The DOT (Department of Transportation) has compiled a map of the places with the most aural misery, based on data collected by the Federal Aviation Administration and the Federal Highway Administration. Areas in blue to deep purple are the loudest, light yellowy-orange areas are of the quietest.
Hope this basic wine guide is helpful.
This New York Times articles talk about how Americans think about climate change based on a visualization by Yale. Basically people think climate changes are happening but don't think they will be personally affected. The link for the article is https://www.nytimes.com/interactive/2017/03/21/climate/how-americans-think-about-climate-change-in-six-maps.html?smid=fb-share&_r=0
For the full interactive data map you can choose the scale and which question people are answering, here's the link to the Yale Climate Opinion Maps: http://climatecommunication.yale.edu/visualizations-data/ycom-us-2016/
It took me a while to read the infographics. I just thought that it is interesting this visualization transform bar charts to 3D models. It's just a cosmetic thing though.
A series of lectures in Van Pelt as part of the Rosenbach Lectures in Bibliography
Built in 1962, Van Pelt Library has a collection of more than 2 million volumes and serves nearly a million visitors annually. With a gross area of 230,000 square feet it is the largest of the 15 university libraries. The Penn Libraries are the 23rd largest system in the country, with 6.5 million volumes, 3 million digital images and 37,000 videos. Each year they complete over 50 million loans and transactions. But the libraries are in the midst of radical change.
In this project you’ll work in teams (with help from Penn Libraries’ data group) and use data to visually explore the changing role of the libraries. How has what is offered changed and how have users’ expectations changed? Are libraries still useful? How does the library demonstrate continued relevance? How have users’ engagement evolved regarding subjects, services, formats, media, space, or other factors? What are the trends and what do they mean for the future of the libraries?
Collaborators: Joe Zucca and Andy Sarno (firstname.lastname@example.org), Strategic Initiatives, Penn Library Technology Services; Vickie Karasic, Managing Librarian for the Weigle Information Commons
Readings for March 14
These are very brief fragments (web pages, magazine articles) to get started. They begin to identify issues but are not detailed or complex.
Project 3 Data: from Penn Libraries in Course Folder > Public > Project 3
(example below, feel free to supplement)
Another architectural firm that uses an interactive visual index as the structure of their portfolio.
I recently watched a documentary on the architect Bjarke Ingels, and found that his website has a very programmatic, data visualization style to look at what he has built. It's interactive and very cool to look at as a form of professional data vis.
This visualization provokes a lot of thought out of a simple bar graph by suggesting a connection between a device or application's range of behaviors and the lines of code it took to create it.
The vis gets especially interesting by throwing weird data points in, like the length of a bacterium's genome as compared to a video game or car. There are a lot of points of debate about that comparison and about the way google services are treated, but it remains a compelling representation about how complex technology is becoming.
This project is a website that visualize the data of shot dead by police in 2015. It perfectly visualize the data and has a good interactive effect.
I recently heard about Krisztina Szucs, a data visualization designer from Budapest, and specifically about a project she undertook in 2015 visualizing violence and abuse in different versions of the Little Red Riding Hood tale from different countries and in different languages. In addition to the visualization itself, which ranks each event on by "scary factor", Szucs's site includes a thorough series of drafts showing the progression of the project, which is cool to see.
The Washington Post's graphics department launched a self-proclaimed "unscientific study" of the amount and type of candy eaten from a clear jar housed on an editor's desk.
"Gender, age and status differences can all play a role, as well as how attractive, threatening or annoying the taker perceives the disher to be, and vice versa. [The neuroscientist] said we’d get completely different reactions if, for instance, we replaced [the editor] with a toddler who was cute but looked people in the eyes, a burly biker type or a supermodel."
See more here.