Is Sytra free for researchers?

Yes. Sytra is free forever for individual researchers. You bring your own API key from OpenAI or Anthropic and pay only for the AI inference costs (typically $0.01-0.10 per query).

Does Sytra upload my data to the cloud?

No. Sytra runs entirely on your local machine. Your .dta files, .csv files, and code never leave your computer. Only the natural language prompt is sent to the AI provider.

What versions of Stata does Sytra support?

Sytra supports Stata 17 and later, including MP, SE, and BE editions.

Graphics

2026-07-0413 min read

graph export in Stata: Formats, DPI, and Journal Requirements

Create graph export stata outputs in Stata with publication-oriented styling, export controls, and interpretation guardrails.

Sytra Team

Research Engineering Team, Sytra AI

You are applying graph export stata under deadline pressure, and one unnoticed data issue can invalidate the full analysis pass.

You will create graphics with data checks, stable styling, and export controls. This guide keeps the path anchored to publishing figures and diagnostics that are interpretable and reproducible.

All examples tested in Stata 18 SE. Compatible with Stata 15+.

Quick Answer

Start with a defined research task before running graph export stata.
Run graph only after preflight checks on keys, types, and missingness.
Audit command output immediately and document expected vs observed counts.
Add a reusable QA block focused on pre-plot validation, layered graph logic, and export reproducibility.

Execution Blueprint: graph export stata for publishing figures and diagnostics that are interpretable and reproducible

Anchor the use case and run preflight checks

This workflow is built for publishing figures and diagnostics that are interpretable and reproducible. A chart can look polished but still mislead if data prep and encoding are inconsistent.

Run a deterministic setup first so every command in later sections executes against known data structure and known variable types.

If you are extending this pipeline, also review regress in Stata: OLS Basics and Correct Interpretation and merge in Stata: 1:1, m:1, 1:m with Match Audits.

graph-export-stata-dpi-formats-setup.do

stata

1clear all
2version 18
3set seed 260210
4set obs 1500
5gen firm_id = ceil(_n/6)
6gen year = 2014 + mod(_n,10)
7gen education = 10 + floor(runiform()*8)
8gen wage = 18 + 0.8*education + 0.15*(year-2014) + rnormal(0,2)
9gen region = mod(firm_id,4) + 1
10label define region_lbl 1 "North" 2 "South" 3 "East" 4 "West"
11label values region region_lbl
12
13* Preflight checks
14assert !missing(firm_id, year)
15assert !missing(wage, education)
16count

. count

💡Use realistic variable names

Keep names like wage, education, firm_id, and year so collaborators can audit logic quickly.

Execute graph with full diagnostics

Run graph as its own block and inspect output before proceeding. This preserves a clean debug boundary and supports peer review.

The command example below is complete and runnable; it is designed to mirror real panel workflows rather than toy x/y placeholders.

graph-export-stata-dpi-formats-execution.do

stata

1clear all
2version 18
3set seed 260210
4set obs 1500
5gen firm_id = ceil(_n/6)
6gen year = 2014 + mod(_n,10)
7gen education = 10 + floor(runiform()*8)
8gen wage = 18 + 0.8*education + 0.15*(year-2014) + rnormal(0,2)
9gen region = mod(firm_id,4) + 1
10label define region_lbl 1 "North" 2 "South" 3 "East" 4 "West"
11label values region region_lbl
12
13* Preflight checks
14assert !missing(firm_id, year)
15assert !missing(wage, education)
16count
17
18* ---- Section-specific continuation ----
19* Core execution block for graph export stata
20twoway (line wage year if firm_id==1), ytitle("wage") xtitle("year")
21graph export figure.png, width(1600) replace
22
23* Immediate output audit
24graph export figure.png, replace

. graph export figure.png, replace

file figure.png saved as PNG format

👁Audit before moving to the next stage

Immediately inspect outputs after each command block to prevent silent pipeline drift.

Harden for production: assertions, logs, and reusable checks

After command execution, enforce pre-plot validation, layered graph logic, and export reproducibility so downstream inference and exports remain stable across reruns.

