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Autor(en): 
  • Andy Kriebel
  • Murray Eva
  • #MakeoverMonday: Improving How We Visualize and Analyze Data, One Chart at a Time 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2018  
    Genre:  Wirtschaft / Recht 
     
    #MakeoverMonday comparisons / #MakeoverMonday# Improving How We Visualize and Analyze Data, One Chart at a Time / Andy Kriebel / approaches to data visualization / Big Data / Business & management / Business & Management Special Topics / chart comparisons
    ISBN:  9781119510772 
    EAN-Code: 
    9781119510772 
    Verlag:  Wiley 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 185 mm / D 31 mm 
    Gewicht:  1134 gr 
    Seiten:  496 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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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