Bike-Share System Data Exploration.

Udacity Data Analysis Nanodegree Project.

The project filtered data from the Divvy bike-share system in the US and provide the user some exploration data with his/her filter.

The project was introduced as the first project in Professional Track of Udacity Data Analysis Degree cooporating with Egypt FWD.

The Project Walkthrough:

• Ask a user for an US State to load its dataset.
• The user chooses to filter the data with Day, Month, Both, or None.
• Make filtering and handling missing values.
• Provides the user with some exploration analysis of the dataset:
  • Most Common Month.
  • Most Common Day.
  • Most Common Hour.
  • Most Common Start Station.
  • Most Common End Station.
  • Most Common Combination of Start and End Stations.
  • Total Trips Duration.
  • Average Trips Duration.
  • Users Type.
  • Users Gender (IF Available).
  • Users Earliest Birth Year (IF Available).
  • Users Most Recent Birth Year (IF Available).
  • Users Most Common Birth Year (IF Available).
• Show a sample of data as much as the user needs.

The Project Started on the 14th of July and was Submitted and Approved on the 16th of July 2021.

Give it try:

• Clone the repo.
• Open your Terminal and go to the repo directroy.
• python .
• Have Fun!

Feel free to copy, snip, clone, and/or fork the project

Thanks,

BM