May 2017
Beginner to intermediate
394 pages
8h 50m
English
book
Learning Social Media Analytics with R
by Dipanjan Sarkar, Karthik Ganapathy, Raghav Bali, Tushar Sharma
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Venue graph – where do people go next?
Our next use case on Foursquare data is geared more towards creative data extraction. We will demonstrate how the combination of some creativity with the basic data can give rise to unusual datasets. The base data of Foursquare is not really suitable for extracting a graph-based dataset. But a close examination of the APIs reveals an end point which will give the next five venues people go to from any given venue. This can be combined with a graph search algorithm such as a depth-first search to create a graph in which venues can be linked to the next possible venues.
To extract this data, we will use our two utility functions:
extract_venue_details: This function will get us the venue details of each venue ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.