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. The software easily produces publication quality graphics, including mathematics symbols and formulas. Considering S’s continued popularity in statistics research, R provides an open source alternative for those interested in exploring this area. R is able to run, without alteration, code written for S. R draws on the S statistical programming language and is considered a modern implementation of that venerable FORTRAN alternate. The software (in source code format) is available under the GNU public license and is compatible with the UNIX, Mac, and Windows operating systems. R provides a fully-fledged software environment for statistical computing and data manipulation enhanced by graphics and visualization capabilities. Considering the price is right – free – interested professionals will find the time spent downloading and playing with these tools to be worthwhile. 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. Data visualization tools provide this functionality in many forms – from the graphing tool inside Excel to the embedded visualizer in the Graph database, InfiniteGraph. 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.
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