This final block makes the workflow team-ready: logs are captured, failures are explicit, and diagnostics are repeatable.

graph-export-stata-dpi-formats-qa.do

stata

1clear all
2version 18
3set seed 260210
4set obs 1500
5gen firm_id = ceil(_n/6)
6gen year = 2014 + mod(_n,10)
7gen education = 10 + floor(runiform()*8)
8gen wage = 18 + 0.8*education + 0.15*(year-2014) + rnormal(0,2)
9gen region = mod(firm_id,4) + 1
10label define region_lbl 1 "North" 2 "South" 3 "East" 4 "West"
11label values region region_lbl
12
13* Preflight checks
14assert !missing(firm_id, year)
15assert !missing(wage, education)
16count
17
18* ---- Section-specific continuation ----
19* Production hardening block
20capture log close
21log using graph-export-stata-dpi-formats-qa.log, text replace
22
23twoway (line wage year if firm_id==1), ytitle("wage") xtitle("year")
24graph export figure.png, width(1600) replace
25
26assert !missing(wage, education)
27summ wage education
28count if wage<0
29log close

. summ wage education

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
        wage |      1,500    22.10455    3.512884   11.88422   34.92118
   education |      1,500    13.31867    2.287904          10         17

💡Keep a reusable QA footer

A standard QA footer with assert and count checks prevents repeat debugging in future projects.

Common Errors and Fixes

"option by() not allowed"

The selected graph command does not support this option combination.

Move grouping into layered twoway calls or use graph family with over().

. twoway scatter wage education, by(year) over(region)

option by() not allowed
r(198);

This causes the error

wrong-way.do

stata

twoway scatter wage education, by(year) over(region)

This is the fix

right-way.do

stata

twoway (scatter wage education if year==2019) (scatter wage education if year==2020), legend(order(1 "2019" 2 "2020"))

error-fix.do

stata

1help twoway
2twoway (scatter wage education if year==2019) (scatter wage education if year==2020)

. help twoway

help for twoway graphs opened

Command Reference

graph

Stata docs →

Primary command reference for graph export stata workflows in Stata.

graph export filename, replace

Preflight checksValidate keys, types, and missingness before execution

Execution blockRun the command in an isolated, reviewable section

DiagnosticsInspect output immediately and compare against expectations

QA footerKeep assertions and logs for reproducible reruns

How Sytra Handles This

Sytra can execute graph export stata as a staged workflow: preflight validation, runnable Stata code generation, and QA assertions before final output.

A direct natural-language prompt for this exact workflow:

sytra-prompt.txt

bash

Execute graph export stata for a firm_id-year wage dataset. Use variables wage, education, firm_id, and year. Include preflight checks, runnable Stata code, output diagnostics, and post-command assertions with a log file.

Sytra catches these errors before you run.

Sytra can execute graph export stata as a staged workflow: preflight validation, runnable Stata code generation, and QA assertions before final output.

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FAQ

What is the safest order for graph export stata in a production do-file?

Use a three-step order: preflight checks, graph execution, and post-command assertions. This sequence catches breakpoints before models or exports depend on the result.

How do I verify that graph export stata did not damage my sample?

Track count before and after each transformation, then validate key uniqueness and missingness changes on core variables. Keep those checks in the script, not in ad hoc console runs.

Which Stata versions are compatible with this workflow?

All examples are tested in Stata 18 SE and are compatible with Stata 15+, with installation checks included when community packages are used.

Written by Sytra Team

Research Engineering Team, Sytra AI

We build practical, reproducible workflows for Stata and R teams working on real empirical research pipelines.

#Stata#graph#Graphics

graph export in Stata: Formats, DPI, and Journal Requirements

Quick Answer

Execution Blueprint: graph export stata for publishing figures and diagnostics that are interpretable and reproducible

Anchor the use case and run preflight checks

Execute graph with full diagnostics

Harden for production: assertions, logs, and reusable checks

Common Errors and Fixes

"option by() not allowed"

Command Reference

graph

How Sytra Handles This

Sytra catches these errors before you run.

FAQ

What is the safest order for graph export stata in a production do-file?

How do I verify that graph export stata did not damage my sample?

Which Stata versions are compatible with this workflow?

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