The article introduces a tool called multicoefplot that helps researchers analyze data by comparing different specifications in their models. This tool allows for easy comparison of various control groups, fixed effects, and standard errors. It also helps researchers check the robustness of their results by leaving out one control at a time or perturbing the data. The main goal is to provide a user-friendly way to analyze and compare different model specifications in repeated cross-section analysis.