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The main issue for the assignment is that it is impossible to complete it on the basis of information provided by the lessons. See issue #16.
The provided sample data is very limited, making the cross tabulation task, for example, not very informative. As we are using kaggle for this lesson, it would be better to use one of the datasets kaggle provides.
Task 10 looks odd. It asks to concatenate two datasets "along rows". I think this means adding to the end of the rows (axis=1), but that doesn't make sense to me. You end up with multiple columns having the same names. This should be clarified. There is also an instruction to reset the index before concatenation, but that doesn't make sense either. Concatenation is not described in any lesson, but that should be fixed in lesson 3.
The text was updated successfully, but these errors were encountered:
The main issue for the assignment is that it is impossible to complete it on the basis of information provided by the lessons. See issue #16.
The provided sample data is very limited, making the cross tabulation task, for example, not very informative. As we are using kaggle for this lesson, it would be better to use one of the datasets kaggle provides.
Task 10 looks odd. It asks to concatenate two datasets "along rows". I think this means adding to the end of the rows (axis=1), but that doesn't make sense to me. You end up with multiple columns having the same names. This should be clarified. There is also an instruction to reset the index before concatenation, but that doesn't make sense either. Concatenation is not described in any lesson, but that should be fixed in lesson 3.
The text was updated successfully, but these errors were encountered: