#MakeoverMonday : improving how we visualize and analyze data, one chart at a time / Andy Kriebel, Eva Murray.  (Text) (Text)

Kriebel, Andrew Michael, 1973-
Murray, Eva Katharina, 1985-
Call no.: QA76.9.I52 K75 2018Publication: Hoboken, N.J. : Wiley, c2018Edition: 2nd edDescription: xvi, 472 p. : ill. (chiefly col.)ISBN: 9781119510772 (paper); 1119510775 (paper)Other title: MakeoverMonday | Makeover MondaySubject(s): Information visualizationLOC classification: QA76.9.I52 | K75 2018
Contents:Foreword / Andy Cotgreave -- Part I -- Introduction -- Part II -- Habits of a Good Data Analyst -- Data Quality and Accuracy -- Know and Understand the Data -- Keep It Simple -- Attention to Detail -- Designing for the Audience -- Trying New Things -- Iterate to Improve -- Effective Use of Color -- Choosing the Right Chart Type -- Effective Use of Text -- Using Context to Inform -- Part III -- The Community.
Summary: 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.--Publisher website.
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General Books General Stacks QA76.9.I52 K75 2018 (เรียกดูชั้นหนังสือ) พร้อมให้บริการ
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Includes bibliographical references and index.

Foreword / Andy Cotgreave -- Part I -- Introduction -- Part II -- Habits of a Good Data Analyst -- Data Quality and Accuracy -- Know and Understand the Data -- Keep It Simple -- Attention to Detail -- Designing for the Audience -- Trying New Things -- Iterate to Improve -- Effective Use of Color -- Choosing the Right Chart Type -- Effective Use of Text -- Using Context to Inform -- Part III -- The Community.

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.--Publisher website.

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