katcorr
commented
4 years ago @abrandfonbrener @gcho21 @jamazzo
Great revisions, team! The new direction you've chosen sounds really interesting, and is well motivated. Nice work finding those datasets -- pulling different types of information from the different sources is a creative and neat idea.
I'm not sure I quite understand the "overlaid" bar graph, but if this involves dual axes (two different axes on one figure), I'd highly suggest considering a different visualization. I can help brainstorm alternative ways to effectively visualize this comparison, if you'd like. Remember that you'll need at least three separate components to the Shiny app, as each team member is to take the lead on / be in charge of one component.
To make the most of Tuesday's class time, your team should coordinate some work to be done before class on Tuesday. That way, I can help address questions that may arise as you're working, and you can check in with each other on your progress.
Revised proposal: 10/10
Title: Comparing Standardized Testing Scores and Student, Parent and Teacher Satisfaction
Purpose: Many high school students, past and present, bemoan the ordeal of standardized testing. That single score prescribes a huge influence on young people’s wellbeing: acceptance into college, and the time and money required to achieve a competitive score. As such, the system is beset by classism. In the last decade, many institutions have moved away from using standardized testing as a criterion for accepting students. The question is inevitably, “What do standardized testing scores say about a student? What do averages of those scores say about a high school?” Test score averages are a fast, simple way to judge a high school. But so many more factors are important to a student’s success: funding, resources and the school environment. This project will attempt to assess an association between student, parent and teacher satisfaction with a high school and the testing averages of that school.
Data: This project will use two datasets, both of which are from “Open Data,” an organization run by the city of New York. The first is a summary of SAT score averages for graduating high school seniors in 2012, taken for nearly every high school in the city of New York. The second is the 2012 NYC School Survey from the Department of Education. Every year, all parents, all teachers, and students in grades 6 - 12 take the survey, indicating their opinion of their school’s abilities in regard to academic expectations, communication, engagement, and safety and respect. It will be easy to bind these two datasets together by matching the high schools, as each high school in NYC has a unique “DBN” code. It is a column in both datasets.
Shiny app: Our plan is to make an overlaid bar graph system, which puts the satisfaction on one and the average SAT score on the other. Each bar will be a high school. We will make dropdown menus to select which satisfaction score and SAT score sub-average to display. We could also make a second tab that displays information about a specific high school, with a dropdown menu to specify which school. The survey dataset has plentiful information, so there are plenty of ways in which we could expand our app.