Nice series, I would have kept the breakdown of the fares for example a large tip might skew the total amount. Also it would be good to explore tipping behaviour are individuals more likely to tip or groups day or night etc. Maybe I’ve missed some of the series
On what basis are columns selected or rejected ? Is the Data first explored a little and then columns are selected or is the column selection process is done beforehand
Thank you for this wonderful tutorial,
you are doing an amazing job,
please continue educating us.
This is very cool. Those first few lines of code for data exploration are super useful.
Thanks, I like your tutorials very much. Hope to see more 🙂
Great series started learning from this Thank You
Nice series, I would have kept the breakdown of the fares for example a large tip might skew the total amount. Also it would be good to explore tipping behaviour are individuals more likely to tip or groups day or night etc. Maybe I’ve missed some of the series
Great suggestion!
On what basis are columns selected or rejected ? Is the Data first explored a little and then columns are selected or is the column selection process is done beforehand
the are 56 trips that have a negative duration