Difference between revisions of "Lesson05"
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==Diverging Stacked Bar Charts== | ==Diverging Stacked Bar Charts== | ||
| − | * R | + | * [https://www.rdocumentation.org/packages/graphics/versions/3.5.1/topics/mosaicplot mosaicplot] function of R Graphics |
** [https://cran.r-project.org/web/packages/Ternary/index.html Ternary], which employs the native plot functions; | ** [https://cran.r-project.org/web/packages/Ternary/index.html Ternary], which employs the native plot functions; | ||
** [https://plot.ly/r/ternary-plots/ Plotly], which uses a bespoke suite of plotting functions; | ** [https://plot.ly/r/ternary-plots/ Plotly], which uses a bespoke suite of plotting functions; | ||
Revision as of 22:38, 23 September 2018
ISSS608 Visual Analytics and Applications
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Contents
Readings
Core Readings
- Visualizing Survey Data
- Mosaic Plots
- Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications
- Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project
Optional Readings
- Visualizing Survey Data from Data Revolution
- Do not use averages with Likert scale data
- Visualizing Contingency Tables
- Multivariate Categorical Data-Mosaic Plots
- Understanding Area Based Plots: Mosaic Plots
- Mosaic Plots and Their Variants
- Social Factors That Influence Use of ICT in Agricultural Extension in Southern Africa
- Visualizing Defect Percentages with Parallel Sets
- Parallel Sets vs. Mosaic Plots (Take I)
- Discovery Exhibition: Parallel Sets
R Methods
Diverging Stacked Bar Charts
- mosaicplot function of R Graphics
Heatmap
- Using R to draw a Heatmap from Microarray Data
- R packages for creating heatmap
- heatmap() [R base function, stats package]: Draws a simple heatmap.
- heatmap.2() [gplots R package]: Draws an enhanced heatmap compared to the R base function.
- pheatmap() [pheatmap R package]: Draws pretty heatmaps and provides more control to change the appearance of heatmaps.
- Heatmap() [ComplexHeatmap R/Bioconductor package]: Draws, annotates and arranges complex heatmaps (very useful for genomic data analysis)
- Superheatmap
- d3heatmap() [d3heatmap R package]: Draws an interactive/clickable heatmap
