Lesson 10 of 10

🏆 Your Data Project

🎯 Grades 6–8 ⏱ ~45 minutes 💚 Capstone

What You'll Do

Choose a real dataset that interests you
Apply the full data analysis workflow
Create at least two charts with Python
Write a clear finding to share with others

💻 Project Starter Code

This is the template for your full data project. Fill in each section with your own data and question.

import csv
import statistics
import matplotlib.pyplot as plt

# ============================================
# STEP 1: Ask your question
# ============================================
question = "Which subject has the highest average score?"

# ============================================
# STEP 2: Your data (or load from CSV)
# ============================================
data = [
    {"subject": "Math",    "score": 88},
    {"subject": "Science", "score": 92},
    {"subject": "English", "score": 75},
    {"subject": "History", "score": 83},
    {"subject": "Art",     "score": 96}
]

# ============================================
# STEP 3: Analyse
# ============================================
subjects = [row["subject"] for row in data]
scores   = [row["score"]   for row in data]

print("Question:", question)
print("Mean score:", statistics.mean(scores))
print("Best subject:", subjects[scores.index(max(scores))])

# ============================================
# STEP 4: Visualise
# ============================================
plt.bar(subjects, scores, color="steelblue")
plt.title("Average Score by Subject")
plt.ylabel("Score")
plt.show()

🆕 Project Ideas

💡

Looking for a Dataset?

Try kaggle.com/datasets for free CSVs on sports, music, weather, and more. Start with something you personally find interesting — your curiosity will carry you through!

⚽ Track your school's sports team scores across a season
☀ Download OKC weather data and find the rainiest month
🎶 Analyse a playlist — which artist has the most streams?
📚 Compare grades across subjects in your own life
🍀 Count the types of birds at a local park over a week

🎉 Final Check

1. What should appear at the very top of every data project?

import matplotlib

A clear question you want to answer

A list of numbers

plt.show()

2. Which of the following is a complete mini-finding?

"Here are the numbers: 88, 92, 75."

"I ran the code and it worked."

"Art had the highest average score (96), while English had the lowest (75)."

"The data was interesting."

3. Which library is the industry standard for working with data frames in Python?

csv

matplotlib

pandas

statistics

4. A complete data project should include at least ___ chart types.

Five

Two

Ten

Zero — charts are optional

🏆 Your Data Project

What You'll Do

💻 Project Starter Code

🆕 Project Ideas

You've Built a Real Skill

Project Checklist

Where to Go Next

🎉 Final Check