Worked on the mlr3pipelines repository to clarify documentation for MAD-based robust scaling, ensuring that users understand the scale parameter relies on the median absolute deviation in line with the stats::mad function. Focused on technical writing and documentation skills, the update addressed potential ambiguities by explicitly stating the use of MAD rather than the mean, supporting more reliable downstream usage without altering the API. Using R as the primary language, the contribution improved user guidance and consistency across the project. The work demonstrated attention to detail in technical communication, enhancing the clarity and usability of the documentation for future users.