Difference between revisions of "Course Resources"

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* 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. [https://github.com/daattali/ggExtra]
 
* 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. [https://github.com/daattali/ggExtra]
 
* 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.  
 
* 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. [https://cran.r-project.org/web/packages/ggiraph/vignettes/an_introduction.html]
  
  

Revision as of 16:14, 15 May 2017

Vaa1.jpg 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]
  • Introduction to R Graphics with ggplot2 [18]

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




Specialised Data Visualisation Tools

Interactive Exploratory Data Analysis

High-dimensional Data Visualisation

  • Treemaps [26]
  • Hierarchical Clustering Explorer [27]

Time-series Data Visualisation

Graph Visualisation