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final-project-team-5

Adrienne Kwok, Katherine Robak, Masha Paley

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This project for L&S 88 attempts to recreate the analysis in a study originally published in Palgrave Communications titled Comparing Apples to Apples. The purpose of this project is to attempt to reproduce the findings in the original analysis regarding the relationship between heat and rain and violent crimes in Boston. We will also evaluate the efficacy and reliability of the methods in the original study to qualify any conclusions that we draw. For more detailed information, see our Pre-Analysis Plan.

Directory Structure

This repo contains a few subfolders which contain the elements of this project.

Folder Description
data data from the original analysis in CSV and TSV format
images image files used in the Jupyter Notebooks
notebooks Jupyter Notebook files, including reproduction analysis using datascience, as well as the Pre-Analysis Plan
output output data in CSV and TSV format
subassignments Markdown files with submissions for final project sub-assignments

Sources

Data 8 Textbook: Confidence Intervals
https://www.inferentialthinking.com/chapters/13/3/Confidence_Intervals.html

Sommer, Alice J., Mihye Lee, and Marie-Abèle C. Bind. "Comparing apples to apples: an environmental criminology analysis of the effects of heat and rain on violent crimes in Boston." Palgrave Communications 4.1 (2018): 138. https://www.nature.com/articles/s41599-018-0188-3#MOESM1

Sommer, Alice J., Mihye Lee, and Marie-Abèle C. Bind. "Replication Data for: Comparing apples to apples: an environmental criminology analysis of the effects of heat and rain on violent crimes in Boston." Harvard Dataverse (2018).
https://doi.org/10.7910/DVN/4UZ9D4doi/10.7910/DVN/4UZ9D4