Formula generator for ERRORTYPE function
The ERROR.TYPE function in Excel returns a number corresponding to the error value in a different cell. It can be used to identify the type of error in a cell and perform specific actions based on the error type.
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How to generate an ERRORTYPE formula using AI.
To obtain information on the ARRAY_CONSTRAIN formula, you could ask the AI chatbot the following question: “To get the ERROR.TYPE formula, you can ask the AI chatbot the following question: "What is the formula to identify the type of error in Excel?"”
ERRORTYPE formula syntax
The ERROR.TYPE function in Excel has a simple syntax: ERROR.TYPE(error_value) The function takes a single argument, which is the error value you want to identify. The error_value argument can be any valid Excel error value, such as #DIV/0!, #VALUE!, #REF!, #NAME?, #NUM!, #N/A, or #NULL!. The function returns a number that corresponds to the error type. The possible return values are: 1 - #NULL! error 2 - #DIV/0! error 3 - #VALUE! error 4 - #REF! error 5 - #NAME? error 6 - #NUM! error 7 - #N/A error You can use the ERROR.TYPE function in combination with other functions to perform specific actions or display custom messages based on the type of error encountered in a formula.
Use Cases & Examples
In certain scenarios, we utilize the ERROR.TYPE formula to identify the type of error that occurs in a cell. This formula assists in identifying errors such as #DIV/0!, #N/A, #VALUE!, #REF!, #NAME?, #NUM!, #NULL!, and #GETTING_DATA!.
Identifying Error Types
Description
In this use case, we use the ERROR.TYPE function to identify the type of error in a cell.
Result
ERROR.TYPE(reference)
Error Handling
Description
In this use case, we use the ERROR.TYPE function along with other functions to handle errors in a formula.
Result
IFERROR(formula, ERROR.TYPE(reference))
Error Reporting
Description
In this use case, we use the ERROR.TYPE function to report the type of error in a cell.
Result
IF(ISERROR(reference), ERROR.TYPE(reference), "No Error")
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Provide Clear Context
When describing your requirements to the AI, provide clear and concise context about the data you have, the specific task you want to accomplish, and any relevant constraints or conditions. This helps the AI understand the problem accurately.
Include Key Details
Include important details such as column names, data ranges, and specific criteria that need to be considered in the formula. The more precise and specific you are, the better the AI can generate an appropriate formula.
Use Examples
If possible, provide examples or sample data to illustrate the desired outcome. This can help the AI better understand the pattern or logic you are looking for in the formula.
Mention Desired Functionality
Clearly articulate the functionality you want the formula to achieve. Specify if you are looking for lookups, calculations, aggregations, or any other specific operations.