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library(data.table)
library(dplyr)
data1 <- fread('/home/liuwensui/Downloads/2008.csv', header = T, sep = ',')
dim(data1)
# [1] 7009728 29
data2 <- data1 %.%
filter(Year = 2008, Month %in% c(1, 2, 3, 4, 5, 6)) %.%
select(Year, Month, AirTime) %.%
group_by(Year, Month) %.%
summarize(avg_time = mean(AirTime, na.rm = TRUE)) %.%
arrange(desc(avg_time))
print(data2)
# Year Month avg_time
# 1 2008 3 106.1939
# 2 2008 2 105.3185
# 3 2008 6 104.7604
# 4 2008 1 104.6181
# 5 2008 5 104.3720
# 6 2008 4 104.2694
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