Practice familiar statistical workflows, right in your browser
Browser-based software implementing a growing subset of Stata syntax. Open .dta files, write do-files, and start on any modern laptop—no installation required.
. reg math female i.race
Linear regression
| Number of obs | = 200 | F(4, 195) | = 5.82 |
| Prob > F | = 0.0002 | R-squared | = 0.1067 |
| Root MSE | = 8.94489 | Adj R-squared | = 0.0884 |
| math | Coefficient | Std. Err. | t | P>|t| | [95% Conf. | Interval] |
|---|---|---|---|---|---|---|
| female | -.663744 | 1.280451 | -0.52 | 0.605 | -3.189054 | 1.861567 |
| 2.race | 10.034567 | 3.275074 | 3.06 | 0.002 | 3.575452 | 16.493682 |
| 3.race | -.539449 | 2.719297 | -0.20 | 0.843 | -5.902458 | 4.82356 |
View full output
| math | Coefficient | Std. Err. | t | P>|t| | [95% Conf. | Interval] |
|---|---|---|---|---|---|---|
| 4.race | 6.604002 | 1.973388 | 3.35 | 0.001 | 2.712078 | 10.495926 |
| _cons | 47.720882 | 1.917867 | 24.88 | 0.000 | 43.938457 | 51.503308 |
Generated by the stats.camp engine. Try the live demo — no account needed.
The demo uses 200 observations from the High School and Beyond teaching dataset, with demographic variables and standardized test scores. View the dataset documentation and source.
stats.camp is an independent browser-based alternative for a growing subset of common Stata workflows. It does not run Stata itself and does not support every command, option, or community package.
What stats.camp does
- use, import delimited
- Open .dta files, or import CSV, Excel, and Parquet data.
- describe, codebook
- Inspect variables, labels, storage types, and distributions.
- generate, replace, egen
- Create and transform variables using supported Stata expression syntax.
- summarize, tabulate
- Summary statistics and one- and two-way frequency tables.
- regress, logit, ttest
- OLS with factor variables and robust standard errors, binary outcome models, and t tests.
- do-files
- Write and run .do scripts with locals, globals, and loops. Projects can be saved locally in this browser profile between visits.
Who it is for
Students
Practice familiar commands used in many Stata-based empirical-methods courses—on any modern laptop.
Instructors
Run a zero-install lab: share a browser link and let students begin without local installation or license-server setup.
Researchers
Inspect a dataset or rerun a common workflow from anywhere, without waiting for a desktop installation.
Compatibility is still growing
stats.camp independently implements a growing subset of Stata syntax. It does not implement the complete Stata language, all official features, or the community-contributed package ecosystem. Known unsupported commands and options are reported as errors rather than intentionally ignored. Consult the compatibility page before relying on a workflow.
Frequently asked questions
- Is stats.camp Stata?
- No. stats.camp is independently developed software that implements a growing subset of Stata syntax.
- Will every Stata do-file run?
- No. Support varies by command and option. Check the maintained compatibility table before relying on an existing project.
- Are my datasets uploaded?
- Dataset contents are processed locally to execute commands. GitHub synchronization, the AI assistant, and website analytics are separate activities described on the data and privacy page.
Explore common workflows
- Open .dta files online
- Understand where stats.camp fits
- Use supported syntax on a Chromebook
- Run do-files in the browser
- Run regress
- Run summarize
- Import CSV data
- Create variables with egen
- Join datasets with merge
- Create grouped summaries with collapse
- Build frequency tables with tabulate
- Compare group means with ttest
- Create variables with generate
- Change selected values with replace
- Group values with recode
- Convert wide and long data with reshape
- Find duplicate records
- Build summary tables with tabstat
- Calculate correlations
- Calculate pairwise correlations
- Fit logistic regression with logit
- Create model predictions
Ready to start?
Take your next do-file to the browser.
Explore the live demo without an account, then open the app when you are ready to create and sync projects.