Tag: nested

treevis.net – A Visual Bibliography of Tree Visualizations

treevis.net – A Visual Bibliography of Tree Visualizations

Last week I cohosted a professional learning course on data visualization at JADS. My fellow host was prof. Jack van Wijk, and together we organized an amazing workshop and poster event. Jack gave two lectures on data visualization theory and resources, and mentioned among others treevis.net, a resource I was unfamiliar with up until then.

treevis.net is a lot like the dataviz project in the sense that it is an extensive overview of different types of data visualizations. treevis is unique, however, in the sense that it is focused on specifically visualizations of hierarchical data: multi-level or nested data structures.

Hans-Jörg Schulz — professor of Computer Science at Aarhus University in Denmark — maintains the treevis repo. At the moment of writing, he has compiled over 300 different types of hierachical data visualizations and displays them on this website.

As an added bonus, the repo is interactive as there are several ways to filter and look for the visualization type that best fits your data and needs.

Most resources come with added links to the original authors and the original papers they were first published in, so this is truly a great resources for those interested in doing a deep dive into data visualization. Do have a look yourself!

A Visual Introduction to Hierarchical Models, by Michael Freeman

Hierarchical models I have covered before on this blog. These models are super relevant in practice. For instance, in HR, employee data is always nested within teams which are in turn nested within organizational units. Also in my current field of insurances, claims are always nested within policies, which can in turn be nested within product categories. Data is hierachical, and we need to take that into account when we model it.

Hierarchical models do just that. Interested in how they do this? Have a look at this amazing browser application made in React.js!

http://mfviz.com/hierarchical-models

This project was built by Michael Freeman, a faculty member at the University of Washington Information School.

All code for this project is on GitHub, including the script to create the data and run regressions (done inR). Feel free to issue a pull request for improvements, and if you like it, share it on Twitter. Layout inspired by Tony Chu.

About this project