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Descriptive data study

Question and data in, a checked description of the data out: the sample and its filters, summary statistics, distributions and associations, figures re-read from the data. A data check stops the run on missing units, duplicate rows, unexplained gaps or missing coverage before anything is computed.

In placeIn e2er 0.16.1empiricaldescriptive
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Input
A research question and data
Output
A checked description of the data (the sample, summary statistics, distributions, associations, figures re-read from the data) as a draft paper with a dossier
At the end
When any run ends, e2er builds the PDF, writes the audit trail and the structured export, and pushes to GitHub if you set that up.

Sources

Methods

John D. Emerson and Graham A. Colditz. Use of Statistical Analysis in The New England Journal of Medicine. New England Journal of Medicine 309(12), 709-713.

David Freedman and Persi Diaconis. On the histogram as a density estimator: L2 theory. Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete 57(4), 453-476.

Rob J. Hyndman and Yanan Fan. Sample Quantiles in Statistical Packages. The American Statistician 50(4), 361-365.

Charles Spearman. The Proof and Measurement of Association between Two Things. The American Journal of Psychology 15(1), 72-101.

Roderick Little and Donald Rubin. Statistical Analysis with Missing Data (3rd edition). Wiley.

Hadley Wickham. Tidy Data. Journal of Statistical Software 59(10).

Steps

Greyed steps do not run in the selected mode.

  1. 1
    Design review
    The researcher reads the plan, the literature and the declared data before anything is loaded.
    your review
  2. 2
    Data check: units, duplicates, missing values
    After the data analyst, before the analysis: units, duplicates, missing values and coverage of every declared table (src/core/pipeline/data_quality.py); writes data_quality.md.
    check
  3. 3
    Figures re-read before the draft
    The figures re-read from the data once the analysis is done, before the paper drafter is dispatched.
    check
  4. 4 specialists
  5. 5
    Improve until it stops getting better
    specialists
  6. 6
    Estimation check
    The results file held to the descriptive contract.
    check
  7. 7
    Figures re-read from the data
    Every figure re-read from the data or results it names.
    check
  8. 8
    Draft review
    The researcher reads the draft before the reviewers.
    your review
  9. 9
    Self-critique
    specialists
  10. 10 specialists, parallel
  11. 11 reviewers, parallel
  12. 12 specialists
  13. 13
    Replication package
    specialists
Technical details

Template id descriptive-study · file pipelines/descriptive-study.toml, checked against pipeline.schema.json.

StepId in the template fileSpecialists
1. Design reviewreview_design
2. Data check: units, duplicates, missing valuesdata_quality_gate
3. Figures re-read before the draftfigures_before_draft
4. Design, data, estimation and draftinitialidea_developer, literature_scanner, data_architect, identification_strategist, econometrics_specialist, data_analyst, paper_drafter
5. Improve until it stops getting betteriterative
6. Estimation checkestimation_gate
7. Figures re-read from the datafigure_gate
8. Draft reviewreview_draft
9. Self-critiqueself_attackself_attacker
10. Polishpolishpolish_numerics, polish_bibliography
11. Review panelreviewdata_reviewer, methods_reviewer, plausibility_reviewer, literature_reviewer, writing_reviewer
12. Revisionrevisionrevisor, patch_revisor
13. Replication packagereplicationreplication_packager

At the end (finalize): compile, audit_export, github_push, structured_export. Modes: single_pass, iterative.

More

Description

Data model
Discipline
General
Method family
Empirical (quantitative)
Design
not specified
Research stage
ReviewRevision and editingReplication
Authors
e2er authors (Software, Methodology)
Usage
not used in published research yet
Source
e2er repository · pipelines/descriptive-study.toml · @d8fd8ab
Record
template:descriptive-study · JSON

Solid tags are declared by the source or mapped from its terms; dashed tags are inferred by a published rule. Hover a tag for its provenance.

Versions and evaluations

One version, unreleased

One version so far: pipelines/descriptive-study.toml in e2er 0.16.1. No evaluation records exist yet.

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Cite this template
Persistent identifiers planned
@software{e2erauthors2026e2erdescriptivedatastudy,
  title   = {e2er descriptive data study template},
  author  = {e2er authors},
  year    = {2026},
  note    = {e2er template. Persistent identifier planned},
  url     = {https://e2er.org/templates/descriptive-study}
}

Connectors this template can use

What a run of this template can reach outside your machine, and what each sends out.

Checks on this template

  • ✓Output contracts · Every step produced the artifact it declared, in the declared form
    Required of every template.
  • ✓Execution reliability · Analysis code ran and wrote a parseable, non-empty result
    Required of every template.
  • ○Numbers · Every number in tables and text matches the output of executed code
    Proposed. Proposed for the floor; runs log it but may not block on it.
  • ○Citations · Every reference resolves to an existing publication via OpenAlex, Semantic Scholar or Crossref
    Proposed. Proposed for the floor; runs log it but may not block on it.
  • ○Verbatim passages · Every claim about a source points to a passage found word for word in that source
    Proposed. Proposed for the floor; runs log it but may not block on it.

Runs of this template

No runs yet.

Use it

Install e2er as described on the Install page, then start a run:

e2er run "<your research question>" --template descriptive-study

From e2er 0.16.1. Get started goes from install to publish.

On e2er.org

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Discussion

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