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Fundamentals of Data Visualization (A Primer on Making Informative and Compelling Figures)

List Price: $79.99
SKU:
9781492031086
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  • Product Details

    Author:
    Claus O. Wilke
    Format:
    Paperback
    Pages:
    387
    Publisher:
    O'Reilly Media (May 14, 2019)
    Language:
    English
    ISBN-13:
    9781492031086
    ISBN-10:
    1492031089
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251023163248-20251023.xml
    Folder:
    TWO RIVERS
    List Price:
    $79.99
    As low as:
    $68.79
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Case Pack:
    8
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    28.8oz
    Imprint:
    O'Reilly Media
  • Overview

    Effective visualization is the best way to communicate information from the increasingly large and complex datasets in natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.

    This practical book takes you through many commonly encountered visualization problems and pitfalls and provides simple and clear guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization.

    • Explore the basic concepts of color use as a tool to highlight, distinguish, or represent a value
    • Understand the importance of redundant coding to ensure that you provide key information in multiple ways
    • Use our directory of visualizations: a graphical guide to the most commonly used types of data visualizations
    • Get extensive examples of good and bad figures; learn how to use figures in a document or report
    • Learn methods for visualizing amounts and proportions, paired data, trends, and time series
    • Visualize distributions with histograms and density plots, boxplots and violin plots, and ridgeline plots