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Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
Big Data and Visualization
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Big Data and Visualization

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Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces. …

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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  • 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. His army had already lost 135,000 men two weeks into the campaign – although there were no major battles at this point. Napoleon wanted his troops to feed off the land during their advance but the enemy left nothing but ‘scorched earth’ during its retreat. Since they had no alcohol to sanitize the water, there was a rapid outbreak of dysentery. Before the battle of Smolensk on August 17th, disease, weakness and desertion had already decimated the troops to 175,000 men. Napoleon arrived in Moscow with 100,000 soldiers. He had already lost two-thirds of his main army – not to mention many horses.
    Undoubtedly a graphical milestone: This 1869 visualization drawn by the engineer Charles Joseph Minard shows the data from Napoleon’s disastrous Russian campaign from 1812–1813. Without further explanation, however, it is more of an appeal than an analysis. Click on the image to enlarge.
    Napoleon’s army faced many battles during its retreat. It lacked horses to pull the loads. The soldiers torched their wagons and left their dismantled canons behind. When winter arrived, they had no warm clothing. Since the horses had the wrong shoes, the number of accidents rose on the slick paths. They even burned the pontoons that they carried to build bridges just a few days before they reached the Beresina River. Lice thrived in the appalling hygienic conditions and transmitted typhus fever. Napoleon returned with less than 10,000 men. http://blog.bissantz.com/napoleon
  • Transcript

    1. Data Visualization Michel Bruley Teradata Aster EMEA Marketing Director Michel Bruley April 2013 Teradata Aster EMEA Marketing Director June 2013 Visual Community: http://vacommunity.org/tiki-index.php www.decideo.fr/bruley
    2. www.decideo.fr/bruley
    3. Origin of Information Visualization www.decideo.fr/bruley
    4. Large 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. www.decideo.fr/bruley
    5. Visual Analytics: conceptual view Visualization Model visualization www.decideo.fr/bruley
    6. 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 www.decideo.fr/bruley
    7. 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. www.decideo.fr/bruley
    8. Stacked Graphs www.decideo.fr/bruley
    9. Tree Visualization(1) Node-Link Diagrams www.decideo.fr/bruley Sunburst Dendrogram
    10. Tree Visualization(2) Circle-packing layouts www.decideo.fr/bruley Treemap
    11. Network Visualization Force-Directed Layout Matrix Views Arc Diagrams www.decideo.fr/bruley
    12. Scatter Plot www.decideo.fr/bruley
    13. Parallel Coordinates www.decideo.fr/bruley
    14. Maps www.decideo.fr/bruley
    15. 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) www.decideo.fr/bruley
    16. Aster Discovery Platform www.decideo.fr/bruley
    17. Visual SQL-MapReduce® Functions Complementary to BI tools & other visualizations FLOW VISUALIZER Visualize paths & patterns AFFINITY VISUALIZER Visualize clusters & groups HIERARCHY VISUALIZER Visualize hierarchical relationships www.decideo.fr/bruley Complementary Value BI Tools: Batch Visualizations Outside the Database, General & Generic Aster: Rapid Visualizations, in-Database, for Specialized Analytics
    18. Functions: Flow, Affinity, Hierarchy Visualizers Chord Chord www.decideo.fr/bruley
    19. Team Power www.decideo.fr/bruley

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