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, by Scott Berinato
Download PDF , by Scott Berinato
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Product details
File Size: 39805 KB
Print Length: 264 pages
Publisher: Harvard Business Review Press (April 26, 2016)
Publication Date: April 26, 2016
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B01BO6QM9Q
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Amazon Best Sellers Rank:
#68,918 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
For a book on making good charts, there were surprisingly very few quality chart examples in this extensively text based book on visual design
I’ve read several books on data visualization, but this is a great summary of the literature out there. If you don’t have time to delve into dataviz and design, read this one—it’ll get you 80% there.
This was our Analyst Community's Q3 Book Club selection, and it was a huge hit! We're even carrying the conversation into Q4 to focus on a few more of the chapters, and developing monthly 1-hour workshops so folks can practice the techniques. It's well written and contains excellent suggestions on how to effectively visualize data.
This was excellent for a business intelligence class. I used it to rapidly get an edge to my peers and my presentations showed a dramatic difference in being effective. The author included many practical stories that you could easily relate to. This book will help also help with your work presentations. Give it a read and keep it in your personal library.
Highly recommended. It's an easy read. Got through it in 3-4 sittings. I have quite a few data charting / visualization books (most of the standard ones making the rounds these days). This is one of the best. Berinato adds a good perspective from a business sense as well. Not bad skills to have in today's information overloaded workplace.
The best I've seen yet. This wide-ranging book, in addition to what most other books cover, adds two nifty frameworks that, between them capture the essence of what took me years of experience to master, Firstly, while most other books focus on design execution, Berinato adds the dimension of contextual awareness as an essential element of a good chart, and devotes considerable space to elaborating how to create contextually aware charts. Secondly,his "Four types" framework covers both data driven and conceptual charts, which are not usually treated as related. It also makes a clear distinction between exploratory and explanatory charts, emphasizing how their requirements differ, a distinction which usually goes unappreciated. Hence it unifies, expands and at the same time differentiates the topic of charts in a remarkably useful way."Good Charts" has the clarity of thinking that makes it points clearly and simply, without clutter and without oversimplifying - the signature of a master. Highly recommended.
Affordable and accessible book for the practitioner. Only complain was it didn't spend enough time on charts in the context of presentations (aka ppt).
Easy read and insightful. There are some good tips on how to go about the planning process and really making impactful charts. Seems to be more geared towards info graphic charts that are created and static rather than continuously updated. However most of the points still apply
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