发帖
雷达卡
English | October 25th, 2018 | ISBN: 1119510775 | 496 Pages | EPUB
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.
本帖隐藏的内容
MakeoverMonday - Improving How We Visualize and Analyze Data, One Chart at a Time.epub
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