francoisromain
commented
9 years ago - based on startdate - enddate
- popularity of stations - draggable bubbles..
- distance travelled by any bike by ID
- something with weather data
- pie chart ..
- correlation between number of bikes and weather and zipcode *usage by day across days of the week.