Introduction Web scraping is used to extract data from websites. This is incredible easy with R. In this tutorial you will learn how to extract a table from a complex site. In the Wikipedia article (Wind power by country)[https://en.wikipedia.org/wiki/Wind_power_by_country] you find a table with installed wind power capacity, embedded in a complex site with text, …
In this tutorial we will learn what wide and tidy data is, why it is used and how you can transform it from one format in the other. Transforming data from one format in the other is a very common task in data analysis.
We will learn to detect outliers for univariate distributions. We will analyse “iris” dataset for this purpose. Learning Objective: Outlier Detection Requirements: ggplot2, plyr, dplyr
dplyr is one of the most popular and most useful packages in the R-universe. It covers all aspects of data manipulation: filtering, selection, sorting and many more.
In this tutorial we will learn how to use dplyr within functions. For this we will use movie data.
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