How to Analyze Data with R: A Complete Beginner Guide to dplyr

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Learn basic data analysis in 10 minutes or less. Datasets often require many work hours to understand fully. R makes this process as easy as possible through the dplyr package – the easiest solution for code-based data analysis. You’ll learn how to use it today. You’ll use the Gapminder dataset throughout the article. It’s available through CRAN, so make sure to install it. Here’s how to load in all required packages: Here’s how the first couple of rows of the Gapminder dataset look like: And that’s all you need to start analyzing. Today you’ll learn about: Column Selection Data Filtering Data Ordering Creating Derived […]

The post How to Analyze Data with R: A Complete Beginner Guide to dplyr appeared first on Better Data Science.

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