To cite Federica’s work, please use: Gazzelloni F., 2023 Data Visualization HstM
library(tidyverse)
── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr 1.1.4 ✔ readr 2.1.5
✔ forcats 1.0.0 ✔ stringr 1.5.1
✔ ggplot2 3.5.1 ✔ tibble 3.2.1
✔ lubridate 1.9.3 ✔ tidyr 1.3.1.9000
✔ purrr 1.0.2.9000
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
tuesdata <- tidytuesdayR::tt_load(2023, week =27)
---- Compiling #TidyTuesday Information for 2023-07-04 ----
--- There are 2 files available ---
── Downloading files ───────────────────────────────────────────────────────────
1 of 2: "historical_markers.csv"
2 of 2: "no_markers.csv"