In this project we will use data-driven methods to obtain a large abundance census of dwarf galaxies using low-quality data previously not tapped into, to learn how galaxy properties connect to abundance distributions. We will use MUSE and LVM (IFU data that we can get resolved spectra out from) for at least 10 individual dwarfs to learn their abundances in 6 or more elements and then connect the abundance trends to their global properties like mass and star formation history.