This 90-minute workshop covers key design principles you should consider when planning or storyboarding your visualizations — from choosing the optimal visualization type for your data to the effective use of color, text, and spacing.
In this hour-long, hands-on workshop you'll use a sample dataset to create several different types of visualization using Tableau. You'll also learn how to combine graphs together to create interactive dashboards and how to create stories from the data.
This is a hands-on workshop for users who know the basics of Tableau and want to make more complicated visuals. You’ll learn how to combine datasets, make multidimensional scatterplots with simple fit lines, create simple animated datasets, and more.
This hands-on workshop provides an introduction to the popular ggplot2 R graphics package. It will cover how to create a wide variety of graphical displays in R, using techniques such as layering, mapping variables to aesthetics, working with scales, faceting, and themes.
This hands-on workshop will help participants integrate RESTful APIs into their data processing workflows. We'll look at how to query the Harvard Art Museums API to get metadata about the most popular images in their collections and exhibits, use the International Image Interoperability Framework (IIIF) Image API to manipulate the image files, and use the Omeka API to push information into our own collection of digital objects.
In this hands-on workshop, you’ll learn how to make unconventional visualizations that are otherwise hard to make, such as Sankey diagrams, circular visualizations, and flow diagrams (see the RAWGraphs gallery for more examples). After this workshop, you'll understand some advantages and limitations of using free online visualization tools like RAWGraphs.