INFM 603: Information Technology and Organizational Context Jimmy Lin The iSchool University of Maryland Wednesday, April 2, 2014 Session 9: Visualization.

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Presentation transcript:

INFM 603: Information Technology and Organizational Context Jimmy Lin The iSchool University of Maryland Wednesday, April 2, 2014 Session 9: Visualization Material borrowed from slides by Ben Shneiderman for his visualization course

Visualization Why visualizations? Human perceptual skills are remarkable Human image storage storage is fast and vast What are visualizations for? A good visualization tells a story A great visualization delivers insight Science as well as an art…

Raw Ingredients Types of data Categorical data Ordinal data Numerical data Ways of representing data Height Width Thickness Area Angles Size Shape Color

Static vs. Interactive Interactive visualizations allow users to “explore” the data Overview Zoom and filter Details-on-demand Brushing and linking is a powerful technique

Info Porn Informative visualizations vs. info porn Beware of infographics and chart junk

Compare: New York Times interactive visualizationNew York Times interactive visualization

Line Graphs (+ Variants) Suitable for what types of data? What makes a good line graph?

Stacked Graphs Multiple time-series data “stacked” on top of each other Useful for showing aggregates Sometimes called “stream graphs”

Small Multiples Multiple small graphs arranged in a grid Advantages and disadvantages?

Spark Lines

Bar Graphs (+ Variants) Suitable for what types of data? Following examples from d3.js

Scatterplots Suitable for what types of data? Note availability of other ways to encode data at points

Pie Charts (+ Variants) Suitable for what types of data? Different ways for labeling

More Chart Junk

Sunburst Trees

Icicle Diagrams

Visualizing Hierarchies

TreeMaps Useful for representing hierarchical relationships Two mechanisms for coding information: Size and Color Physical location of boxes not usually meaningful Requires learning to read

Market mixed, February 8, 2008: Energy & Technology up, Financial & Health Care down

Market rises 319 points, November 13, 2007: Five exceptions

Heatmaps Data represented in a matrix Matrix values are code coded

Miguel Rios and Jimmy Lin. Visualizing the “Pulse” of World Cities on Twitter. ICWSM 2013.

Choropleth Maps

Small Multiples vs. Animations Advantages and disadvantages?

Visualizing Networks Types of networks: social networks, interaction networks, biological networks, computer networks, etc. Standard algorithm uses force-directed layout