Lesson04
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ISSS608 Visual Analytics and Applications
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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
- GPLOM: The Generalized Plot Matrix for Visualizing Multidimensional Multivariate Data
- 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
- 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
Heatmap
- R packages for creating ternary plot
- Ternary, which employs the native plot functions;
- Plot-ly, which uses a bespoke suite of plotting functions;
- vcd, which contains the function ternaryplot;
- ggtern, an extension to ggplot2.
