Regular Expressions in Data Analytics
Discuss the importance of regular expressions in data analytics. Also, discuss the differences between the types of regular expressions.
Choose two types of regular expressions… For example, [brackets] (Matches the enclosed characters in any order anywhere in a string) and * wildcards (Matches the preceding character 0 or more times) and discuss the differences between the two.
Please be sure to include two or three differences for each. Include how they help manipulate data.
Note:
APA format
400-500 words
Answer preview
In data analytics, regular expressions consist of the grouping of characters or symbols which conveys programming language that data analysts use to solve problems or search texts. According to Bakar (2014), this is a concept that Stephen Kleene introduced in the year 1956 to create flexible and efficient text-processing patterns. Each character used has a specific meaning; hence, the execution should be precise to prevent…
(450 words)