Visualizing the relationship between temperature and heat-related outpatient visits

Authors: Anna Nguyen, Sam Jaros, Andy Chang

This respository contains all code used to produce the RShiny App submitted to the NCHS Data Visualization Challenge by Anna Nguyen, Sam Jaros, Andy Chang from the Department of Epidemiology and Population Health at the Stanford School of Medicine.

Directory Structure

0-config.R : configuration file that sets data directories, sources base functions, and loads required libraries.

1-data-cleaning : folder containing scripts to clean, process, and format data for visualization

2-data-processing : folder containing scripts to merge all data sources

nchs-data-viz : folder containing code to create interactive plots and shiny app

data : folder containing all raw and cleaned data for data visualization

renv : folder containing supporting files for renv for package version control