metric_forge.ecommerce.polars_ext.Ecommerce_Polars.conversion_rate#

Ecommerce_Polars.conversion_rate( num_conversions_column: str, num_visitors_column: str, ) → Expr[source]#

Calculate Conversion Rate.

Parameters:

num_conversions_column: Total number of conversions for a given time period. Definition is subjective.
num_visitors_column: Total number of visitors for a given time period.

Returns:

Expr

Examples

>>> import polars as pl
... from metric_forge.ecommerce import * 
... data = pl.read_csv('datasets/ecommerce_metrics.csv')

>>> data.select(pl.col('num_conversions'),
...             pl.col('num_visitors'),
...             pl.col('*').forge_ecommerce.conversion_rate('num_conversions', 'num_visitors'))
shape: (12, 3)
┌─────────────────┬──────────────┬─────────────────┐
│ num_conversions ┆ num_visitors ┆ conversion_rate │
│ ---             ┆ ---          ┆ ---             │
│ i64             ┆ i64          ┆ f64             │
╞═════════════════╪══════════════╪═════════════════╡
│ 300             ┆ 13154        ┆ 2.280675        │
│ 427             ┆ 14762        ┆ 2.892562        │
│ 367             ┆ 10056        ┆ 3.649562        │
│ 132             ┆ 19948        ┆ 0.66172         │
│ 147             ┆ 13110        ┆ 1.121281        │
│ …               ┆ …            ┆ …               │
│ 392             ┆ 8840         ┆ 4.434389        │
│ 198             ┆ 6028         ┆ 3.284672        │
│ 271             ┆ 12385        ┆ 2.188131        │
│ 459             ┆ 5502         ┆ 8.342421        │
│ 313             ┆ 11910        ┆ 2.628044        │
└─────────────────┴──────────────┴─────────────────┘