Several years ago Kaggle released a competition related to animal shelter outcomes. The goal of the competition was to determine if the Austin Animal Shelter (AAC) could reasonably predict the outcome (death, adoption, transfer to another facility, etc.) of a pet brought to their shelter.
Having volunteered at AAC in the past, I took an initial stab at analyzing the data in Python. Several years later I revisited the data and performed a similar analysis in R as part of my Master's program. Attached is the code for both analyses - they are not meant to be exact copies but rather separate stand-alone entities. The raw data used can be found on Kaggle's website.