Min, Max, and Quartiles
Reading the range and percentiles.
The Edges of Your Data
Center and spread leave out the extremes. Knowing the smallest and largest values frames the range your data can possibly take. 🔭
Min and Max
The min is the lowest value and the max is the highest. They are your first guard against typos like a negative age or an impossible price.
df["age"].min(), df["age"].max()All lessons in this course
- Mean, Median, and Mode
- Spread: Variance and Std Dev
- Min, Max, and Quartiles
- Outliers and What They Mean