Prepare Dissemination Data with Chained Transformations

Convenience function that chains common data preparation steps for dissemination: cleaning names, formatting numbers, standardizing types.

Usage

prepareDisseminationData(
  data,
  clean_names = TRUE,
  format_percentages = TRUE,
  format_floats = TRUE,
  standardize_types = TRUE,
  percent_decimal_places = 1,
  float_decimal_places = 2
)

Arguments

data

Data frame or tibble to prepare

clean_names

Logical. Apply cleanColumnNames(). Defaults to TRUE.

format_percentages

Logical. Apply formatPercentages(). Defaults to TRUE.

format_floats

Logical. Apply formatFloats(). Defaults to TRUE.

standardize_types

Logical. Apply standardizeDataTypes(). Defaults to TRUE.

percent_decimal_places

Integer. Decimal places for percentages. Defaults to 1.

float_decimal_places

Integer. Decimal places for floats. Defaults to 2.

Value

Data frame prepared for dissemination

Details

This function applies transformations in sequence:

1. Clean column names to snake_case

2. Format percentage columns

3. Format float columns

4. Standardize data types

Each step is optional and can be controlled individually.