Check for Missing Values by District and Year

calculate_district_completeness_summary calculates the percentage of districts with complete data (no missing values) for each year. By assessing missingness across all districts for each indicator, it provides a summary of data completeness on a per-district basis.

Usage

calculate_district_completeness_summary(.data)

Arguments

.data

A cd_data object containing indicator data with columns prefixed by mis_, indicating missing values for each district and year.

Value

A cd_district_completeness_summary object containing a tibble. This tibble summarizes the percentage of districts with no missing values for each indicator per year, as well as an overall yearly summary across all indicators.

Details

• For each year, the function calculates the percentage of districts without missing values per indicator.

• The output includes specific summary statistics for key indicator groups, such as vaccination indicators and tracer indicators, providing insights into data completeness at a granular level.

• All percentages are rounded to two decimal places.

Examples

if (FALSE) { # \dontrun{
  # Calculate the percentage of districts with complete data per year
  calculate_district_completeness_summary(data)
} # }