Data visualizations help us identify trends and communicate information about large datasets. This workshop introduced users to the basics of using Tableau Public, a free and easy-to-use data visualization tool. We reviewed how to import data, navigate the Tableau interface, and create simple visualizations for publishing and sharing online.

Dashboard published using the Eviction Lab data, displaying a choropleth map of eviction filings from 2020 to present

Interested in working with large volumes of published content from news, scholarly and other publications? Constellate and Proquest TDM Studio are library services that allow researchers to mine data from a variety of sources and start visualizing, analyzing, and exporting data right away. In this workshop, we compared these two platforms, perform searches, and learn about text analysis more generally.

Slide entitled "Analyzing and Visualizing Text with Constellate and TDM Studio." Title is framed with two yellow corners of a square (upper left and upper right.) In the lower right corner of the frame is the Research Data and Digital Scholarship Data Jam logo

Wrangling your data with various tools allows you to restructure information so that it can be easily understood by people and analyzed by machines. Want to efficiently clean your data? In this workshop, we worked with OpenRefine, a powerful tool for working with data. Watch the tutorial to learn more about tidying your data, transforming it from one format to another, and extending it with various web services. This workshop is part of the (Open) Data Jam hosted by the Libraries' Research Data and Digital Scholarship unit.

A slide entitled 'The Data Wrangling Process.' The slide displays a line with six points on it, from left to right: Discovering, Structuring, Cleaning, Enriching, Validating, and Publishing. Each term also includes a description.

RDDS is excited to share a new GitHub repository of Collections as Data notebooks at Penn Libraries! These notebooks contain tutorials and examples designed to facilitate engagement with library collections data available in Colenda, while learning about Python as a tool for data manipulation. Learn more from Emily Esten on the inspiration and development of these notebooks.

Billhead; Heyman Brothers and Lowenstein; New York, New York, United States; 1881 September 27