Levels in R Dataframe -

i imported data .csv file, , attached dataset.
problem: 1 variable in integer form , has 295 levels. need use variable create others, don't know how deal levels.

what these, , how deal them?

when read in data read.table (or read.csv? - didn't specify), add argument stringsasfactors = false. character data instead.

if expecting integers column must have data not interpretable integers, convert numeric after you've read it.

txt <- c("x,y,z", "1,2,3", "a,b,c")  d <- read.csv(textconnection(txt)) sapply(d, class)        x        y        z  ##"factor" "factor" "factor"   ## don't want factors, characters d <- read.csv(textconnection(txt), stringsasfactors = false) sapply(d, class)  #          x           y           z  #"character" "character" "character"   ## convert x numeric, , wear nas non numeric data as.numeric(d$x)  #[1]  1 na #warning message: #nas introduced coercion  

finally, if want ignore these input details , extract integer levels factor use e.g. as.numeric(levels(d$x))[d$x], per "warning" in ?factor.