This is related to #640 and was mentioned there, but I think it merits its own issue.
Including a frequency table along with the summary statistics has the benefit of listing the top N values of a field, along with each value's count , percentage and rank.
For example, using this 1 million row sample of NYC's 311 data :
The frequency table as a CSV (default of top 10 values, with all other values in the "Other" category):
https://github.com/dathere/qsv/blob/master/scripts/NYC_311_SR_2010-2020-sample-1M-frequency.csv
Incorporating the same frequency information along with some summary stats in a JSON file:
https://github.com/dathere/qsv/blob/master/scripts/NYC_311_SR_2010-2020-sample-1M-frequency.json