A chart offers the reader an interpretation of the data in a way that should be correct, clear and pleasant. Correctness is of course the most important thing, but aesthetic clarity and pleasantness are closely connected in presenting data correctly and effectively. (more…)
In 2018, R turned 25, and has become one of the most used languages for data analysis, probably the most required in the job market of data science, along with SAS and Python. It is an important skill for a dynamic and evolving job market, in a language increasingly adopted in the academic research community.
Not surprisingly, many are those who wish to approach this programming language, of which the difficulty is largely legendary. (more…)