We began by cleaning the data, handling missing values, removing outliers, and formatting categorical variables. Through exploratory data analysis, we used visualizations and summary statistics to understand variable distributions and relationships. We fit a linear regression model to predict a continuous outcome and evaluated it using metrics like R-squared . For the logistic regression model, we predicted a binary outcome, interpreting odds ratios

Trabajo de DBCA en Rpubs

Final project data visualization.

reviewer_inciendent

Comparison of the effect of regime ideology on being targeted by democracies vs. targeting democracies in Militarized Interstate Disputes.

First attempt at Rmarkdown