Data Science
Explore the power of regex and save time on data analysis
The data is rarely clean and never in the required structure!!
Whether you're a data science beginner or a seasoned professional — You can't deny the above statement!
In the job of a data analyst extracting possible insights from data is an important skill. And you often face challenges with messy, inconsistent, and unstructured data.
In my experience, traditional data cleaning methods are tedious and prone to errors, especially when dealing with large amounts of data such as data warehouses. You spend several hours just to bring this data to its working state.
But, what if I tell you one module in Python can make your life easier?
Yes, such features exist.
Python's re module that's all you need.
The re module in Python is a built-in library that supports Regular Expressions or regex. A regular expression is nothing more than a pattern used to match a combination of characters in a text or string. I found it to be a really powerful text processing tool.
