The R language for statistical computing has creeped back into the top 10 in Tiobe’s monthly index of programming language popularity. “Programming language R is known for fitting statisticians and ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...

Successfully built a crop yield prediction system using advanced machine learning in R, which leverages agro-environmental, soil, and weather data to forecast agricultural yield (in tons per hectare).

In an era where data drives every decision, the ability to move beyond static reports has become essential for organizations seeking agility and insight. Traditional outputs like PDFs and RTFs, while ...

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, ...

Representative visualization features of the GseaVis R package showing enhanced GSEA plots, multi-pathway comparisons, heatmap annotations, and circular layout options for comprehensive gene set ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

In the R programming language, the de facto standard framework for drawing rectangular coordinates is ggplot2. The most important feature of ggplot2 is that it is object-oriented and uses the plus ...

Data can often feel overwhelming—rows upon rows of numbers, scattered information, and endless spreadsheets that seem to blur together. If you’ve ever stared at a dataset wondering how to make sense ...