Socio-economic data analysis project developed with R, readxl, dplyr, tidyverse, ggplot2, scales, and PCA, featuring data cleaning, EDA, factor encoding, poverty-rate analysis, education and work sector insights, and dimensionality reduction using a Brazilian poverty dataset for the Data Exploration & Preparation module at CCT College.
ggplot2 r dplyr exploratory-data-analysis tidyverse eda pca data-analysis data-cleaning principal-component-analysis readxl social-data rcode poverty-analysis factor-encoding data-exploration-and-preparation
-
Updated
Mar 17, 2026 - R