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https://github.com/aariq/cupcakes-vs-muffins

Are cupcakes empirically different than muffins? Let's find out!

https://github.com/aariq/cupcakes-vs-muffins

Science Score: 13.0%

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Keywords

data-wrangling multivariate-data recipes webscraping
Last synced: 6 months ago · JSON representation

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Are cupcakes empirically different than muffins? Let's find out!

Basic Info
  • Host: GitHub
  • Owner: Aariq
  • Default Branch: master
  • Size: 1.34 MB
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  • Stars: 1
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
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Topics
data-wrangling multivariate-data recipes webscraping
Created about 8 years ago · Last pushed about 3 years ago
Metadata Files
Readme

README.md

Cupcakes vs. Muffins

Are cupcakes empirically different than muffins? Let's find out!

This repository contains the following R notebooks:

  1. 1-web-scraping.Rmd: Contains code for scraping ingredients lists, calories, and numbers of servings from www.allrecipes.com for both cupcakes and muffins. Exports muffin_raw.rds and cupcake_raw.rds
  2. 2-wrangling.Rmd: Extracts ingredients, units, and amounts from raw ingredient lists. Converts amounts/units of all ingredients into cups or ounces. Filters data in various ways to ensure integrity of data. Imports muffin_raw.rds and cupcake_raw.rds, exports recipes_tidy.rds and nofrosting_tidy.rds
  3. 3-EDA-outlier-removal.Rmd: Does some exploratory data analysis to detect anomalies and outliers. Exports recipes_wide.rds

And the following .rds files:

  1. cupcake_raw.rds: a list of data frames of raw ingredients lists, servings, and calories from cupcake recipes.
  2. muffin_raw.rds: a list of data frames of raw ingredients lists, servings, and calories from muffin recipes.
  3. recipes_tidy.rds: finalized dataframe containing all acceptable muffin and cupcake recipes with ingredients categorized and amounts summarized by recipe (e.g. if there are two kinds of sugar, they are added together). This dataframe also contains number of servings and calories.
  4. nofrosting_tidy.rds: obviously cupcakes have frosting and muffins do not. In this dataset, frosting and decoration ingredients are removed, as is the calories column since it is no longer accurate.
  5. recipes_wide.rds: A wide data frame (each ingredient in its own column) ready for multivariate analysis.
  6. nofrosting_wide.rds: A wide version of nofrosting_tidy.rds.

Owner

  • Name: Eric R. Scott
  • Login: Aariq
  • Kind: user
  • Company: University of Arizona, @cct-datascience

Scientific Programmer & Educator at University of Arizona

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