Note: Please fork the current Udacity repository so that you will have a remote repository in your Github account. Clone the remote repository to your local machine. Later, as a part of the project "Post your Work on Github", you will push your proposed changes to the remote repository in your Github account.
This README file was created on 6/10/25. The project itself was developed in May of 2025.
Exploration of US Bikeshare Data
This Python program loads, filters, displays data (on request) and computes statistics on bikeshare data for Chicago, New York City, and Washington, DC based on user inputs.
- Python 3.7+
- pandas, NumPy, matplotlib (
pip install -r requirements.txt)
git clone https://github.com/ivanzindc/pdsnd_github.git
cd pdsnd_github
pip install -r requirements.txtPlease run the script in the terminal and follow the prompts.
I added a matplotlib visualization of busiest locations for chosen filters. It will be produced in a separate window if your terminal allows GUI.
$ python bikeshare_2.py
Hello! Let's explore some US bikeshare data!
Please enter the city: Washington
Please enter the desired month or 'all' if you would like to include all months:
all
Please enter the desired weekday or 'all': all
----------------------------------------
Would you like to see 5 lines of raw data?y
Unnamed: 0 Start Time ... day_of_week hour
0 1621326 2017-06-21 08:36:34 ... 2 8
1 482740 2017-03-11 10:40:00 ... 5 10
2 1330037 2017-05-30 01:02:59 ... 1 1
3 665458 2017-04-02 07:48:35 ... 6 7
4 1481135 2017-06-10 08:36:28 ... 5 8
[5 rows x 10 columns]
Would you like to see 5 more lines of raw data?y
Unnamed: 0 Start Time ... day_of_week hour
5 1148202 2017-05-14 07:18:18 ... 6 7
6 1594275 2017-06-19 08:41:43 ... 0 8
7 1601832 2017-06-20 05:54:42 ... 1 5
8 574182 2017-03-24 20:37:00 ... 4 20
9 327058 2017-02-20 21:12:00 ... 0 21
[5 rows x 10 columns]
Would you like to see 5 more lines of raw data?n
Calculating The Most Frequent Times of Travel...
The most common month is: June
The most common weekday is: Wednesday
The most common hour is: 8:00
This took 0.17440176010131836 seconds.
----------------------------------------
Calculating The Most Popular Stations and Trip...
The most common start station is: Columbus Circle / Union Station
The most common end station is: Columbus Circle / Union Station
The most common origin-destination pair is: Jefferson Dr & 14th St SW - Jefferson Dr & 14th St SW
This took 0.14265990257263184 seconds.
----------------------------------------
Calculating Trip Duration...
Total travel time is: 103,106 hr and 39 min
Average travel time is: 0 hr and 20 min
This took 0.01581263542175293 seconds.
----------------------------------------
Calculating User Stats...
User Type
Subscriber 220,786
Customer 79,214
Name: count, dtype: object
This took 0.0 seconds.
----------------------------------------
The five busiest locations are:
Columbus Circle / Union Station: 11,704
Jefferson Dr & 14th St SW: 10,240
Lincoln Memorial: 10,079
Massachusetts Ave & Dupont Circle NW: 8,429
15th & P St NW: 7,252
Would you like to restart? Enter yes or no.
no
This is the plot for unfiltered NYC data in the demo run above:
Figure: Combined start+end trip counts for the five busiest stations.
Data for queries resides in 3 files:
- chicago.csv
- new_york_city.csv
- washington.csv
Udacity specifically asked not to upload working datasets (Randomly selected data for the first six months of 2017 for all three cities) to github, but similar datasets live on:
Project template file was provided by Udacity.
- pdsnd_github/
.gitignore# Git ignore rulesbikeshare_2.py# Main scriptrequirements.txt# Python dependenciesREADME.md# Project documentation
Documentation and troubleshooting resources used include: