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library(tidyverse) | |
library(rvest) | |
library(ggpubr) | |
library(COVID19) | |
## 1st step: | |
# go to http://www.sharkattackdata.com/place/united_states_of_america | |
## 2nd step: | |
# save HTML file to same location as script | |
## 3rd step: | |
# run script below | |
## Load Data | |
sharks_dat <- read_html("Shark Attack Data_ United States of America.html") %>% | |
html_table() %>% | |
.[[1]] | |
sharks_dat <- sharks_dat %>% | |
.[,1:2] %>% | |
count(Area, sort = T) | |
## get covid19 data on state level | |
covdat <- covid19("US", level = 2) | |
covdat %>% | |
arrange(desc(date)) %>% | |
group_by(administrative_area_level_2) %>% | |
slice(2) %>% | |
left_join(sharks_dat %>% rename(administrative_area_level_2 = Area)) %>% | |
ggplot(aes(n, confirmed)) + | |
geom_point() + | |
geom_smooth(method = "lm", se = F, color = "red") + | |
theme_minimal() + | |
labs(y = "Confirmed COVID-19 Cases (per State)\n", x = "\nNumber of Unprovoked and Provoked Shark Attacks since 1900 (per State)") + | |
ggpubr::stat_cor() |
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