the financial research method

This Quarto-based R project conducts an in-depth exploratory data analysis (EDA) of the 2021 household census dataset, focusing on relationships between income, education, ethnicity, gender, household size, and marital status. Through data cleaning, variable derivation (e.g., Household_Size and Income_Category), and visualizations like line charts, heatmaps, boxplots, and bar plots using ggplot2, the analysis reveals key disparities—such as higher incomes in smaller White households and education barriers in larger minority families. Includes policy recommendations like targeted scholarships and tax credits. Ideal for data science students and policymakers interested in reproducible socioeconomic research.

RF Thetford

Quasiparticles are emergent phenomena in condensed matter physics that arise from the collective behavior of many particles in a system.

Progetto personale per corso di Statistica descrittiva di Profession.AI