In this project, we aim to analyze and create visualizations based on 2 of the US's most popular bikeshare service providers: CitiBike in NYC and BlueBikes in Boston. Based on the data we will compare several stories that underly within the data.
Firstly, in a terminal window clone the git repository:
$ git clone https://github.com/swopnilnep/DataVisualization
$ cd /data/bikeshare/
If the directory does not exist, make a directory in the location
$ mkdir data`
$ cd data`
$ mkdir nyc unified boston
Get the NYC data from here:
- Stations - Save to
/data/bikeshare/data/nyc/stations.json - Data - Save to
/data/bikeshare/data/nyc/nyc.csv
Get the Boston data from here:
- Stations - Included in trip history download
- Data - Save to
/data/bikeshare/data/boston/boston.csv
In your repository, navigate to ./scripts and run all three scripts in this particular order.
$ python3 nyc_normalize.py
$ python3 boston_normalize.py
$ python3 merge_datasets.py
Make sure you have pandas and numpy installed through either pip or Anaconda
- BuzzFeed Bikeshare Data Visualization
- Citibike - NYC Bikeshare Data
- Hubway - Boston