group by

USAGE SUMMARY

"group by" is correct and can be used in written English.
It is commonly used in SQL statements to specify how to group related rows of a table. For example: SELECT Country, SUM(Profit) FROM Sales GROUP BY Country;.

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

55 human-written examples

} GROUP BY ?citationCategory ?classLabel.

Nature

GROUP BY ?uniprot_id.

Journal of Cheminformatics

Regarding "Cuba Opens Up, Group by Group" (Sept.

The New York Times - Travel

Hughes addressed the group by speakerphone.

The New Yorker

He said the abductions took the group by surprise.

The New York Times

I chat to a young group by the pool.

The Guardian - Music

Human-verified similar examples from authoritative sources

Similar Expressions

5 human-written examples

Group-by-age interactions were examined.

Duke University

World Cup 2014: Group-by-group schedules.

Los Angeles Times

Feature selection was performed on a group-by-group basis.

BioMed Research International

The hypothesis of interest was the group-by-time interaction.

Disease Markers

Subscribe to cpus-group by filling out the following form.

Stanford University

Expert writing Tips

Best practice

When using "group by" in SQL, ensure that all non-aggregated columns in the SELECT statement are included in the GROUP BY clause to avoid unexpected results.

Common error

Avoid the common error of selecting columns that are not part of the "group by" clause or used in an aggregate function (e.g., SUM, AVG, COUNT). This can lead to incorrect or misleading results.

Linguistic Context

The phrase "group by" functions as an SQL clause used to aggregate rows with similar values in a database table. As evidenced by Ludwig, it is a fundamental operation for data analysis. It is used to segment data for aggregate calculations.

Expression frequency: Very common

Frequent in

Science

35%

News & Media

25%

Formal & Business

20%

Less common in

Wiki

10%

Academia

5%

Reference

5%

Ludwig's WRAP-UP

The phrase "group by" is a fundamental SQL clause used to aggregate data in databases. Ludwig AI confirms its grammatical correctness and widespread use in technical contexts. It functions to summarize and analyze data by grouping rows with similar values, enabling aggregate calculations for insightful data extraction. While primarily used in formal and scientific domains, it also appears in news and media, indicating its relevance across various sectors.

When employing "group by", remember to include all non-aggregated columns in the clause to avoid syntax errors and unexpected results. Distinguishing it from the "order by" clause, which simply sorts the data, is crucial for accurate data manipulation. By following these guidelines, you can effectively leverage "group by" for robust data analysis."

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

cluster by

This term suggests forming clusters or subgroups based on similarity, often used in data analysis.

sort by

This phrase emphasizes arranging items in a specific order, rather than grouping them.

categorize by

Focuses on assigning items to predefined categories, a broader term than grouping.

classify by

Similar to categorize, but often implies a more formal or scientific classification system.

segment by

Suggests dividing a larger population or market into distinct segments with shared characteristics.

arrange by

Implies a specific order or layout, potentially visual or spatial, not necessarily grouping.

stratify by

This term implies creating layers or levels based on a specific variable, often used in statistics and research.

organize by

A general term for putting things in order, which may or may not involve grouping.

divide by

Suggests splitting a whole into parts, often numerically or physically, not necessarily based on shared traits.

separate by

Focuses on distinguishing and keeping things apart, rather than forming cohesive groups.

FAQs

How is "group by" used in SQL queries?

The "group by" clause in SQL is used to group rows that have the same values in one or more columns into a summary row, allowing you to apply aggregate functions like COUNT, SUM, AVG, MIN, or MAX to each group.

What is the difference between "group by" and "order by" in SQL?

"Group by" organizes rows with the same values into groups for aggregate calculations, while "order by" sorts the result set based on specified columns.

Can I use multiple columns in a "group by" clause?

Yes, you can use multiple columns in a "group by" clause to create more granular groupings based on combinations of values from those columns.

What happens if I select a column that is not in the "group by" clause or an aggregate function?

In most SQL implementations, selecting a non-grouped, non-aggregated column will result in an error. However, some databases might return an arbitrary value from that column for each group, which is generally discouraged. It's better to add this column to the "group by" clause or use an aggregate function.