Software for data analysis
Of equal importance to the didactics of statistics are the brass tacks of software for working with statistics. Here are several software tools for analyzing data:
Excel-based tools
Google Sheets tools
Data analysis software
- R @R-base, with RStudio and R Markdown, is free open source software for data analysis, statistics, and data visualization. It is powerful and flexible but it does require ongoing learning of code which is constantly evolving. I use R for my own statistical work, and I’ve built this website in Quarto, a platform for building documents, books, presentations, websites, and dashboards in R, Python and more.
Here are several other robust software applications for data analysis available to you. One or more of them may be free for you as a Gonzaga student:
- JMP - JMP is a suite of software used for statistical analysis
- SAS - The SAS System is a comprehensive statistical software package from SAS Institute for data management, graphics, analysis, and presentation
- SPSS - IBM SPSS (Statistical Package for the Social Sciences) provides data and statistical analysis, file management capabilities, graphics and reporting features