Information Visualization Quiz 4 Review

Vocabulary and concepts derived from a Quiz on Information Visualization (IN4MATX 143), covering spatial projections, uncertainty representation, ggplot2 functions, and design principles.

Conformal projection

A type of map projection mentioned in the context of preserving specific properties such as areas or angles during spatial data visualization.

Cartograms

A visual representation of spatial data used in information visualization.

Uncertainty Visualization Strategies

Standard methods for representing data ambiguity, including error bars, confidence bands, and the use of animations.

Graded confidence bands

A visualization tool used in model fits to help a user perceive the uncertainty within the model.

Graded error bars (ggplot2 implementation)

A visual effect in ggplot2 achieved by creating several error bars with different colors.

Principle of proportional ink

A design rule stating that the size of shaded areas must be proportional to the data values they represent.

$$geom\_bin2d()$$

The specific function used in ggplot2 to create 2D histograms.

Jittering

A technique used to help reduce point overlap in a scatter plot.

$$geom\_hex()$$

The ggplot2 function used to create 2D histograms utilizing hexagonal bins.

Visualization-related activities

Core tasks including data transformation, the selection of visual representation, and the creation of a graphical representation.

Qualitative color scale

A color mapping system used for categorical data; the transcript discusses the limitations on the amount of different colors it can effectively have.

Violin plots

A method of plotting numeric data that may have limitations based on the size of the dataset.

Kernel density estimator

A tool used for data smoothing where choosing a reasonable kernel width is a critical step.

Parallel set plots (ggplot2 implementation)

A complex visualization created by importing the ggforce package and calling the $geom\_parallel\_sets()$ function.