Filter Recipes by Preparation and Cooking Time
filter_by_time.RdThis function filters recipes based on specified minimum and maximum preparation and cooking times.
Usage
filter_by_time(
data,
min_prep_time = 0,
max_prep_time = Inf,
min_cook_time = 0,
max_cook_time = Inf
)Arguments
- data
Data frame containing the recipes.
- min_prep_time
Minimum allowed preparation time in minutes (default is 0).
- max_prep_time
Maximum allowed preparation time in minutes (default is Inf).
- min_cook_time
Minimum allowed cooking time in minutes (default is 0).
- max_cook_time
Maximum allowed cooking time in minutes (default is Inf).
Examples
filter_by_time(data = recipes, min_prep_time = 10, max_prep_time = 30,
min_cook_time = 20, max_cook_time = 60)
#> # A tibble: 4,049 × 10
#> recipe_title rating description cuisine course diet prep_time cook_time
#> <chr> <dbl> <chr> <chr> <chr> <chr> <dbl> <dbl>
#> 1 Thakkali Gotsu R… 4.93 also know… South … Lunch Vege… 10 20
#> 2 Rajma Kofta In M… 4.83 Koftas are… North … Side … High… 20 30
#> 3 Barnyard Millet … 4.90 is a flavo… Indian Lunch Vege… 10 30
#> 4 Karnataka Style … 4.87 Karnataka … Karnat… South… Vege… 10 30
#> 5 Schezwan Style C… 4.93 Love samos… North … Snack Vege… 10 45
#> 6 Pineapple Upside… 4.78 The Classi… Contin… Desse… Vege… 20 40
#> 7 Toffee Banana Re… 4.87 Toffee ban… Chinese Desse… Vege… 10 60
#> 8 Kurkuri Bhindi A… 4.62 Kurkuri Bh… North … Lunch Vege… 15 45
#> 9 Kela Matar ki Sa… 4.94 Kela Matar… North … Lunch No O… 15 20
#> 10 Creamy Chicken P… 4.90 The is a… Italia… Dinner High… 10 20
#> # ℹ 4,039 more rows
#> # ℹ 2 more variables: ingredients <chr>, instructions <chr>