- ARCHIVE / TAG ARCHIVE
- More Jupyter notebooks: pyvis and networkx
Lately I’ve been spending more time creating Jupyter notebooks that demonstrate how to use the Dimensions API for research analytics. In this post I’ll talk a little bit about two cool Python technologies I’ve discovered for working with graph data: pyvis and networkx. pyvis and networkx The networkx and pyvis libraries are used for generating and visualizing network […]
- Exploring SciGraph data using JSON-LD, Elastic Search and Kibana
Hello there data lovers! In this post you can find some information on how to download and make some sense of the scholarly dataset recently made available by the Springer Nature SciGraph project, by using the freely available Elasticsearch suite of software. A few weeks ago the SciGraph dataset was released (full disclosure: I’m part […]
- Nature.com Subjects Stream Graph
The nature.com subjects stream graph displays the distribution of content across the subject areas covered by the nature.com portal. This is an experimental interactive visualisation based on a freely available dataset from the nature.com linked data platform, which I’ve been working on in the last few months. The main visualization provides an overview of selected […]
- A sneak peek at Nature.com articles’ archive
We’re getting closer to releasing the full set of metadata covering over one million articles published by Nature Publishing Group since 1845. So here’s a sneak peek at this dataset, in the form of a simple d3.js visual summary of what soon will be available to download and reuse. In the last months I’ve been […]
- How to visualize a big taxonomy within a single webpage?
Here’s a couple more experiments aimed at representing visually a large taxonomy. Some time ago I looked at ways to visualise a medium-large taxonomy (3000 terms circa) using one of the many visualisation kits out there. It turned out that pretty much all of them can’t handle that many terms, but there are other strategies […]
- Messing around wih D3.js and hierarchical data
These days there are a lot of browser-oriented visualization toolkits, such d3.js or jit.js. They’re great and easy to use, but how much do they scale when used with medium-large or very large datasets? The subject ontology is a quite large (~2500 entities) taxonomical classification developed at Nature Publishing Group in order to classify scientific […]
- Infographics Course, Week 2
Here’re the materials related to the second week of the Introduction to Infographics and Data Visualization online course. This week we talked about two topics: a) Visual Perception and Graphic Design Principles and b) Planning for Infographics and Visualizations. The exercise was focusing on an interactive visualisation available on the New York Times website. Key […]
- Infographics Course, Week 1
This is a short summary of the activities in week 1 of the Introduction to Infographics and Data Visualization massive online course offered by the Knight Center for Journalism at Texas University. I’ll be posting the course materials and exercises here on the blog, so stay tuned if you want more. The course is hosted […]
- Navigating through the people of medieval Scotland… one step at a time
Navigating through the people of medieval Scotland… one step at a time! This is, in a nutshell, what users can do via the Dynamic Connections Cloud application, a prototype tool I’ve been working on recently, in the context of the People of Medieval Scotland project (PoMS), which was launched last week at the University of […]
- Wittgenstein Tractatus and the JavaScript InfoVis Toolkit
What do the JavaScript InfoVis Toolkit and the Austrian philosopher Ludwig Wittgenstein have in common? Definitely not much, at first sight. But the moment you realise that Wittgenstein was so fascinated with logic that he wanted to organise his masterwork in the form of a tree structure, well, you may change your mind. The javaScript […]