Data visualization: exploring and explaining with data /
Jeffrey D. Camm (et. all..)
- Delhi : Cengage, 2022.
- ix, 402 pages: ill,; 28 cm.
include Bibliographical references and index.
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: 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.