
R (programming language)
Open SourceR is a powerful open-source language and environment for statistical computing, graphics, and data analysis. Widely used by statisticians and data miners for developing statistical software and data analysis.
Discover best Statistics Mac OS X softwares, apps and websites.
R is a powerful open-source language and environment for statistical computing, graphics, and data analysis. Widely used by statisticians and data miners for developing statistical software and data analysis.
RapidMiner is an end-to-end data science platform that streamlines machine learning workflows from data preparation to model deployment, empowering users to unlock insights and build predictive models without extensive coding.
Tableau is a leading data visualization and business intelligence platform that empowers users to explore, analyze, and share insights from their data quickly and effectively. It offers intuitive drag-and-drop interfaces, powerful analytics capabilities, and seamless integration with various data sources.
IBM SPSS Statistics is a leading statistical software platform used for solving research and business problems through analysis.
AWStats is a free, open-source web analytics tool that analyzes server log files to generate detailed reports on website visitor statistics. It provides insights into traffic sources, visitor origins, used browsers, operating systems, and other key metrics, making it a valuable resource for understanding website performance based on raw server data.
SymPy is a comprehensive Python library for symbolic mathematics. It empowers users to perform advanced mathematical computations, ranging from basic algebra and calculus to more complex concepts like differential equations and geometric algebra, all within the familiar Python environment.
PSPP is a free and open-source statistical analysis program, designed as a substitute for IBM SPSS Statistics. It supports a wide range of statistical analyses and data manipulation capabilities.
RStudio is a powerful free and open-source integrated development environment (IDE) tailored for R, the premier language for statistical computing and data analysis. It provides a user-friendly interface that simplifies R coding, debugging, visualization, and reporting workflows, making it an essential tool for data scientists, statisticians, and researchers.
DataCracker is a web-based platform designed for comprehensive survey data analysis. It empowers users to effortlessly transform raw survey responses into actionable insights through intuitive tools for visualization, statistical analysis, and reporting. Ideal for market researchers, academics, and businesses seeking to understand their data better.