Some datasets are more complicated than others. The following reasons may be why Darwin is returning an error.
- The quality of the dataset you are trying to create a model with needs to be edited for Darwin to use.
- What does this mean? If you open the data viewer on your dataset and there are little to none green-labeled columns that means your dataset has something that is either contains bad data or it is not clear to Darwin what data type the column is.
- How to fix this. Correct the data, whether it's setting the correct data type Darwin should treat a column as, adding in values to columns missing data, or simplifying your dataset to use one specific type of dataset. If the dataset improves in the quality you should see some green columns appear in the data quality bar and the number of yellow and red columns decreases.
- Your column headers are missing/have bad characters.
- What does this mean? If your dataset does not have column headers and the first row is your data Darwin will more than likely return an error. If your Column contains characters like #%^& etc. Darwin may return an error.
- How to fix this. Make sure each of your columns has a column header at the top. Make sure that the columns are clearly labeled having specific names ie: Column One, Column 1.
IF you have gone through both steps and are still encountering issues with your dataset please send your dataset, username, and a description of your problem/use-case to email@example.com. Our support team will answer your Darwin questions ASAP.