Requirements Doc - rowland17/TyrellCorp GitHub Wiki

Tyrell Corp. Data Assessment https://github.com/rowland17/TyrellCorp.git Matthew Garcia, Mitchell Estes, Scott Rowland

Introduction:

Being able to effectively search a college library’s database is an important skill that can improve students’ research process. We analyze the data from a survey conducted by Credo, regarding how satisfied students at the University of Portland are with library training programs designed to improve research skills. We also focus on how many research assignments students are assigned, as these two factors may lead to improve University of Portland students’ library searching abilities. These factors are compared against the data of student’s confidence level at searching library databases, in hopes of finding a correlation that can be used to determine the most effective way to improve our students’ database searching abilities.

Domain Knowledge:

The questions that our group is seeking to answer are, “How confident are students with research and how satisfied are they with the training that they have received at the library?”, and “Does having more research assignments make a student more confident in research?”. We are focusing on University of Portland students, with our aggregate data coming from the Credo survey. Our first graph will compare questions 14e_CONF_SEARCHING to Q17_USEFUL and our second graph will compare 14e_CONF_SEARCHING to Q6_LARGE, and Q7_SMALL. The graphs will show nine different majors as defined by the potential answers given in the survey. These majors are largely representative of the whole student body and will give an accurate depiction of who needs more time and effort.

Visualization Requirements:

As the user enters the site, they will be able to view the initial graph of our data set, the confidence levels of students organized by their major.

Figure 1.0: A rough design of the graph displaying the average confidence level and the satisfaction with training. This graph is a mock dataset.

The Bars: Each major is along the X axis, with the confidence and satisfaction level viewable on the Y axis. The second graph is similar with number of assignments instead of satisfaction level. Hovering: The user is able to hover the mouse over individual bars on the graph to display more specific data about the graph they are hovering over, for example how many people in that major were surveyed to get the the average number being displayed by the bar. Toggle: A button to toggle between the two graphs appears near the top of the page. When clicked, the graph, along with the title switches to the secondary chart.

Test Session 1 | Initial Graph: Visualization displays the initial graph, like the one in Figure 1.0, with the confidence level of students, organized by major, as well as an appropriate link to the University of Portland library services.

Test Session 2 | Graph Toggling: Visualization has a button to allow the user to switch to the secondary graph, displaying the average confidence of students against the number of research assignments that they receive.

Test Session 3 | Column Selection: More in-depth information is displayed as the user hovers over each column of either data set. This extra information shows the sample size of the column that is being hovered over.