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There’s no explanation of what .values does in the Data Science course. I don’t understand why it’s necessary and this awful platform does nothing to help you.
From what I’ve gathered adding .values converts a series in a data frame to a list of values (array).
Though no real explanation was given, this method was used in exercise 2 (What cuisines does FoodWheel offer) to get the values from a series and use them as labels in the pie chart.
Hey can someone explain why we have to select the price values for the hist?
Since I thought that it was already included in the customer_amount variable
It’s a shame that I’m finding so many errors or inconsistencies within the data science career path lately. Up until recently it has been great, however now I’m finding some really discouraging issues including but not limited to the following:
some critical info has not been taught to complete the given exercise or is (for the first time) mentioned in a “hint” for that exercise.
if there is a different (correct) way to write the code than what is expected in the exercise, the parser rejects the input as invalid code – different than sending a simple message to the user that an alternate input syntax is desired.
inconsistencies with having to import libraries at the start of the exercise