Word frequency: Difference between revisions

=== Original + URL import ===

This is Doug McIlroy's original solution but follows other solutions in importing the task's text file from the web and directly specifying the 10 most commonly used words.

<lang zsh>curl "https://www.gutenberg.org/files/135/135-0.txt" | tr -cs A-Za-z '\n' | tr A-Z a-z | sort | uniq -c | sort -rn | sed 10q</lang>

{{Out}}

<pre>41096 the

19955 of

14939 and

14558 a

13954 to

11218 in

9649 he

8622 was

7924 that

6661 it</pre>