20 free and open source data visualization tools


Data visualization is helping companies worldwide to identify patterns, predict outcomes, and improve business returns. Visualization is an important aspect of data analysis. Simply put, data visualization conveys outcomes of tabular or spatial data in a visual format.

Discovering patterns of correlation and similarities in software project data with the Circos visualization tool

arXiv.org Artificial Intelligence

Software cost estimation based on multivariate data from completed projects requires the building of efficient models. These models essentially describe relations in the data, either on the basis of correlations between variables or of similarities between the projects. The continuous growth of the amount of data gathered and the need to perform preliminary analysis in order to discover patterns able to drive the building of reasonable models, leads the researchers towards intelligent and time-saving tools which can effectively describe data and their relationships. The goal of this paper is to suggest an innovative visualization tool, widely used in bioinformatics, which represents relations in data in an aesthetic and intelligent way. In order to illustrate the capabilities of the tool, we use a well known dataset from software engineering projects.

8 Analytics & Visualization Firms Who Implement Tableau


Tableau Software helps people see and understand data. Used by more than 19,000 companies and organizations worldwide, Tableau's award-winning software delivers fast analytics and rapid-fire business intelligence. Create visualizations and dashboards in minutes, then share in seconds.The result? You get answers from data quickly, with no programming required. But most of us struggle to make sense of it.Tableau Software lets anyone visualize data and then share it on the web, no programming needed.

A Data Visualization Work in Progress


I'm writing a book on data visualization, provisionally titled Data Visualization for Social Science: A practical introduction with R and ggplot2. As part of that process, largely because I've benefited so much myself from the availability of open and widely shared tools for software development, I'm making the draft version of the book available as its own website. It can be found at http://socviz.co. The pitch for the book, more or less, is that it tries to cover best practices in data visualization, for common social science tasks, grounded in good empirical work on the perception of graphics, in a way that is clear, friendly, and provides the code you need to actually make the graphs.

Data Visualization Solutions from AVS


OpenViz is a collection of data visualization, data analysis and data management techniques that can be integrated into any software solution, enabling any type and quantity of data to be expressed as highly interactive 2D and 3D presentations that can be easily distributed via the Web and added to new or existing applications. OpenViz is the centerpiece of the AVS strategy to empower product managers, software developers and solution designers to conceive and deploy game-changing interactive data visualizations for every industry, integrating the power of advanced analytics, Big Data and other important drivers of OEM and Enterprise solution strategies. AVS/Express provides powerful visualization methods for challenging problems in a vast range of fields, including science, business, engineering, medicine, telecommunications and environmental research. Toolmaster provides X and Windows developers with a cross-platform library of more than 500 C/C and FORTRAN functions for scientific, technical and commercial graphics. If you're a technical professional who requires high-quality presentation graphics for print and the Web, Gsharp is the comprehensive tool you need.