This project analyzes census data from Robeson County, North Carolina 🗺️, focusing on household income, racial distribution, and concentrations of air pollutants such as NO, SO₂, and CO. The analysis leverages spatial data techniques and visualization to uncover demographic and environmental patterns within the county.
- Exploration of household income disparities across neighborhoods
- Visualization of race/ethnicity distribution using geospatial data
- Analysis of air pollutant concentrations (NO, SO₂, CO) and their spatial patterns
- Integration of census and environmental datasets for comprehensive insights
- Mapping and statistical plotting to support data-driven conclusions
- R packages:
ggplot2,dplyr,tidyverse,sf,tidyr - GIS and spatial analysis with
arcgis-proand geospatial data workflows - Data cleaning, transformation, and visualization with tidy data principles
- Geospatial data analysis and mapping
Explore the project presentation here: Robeson County Census Data Analysis - Presentation