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  1. str函数和glimpse都可以方便我们查看数据框内的变量细节, 但两者的显示,当数据结构为含列表的tibble时,有较大差别. 以tidyverse库内置数据集starwars为例, 其中变量flims、vehicles、starships元素均为list ,不再是单一的数值或字符,当使用glimpse函数查看数据集时 ...

  2. finalfit_glimpse(dependent, explanatory) Run the code above in your browser using DataLab. <p>Everyone has a funcion like this, str, glimpse, glance etc. This one is specifically designed for use with <code>finalfit</code> language. It is different in dividing variables by numeric vs factor.</p>.

  3. R语言tibble包 glimpse函数使用说明. scape()类似于print()的转置版本:列沿着页面向下运行,数据运行对面。. 这个可以看到数据中的每一列框架。. 它有点像应用于数据帧的str(),但它会尽可能多地显示数据(而且它总是显示底层数据,即使应用于远程数据源 ...

  4. 29 de jun. de 2020 · In this post, we will see three ways to get a peek at the data in a dataframe in R. We will first use tidyverse’s glimpse () function to get a glimpse of a dataframe, then see how to get look at the top or bottom few rows of the data frame and finally see how to get a look at the data with view () function in R.

  5. 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. (And it always shows the underlying data, even when applied to a remote data source.)

  6. 7.2 O pacote dplyr. O dplyr é o pacote mais útil para realizar transformação de dados, aliando simplicidade e eficiência de uma forma elegante. 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:

  7. 12 de nov. de 2022 · I find the glimpse function very useful in R/dplyr. But as someone who is used to R and is working with Python now, I haven't found something as useful for Panda dataframes. In Python, I've tried things like .describe() and .info() and .head() but none of these give me the useful snapshot which R's glimpse() gives us.

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