Import Our Data Again

Hm, when I try to run penguins_data <- read_csv("penguins_data.csv", na = "-999")

I keep getting the following error:

Error in exists(cacheKey, where = .rs.WorkingDataEnv, inherits = FALSE) : 
  invalid first argument
Error in assign(cacheKey, frame, .rs.CachedDataEnv) : 
  attempt to use zero-length variable name

I keep running my code: penguins_data <- read_csv("penguins_data.csv", na = c("-999", "NA"), col_types = cols(sex_v2 = "c") with teh skim function but the only column that changes to NA is the sex column.

Error when running: penguins_data <- read_csv("penguins_data.csv",

•                       na = "-999")
  

Error in base::nchar(wide_chars$test, type = "width") :
lazy-load database '/Users/shubhra/Library/R/x86_64/4.1/library/cli/R/sysdata.rdb' is corrupt In addition: Warning messages: 1: In base::nchar(wide_chars$test, type = "width") : restarting interrupted promise evaluation 2: In base::nchar(wide_chars$test, type = "width") : internal error -3 in R_decompress1

Hi there, when I ran the argument for changing sex_v2 to character data, I noticed that col_types showed up as a new data item in my Data Environment, but I noticed on your demo screen, it didn't show up as an additional item after running the code, you only have the penguins_data. Should this not have happened? This was my code: penguins_data <- read_csv("penguins_data.csv", na = c("-999", "NA"), col_types = cols(sex_v2 = "c"))

When I run the read_csv() code again to deal with the -999 values, it does not completely work.

Looking at the data using view(penguins_data), I still have some -999 values in case 4, as well as some -999.0 values in case 4.

I have adapted the code to read read_csv("penguins_data.csv", na = "-999, -999.0") to deal with the ones with the decimal point and the zero, but even after that there are still these issues, including in sex_v2

I can see that in sex there are some NA values now, which means the code has partially worked, I guess.

Apologies, I don't seem to be able to get a screenshot in here.

When I try to run the following command, it doesn't omit the -999 from the table. Why is this the case?

penguins_data <- read_csv("penguins_data.csv", na = "-999")

The -999 in my table did not disappear after I ran penguins_data <- read_csv("penguins_data.csv", na = "-999"). It did disappear in the skim data though.

hi David and Gracielle! Quick Q: when writing the code for read_csv and all the embedded functions, the line becomes too long to read and I've noticed that David uses a shortcut to add the new functions (e.g., na and then col_types) to lines further below. Should I just press enter or is there another way of parsing the line? Thanks!