Description

Book Synopsis
DATA VISUALIZATION: Exploring and Explaining with Data is designed to introduce best practices in data visualization to undergraduate and graduate students. This is one of the first books on data visualization designed for college courses. The book contains material on effective design, choice of chart type, effective use of color, how to both explore data visually, and how to explain concepts and results visually in a compelling way with data. The book explains both the "why" of data visualization and the "how." That is, the book provides lucid explanations of the guiding principles of data visualization through the use of interesting examples.

Table of Contents
1. Introduction. 2. Selecting a Chart Type. 3. Data Visualization and Design. 4. Purposeful Use of Color. 5. Visualizing Variability. 6. Exploring Data Visually. 7. Explaining Visually to Influence with Data. 8. Data Dashboards. 9. Telling the Truth with Data Visualization.

Data Visualization

    Product form

    A Paperback / softback by Michael Fry, Jeffrey Ohlmann, Jeffrey Camm

    £999.99

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      Book details

      Publisher Cengage Learning, Inc
      Published 18 May 2021
      ISBN-13 9780357631348
      978-0357631348
      ISBN-10 035763134X
      Also in:
      Computing Data mining

      Description

      Book Synopsis
      DATA VISUALIZATION: Exploring and Explaining with Data is designed to introduce best practices in data visualization to undergraduate and graduate students. This is one of the first books on data visualization designed for college courses. The book contains material on effective design, choice of chart type, effective use of color, how to both explore data visually, and how to explain concepts and results visually in a compelling way with data. The book explains both the "why" of data visualization and the "how." That is, the book provides lucid explanations of the guiding principles of data visualization through the use of interesting examples.

      Table of Contents
      1. Introduction. 2. Selecting a Chart Type. 3. Data Visualization and Design. 4. Purposeful Use of Color. 5. Visualizing Variability. 6. Exploring Data Visually. 7. Explaining Visually to Influence with Data. 8. Data Dashboards. 9. Telling the Truth with Data Visualization.

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