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data-exploration-and-preparation

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ThiagoGoncos / CCT-brazil-poverty-education-work-analysis

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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

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