Lesson 2

IS428 Visual Analytics for Business Intelligence

About

Weekly Session

Assignments

Visual Analytics Project

Course Resources

Designing Graphs to Enlighten

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

Tutorial

• Formatting

• The Formatting Pane

• Getting Started with Dashboards and Stories

• Getting Started with Calculation

• Calculation Syntax

• Introduction to LOD Expressions

• Intro to Table Calculations

• Modifying Table Calculations

• Aggregate Calculations

• Date Calculations

• Logic Calculation

• String Calculation

• Number Calculation

• Type Calculation

• Conceptual Topics with LOD Expressions

• Aggregation and Replication with LOD Expressions

• Nested LOD Expressions