Data Analysis
📋 What it is
Analysis means finding patterns, trends, and surprises in data — then explaining what they mean.
🗣️ Coach says
Analysis is where numbers become insight. You look for trends (going up? down?), clusters, and outliers, then ask WHY. The goal isn’t just to compute — it’s to tell the true story the data is holding.
🧠 Memory hook
Analyze = spot the PATTERN (trend / cluster / outlier), then explain WHAT IT MEANS. Numbers → story.
😂 Giggle
Why did the histogram go to the doctor?
It had too many bars and not enough breaks!
😲 Whoa!
When cholera hit London in 1854, John Snow ANALYZED a map of cases, traced them to one water pump, and helped found modern data science.
✅ Quick check: A single data point sits far away from all the others. What is it called?
Say your answer out loud first — then reveal.
An outlier.
An outlier is a value that lies far from the rest of the data.
🧪 Try it! (2 minutes)
Collect 10 numbers (steps per day, scores, etc.). Find the trend and any outlier, then explain both.