Gobal change

Gazzelloni F. (2023), Data Visualization: Global Change

library(tidyverse)
# Install and load the covid19 package
# install.packages("COVID19")
library(COVID19)


# Get global COVID-19 data
covid_data <- covid19(data_source = "jhu", level = 1)

# View the first few rows of the data
head(covid_data)

covid_data%>%DataExplorer::profile_missing()

covid_data%>%
  slice()%>%
  glimpse()

df <- covid_data%>%
  filter(!is.na(longitude))%>%
  select(date,longitude,latitude,population,confirmed,deaths,recovered,facial_coverings)

df %>% head

world <- map_data("world")%>%
  filter(!region=="Antarctica")

p <- df%>%#count(facial_coverings)
  ggplot(aes(longitude,latitude))+
  geom_polygon(data=world,mapping=aes(x=long,y=lat,group=group),
               fill=NA,color="grey")+
  geom_point(aes(color=facial_coverings))+
  scale_color_viridis_c()+
  labs(color="Facial Covering",
       title="Covid-19 Global Change in Population's Usage of Facial Coverings",
       caption="Covid-19 Global Change in Population's Usage of Facial Coverings\nDataSource: COVID19 package (https://covid19datahub.io ) Guidotti and Ardia (2020)\n#30DayChartChallenge Day25 Global Change | Animation: Federica Gazzelloni") +
  coord_quickmap()+
  ggthemes::theme_map()+
  theme(plot.caption = element_text(hjust = 0.5))

library(gganimate)
p_animated <- p +
  transition_time(date) +
  ease_aes('linear') +
  labs(title = 'Date: {frame_time}')

# Render the animation
# animate(p_animated, fps = 10, duration = 30)

# Save the animation as a GIF
anim_save("day25_GlobalChange.gif", 
          animate(p_animated, fps = 10, duration = 30))