The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

In practice, exploratory data analysis combines graphics and descriptive statistics. In a highly cited book chapter, Tukey uses R to explore the 1990s Vietnamese economy with histograms, kernel ...

In part 1 of our hands-on series, we explain why R's a great choice for basic data analysis and visualization work, and how to get started.

This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the basics of R, including imputing data, performing basic analysis, graphing, ...

The R programming language leans more frequently to the cutting edge of data science, giving businesses the latest data analysis tools. The problem: With loose standards and scores of diverse ...

In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...

Stefanie Molin recently wrote the technical book “Hands-On Data Analysis with Pandas” (published by Packt on July 26, 2019). Her work shows readers how to analyze data and get started with ...

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