Archive-It Visualization
Screencast of Archive-It Visualization Prototype (4 mins)
CS 795/895 Applied Visual Analytics, Spring 2013
Mat, Chaitu, Ibrahim
 | What you consume can kill you, or at least have an effect on how long and well you live. In this paper we put aside other attributes that have an effect on your lifespan and focus on diet. We created and will describe a form-based graphical visualization that allows a user to enter his traits and dietary habits to have an estimate generated for the time left to live and the quantity of time each diet attribute has on lessening this number. |
Wayne, Phani, Ranjith
 | In the second 2010 VAST Mini-Challenge, a ficticious disease has reached epidemic levels across the world. Our goal was to describe the spread of the disease, and compare the outbreak across cities. For each city, two data files were supplied. One included hospital admittance records. Thise file listed the age, gender, identification number, and symptoms for each patient admitted to a hospital. The second file listed the identification numbers and dates that patients died. Our visualization compares the outbreak across the cities over time. Cities are plotted based on the number of infections, number of deaths, and the mortality rate. An information section is included at the bottom which lists more detailed statistics for each city. This section breaks down infections, deaths, and death ratio on gender and age group. |
Andrew S., Mohan, Ujwal (Where Shall I Stay, Like Me)
 | This project focusses on attitudes and perception of citizens regarding topics of local interest such as transportation and traffic, health, crime and other issues. We present a map of Hampton roads with zip code borders and for each zip code we pull up statistics about crime, traffic and demographics using bar charts. |
Ben, Adarsh, Rahul
 | Life In Hampton Roads is phone survey conducted for the years 2010, 2011 and 2012 in Hampton Roads. Data Cleansing is done with the help of tools like Excel and Google Refine The survey data is shown using visualization technique making it more interesting to understand public opinions on a particular question. Visualizations are created by using various tools like D3, Javascript, JQuery and HTML. The visualizations implemented in the project are reader-driven and exploratory. |
Andrew W., Timothy, Harshith
 | Surrounding the citizens of Hampton Roads are vast and varying opinions on the area in which we live. The demographic nature of a military-based region, complete with a metropolis, sprawling suburbs, and an oceanfront resort, is perceived to be quite diverse and complex. An ongoing survey entitled “Life in Hampton Roads (LIHR)”, performed at Old Dominion University in Norfolk, VA and led by Dr. Tancy Vandecar-Burdin, aims to “develop of baseline of social/economic indicators for use by local government and other community orgnanizations.” In an effort to more clearly visualize the outcomes of this survey, we have applied common InfoVis techniques to develop a simple application that displays the data in a more human-friendly fashion. |
CS 795/895 Information Visualization, Fall 2012
All groups investigated emerging trends in quantum sensing. For more info, see the Infographics Contest page.
Lulwah and Mostafa
 | In this project, we were interested in predicting emerging technology trend in quantum sensing. For the project, we were provided with datasets of publication related to quantum sensing. The data initially gathered by searching "Term of Keyword" related to quantum sensing. The initial dataset has 70 papers related to different field of quantum sensing. The dataset contains title, abstract, year of publication, authors and keyword index. During the project we have extended the dataset by addition following contents; affiliation of the author and the content of paper if it was available to public. In addition, we extracted the keywords from the dataset that are related to quantum sensing. As like many visualization project, In this project, we had to deal with the challenges of cleaning, filtering and organizing the actual raw data. At the beginning of the project we had to do lot of manual cleaning and filtering of the data. Later we use organize the extracted data into several parts in order to make it useful for visualization. |
Liang
 | Before investing time, funding and valuable resources in a research area, researchers and investors need to be prepared with a good understanding of its development and growth trends, including detecting growth patterns, identifying interesting exceptions or changes, and predicting potential future via analyzing a large number of statistical data. A good visualization can effectively facilitate these tasks and transform data into useful information. In this project, I apply powerful visualization techniques and design principles to implement an interactive visualization for analyzing development trend of quantum sensing technologies. The visualization abstracts interesting information from a large-scale dataset and clearly represent the data. Interaction methods are adopted also, which allow users to zoom and filter, highlight and query more detailed information. Researchers and scientists can take advantage of this visualization to obtain insights as where and when the quantum sensing research started, how a specific research topic is developed, and what is the potential future of a research topic. Based on the visualization results, users can get clues for investment decisions. |
Abhishek and Ben
 | Often data provides much information regarding itself than we can infer. Many times we cannot gain insight about the data by just looking at it. It hides some of the information. So, need arises to visualize the data, where we can gain insight about the data itself. As gaining insight about the data is the main purpose of visualization, we thought of visualizing the data. This is where the words of Ben Shneiderman comes to my mind, “The purpose of visualization is insight, not pictures”. Our goal was to visualize the data i.e., the papers on a world map. |
Mat
 | One method to find trends in any industry is to examine the publications related to that industry. Given a set of publications, one should be able to extrapolate trends based on solely on the publications’ metadata, e.g., title, keywords, abstract. For one to analyze text data to determine trends is daunting, so another method should be used that analyzes this data and presents it in a way that can be easily consumed by a casual user. This casual user should be be able to achieve the goal of identifying trends in the respective industry. In this paper I have created a visualization that examines a small corpus consisting of metadata (BibTeX) about a collection of articles related to Quantum Sensing. Based solely on this data, I am able to provide an interface that allows a user to explore this data and conclude many attributes of the data set and industry, including finding trends. |
Andrew S.
