Recently Published
Marginal Effects Plots
R code for Marginal Effects Plots using ggplot2 package.
CO₂ Time Series Analysis and Forecast
Analysed atmospheric CO₂ concentrations in Hawaii by using time series analysis in R. Used trend analysis, seasonal decomposition, linear regression modelling and ACF analysis to make assumptions on the data. Created 120 and 240 month forecasts using Meta’s Prophet forecasting model to investigate future atmospheric CO₂ concentrations in Hawaii.
Plot
Data for Manuscript
World Bank Indicators
An EDA on World Bank Indicators, dataset taken from the World Bank Dataset
Diseño factorial de dos factores con datos de producción animal
Diseño factorial de dos factores con datos de producción animal: Primer avance
