Descriptive statistics on a dataset
Compute standard summary statistics on a dataset in one pass using numpy-ts reduction functions.Building histograms
Usehistogram to bin data into intervals and compute counts. This is the basis for visualizing distributions.
Correlation matrix with corrcoef
Compute the Pearson correlation coefficient matrix to understand relationships between variables.Monte Carlo simulation
Use random sampling to estimate quantities that are difficult to compute analytically.Weighted average
Compute a weighted mean when some observations carry more importance than others.Working with NaN-safe reductions
Real datasets often contain missing values. Use thenan* family of functions to ignore NaN entries.