
- 470 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Data Visualization and Analytics
About this book
In the era of big data, visualizing information effectively enables organizations to make informed decisions and communicate insights clearly. Data visualization transforms complex datasets into accessible, meaningful narratives. Data Visualization and Analytics explores the principles, tools, and techniques for analyzing and presenting data. The book discusses visual design best practices, statistical interpretation, and storytelling with data. It also introduces visualization software such as Tableau, Power BI, and Python-based libraries. Combining theory with practical applications, it equips analysts, researchers, and decision-makers with the skills to convert data into actionable knowledge.
Information
Subtopic
Data VisualisationIndex
Computer ScienceTable of contents
- Cover
- Data Visualization and Analytics
- Copyright
- About the Author
- Brief Contents
- Table of Contents
- Preface
- Chapter 1. Introduction to Data Visualization
- Chapter 2. Data Types and Structures
- Chapter 3. Principles of Visual Design
- Chapter 4. Visualization Tools and Technologies
- Chapter 5. Basic Charts and Graphs
- Chapter 6. Advanced Visualizations
- Chapter 7. Data Preparation and Cleaning for Visualization
- Chapter 8. Interactive Dashboards and Storytelling
- Chapter 9. Exploratory Data Analysis (EDA)
- Chapter 10. Integrating Analytics and Statistical Concepts
- Chapter 11. Ethics in Data Visualization
- Chapter 12. Capstone Project and Case Studies
- Index
- Back Cover
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Yes, you can access Data Visualization and Analytics by Mauricio Alberto Ortega Ruiz in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Visualisation. We have over 1.5 million books available in our catalogue for you to explore.