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joachim-gassen
ExPanDaR:Explore Your Data Interactively
Provides a shiny-based front end (the 'ExPanD' app) and a set of functions for exploratory data analysis. Run as a web-based app, 'ExPanD' enables users to assess the robustness of empirical evidence without providing them access to the underlying data. You can export a notebook containing the analysis of 'ExPanD' and/or use the functions of the package to support your exploratory data analysis workflow. Refer to the vignettes of the package for more information on how to use 'ExPanD' and/or the functions of this package.
Maintained by Joachim Gassen. Last updated 4 years ago.
accountingedaexploratory-data-analysisfinanceopen-sciencereplicationshinyshiny-apps
156 stars 7.80 score 203 scripts
jessesadler
debkeepr:Analysis of Non-Decimal Currencies and Double-Entry Bookkeeping
Analysis of historical non-decimal currencies and value systems that use tripartite or tetrapartite systems such as pounds, shillings, and pence. It introduces new vector classes to represent non-decimal currencies, making them compatible with numeric classes, and provides functions to work with these classes in data frames in the context of double-entry bookkeeping.
Maintained by Jesse Sadler. Last updated 2 years ago.
accountingdigital-humanitieseconomic-historyhistory
9 stars 5.51 score 24 scripts
iangow
farr:Data and Code for Financial Accounting Research
Handy functions and data to support a course book for accounting research. Gow, Ian D. and Tongqing Ding (2024) 'Empirical Research in Accounting: Tools and Methods' <https://iangow.github.io/far_book/>.
Maintained by Ian Gow. Last updated 2 months ago.
17 stars 5.05 score 66 scripts