Hi Konrad

Thanks for pointing this out. You are right with how the data types are calculated, similar to collection >> commonSuperClass. But this time, it is calculated only during the creation of DataFrame once and for all.
Now coming to the next part, Kindly have a look at the below code.

series := #( nil nil nil ) asDataSeries. series calculateDataType. "UndefinedObject" .

A nil value, or a Series of nil values yields UndefinedObject as its super class. There was an error with the dataset used on that example blog post. I have corrected it now. The problem was that the dataset was not clean, and had some garbage values of different types in that column. This resulted in a column, with type Object .

This was the dataset and specifically the last column resulted in this mistake.

On Sat, Aug 7, 2021 at 9:58 PM Konrad Hinsen <konrad.hinsen@fastmail.net> wrote:

Hi Balaji,

> Please go through the following blog post. Any kind of suggestion or
> feedback is welcome.

That's a nice description, easy to follow. But there is a missing piece:
how do you actually find the dataType for a series of values? My first
guess was that you are using the same method as Collection >>
commonSuperclass, but then a nil value should yield UndefinedObject, not
Object as in your example.

Cheers
�� Konrad.