library(dplyr)
library(lubridate)
load("./data-raw/weather-data/weather-June-2019-tb.rda")
weather_June_2019.tb |>
filter(month(time) == 6L & day(with_tz(time, tzone = "EET")) == 18) |>
select(1:18) |>
as.data.frame() -> weather_18_june_2019.df
summary(weather_18_june_2019.df)
save(weather_18_june_2019.df, file = "./data/weather-18-june-2019-df.rda", compress = "xz", compression_level = 3)
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