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dplyr (version 1.0.10) glimpse: Get a glimpse of your data. Description. glimpse() is like a transposed version of print() : columns run down the page, and data runs across. This makes it possible to see every column in a data frame. It's a little like str() applied to a data frame but it tries to show you as much data as possible.
glimpse() is like a transposed version of print() : columns run down the page, and data runs across. This makes it possible to see every column in a data frame. It's a little like str() applied to a data frame but it tries to show you as much data as possible.
Hace 4 días · The glimpse() function uses the following basic syntax: glimpse(.data) where:.data: The name of the data frame; Note that you can also use the head() function from base R to view the first six rows of a data frame, but the advantage of using the glimpse() function is that you can also see the data type of each variable in the data frame.
Matt Dancho, early in his Data Science Foundations with R Course, teaches students the importance of examining data before diving into wrangling and exploring it further. One of the functions I’ve adopted from the course is the glimpse() function - it’s awesome and I use it all the time!
Source: R/glimpse.R. glimpse() is like a transposed version of print() : columns run down the page, and data runs across. This makes it possible to see every column in a data frame. It's a little like str() applied to a data frame but it tries to show you as much data as possible.
17 de nov. de 2023 · R Documentation. Get a glimpse of your data. Description. glimpse() is like a transposed version of print() : columns run down the page, and data runs across. This makes it possible to see every column in a data frame. It's a little like str() applied to a data frame but it tries to show you as much data as possible.
The glimpse () function of the dplyr package can be used to see the columns of the dataset and display some portion of the data with respect to each attribute that can fit on a single line. We can apply this function to get a glimpse of our mpg dataset: > glimpse(mpg) We get the following output for the preceding code:
