From aa0d1ea93840209b0667a0d833ff2a1f0a069b36 Mon Sep 17 00:00:00 2001 From: Sophiazj Date: Wed, 3 May 2017 20:46:29 +0800 Subject: [PATCH] Update intro.Rmd (#569) Delete extra one "the" in a sentence. --- intro.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/intro.Rmd b/intro.Rmd index bb249bc..7bf3462 100644 --- a/intro.Rmd +++ b/intro.Rmd @@ -69,7 +69,7 @@ In this book, you won't learn anything about Python, Julia, or any other program However, we strongly believe that it's best to master one tool at a time. You will get better faster if you dive deep, rather than spreading yourself thinly over many topics. This doesn't mean you should only know one thing, just that you'll generally learn faster if you stick to one thing at a time. You should strive to learn new things throughout your career, but make sure your understanding is solid before you move on to the next interesting thing. -We think R is a great place to start your data science journey because it is an environment designed from the ground up to support data science. R is not just a programming language, but it is also an interactive environment for doing data science. To support interaction, R is a much more flexible language than many of its peers. This flexibility comes with its downsides, but the the big upside is how easy it is to evolve tailored grammars for specific parts of the data science process. These mini languages help you think about problems as a data scientist, while supporting fluent interaction between your brain and the computer. +We think R is a great place to start your data science journey because it is an environment designed from the ground up to support data science. R is not just a programming language, but it is also an interactive environment for doing data science. To support interaction, R is a much more flexible language than many of its peers. This flexibility comes with its downsides, but the big upside is how easy it is to evolve tailored grammars for specific parts of the data science process. These mini languages help you think about problems as a data scientist, while supporting fluent interaction between your brain and the computer. ### Non-rectangular data