Commercial Visual Analytics Systems–Advances in the Big Data Analytics Field

  title={Commercial Visual Analytics Systems–Advances in the Big Data Analytics Field},
  author={Michael Behrisch and Dirk Streeb and Florian Stoffel and Daniel Seebacher and Brian Matejek and Stefan Hagen Weber and Sebastian Mittelstaedt and Hanspeter Pfister and Daniel A. Keim},
  journal={IEEE Transactions on Visualization and Computer Graphics},
Five years after the first state-of-the-art report on Commercial Visual Analytics Systems we present a reevaluation of the Big Data Analytics field. [] Key Result We explore the achievements in the commercial sector in addressing VA challenges and propose novel developments that should be on systems’ roadmaps in the coming years.

PrAVA: Preprocessing profiling approach for visual analytics

The Preprocessing Profiling Approach for Visual Analytics (PrAVA), a conceptual Visual Analytics process that includes Pre processing Profiling as a new phase, is introduced and its applicability is analyzed through use case scenarios that show resourceful methods for data understanding and evaluation of the preprocessing impacts.

A Characterization of Data Exchange between Visual Analytics Tools

A characterization of the data exchange process among individual VA tools in the form of a taxonomy is provided and can be used as a checklist to identify characteristics and improve the data flow of one’s own multi-tool VA setup.

Visual Data Science

This work will outline how existing data visualization techniques are already successfully employed in different data science workflow stages and highlight the differences among the libraries and applications currently available.

Usage of Visualization Techniques in Data Science Workflows

This paper presents suggestions and considerations towards a better integration of visualization techniques in current data science workflows, and interviews with professional data analysts confirm strong interest in learning and applying new tools and techniques.

Interfaces to Scripting Languages in Visual Analytics Applications

It is found that a tight integration of scripting languages can especially support the explorative analysis and modeling phase of the data science workflow.

Paradigm change towards Visual Analytics for data-driven quality improvement in highly flexible production systems

This paper shows a concept how Visual Analytics can be applied to enable production and quality experts to perform their analysis directly at the value-added process and thus continuously improve process and product quality.

Guidance in the human-machine analytics process

Customizable Coordination of Independent Visual Analytics Tools

This paper proposes using any available channel for exchanging data between two subsequently used VA tools, which effectively allows to mix and match different data exchange strategies within one cross-tool analysis, which considerably reduces the overhead of adding a new VA tool to a given tool ensemble.

Combining 2D and 3D Visualization with Visual Analytics in the Environmental Domain

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Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics

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Knowledge Generation Model for Visual Analytics

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Meeting Big Data challenges with visual analytics

This exploratory research entailed conducting and analysing interviews with a convenience sample of visual analysts and VA tool developers to gain a deeper understanding of data-related issues that constrain or prevent effective visual analysis of large data sets or the use of VA tools.

Interactive visual analytics on Big Data: Tableau vs D3.js

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VisTrails: visualization meets data management

The VisTrails system represents the initial attempt to improve the scientific discovery process and reduce the time to insight, and is presented by presenting actual scenarios in which scientific visualization is used and showing how the system improves usability, enables reproducibility, and greatly reduces the time required to create scientific visualizations.

Characterizing Guidance in Visual Analytics

A general model that facilitates in-depth reasoning about guidance is established by extending van Wijk's model of visualization with the fundamental components of guidance, which is defined as a process that gradually narrows the gap that hinders effective continuation of the data analysis.

How Progressive Visualizations Affect Exploratory Analysis

It is observed that users perform equally well with either instantaneous or progressive visualizations in key metrics, such as insight discovery rates and dataset coverage, while blocking visualizations have detrimental effects.

Voyager 2: Augmenting Visual Analysis with Partial View Specifications

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A framework for uncertainty-aware visual analytics

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