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(Ebook) #MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time by Andy Kriebel; Eva Murray ISBN 9781119510796, 1119510791

  • SKU: EBN-7367766
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Instant download (eBook) #MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time after payment.
Authors:Andy Kriebel; Eva Murray
Pages:496 pages.
Year:2018
Editon:ebook
Publisher:Wiley
Language:english
File Size:36.53 MB
Format:epub
ISBNS:9781119510796, 1119510791
Categories: Ebooks

Product desciption

(Ebook) #MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time by Andy Kriebel; Eva Murray ISBN 9781119510796, 1119510791

Explore different perspectives and approaches to create more effective visualizations
#MakeoverMonday offers inspiration and a giant dose of perspective for those who communicate data. Originally a small project in the data visualization community, #MakeoverMonday features a weekly chart or graph and a dataset that community members reimagine in order to make it more effective. The results have been astounding; hundreds of people have contributed thousands of makeovers, perfectly illustrating the highly variable nature of data visualization. Different takes on the same data showed a wide variation of theme, focus, content, and design, with side-by-side comparisons throwing more- and less-effective techniques into sharp relief.
This book is an extension of that project, featuring a variety of makeovers that showcase various approaches to data communication and a focus on the analytical, design and storytelling skills that have been developed through #MakeoverMonday. Paging through the makeovers ignites immediate inspiration for your own work, provides insight into different perspectives, and highlights the techniques that truly make an impact.
-Explore the many approaches to visual data communication
-Think beyond the data and consider audience, stakeholders, and message
-Design your graphs to be intuitive and more communicative
-Assess the impact of layout, color, font, chart type, and other design choices
Creating visual representation of complex datasets is tricky. There's the mandate to include all relevant data in a clean, readable format that best illustrates what the data is saying -- but there is also the designer's impetus to showcase a command of the complexity and create multidimensional visualizations that "look cool." #MakeoverMonday shows you the many ways to walk the line between simple reporting and design artistry to create exactly the visualization the situation requires.
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