I do not have a specific answer to your particular problem. All I can say is 
when a CSV import doesn’t work, it can mean there is something in the CSV file 
that is unexpected. When read_csv() fails, I will try read.csv() to compare the 
results.

Kevin


> On Nov 1, 2021, at 12:40 PM, Rich Shepard <rshep...@appl-ecosys.com> wrote:
> 
> The data file, cor-disc.csv begins with:
> site_nbr,year,mon,day,hr,min,tz,disc
> 14171600,2009,10,23,00,00,PDT,8750
> 
> The first 7 columns are character strings; the 8th column is an integer.
> 
> After loading library(tidyverse) I ran read_csv() with this result:
>> cor_disc <- read_csv("../data/cor-disc.csv")
>                                                                               
>                      Rows: 415263 Columns: 8
> ── Column specification 
> ────────────────────────────────────────────────────────────────────────────
> Delimiter: ","
> chr (5): mon, day, hr, min, tz
> dbl (2): site_nbr, year
> 
> ℹ Use `spec()` to retrieve the full column specification for this data.
> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this 
> message.
> 
> 1. What happed to the values in column 'disc?'
> 
> 2. Why are site_nbr and year seen as doubles when they're character strings?
> 
> I've not found answers in the book or in ?read_csv.
> 
> What am I missing?
> 
> Rich
> 
> ______________________________________________
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-- 
Kevin E. Thorpe
Head of Biostatistics,  Applied Health Research Centre (AHRC)
Li Ka Shing Knowledge Institute of St. Michael’s Hospital
Assistant Professor, Dalla Lana School of Public Health
University of Toronto
email: kevin.tho...@utoronto.ca  Tel: 416.864.5776  Fax: 416.864.3016

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