Difference between revisions of "Lesson05"

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==Core Readings==
 
==Core Readings==
  
 +
* [https://www.tableau.com/learn/whitepapers/visualizing-survey-data?ref=wc&signin=87976443b721a885b33a300166b02e22 Visualizing Survey Data]
 
* [https://onlinelibrary-wiley-com.libproxy.smu.edu.sg/doi/full/10.1002/wics.1192 Mosaic Plots]
 
* [https://onlinelibrary-wiley-com.libproxy.smu.edu.sg/doi/full/10.1002/wics.1192 Mosaic Plots]
 +
* [https://www.jstatsoft.org/article/view/v057i05 Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications]
 
* [https://kosara.net/papers/2010/Kosara_BeautifulVis_2010.pdf Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project]
 
* [https://kosara.net/papers/2010/Kosara_BeautifulVis_2010.pdf Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project]
  
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==Optional Readings==
 
==Optional Readings==
  
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* [https://www.datarevelations.com/visualizing-survey-data Visualizing Survey Data from Data Revolution]
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* [https://bookdown.org/Rmadillo/likert/ Do not use averages with Likert scale data]
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* [https://link-springer-com.libproxy.smu.edu.sg/content/pdf/10.1007%2F978-3-540-33037-0_23.pdf Visualizing Contingency Tables]
 +
* [https://link-springer-com.libproxy.smu.edu.sg/content/pdf/10.1007%2F0-387-37977-0_5.pdf Multivariate Categorical Data-Mosaic Plots]
 
* [http://www.theusrus.de/blog/understanding-mosaic-plots/ Understanding Area Based Plots: Mosaic Plots]
 
* [http://www.theusrus.de/blog/understanding-mosaic-plots/ Understanding Area Based Plots: Mosaic Plots]
 
* [https://link-springer-com.libproxy.smu.edu.sg/content/pdf/10.1007%2F978-3-540-33037-0_24.pdf Mosaic Plots and Their Variants]
 
* [https://link-springer-com.libproxy.smu.edu.sg/content/pdf/10.1007%2F978-3-540-33037-0_24.pdf Mosaic Plots and Their Variants]
 +
* [https://doaj.org/article/f2413642cbd04cdd9741f8c6c607f8c9 Social Factors That Influence Use of ICT in Agricultural Extension in Southern Africa]
 
* [http://marlenacompton.com/?p=444 Visualizing Defect Percentages with Parallel Sets]
 
* [http://marlenacompton.com/?p=444 Visualizing Defect Percentages with Parallel Sets]
 
* [http://www.theusrus.de/blog/parallel-sets-vs-mosaic-plots-take-i/ Parallel Sets vs. Mosaic Plots (Take I)]
 
* [http://www.theusrus.de/blog/parallel-sets-vs-mosaic-plots-take-i/ Parallel Sets vs. Mosaic Plots (Take I)]
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=R Methods=
 
=R Methods=
  
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==Ternary Plot==
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==Diverging Stacked Bar Charts==
  
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* R packages for creating ternary plot
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* [https://www.rdocumentation.org/packages/HH/versions/3.1-35/topics/likert likert] function in [https://www.rdocumentation.org/packages/HH/versions/3.1-35 HH] package
−
** [https://cran.r-project.org/web/packages/Ternary/index.html Ternary], which employs the native plot functions;
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* [https://cran.r-project.org/web/packages/likert/ likert] package
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** [https://plot.ly/r/ternary-plots/ Plotly], which uses a bespoke suite of plotting functions;
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** [https://rpubs.com/m_dev/likert_summary Using likert on summary results]
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** [https://cran.r-project.org/web/packages/vcd/index.html vcd], which contains the function ternaryplot;
 
−
** [http://www.ggtern.com/ ggtern], an extension to ggplot2.
 
  
  
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==Heatmap==
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==Mosaic plot==
  
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* [https://warwick.ac.uk/fac/sci/moac/people/students/peter_cock/r/heatmap Using R to draw a Heatmap from Microarray Data]
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* [https://www.rdocumentation.org/packages/graphics/versions/3.5.1/topics/mosaicplot mosaicplot] function of R Graphics
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* R packages for creating heatmap
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* ggmosaic package
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** heatmap() [R base function, stats package]: Draws a simple heatmap.
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** [https://cran.r-project.org/web/packages/ggmosaic/index.html ggmosaic: Mosaic Plots in the 'ggplot2' Framework]
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** heatmap.2() [gplots R package]: Draws an enhanced heatmap compared to the R base function.
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** [https://cran.r-project.org/web/packages/ggmosaic/vignettes/ggmosaic.html Mosaic plots with ggplot2]
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** pheatmap() [pheatmap R package]: Draws pretty heatmaps and provides more control to change the appearance of heatmaps.
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* [https://cran.r-project.org/web/packages/vcd/index.html vcd: Visualizing Categorical Data]
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** Heatmap() [[https://bioconductor.org/packages/release/bioc/html/ComplexHeatmap.html ComplexHeatmap] R/Bioconductor package]: Draws, annotates and arranges complex heatmaps (very useful for genomic data analysis)
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** [https://www.jstatsoft.org/article/view/v017i03 The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd]
−
** [https://cran.r-project.org/web/packages/superheat/ Superheatmap]
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** [https://cran.r-project.org/web/packages/vcd/vignettes/residual-shadings.pdf Residual-Based Shadings in vcd]
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** d3heatmap() [d3heatmap R package]: Draws an interactive/clickable heatmap
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* [https://cran.r-project.org/web/packages/vcdExtra/index.html vcdExtra: 'vcd' Extensions and Additions]
 +
** [https://cran.r-project.org/web/packages/vcdExtra/vignettes/vcd-tutorial.pdf Tutorial: Working with categorical data with R and the vcd package]

Latest revision as of 23:28, 23 September 2018

Vaa logo.jpg ISSS608 Visual Analytics and Applications

About

Weekly Session

Assignment

Visual Analytics Project

Course Resources

 



Readings

Core Readings


Optional Readings


R Methods

Diverging Stacked Bar Charts


Mosaic plot

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