Mastering pandas - Second Edition

Implementation in R

Here, we install the package in R and instantiate the library:

    >install.packages('nycflights13')
    ...
    
    >library('nycflights13')
    >dim(flights)
    [1] 336776     16
    
    >head(flights,3)
    year month day dep_timedep_delayarr_timearr_delay carrier tailnum flight
    1 2013     1   1      517         2      830        11      UA  N14228   1545
    2 2013     1   1      533         4      850        20      UA  N24211   1714
    3 2013     1   1      542         2      923        33      AA  N619AA   1141
    origindestair_time distance hour minute
    1    EWR  IAH      227     1400    5     17
    2    LGA  IAH      227     1416    5     33
    3    JFK  MIA      160     1089    5     42
    
    > flights.data=na.omit(flights[,c('year','month','dep_delay','arr_delay','distance')])
    >flights.sample<- flights.data[sample(1:nrow(flights.data),100,replace=FALSE),]
    
    >head(flights.sample,5)
    year month dep_delayarr_delay distance
    155501 2013     3         2         5      184