In case you were confused about the logarithm trick, here's what I think it's trying to say. This hypothetical system has a bunch of users, belonging to groups

In case you were confused about the logarithm trick, here's what I think it's trying to say. This hypothetical system has a bunch of users, belonging to groups. A possibility is that most groups have a only handful of users, but a few famous group might have disproportionate amount of users say 500,000. If you wanted to put these groups in buckets, you can create linear buckets of fixed size based on number of users like bucket 1: 0 to 100 users bucket 2: 101 to 200 users bucket 3: 201 to 300 users ... bucket 600000: 599001 to 600000 users Now the problem is you have way too many buckets, and most of them are probably empty. In situations these "buckets" actually cost you money, you might want to optimise the number of buckets. So the code converts the user distribution to logarithmic scale: const bucket = Math.floor(Math.log10(userInGroupCount)) This essentially creates buckets as number of digits: bucket 1: 0 to 9 users bucket 2: 10 to 99 users bucket 3: 100 to 999 users bucket 4: 1000 to 9999 users bucket 5: 10000 to 99999 users bucket 6: 100000 to 999999 users With this, you have needed only 6 buckets. Moreover, this probably maps to the real life distribution, so your charts read cleanly.