The Sheridan Libraries

Data Visualization

Guide for technologies, techniques, and best practices for data visualization.

Peter Lawson
Data and Visualization Librarian

Contact:

Data Services

Data to Vis
Using an interactive and visual decision tree, Data-to-Vis will guide you to selecting the appropriate visualization type depending on your data;

Programming Language	Resource
General	Awesome Data Vis: A curated list of awesome open-source data visualizations frameworks, libraries and software.
Python	Python Graph Gallery: A taxonomy of charts in Python, organized by a data characteristics such as correlation, ranking, distribution, etc. along with corresponding code to reproduce each example.
Python	Python Top Visualization Libraries: A comprehensive list of the top visualization libraries available in Python.
R	ggplot2 Visualizations by Category: A master list of ggplot2 visualizations organized by primary purpose. This list can help you find the appropriate visualization to show the relationships you would like to convey or examine.
R	R Graph Gallery: A taxonomy of charts in R, organized by a data characteristics such as correlation, ranking, distribution, etc. along with corresponding code to reproduce each example.
Javascript	Awesome D3: A list of interesting D3.js libraries, plugins and utilities.
	D3 Discovery: An interactive discovery tool for finding D3 plugins.
	D3 Tutorials: A vast collection of D3 tutorials and resources published under the D3 official repository.
	D3 Graph Gallery: A taxonomy of charts in D3.js, organized by a data characteristics such as correlation, ranking, distribution, etc. along with corresponding code to reproduce each example.

Discipline	Visualization Library
Genomics	`karyoploteR` is an R package to create karyoplots, that is, representations of whole genomes with arbitrary data plotted on them.
Genomics	Bioconductor Data Visualization software: Bioconductor provides R tools for the analysis, comprehension, and visualization of high-throughput genomic data.
Statistics	`ggstatsplot` is an extension of `ggplot2` package for creating graphics with details from statistical tests included in the information-rich plots themselves.
Social Science	`ggparliment`implements "parliament plots" - visual representations of the composition of legislatures that display seats colour-coded by party.
Economics	`econocharts` extends ggplot2 to allow for creating microeconomics or macroeconomics charts in R with simple functions.

UW Interactive Data Lab
The UW Interactive Data Lab (IDL) develops interactive systems for data visualization analysis and design. IDL, in its original incarnation as the Stanford Visualization Group was responsible for the Polaris system, which is now available commercially as Tableau. More recently IDL has developed visualization systems to include the interactive Javascript visualization library D3.js and Vega-Lite, a grammar of interactive graphics.