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  1. glimpse() is a dplyr function that shows the data in a data frame in a transposed way. It is useful for checking the structure and content of a data frame, especially when applied to a remote data source.

  2. glimpse() is a function that shows you the first few rows and columns of a data frame, with the underlying data. It is useful for exploring and manipulating data in a pipeline, and it is provided by the pillar package and re-exported by dplyr.

  3. 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!

  4. glimpse() is a function that shows a transposed view of a data frame, with columns running down and data across. It can be used to see the structure, format, and values of any object that can be printed with print().

  5. 10 de may. de 2024 · 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.

  6. 17 de nov. de 2023 · glimpse() is a function that shows every column in a data frame in a transposed format. It is provided by the pillar package and can be used within a data pipeline in dplyr.

  7. 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.

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