# excel file
data <- read_excel("../00_data/myData.xlsx")
data
## # A tibble: 21,560 × 12
## year gnis_id geometry metad…¹ numbe…² parkn…³ region state unit_…⁴ unit_…⁵
## <dbl> <dbl> <chr> <chr> <dbl> <chr> <chr> <chr> <chr> <chr>
## 1 1904 1163670 POLYGON NA 1 Crater… PW OR CRLA Crater…
## 2 1941 1531834 MULTIPOLY… NA 1 Lake R… PW WA LARO Lake R…
## 3 1961 2055170 MULTIPOLY… NA 1 Lewis … PW WA LEWI Lewis …
## 4 1935 1530459 MULTIPOLY… NA 1 Olympic PW WA OLYM Olympi…
## 5 1982 277263 POLYGON NA 1 Santa … PW CA SAMO Santa …
## 6 1919 578853 MULTIPOLY… NA 1 NA NE ME ACAD Acadia…
## 7 1969 1329499 MULTIPOLY… NA 1 NA IM TX AMIS Amista…
## 8 1967 589056 POLYGON NA 1 NA NE MD ASIS Assate…
## 9 1944 1377082 POLYGON NA 1 NA IM TX BIBE Big Be…
## 10 1989 302659 POLYGON NA 1 NA SE FL BICY Big Cy…
## # … with 21,550 more rows, 2 more variables: unit_type <chr>, visitors <dbl>,
## # and abbreviated variable names ¹metadata, ²number_of_records, ³parkname,
## # ⁴unit_code, ⁵unit_name
data %>%
ggplot(aes(region, color = region)) +
geom_bar()
Has the number of visits to National parks increased or decreased over the years?
ggplot(data = data) +
geom_point(mapping = aes(x = year, y = visitors, color = region)) +
ylim(0,10000000)
## Warning: Removed 492 rows containing missing values (geom_point).
According to this graph, it appears the number of visitors to national parks has greatly increased throughout the years. It appears that the number of visitors slowly started to grow in the early 1900s, but around 1950 the number of visitors skyrocketed. I believe this is because accessing transportation became easier and word of mouth along with newer technology made more and more people want to visit.