Working with Tree Structures and Manipulating and visualizing weather data

Details

Hi everyone,

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.

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## 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.

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## 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.