To cite Federica’s work, please use: Gazzelloni F., 2023 Data Visualization UFSR
── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr 1.1.2 ✔ readr 2.1.4
✔ forcats 1.0.0 ✔ stringr 1.5.0
✔ ggplot2 3.4.2 ✔ tibble 3.2.1
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✔ purrr 1.0.2
── 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 = 25)
--- Compiling #TidyTuesday Information for 2023-06-20 ----
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Downloading file 1 of 3: `ufo_sightings.csv`
Downloading file 2 of 3: `places.csv`
Downloading file 3 of 3: `day_parts_map.csv`
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