Visual Data Insights Using SAS ODS Graphics : a Guide to Communication-Effective Data Visualization /

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Bibliographic Details
Author / Creator:	Bessler, LeRoy.
Imprint:	Berkeley, CA : Apress L.P., 2023.
Description:	1 online resource (xix, 621 pages) : illustrations (chiefly color)
Language:	English
Subject:	SAS (Computer file) SAS (Computer file) Information visualization. Computer graphics. Computer graphics Information visualization
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13707611

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ISBN:	9781484286098 148428609X 1484286081 9781484286081
Notes:	Print version record.
Summary:	SAS ODS graphics users will learn in this book how to visually understand and communicate the significance of data to deliver images for quick and easy insight, with precise numbers. Many charts or plots require the viewer to run the eye from a bar end or plot point to some point on an axis, and then to interpolate between tick marks to estimate the value. Some design choices can lead to wrong conclusions or mistaken impressions. Graphic software relies on defaults to deliver something if you make a minimal effort, but that something is not likely to be exactly what you want. Visual Data Insights Using SAS ODS Graphics provides examples using experience-based design principles. It presents examples of bar charts, pie charts, and trend lines or time series plots, the graph types commonly used in business, other organizations, and the media for visual insight into data. Newer graphs are also included: dot plots, needle plots, waterfall charts, butterfly charts, heat maps, bubble plots, step plots, high-low plots, and donut charts. In addition, there are basic tools of statistics: scatter plots, box plots, histograms, fit and confidence plots, and distributions. Author LeRoy Bessler introduces unique creations, including sparsely annotated time series, maximally informative bar charts, better box plots, histograms based on interesting atypical rationales, and much more. The examples use SAS sample data sets as input. Any SAS user can experiment with the code presented to see what else is possible, or adapt it to repurpose the design and apply it with a customized version of that code. What You'll Learn Create graphs that are easily and quickly interpreted, and without ambiguity Supply precise data values that are correct on the graph and correctly associated with the graphic visual elements Take advantage of widely applicable (but not necessarily available elsewhere) design examples Avoid bad practices that are encouraged by poor examples elsewhere Get past sub-optimal designs and results that are built into software defaults Take advantage of less familiar capabilities available in the software Who This Book Is For SAS software users who want to understand their data and/or visually deliver their results.
Other form:	Print version: Bessler, LeRoy. Visual Data Insights Using SAS ODS Graphics. Berkeley, CA : Apress L.P., ©2023 9781484286081
Standard no.:	10.1007/978-1-4842-8609-8

Table of Contents:

Intro
Contents
About the Author
About the Technical Reviewer
Acknowledgments
Introduction
Part I: Design Principles
Chapter 1: Principles of Communication-Effective Graphic Design
Be Brief, Clear, Picturesque, and Accurate
3D Pie Charts Are Always Misleading
3D Bar Charts Are Anticommunicative
Graphs Need Image and Precise Numbers
A Usable Stacked Bar Chart Requires an Axis Table to Deliver the Precise Values
A Clustered Horizontal Bar Chart Is Better Than a Stacked Bar Chart
For Bar Charts, Horizontal Is Usually Better
For a Line Plot with Discrete X Values, an X Axis Table Is an Alternative to Annotation
Curve Labels Eliminate the Need for a Legend
Show Them What's Important
Show Them What's Important with Ranking
Show Them What's Important with Subsetting
Three Ways to Do Ranked Subsetting
Simplicity Accelerates and Facilitates Visual Insights into Data
A Sparse Graph Is Easily and Quickly Interpreted
Inform the Viewer About the Key Data Points of a Multi-line Overlay Plot
For a Trend, Usually Start the Y Axis at Zero
For a Bar Chart, Unless There Are Negative Values, Always Start the Value Axis at Zero
Use Maximally Simple Design to Focus on What's Important
Tell Them What's Important with a Headline
A Graph Footnote Does Not Need to Be Small
Assure Text Readability
Font Size and Font Weight Affect Readability
Keep Text Horizontal
Never Use Backgrounds-They Impair Readability
Readability Depends on Display Situation
A Graph Can Have a Companion Table
Web Graphs
Include Data Tips (a.k.a. Mouseover Text)
A Web Graph Can Have a Companion Hyperlinked Excel Table
A Web Graph Should Not Require Scrolling
Summary
Chapter 2: Principles of Communication-Effective Use of Color
Avoid Red and Green for "Bad Versus Good"
Color-Coding Data with a Multiple Shades of the Same Hue
Use Color to Communicate, Not to Decorate
Use of Color Can Confuse
Establish and Use a Personal Color Palette for Consistency
Beware of Color Names
Benefits of Boring Black and White
Color Requires Sufficient Mass to Be Distinguishable
Never Use Background Images or Textured or Color Gradient Backgrounds
Use a Plain Solid Color Background
Provide High Contrast Between Text Color and Background Color
Pie Charts and Color
Emphasis Options for Colorless Text
Choosing the Right Colors
A Light Color Can Be the Right Color
Uncolor Might Be the Right Color
"Transparent" Color As the Right Color
Color Differs on Different Media
Color Systems
RGB Colors
HLS Colors
Examples of Good Color Use
Summary
Part II: Widely Applicable Examples You Can Use
Chapter 3: Introduction to SAS ODS Graphics
Outer Structure of ODS Graphics Code in Examples
Inner Structure of ODS Graphics Code
Text Attributes Control in ODS Graphics

Visual Data Insights Using SAS ODS Graphics : a Guide to Communication-Effective Data Visualization /

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