174,758 comparisons among 107,845 agents.
One of 6 tables from the same source; this one is the wealthier table. The others are listed under Related tables.
| Description | Place Pulse 2.0: crowdsourced pairwise votes on which of two Google Street View images (56 cities) looks wealthier, 2013-2019. One row per vote; draws = 'equal'; rater = voter. |
|---|---|
| Reference | Salesses, P., & Hidalgo, C. A. (2020). Place Pulse [Data set]. figshare. https://doi.org/10.6084/m9.figshare.11859993.v1; Salesses, P., Schechtner, K., & Hidalgo, C. A. (2013). The collaborative image of the city: mapping the inequality of urban perception. PLoS ONE, 8(7), e68400. |
| DOI | 10.1371/journal.pone.0068400 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.6084/m9.figshare.11859993.v1 |
| Comparisons | 174,758 |
|---|---|
| Agents | 107,845 |
agent_aagent_bcity_acity_bdatehomefieldraterstudy_idwinner
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("placepulse2_wealthier", source = "comp")
# Python
pip install irw
import irw
df = irw.fetch("placepulse2_wealthier", source="comp")
@dataset{salesses_2020,
author = {Salesses, Paulo and Hidalgo, César A.},
year = {2020},
title = {Place Pulse},
publisher = {figshare},
doi = {10.6084/m9.figshare.11859993.v1},
url = {https://doi.org/10.6084/m9.figshare.11859993.v1}
}
| IRW version | v607 |
|---|---|
| Redivis dataset | irw_competitions v6.3 |
| Redivis dataset DOI | 10.57761/7qpg-cj26 |
| Manifest pin for this IRW version | v6.3 |
| Metadata source | irw_meta v47.0 |