Project Showcase


For our final visualization we built an A/B testing dashboard that displays the results of a currently running test, alongside contextualized data to indicate if a test is running above or below average (compared to sites running the same test with the same goals). By focusing on non-profits, and providing specific testable suggestions, we can aggregate results for each suggestion to provide guidelines that indicate whether each user’s test is running above or below average.
  • Arthur Suermondt
  • Jeff Zych


Stufte is a visualization of restaurants in Yelp’s Academic Dataset. It’s an interactive map that allows students to choose between 28 universities, look at Yelp review trends, and browse restaurants near campus. It displays star averages and review counts for businesses directly on the map, and allows users to filter by neighborhood and average rating. The goal of the project is to demonstrate potential improvements to Yelp’s map view and to help students find food around campus in an easy and efficient way.
  • Arthur Che
  • Gilbert Hernandez
  • Michael Hintze
  • Ryan McAdam

Acopio Movil

Acopio Movil provides an interactive visualization that answers key questions for the managers of agricultural cooperatives in the developing world. The end result is a fully-functioning, relatively lightweight data dashboard that serves the needs of cooperative managers with regard to quickly assessing the progress of a harvest.
  • Ariel Chait
  • Paul Goodman

Delorean Mail

Delorean Mail is an innovative take on email visualization. Delorean analyzes your gmails and then surfaces your top 10 email contacts. When you choose a contact, a personalized infographic is generated which tells a story about you and your contacts. It starts with your first email together, ends with your last email, and covers the highlights in between. In a market full of email dashboards and productivity tools, Delorean Mail delivers meaning, perspective, and fun—taking you beyond the chore of email by surfacing forgotten memories. Delorean Mail delivers a refreshing blast from your email past.
  • Ariel Haney
  • Sebastian Fuenzalida

Commercializing technology in the Bay Area

The Bay Area is a world research powerhouse, and money flows in to turn ideas into technology and enterprise. We looked at research and commercialization through R&D expenditures, venture capital investments and grants through the Small Business Innovation Research program. Silicon Valley has dominated in turning research into profitable companies over the last several decades, while the East Bay has lagged in capitalizing on the innovative research at UC Berkeley. In fact, much of the research in the East Bay is ultimately commercialized in Silicon Valley. However, the East Bay is beginning to emerge as a standout in clean technology and energy.
  • Matt Chwierut
  • Naehee Kim
  • Alden Woodrow


This Information Visualization class project is part of a master’s project, which itself is part of a larger on-going project. The Master’s Project is an experiment to determine whether extracting a meaningful corporate social responsibility score from Twitter analytics is possible, and if so, how to do so. We used an “Echo” score to assess and rank companies in this area. The Echo score reflects the level of corporate social responsibility, or CSR, of a company as the public perceives it.
  • Iris Cheung
  • Chloe Reynolds
  • Saghar Tamaddon

Mixed Feelings

Public opinion polls traditionally ask people whether they feel positive  or negative  about an issue. Yet researchers have long acknowledged that people can have both positive and negative feelings about an issue. In other words, people can have mixed feelings. Our visualization shows the diversity of opinions behind such simplified reporting measures facilitating a more nuanced, and hopefully more insightful, discussion of public opinion.

  • Galen Panger
  • Bryan Rea
  • Allie Wang

Public Radio Listener Habits

Our project visualizes a survey of the habits of public radio listeners, supplemented with industry data about public radio consumption. The visualization takes the form of a web-based slideshow with interactive charts. The slideshow illustrates a narrative about evolving radio consumption habits.
  • Bailey Smith
  • Anne Wootton

SF Shoots!

SFShoots is a data visualization showing the locations and film information of major Hollywood films shot in and around the San Francisco area since the beginning of the film industry. The story behind the visualization is twofold: (1) Show the substantial increase of films shot in the San Francisco area over the decades from 1910’s to the 2000’s and (2) Show the popular locations where films of a particular genre are shot at.
  • Natarajan Chakrapani
  • Kuldeep Kapade
  • Arian Shams
  • Samuel Tokheim


This visualization is part of our final master’s project. We were already working with articles and comments as our corpus. The data visualization aspect gave us a chance to explore our data from another perspective. Our dataset consists of scraped articles and comments from three websites, Mashable, Wired and Engadget. We have data for a few weeks worth of content. For each website we are able to identify total number of articles, total number of comments, when articles and comments were posted, and derivatives of this data.
  • Ram Joshi
  • Walter Koning
  • Chulki Lee

Landmarks and Landmines

Citation networks and case “family trees” for federal court cases.
  • Rowyn McDonald
  • Karen Rustad

How Much?

Total Amount of Money Given by the United States to Foreign Countries (1960-2010)

For our project, we looked at the total amount of economic foreign aid the US has given to countries around the world, starting from 1960 to 2010. In addition to looking at the amount being donated and who was receiving money, we also looked at Google’s news archive to find top stories for that year. We were curious to see if top news stories could tell us “Why” money was being donated.
  • Sean Chen
  • Rui Dai
  • Lizzy Ha
  • Aijia Yan


Our visualization is a representation of an individual’s performance over time of CrossFit workouts. CrossFit is a circuit-based strength and conditioning workout regimen. CrossFit members are extremely methodical about recording their workouts, so as to see improvement in their performance. The nature of CrossFit workouts, however, makes it difficult to compare scores. Thus, it is difficult to visualize improvement. This is because workouts are comprised of the combination of different exercise movements, with varying repetitions, weight loads, distances, and time. Our goal was to come up with a unique measurement that would essentially allow us to compare apples and oranges. Our visualization would help CrossFit members track their performance and see their improvement over time.
  • Andrew Chao
  • Philip Foeckler
  • Elliot Nahman
  • Laura Wishingrad

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