Closed dcaud closed 4 years ago
Commented on the tidycensus side, but this is not an issue with the latest CRAN version of tidycensus:
> library(tidycensus)
> packageVersion("tibble")
[1] ‘3.0.0’
> packageVersion("tidycensus")
[1] ‘0.9.9.2’
>
> get_acs(geography = "state",
+ variables = "B01002_001")
Getting data from the 2014-2018 5-year ACS
# A tibble: 52 x 5
GEOID NAME variable estimate moe
<chr> <chr> <chr> <dbl> <dbl>
1 01 Alabama B01002_001 38.9 0.1
2 02 Alaska B01002_001 34 0.1
3 04 Arizona B01002_001 37.4 0.1
4 05 Arkansas B01002_001 37.9 0.1
5 06 California B01002_001 36.3 0.1
6 08 Colorado B01002_001 36.6 0.1
7 09 Connecticut B01002_001 40.8 0.2
8 10 Delaware B01002_001 40.2 0.2
9 11 District of Columbia B01002_001 33.9 0.1
10 12 Florida B01002_001 41.9 0.1
# … with 42 more rows
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I'd give you a reprex, but then I'd be wasting even more of my time. I just wasted an hour troubleshooting a non-sensical error message. Downgrading with
install_version("tibble", version = "2.1.3", repos = "http://cran.us.r-project.org")
solved the problem.My beef here isn't about this specific issue (I've already figured out a workaround). The "bug" here is just a general lack of ability to get stuff done in the wild west of R.
Can y'all coordinate a bit more?!