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Codebook for fastfood dataset

Codebook: Fast Food Nutrition Dataset

Where to find it

  • Dataset name: fastfood
  • Location: Loaded automatically when the openintro package is loaded. Also available online at https://github.com/CUNY-epibios/PUBH614/tree/main/datasets
  • Download the dataset now

Option 1: load this dataset from the openintro package:

Option 2: load this dataset manually

Dataset Overview

This dataset contains nutritional information for various fast food items from different restaurants. The dataset includes multiple observations with 17 variables.

Variables

restaurant

  • Description: Name of the restaurant
  • Type: Categorical
  • Values: Various restaurant names (e.g., Mcdonalds, Chick Fil-A, Sonic, etc.)
  • Missing values: None

item

  • Description: Name of the food item
  • Type: Categorical
  • Values: Various food item names (e.g., Big Mac, Chicken Sandwich, etc.)
  • Missing values: None
  • Note: Each value is unique

calories

  • Description: Total calories in the food item
  • Type: Numeric
  • Values: Range from 20 to 2430
  • Missing values: None

cal_fat

  • Description: Calories from fat
  • Type: Numeric
  • Values: Range from 0 to 1270
  • Missing values: None

total_fat

  • Description: Total fat content in grams
  • Type: Numeric
  • Values: Range from 0 to 141
  • Missing values: None

sat_fat

  • Description: Saturated fat content in grams
  • Type: Numeric
  • Values: Range from 0 to 47
  • Missing values: None

trans_fat

  • Description: Trans fat content in grams
  • Type: Numeric
  • Values: Range from 0 to 8
  • Missing values: None

cholesterol

  • Description: Cholesterol content in milligrams
  • Type: Numeric
  • Values: Range from 0 to 805
  • Missing values: None

sodium

  • Description: Sodium content in milligrams
  • Type: Numeric
  • Values: Range from 0 to 6080
  • Missing values: None

total_carb

  • Description: Total carbohydrate content in grams
  • Type: Numeric
  • Values: Range from 0 to 156
  • Missing values: none

fiber

  • Description: Dietary fiber content in grams
  • Type: Numeric
  • Values: Range from 0 to 17
  • Missing values: 12

sugar

  • Description: Sugar content in grams
  • Type: Numeric
  • Values: Range from 0 to 87
  • Missing values: None

protein

  • Description: Protein content in grams
  • Type: Numeric
  • Values: Range from 0 to 186
  • Missing values: 1

vit_a

  • Description: Vitamin A content as a percentage of daily value
  • Type: Numeric
  • Values: Range from 0 to 180
  • Missing values: 214

vit_c

  • Description: Vitamin C content as a percentage of daily value
  • Type: Numeric
  • Values: Range from 0 to 400
  • Missing values: 210

calcium

  • Description: Calcium content as a percentage of daily value
  • Type: Numeric
  • Values: Range from 0 to 290
  • Missing values: 210

salad

  • Description: Indicates if the item is a salad
  • Type: Categorical
  • Values: - Other = Not a salad
  • Missing values: None

Summary Statistics

item omitted for brevity since each value is unique.

Data Quality Notes

  • The dataset has 301 complete cases and 214 observations with missing values.
  • All variables are coded consistently.
  • Nutritional values are provided in standard units (grams, milligrams, percentages).

Acknowledgements

This codebook was drafted by Microsoft Copilot and edited by Levi Waldron.