SØG - mellem flere end 8 millioner bøger:
Viser: Making Data Visual - A Practical Guide to Using Visualization for Insight
Making Data Visual Vital Source e-bog
Danyel Fisher og Miriah Meyer
(2017)
Making Data Visual
A Practical Guide to Using Visualization for Insight
Danyel Fisher og Miriah Meyer
(2018)
Sprog: Engelsk
om ca. 10 hverdage
Detaljer om varen
- 1. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: O'Reilly Media, Inc (December 2017)
- Forfattere: Danyel Fisher og Miriah Meyer
- ISBN: 9781491928424
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 1. Udgave
- Paperback: 250 sider
- Udgiver: O'Reilly Media, Incorporated (Januar 2018)
- Forfattere: Danyel Fisher og Miriah Meyer
- ISBN: 9781491928462
You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you're a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way.
When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world.
You'll learn:
- The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualization
- The role that visual representations play in data discovery
- Common visualization types by the tasks they fulfill and the data they use
- Visualization techniques that use multiple views and interaction to support analysis of large, complex data sets