To get a summary of the data, we may execute summary(data) and see the relevant summaries for each type of variable. The summary is tailored for each column's data type. As you can see, numerical variables such as ID and NVotes get a quantile summary, while factor (categorical) variables get a count for each different category, such as AreaType and RegionName. If there are many categories, the summary will show the categories that appear the most and group the rest into a (Other) group, as we can see at the bottom of RegionName.
summary(data)
#> ID RegionName NVotes Leave
#> Min. : 1 Length: 1070 Min. : 1039 Min. : 287
#> 1st Qu.: 268 Class : character 1st Qu.: 4252 1st Qu.: 1698
#> Median : 536 Mode : character Median : 5746 Median : 2874
#> Mean : 536...
