Recycling and sustainability in EV Technology - Mini Project: Build & Apply

Recycling and Sustainability

📖 Scenario: You are working with a community group that wants to promote recycling and sustainability. They have collected data about different materials and their recycling rates. Your task is to organize this data and highlight materials that have recycling rates below a certain threshold to focus awareness efforts.

🎯 Goal: Build a simple data structure to hold recycling rates for materials, set a threshold for low recycling rates, identify materials below this threshold, and mark them for special attention.

📋 What You'll Learn

Create a dictionary called materials with exact entries for recycling rates

Create a variable called low_threshold set to 50

Use a dictionary comprehension called low_recycling to select materials with recycling rates below low_threshold

Add a final key-value pair 'focus_area': True to low_recycling to mark it for awareness campaigns

💡 Why This Matters

🌍 Real World

Communities and environmental groups often track recycling rates to focus their sustainability efforts where they are most needed.

💼 Career

Data organization and filtering skills are essential for environmental analysts, sustainability coordinators, and community planners.

1

Create the recycling data dictionary

Create a dictionary called materials with these exact entries: 'Plastic': 30, 'Glass': 70, 'Paper': 60, 'Metal': 45, 'Electronics': 20

EV Technology

# Create the materials dictionary with recycling rates
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with keys as material names and values as recycling rates.

2

Set the low recycling threshold

Create a variable called low_threshold and set it to 50

EV Technology

materials = {'Plastic': 30, 'Glass': 70, 'Paper': 60, 'Metal': 45, 'Electronics': 20}
# Set the low recycling threshold
# Your code here

Need a hint?

Just assign the number 50 to the variable low_threshold.

3

Select materials below the threshold

Use a dictionary comprehension called low_recycling to select materials from materials where the recycling rate is less than low_threshold

EV Technology

materials = {'Plastic': 30, 'Glass': 70, 'Paper': 60, 'Metal': 45, 'Electronics': 20}
low_threshold = 50
# Create low_recycling dictionary with materials below threshold
# Your code here

Need a hint?

Use a dictionary comprehension with for material, rate in materials.items() and an if condition to filter.

4

Mark low recycling materials for focus

Add a key-value pair 'focus_area': True to the low_recycling dictionary

EV Technology

materials = {'Plastic': 30, 'Glass': 70, 'Paper': 60, 'Metal': 45, 'Electronics': 20}
low_threshold = 50
low_recycling = {material: rate for material, rate in materials.items() if rate < low_threshold}
# Add 'focus_area': true to low_recycling
# Your code here

Need a hint?

Use the assignment low_recycling['focus_area'] = True to add the new key-value pair.