Ford GoBike Riders Data Jan. 2019 & Jupyter Notebooks

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I have been thinking about personal projects to undertake to learn more about Jupyter Notebooks, Numpy, Pandas, etc.  I have decided to start looking at Bike data from Ford GoBike.  I got interested in this project based on a Berkeley online class on Python.  It used Bike sharing data from the San Francisco area.  I eventually found data on Ford GoBike by doing a similar search.

Here is the Ford GoBike website:



 I am still working on the analysis.  I will not show all code to this project for three reasons.  

The first is that this is a learning project so not all the code and visual styles are mine.  When needed I search the internet for code, best practices and references. So I can not claim that all of this is my work. For me, the first goal is to learn to use Juypter Notebooks better by working on a project. In order to learn, I need to learn from other. That being said,  I have encountered many problems during the way (for example installing Basemap and using Basemap with Jupyter Notebooks). These solutions are then mine to solve and work around. Some of them are simple and some are more complex.

The second reason is that I plan to make this a multi city project.  I would like to compare San Francisco with New York and maybe another city.  So only when I am done will I put up the code.

The last reason is that so far I have only examined 1 month of Ford go Bike data.  There is still all of 2018 to analyze.

Overall, I am enjoying the project and hope to learn more.


Below is the preliminary analysis of the Ford Go Bike data for January 2019. The original file contained 192,082 observations. After some data cleaning, I was left with 134,240 unique observations.



























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