Category trend analysis
Foursquare is essentially a collection of real-life locations databases and their interaction with the actual users of those locations. How the users interact with these venues is the kind of data which encapsulates a lot of interesting information, both about the venues and the users. For our opening analysis into the Foursquare data, we will try to answer some questions about the choices of users in different cities across the world. We will learn how to extract data relevant to our analysis, how to ask the relevant questions and answer them using visualizations, and lastly, how to fit a usable analytics use case around the data. So let's dive in!
Getting the data – the usual hurdle
We want to get check-in data for some important cities across the globe and then use that data to find out what are the category trends are in those cities. Then we will proceed further with that data and try to build a recommender system which will tell us which restaurant category to...
