Visualization Posts at the WS-DL Blog

Class Projects

CS 725/825 Information Visualization, Spring 2017

There were 19 projects this semester, so these are split out on a separate page. See InfoVis-Gallery-spr17


CS 725/825 Information Visualization, Spring 2016

InfoVis Spring 2016 Class Projects @ WS-DL blog

Visualization for Navy Hearing Conservation Program (HCP) (Hung, Srinivas, Erika) | demo video

The aim of this work is to track hearing level of workers in US navy over a period of time through Hearing Conservation Program (HCP). Hearing Conservation Program is an internal training conducted by the US Navy with a goal to detect and prevent a noise-induced hearing loss among the service members by analyzing their hearing levels over the years. The authors analyzed the data obtained from the Audiogram dataset to produce some interactive visualizations using D3.js to see hearing curves of workers over the years.

Expanding the WorldVis Simulation (Juliette, Mridul, Christos) | demo video

In this work we present our modifications to the WorldVis, FluNet Visualization tool, a specialized tool for visualizing influenza outbreaks over weeks and years per country via an animated choropleth map. We extend this specialized tool to account for general datasets of quantitative attributes per country over time. We replace the difficult to interpret visualizations from the specialized tool with familiar line graphs that users will know how to read. We extend the functionality of the choropleth map to encode the attributes based on continent average. We also compute summary data for each dataset for each year, so at a glance, the user can see statistical information including the country with the minimum and maximum value. Our modifications focus on making the tool more general and on the visual encoding and interaction idiom.

ODU Student Demographics (Ravi, Rajyalakshmi, Shivani) | demo video

This work concentrates on ODU international student information. It visualizes the headcount of International graduate and undergraduate students studying at ODU for each country for a particular major in a selected year and gender ratio for undergraduate and graduate students in the university for each year. The main goal is to provide an interactive interface for the prospective students, to analyze the global diversity at ODU and identify whether ODU best suits their expectations in the aspects of alumni from their respective major and country.

Analysis of Student Fee Structure at ODU (Mounika Ko., Sindhuja, Keerti) | demo video

This project aims at studying and comparing the ODU (Old Dominion University) tuition rates with other universities in Virginia. This project also focusses on understanding how much the tuition rates have increased over the years. Mandatory fees has become one of the growing concerns for students, This project studies and analyzes the reason for increase in mandatory fees and also identifies the divisions in mandatory fees. The tuition trends over the years 2004-2015 are identified and compared with the current tuition rates.

Slate of Schools - US Universities (Dinesh, Rithika, Bhavani) | demo video

In this project we have shown all the 4 or more year U.S Universities in one place mainly focusing on acceptance ratio and tuition fee. It is designed for those students who looks for a quality education and are confused. This is done by comparing statistics of the universities in and outside a state. Upon observation, it is noticed that universities with less acceptance rate is highly ranked compared to universities with high acceptance rate and also have relatively high tuition fees.

A Current and Future Threat: Global Warming, Sea Level Rise, and Household Income (James, Manoj, Seyedmeysam) | demo video (WebEx)

This work seeks to highlight the impact of global climate change on the eastern seaboard of Virginia. We first consider the historical correlations between rising temperatures and rising sea level at seven data collection stations across the Tidewater region. We then visualize the effects of various projected amounts of sea level rise across the region. Finally, we consider the median household income in the areas likely to be affected by the projected amounts of sea level rise. It is not our intention to draw firm conclusions regarding the projected impact of climate change in this region, but instead to demonstrate measured historical trends and to visualize possible future impacts to the region. Two conclusions seem clear from the available data: 1) sea level rise is occurring along the Virginia coastline, and 2) households at all income levels are likely to be affected by a significant rise in sea level, not just the wealthy who own homes along the shore.

Effects of Flooding on Real Estate in Hampton Roads (Lloyd, Evan) | demo video (WebEx)

For many who have lived in Norfolk, VA a seasonal storm or heavy rain is a normal occurrence that eventually results in flooding. A first time home buyer or an established investing firm located in San Diego may not be aware of this risk in Norfolk. A tool that allows buyers to evaluate the effects of flooding near their potential real estate investment or to evaluate the entire local real estate market would be very useful. By having this knowledge at their fingertips users would make better decisions and be more satisfied with the purchase knowing the flooding risk around the property.

