Explain the following command pipeline, and provide an example use case.
```cat names.txt | cut -f2 | uniq -c | sort -r | head -n3```
The command pipeline performs the following operations:

- Reads a file named names.txt using the command cat
- Extracts the second field/column of each line using the command cut
- Counts the number of unique occurrences of each extracted field using the command uniq -c
- Sorts the output in reverse order using the command sort -r
- Selects the top 3 entries using the command head -n3

An example use case would be analyzing a CSV file that contains customer information. We can use this pipeline to extract the frequency of customers by their last name, sort them in descending order, and get the top 3 most frequent last names in the file.
Thanks. Can you suggest three more use cases of that?
Of course! There are many things which could be listed in a file named `names.txt` that have two fields/columns. Note that without a deliminator argument (`-d`), the `cut -f2` command will return the second word in each line, separating by spaces. That makes this pipeline of commands suitable for processing a `names.txt` file to finding the three most common entries for many things other than last names. Three more example use cases would be:

  - The three most common types of fruit in a list of names of cultivars (e.g. 'apple' from 'fiji apple', 'golden apple', 'gala apple')
  - The three most common states or provinces in a list of city names (e.g. 'AL' from 'Birmingham, AL', 'Montgomery, AL', 'Mobile, AL')
  - The three most common product line in a list of a product names (e.g. 'Galaxy' from 'Samsung Galaxy s22', 'Samsung Galaxy Z Fold 4', 'Samsung Galaxy A53')

Similar pipelines with different parameters for the `cut` command could be used to handle many more different kinds of data.
How can I use more piping to improve my terminal experience?