Summary
In this chapter, you were introduced to the basics of how to use regexes. Using the bare minimum, you were able to effectively validate strings representing email addresses and dates in Power BI, using both Python and R.
Additionally, you learned how to extract information from semi-structured log files through the use of regexes, and how to import the extracted information, in a structured way, into Power BI.
Finally, you learned how to use regex in Python and R to extract information from seemingly unprocessable free text thanks to the real-world case of notes associated with sales orders.
In the next chapter, you'll learn how to use some de-identification techniques in Power BI to anonymize or pseudonymize datasets that show sensitive data about individuals in plain text before they are imported into Power BI.
