Course curriculum

  • 1

    1 - Introduction

    • 1.1 - Overview of the Course

    • 1.2 - Principles of Visualisation

    • 1.3 - Visualisation Best Practices
  • 2

    2 - Problem Specification

    • 2.1 - Introduction

    • 2.2 - Overview of the Problem: Natural Catastrophe Data

    • 2.3 - Overview of the Problem: COVID-19 Data

    • 2.4 - ggplot2 Outline

    • 2.5 - Conclusion
  • 3

    3 - Data Collection and Data Management

    • 3.1 - Introduction

    • 3.2 - Preliminary Analysis: Natural Catastrophe Data

    • 3.3 - Preliminary Analysis: COVID-19 Data

    • 3.4 - Re-shaping our Data

    • 3.5 - Conclusion
  • 4

    4 - Visualisations for Reporting I: Natural Catastrophes

    • 4.1 - Introduction

    • 4.2 - Natural Disasters by Country/Region: Asia vs Americas

    • 4.3 - Natural Disasters by Type

    • 4.4 - Reporting on Deaths and Economic Loss

    • 4.5 - Conclusion
  • 5

    5 - Visualisations for Reporting II: COVID-19

    • 5.1 - Introduction

    • 5.2 - COVID-19 Cases by Country: United Kingdom vs South Africa

    • 5.3 - COVID-19 Deaths by Country: United Kingdom vs South Africa

    • 5.4 - Understanding how Government Intervention effected Case Numbers and Deaths: Lockdowns and Travel Bans

    • 5.5 - Conclusion
  • 6

    6 - Dashboarding for Reporting: R Shiny

    • 6.1 - Introduction

    • 6.2 - Creating an R Shiny Dashboard

    • 6.3 - Deploying a Dashboard

    • 6.4 - Conclusion