Our Febrary session will be on 19th, so join us from 6.00pm in Old College, Usha Kasera Lecture Theatre (https://www.ed.ac.uk/timetabling-examinations/timetabling/room-bookings/bookable-rooms3/room/0001_01_1.264) (map: https://www.openstreetmap.org/relation/33710). As usual, the meeting will be open for all to attend, and newcomers / beginners are very welcome. After the talks we'll be heading off to a pub nearby, so do come along!
Our speakers are Greg Sutcliffe and Juliette Maire. Greg is a community data scientist at Ansible and Red Hat. Juliette is a PhD student at Scotland's Rural College.
## Roots'n'All - Working with Tree Structures in R
### Greg Sutcliffe (https://twitter.com/Gwmngilfen)
Tree structures are common - from the files on your computer to the hierarchy of your organisation, there's a wealth of data contained both within the objects of the tree *and* the links between them. There are many questions one might wish to ask of such a tree, concerning the depth/breadth of the whole tree, or calculations across parts of it.
Working with the trees is made possible in R via the `data.tree` library, and visualization can be done with `ggraph` extensions to ggplot2. In this talk, we'll cover how to create a tree object (say, from a data frame), how to calculate some properties on each part of the tree, and how to visualize the result.
## Manipulating and visualizing weather data
### Juliette Maire (https://www.sruc.ac.uk/jmaire)
Large-scale weather dataset (historical or predictions) is usually a "big" multidimensional dataset that includes space, time components and various variables such as rain, temperature, wind speed. Weather dataset is often saved as NetCDF file. This talk is a quick introduction to how to simply handle such files, extract or manipulate data from it, and visualize the results in R.