IBM SPSS Statistics is an integrated family of products that addresses the entire analytical process, from planning to data collection to analysis, reporting and deployment.
Categories in common with NumXL:In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.
Categories in common with NumXL:Stata puts hundreds of statistical tools at your fingertips. For data management, statistical analysis, and publication-quality graphics, Stata has you covered.
Categories in common with NumXL:EViews offers academic researchers, corporations, government agencies, and students access to statistical, forecasting, and modeling tools through an object-oriented interface.
Categories in common with NumXL:JMP combines powerful statistics with dynamic graphics, in memory and on the desktop. Its interactive and visual paradigm enables JMP to reveal insights that are impossible to gain from raw tables of numbers or static graphs.
Categories in common with NumXL:Origin is an industry-leading graphing and data analysis software for scientists and engineers. Origin is used by 500,000+ registered customers in more than 6,000 companies, 6,500 colleges and universities, and 3,000 government agencies and research labs, worldwide. Our users rely on Origin to import, plot, explore, analyze, and interpret their data. Origin provides tools for repeat operations such as batch plotting and batch analysis, all without the need to learn any programming language.
Categories in common with NumXL:SAS Base is a programming language software that provides web-based programming interface; ready-to-use programs for data manipulation, information storage and retrieval, descriptive statistics and reporting; a centralized metadata repository; and a macro facility that reduces programming time and maintenance headaches.
Categories in common with NumXL:Analyse-it is a statistical analysis software that includes hypothesis testing, model fitting, ANoVA, and PCA, statistical process control (SPC) and quality improvement, analytical and diagNostic method validation for laboratories to meet regulatory compliance.
Categories in common with NumXL:Minitab is a leading statistical software used for quality improvement and statistics education worldwide.
Categories in common with NumXL:GNU Octave is an open-source mathematical modeling and simulation software very similar to using the same language as Matlab and Freemat.
Categories in common with NumXL:Prism8 is the preferred analysis and graphing solution purpose-built for scientific research.
Categories in common with NumXL:KNIME® is an open source data analytics, reporting and integration platform.
Categories in common with NumXL:SAS/STAT includes exact techniques for small data sets, high-performance statistical modeling tools for large data tasks and modern methods for analyzing data with missing values.
Categories in common with NumXL:Scilab is a free open-source software for numerical computation and simulation similar to Matlab/Simulink.
Categories in common with NumXL:The TIMi Suite: a complete and integrated suite of datamining tools that are covering all your analytical needs for your enterprise!
Categories in common with NumXL:Scientific and engineering data analysis solution that automates creation of graphs, image and data processing.
Categories in common with NumXL:SAS Enterprise Miner is a software provide insights that drive better decision making, it streamline the data mining process to develop models quickly, understand key relationships and find the patterns that matter most.
Categories in common with NumXL:nQuery is the world's most trusted sample size calculation software. nQuery boasts an extensive list of features for sample size calculation and power analysis.
Categories in common with NumXL:G*Power is a tool to compute statistical power analyses for many different t tests, F tests, χ2 tests, z tests and some exact tests. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses.
Categories in common with NumXL:Provides a common interface for different vendor data and automates all functionality such as data importing and display, integration, background subtraction, display of extracted mass chromatograms, molecule match, enumeration of molecular formulae, etc.
Categories in common with NumXL: