Course Resources

ISSS608 Visual Analytics and Applications

About

Weekly Session

Assignments

Visual Analytics Project

Course Resources

Visual Analytics Toolkit

In this course, students will be expose to and gain hands-on experience on several generic visual analytics toolkit and specialised data visualisation applications. Below are a list of the core software tools for this course.

Commercial Visual Analytics software

Tableau

• Tableau home page [1]
• Training and Tutorials [2]
• Visual Gallery [3]
• Blogs that inspired
  • The Information Lab [4]
  • DataRemixed [5]

JMP Pro

• JMP home page [6]
• Discovering JMP [7]
• JMP Learning Library [8]
• JMP® for Students 1: Navigation and Use [9]

QlikView and/or Qlik Sense (Optional)

• Qlik home page [10]
• QlikView home page [11]
• Qlik Sense home page [12]

Power BI (Optional)

• Power BI homepage [13]
• Guided Learning [14]
• Power BI Documentation [15]

All About R

ggplot2

• ggplot2 [16]
• ggplot2 – The R graph Gallery [17]
• ggVis
• ggmap
• ggtern, an extension to ggplot2 specifically for the plotting of ternary diagrams [18]
• ggExtra, a collection of functions and layers to enhance ggplot2. The main function is ggMarginal, which can be used to add marginal histograms/boxplots/density plots to ggplot2 scatterplots. [19]

• Introduction to R Graphics with ggplot2 [20]

• sjPlot-package, Data Visualization for Statistics in Social Science [21]

===Other R graphics packages

• coorplot [22]

Specialised Data Visualisation Tools

Interactive Exploratory Data Analysis

• Mondrian [23]
• GGobi [24]

High-dimensional Data Visualisation

• Treemaps [25]
• Hierarchical Clustering Explorer [26]

Time-series Data Visualisation

• Time Searcher [27]

Graph Visualisation

• Gephi [28]
• Cytoscape [29]