Visualization

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Essential Resources: Multivariate, network and qualitative visualisations This is part of a series of posts to share with readers a useful collection of some of the most important, effective and practical data visualisation resources. This post presents the data visualisation tools that support the analysis and presentation of complex and multivariate data, including qualitative. Please note, I may not have personally used all the packages or tools presented but have seen sufficient evidence of their value from other sources. Whilst some inclusions may be contentious from a quality/best-practice perspective, they may still provide some good features and provide value to a certain audience out there. Finally, to avoid re-inventing the wheel, descriptive text may have been reproduced from the native websites if they provide the most articulate descriptions. Your feedback is most welcome to help curate this collection, keep it up to date and preserve its claim to be an essential list of resources! Essential Resources: Multivariate, network and qualitative visualisations
Les data en forme Les data en forme Cette semaine, les journalistes de données d'Owni vous parlent de couteau suisse, de police utile, d'entrecôte-béarnaise-frites, de législatives et du côté obscur des données. Mais surtout, surtout... Ils vont vous faire chanter ! Après la faille temporelle de la semaine dernière pour cause de nouveau gouvernement à visualiser, ouvrons ce nouveau numéro des data en forme en mode “boîte à outil”. Nos collègues helvètes de datavisualisation.ch ont eu la bonne idée de mettre en ligne le seul, l’unique, le véritable couteau suisse du datajournaliste.
Visualización de información: ¿arte o ciencia?

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FuturICT project wants science to catch up with the speed at which new problems and opportunities are arising in our changing world as consequences of globalization, technological, demographic and environmental change, and make a contribution to strengthening our societies' adaptiveness, resilience, and sustainability. The FuturICT project will do so by developing new scientific approaches and combining these with the best established methods in areas like multi-scale computer modeling, social supercomputing, large-scale data mining and participatory platforms. To learn more about the FuturICT, download overview documents below or see more here.Download: FuturICT Project Summary Download: FuturICT Outline Homepage | FuturICT
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examples