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@datavizpyr.bsky.social
· Aug 20
ggplot2 Boxplot AI Workflows: A Modern Guide - Data Viz with Python and R
Master the modern workflow for ggplot2 boxplots. This guide details the pros & cons of manual, AI-generated, and hybrid methods for creating insightful plots fast.
datavizpyr.com
Reposted by datavizpyr.com
Reposted by datavizpyr.com
Reposted by datavizpyr.com
![library(tidymodels)
library(textrecipes)
data("tate_text", package = "modeldata")
tate_split <- initial_split(tate_text)
tate_train <- training(tate_split)
tate_test <- training(tate_split)
rec <- recipe(~ medium, data = tate_train) |>
step_tokenize(medium) |>
step_tfidf(medium, sparse = "yes") |>
prep()
bake(rec, tate_train, composition = "dgCMatrix") |> head()
#> 6 x 822 sparse Matrix of class "dgCMatrix"
#> [[ suppressing 822 column names 'tfidf_medium_1', 'tfidf_medium_10' ... ]]
#>
#> [1,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
#> [2,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
#> [3,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
bake(rec, tate_test, composition = "dgCMatrix") |> head()
#> 6 x 822 sparse Matrix of class "dgCMatrix"
#> [[ suppressing 822 column names 'tfidf_medium_1', 'tfidf_medium_10' ... ]]
#>
#> [1,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
#> [2,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
#> [3,] . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:on2hn6gvz6ezvxenqnnz4urx/bafkreibviwqpz6ioe4nmufayby4zavxrv5235m6e4pchulbeq2cldo4mb4@jpeg)
