9781938377129-1938377125-Now You See It: An Introduction to Visual Data Sensemaking

Now You See It: An Introduction to Visual Data Sensemaking

ISBN-13: 9781938377129
ISBN-10: 1938377125
Edition: Second edition
Author: Stephen Few
Publication date: 2021
Publisher: Analytics Press
Format: Hardcover 301 pages
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Book details

ISBN-13: 9781938377129
ISBN-10: 1938377125
Edition: Second edition
Author: Stephen Few
Publication date: 2021
Publisher: Analytics Press
Format: Hardcover 301 pages

Summary

Now You See It: An Introduction to Visual Data Sensemaking (ISBN-13: 9781938377129 and ISBN-10: 1938377125), written by authors Stephen Few, was published by Analytics Press in 2021. With an overall rating of 4.1 stars, it's a notable title among other Decision-Making & Problem Solving (Management & Leadership, Decision Making, Business Skills) books. You can easily purchase or rent Now You See It: An Introduction to Visual Data Sensemaking (Hardcover) from BooksRun, along with many other new and used Decision-Making & Problem Solving books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $13.58.

Description

Before you can present information to others, you must understand its story.
Now You See It teaches the concepts, principles, and practices of visual data sensemaking. The skills taught in this book rely primarily on something that most of us possess—vision—interactively using graphs to find and examine the meaningful patterns and relationships that reside in quantitative data. Although some questions about quantitative data can only be answered using sophisticated statistical techniques, most can be answered using relatively simple visual data sensemaking skills. Until
Now You See It was published, no book taught these basic skills comprehensively and in a way that was accessible to a broad audience. Even though these skills can be developed by anyone with eyes to see, they are not intuitive—they must be learned. Without these skills, even the best data visualization tools are of little use, and data will remain nothing but noise.

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