# Load library
library(tidyverse)
# Import data
cereal = read_csv(file = "https://raw.githubusercontent.com/zief0002/epsy-5261/main/data/cereal.csv")
# View data
cerealcereal.csv
The data in cereal.csv includes nutrition information collected from breakfast cereals. The data, which were provided by Lock et al. (2020), were obtained from http://nutritionresource.com/.
The attributes included in the data are:
name: Brand name of cerealcompany: Manufacturer (G=General Mills, K=Kellog’s or Q=Quaker)serving: Serving size (in cups)calories: Calories (per cup)fat: Fat (grams per cup)sodium: Sodium (mg per cup)carbs: Carbohydrates (grams per cup)fiber: Dietary Fiber (grams per cup)sugars: Sugars (grams per cup)protein: Protein (grams per cup)
Preview
# A tibble: 30 × 10
name company serving calories fat sodium carbs fiber
<chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 AppleJacks K 1 117 0.6 143 27 0.5
2 Boo Berry G 1 118 0.8 211 27 0.1
3 Cap'n Crunch Q 0.75 144 2.1 269 31 1.1
4 Cinnamon Toast Crunch G 0.75 169 4.4 408 32 1.7
5 Cocoa Blasts Q 1 130 1.2 135 29 0.8
6 Cocoa Puffs G 1 117 1 171 26 0.8
7 Cookie Crisp G 1 117 0.9 178 26 0.5
8 Corn Flakes K 1 101 0.1 202 24 0.8
9 Corn Pops K 1 117 0.2 120 28 0.3
10 Crispix K 1 113 0.3 229 26 0.1
sugars protein
<dbl> <dbl>
1 15 1
2 14 1
3 16 1.3
4 13.3 2.7
5 16 1
6 14 1
7 13 1
8 3 2
9 15 1
10 3 2
# ℹ 20 more rows
References
Lock, R., Lock, P. F., Morgan, K. L., Lock, E. F., & Lock, D. F. (2020). Statistics: Unlocking the power of data. Wiley.