• Hands-on Exercise
    • 1: A Layered Grammar of Graphics: ggplot2 methods
    • 2: Beyond ggplot2 Fundamentals
    • 3.1: Programming Interactive Data Visualisation with R
    • 3.2: Programming Animated Statistical Graphics with R
    • 4.1: Visualising Distribution
    • 4.2: Visual Statistical Analysis
    • 4.3: Visualising Uncertainty
    • 4.4: Building Funnel Plot with R
    • 5.1: Building Ternary Plot with R
    • 5.2: Visual Correlation Analysis
    • 5.3: Visual Multivariate Analysis with Heatmap
    • 5.4: Visual Multivariate Analysis with Parallel Coordinates Plot
    • 5.5: Treemap Visualisation with R
    • 6: Visualising and Analysing Time-oriented Data
    • 7.1: Choropleth Mapping in R
    • 7.2: Visualising Geospatial Point Data
    • 7.3: Analytical Mapping
    • 8: Modelling, Visualising and Analysing Network Data with R
    • 9: Visualising and Analysing Text Data
    • 10: Information Dashboard Design: R methods
  • In-class Exercise
    • 1: Now You See It!
    • 2: Designing Graphs to Enlighten
    • 3: Interactivity in Visual Analytics
    • 4: Fundamentals of Visual Analytics
    • 5: Shiny Basics
    • 6: Visualising and Analysing Time-Oriented Data
    • 7: Visualising and Analysing Geographic Data
    • 8: Network Data Visualisation and Analysis
    • 9: Information Dashboard Design
  • Take-home Exercise
    • 1: Creating data visualisation beyond default
    • 2: Peer critique and DataVis Makeover
    • 3: Be Weatherwise or Otherwise
    • 4: Prototyping Modules for Visual Analytics Shiny Application
  • Home

Welcome to Visual Analytics & Application Learning Journey webpage.

In this website, you will find my coursework prepared for this course.

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