Given a csv file from this location
Airports<-"http://www.ourairports.com/data/airports.csv";
download.file(Airports,basename(Airports))
airports <-read.csv("airports.csv",encoding="UTF-8")
> airports[1,]
id ident type name latitude_deg longitude_deg
elevation_ft continent iso_country iso_region municipality scheduled_service
1 6523 00A heliport Total Rf Heliport *40.0708 -74.9336 *
11 <NA> US US-PA Bensalem no
gps_code iata_code local_code home_link wikipedia_link keywords
1 00A 00A
And the precision is lost which we can show by using readLines:
fred<-readLines("airports.csv")
> fred[2]
[1] "6523,\"00A\",\"heliport\",\"Total Rf Heliport\",*
40.07080078125,-74.9336013793945*
,11,\"NA\",\"US\",\"US-PA\",\"Bensalem\",\"no\",\"00A\",,\"00A\",,,"
I tried various approaches, using colClasses, switching to read.tables,
specifying dec="."
I tested read.csv and it does preserve precision on my test case, but not on
this data.
Ideas?
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