Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...
Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify and ...
The right book makes R learning simple and practical with real data examples. Beginners, intermediates, and experts each have focused R book options. R books in 2025 cover coding, statistics, and ...
Should You Mix Python and R in Markdown? Here’s What You Need to Know Markdown documents (like .Rmd or Jupyter Notebooks) are fantastic for weaving code, visuals, and narrative into a single ...
Myxobacteria are an intriguing group of social-behavior-depicting microbes with unique physiological characteristics such as fruiting body formation, gliding motility, and predation, encompassing the ...
From IDE plugins to external chatbots and running LLMs locally, these new and emerging tools are bringing the generative AI revolution to R. My previous article focused on some of the best tools for ...
Programming language selection can be a crucial factor in business operations these days. This selection will determine the analysis and modeling, software development and automation. MatLab vs.
Visualising data can help students and staff in higher education get useful insights into otherwise opaque data sets – affecting decision-making, improving understanding when teaching and effectively ...
Hello! This Web page is aimed at shedding some light on the perennial R-vs.-Python debates in the Data Science community. This is largely (though not exclusively) a debate between the Statistics (R) ...
The Google Books Ngram Viewer allows you to enter a list of phrases and then displays a graph showing how often the phrases have occurred in a large corpus of books (e.g., "British English", "English ...
The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...