02/06/2026
🚀 Analyze Data with Stata – Your Essential Cheat Sheet for Efficient Analysis
Good data analysis is more than running a few regressions. It’s a systematic process that takes you from data exploration to robust conclusions. With Stata and the right commands at hand, you can work faster, more accurately, and with full reproducibility.
This cheat sheet highlights the most important steps in the analytical workflow:
✅ Explore and summarize your data with commands such as summarize, pwcorr, and correlate
✅ Conduct statistical tests using ttest, anova, chi2, and ranksum
✅ Work correctly with categorical and factor variables through the i. and c. notation
✅ Define your data structure for time-series, panel, or survey data using tsset, xtset, and svyset
✅ Estimate models with confidence – from regress to logit, including robust and clustered standard errors
✅ Perform diagnostic checks with tools such as estat vif, hettest, and ovtest
✅ Leverage post-estimation commands like margins, predict, and lincom to gain deeper insights
Whether you're working in research, policy analysis, or applied econometrics, having these commands readily available can streamline your workflow and improve the quality of your results.
📌 Save this cheat sheet for future projects and share it with colleagues and fellow Stata users.
The Cheat Sheets have been produced by data practitioners Dr. Tim Essam and Dr. Laura Hughes.
