Let us first read the data as follows,

df = read.csv("C:/Users/Lenovo/OneDrive/Desktop/dataset (1).csv", 
              header = TRUE)
head(df)

Now let us calculate the descriptive statistics for the data as follows,

summary(df)
##       UID            STATEID       state.Name          hs_degree     
##  Min.   :    38   Min.   :32.00   Length:10771       Min.   :0.1308  
##  1st Qu.: 59962   1st Qu.:34.00   Class :character   1st Qu.:0.8243  
##  Median :119814   Median :34.00   Mode  :character   Median :0.9080  
##  Mean   :151350   Mean   :33.53                      Mean   :0.8714  
##  3rd Qu.:219980   3rd Qu.:34.00                      3rd Qu.:0.9559  
##  Max.   :265927   Max.   :34.00                      Max.   :1.0000  
##  NA's   :56       NA's   :56                         NA's   :36      
##  hs_degree_male   hs_degree_female
##  Min.   :0.0000   Min.   :0.0000  
##  1st Qu.:0.8183   1st Qu.:0.8239  
##  Median :0.9113   Median :0.9094  
##  Mean   :0.8701   Mean   :0.8729  
##  3rd Qu.:0.9635   3rd Qu.:0.9598  
##  Max.   :1.0000   Max.   :1.0000  
##  NA's   :41       NA's   :50

Here observe that, for UID, mean > median, so UID maybe positively skewed. Again, observe that, for STATEID, hs_degree, hs_degree_male, hs_degree_female, mean < median, so they are maybe negatively skewed.

Now let us plot the histogram of them as follows,

par(mfrow=c(2,2))
hist(df$UID)
hist(df$hs_degree)
hist(df$hs_degree_male)
hist(df$hs_degree_female)

Here from histogram, observe that, hs_degree, hs_degree_male, hs_degree_female are negatively skewed.

The skewness for variables are as follows,

library(moments)
skewness(df[,c(1,2,4,5,6)], na.rm = TRUE)
##              UID          STATEID        hs_degree   hs_degree_male 
##       -0.0805874       -1.2647848       -1.6541721       -1.6645290 
## hs_degree_female 
##       -1.6765083

Here observe that all variables are negatively skewed.

Now, the kurtusis for variables are as follows,

kurtosis(df[,c(1,2,4,5,6)], na.rm = TRUE)
##              UID          STATEID        hs_degree   hs_degree_male 
##         1.751474         2.599681         6.177343         6.267130 
## hs_degree_female 
##         6.468598

Here observe that, hs_degree, hs_degree_male, hs_degree_female are are leptokurtic whereas UID, STATEID are platykurtic.