Several software programs are available for statistical analysis. Among these, SPSS, Graph pad, R and Python are a few most used ones. Statistical Package for the Social Sciences or SPSS is used by various kinds of researchers for complex statistical data analysis. SPSS also provides solutions for data management and data documentation, which are helpful to researchers. Graph pad is a statistical software program that is designed for researchers in general and not restricted to statistics. It has educational guides and resources that are helpful in avoiding common statistical mistakes, prepare fitting curves etc. R is a popular, open-source statistics software program that can be extended by packages almost at will and has an extensive catalog of statistical and graphical methods. Python, on the other hand, is a functional, open, interpreted programming language that has become an equal alternative for data science projects in recent years. Visualizations are easy to create and appealing in nature.
For more information on these software programs with respect to statistics, you need to check their official websites. According to your requirements, you can select the software program. Post the statistical analysis, you might need to add the data in the form of tables, charts and figures. For details on how to represent the data correctly in tables, charts and figures, check out this course on Enago Learn.
