Data Visualization
for Analytics and Business Intelligence
A Comprehensive Overview
Version 6, Spring 2022
IT 7113 Data Visualization http://idi.kennesaw.edu/it7113/
IT 3703 Intro to Data Analytics and Technology http://idi.kennesaw.edu/it3703
Dr. Jack Zheng
This lecture notes file is hosted at https://www.edocr.com/v/yqwmqeba/jgzheng/Business-Data-Visualization
Overview
Topics:
1. Basic concepts
– What is (business) data visualization? What are the purposes
and types of visualization?
– What are the related terms and fields? How are they similar or
different?
2. Data visualization in business intelligence and analytics
– Basic data visualization elements and forms (types)
3. Design and development
– Principles, processes, applications and tools, IT support
4. Learning and career
2
This lecture notes provides a high-level overview of data visualization
primarily used in business intelligence and analytics. This overview is
comprehensive and covers as many aspects as possible, but it keeps them
at a high level. More details are provided in additional lecture notes.
Sections
3
Data Visualization Concepts
Basic concepts and terms
Purposes and values of data visualization
Related fields: what are the differences?
4
Visualization
• Visualization is related to vision (seeing through eyes), one of the major
human senses to interact with the world.
• Visualization is the process of forming a visual image of things that can be
seen through eyes (and/or imagined in human mind).
• What can be visualized?
– Visible reality: person, animal, building, mountain
– Hidden reality: earth core, blood vessel, universe
–
Invisible reality: wind (hint.fm/wind), air, heat, electron, sound, smell, magnetic fields
– Abstract entity: data, information, idea, hierarchy, process, relationship
• How to visualize them? – Types/features of visualization forms
– 2D vs. 3D
– Static vs. motion
– Virtual (created in computers) vs. materialized (built/displayed in real world)
– Realistic (using realistic objects) vs. abstract (using abstra