Visualizing Web Archives of Moderate Size (John, Joel, Dan) | demo video

For our research, we leverage this platform as a means of understanding web archives in a multi user setting. In this study, we propose a new approach towards identifying the general state of the archives, by using contextual data provided during the archival process. This meta data allows us to identify the most common domains, archived resources, times and tags associated with a web collection. We find this approach an adequate solution for multi user settings, where the designed tool outlines the most important areas of focus in web archives and gives users a more clear picture of what their collections comprise of, both in specific and general terms.

Campus Safety and Security (Sumanth, Abhishek, Venkata) | demo video

The goal of this work is to show the crime rates in different universities across United States of America. Based on the crime rate, the system provides a user interactivbe view which projects the visualization for all the universities based on its total crime. The system is designed to analyze various aspects of the crimes committed.

ODU Course Listing Visualization (Mounika Ka., Surbhi, Srineeja) | demo video

In this work, we define a system that uses meaningful visualizations to help students and administrators in any University. In a huge University campus like ODU, there is a high chance of one losing their way while searching for their class, especially when they are new to the place. Our aim was to help such students to find where the classes are happening and easily find the location through Google Maps. This work is to analyze the course listing data from the University and implement the course search through Google map to make it easier for students. Also, there are other statistics about different buildings which hold many number of classes on a daily basis and statistics based on each department data. This information helps the University to analyze the strength of the courses offered.

CS 725/825 Information Visualization, Spring 2015

InfoVis Spring 2015 Class Projects @ WS-DL blog

A Visualization for Exploration of the Chesapeake Bay Currents Dataset (Teresa) | demo video

The Chesapeake Bay Currents Dataset Exploration visualization tool was created to provide users with information about a high frequency radar surface currents dataset collected by Old Dominion Universityís Center for Coastal Physical Oceanography (CCPO). The difficulty of obtaining publicly available metadata for high frequency (HF) radar data provided motivation for this project.

Hampton Roads: In- & Out-Flow of DoD Contracting Dollars (Kayla and Swaraj) | demo video

Hampton Roads: In- & Out-Flow of DoD Contracting Dollars is a visualization for the flow of DoD contracting dollars to and from the Hampton Roads area of Virginia. The system is for those who wish to analyze how the in- and out-flow of DoD contracting dollars affects the Hampton Roads economy. We designed an interactive bubble map which shows the flow of DoD contracting dollars to and from Hampton Roads based on counties, along with line charts which show the total amount of inflow and outflow dollars, while hovering over a county on the map shows the inflow and outflow amounts for that county overtime.

Federal Contracting in Hampton Roads (Shawn and Valentina) | demo video

We present a visualization for United States federal government contracting awards in the Hampton Roads region of the State of Virginia. Our visualization consists of a map (choropleth) displaying different colors based on the funding each locality receives. To the right of the map is a bar chart displaying a bar indicating how much funding each industry received. On top of the map and the bar chart is a small line chart (sparkline) showing the trend in funding. Our visualization allows the user to select a year, agency, or locality with the Hampton Roads area, updating the choropleth, bar chart, and sparkline as appropriate.

Sea Level Rise and its Impact on Transportation Infrastructure (Apeksha and Raghav)
This work was also featured in an online article by the ODU Mace & Crown - http://www.maceandcrown.com/2016/03/24/watch-norfolk-flood-3-dimensions/

The goal of this visualization is to show the sea level rise and its impact on transportation infrastructure along the east coast line of the United States of America. The transportation infrastructure includes interstates, minor-arterials, national highways, non-interstates, rails, airport properties and ports. Based on the impact, the system provides a user interactive view which projects the visualization for all the east coast states along with percentage of transportation infrastructure affected. The system is designed to analyze the total impact on each state and to provide a comparison among the states.

