This report has two types of validations: 1) rule-based validations and 2) forecast-based validations. Rule-based validations check if values are within ranges, are correct relative to one another, and are not out of range for certain numbers of observations. Forecast-based validations start with creating a timeseries model of the data back to 2003. These models are updated and used to forecast the current day. The observed data is then compared to the forecast data, and if they are very different the data is flagged.
This project uses renv for package management. When opening this repo as an RStudio Project for the first time, renv should automatically install itself and prompt you to run renv::restore() to install all package dependencies.
To contribute to this project, please create a new branch for your changes and make a pull request. One easy way to do this from within R is with the usethis package and the pr_* functions. pr_init("branch-name") begins a new branch locally, pr_push() helps you create a new pull request, and after it is merged you can use pr_finish() to clean things up. More about this workflow here.