The script supports Chapter 5 subsection 2 titled: “Trypanocide advancements and challenges in Uganda” from my PhD thesis titled: Exploring trypanocide resistance: Lessons from Uganda (2024). This describes data (referenced as “trypCounterfeit”) were the quality of trypanocides i.e., diminazene aceturate (DA), isometamidium chloride (ISM) and homidium bromide (HB) are descriptly presented. The samples were collected from 45 drugshops and subjected to visual inspection against counterfeits. Using the USP and the International Pharmacopoeia as a guide, a customized visual schematic screening flowchart was developed and customized for the drugs inspected since Uganda lacks a local pharmacopoeia for reference. Products were compared against information available online at the National Drug Authority (NDA) registar for 2018 and 2023. Items which passed all the visual inspection criterion on origin, age, indications, dosaging, batch numbers, brand, manufacturers address, factory address through a manual and digital inspection of the labelling information were clustered into standard or suscipious counterfeits. This approach was important since its practical and cheaper compared to analytical techniques which are capital intensive. The R script uses the pacman, party, rio and tidyverse packages. Information is described as appropriate, and visualizations were made based on location and having an upto date NDA registration status at the time of the survey.