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#Makeover monday : improving how we visualize and analyze data, one chart at a time / Andy Kriebel, Eva Murray.

By: Kriebel, Andy [autor.]Contributor(s): Murray, Eva [autor.]Material type: TextTextOriginal language: English Publisher: Nueva York : John Wiley & Sons, Inc, 2018Edition: Primera ediciónDescription: xvi, 472 páginas : ilustraciones, gráficas ; 23 cmContent type: texto Media type: sin mediación Carrier type: volumenISBN: 9781119510772; 9784449510796Subject(s): Visualización de información -- Guías | Procesamiento de datos en línea | Gráficos por computador | Tecnología de la informaciónDDC classification: 001.4226 Online resources: Recurso digital
Incomplete contents:
Chapter 1. Habits of a good data analyst ; Chapter 2. Data quality and accuracy ; Chapter 3. Know and understand the data ; Chapter 4. Keep it simple Chapter 5. Attention to detail ; Chapter 6. Designing for the audience ; Chapter 7. Trying new things ; Chapter 8. Iterate to improve ; Chapter 9. Effective use of color ; Chapter 10. Choosing the right chart type ; Chapter 11. Effective use of text ; Chapter 12. Using context to inform ; Chapter 12. Using context to inform
Abstract: #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.
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Libros Libros Biblioteca CESA

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General 001.4226 / K925 2018 (Browse shelf(Opens below)) Ej.1 Available 7101023812
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Disponible en ebsco ebooks Incluye índice y referencias bibliográficas Incluye ilustraciones y gráficas a color Contiene información biográfica de los autores (xv-xvi)

Chapter 1. Habits of a good data analyst ; Chapter 2. Data quality and accuracy ; Chapter 3. Know and understand the data ; Chapter 4. Keep it simple Chapter 5. Attention to detail ; Chapter 6. Designing for the audience ; Chapter 7. Trying new things ; Chapter 8. Iterate to improve ; Chapter 9. Effective use of color ; Chapter 10. Choosing the right chart type ; Chapter 11. Effective use of text ; Chapter 12. Using context to inform ; Chapter 12. Using context to inform

#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.

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