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Sigma Magic

Sigma Magic software is an easy to use Excel based analysis software for a wide range of applications in analytics, lean, project management, six sigma, change management and graphical analysis. It is comprehensive analysis as simple as it gets.

Sigma Magic Alternatives

The best Sigma Magic alternatives based on verified products, votes, reviews and other factors.
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  1. RKWard is an easy to use, transparent frontend to the R programming language, a very powerful, yet...

  2. A simple Six Sigma Calculator Firefox and Opera Add-on to calculate the DPM value.

  3. R is a free software environment for statistical computing and graphics.

  4. Minitab helps businesses increase efficiency and improve quality through smart data analysis.

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

  6. SOFA Statistics Open For All - the user-friendly, open-source statistics, analysis, & reporting software package.

  7. IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

  8. RStudio™ is a new integrated development environment (IDE) for R.

  9. Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...

  10. MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.

  11. Simply upload your spreadsheet or dataset, then select the relationships you want to explore. Statwing was built by and for analysts, so you can clean data, explore relationships, and create charts in minutes instead of hours.

  12. Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.

  13. homepage of gretl, the Gnu Regression, Econometrics and Time-series Library

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