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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.
10 de mai. 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.
Os scripts em R que fazem uso inteligente dos verbos dplyr e as facilidades do operador pipe tendem a ficar mais legíveis e organizados, sem perder velocidade de execução. As principais funções do dplyr são: select() - seleciona colunas. arrange() - ordena a base. filter() - filtra linhas. mutate() - cria/modifica colunas.
First, You'll need the tibble package installed. Also, you need to have the glimpse call on a separate line. library(tibble) glimpse(mpg)
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.
A função glimpse() traz um resumo da base, contendo o número de linhas, colunas, o nome e tipo das colunas e as primeiras observações de cada coluna.
