CoRE Lab Berkeley School of Education

Choosy: Billboard Hot 100 Data Wrangling Demo

This interactive data wrangling resource features a curated Billboard Hot 100 dataset along with guided workflows demonstrating how to filter, sort, and slice long, case-heavy datasets (with too many records) to fit specific lesson objectives. It helps educators find the right sub-selections of music charts from the full database for the kinds of investigations they want to do.

To Learn More: This resource is part of How to be Choosy, a published guide that helps educators learn how to convert too-large datasets into ones that are both manageable, and that preserve the pedagogically useful parts of the “real world.” Read the full paper here

Intended Audience & Use Case: This resource is designed for K-12 and undergraduate statistics and data science instructors, as well as curriculum designers. Though some of the ideas and activities might be useful for students as well, we recommend providing them with additional scaffolding and support than is available in these resources.

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