Title |
MatLab vs. Python vs. R |
DOI |
10.6339/JDS.201707_15(3).0001 |
Authors |
Ceyhun Ozgur;Taylor Colliau;Grace Rogers;Zachariah Hughes;Elyse "Bennie" Myer-Tyson |
Key Words |
MatLab ; Python ; R |
PublicationName |
Journal of Data Science |
Volume or Term/Year and Month of Publication |
15卷3期(2017 / 07 / 01) |
Page # |
355 - 371 |
Content Language |
英文 |
Chinese Abstract |
Matlab, Python and R have all been used successfully in teaching college students fundamentals of mathematics & statistics. In today’s data driven environment, the study of data through big data analytics is very powerful, especially for the purpose of decision making and using data statistically in this data rich environment. MatLab can be used to teach introductory mathematics such as calculus and statistics. Both Python and R can be used to make decisions involving big data. On the one hand, Python is perfect for teaching introductory statistics in a data rich environment. On the other hand, while R is a little more involved, there are many customizable programs that can make somewhat involved decisions in the context of prepackaged, preprogrammed statistical analysis. |
Topic Category |
基礎與應用科學 >
資訊科學 基礎與應用科學 > 統計 |