Question

1. Discuss the importance of regular expressions in data analytics.

2. Also, discuss the differences between the types of regular expressions.

3. 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 and include how they help manipulate data.

Need 300 words with no plagrism

Answer 1

importance of regular expressions in data analytics

Explanation:

Here is the answer :

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Importance of regular expresions. data analylics: Inchta analytic the regular expression can he used to fmd a matching string or pattern, or to find and replace a string or for the validation of the input. Several platforms such as SQL,R,PYTHON etc support the regular expression For uample suppose in a document I need to replace the string 101. by 111, using regular expression it is easy to search and replace. Search engines make use of regular expression The text editors make use of regular expression to search and replace the text

Two types of regular expression

*

-Matches 0or more times the preceding character

-It is wildcards

-Example 01* matches with 0,01,011,01111,011111 etc

-Mostly used in the shell commands

Square bracke.

-Matches with string that contains one, the characters in the bracket in any order

-It is Groups

-Example Exa[ 123] matches with Exa1, Exa 2, Exa 3