With the rise of bike sharing services such as VeoRide and Santander, it's becoming increasingly valuable for private bike sharing companies and tourism offices to analyze bike sharing trends.
Here, we take a deep dive into the London transport authority's 2015-2017 dataset to find out whether the weather type, time of year, and time of day impact the number of new bike shares per hour.
Use the "Chart Navigation" buttons to navigate between charts. Keep an eye out for annotations and opportunities to interact as you go.
Dataset: London bike sharing dataset | Kaggle, Weather icons: Free animated SVG weather icons | amChartsHover over a bar to get more information about that hour.
Avg. Shares | - |
Avg. Temp. | - |
Avg. Humidity | - |
Avg. Wind | - |
Work hour? | - |
Day or Night? | - |