MBD Data Viz -- Session 4.pdf

Data Visualization MBD Session 4 “There is magic in graphs. The profile of a curve reveals in a flash a whole situation – the life history of an epidemic, a panic, or an era of prosperity. The curve informs the mind, awakens the imagination, convinces.” –Henry D. Hubbard Professor Christina Stathopo...

Data Visualization MBD Session 4 “There is magic in graphs. The profile of a curve reveals in a flash a whole situation – the life history of an epidemic, a panic, or an era of prosperity. The curve informs the mind, awakens the imagination, convinces.” –Henry D. Hubbard Professor Christina Stathopoulos, February 2024 Book of the Day Visualize This by Nathan Yau FlowingData Individual Assignment Perform exploratory analysis on the data of your choosing to create data visualizations for each of the core situations: (1) comparing categories, (2) showing hierarchies, (3) analyzing temporal changes, (4) making connections & relationships and (5) mapping geospatial data. Must be completed in Looker Studio. Make note of why that is the best visualization for the data and any relevant design elements that you used (e.g. Pre-attentive attributes, Gestalt, etc.). DUE: March 5. It must be uploaded to the designated assignment block by midnight on the day before Session 10. NOTE: You can use one, large dataset that can cover every purpose OR multiple datasets aligned with different visualizations. Session 4 Agenda Data Viz Leader Presentations The Future of Data Viz Group Activity The Good, the Bad & the Ugly Data Viz Leader Presentations Pioneers that paved the way for modern-day data viz ► Data Viz Inspiration to Follow Today Nadieh Bremer Visual Cinnamon Kate Strachnyi DATAcated Zack Mazzoncini Data Story Academy Roshaan Khan Tableau Featured Author The Future of Data Viz Generative AI & More How might Generative AI impact Data Visualization? Break out into your groups and discuss. We will then come back together as a class to share ideas. How might Generative AI impact Data Visualization? https://twitter.com/emollick/status/1658537599797977091?t=WvlVq1fcaqiUeXNDRg1KxQ&s=09 The Future of Data Visualization 1 2 3 Potential to make data and data visualization even more accessible and captivating (in the same way that lowcode / no-code tools have done). Entirely new types of visualizations that represent data in the clearest way possible will appear, even interactive through VR/AR data environments. Humans still remain at the core; human touch will still be needed to appropriately interpret and understand the context while keeping the output in check. Always remember… Something else to keep in mind….. Data visualization involves much more than visualizing the data itself, what comes before? Creating perceived value in a data viz project Data Preparation vs Data Visualization Time Spent 80% 20% Creating perceived value in a data viz project Data Preparation vs Data Visualization Perceived Value 20% 80% Time Spent 20% 80% Creating perceived value in a data viz project Data Preparation vs Data Visualization Perceived Value 20% 80% Time Spent 20% 80% Most audiences will not care how long you spent with the data. They will only care about what is presented visually at the end & what they understand from it. ► Extras ► Extras The Good, the Bad & the Ugly Reddit Data is Ugly Data is Beautiful Group Assignment The Good, the Bad & the Ugly à Find an ugly graph at reddit.com/r/dataisugly and explain what is wrong (site design principles from our course such as data-ink ratio, preattentive attributes, Gestalt Principles, color theory, etc). Then make a proposal on how you would improve the graph. àFind a beautiful graph at reddit.com/r/dataisbeautiful and explain what design principles it is using to be effective, as well as what message it is trying to communicate. Pre-work Set up Guide for next class link The world is one big data problem. Feel free to stay in touch! Any questions? What are you going to do about it?