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Text Processing Pipeline

Build powerful text processing pipelines combining sed, awk, tr, grep, and sort.

Step 1

Start by converting CSV to a readable table format using sed to replace commas with pipes.

Type: cat documents/sales.csv | sed 's/,/ | /g'

cat documents/sales.csv | sed 's/,/ | /g'

Step 2

Extract unique product names from sales.csv (skip header) using awk, sort, and uniq.

Step 3

Find the most-accessed URLs: grep GET requests, extract URLs with awk, count occurrences, sort by count.

Step 4

Count the number of ERROR entries in the access log using grep and wc.

Step 5

Normalize names to uppercase, then sort and deduplicate using tr, sort, and uniq.

Step 6

Find the top 3 products by revenue: extract product and revenue with awk, sort numerically, take top 3.