baked_goods <- read_csv("https://raw.githubusercontent.com/cct-datascience/CALS-workshops/main/202302-multivariate/baked_goods.csv")
head(baked_goods)
# A tibble: 6 × 31
type recipe_id baking pow…¹ baking …² butter butterm…³ chocolate
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 Cupcake 145206 0.00174 0.000868 0 0 0
2 Cupcake 240140 0.000868 0.000694 0.0167 0 0
3 Cupcake 161019 0.000868 0.00174 0 0.0417 0.0339
4 Muffin 16945 0 0 0.0741 0 0
5 Muffin 228562 0.00116 0.00231 0.00694 0 0
6 Cupcake 215375 0.00130 0.000651 0 0 0
# … with 24 more variables: cornmeal <dbl>, `cream cheese` <dbl>,
# eggs <dbl>, flour <dbl>, fruit <dbl>, `fruit juice` <dbl>,
# honey <dbl>, margarine <dbl>, milk <dbl>, nut <dbl>, oats <dbl>,
# oil <dbl>, other <dbl>, salt <dbl>, `sour cream` <dbl>,
# spice <dbl>, starch <dbl>, sugar <dbl>, unitless <dbl>,
# vanilla <dbl>, vegetable <dbl>, vinegar <dbl>, water <dbl>,
# yogurt <dbl>, and abbreviated variable names ¹`baking powder`, …