Plot applications by month (Legit vs Fraud) on a log scale

Builds an exploratory chart of absolute application counts by month split by outcome (Legit vs Fraud). Uses a log10 y-axis so rare fraud remains visible on the same axis.

Usage

plot_fraud_by_month(
  dataset_prefix,
  bucket_name = "lake",
  palette = "Dark 3",
  title = ""
)

Arguments

dataset_prefix

Character. Prefix inside the bucket, e.g. "03_primary/variant=Base".

bucket_name

Character. Bucket name. Default "lake".

palette

Character. colorspace qualitative palette name. Default "Dark 3".

title

Character. Plot title. Default "".

Value

A ggplot object.

Details

Data source: expects a cleaned "primary" dataset prefix (e.g. 03_primary/variant=Base) stored in MinIO/S3, accessed via connect_baf().