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Making Data Visual : A Practical Guide to Using Visualization for Insight by Danyel Fisher and Miriah Meyer (2018, Trade Paperback)
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Which parts of the data actually matter?. Where is the insight hiding?.
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About this product
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101491928468
ISBN-139781491928462
eBay Product ID (ePID)219241045
Product Key Features
Number of Pages165 Pages
LanguageEnglish
Publication NameMaking Data Visual : a Practical Guide to Using Visualization for Insight
Publication Year2018
SubjectData Modeling & Design, Data Visualization, Data Processing, Databases / Data Mining
TypeTextbook
Subject AreaComputers
AuthorDanyel Fisher, Miriah Meyer
FormatTrade Paperback
Dimensions
Item Height0.5 in
Item Weight9 Oz
Item Length8.9 in
Item Width7.6 in
Additional Product Features
Intended AudienceScholarly & Professional
Dewey Edition23
IllustratedYes
Dewey Decimal001.4226
SynopsisYou 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, 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
LC Classification NumberQA76.9.I52
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