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#MakeoverMonday (Improving How We Visualize and Analyze Data, One Chart at a Time)

List Price: $39.95
SKU:
9781119510772
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  • Product Details

    Author:
    Andy Kriebel, Eva Murray
    Format:
    Paperback
    Pages:
    496
    Publisher:
    Wiley (October 9, 2018)
    Language:
    English
    Audience:
    General/trade
    ISBN-13:
    9781119510772
    Weight:
    40oz
    Case Pack:
    14
    File:
    Wiley-wileyUS_2_1_20260815-20260815.xml
    Folder:
    Wiley
    List Price:
    $39.95
    As low as:
    $37.95
    Publisher Identifier:
    P-WIL
    Discount Code:
    D
    Dimensions:
    7.3" x 9.2" x 1.2"
    Country of Origin:
    United States
    Pub Discount:
    50
    Imprint:
    Wiley
  • Overview

    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.