/A-Python-Project-to-Understand-electric-car-usage-in-Paris

Moringa_Data_Science_Prep_W4_Independent_Project_2019_07_Josephine_Wanjiku_Python_Notebook.ipynb

Primary LanguageJupyter NotebookMIT LicenseMIT

Moringa_Data_Science_Prep_W4_Independent_Project_2019_07_Josephine_Wanjiku_Python_Notebook.ipynb

Moringa_Data_Science_Prep_W4_Independent_Project_2019_07_Josephine_Wanjiku_Python_Notebook.ipynb

{Data Science IP Week 4}

{Python Programmming Data Science Project}, {July, 2019}

By {Josephine}

Description

{In this project, I will be acting as a data scientist working for an electric car-sharing service company.

I will be processing the stations' data to understand electric car usage over time by solving the following research question.

Research Question:

Identify the most popular hour of the day for picking up a shared electric car (Bluecar) in the city of Paris over the month of April 2018}

Setup/Installation Requirements

  • Google Colab/Jupyter Notebook.

  • Pandas and Numpy Python libraries for data exploration and manipulation

  • Data cleaning tools

  • Exploratory data analysis techniques.

Known Bugs

{There are no known bugs.

Improvements are encouraged.}

Technologies Used

{Python Programming,

Libraries: Numpy & Pandas.}

Support and contact details

{ To make a contribution to the code or any part of the project, kindly contact me through; josephinewanjiku748@gmail.com.}

License

{MIT}

Copyright (c) {2019} {Moringa School Data Science Class}