## Descriptive Stats ### Categorical variables `table(Smoke)` - like value_counts() in pandas `table(Smoke,Gender)` - it can also do the job of pandas crosstab ### Stats `mean(LungCap, trim=0.1)` - trimmed mean Median - `median(LungCap)` Variance - `var(LungCap)` Standard Deviaiton - `sd(LungCap)` max - `max(LungCap)` min - `min(LungCap)` Range - `range(LungCap)` Sum - `sum(LungCap)` Quantile - `quantile(LungCap, probs=c(0,0.25,0.5,1))` Sum - `sum(LungCap)` Correlation - `cor(LungCap` Covariance - `cov(LungCap, Age)` or `var(LungCap, Age)` Summary - `summary(LungCap)` ## Histograms