3 packages on CRAN
1 packages on GitHub
The Datasaurus Dozen is a set of datasets with the same summary statistics. They retain the same summary statistics despite having radically different distributions. The datasets represent a larger and quirkier object lesson that is typically taught via Anscombe's Quartet (available in the 'datasets' package). Anscombe's Quartet contains four very different distributions with the same summary statistics and as such highlights the value of visualisation in understanding data, over and above summary statistics. As well as being an engaging variant on the Quartet, the data is generated in a novel way. The simulated annealing process used to derive datasets from the original Datasaurus is detailed in "Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing" <doi:10.1145/3025453.3025912>.
Utilising the 'Have I been pwned?' API (see <https://haveibeenpwned.com/API/v2> for more information), check whether email addresses and/or user names have been present in a publicly disclosed data breach.
This fills the gaps credit analysts and loan modellers at Optimum Credit identify in the existing R code body. It allows for the production of documentation with less coding, replicates a number of Microsoft Excel functions useful for modelling loans (without rounding), and other helpful functions for producing charts and tables. It also has some additional scales for use, including a GBP scale.
From presentations to hands-on learning materials, this package contains materials written by Steph Locke of Locke Data.