Hypothes.is Annotations Analyzer (Wessam)

This Hypothes.is annotation analyzer tool aims to bring together online annotation, visualization, and analysis. The main idea is to provide a unified and dynamic representation of annotated data. The proposed tool allows users and researchers to analyze Hypothes.is data repository and use the possibilities of analysis schemes and graphical visualization for information representation. As the annotation tool considered as a cyclic process the proposed system use statistics and correlation to find the dependencies and relation between annotations. In this paper the annotation visualization facilities of the Hypothes.is annotation analyzer functionality is presented in four interactive juxtapose visualization charts to show the relation between the annotations. The Four charts the system produce are: bubble chart that represents the clusters of the annotations (Cluster Chart), The chord chart to illustrate the relation between domains (Relation Chart), The bar chart to shows the part of whole relation between cluster and dataset (Availability Chart), and The stacked bar chart to show the part of whole relationship between annotations domains, cluster and whole dataset (Statistics Chart).

Visualizing Annotations in Hypothes.is (Mohamed)

Recently, web annotation systems have been receiving more attention. These systems help sharing knowledge among users as they are allowed to annotate web resources and reply to other usersí comments. Existing web annotation systems, such as Hypothes.is, give their users a limited way to search for information. It is not possible for them to find trends, outliers, or an overview of all data available in their server. In this work, we are introducing an interactive visualization tool to help users understand how annotations are distributed among all domains. By looking at domains which have received large number of annotations, it can be determined whether or not annotations are made for serious purposes. Other information is also can be obtained by this visualization tool such as (1) relationships between domains based on usersí tags, (2) a particular userís annotations distribution among domains, and (3) the change in the number of annotations created over time.

My Twitter Neighborhood (Alexander and Hassan)

The rapid expansion of online social networks merits the significant amount of research effort targeting the analysis of social networks. And even though the goal of social networks analysis is manifold such as seeking to identify local and global patterns or the quest to locate influential entities in a network, the goals of visualizing social networks is not diverse: we seek to visualize in order to comprehend the various dynamics of a social network. Consequently, visualizing social networks is an important aspect of social networks research. There are various tools niched in domain needs which visualize social networks. Having explored some of these, we propose a visualization system which attempts to fill some missing functionalities in pre-existing tools, as well as augment or improve others. This was done from an individualís (Twitter user) perspective. In other words, we propose a visualization system which generates the multi-degree friends and followers graph of a Twitter user, and encodes this data into two standard graph visualization idioms - a Force-directed node-link diagram and an Adjacency matrix.

ODU Faculty Data Visualization - Mace and Crown (Prasanna and Avinash)
This work was also featured in an online article by the ODU Mace & Crown - http://www.maceandcrown.com/2016/01/21/19915/

The aim of this visualization is to examine the ODU Faculty salary data and other additional details about each faculty and draw comparisons between each department inside ODU. The authors also analyze the salary data from other states and universities across the United States and compare it with that of the ODUís salary data. Most of these comparisons were made based on the facultyís position and the department to which the faculty belongs to. The authors also try to find from which country/state each of the faculty obtained their last degree from and represent it on a global/country map.

Crime Rate in the US (Ilho and Srividya)

This project explains why US stands first in the crime. The goal of the project is to know if there is any effect of population, income, and region on the crime rate of the states in US. This has been done by comparing the crime rate with population and income from 2000-2012. Upon observation, it was clear that as income increased the crime in the states started decreasing. Later Top 25 cities with higher crime rate are visualized using a map which gave a clue that even region has a small amount of effect on the crime rate.

CS 725/825 Information Visualization, Fall 2013

InfoVis 2013 Class Projects @ WS-DL blog

Interactive Visualization of Influenza Spread (Ayush and Reid) | demo video | FluNet Vis @ WS-DL blog

The Global Influenza Surveillance and Response System (GISRS) has been in operation since 1995, and aggregates data weekly from laboratories and flu centers around the world. The FluNet website was constructed to provide access to this data, but the ability to visualize this data is limited by its outdated, inefficient front-end. In this paper, we present a fresh visualization built around that data showing the propagation of influenza across the globe over time. Our visualization uses Web technologies to present a three-dimensional choropleth globe with color intensity corresponding to infection level. The user can press play and watch the yearly cycle of infection play itself out on the globe's surface.

Visualizing Currency Volatility (Jason) | demo video

There is evidence of a war going on this very instant that is affecting nearly every country in the world. It is the surreptitious appreciation and devaluation of currencies. How can we even be sure such a war is taking place? How is your currency of choice fairing in this war on currencies? It is our intent to provide you with the visualization tools to answer these questions for yourself.

