Collection of five interesting data visualisations, 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 basic information, author Twitter accounts, links for used technologies, data downloads and original 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.
Source: http://www.global-migration.info/.
02 – Visualising the Dynamics of Character Networks
Information: Interactive visualisation of character network and their interaction from 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.
Data: –
Source: https://maladesimaginaires.github.io/intnetviz/.
03 – The Spells of Harry Potter
Information: Interactive visualisation of basic statistical data about spell occurrences in book series about Harry Potter.
Author: Skyler Johnson (@skybjohnson).
Technology: Tableau.
Data: Tableau Workbook for download.
Source: https://public.tableau.com/profile/skybjohnson#!/vizhome/TheSpellsofHarryPotter/HarryPotterSpells.
04 – One Year of Global Air Traffic
Information: Animated map of air traffic during one year.
Author: Max Galka (@galka_max).
Technology: Blueshift.
Data: http://www.worldpop.org.uk/data/get_data/.
Source: https://maps.blueshift.io/air-traffic-globe/, Every Plane Flight in the World Over One Year.
05 – Font Map: An AI Experiment by IDEO
Information: Interative visualisation of more than 750 font based on their mutual similarities.
Author: Kevin Ho from IDEO (@ideo).
Technology: Convolutional Neural Network VGG16.
Data: –
Source: http://fontmap.ideo.com/, Organizing the World of Fonts with AI.
In conclusion
I hope you’ve enjoyed this selection. In a few weeks there will be more.
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 I can replace some links from my own resources in case of need.
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