Conclusion
The dataset is indicating that female riders are actually likely. In fact, the dataset is indicating the study that is exact opposite of this research might be worthy to explore. The proportion of male riders over age fifty is in fact higher than the proportion of female riders. But it is waiting to be seen whether this difference is significant in its own right. Some of the limitation for this method might include but not limited to: i) whether Citi Bike usage can reflect the true physical conditions. The choice of age over fifty is completely arbitrary and is not supported by any medical research on physical decline and age. ii) The difference in overall size of female and male riders is quite notable in its own right. The male riders have over 300,000 records while the females 80,000 records. This might suggest some other latent uses pattern might exist for gender difference. For example, women might choose to use the bikes less because they are more likely to wear attires that are inconvenient for bike riding.