A data analyst discovers that their database has recognized product price data as text strings. What SQL function can the analyst use to convert the text strings to floats? 1 pointCASTSUBSTRTRIMLENGTH
Question
A data analyst discovers that their database has recognized product price data as text strings. What SQL function can the analyst use to convert the text strings to floats? 1 pointCASTSUBSTRTRIMLENGTH
Solution
The SQL function that the data analyst can use to convert the text strings to floats is CAST. Here is a step by step guide on how to use it:
-
Identify the column that contains the text strings. Let's assume the column is called 'product_price'.
-
Use the CAST function to convert the text strings to floats. The general syntax for the CAST function is: CAST(column AS data_type). In this case, you want to convert 'product_price' to float, so you would use: CAST(product_price AS FLOAT).
-
Include the CAST function in your SQL query. For example, if you want to select all product prices and convert them to floats, your query would look like this: SELECT CAST(product_price AS FLOAT) FROM table_name.
Remember to replace 'table_name' with the actual name of your table.
Similar Questions
Question 2A junior data professional notices their Boolean column is incorrectly storing True/False values as strings. What SQL function can the analyst use to convert the data type from a string to Boolean? 1 pointLENGTHCASTSUBSTRTRIM
A data professional converts floats into strings using a predefined function. This is an example of what type of conversion? 1 pointExplicit conversion Mutable conversion Immutable conversionImplicit conversion
Which of the following is not a valid SQL type?FLOATNUMERICDECIMALCHARACTER
What is the data-type of the following expression?'2.9'Select one:intcharstringfloat
Which presentation uses statements with numbers to describe a data?Select one:a.textb.figurec.statistical presentationd.table
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.