An R project that investigates and visualizes the effect of sex and education on an individual's income level through the use of a full-factorial two-way ANOVA test and relevant post hoc significance tests conducted over a 2014 Pew Research Center dataset consisting of higher education attainment, gender, and income data.

Australia SA3-level analysis of relationship between child mortality/morbidity and climate conditions/air pollution

US Economic data produced by Economists Thomas Piketty, Emmanuel Saez, and Gabriel Zucman

A Shiny app for visualizing ACS PUMS income data

Provides scripts in R making it possible to generate graphs as in Eurostat Statistics Explained on Income, Consumption and Wealth main results

Reconciliation of quarterly Australian GDP forecasts from Income and Expenditure sides

Educational attainment in large majority Black cities

R code to accompany Cutting Down Trees article

Use data from INSEE for representing the geographical distribution of income with R

Provides scripts in R making it possible to generate graphs as in Eurostat Statistics Explained on Income, Consumption and Wealth methodological issues

Some sample codes for working with the unit-level data of the Situation Assessment Survey 2018-19, India.

Repository of data, code and supporting materials to repeat analysis performed by ODOT Research Unit documenting pedestrian injury disparities in Oregon. The standardized scoring uses an objective approach to categorizing Census tracts based on race, ethnicity, and poverty. These categories are then used to calculate population-based pedestrian …

Public sector employee salaries