There are different types of data sets that can be used in R. These data sets include integer, numeric, logical, character, complex and raw data sets. The integer data, as the name says, represent the integer numbers without any decimal points. These types of data in R is used to store concrete or countable values. […]
Arrange function in R is used to sort data and arrange data in R in a certain manner. Just like the select, filter or summarize function, arrange function is also a function of the tidyverse package. To get started with arrange function and visualize how it sorts data in R, first install and run the
Using Sort and order function in R to sort data Read More »
Tidyverse package can summarize data using the summarize function in R. This function provides the summary statistics of data and creates aggregated results from the data set. It generates the summary statistics based on a certain category of the data and/or the summary of data without any category. To learn how does the summarize function
Using Summarize Function in R Read More »
Select function is used in R to filter Columns, just like filter function is used to filter rows in data. To know how the filter function works, select the working directory and once it has been set up, the tidyverse package needs to be installed, and we need to run tidyverse library to use the
Select function in R to filter columns Read More »
In R, one can filter rows present in data set using various functions and packages. Rows can be filtered in the R using filter function, and Columns can be filtered using select function. In this article, we are going to use tidyverse package to filter rows. Starting with it, set the working directory of the
Using Filter Function in R to filter Rows Read More »
