Explore Your Data
Viewing data can help reveal trends and outliers that may lead to new questions and discovery. For example, in Anscombe's Quartet, four sets of numbers appear similar in table form, and basic calculations of mean and variance show no differences. Visualizing however, reveals distinct trends in the data.
Communicate Your Data
Charts and graphs are an essential part of publishing your research, and it is important that they efficiently and effectively communicate the data to readers in the research community. A growing number of computer tools can help you build effective and attractive visualizations for your publications. Data Viz skills can help you quickly communicate the information your audience needs with a minimum of extraneous visual information.
Here are some websites that may be of help:
Coblis: Upload an image and see how it may look with common types of color-blindness
ColorBrewer: Receive recommendations for color gradients that will be visible both in gray scale and with the color blind
Information Is Beautiful: A blog of visualizations for inspiration
Flowing Data: A blog of visualizations for inspiration
Data Viz Catalogue: A table of chart types that can be searched by what you are trying to describe
MulinBlog: A curated guide to websites on data visualization, including history, chart selection, design and general tips from a data journalist, Mu Lin.
Keshif.me Data Visualization Tools: A display of different data visualization software and code tools with information on what types of data are compatible.
A large and growing amount of software tools can help you create your visualizations. Here are a few that may be of use to you:
The library is available to offer consultations on visualization design best practices, choosing a type of chart or graph, and appropriate tools for your project. We are also available to lead small courses on visualization best practices and certain specific tools.