pin_write() automatically converts characters to factors

[erwinlares]

Hello fellow homo sapiens,

pin_write() seems to be converting character variables to factors despite what I read here in issue #175

I read in the Palmer Penguins data set from a csv file. Here's what the tibble looks like.

> penguins |> str()
spec_tbl_df [344 × 8] (S3: spec_tbl_df/tbl_df/tbl/data.frame)
 $ species          : chr [1:344] "Adelie" "Adelie" "Adelie" "Adelie" ...
 $ island           : chr [1:344] "Torgersen" "Torgersen" "Torgersen" "Torgersen" ...
 $ bill_length_mm   : num [1:344] 39.1 39.5 40.3 NA 36.7 39.3 38.9 39.2 34.1 42 ...
 $ bill_depth_mm    : num [1:344] 18.7 17.4 18 NA 19.3 20.6 17.8 19.6 18.1 20.2 ...
 $ flipper_length_mm: num [1:344] 181 186 195 NA 193 190 181 195 193 190 ...
 $ body_mass_g      : num [1:344] 3750 3800 3250 NA 3450 ...
 $ sex              : chr [1:344] "male" "female" "female" NA ...
 $ year             : num [1:344] 2007 2007 2007 2007 2007 ...

I pin it to my board

board <- board_rsconnect()
board |> pin_write(penguins, "palmerpenguins",
                    type = "csv")

When I read it back, I get this with all character variables now as factors.

> pin_read(board, "lares/palmerpenguins") |> str()
'data.frame':   344 obs. of  8 variables:
 $ species          : Factor w/ 3 levels "Adelie","Chinstrap",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ island           : Factor w/ 3 levels "Biscoe","Dream",..: 3 3 3 3 3 3 3 3 3 3 ...
 $ bill_length_mm   : num  39.1 39.5 40.3 NA 36.7 39.3 38.9 39.2 34.1 42 ...
 $ bill_depth_mm    : num  18.7 17.4 18 NA 19.3 20.6 17.8 19.6 18.1 20.2 ...
 $ flipper_length_mm: int  181 186 195 NA 193 190 181 195 193 190 ...
 $ body_mass_g      : int  3750 3800 3250 NA 3450 3650 3625 4675 3475 4250 ...
 $ sex              : Factor w/ 2 levels "female","male": 2 1 1 NA 1 2 1 2 NA NA ...
 $ year             : int  2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 ...
> 

I took a look at the documentation, but couldn't find anything that could account for this behavior. Do you know what I am missing?

Keep up the good work!

[juliasilge]

Related to #626

[juliasilge]

In #664 we removed how stringsAsFactors was being set and the functions now use R's default. If you have any input on how pins stores dataframes by default, take a look at #666!

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