Here are three more use cases for the command pipeline:

  1. Analyzing log files: If you have a log file with entries containing user actions (e.g., login, logout, error, etc.) in a tab-separated format, you can use this pipeline to find the top 3 most frequent actions in the log file.



Example log entry format: `2023-03-19 12:00:00 login user1`

Command pipeline: `cat log_file.txt | cut -f2 | uniq -c | sort -r | head -n3`

  2. Analyzing a list of URLs: If you have a file containing a list of URLs, you can use this pipeline to find the top 3 most frequently visited domains.



Example URL list format: `https://example.com/some-page` `https://another-example.com/some-other-page`

Command pipeline: `cat url_list.txt | cut -d'/' -f3 | uniq -c | sort -r | head -n3`

  3. Analyzing programming language usage: If you have a file with a list of software projects and the programming languages they use, you can use this pipeline to find the top 3 most frequently used programming languages.



Example file format: `Project1 Python` `Project2 Java` `Project3 JavaScript`

Command pipeline: `cat projects.txt | cut -f2 | uniq -c | sort -r | head -n3`
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