I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Many statistical practitioners prefer JMP, SPSS, and Minitab to R and SAS because using the latter grouping requires learning a computer software language instead of point and click interface. The ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Simply put by one of its staunchest advocates, "R is the most powerful statistical computing language on the planet; there is no statistical equation that cannot be calculated in R." Beyond "just" a ...

Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. David Kindness is a Certified Public Accountant (CPA) and an expert in ...

What are the differences between gathering and analyzing quantitative and qualitative information? Better yet, how can you develop these skills and use this knowledge in a real-world job? Quantitative ...

The goal of this short course is to first explain the services provided by the Laboratory for Interdisciplinary Statistical Analysis (LISA) and second to offer t-test and ANOVA (Analysis of Variance) ...

But data science is a specific field, so while Python is emerging as the most popular language in the world, R still has its place and has advantages for those doing data analysis. Hoping to settle ...