Analyzing ridership behaviour
At Citibike, understanding ridership behavior is key to ensuring reliable access to our bikes. This means we need to understand the ridership peak and non-peak periods for our different customer groups (casual members / annual members ).
Now, we've heard rumors that our paying members can't always access bikes during weekdays at peak times due to suspected heavy usage by casual riders.
Let's determine if this is true with some data driven analysis!
If you lost progress, load the workbook 1_6_analyzing_ridership_behaviour.twbx
from the Exercises folder on the Desktop
Diese Übung ist Teil des Kurses
Time Series Analysis in Tableau
Interaktive Übung
In dieser interaktiven Übung kannst du die Theorie in die Praxis umsetzen.
