Data mutations presents a series of data-driven 3D printed objects created for Design Informatics, as part of a research project on data inequality in Edinburgh. The data used here is based on the Scottish Index of Multiple Deprivation (SIMD) in 2016. The SIMD data measures the city's deprivation areas according to the following categories: income rate, employment rate, crime rate/count, housing rank, health rank, education rank, drug, alcohol, depression, to name a few. Due to the extensive data within the archive and computational limitations, the generated works here focuses mainly on drug and alcohol consumption values across 8 sites in Edinburgh, namely, Calton hill, Leith, Fountainbridge, Old town, New town, Stockbridge, Meadows and Morningside as the input categories for design exploration. The design method uses agent-based simulation for visualising the chosen data values from virtual particles to three dimensional time-based forms, later digitally fabricated.  Rather than an accurate representation, the project explores data through a speculative inquiry, where data is not merely a fixed numerical value that is immaterial, rather, a pervasive entity that evolves over time. The design harnesses the mutations of data from one translation to another to unfold the morphological possibilities of thinking about the tangible qualities of data.