![]() R is an interpreted language developed by Ross Ihaka and Robert Gentleman, released as open-source software in 1995. Is there one language that’s better than the other? We will review each language with talking points focused on market saturation, ease of use and learning, data collection, visualizations, and machine learning. Today’s discussion is an examination of two major programming languages used in data science: Python and R. Our lives would be drastically different without the collection, analysis, and utilization of data. Models rendered from medical research and studies help to develop new drugs and treatments for various illnesses. Research completed on product sales controls product improvement and discontinuations. The work done by data scientists in these fields greatly affects our society and everyday lives. Data analysis is needed across multiple industries, from large corporations to schools to hospitals and research facilities. ![]() With these large amounts of data will come an increasing need for data scientists and data analysts. Forbes reports that, by 2025, the amount of digital data worldwide will be 163 zettabytes. Pitting one against the other, which will be the best language for Data Science?Īs the world’s internet population grows, as does the amount of data to be collected, organized, and utilized for any purpose. Python vs R: R is an established language.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |