Tomaz Kastrun looks at some new functionality in Power BI which might interest data analysts:
Small multiples is a layout of small charts over a grouping variable, aligned side-by-side, sharing common scale, that is scaled to fit all the values (by grouping or categorical variable) on multiple smaller graphs. Analyst should immediately see and tell the difference between the grouping variable (e.g.: city, color, type,…) give a visualized data.
In Python, we know this as trellis plot or FacetGrid (seaborn) or simply subplots (Matplotlib).
In R, this is usually referred to as facets (ggplot2).
Read on for an example of this, as well as two other features, as well as how you might have worked with these ideas in Python and R.