library(dplyr)
library(ggplot2)
data(storms)
ggplot(storms, aes(wind,pressure))+
geom_point(alpha=.5,col="blue")+
geom_abline(slope=1,intercept=0)+
facet_wrap(vars(status))
A new article created using the Distill format.
library(dplyr)
library(ggplot2)
data(storms)
ggplot(storms, aes(wind,pressure))+
geom_point(alpha=.5,col="blue")+
geom_abline(slope=1,intercept=0)+
facet_wrap(vars(status))
Text and figures are licensed under Creative Commons Attribution CC BY-NC 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".
For attribution, please cite this work as
Conway (2022, May 28). Data Analytics and Computational Social Science: Test Post Round 2. Retrieved from https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomspconway849705/
BibTeX citation
@misc{conway2022test,
author = {Conway, Sean},
title = {Data Analytics and Computational Social Science: Test Post Round 2},
url = {https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomspconway849705/},
year = {2022}
}
