Data + Visualization Lab

We’ve moved and we’re open - here’s what you need to know

The Health Sciences Library is now open in the connected Health Sciences Education Center and Phillips-Wangensteen Building. The library is open to Twin Cities students, faculty, and staff with valid U Cards. (Last updated April 16, 2021)

The Data + Visualization Lab provides computing tools and expertise to develop and apply data science and visual communication skills. The space is free to all U of M Twin Cities faculty, students, and staff.

Learners at all skill levels can visit the Data + Visualization Lab to:

create charts and figures with data,
develop visuals to explain complex topics,
use specialized statistical and data analysis tools,
and learn how to manage and share data.

Data + Visualization staff offer help with projects from idea to creation to project refinement.

Connect online with an expert

Upcoming Data + Visualization Workshops

Workshops are free of charge on a first come, first-served basis. Registration requested.

Advanced Data Visualization with Excel

April 21, 1:00 p.m. to 2:00 p.m.
Online workshop

Programming & Pizza

May 10, noon to 1:00 p.m.
Virtual Event

Recent Data + Visualization news

Infographic on the cost of the contingent workforce

The Data + Visualization Lab helps researchers communicate complex information with infographics

Students in Karen Monsen’s Doctorate of Nursing Practice course further their informatics specialization by collaborating with the Health Sciences Library to receive training on developing infographics to distill complex information so they can share research findings with a broader audience - like this visualization of the cost of using contingent workforce by DMP student, Jet Role.

‘Librarians can not only help you find resources but can also help you shape and refine your project.’

U of M undergrad Louisa Botten researched a 17th century apothecary inventory during her internship at the Wangensteen Historical Library. Read how Botten combined this historical text with modern technology to create an award-winning online exhibit that exemplifies that power of data visualization.