Default scatterplot in R. You really can’t get much easier than that. Of course that’s a pretty no-frills graphic. If you’d like to label your x and y axes, use the parameters xlab and ylab.

How best to manage data using R programming. While the analytics world is being transformed by the EU’s General Data Protection Regulation, marketers are discovering a potential new solution to ...

Unfortunately, my initial hands-on testing with corrupted datasets reveals a fundamental enterprise problem: impressive capabilities paired with insufficient transparency about data transformations.

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Beyond the baseline assignment, some students created dashboards that include information on graduate enrollment, degrees and areas of study. Others created Tableau Stories, which combine dashboards ...

Great R packages for data import, wrangling & visualization: general R, R programming: online reference: RStudio Cheat Sheets: graphics-ggplot2, ... Data Analysis and Visualization Using R.

Python remains the leading AI programming language in 2025 due to its simplicity, extensive libraries, and strong community ...

Researchers at China Pharmaceutical University have developed GseaVis, a user-friendly R package that significantly enhances ...

When Stephen Goldsmith was deputy mayor of New York City in 2010 and 2011, the city was working on processes to make data available to the public.

The demand for data-driven professionals in healthcare and clinical research continues to grow, making statistical programming a highly rewarding and future-proof role.