uwot | R package implementing the UMAP dimensionality reduction | Data Visualization library

sorry if this is a rookie question and the long post. Thank you in advance. So I have a dataset of 88250 rows 131 columns, rows are observations and columns are labels and variables (column 1:21 are labels characters and 21:131 are variables doubles). I was trying to use UMAP from UWOT library to visualise and later perform supervised training. Now the first thing I tried to do is to tune the parameters for the UMAP model, namely n_neighbors and min_dist. UMAP output will be a table of X and Y coordinations and I can attach them onto my data frame then plot them. Here are the codes for one set of parameter chosen and I could plot a scatter plot and convert it to a 2D density plot to visualise differences in different treatments, hence the facet_wrap.