Use R in a jupyter notebook?

This notebook is writtten in jupyter!

library(ggplot2)
library(tidyverse)

-- Attaching core tidyverse packages ------------------------ tidyverse 2.0.0 --
v dplyr     1.1.0     v readr     2.1.4
v forcats   1.0.0     v stringr   1.5.0
v lubridate 1.9.2     v tibble    3.1.8
v purrr     1.0.1     v tidyr     1.3.0
-- Conflicts ------------------------------------------ tidyverse_conflicts() --
x dplyr::filter() masks stats::filter()
x dplyr::lag()    masks stats::lag()
i Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

df = readr::read_csv('data/store-sales-time-series-forecasting/train.csv')

Rows: 3000888 Columns: 6
-- Column specification --------------------------------------------------------
Delimiter: ","
chr  (1): family
dbl  (4): id, store_nbr, sales, onpromotion
date (1): date

i Use `spec()` to retrieve the full column specification for this data.
i Specify the column types or set `show_col_types = FALSE` to quiet this message.

df |> head()

A tibble: 6 x 6

id	date	store_nbr	family	sales	onpromotion
<dbl>	<date>	<dbl>	<chr>	<dbl>	<dbl>
0	2013-01-01	1	AUTOMOTIVE	0	0
1	2013-01-01	1	BABY CARE	0	0
2	2013-01-01	1	BEAUTY	0	0
3	2013-01-01	1	BEVERAGES	0	0
4	2013-01-01	1	BOOKS	0	0
5	2013-01-01	1	BREAD/BAKERY	0	0