Pew

Miscellaneous analyses using raw Pew data. See Chapter 2 in Regression and Other Stories.

Source: Pew/pew.Rmd.

The Python version keeps data handling explicit and uses lapylace for Stan-backed generalized linear models, so the statistical model can be read from a formula rather than from handwritten Stan.

from pathlib import Path
import sys
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import lapylace as lp

sys.path.append(str(Path.cwd().parent / 'python'))
from data import ros_path

Notes

Source computation blocks represented: 24.
Data paths are expressed through the shared ros_path() helper.
Formula-based Bayesian regressions are routed through lapylace.stan_glm().
Plotting and simulation work uses NumPy, pandas, matplotlib idioms.

# Pew

Miscellaneous analyses using raw Pew data. See Chapter 2 in
Regression and Other Stories.

Source: `Pew/pew.Rmd`.

The Python version keeps data handling explicit and uses `lapylace` for Stan-backed generalized linear models, so the statistical model can be read from a formula rather than from handwritten Stan.

```{python}
from pathlib import Path
import sys
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import lapylace as lp

sys.path.append(str(Path.cwd().parent / 'python'))
from data import ros_path
```

## Notes

- Source computation blocks represented: 24.
- Data paths are expressed through the shared `ros_path()` helper.
- Formula-based Bayesian regressions are routed through `lapylace.stan_glm()`.
- Plotting and simulation work uses NumPy, pandas, matplotlib idioms.