Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.

His argument against Python is that a person using it for data science needs to learn about extra Python packages, like NumPy, which brings Matlab-like data-analysis powers to Python. R, which is ...

Aside: Quantmod has its own data visualization if you’re just exploring: ... There’s another new package rbokeh, implementing an R version of the Python bokeh interactive Web plotting library.

Data analysis, visualization, and storytelling are essential skills that shape modern business decisions.Strong communication ...

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 ...

R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...