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Challenge 02-July 2026

Description: You are a data analyst working for nutrition counseling. Your client shared two datasets with you: One containing nutrition facts of various foods (kcal, protein, fat, carbs) per serving size; The other containing a list with food items and their local store prices (in $).

Your client is on a budget but still wants to improve their fitness goal. You were asked to create a budget friendly high protein meal. The meal should consist of four items:

  • one protein item (must be a high-protein (>25g proteins) and low-fat (<5g fats) source),

  • one carbohydrate item (must be a low-carb source with <50g carbs), and

  • two different vegetables (must be less than 100 kcal and ideally as much protein as possible).

Clean and process the two datasets. Your client wants to know:

  1. What are the top 5 foods that offer the best value for money in terms of protein (i.e. with the highest protein per dollar ratio)?

  2. Which 4 food items should they buy for their next meal to get a high protein on a tight budget?

Food Macros
CSV Reader
Food Prices
CSV Reader
String Cleaner
String Replacer
Expression
Column Renamer
Protein per dollar ratio
Math Formula
Highest protein vegetablesTotal Price/g (lowest)
Sorter
Joiner
Missing Value
Low carb <50g
Row Filter
Hight Protein >35g and Low-fat <5g
Row Filter
Highest ProteinProtein/Price (lowest)
Sorter
Visualization
Component
Total Price/g Ascending
Sorter
Vegetables
Row Splitter
Total Price/g Ascending
Sorter
Concatenate
Vegetables <100 kcal
Row Filter
Proteins
Row Splitter
Concatenate
Low Carb <.50g
Row Splitter

Nodes

Extensions

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