HEALpixes are a powerful method of dividing the sky into equiangular regions and cleverly enumerating them. In particular when doing statistical analyses over larger areas of the sky, there rarely is a good reason to invent any other scheme – indeed, if you have ever done non-trivial things with Gaia source_ids, you have worked with HEALPixes. On top of them, the Virtual Observatory has defined Multi-Order Coverage maps, or MOCs for short. These turn dealing with complicated, possibly non-connected areas on the sky from an extremely painful exercise into simple operations between integer sets. You can now use both of these things from ADQL (at least on some TAP servers), and you can use them to plot your results in TOPCAT (or pyVO). This talk will show you how.