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Contents
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
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)
Power BI (Optional)
All About R
ggplot2
ggplots Extension
- ggVis
- ggmap
- ggtern, an extension to ggplot2 specifically for the plotting of ternary diagrams [19]
- 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. [20]
- ggthemes, some extra themes, geoms, and scales for 'ggplot2'. Provides 'ggplot2' themes and scales that replicate the look of plots by Edward Tufte, Stephen Few, 'Fivethirtyeight', 'The Economist', 'Stata', 'Excel', and 'The Wall Street Journal', among others. Provides 'geoms' for Tufte's box plot and range frame.
- ggigraph lets R users to make ggplot interactive. [21]
- sjPlot-package, Data Visualization for Statistics in Social Science [22]
Other R graphics packages
- corrplot [23]
Specialised Data Visualisation Tools
Interactive Exploratory Data Analysis
High-dimensional Data Visualisation
Time-series Data Visualisation
- Time Searcher [28]