Lesson08
ISSS608 Visual Analytics and Applications
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Visualising and Analysing High-dimensional Data
Contents
Content
- Introduction to High-dimensional Data
- Bivariate Matrix
- Trellis
- Correlation Matrix
- Correlogram
- Multivariate Data Visualisation
- Ternary Plot
- Glyphs or Star Plot
- Heatmap
- Parallel Coordinate Plot
- Space-constrained visualization of hierarchies
- Treemaps
- Sunburst diagram
Readings
Core Readings
Multivariate Methods
- An Introduction to Visual Multivariate Analysis
- Corrgrams: Exploratory Displays for Correlation Matrices
- Ternary Plot
- Multivariate Data Glyphs
- Parallel Coordinates
- Wikipedia: Heatmap
Treemaps
- Shneiderman, Ben (2008) Treemaps for space-constrained visualization of hierarchies (http://www.cs.umd.edu/hcil/treemap-history/)
- Extending the Utility of Treemaps with Flexible Hierarchy
Optional Readings
Multivariate Methods
- The scatter-plot matrix: a great tool
- A Graphical Display of Large Correlation Matrices
- Ternary Diagram
- Reading a Ternary Diagram
- Multidimensional Detective
- Parallel Coordinates
- Multivariate Analysis Using Parallel Coordinates
Treemaps
- Treemaps
- Discovering Business Intelligence Using Treemap Visualization
- 10 Lessons in Treemap Design
- Bederson, Benjamin B.; Shneiderman, Ben; Wattenberg, Martin (2002). "Ordered and quantum treemaps: Making effective use of 2D space to display hierarchies". ACM Transactions on Graphics. 21 (4): 833.
- Bruls, Mark; Huizing, Kees; van Wijk, Jarke J. (2000). "Squarified treemaps". In de Leeuw, W.; van Liere, R. Data Visualization 2000: Proc. Joint Eurographics and IEEE TCVG Symp. on Visualization
- US Economic Census Treemap
- TreeCovery: Coordinated dual treemap visualization for exploring the Recovery Act
- Juice's Stimulus Bill Explorer
- Fundexplorer
- Map of the Market
- The HIVE Group
- Truck Sales Slip, Tripping Up Chrysler
- Newsmap
- Obama’s 2011 Budget Proposal: How It’s Spent
R Packages
Correlation Matrix
- ggscatmat and ggpairs of GGally
- corrplot. A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering. In addition, corrplot is good at details, including choosing color, text labels, color labels, layout, etc.
- corrgram calculates correlation of variables and displays the results graphically. Included panel functions can display points, shading, ellipses, and correlation values with confidence intervals.
Heatmap
Static heatmap - [https://www.rdocumentation.org/packages/stats/versions/3.6.0/topics/heatmap heatmap()of R stats package. It draws a simple heatmap. - [heatmap.2()](https://www.rdocumentation.org/packages/gplots/versions/3.0.1.1/topics/heatmap.2) of **gplots** R package. It draws an enhanced heatmap compared to the R base function. - [pheatmap()](https://www.rdocumentation.org/packages/pheatmap/versions/1.0.12/topics/pheatmap) of [**pheatmap**](https://www.rdocumentation.org/packages/pheatmap/versions/1.0.12) R package. **pheatmap** package also known as Pretty Heatmap. The package provides functions to draws pretty heatmaps and provides more control to change the appearance of heatmaps. - [**ComplexHeatmap**](https://bioconductor.org/packages/release/bioc/html/ComplexHeatmap.html) package of R/Bioconductor package. The package draws, annotates and arranges complex heatmaps (very useful for genomic data analysis). The full reference guide of the package is available [here](https://jokergoo.github.io/ComplexHeatmap-reference/book/). - [**superheat**](https://cran.r-project.org/web/packages/superheat/) package: A Graphical Tool for Exploring Complex Datasets Using Heatmaps. A system for generating extendable and customizable heatmaps for exploring complex datasets, including big data and data with multiple data types. The full reference guide of the package is available [here](https://rlbarter.github.io/superheat/).
Treemaps
- Treemap Package
- Creating a Treemap in R
- treemap: mapping to color palettes
- Simple Steps to Create Treemap in R
- treemapify: Draw Treemaps in 'ggplot2'
- Introduction to treemapify
- Interactive visualization with R-Shiny versus with Tableau: Treemaps
