library(readr)
library(kableExtra)
airpollution<-read.csv("global_air_pollution_dataset.csv")
airpollution %>%
head() %>%
kable() %>%
kable_styling(bootstrap_options = c("striped","responsive"))| Country | City | AQI.Value | AQI.Category | CO.AQI.Value | CO.AQI.Category | Ozone.AQI.Value | Ozone.AQI.Category | NO2.AQI.Value | NO2.AQI.Category | PM2.5.AQI.Value | PM2.5.AQI.Category |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Russian Federation | Praskoveya | 51 | Moderate | 1 | Good | 36 | Good | 0 | Good | 51 | Moderate |
| Brazil | Presidente Dutra | 41 | Good | 1 | Good | 5 | Good | 1 | Good | 41 | Good |
| Italy | Priolo Gargallo | 66 | Moderate | 1 | Good | 39 | Good | 2 | Good | 66 | Moderate |
| Poland | Przasnysz | 34 | Good | 1 | Good | 34 | Good | 0 | Good | 20 | Good |
| France | Punaauia | 22 | Good | 0 | Good | 22 | Good | 0 | Good | 6 | Good |
| United States of America | Punta Gorda | 54 | Moderate | 1 | Good | 14 | Good | 11 | Good | 54 | Moderate |