Master SQL for Data Analysis - Searching Patterns (Wildcards)

The video tutorial explains the use of search patterns in string-type columns for data analysis. It covers the use of wild card characters, such as the underscore and percent sign, to match parts of a value. The tutorial provides examples of using the LIKE operator to find specific patterns in text data, such as titles that begin or end with certain characters. Advanced techniques for filtering text information in columns are also discussed, concluding with a summary of filtering conditions.

What is the primary purpose of using search patterns in data analysis?

• To delete unwanted data from a column

• To search and identify specific patterns within text data

• To sort data in ascending order

• To modify the data in a column

Which wildcard character is used to represent a single character in a search pattern?

• The question mark (?)

• The asterisk (*)

• The percent sign (%)

• The underscore (_)

How does the percent sign (%) wildcard function in a search pattern?

• It matches a fixed number of characters

• It matches a single character

• It matches a variable number of characters

• It matches only numeric characters

In a search pattern, what does the LIKE operator do?

• It deletes data that matches the pattern

• It sorts data that matches the pattern

• It duplicates data that matches the pattern

• It finds data that matches the pattern

Which search pattern would you use to find titles containing the word 'top' anywhere in them?

• LIKE 'top_'

• LIKE 'top%'

• LIKE '%top%'

• LIKE '_top_'