Right now I’m doing the Data Cleaning Basics guided project but I’m getting confused. The instructions are clear like do this then do that, and even tough I know how to do it, i don’t know why I have to do what I’m being told without a question?
Example would be “we would like to know what car brand has the most expensive cars on average?”
Because some new methods like the
Series.value_counts(normalize = True) where its just presented in the middle of the instructions without a reason why to use it i get confused.
I hope that’s not too confusing.
I may have a biased thought process over here.
However, sometimes it’s okay to face these pieces of codes. They give you a chance to experiment with them.
For this example, try to do the following and see the difference:
1st Try : Series.value_count()
2nd Try : Series.value_counts(normalize = True)
Just in case, Normalize calculates and gives the value counts as a Percentage, of an element in series.