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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.
When your data has a small number of columns it’s easy to print + view them in the RStudio console; however, when there are many columns it’s difficult to digest the view returned. Let’s look at an example so I can stress the value in using the dplyr::glimpse () function when examining your data.
10 de may. de 2024 · One of the best ways to do this is by using the glimpse () function from the dplyr package in R, which is designed to perform this exact task. The glimpse() function uses the following basic syntax: glimpse (.data) where: .data: The name of the data frame.
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 · 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.
Analisis de datos con R. En este capítulos nos introduciremos al ciclo de trabajo del análisis de datos, así como al lenguaje R. Particularmente, vamos a aprender a: generar nuestras propias funciones. Trabajaremos con un dataset de asociaciones libres a la palabra “Big data”.
