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Date created

The date I have created this project and README file was 04.08.2019.

Description

My project is about analyzing the data from a local bikesharing company in New York, Washington and Chicago.

Bugs and technical issues

LEGB (Local, Enclosing, Global, Built-in) The most buggs were connected to the LEGB topic. As soon as this was fixed the code was running without any issues.

Files used

dk.py
chicago.csv
new_york.csv
washington.csv

Credits

First of all I want to give credit to my Udacity Mentor Antonio Fortin, who was really patient with me and encouraged me to proceed even when I was overwhelmed with all the new stuff. Moreover, I have learned a lot of the material from the udacity plattform which stands out due to the great quizes after each lesson.

Here are some more sources that I ve used for specific technical issues. https://pandas.pydata.org/pandas-docs/stable/ https://stackoverflow.com/questions/28189442/datetime-current-year-and-month-python https://stackoverflow.com/questions/15138973/how-to-get-the-number-of-the-most-frequent-value-in-a-column

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GitHub project (Project 3) repository for PDSND

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  • Jupyter Notebook 77.2%
  • Python 22.8%