Difference between revisions of "Lesson 7"
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* [https://search-proquest-com.libproxy.smu.edu.sg/docview/1750838449?rfr_id=info%3Axri%2Fsid%3Aprimo A Graphical Display of Large Correlation Matrices] | * [https://search-proquest-com.libproxy.smu.edu.sg/docview/1750838449?rfr_id=info%3Axri%2Fsid%3Aprimo A Graphical Display of Large Correlation Matrices] | ||
* [https://search-proquest-com.libproxy.smu.edu.sg/docview/228501277?rfr_id=info%3Axri%2Fsid%3Aprimo Corrgrams: Exploratory Displays for Correlation Matrices] | * [https://search-proquest-com.libproxy.smu.edu.sg/docview/228501277?rfr_id=info%3Axri%2Fsid%3Aprimo Corrgrams: Exploratory Displays for Correlation Matrices] | ||
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* [https://en.wikipedia.org/wiki/Ternary_plot Ternary Plot] | * [https://en.wikipedia.org/wiki/Ternary_plot Ternary Plot] | ||
* [https://link-springer-com.libproxy.smu.edu.sg/content/pdf/10.1007%2F978-3-540-33037-0_8.pdf Multivariate Data Glyphs] | * [https://link-springer-com.libproxy.smu.edu.sg/content/pdf/10.1007%2F978-3-540-33037-0_8.pdf Multivariate Data Glyphs] | ||
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* [http://csmgeo.csm.jmu.edu/geollab/fichter/Sedrx/readternary.html Reading a Ternary Diagram] | * [http://csmgeo.csm.jmu.edu/geollab/fichter/Sedrx/readternary.html Reading a Ternary Diagram] | ||
* [http://www.ifs.tuwien.ac.at/~silvia/wien/vu-infovis/articles/Inselberg-InfoVis97.pdf Multidimensional Detective] | * [http://www.ifs.tuwien.ac.at/~silvia/wien/vu-infovis/articles/Inselberg-InfoVis97.pdf Multidimensional Detective] | ||
| − | * [ | + | * [https://eagereyes.org/techniques/parallel-coordinates Parallel Coordinates] |
* [http://www.perceptualedge.com/articles/b-eye/parallel_coordinates.pdf Multivariate Analysis Using Parallel Coordinates] | * [http://www.perceptualedge.com/articles/b-eye/parallel_coordinates.pdf Multivariate Analysis Using Parallel Coordinates] | ||
* [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] | ||
Revision as of 22:36, 3 October 2019
IS428 Visual Analytics for Business Intelligence
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Visualising and Analysing Multivariate Data
Contents
Content
- Introduction to Multivariate Data
- Trellis
- Correlation Matrix
- Ternary Plot
- Glyphs or Star Plot
- Heatmap
- Parallel Coordinate Plot
- Treemap
Readings
Core Readings
- An Introduction to Visual Multivariate Analysis
- The scatter-plot matrix: a great tool
- A Graphical Display of Large Correlation Matrices
- Corrgrams: Exploratory Displays for Correlation Matrices
- Ternary Plot
- Multivariate Data Glyphs
- Parallel Coordinates
- Wikipedia: Heatmap
- Mosaic Plots
- Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project
- TableLens: A Clear Window for Viewing Multivariate Data
Optional Readings
- Ternary Diagram
- Reading a Ternary Diagram
- Multidimensional Detective
- Parallel Coordinates
- Multivariate Analysis Using Parallel Coordinates
- Understanding Area Based Plots: Mosaic Plots
- Visualizing Defect Percentages with Parallel Sets
- Parallel Sets vs. Mosaic Plots (Take I)
- Discovery Exhibition: Parallel Sets
R Methods
Ternary Plot
- R packages for creating ternary plot
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
