Lesson 1: Introduction to Visual Analytics
Content
- Course Overview
- Motivation of Visual Analytics
- What Visual Analytics is
- Visual Analytics in History
- Intents of Visual Analytics Applications
- Visual Analytics Techniques: basic graphical methods
- Visual Analytics Tools
Lesson Slides and Hands-on Notes
In-class Exercise
By the end of this lesson, you will gain hands-on experience on:
- creating the course website by using Quarto and RStudio,
- managing the website by using git/github by using RStudio
- publishing the website onto Netlify server
Self-reading Before Lesson
Webinars
Readings
- Thomas, J.J. & Cook, K.A. (2006) “A Visual Analytics Agenda”, ‘’IEEE Computer Graphics and Applications’’, January 2006, Vol.26(1), pp.10-13
- Chabot, C (2009) “Demystifying Visual Analytics”, ‘’IEEE Computer Graphics and Applications’’, March 2009, Vol.29(2), pp.84-87.
- The 5 Most Influential Data Visualizations of All Time
- J.J. Thomas and K.A. Cook, eds. (2005) Illuminating the Path: The Research and Development Agenda for Visual Analytics, IEEE CS Press.
- Jun, Yuan et. al. (2020) “A survey of visual analytics techniques for machine learning”, Computational Visual Media. doi.org/10.1007/s41095-020-0191-7.
- Cui, Wenqiang (2019) “Visual Analytics: A Comprehensive Overview”, IEEE Access.
Statistical Graphics Methods
Age-sex Pyramid
Pareto Chart
Trellis Display
All About Tableau
Things about Tableau you must know!
Learning Tableau
- Getting Started
- Tableau Interface
- Getting Started with Visual Analytics
- Formatting
- The Formatting Pane
- Reference lines
- Getting Started with Data also self-learn the remaining videos under ’‘’Connecting to Data’’’
- Getting Started with Tableau Prep Builder. This is a brand-new product from Tableau designed to help everyone quickly and confidently combine, shape, and clean their data for analysis. You can learn more about Tableau Data Prep here. You are encouraged to view all the 12 videos under ’‘’Tableau Prep’’’.