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ny <- read.csv("20181106__ny__general__precinct.csv")
sum(ny$precinct == "")
The rows with missing precinct names don't have any obvious commonalities, and they're from 4 different counties and 4 different offices. Any thoughts on what's causing this?
Thanks!
The text was updated successfully, but these errors were encountered:
@sbaltzmit a couple of thoughts, yeah: for NYC-area records I think those are actually cumulative totals and will confirm. The Onondaga and Albany ones don't seem to fit that bill, though, so might be conversion errors.
Hello,
when I load the 2018 NY precinct data (20181106__ny__general__precinct.csv acquired from https://github.com/openelections/openelections-data-ny/blob/master/2018/20181106__ny__general__precinct.csv) I find 657 missing precinct names. Replicating the issue is straightforward:
The rows with missing precinct names don't have any obvious commonalities, and they're from 4 different counties and 4 different offices. Any thoughts on what's causing this?
Thanks!
The text was updated successfully, but these errors were encountered: