Data visualization tools provide this functionality in many forms – from the graphing tool inside Excel to the embedded visualizer in the Graph database, InfiniteGraph.Infogram is an intuitive visualization tool that empowers people and. Being able to actually see the data helps the human mind understand its underlying meaning. Data analysis remains a vital part of the Data Management industry. There are many tools for data visualization, such as tableau, power Bi, chartblocks and other codeless tools. Charts reduce the complexity of raw data and make it easier for users to understand. Data visualization is a technology that data scientists convert raw data into charts, which can produce a lot of valuable information.Considering the price is right – free – interested professionals will find the time spent downloading and playing with these tools to be worthwhile.A highly capable data visualization and discovery package which is very speedy and has a friendly Mac-like interface, JMP is covered on the main page. Three open source data analysis tools with visualization capabilities are worth noting each provides a unique take on this fascinating sector within the data management profession. MacOS X, Windows 105 CentiBiN A free biocentric software for the calculation and. It has even picked up two productivity-enhancing capabilities that even the Windows version doesn’t offer.Table 6.2 Software for analysis and visualization of networks. In its latest incarnation, MindManager 12 Mac, it has evolved into a powerful flexible tool for visualizing your ideas, data and projects.
Data Visualization Tool License And IsR draws on the S statistical programming language and is considered a modern implementation of that venerable FORTRAN alternate.R is able to run, without alteration, code written for S. The software (in source code format) is available under the GNU public license and is compatible with the UNIX, Mac, and Windows operating systems. Software engine implementing the Wolfram Language.R provides a fully-fledged software environment for statistical computing and data manipulation enhanced by graphics and visualization capabilities. Central infrastructure for Wolframs cloud products & services. Specialty tools Graphical AnalysisSemantic framework for real-world data. The possibilities are nearly limitless.R supports a package framework encapsulating graphics and formula functionality developed by others in the CRAN (Comprehensive R Archive Network) community. It provides the capability to manipulate data objects in R directly with C code. A data editor and data object browser add to the overall convenience.Users needing more computing horsepower can utilize functions written in C, C++, and FORTRAN compiled and linked into R. It also includes a simple programming language that contains conditionals, loops, recursive functions, along with input and output statements. The software easily produces publication quality graphics, including mathematics symbols and formulas.R’s features include integrated data handling and storage, operators useful for array and matrix calculations, a large set of data analysis tools, the previously mentioned display and print graphics functionality. While Weka works more easily with the Java environment, enterprising Windows users can leverage Weka with the. Weka is compatible with Linux, Windows, and Mac OS X. Weka requires at least Java version 1.4 and the more recent versions of the product require either 1.5 or 1.6. Pentaho’s Business Intelligence software leverages Weka for data mining and predictive analysis functionality.Weka’s data mining algorithms are callable directly from Java code, or they can be applied to the actual data objects to be mined. Its active support community is available to answer any questions or provide insight.Gephi – an Interactive Open Graph PlatformGephi fosters detailed analysis of graph networks with its high-end interactive functionality. The University of Waikato also hosts a wiki specific to the data mining framework.Data professionals with an interest in furthering their data mining or analytics knowledge should make the effort to download, install, and explore the world of Weka. It provides a general overview of data mining, while including sections specific to leveraging that knowledge by using Weka. Weka’s explorer features separate panels containing distinct data mining utilities mentioned earlier, in addition to the data visualizer.One of the better ways to learn the Weka platform is a book titled Data Mining – Practical Machine Learning Tools and Techniques, published by Morgan Kauffman. Unable to do multi-table data mining, Weka normally works with single tables or the result of a relational database query.The software’s interface features both a windowed explorer and command line interface each with similar functionality. It uses JDBC to connect to relational database sources it also can read CSV files. Ms office pro for macGephi allows for the importing of data in the CSV and GEXF formats as well as being able to connect to data sources for real time data analysis.Leveraging the open source OpenGL graphics framework, Gephi includes fast graph visualization capabilities, allowing for easier pattern discovery within large data sets. It is useful for the practice of Exploratory Data Analysis and serves nicely as a compliment to traditional statistical analytics. Google also sponsors Gephi, having included it as part of their “Summer of Code” student development initiative.Gephi’s ultimate goal is to facilitate the job of the data analyst by providing an intuitive and colorful way to visualize the patterns lurking within graphed data. Its members include SciencesPo Medialab as well as Neo Technology, the folks behind the Neo4j graph database. The tool is considered to be “Photoshop for Graphs.”Developed in Java using the Netbeans framework, Gephi enhancements are managed by the Gephi Consortium, a group formed as the French equivalent of a non-profit company. The tool offers community detection in conjunction with indicators for closeness, betweenness, clustering coefficient, PageRank, and more. The user is able to change palette and other settings while running a data set, enhancing the overall analytical efficacy of their work.Analyzing social graphs is a core function of Gephi’s statistics and metrics framework. Gephi also features tools for dynamic filtering and real time graph manipulation.Gephi’s state of the art algorithms, including force-based and multi-level, support the efficiency and quality of graph layout. It is a worthy tool for the data analyst.As the concept of visualizing information becomes more renowned as a needed discipline for the data professional, these three free open source tools provide a pathway to learning more about data visualization. Anyone currently working in the graph database space should consider downloading Gephi and having a look. Gephi also supports its own plug-in framework to both extend functionality and share tools within the community.Those interested in learning more about Gephi need to check out the full collection of tutorials in addition to the product’s Wiki page. Export presets can also be saved for future use.
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