Minimalism is Simple
Big data capabilities not available - Organizations need more analytics capabilities (Business Analytics Research Agenda for 2013)
Les technologies clés 2015 (via Des boussoles et des territoires)
Visualization Kit
The Linked Data Visualization Model ecosystem, which allows to dynamically connectdatasets with visualizations.
High level overview of the Linked Data Visualization Model
The LDVM pipeline is organized in four stages that data needs to pass through:
1. RDF Data: the raw data, which can be all kinds of information adhering to the RDF data model, e.g. instance data, taxonomies, vocabularies, ontologies, etc.
2. Analytical extraction: data extractions obtained from raw data, e.g. calculating aggregated values.
3. Visual abstraction: information that is visualizable on the screen using a visualization technique.
4. View: the result of the process presented to the user, e.g. plot, treemap, map, timeline, etc.
Infographic Principles Explained By Lego
all the digital methods tools used at the Médialab
The 8 hats of data visualisation design
The anatomy of a visualisation designer
France - Budget 2012 : 366 milliards, mais pour financer quoi ?
Cartographie des outils de Dataviz
Types of Information Visualization
Un dashboard Social Media géant de 32 pouces
I want to make a data-visu : un diagramme décisionnel sur le processus de création d’une datavisualisation via datajournalismelab.fr
