Data Science Replication of Covid-19 Wastewater Tracking
Author(s): Derek Sollberger
Princeton University
133 total view(s), 47 download(s)
Summary:
Students are asked to use data science skills (such as pivot tables and linear regression) to replicate Covid-19 wastewater monitoring data provided by the CDC NWSS (National Wastewater Surveillance System at the Centers for Disease Control)
Contents:
sml201_project_2_template.html(HTML | 1 MB)
sml201_project_2_template.pdf(PDF | 38 KB)
sml201_project_2_template.qmd(QMD | 6 KB)- us_states_shp.rds(RDS | 1 MB)
wastewater_regional_data.csv(CSV | 16 KB)- wastewater_state_data.csv(CSV | 2 MB)
- wastewater_variant_data.csv(CSV | 6 KB)
- License terms
Description
Students are provided a Quarto template (R programming, markdown for literate programming) with guidance of 12 tasks. This project was envisioned as a week-long take-home project for groups of students (up to 4 students per group) in an Introduction to Data Science course.
Notes
first upload (no solutions)
Cite this work
Researchers should cite this work as follows:
- Sollberger, D. (2024). Data Science Replication of Covid-19 Wastewater Tracking. QUBES Educational Resources. doi:10.25334/222Z-W232