Note that this meeting will take place on a Tuesday!
6:00 pm: Kaspar Märtens -- Creating animations using gganimate
6:30 pm: Thomas Joseph -- The curious profile of a retail customer
7:00 pm: Pizza and wine!
The curious profile of a retail customer
This short presentation is about different techniques to mine customer data to unearth more intelligence about them. The data set involved is the sales transaction data of an online retailer. Some of the techniques we'll touch upon during this session are product propensity prediction, product association and customer segmentation. All these will be demonstrated using different packages in R such as `keras`, `Arules`, `dplyr` etc.
The ggplot2 package is well known for its layered grammar of graphics which makes it so flexible.
The gganimate package (https://github.com/thomasp85/gganimate) extends this grammar of graphics to animations. It lets us turn static ggplot2 plots into animations, by providing grammar to specify how the plot should change over time.
In this short talk, Kaspar will introduce gganimate and demonstrate how it can be used to produce cool animations with little extra effort.
Oxford RUG is thrilled to be sponsored by Mango Solutions. Thanks to their generosity, there will be pizza from Franco Manca and wine after the meeting. When RSVPing, please answer the question whether you will be staying for pizza (so we get a sense how much pizza to order).