Visual Exploration of a Controlled Vocabulary - MeSH (Gil) | demo video

MeSH is a controlled vocabulary developed and maintained by the U.S. National Library of Medicine (NLM) for indexing biomedical databases, including the PubMed citation database. PubMed queries can be made more precise, returning fewer citations with higher relevance, by issuing them with specific reference to MeSH terms. The database of MeSH terms is large, with many interrelationships between terms. This work visually presents a subset of MeSH terms, specifically MeSH descriptors. The MeSH descriptors are organized into trees based on a hierarchy of MeSH numbers. This work includes a tree view to show the relationships as structured by the NLM. However, individual descriptors may have multiple MeSH numbers, hence multiple locations in the forest of trees, so this view is augmented with a force-directed node-link view of terms found in response to a user search. The terms can be selected and used to build PubMed search strings, and an estimate of the specificity of this combination of terms is displayed.

Global Infrastructure Trends (Nick)

This project presents a novel visualization tool that can be used to easily visualize and explore global indicator data. The particular use case involves visualization and exploration of global infrastructure trends over the last 20-30 years.More specifically, this tool is being used to analyze the technological revolution in the recent decades by examaning world-wide data measures relating to cell phone subscriptions, internet, broadband subscribers, etc. Though technological advances have lead to wide-spread availability, the distribution of such technologies is still extremely heterogeneous across the globe. The project here was to create and develop a novel visualization tool that will alow for the exploration of these infrastructure trends (as well as any other global indicator) and gain key insigts such as topological relationships of technology use as well as assess the amount of energy generation and consumption and how they relate to the overall technological advancement of a particular country.

Visualization of Highway Accidents in the US (Sherni)

This projects aims at elucidating different ways to present a given dataset for highway accidents and to make these resources available for any user so as to allow them the ability to know different trends with the use of numerous filtering and zooming mechanisms.

US Broadband Internet (Thomas)

The goal of this visualization is to provide users a mechanism to explore and analyze United States Broadband Internet data. There is an abundance of data that can be visualized. Current analysis tools limit users to a small subset of the available Broadband Internet data: upload speeds and download speeds. The goal of this tool is to provide a more comprehensive and detailed understanding of U.S. Broadband Internet data.

BlueVis: Understanding Bluetooth Data (Ahmed)

Visualization is an easy way to convey information especially when it is complex. It has been a challenge for the last decade to come up with a simple yet powerful. Visualization is required by a wide aspect of topics as science, journalism, and even children stories. In this paper we will use visualization tools to explore another field of data visualization. Bluetooth is a peer to peer communication technology that has plenty of applications. In this paper we will use visual tools to explore the data collected from Bluetooth signals. Analyzing and exploring these types of signals is done using pure mathematical machine learning techniques that can hardly be visualized. The goal of the work is to come up with a tool that can provide Bluetooth data researchers with an insight on their data. It provides the users with options like: drag, zoom, filtering, feature selection and mapping.

CS 795/895 Applied Visual Analytics, Spring 2013

InfoVis 2013 Class Projects @ WS-DL blog

You're Gonna Die (Diet) (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.

Disease Outbreak Across Cities (Wayne, Phani, Ranjith)

In the second 2010 VAST Mini-Challenge, a fictitious 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. This 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.

Life in Hampton Roads (Ben, Adarsh, Rahul) | demo video

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.

Life in Hampton Roads - 2 (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.

Where Shall I Stay, People Like Me (Andrew S., Mohan, Ujwal)

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.

CS 795/895 Information Visualization, Fall 2012

All groups investigated emerging trends in quantum sensing. For more info, see the Infographics Contest page.

InfoVis Fall 2012 Class Projects @ WS-DL blog

Wayne - contest winner | demo video

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.

Mat | demo video

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.

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.

Andrew S.

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

InfoVis Fall 2011 Class Projects @ WS-DL blog

We Feel Fine: Visualizing the Psychological Valence of Emotions (Elliott and Corren) | demo video

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."

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.

K-12 Archive Explorer (Sawood and Chinmay) | demo video

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.

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.

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.

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.

Archive-It Visualization - 2013

Screencast of Archive-It Visualization Prototype (4 mins)