An analyst wants to identify rows with states having a three-character abbreviation instead of standard two characters as part of data cleansing. Which Structured Query Language (SQL) statement will perform this function?
LENGTH statement
The LENGTH statement is used to determine the number of characters in a string. In this case, it can be employed to identify rows with state abbreviations that have three characters, allowing the analyst to effectively filter out the standard two-character abbreviations during data cleansing.
The WHERE statement is a filtering clause used in SQL to specify conditions that rows must meet to be selected from a database table. While it can be used in conjunction with other functions to filter data, it does not directly measure or identify the length of string values, making it insufficient by itself for this specific task.
This statement directly checks the character count of a string, making it ideal for identifying state abbreviations with three characters. By using LENGTH in conjunction with a WHERE clause (e.g., `WHERE LENGTH(state_abbreviation) = 3`), the analyst can effectively isolate only those rows that meet the specified condition.
The DISTINCT statement is used to return unique values from a column, eliminating duplicates from the result set. It does not assess the length of string values, so it cannot be used to identify rows based on the number of characters in the state abbreviations.
The TRIM statement is employed to remove leading and trailing spaces from a string. Although it can clean up data, it does not evaluate the length of the string itself or help in identifying whether the abbreviation is three characters long. Therefore, it is not suitable for the analyst's requirement.
To identify rows with three-character state abbreviations, the LENGTH statement is the most effective SQL function, as it allows for direct measurement of string lengths. While other statements like WHERE and DISTINCT serve different purposes, they do not facilitate the specific identification of string lengths needed for this data cleansing task. Thus, the LENGTH statement combined with a WHERE clause provides the necessary functionality for accurate filtering.
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