Use R-Pack skimr to collect the beautiful display of President measurement

The first step of data analysis is often through some descriptive statistics , Gain the necessary understanding of the data set being analyzed . For this task , stay R There are two traditional functions that are often used in , One is str(), Used to show the internal structure of the object , Give an overview of the variables in the dataset ; The other is summary(), Give some Forex measurements ：

library(tidyverse)
str(diamonds)
summary(diamonds)
### The result is a little 

This article will introduce R package skimr, It can provide a richer and more beautiful way to display the measurement of variables .

skimr The advantages of the bag ：

Provides a ratio summary() More statistics , It also allows users to add new statistics

Can handle more data types , And report the results according to the data type

have access to knitr Render the table , And support based on pillar Bag spark_bar and spark_line, Output more beautiful results .

skimr The core function of the package is skim(), Its function is to deal with （ In groups ） Data frame , And if possible, cast other types of objects into data frames .skim() It acts on every column of the data frame , According to each column （ Variable ） The type of gives the corresponding statistics ：