Difference between revisions of "Lesson 2"
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Latest revision as of 20:56, 23 January 2020
IS428 Visual Analytics for Business Intelligence
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Designing Graphs to Enlighten
Contents
Lesson Outline
- Course Overview
- Motivation of Visual Analytics for Business Intelligence
- Myths of Data Visualisation for Business Intelligence
- What Visual Analytics is
- Visual Analytics in History
- Intents of Visual Analytics for Business Intelligence
- Visual Analytics Tools
Readings
Core Readings
- Data Visualization: Clarity or Aesthetics?
- Clarity or Aesthetics? Part 2 – A Tale of Four Quadrants
- Clarity or Aesthetics? Part 3 – Tips for Achieving Both
- Junk Charts Trifecta Checkup: The Definitive Guide
Optional Readings
- 7 Basic Rules for Making Charts and Graphs
- Quantitative Literacy Across the Curriculum
- Tapping the Power of Visual Perception
- Sometimes We Must Raise Our Voices
- Best Practices for Understanding Quantitative Data
- Data Visualization: Rules for Encoding Values in Graph
- Choosing Colors for Data Visualization
- Line Graphs and Irregular Intervals: An Incompatible Partnership
Learning from Examples
- When your own data contradicts your headline
- Mistakes, we’ve drawn a few
- Three Steps to Make Your Data Clearer
All About Tableau
White Paper
- Which chart or graphis right for you?
- Good Enough to Great: A Quick Guide for Better Data Visualizations
