#Makeover monday : improving how we visualize and analyze data, one chart at a time /
Kriebel, Andy,
#Makeover monday : improving how we visualize and analyze data, one chart at a time / Andy Kriebel, Eva Murray. - Primera edición. - xvi, 472 páginas : ilustraciones, gráficas ; 23 cm.
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.
9781119510772 9784449510796
Visualización de información--Guías.
Procesamiento de datos en línea.
Gráficos por computador.
Tecnología de la información.
001.4226 / K925
#Makeover monday : improving how we visualize and analyze data, one chart at a time / Andy Kriebel, Eva Murray. - Primera edición. - xvi, 472 páginas : ilustraciones, gráficas ; 23 cm.
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.
9781119510772 9784449510796
Visualización de información--Guías.
Procesamiento de datos en línea.
Gráficos por computador.
Tecnología de la información.
001.4226 / K925
