PAR Tables & Figures
Designs self-contained, accessible, and practitioner-ready tables and figures tailored for Public Administration Review manuscripts.
Designed for researchers preparing manuscripts for Public Administration Review (PAR), this skill guides the creation of self-contained, publication-ready tables and figures that clearly communicate effect magnitudes and uncertainty to both academic reviewers and public sector practitioners. It establishes standards for visual accessibility, colorblind-safe styling, grayscale legibility, and reproducible script-based exhibit generation, while providing clear criteria for allocating exhibits between the main text and online supplementary appendices.
Key Features
01Ensure accessibility compliance with colorblind-friendly palettes and grayscale-legible styling
02Design self-contained exhibits with complete sample sizes, units, estimators, and contextual notes
03Streamline reproducible exhibit generation aligned with open science and TOP transparency guidelines
04Convert dense coefficient tables into intuitive marginal-effects, event-study, and predicted-probability plots
051,090 GitHub stars
06Strategically allocate exhibits between main manuscript text and online supplementary materials
Use Cases
01Revising manuscripts in response to reviewer pushback regarding uninformative, cluttered, or non-self-contained exhibits
02Preparing publication-ready empirical figures and regression tables for PAR manuscript submissions
03Translating complex statistical models into interpretable effect sizes for public administration practitioners