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Temporarily remove a link to merge ClickHouse/ClickHouse#81735
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docs/guides/developer/dynamic-column-selection.md

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@@ -6,7 +6,7 @@ description: 'Use alternative query languages in ClickHouse'
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doc_type: 'guide'
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[Dynamic column selection](/docs/sql-reference/statements/select#dynamic-column-selection) is a powerful but underutilized ClickHouse feature that allows you to select columns using regular expressions instead of naming each column individually. You can also apply functions to matching columns using the [`APPLY`](/sql-reference/statements/select#apply) modifier, making it incredibly useful for data analysis and transformation tasks.
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[Dynamic column selection](/docs/sql-reference/statements/select#dynamic-column-selection) is a powerful but underutilized ClickHouse feature that allows you to select columns using regular expressions instead of naming each column individually. You can also apply functions to matching columns using the `APPLY` modifier, making it incredibly useful for data analysis and transformation tasks.
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We're going to learn how to use this feature with help from the [New York taxis dataset](/docs/getting-started/example-datasets/nyc-taxi), which you can also find in the [ClickHouse SQL playground](https://sql.clickhouse.com?query=LS0gRGF0YXNldCBjb250YWluaW5nIHRheGkgcmlkZSBkYXRhIGluIE5ZQyBmcm9tIDIwMDkuIE1vcmUgaW5mbyBoZXJlOiBodHRwczovL2NsaWNraG91c2UuY29tL2RvY3MvZW4vZ2V0dGluZy1zdGFydGVkL2V4YW1wbGUtZGF0YXNldHMvbnljLXRheGkKU0VMRUNUICogRlJPTSBueWNfdGF4aS50cmlwcyBMSU1JVCAxMDA).
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┌─round(avg(fare_amount), 2)─┬─round(avg(di⋯, 1.1)), 2)─┬─round(avg(tip_amount), 2)─┬─round(avg(ehail_fee), 2)─┬─round(avg(mu⋯nt, 2)), 2)─┐
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1. │ 11.8 │ 0.41 │ 1.35 │ 0 │ 28.85 │
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└────────────────────────────┴──────────────────────────┴───────────────────────────┴──────────────────────────┴──────────────────────────┘
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