Miller: Like Awk, sed, cut, join, and sort for CSV, TSV, and tabular JSON

Miller is a welcome addition to my toolbox. I just wish it was as 'easy' to use as jq... part of that might be how infrequently I work with CSVs

This is nice. I use `column` for pretty printing CSV/TSV but it fixes two tiny gaps in `sort` (skipping header lines) and `jq` (parsing CSV input. `jq` supports `@csv` for output conversion but not input).

  $ cat example.csv 
  color,shape,flag,index
  yellow,triangle,1,11
  red,square,1,15
  red,circle,1,16
  red,square,0,48
  purple,triangle,0,51
  red,square,0,77
  
  # pretty printing
  $ column -ts',' example.csv 
  color   shape     flag  index
  yellow  triangle  1     11
  red     square    1     15
  red     circle    1     16
  red     square    0     48
  purple  triangle  0     51
  red     square    0     77
  
  # sorting with skipped headers is a mess. 
  $ (head -n 1 example.csv && tail -n +2 example.csv | sort -r -k4 -t',') | column -ts','
  color   shape     flag  index
  red     square    0     77
  purple  triangle  0     51
  red     square    0     48
  red     circle    1     16
  red     square    1     15
  yellow  triangle  1     11

+1 for easy install (`dnf install miller` on my Fedora).

But seems like it cannot handle a simple use case: CSV without header.

$ mlr --csv head -n 20 pp-2002.csv

mlr: unacceptable empty CSV key at file "pp-2002.csv" line 1.

You have to explicitly pass it (FYI `implicit-csv-header` is terrible arg name)

$ mlr --csv --implicit-csv-header head -n 20 pp-2002.csv

While `head` obliges rightly

$ head -n 20 pp-2002.csv