SQL Queries for Data Analytics

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18 Questions

What is recall in the context of information retrieval?

The ratio of relevant documents retrieved to the total number of relevant documents in the collection

What is the formula to calculate precision?

(Number of relevant documents retrieved) / (Total number of documents retrieved)

What is the purpose of indexing in information retrieval?

To facilitate efficient and quick retrieval of information

What is the relationship between precision and recall?

They are inversely related

What is the formula to calculate recall?

(Number of relevant documents retrieved) / (Total number of relevant documents)

What is an index in the context of information retrieval?

A data structure that maps content to their locations or identifiers

What is the purpose of the 'AS' keyword in SQL?

To rename a column alias

What type of join returns all rows from the left table and the matched rows from the right table?

LEFT JOIN

What is the purpose of the 'GROUP BY' clause in SQL?

To group the result set by one or more columns

What is the purpose of the 'ORDER BY' clause in SQL?

To sort the result set in ascending or descending order

What type of join returns rows from both tables where the join condition is met?

INNER JOIN

What is the purpose of the 'COUNT(*)' function in SQL?

To count the number of rows in a table

What is the purpose of the sed command in the example?

To replace occurrences of 'sed' with 'awk' in the file

What is the main motivation behind working with data?

To predict the future

What is a datum according to the text?

A unit of information

What is the definition of Data Science according to the text?

The theory of principled prediction

What is the output of the sed command in the example?

The modified text printed to the standard output

What is the significance of the quote 'Those who cannot remember the past are condemned to repeat it'?

It underscores the importance of understanding the past

This quiz covers advanced SQL queries for data analysis, including grouping, aggregating, and sorting data. It includes examples of renaming columns, sorting, and calculating averages.

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