Read data in Chapter 4 about mastering-shiny HOT 5 OPEN

@carehu My "non-fancy" solution was download manually the files, put them in a folder and then read the data from this new folder in order to follow the example in the book.

Thank you! For products & population data I did like you explained and is working. But for the injuries data it still doesn't work. I have used the R.utils package to unzip the file and if I open the unzipped file in notepad it doesn't look like what is in the book. For now I think I will just skip the examples in this chapter. Thanks.

library(R.utils)
gunzip("neiss/injuries.tsv.gz", remove=FALSE)

from mastering-shiny.

For some reason, when I download the data using the function and then read it, the data looks so weird.

I have to download manually

from mastering-shiny.

For some reason, when I download the data using the function and then read it, the data looks so weird.

I have to download manually

I have the same issue

from mastering-shiny.

I have

For some reason, when I download the data using the function and then read it, the data looks so weird.
I have to download manually

I have the same issue

I have the same issue. Did you find a solution? when I run the code the data doesn't look like what is the book

This is what I get (my folder path is different but I think that shouldn't be an issue)

This is what is in the book
injuries <- vroom::vroom("neiss/injuries.tsv.gz")
injuries
#> # A tibble: 255,064 × 10
#> trmt_date age sex race body_part diag locat…¹ prod_…² weight narra…³
#>
#> 1 2017-01-01 71 male white Upper Trunk Contus… Other … 1807 77.7 71YOM …
#> 2 2017-01-01 16 male white Lower Arm Burns,… Home 676 77.7 16YOM …
#> 3 2017-01-01 58 male white Upper Trunk Contus… Home 649 77.7 58 YOM…
#> 4 2017-01-01 21 male white Lower Trunk Strain… Home 4076 77.7 21 YOM…
#> 5 2017-01-01 54 male white Head Inter … Other … 1807 77.7 54 YOM…
#> 6 2017-01-01 21 male white Hand Fractu… Home 1884 77.7 21 YOM…
#> # … with 255,058 more rows, and abbreviated variable names ¹​location,
#> # ²​prod_code, ³​narrative

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@carehu My "non-fancy" solution was download manually the files, put them in a folder and then read the data from this new folder in order to follow the example in the book.

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