Whats the best statistics software?

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SUMMARY

The best statistics software recommended in the discussion includes R, Mathcad, MATLAB, Mathematica, Maple, Excel, and Open Office. R is highlighted as a free and popular choice for statistical analysis, capable of making plots, fitting curves, and calculating measurement uncertainty. For industrial applications, Minitab is suggested, while SPSS and SAS are noted as well-documented but expensive options. Python with libraries such as SciPy and Matplotlib is also mentioned as a viable alternative for statistical work.

PREREQUISITES
  • Familiarity with statistical concepts and analysis techniques
  • Basic understanding of programming languages, particularly R and Python
  • Knowledge of data visualization principles
  • Experience with statistical software interfaces
NEXT STEPS
  • Explore R for statistical analysis and data visualization
  • Learn about MATLAB for advanced mathematical computations
  • Investigate Python libraries such as SciPy and Matplotlib for statistical applications
  • Research Minitab for industrial statistics and quality improvement
USEFUL FOR

Statisticians, data analysts, researchers, and anyone involved in data analysis and visualization will benefit from this discussion.

regisz90
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I need a software for statistics, so it should make plots, fitting curves on points, calculate the uncertainty of measurement etc.
Which software do you recommend?
 
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regisz90 said:
I need a software for statistics, so it should make plots, fitting curves on points, calculate the uncertainty of measurement etc.
Which software do you recommend?
Try R - http://www.r-project.org/

For a more general purpose application, and depending upon the level of stats you wish to get into, then there are many potentially suitable applications such as Mathcad (the one I use preferentially), Mathlab, Mathematica, Maple or even Excel \ Open Office.

Or, keeping with the single letter choice from the alphabet soup of programming language name, try J - http://www.jsoftware.com/ a very powerful and concise(!) vector programming language.
 
You mean, other than the 2 big dogs in the block? SPSS and SAS. These two are good, fully documented, supported and expensive.

Then there is R.

Then, there are programming languages where you do the work and possibly statistical toolboxes like a combination of python, scipy.stats and matplotlib.
 
Industrial users often run Minitab.
 
I would try R if I were you. It's totally free and is quite popular. Other statistics software can get quite expensive.
 

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