When running K-Means clustering, Factor Analysis, or Principal Component Analysis, you may encounter the following error:
There are not enough columns after removing the columns with only NA or a single value
This error occurs when the selected variables contain missing values, which causes the corresponding rows to be excluded from the analysis. As a result, there may no longer be enough data to perform the analysis. Alternatively, the error may occur when one of the variables contains only a single unique value from the outset.
To address this error, consider the following actions:
- Remove columns with a high proportion of missing values from the analysis.
- Impute missing values beforehand.
- Exclude any variables that contain only a single unique value.
By applying these steps, you can check whether the issue is resolved and proceed with the analysis.