Add colClasses attribute to read the statement as below.
> superstore = read.csv("C:\\Users\\Sindhu\\Downloads\\global_superstore.csv",stringsAsFactors = FALSE,colClasses = c("Numeric","character"))
You can parse the strings to symbols. ...READ MORE
it is easily achievable by using "stringr" ...READ MORE
We can easily use this command
as.data.frame(lapply(d1, "length< ...READ MORE
Easily you can do it:
drops <- c("V2","V4")
df1[ ...READ MORE
Basically here we are making an equation ...READ MORE
By assuming that all the values are ...READ MORE
For avoiding rowwise(), I prefer to use ...READ MORE
Basically all we have to do is ...READ MORE
Use edit function like below and pass ...READ MORE
You can use dplyr function arrange() like ...READ MORE
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