We already saw a couple of things in data, such as the first ten rows. There is more to look at. Let's check the dimensions we've got:
dim(clean_dt)# [1] 951 2
We got 951 mentions to R packages after withdrawing seven observations. Let's check the last 10 observations:
tail(clean_dt, 10)# A tibble: 10 x 2# word n# <chr> <int># 1 wpp2017 1# 2 wrapr 1# 3 WufooR 1# 4 xgboost 1# 5 XR 1# 6 xray 1# 7 XRJulia 1# 8 xtractomatic 1# 9 ZeBook 1#10 zipfextR 1
A summary could also be useful:
summary(clean_dt)# word n # Length:951 Min. : 1.00 # Class :character 1st Qu.: 1.00 # Mode :character Median : 2.00 # Mean : 10.58 # 3rd Qu.: 7.00 # Max. :481.00
Given that the first quarter was one, the median was two, and the third quarter was seven, ...
