Using Tall Arrays with Big Data - NYC Taxi Demos

versión 1.1.0.0 (16.5 MB) por Gabriel Ha
Simple coding techniques to access and process big data, using NYC taxi datasets as an example

1,5K descargas

Actualizada 1 Nov 2016

Ver licencia

Requires MATLAB 2016b or later.
Use this code to provide a framework for your own big data analysis.
Contains all MATLAB files needed to replicate the demos featured in the fast-paced "Using Tall Arrays with Big Data" video [ http://www.mathworks.com/videos/matlab-tall-arrays-in-action-122883.html ], which is highly recommended for you to watch and obtain context:
1. Pickups demo [.mlx - MATLAB live script] - requires Mapping Toolbox and Distributed Computing Toolbox
2. Averages demo [.mlx - MATLAB live script] - requires Statistics Toolbox and Distributed Computing Toolbox
3. wms.mat [needed for Pickups demo]
4. load_settings.m [needed for Pickups demo]
This zip file does NOT contain datasets. Datasets can be downloaded at http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml. Only one dataset is needed to run the scripts.
This zip file DOES contain the following additional files, which are generated from running the Pickups demo on ALL 2015 Yellow cab datasets:
5. .gif of all 2015 pickups by hour ("raw" version)
6. .gif of all 2015 pickups by hour ("cleaned" version)
7. .fig of all 2015 pickups summarized in a 2D histogram. This can be opened (and manipulated) in MATLAB.

Citar como

Gabriel Ha (2022). Using Tall Arrays with Big Data - NYC Taxi Demos (https://www.mathworks.com/matlabcentral/fileexchange/59353-using-tall-arrays-with-big-data-nyc-taxi-demos), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2016b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!