Data, Information, Visualisation – Vol I.

Zdeněk Nešpor Visualisation Leave a Comment

Collection of five exciting data visualizations, infographics, and tips for working with data. This time we’re looking at people migration, text analytics, air traffic, and fonts. In each section, you will find necessary information, author Twitter accounts, links for used technologies, data downloads, and sources.

Table of Contents

01 – The Global Flow of People
02 – Visualising the Dynamics of Character Networks
03 – The Spells of Harry Potter
04 – One Year of Global Air Traffic
05 – Font Map: An AI Experiment by IDEO

01 – The Global Flow of People

Information: Research and interactive data visualisation showing migration of people between different regions and countries.
Authors: Nikola Sander (@nikolasander), Guy J. Abel (@guyabelguyabel), Ramon Bauer (@metropop_eu).
Technology: Circos, R, D3.js.
Data: CSV file for download.

Diagram of migration status in East Asia during the years 2005-2010.

02 – Visualising the Dynamics of Character Networks

Information: Interactive visualization of character network and their interaction from the work of selected authors (Molière, Jean Racine).
Authors: Aris Xanthos (@ArisXanthos), Isaac Pante (@IsaacPante), Yannick Rochat (@yrochat), Martin Grandjean (@GrandjeanMartin).
Technology: Orange, Orange Textable, D3.js.

Character graph from text Le Médecin Malgré Lui.

03 – The Spells of Harry Potter

Information: Interactive visualization of statistical data about spell occurrences in book series about Harry Potter.
Author: Skyler Johnson (@skybjohnson).
Technology: Tableau.
Data: Tableau Workbook for download.

Data can be filtered by spell or specific book.

04 – One Year of Global Air Traffic

Information: Animated map of air traffic for one year.
Author: Max Galka (@galka_max).
Technology: Blueshift.
Source:, Every Plane Flight in the World Over One Year.

Map of flighs created with Blueshift.

05 – Font Map: An AI Experiment by IDEO

Information: Interactive visualization of more than 750 font based on their mutual similarities.
Author: Kevin Ho from IDEO (@ideo).
Technology: Convolutional Neural Network VGG16.
Source:, Organizing the World of Fonts with AI.

Font map created with neural network and machine learning.

In conclusion

I hope you’ve enjoyed this selection. Data visualizations are fascinating—so many technologies, tools, and methods. Let this content to inspire you and good luck with your work.

In most cases, I link to the original data sources. But let me know if you find any broken links. I have created an archive so that I can replace some links from my resources in case of need.


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