SQL for Beginners and Data Analyst – Chapter 39: SQL Group By vs Distinct

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SQL is a widely used programming language for managing and manipulating data stored in relational databases. One of the most common tasks in SQL is grouping data based on specific criteria. When grouping data, you often need to choose between two main concepts: the SQL “GROUP BY” clause and the “DISTINCT” keyword.

The “GROUP BY” clause is used to group data in a table based on one or more columns. The “GROUP BY” clause allows you to group data based on specific values in the columns, and then aggregate the data to calculate summary statistics such as count, sum, average, and more. For example, you might want to group data based on the “year” column in a table, and then calculate the total sales for each year.

The “DISTINCT” keyword, on the other hand, is used to remove duplicate values from a table. When using the “DISTINCT” keyword, SQL will return only unique values from the table, and will not repeat any values that are already present. For example, you might want to remove duplicate customer names from a table, and only display a list of unique customer names.

So, when should you use “GROUP BY” and when should you use “DISTINCT”? The choice between the two depends on your specific needs. If you want to group data and calculate summary statistics, then you should use the “GROUP BY” clause. If you want to remove duplicate values from a table, then you should use the “DISTINCT” keyword.

SQL for Beginners and Data Analyst – Chapter 39: SQL Group By vs Distinct

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