Best Statistical Analysis Software for R

JMP, data analysis software Mac and Windows, combines powerful statistics with interactive visualization. It is simple to import and process data. Drag-and-drop interface, dynamically linked graphics, libraries of advanced analytics functionality, scripting language, and ways to share findings with others allow users to dig deeper into their data with greater ease. JMP was originally developed in 1980 to capture the new value of GUI for personal computers. JMP continues to add cutting-edge statistical methods to the software's functionality with every release. John Sall, the organization's founder, is still Chief Architect.

One source of truth for R packages and Python packages RStudio is the preferred professional data science solution for every group. A Python and R integrated development environment with syntax-highlighting editor, console, and code execution. It also includes tools for workspace management, history, plotting, and plotting. You can publish and distribute data products throughout your organization. One-button deployment of Shiny applications and R Markdown reports, Jupyter Notebooks, etc. To increase reproducibility and reduce the time spent installing and troubleshooting R packages, you can control, organize, and manage your use of them. RStudio is committed to sustainable investment in open-source and free software for data science. RStudio has been certified as a B Corporation. This means that our open-source mission has been codified in our charter. Our professional software products are enterprise-ready and provide a modular platform that allows teams to adopt open-source data sciences at scale.

EngineRoom is a powerful tool for process improvement. EngineRoom combines graphical tools, statistical tools, and modeling to organize and manage your projects. Analyze data, manage projects and map and model processes. EngineRoom's intuitive drag and drop interface allows you to avoid the steep learning curve associated with desktop data analysis software. EngineRoom has interactive, patented wizards that guide you through the process of analyzing your data and reporting your results. You can get started instantly without having to install anything on your client's desktop, manage complex licensing files or dedicate hard drive storage. Sign in to your account and you can access your projects from any browser. Your data and results will be saved the same way when you return to a project from anywhere.

Visplore makes the analysis of large, dirty time series data intuitive and extremely efficient. For process experts, R&D engineers, quality managers, industry consultants, and everyone who has spent a lot of time on the tedious preparation of complex measurement data. Knowing your data is the fundament of unlocking its value. Visplore offers ready-to-use tools to understand correlations, patterns, trends and much more, faster than ever. Cleansing and annotating make the difference between valuable and useless data. In Visplore, you deal with dirty data like outliers, anomalies and process changes as easily as using a drawing program. Integrations with Python, R, Matlab and many other sources makes workflow integration straightforward. And all of that at a performance that is still fun even with millions of data records, and allows for unexpectedly creative analyses.

Displayr is a powerful software for analysis and reporting of survey data. The only tool that you will ever need to uncover data stories and share them. Displayr is a single app that connects your survey data, analyses, visualizations, reports, and reports to provide seamless automation and better insights. Displayr replaces all your complex analysis and reporting tools. Amazing things happen. You can do everything in a fraction the time. From data cleaning, to analysis, to dashboards and presentations. Displayr does all the grunt work, and it's also faster & easier for you to do advanced analysis. Share interactive reports with auto-updating data and analysis. When you combine all your analysis with reporting, you leave yourself less room for errors. If a mistake is found, you can fix it and auto-update all your reports.