Table of Contents
Difference between cookies, pastries and pizzas
Source of data
Food Network (http://www.foodnetwork.com/), compiled by the user everest4ever on reddit.com
Description of the dataset
From the online description: “I scraped 1931 recipes from the Food Network that contain the keywords cookies (my group of interest), pastry, or pizza (two control groups). Next I extracted the ingredient list and pooled similar ingredients together (e.g. salt, seasalt, Kosher salt), coming up with a total of 133 unique ingredients. I ended up with a 1931×133 matrix, where each row is one recipe, and each column is whether this recipe contains a certain ingredient (0 or 1).”
Ingredients contain 133 items, from almonds, anchovies, anise and apples to tomatoes, tortillas, vinegar, wine or zucchini.
Locality
Global (perhaps, given the variety of cooking recipes the Food Network website contains)
Environmental variables
| Name of variable | Description |
|---|---|
| type_of_food | A factor with three levels: Cookies, Pastries vs Pizzas |
Data for download
| File name | File type | Description |
|---|---|---|
| cookies-pastry-pizza dataset (everest4ever).xlsx | Excel file | Contains Recipes × ingredients matrix, assignment of recipes to food type, and metadata |
| cookie_dataset_everest4ever_composition.txt | tab-delimited txt format | Recipes × ingredients matrix (1931 recipes in rows, 133 ingredients in columns) |
| cookie_dataset_everest4ever_type.txt | tab-delimited txt format | Type of food (a single column with 1931 rows, values: Cookies/Pastries'/Pizzas'') |
Compositional and environmental data (for all species)
recipes.ingr <- read.delim ('https://raw.githubusercontent.com/zdealveindy/anadat-r/master/data/cookie_dataset_everest4ever_composition.txt', row.names = 1)
recipes.type <- read.delim ('https://raw.githubusercontent.com/zdealveindy/anadat-r/master/data/cookie_dataset_everest4ever_type.txt', row.names = 1)
References
- everest4ever posted on www.reddit.com on 2017/12/18. Original data are stored here.