Poster Presentation Project for Data Camp Competition
Urban vs Rural: The Impact of Race and Location on Obesity Prevalence
Overview
This project contains multiple files used for data analysis and visualization, including a dashboard, statistical analysis, and a poster presentation exploring the relationship between Obesity Prevalence, Race, Location, and socio-political factors such as poverty, access to food, and physical inactivity to obesity, an epidemic that affects rural areas and densely populated ethnic groups.
Files Included
Data Files:
DCASAT_R.csv: A CSV file to be used with R, ensuring that leading zeros are not removed.
COUNTY Folder: Includes Geo images for R.
R Files:
DCASAT.R: An R script containing descriptive analysis, regression plots, and geospatial analysis.
R Analysis
CSV Data:
Load DCASAT_R.csv in R, ensuring to maintain leading zeros in the data.
Geospatial Mapping Data:
Load county.shp from county folder
Run Analysis:
DCASAT_R.R in your R environment.
The script includes:
Descriptive analysis
Regression plots
Geospatial analysis
How to Run:
Make sure all necessary libraries are installed.
Source the DCASAT.R file to execute the analysis.
Options to run as directory or to choose file directly we're made available.
Contact
For any questions or issues, please contact Delia Castrejon