Lecture 14
University of Arizona
INFO 526 - Fall 2023
Project 1 feedback is posted
Scores for all assignments so far will be on D2L soon
Project 2 groups have been announced, repos will be assigned by the end of the week
Take a note of the deadlines for the rest of the semester
Present and visualize a technical topic in statistics or mathematics, e.g., Gradient descent, quadrature, autoregressive (AR) models, etc.
Build a Shiny app that that has an Instagram-like user interface for applying filters, except not filters but themes for ggplots.
Create an R package that provides functionality for a set of ggplot2 themes and/or color palettes.
Build a generative art system / Recreate art pieces with ggplot2.
Do a deep dive into accessibility for data visualization and build a lesson plan for creating accessible visualizations with ggplot2, R Markdown, and generally within the R ecosystem.
Create an interactive and/or animated spatio-temporal visualization on a topic of interest to you, e.g., redistricting, COVID-19, voter suppression, etc.
Make a data visualization telling a story and convert it to an illustration, presenting both the computational and artistic piece side by side.
Build a dashboard.
Or… Visualize a (non-TidyTuesday) dataset, answering a research question of interest to you.
Tip
Brainstorm a bunch of ideas and discard them until you settle on a topic that everyone in the team is happy with and feels like a good choice for showcasing what you’ve learned in the class and how you can use that to learn something new and implement for your project.
animatedata - Formula 1 racing
Nicole Rennie - Life Expectancy
Nicole Rennie - Generative Art
Important
The visualizations presented in this lecture are original data visualizations by W.E.B. Du Bois and the captions reflect the language of the time in history.
W.E.B. (William Edward Burghardt) Du Bois (February 23, 1868 – August 27, 1963) was a professor of history, sociology, and economics at Atlanta University and one of the founders of the NAACP in 1909.
Du Bois’s visualizations were part of the Exposition des Nègres d’Amérique (The Exhibit of American Negroes), an exhibit organized by newspaper editor Thomas Junius Calloway.
The goal of the exhibit was to tell the story of African Americans after Emancipation using a variety of items including texts, portraits, and data visualizations.
The exhibit highlighted the progress made by African Americans, and Du Bois, in particular, used data and visualizations to counter the “narrative of Black inferiority” and to humanize the African American experience.
Visualizations and photographs are available in the Library of Congress digital collection.
Data collected by Du Bois’s sociology lab, government reports, and data from the United States Census by Du Bois and his students.
Used to create two sets of visualizations: one focusing specifically on the experience of African Americans in Georgia and one focusing on more national-level statistics and trends
Hand drawn using ink, watercolor, and graphite.
They stood out from other visualizations of the time with their bright colors and modern style, an intentional design choice by Du Bois to make more effectively convey the message to the Parisian audience.
For each of the following visualizations: Review the plot and provide an interpretation for it. Then, identify what is striking as well as features that are in line with common data visualization “best practices” vs. features that don’t conform to them. Discuss whether these help the point being made or not.
“Proportion of Freemen and Slaves among American Negroes”, 1900, via Library of Congress Prints and Photographs Division
“Illiteracy” 1900, via Library of Congress Prints and Photographs Division
“City and Rural Population. 1890” 1900, via Library of Congress Prints and Photographs Division
In February 2021, Allen Hillery, Athony Starks, and Sekou Tyler, started the #DuboisChallenge, and annual online challenge where participants use modern data visualization tools such as R, Python, Tableau, etc. to recreate the data visualizations by W.E.B. Du Bois.
The seven-week challenge included 10 out of the 63 visualizations in the original exhibit. Each week, participants were tasked with recreating one of the visualizations and there were three “bonus” visualization challenges. People used social media to share their recreations side-by-side with the originals using the tag #DuBoisChallenge, and many shared the code they used for the recreation.
The challenge took place again in February 2022 and it was featured in 2021 and 2022 as part of the weekly online data visualization event TidyTuesday (https://github.com/rfordatascience/tidytuesday).
The most prevalent type of visualizations created by W. E. B. Du Bois are bar charts, so the activities (ae-12
) will focus on recreating the following, seemingly simple, bar charts.
Battle-Baptiste, W., & Rusert, B. (Eds.). (2018). W. E. B. Du Bois’s Data Portraits: Visualizing Black America. Chronicle Books.
Recreations of Du Bois’s Data Portraits GitHub repository: github.com/ajstarks/dubois-data-portraits
Starks, A. (2019, August 21). Recreating W.E.B Du Bois’s Data Portraits. Medium. medium.com/nightingale/recreating-w-e-b-du-boiss-data-portraits-87dd36096f34
Starks, A. (2022, February 1). The #DuBois Challenge. Nightingale. nightingaledvs.com/the-dubois-challenge