Q: Which start/stop stations are most popular?

Most Popular Starting Station: ID: 3069, Quantity: 5138

Most Popular Ending Station: ID: 3005, Quantity: 6262

Q: What is the average distance traveled?

The average distance traveled was approximately 1.07 kilometers.

Q: What is the breakdown of Trip Route Category-Passholder type combinations? What might make a particular combination more popular?

I have provided Combinations of : Trip Route Category, Passholder Types, & Plan Duration in all possible ways displayed as Pie Charts. Please visit the Statistical Inferences section to view the statistical data in regards to this: Click Here

Q: How can I get access to the data used for this application?

You can download the data here: Los Angeles Bike Share Analytics Data

Q: Where can I find the code for this application?

You can find the code to this project following this link: https://github.com/pnoonan32/Los-Angeles-Bike-Shares-Analytics

Q: How does ridership change with seasons? Types of passes used, trip duration, etc?

If you look at Most Popular Trip Routes & Regular Commuters The graphs in terms of the shape are relatively the same. In addition, from the seasonal perspective it is clearly evident as time progresses closer to the warmer seasons such as the spring & summer, the number of trip passes & passholder types increases. As the time progresses closer to colder seasons such as late fall & winter, passholder types & trip routes decreases.

However that being said this is certainly not 100% evident as data from April-June are absent, this plays a critical factor in the analysis of bike shares because bikes are predominantly used in the summer so these estimates are specifically based off the data from August 2016 to March 2017.

Q: How come the "Bike-Share-Trip-Path.html" page isn't anywhere in this application?

The Bike Share Trip Path html page contained graphical data. More specifically a map that showed the top 50 bike share paths taken in terms of volume per Station ID on a map in Los Angeles, California using the Plotly API.

The data was successful in terms of creating the actual graph but fails to display offline and online. I have contacted Plotly directly in regards to this manner and hopefully this issue will be fixed in the near future.

Q: How come I can't view the plotly graphs on my phone?

For some reason the Plotly Graphs are difficult to set for mobile devices depending on the types of graphs used. For this reason this application is primarily for laptop/desktop screen sizes.