Don’t Panic
An MPH’s Guide to Data
Don’t Panic
Welcome!
About This Project
Data Types
1
Overview
2
Why Variable Type Matters
3
Categorical Data
4
Quantitative Data
5
Classifying Variables
6
Further Resources
Describing Differences
7
Overview
8
Why Comparisons Matter
9
Ratios, Proportions & Percentages
10
Rates, Prevalence & Incidence
11
Correlation vs Causation
12
Ethics of Interpretation
13
More to Explore
Probability & Uncertainty
14
Overview
15
Probability Intuition
16
Odds vs Probability
17
Distributions
18
Confidence With Numbers
19
Hindsight Bias
20
Choosing a Distribution
Generative AI
21
Overview
22
How LLMs Work
23
Having an Assistant
24
Hallucinations & Limits
25
Chains & Consequences
26
Societal Integration
27
Ethics, Risk & Oversight
Don’t Panic
An MPH’s Guide to Data
For Those Who’d Rather Not
Jonathan Barnes
About This Project