categories, etc.), covering over 30 important chart types and 180 key takeaways along the way. An essential resource for data visualization beginners and those with decades of data-handling experience alike.