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Activity Number: 558
Type: Contributed
Date/Time: Wednesday, August 3, 2016 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Education
Abstract #318687
Title: A Classroom Data Analysis Project Comparing 1960s Local Radio Chart Data to the National Billboard Charts
Author(s): John Gabrosek* and Len O'Kelly
Companies: Grand Valley State University and Grand Valley State University
Keywords: R programming ; big data ; statistical application

Two of the main recommendations of the Guidelines for Assessment and Instruction in Statistics Education report are to "Use real data" and to "Use technology for developing concepts and analyzing data." This poster details a collaboration between the authors and the students in a cross-listed undergraduate/graduate first course in the R programming language. Author O'Kelly provided a data set on songs that made the national Billboard charts and/or charted at any of five different radio stations (3 in Chicago and 2 in Grand Rapids) during the 1960s. The data set includes 5746 observations and 19 variables. All of the radio chart data was hand-entered by O'Kelly. O'Kelly introduced the data set to the students in class and laid out the research questions. Author Gabrosek created a series of projects that students worked on in teams throughout the semester to analyze the data. This is the only known analysis of a complete radio chart data set for the three Chicago stations. The poster details the process from data cleaning, to data visualization, to presentation of results. All of the analysis was performed by students using R.

Authors who are presenting talks have a * after their name.

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