Yumechi | ゆめち   Nov 14, 2024
I just learned that #rstats #readr write_csv() returns the data invisibly so you can just insert them within a pipe for a snapshot-then-plot functionality... I always imported magrittr %T>% before but it seems I don't need to use it at all for most cases.
Philipp BayerSep 12, 2024

Nifty little #readr / #tidyverse pattern, no need to unzip zip-files:

obis <- read_csv(unz(description = './data/CKI_P1_OBIS_sightings.zip', filename = 'Occurrence.csv'))

Show threadGerald Leppert, PhD May 8, 2020

@rstats

@jorge posted a quite interesting #webinar #shortcourse on how to handle data efficiently with #rstats

• data management plans
• version control
• R for reproducible data manipulation
• working on clusters
• data publication

#shateEGU20 #FAIRprinciples #tidyverse #dplyr #broom #tidyr #purrr #readr #ggplot2 #markdown #git #spatialdata