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Data visualization: exploring and explaining with data / Jeffrey D. Camm (et. all..)

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Delhi : Cengage, 2022.Description: ix, 402 pages: ill,; 28 cmISBN:
  • 9789355733979
Subject(s): DDC classification:
  • 001.4226 CAM
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.
Summary: 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.
List(s) this item appears in: New Arrivals - May 1st to 31st 2024
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Item type Current library Call number Status Date due Barcode
Books Institute of Public Enterprise, Library S Campus 001.4226 CAM (Browse shelf(Opens below)) Available 48311

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.

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