45,428 marked positions from 13,795 rankers over 11 options.
One of 4 tables from the same source; this one is the nyc_20210622_demcouncild49 table. The others are listed under Related tables.
| Description | Ranked-choice cast vote records, New York City Democratic primary, City Council District 49, 22 June 2021 (the source lists every primary ballot, including precincts where this contest was not on the ballot; see n_ballots_eligible_est): single-winner (instant-runoff) election, 9 candidates, 5 rank positions offered, 13795 ballots with at least one mark (of 43503 in the file). One row per ballot x marked position; item = candidate code c01.. in alphabetical order of the printed names (names not stored), resp = position as marked. Rankings layout (draft irw_rankings family, data/rankings/README.md). |
|---|---|
| Reference | FairVote. Single winner ranked choice voting CVRs [data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/AMK8PJ |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/AMK8PJ |
| Items | 11 |
|---|---|
| Rankers | 13,795 |
| Marked positions (one row each) | 45,428 |
| Rankings per respondent | 1 |
| Counting method | irv |
| Seats | unknown |
| Positions offered | 5 |
| Candidates | 9 |
| Ballots cast | 43,503 |
| Ballots with marks | 13,795 |
| Duplicate marks | 911 |
| Overvotes | 191 |
| Write-ins | 206 |
| Write-in allowed | yes |
| Candidate order | unknown |
| Jurisdiction | NewYorkCity |
| Contest date | 2021-06-22 |
| Office | DEM_CityCouncilD49 |
cov_ballot_stylecov_precinctiditemresptask
The layout (one row per respondent, ranking and marked position; resp the position as recorded, 1 = first choice; item a candidate code c01, c02, … or a reserved value) is defined in the IRW rankings standard. Skipped positions are gaps and duplicate marks are kept, so compress with irw_rank_compress() / irw.rank_compress() before a person-by-item pivot.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("rcv_nyc_20210622_demcouncild49", source = "rank")
# Python
pip install irw
import irw
df = irw.fetch("rcv_nyc_20210622_demcouncild49", source="rank")
@misc{https://doi.org/10.7910/dvn/amk8pj,
doi = {10.7910/DVN/AMK8PJ},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/AMK8PJ},
author = {Otis, Deb},
keywords = {Social Sciences},
title = {Single winner ranked choice voting CVRs},
publisher = {Harvard Dataverse},
year = {2022}
}
| IRW version | v581 |
|---|---|
| Redivis dataset | irw_rank v1.1 |
| Redivis dataset DOI | 10.57761/amk1-y692 |
| Manifest pin for this IRW version | v1.0 |
| Metadata source | irw_meta v44.0 |