Baseline and descriptive tables
Generate Table 1, Table 1a and Table 1b packages with saved category order and descriptive write-ups.
DataStatPro Publication Dashboard helps researchers assemble APA-style statistical tables, generated interpretations, regression summaries, effect-size tables, post-hoc tests and publication figures in one reproducible manuscript workspace linked to the study data.
Best for manuscripts, dissertations, theses, clinical reports, applied research papers and consulting deliverables.
The dashboard is designed for complete manuscript result packages, not isolated statistics. Each artifact stores the variables, options and display settings needed to regenerate the result from the attached dataset.
Generate Table 1, Table 1a and Table 1b packages with saved category order and descriptive write-ups.
Create Table 2 and Table 2a artifacts for categorical and numerical comparisons with p-values and interpretations.
Add linear, logistic and Cox regression tables, comparative regression models and standardized mean difference tables.
Add publication plot artifacts with objective-driven variants, themes, typography, p-values, confidence intervals and saved annotations.
A publication dashboard is more than a static report. It stores the analytical design: selected variables, methods, category ordering, plot variants, labels, themes and write-up settings. When the dataset is corrected, expanded or replaced with an updated version, the dashboard can regenerate the manuscript package from the same saved design.
A manuscript results section often needs several linked outputs. The dashboard keeps those outputs together, ordered, editable and exportable.
| Research reporting task | Separate table tools | DataStatPro Publication Dashboard |
|---|---|---|
| Organize full results section | Manual copy-paste across many pages | One ordered dashboard containing tables, figures and interpretations |
| Preserve category order | May need repeated manual formatting | Saved artifact configuration preserves category and display choices |
| Collaborator review | Usually screenshots or raw files | Read-only share snapshot with generated results and figures |
| Manuscript export | Export each output separately | Export ordered tables, write-ups and figures to Word |
| Revision after data updates | Repeat table creation manually | Regenerate artifacts from saved request and display settings |
| Reproducible research workflow | Analysis choices may be scattered across files, screenshots and notes | Dashboard design, variables, methods, ordering and display settings stay attached to the data |
Use the dashboard as the bridge between statistical analysis and manuscript drafting.
Choose the study dataset that contains outcomes, predictors, grouping variables, categories and time/event variables. The dashboard stores artifact settings against these variables.
Pick the table or figure type, map variables, choose methods and review the generated output.
Reorder artifacts, adjust category ordering, edit plot labels, choose publication themes and preserve display settings.
Save the dashboard to the cloud, create a read-only snapshot link or export a manuscript-oriented Word document. Reopen it later to regenerate outputs after data updates.
The current dashboard focuses on the publication-ready outputs most often needed in applied research, clinical studies, dissertations and statistical consulting reports.
Direct answers for researchers comparing publication reporting workflows.
The DataStatPro Publication Dashboard is a manuscript reporting workspace that combines publication-ready statistical tables, APA-style interpretations and objective-driven statistical figures in one saved dashboard. It is designed for research papers, theses, dissertations, clinical reports and applied analysis reports.
Yes. Publication Dashboard table artifacts include generated APA-style interpretations alongside the rendered table. The dashboard treats each table and write-up as one combined manuscript artifact so the live view, share snapshot and Word export stay consistent.
Supported table artifacts include Table 1, Table 1a, Table 1b, Table 2, Table 2a, Table 3 correlation matrices, regression tables, comparative regression tables, standardized mean difference tables and post-hoc test tables.
Yes. The dashboard supports objective-driven publication plot artifacts, including distribution plots, independent group comparisons, paired comparisons, repeated conditions, continuous association plots, correlation matrices, categorical association plots and regression-effect forest plots.
Yes. The dashboard can export the ordered manuscript package to Word, including publication tables, generated write-ups and rendered figure artifacts when the SVG figure is available in the dashboard.
Yes. Saved dashboards can generate read-only share snapshots. A snapshot contains the generated table rows, write-ups, figure specifications and display settings, so collaborators can view the results without needing the original working dataset.
The Publication Dashboard supports reproducible research by storing the dashboard design, selected variables, methods, category ordering and figure display settings as reusable artifact configurations attached to a dataset. When the dataset is updated, the dashboard can regenerate the tables, write-ups and figures from the saved settings instead of requiring manual recreation.
Combine statistical tables, APA-style interpretations and publication figures in one saved workspace. Attach the dashboard to your data, regenerate the analysis when data change, then share or export the complete results package.