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Session 1 of 8
Data Tells
a Story
Numbers are just the beginning. Today we learn how to find the meaning inside the data.
📊 Data Science for Young Minds · Grade 4 — What's the Story?
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Opening Hook
What Do These Numbers Mean?
4200 · 5100 · 4800 · 6300 · 5900 · 9200 · 8700
Seven numbers. What's the story?
Think quietly for 30 seconds. Then share with a neighbor.
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The Reveal
Context Changes Everything
Those numbers are daily step counts for one person, Monday through Sunday.
| Day | Mon | Tue | Wed | Thu | Fri | Sat | Sun |
|---|
| Steps | 4,200 | 5,100 | 4,800 | 6,300 | 5,900 | 9,200 | 8,700 |
Now what's the story? Context transforms numbers into meaning. That's interpretation.
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Today's Plan
What We're Doing Today
- 🔢 Raw numbers vs. what they mean — the interpretation gap
- 🔄 The full data cycle — where interpretation fits
- 📊 Three data sets — you interpret each one
- 🗣️ Share-out — how different people read the same data
- ✍️ Writing a claim supported by evidence
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Lesson 1
Raw Numbers vs. Meaning
🔢 Raw Data
- Just the numbers or labels
- No context given yet
- Could mean many things
- "47, 52, 39, 61, 44"
💡 Meaning (Interpretation)
- Numbers + context + judgment
- Explains what the data shows
- Backed by specific evidence
- "Quiz scores — most students passed, avg ~49"
The jump from raw to meaning is interpretation — the most human part of data science.
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Lesson 2
The Full Data Cycle
Every data investigation follows the same path. We're focusing on the hardest step today.
Steps 1–4 can be done by a computer. Interpretation requires a human mind. That's what makes it the most important — and hardest — step.
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Lesson 3
Claim vs. Evidence
❌ Guess (no evidence)
- Based on feeling
- No numbers cited
- "I think they like to walk."
- "The data looks interesting."
✅ Claim (evidence-backed)
- Based on specific numbers
- Cites data as evidence
- "They walk more on weekends — Saturday (9,200) is double Monday (4,200)."
📝 Sentence frame: "My claim is ___ because the data shows ___."
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Activity Time!
Three Data Sets — Your Turn to Interpret
You'll look at three tables of data. For each one, write:
- 📊 What you notice — patterns, high points, low points
- 💡 Your interpretation — what does it mean?
- 📋 Your claim — one sentence with evidence
⏱ Work alone for 8 minutes, then compare with a partner for 5 minutes.
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Data Set A
Daily Steps — One Week
| Day | Mon | Tue | Wed | Thu | Fri | Sat | Sun |
|---|
| Steps | 4,200 | 5,100 | 4,800 | 6,300 | 5,900 | 9,200 | 8,700 |
What's your claim about this person's activity patterns? Use at least one specific number as evidence.
Write your interpretation on your worksheet — Data Set A.
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Data Sets B & C
Books Read & Monthly Temperature
📚 Data Set B — Books Read per Month
| Month | Sep | Oct | Nov | Dec | Jan |
|---|
| Books | 3 | 5 | 2 | 1 | 4 |
🌡️ Data Set C — Avg Temp (°F)
| Month | Jan | Mar | May | Jul | Sep | Nov |
|---|
| Temp | 32 | 45 | 68 | 85 | 72 | 48 |
Write one claim for each. Remember: evidence = specific number!
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🧠
Brain Break — Quick Mental Math!
Using Data Set A (the steps):
Which two days have steps that add up closest to 10,000?
Think in your head — no pencil!
Mon (4200) + Sat (9200)? Tue (5100) + Thu (6300)? 🤔
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Class Discussion
Share-Out — Same Data, Different Stories
"Did anyone reach a DIFFERENT conclusion from a classmate about the same data set? Tell us what you each said."
- Which interpretation had the strongest evidence?
- Can both interpretations be correct? How?
- What extra information would help you be more sure?
- What does this tell us about interpretation?
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Big Idea
Why Is Interpretation the Hardest Step?
- 📊 Data doesn't speak for itself — it needs a human to explain it
- 🔍 Same numbers can support different (valid) conclusions
- ⚠️ Context matters — who collected it? When? How?
- 🧠 Interpretation requires judgment, not just calculation
- ✅ Strong interpretations always use specific evidence
This is why data scientists never just say "the data shows X" — they say "the data shows X because [specific evidence]."
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Vocabulary Review
Words to Know
Data
A collection of facts, numbers, or observations
Interpret
To explain what data means using evidence
Conclude
To reach a judgment based on the data
Evidence
Specific numbers or facts that support a claim
Claim
A statement about what you believe the data shows
Context
The who/what/when/why that gives data meaning
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Wrap Up
Session 1 Complete!
- ✅ Raw numbers need context and interpretation to become meaning
- ✅ Interpretation is Step 5 of the data cycle — the hardest step
- ✅ Claims must be backed by specific evidence from the data
- ✅ Two people can validly interpret the same data differently
- ✅ Strong claims name specific numbers, not just vague trends
🔮 Coming up — Session 2: Before we can interpret data, we need to understand what type of data we're working with — categorical vs. numerical.