Data Science
Explore the power of regex and save time in data analysis
Data is rarely clean and never in the required structure!!
Whether you are starting with data science or are an experienced professional — You won’t deny the above statement!
In a data analyst’s career extracting actionable insights from data is a critical skill. And often you face challenges with messy, inconsistent, and unstructured data.
As per my experience, traditional data cleaning methods are tedious and error-prone, especially when dealing with massive amounts of data such as in a data warehouse. You spend a couple of hours just to bring this data to its workable state.
But, what if I tell you a single module in Python can make your life easy?
Yes, such features exist.
Python’s re module is all you need.
The re module in Python is a built-in library that supports Regular Expressions or regex. A regular expression is nothing but a pattern which is used to match character combinations in text or string. I found it as a really powerful tool for text processing.
