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!
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Time Series Analysis in Tableau
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