[aschellewald] ezrsurvey 0.7.1

aschellewald@acm.org (Andreas Schellewald) — Wed, 04 Nov 2026 21:40:02 GMT

Simplifies the day-to-day work of research and insights professionals who analyse consumer and customer survey data but have limited coding experience. Wraps common 'tidyverse' patterns into single-line functions for the tasks these teams repeat constantly: loading and combining survey exports, turning questions into percentages and summaries, recoding rating and Net Promoter scales, deriving demographics such as age cohorts and regions, modelling the drivers of satisfaction, checking sampling precision, selecting illustrative open-text comments, and producing presentation-ready charts and reports. A simulated consumer-survey dataset is included for learning and examples. Weighting rakes to target margins as in Deming and Stephan (1940) and reports the design effect of Kish (1965, ISBN:978-0-471-10949-5); driver models use the relative weights of Johnson (2000) or the random forests of Breiman (2001) ; the Net Promoter Score follows Reichheld (2003) ; and diverse comments are chosen by maximal marginal relevance as in Carbonell and Goldstein (1998) .

aschellewald.r-universe.dev

[aschellewald] ezrsurvey 0.7.1