Using Tall Arrays with Big Data - NYC Taxi Demos

Simple coding techniques to access and process big data, using NYC taxi datasets as an example

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.