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QuickCalcs

QuickCalcs is a combination of various calculators and statistical methods.

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QuickCalcs Alternatives

The best QuickCalcs alternatives based on verified products, votes, reviews and other factors.
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  1. JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.

  2. Tableau Desktop is data visualization software that lets you see and understand data in minutes. With other Tableau products, it comprises a complete business intelligence software solution.

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  4. Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

  5. InStat is the replacement for the heavy and complex statistical program that is designed for the engineers and scientist.

  6. SigmaPlot is a scientific data analysis and graphing software package with an intuitive interface for all your statistical analysis and graphing needs that takes you beyond simple spreadsheets and helps you to produce high-quality graphs without …

  7. Analytica is a visual software package developed by Lumina Decision Systems for creating, analyzing...

  8. BI visualization and reporting for desktop, web or mobile

  9. GenStat is a statistical and data analysing tools that is basically the pack of statistic tools and packages.

  10. PSPP is a free software application for analysis of sampled data.

  11. OriginLab is a data analysis tool that provide the engineers and scientist with the technical charts and system for 2D and 3D plotting and all kind of fitting including curve and peak fitting.

  12. Lisrel is a scientific and statistical tool that provide the basic models and methods for structural equation modeling.

  13. JASP, a low fat alternative to SPSS, a delicious alternative to R.

  14. Considered the leading mathematical software, Maple intertwines the world’s most advanced math engine with a user-friendly interface.

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This article was published on | Author: | Publisher: SaaSHub
Categories: Other, Technical Computing, Numerical Computation