I am going to explore the gapminder database.
Gapminder data base has 1704 records
The datastructure of the gapminder is
dim(gapminder)
## [1] 1704 6
Gapminder data has the following datatype
## # A tibble: 6 × 6
## country continent year lifeExp pop gdpPercap
## <fct> <fct> <int> <dbl> <int> <dbl>
## 1 Afghanistan Asia 1952 28.8 8425333 779.
## 2 Afghanistan Asia 1957 30.3 9240934 821.
## 3 Afghanistan Asia 1962 32.0 10267083 853.
## 4 Afghanistan Asia 1967 34.0 11537966 836.
## 5 Afghanistan Asia 1972 36.1 13079460 740.
## 6 Afghanistan Asia 1977 38.4 14880372 786.
Note that the echo = FALSE parameter was added to the
code chunk to prevent printing of the R code that displayed header