Buy Data Visualization: Exploring and Explaining with Data, 1st Edition PDF ebook by author Jeffrey D. Camm; James J. Cochran; Michael J. Fry – published by Cengage Learning in 2022 and save up to 80% compared to the print version of this textbook. With PDF version of this textbook, not only save you money, you can also highlight, add text, underline add post-it notes, bookmarks to pages, instantly search for the major terms or chapter titles, etc.
You can search our site for other versions of the Data Visualization: Exploring and Explaining with Data, 1st Edition PDF ebook. You can also search for others PDF ebooks from publisher Cengage Learning, as well as from your favorite authors. We have thousands of online textbooks and course materials (mostly in PDF) that you can download immediately after purchase.
Note: e-textBooks do not come with access codes, CDs/DVDs, workbooks, and other supplemental items.
- Full title: Data Visualization: Exploring and Explaining with Data, 1st Edition
- Edition: 1st
- Copyright year: 2022
- Publisher: Cengage Learning
- Author: Jeffrey D. Camm; James J. Cochran; Michael J. Fry
- ISBN: 9780357631423, 9780357631430
- Format: PDF
Description of Data Visualization: Exploring and Explaining with Data, 1st Edition:
DATA VISUALIZATION: Exploring and Explaining with Data is designed to introduce best practices in data visualization to undergraduate and graduate students. The book contains material on effective design, choice of chart type, effective use of color, how to explore data visually, and how to explain concepts and results visually in a compelling way with data. In an increasingly data-driven economy, these concepts are becoming more important for analysts, natural scientists, social scientists, engineers, medical professionals, business professionals, and virtually everyone who needs to interact with data. Indeed, the skills developed in this book will be helpful to all who want to influence with data or be accurately informed by data.Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Table of Contents of Data Visualization: Exploring and Explaining with Data, 1st Edition PDF ebook:
Brief ContentsContentsAbout the AuthorsPrefaceChapter 1: Introduction1-1: Analytics1-2: Why Visualize Data?1-3: Types of Data1-4: Data Visualization in PracticeSummaryGlossaryProblemsChapter 2: Selecting a Chart Type2-1: Defining the Goal of Your Data Visualization2-2: Creating and Editing Charts in Excel2-3: Scatter Charts and Bubble Charts2-4: Line Charts, Column Charts, and Bar Charts2-5: Maps2-6: When to Use Tables2-7: Other Specialized Charts2-8: A Summary Guide to Chart SelectionSummaryGlossaryProblemsChapter 3: Data Visualization and Design3-1: Preattentive Attributes3-2: Gestalt Principles3-3: Data-Ink Ratio3-4: Other Data Visualization Design Issues3-5: Common Mistakes in Data Visualization DesignSummaryGlossaryProblemsChapter 4: Purposeful Use of Color4-1: Color and Perception4-2: Color Schemes and Types of Data4-3: Custom Color Using the Hsl Color System4-4: Common Mistakes in the Use of Color in Data VisualizationSummaryGlossaryProblemsChapter 5: Visualizing Variability5-1: Creating Distributions from Data5-2: Statistical Analysis of Distributions of Quantitative Variables5-3: Uncertainty in Sample Statistics5-4: Uncertainty in Predictive ModelsSummaryGlossaryProblemsChapter 6: Exploring Data Visually6-1: Introduction to Exploratory Data Analysis6-2: Analyzing Variables One at a Time6-3: Relationships between Variables6-4: Analysis of Missing Data6-5: Visualizing Time Series Data6-6: Visualizing Geospatial DataSummaryGlossaryProblemsChapter 7: Explaining Visually to Influence with Data7-1: Know Your Audience7-2: Know Your Message7-3: Storytelling with Charts7-4: Bringing It All Together: Storytelling and Presentation DesignSummaryGlossaryProblemsChapter 8: Data Dashboards8-1: What Is a Data Dashboard?8-2: Data Dashboards Taxonomies8-3: Data Dashboard Design8-4: Using Excel Tools to Build a Data Dashboard8-5: Common Mistakes in Data Dashboard DesignSummaryGlossaryProblemsChapter 9: Telling the Truth with Data Visualization9-1: Missing Data and Data Errors9-2: Biased Data9-3: Adjusting for Inflation9-4: Deceptive DesignSummaryGlossaryProblemsReferencesIndex