Wayne
 | In this paper, I present a visualization for displaying the history and trajectory of quantum sensing. History is shown as a year-by-year slideshow. The most publicized quantum sensing areas for the selected year are displayed. Clicking on a topic shows the amount of publications on that subject over time. This allows users to see when a subject started to rise in popularity, and at what point in time (if any) it started to decline. The visualization also shows which research groups have the most publications for the selected subject. The final slide in the visualization is a projection for the year 2025 to show where quantum sensing is headed in the future. |
Andrew W.
 | The United States Air Force is interested in detecting new trends in technological research, namely Quantum Sensing. In many cases, the most effective way to boost a project dealing with data analysis is to visualize the data at hand, which entails seven steps: acquisition, parsing, filtering, mining, representation, refining, and interaction. Throughout these steps one can turn a set of raw, unreadable data into a useful visualization that can depict trends, stories, relationships, and sometimes all of the above. I propose a tool that will allow the Air Force to determine which fields of research are popular, detailed with trends per year and field. |
CS 795/895 Information Visualization, Fall 2011
Exploring the World's Earthquake Data (Ahmed and Kumar)
 | We present new ways to look at the raw earthquake data from 1900 up to 2011 using interactive JavaScript maps and charts. Based on our generated visualizations, we will analyze the data and try to find general patterns. |
We Feel Fine: Visualizing the Psychological Valence of Emotions (Elliott and Corren)
 |  | We present a methodology for quantifying the nature and intensity of emotional states across various demographic spectrums as noted in emotion-laden text. By incorporating an assessment of the specific words related to feelings found in blogs, we quantify psychological valence (i.e. happiness) on a continuous 1 to 9 scale using a standardized, discrete word list. Our method incorporates elements of a multi- dimensional model which differs from the traditional classification systems which are based primarily on subjective, qualitative measures. Further, we introduce a visualization method that couples a histogram which spans emotional states with a word frequency bar chart which allows exploration of temporal content changes in the language used to express emotions. We refer to this visualization technique as a “valence bar.” |
Virginia Port Authority - Import/Export Explorer (John and Andrew)
 | Global trade has a plethora of data. However data is not information. Data is simply a collection of facts for reference. Information however is data that is provided for you, that is a part of a learning experience. The visualization of Trade data allows for a transformation of data into information. The Import/Export Explorer’s purpose is to help inform a user on trade. Which nations have the highest export in U.S. Dollars? What nations provide the largest tonnage of trade each year? How are the trends moving in each of the nations? Through use of data provided by the Virginia Port Authority and the tools created by Google Chart API, Import/Export Explorer will provide clues to answering these questions. |
K-12 Archive Explorer (Sawood and Chinmay)
 | K-12 Web Archiving is a program designed for high schools in partnership with Internet Archive and the Library of Congress. The program has been active since 2007 and allows students to capture web content called collections and archive it for future generations. These archives could provide a strong resource for future historians who will study our lives. The program will help preserve the history and culture and provide an insight into trends, research and thinking patterns of current generations. In this paper we propose a web based application that helps to aggregate this vast collection of information. The explorer provides the students with a single interface for fast exploration and visualization of the K-12 archive collection. |
Wikipedia Page View Analyzer (Timothy)
 | This work is a visualization for analyzing page view statistics for the popular website Wikipedia. The visualization allows users to interact with it, to filter down articles and to begin researching various data points that they find of interest. |
Visualizing Digital Collections at Archive-It (Kalpesh and Yasmin)
 | Archive-It, a subscription service from Internet Archive, allows users to create, maintain and view digital collections of web resources. The current interface of Archive-It is largely text-based, supporting drill-down navigation along lists of URIs. With the lack of proper moderation, many collections are poorly curated making them difficult to explore. In this work, we introduce two visualizations for exploring these archives and gaining insight about the collection. |
