Digital Scholarship is happy to announce a series of 6 data-related workshops throughout Spring 2020. As the 2020 census will be launched on April 1st, our workshops are designed to increase awareness and understanding of the importance of the census, building data skills of using, managing and visualizing census data and other data sources in social science. We hope you can join us! All events will be held in the Digital Studio (O’Neill Library 205). Please register for each event using the corresponding link.
Author Archives: Allison Xu
February 2019 Data Visualization Display @ O’Neill Library
For the rest of January through February, the O’Neill Library digital display (by the POP collection) will showcase a selection of data visualizations that covers a variety of topics, including health, politics, immigration as well as food. Each source is linked to the original site where you can further explore the associated data, visualization, or literature.
The beginning of a year is always a good time to look back at the past year. 2018 will be remembered in many ways, one thing that reminds us about 2018 is the midterm election which has been one of the most popular topics in the media for quite a while. The visualization by Bloomberg maps the 2018 election for the House, Senate and Governor races. The data provided is extensive and impeccably organized by the three races which can be further broken down by state, races with women, open races, key races, committee chairs, and flipped seats. The map combines a lot of information into one single map in that users can change the view from cartogram to map, and switch between the elections and states easily.
Do you like coffee? If so, you will probably find this visualization interesting. Nitin Paighowal visualizes the world’s “Coffee Bean Belt,” which shows areas with the most coffee production. He shows which nations produce the most coffee according to coffee varieties. The visualization was originally created in Tableau and published on Tableau Public. Because of the high popularity, it has been selected as one of the best visualizations of 2018 in Tableau Public Gallery.
Powerful data visualization can translate complex information into beautiful visual representations for storytelling. Rhythm of food, a visualization project, created by Google News lab in collaboration with Truth & Beauty, charts 12 years of food related search trends based on Google search data. They collected weekly google trends data for hundreds of dishes and ingredients over 12 years, and plotted the results on a year clock to discover the interplay between seasons, years, holidays and rhythm of food around the world.
Food trends across the country
When it comes to restaurants, every US city has its own favorite(s). Have you ever wondered what the most popular local cuisine is when you travel to a new city? A visualization by Google News Lab and design studio Polygraph will answer your question with a map. In this visualization, you will find out that Boston ranked No.2 for Pizza and No.4 for Burger out of all US cities.
Another visualization that we found was also created with Google search data. Google News Lab, collaborated with Schema and Alberto Cairo to create “Searching for Health”, a visualization that tracks the top searches for common health issues in the United States, from Cancer to Diabetes, and compares them with the actual location of occurrences for those same health conditions. By using data from both Google Trends API and the Center for Disease Control and Prevention (CDC), the visualization allows the reader to find potential geographic relationships between those who search and the actual prevalence of health conditions across the country.
The Simulated Dendrochronology of U.S. Immigration 1790-2016
America is a nation of immigrants, Simulated Dendrochronology of US Immigration visualizes the history of immigration to the United States over the past two centuries. The visualization was created by Pedro Cruz, John Wihbey, Avni Ghael, and Felipe Shibuya from Northeastern University. Data was collected from IPUMS-USA which contains Census data from 1790 to 2016. Pedro Cruz explains the method for creating this visualization in his paper: “Process of Simulating Tree Rings for Immigration in The U.S. A video version of this visualization is also available.
This month’s data visualization blog post was written by Allison Xu (Data and Visualization Librarian). The visualization display was curated by Allison Xu and Anna Kijas (Digital Scholarship Librarian).
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