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Verify data structure
Blindly importing data is dangerous. It is good practice to understand your data before import. Know its structure, and its data types. Some attention to this on the front end will save effort on the development side. For import into Infor AI, your data must be in some delimited form, usually CSV. Tab separated data can also be read, or a custom delimiter can be used. Understanding which variables (columns) are numeric and which are strings is an important distinction as well. Infor AI will make some assumptions on datatypes, but in the end, you are the keeper of the data and should verify datatypes.
Additionally, pay attention to any special datatypes like date formats and time formats. These formats are often read in as strings and it takes some processing to treat them as date/time data.
Select the appropriate delimiter before data input. You will also have the opportunity to define any custom data formats. These are particularly important for data and time data as there are many accepted formats for such data. Identifying the format early will help process the data later. While certainly not an exhaustive list, common datetime formats can be found here for reference.
Your data should also be structured such that each variable is a column and each observation (or case) is a row. Your data may optionally have a header which gives names to each variable.
It is also best practice to have done some data investigation at this point. Understanding the extent of missing values, value distribution, and correlations in your data will help develop better machine learning models.