Collaborators: Amir Biglari; E-Mail: amir.biglari@utah.edu; UID: U0613845. Mohsen Abbasi; E-Mail: m.abbasi@utah.edu; UID: U1011952. Waiming Tai; E-Mail: u1008421@utah.edu; UID: U1008421
This project is the visualization of "The Campus Safety and Security"
data set. It consists of the statistics for different types of criminal
activities at postsecondary institutions in the United States between 2001
and 2014. The crimes covered in the data set are categorized into
criminal offenses such as theft, disciplinary actions such as drug
violations, hate crimes, VAWA offenses and others.
The first view of this visualization is the map of United states. This map shows the ratio of the number of crimes
in each state to the number of its students, by using a gradient color scale. By hovering over each state you'll see
a tool tip containing general information about that specific state like number of students and number of crimes.
Also the slider below the map can change the results on the map with respect to a desired year.
If you choose a state the first thing that you'll see is this line chart that shows the trend of number of different
crime types from 2001-2014 alongside of the total number of crimes. By hovering over the lines you can see their crime
type. If you select a line, you will see a barchart showing different categories of that crime type.
The second chart which gets updated after selecting a state is the ratio scatter plot. In this chart, each corner
represents one of the four crime types. And as a crime type has a larger role in the total number of crimes in an institute, the said institute would be
placed closer to the corresponding corner.
By clicking on one of the circles on the ratio chart, the SunBurstTree chart would pop up displaying the full crime
statistics for the university which has been selected. The first layer
represents the crime types and the second one represents the categories in each type. by hovering over different
pieces you can see the name and number of them. Also, by clicking on a specific type of crime, the chart gets updated.
The last thing we have in this visualization is universities comparison. By brushing a set of universities on the
scatter plot, the comparison table gets updated. This table can be sorted with respect to different attributes as
well for easier and more understandable comparisons.