- who are we?
- important info: syllabus, office hours, grades, etc
- Intro to Data Viz
- Why visualization?
August 23, 2022
Instructor of Record: Adriana Picoral (she/her/hers)
Office: Gould-Simpson 829
TA: Tanner Finken (email@example.com)
We will take full advantage of the in-person format, that means you will be working with your classmates during class. Take 5 minutes to get to know someone near you.
Required readings will be available on D2L.
No required textbook, but recommended:
Both are available in digital form from UA library
Anything else we should add to the list?
With a partner, access the syllabus and find:
What other questions do you have?
We will be using Gradescope for assignment submission in this course. Go on D2L and check the link for the first assignment.
Computer-based visualization systems provide visual representations of datasets designed to help people carry out tasks more effectively. Visualization is suitable when there is a need to augment human capabilities rather than replace people with computational decision-making methods.
– Munzner, Tamara. Visualization Analysis and Design (AK Peters Visualization Series)
Discuss with a partner:
Visualization has a long history of presenting data to make a point to a target audience.
Nightingale Rose Diagram: In March 1855 the Sanitary Commission visited the hospital where Nurse Florence Nightingale worked, resulting in a clean up of the hospital’s drinking water and ventilation. Nightingale collected data on deaths before and after the intervention, revealing its impact.
W. E. B. Du Bois’s Data Portraits: Created visual representation of data showing the diversity and breadth of the black presence in America.
Frank Anscombe, “Graphs in Statistical Analysis”
Access github.com/picoral/csc-444-data to look at the data (presented in two formats)
With a partner, try to make sense of the data (using any technology you want). HINT: run descriptive stats, and then try some simple visualization
Share your work with the group
We will be using web technologies to build visualizations in this course: