https://github.com/kynan/datashader-binder

Visualizing NYC Taxi dataset using datashader
https://github.com/kynan/datashader-binder

Last synced: 4 months ago
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Visualizing NYC Taxi dataset using datashader

• Host: GitHub
• URL: https://github.com/kynan/datashader-binder
• Owner: kynan
• Created: 2016-11-18T21:52:56.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2016-11-18T22:23:13.000Z (about 9 years ago)
• Last Synced: 2025-01-12T12:32:38.368Z (about 1 year ago)
• Language: Jupyter Notebook
• Homepage: http://mybinder.org/repo/kynan/datashader-binder
• Size: 9.77 KB
• Stars: 1
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Visualizing the NYC Taxi dataset using datashader

[![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/kynan/datashader-binder)

This is a [binder](http://mybinder.org)-enabled version of the

[datashader](https://github.com/bokeh/datashader) [NYC

Taxi](https://beta.anaconda.org/jbednar/nyc_taxi/notebook) example.

## Plotting very large datasets meaningfully, using `datashader`

There are a variety of approaches for plotting large datasets, but most of

them are very unsatisfactory. Here we first show some of the issues, then

demonstrate how the `datashader` library helps make large datasets truly

practical.  

We'll use part of the well-studied [NYC Taxi trip

database](http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml), with

the locations of all NYC taxi pickups and dropoffs from the month of January

2015. Although we know what the data is, let's approach it as if we are doing

data mining, and see what it takes to understand the dataset from scratch.