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Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces. Facing this domain I have made a personal research, and realize a synthesis, which has helped me to clarify some ideas. The presentation that you could reach via the link below, does not intend to be exhaustive on the subject, but could perhaps bring you some useful insights.
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Data Visualization Data Visualization Michel BruleyTeradata Aster
EMEA Marketing Director
April 2013Michel BruleyTeradata AsterEMEA Marketing Director
June 2013
Visual Community: http://vacommunity.org/tiki-index.php
www.decideo.fr/bruley
www.decideo.fr/bruley
Origin of Information Origin of Information VisualizationVisualization
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Large Scale Visual AnalyticsLarge Scale Visual Analytics
Definition: Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces.
People use visual analytics tools and techniques to
– Synthesize information and derive insight from massive, dynamic, ambiguous, and often conflicting data
– Detect the expected and discover the unexpected
– Provide timely, defensible, and understandable assessments
– Communicate assessment effectively for action.
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Visual Analytics: conceptual view
Visualization
Modelvisualization
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Techniques and Applications
Statistics: A/B testing(split testing/bucket testing ), Spatial analysis, Predictive modelling: Regression
Machine Learning: Unsupervised learning: cluster analysis, Supervised learning: classification, support vector machines(SVM), ensemble learning, Association rule learning
Data Mining and Pattern Recognition: neural network, classification, clustering
Natural language processing(NLP): Sentiment analysis
Dimension Reduction: PCA, MDS, SVD
Data fusion and data integration: Visual Word
Time series analysis: Combination of statistics and signal processing
Simulation: Monte Carlo simulations, MRF
Optimization: Genetic algorithms
Visualization: Scientific Vis, Info visualisation, Visual Analytics
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Use cases
Financial Visual Analytics Cyber security Visual Analytics Visual Analytics for Investigative Analysis on Text
Documents Situation Surveillance and Awareness in Investigative
Analysis Multimedia Visual Analytics Terrorism and Responses Disease visual analytics for Disease outbreak Prediction Etc.
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Stacked Graphs
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Tree Visualization(1)
Node-Link Diagrams
DendrogramSunburst
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Tree Visualization(2)
TreemapCircle-packing layouts
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Network Visualization
Force-Directed Layout
Arc Diagrams
Matrix Views
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Scatter Plot
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Parallel Coordinates
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Maps
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Flow Maps
Napoleon’s Russian offensive was a catastrophe. He started with 422,000 men in June 1812 and returned with less than 10,000 soldiers on October 7, 1813. (For more details see slide notes)
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Aster Discovery Platform
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AFFINITY VISUALIZERVisualize clusters & groups
HIERARCHY VISUALIZER
Visualize hierarchical relationships
FLOW VISUALIZERVisualize paths & patterns
Complementary ValueBI Tools: Batch Visualizations Outside the
Database, General & GenericAster: Rapid Visualizations, in-Database,
for Specialized Analytics
Visual SQL-MapReduce® Functions
Complementary to BI tools & other visualizations
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Functions: Flow, Affinity, Hierarchy Visualizers
ChordChord
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Team PowerTeam Power
