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Data scientists employ well-known programming languages to conduct exploratory data analysis and statistical regression. These open source programmes have pre-built features for statistical modelling, graphics, and machine learning. “Python vs. R: What's the Difference” explains these languages in more detail. Some of them are listed below:
R Studio: A programming language and environment that are free and open source for statistical computing and graphics.
Python is a dynamic, flexible programming language. The Python programming language has a number of libraries for quick data analysis, including NumPy, Pandas, and Matplotlib.
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