This function takes a dataset and produces two visual representations of interventions types: a histogram. It displays the top 10 interventions types based on their frequency in the dataset.

plot_interventions_histogram(x)

Arguments

x

A data frame that must contain a column nct_id for matching with a predefined interventions dataset, which is assumed to be in the user's environment.

Value

A histogram. If the input data frame is missing, empty, or lacks intervention types, the function returns a plot with a text annotation indicating the absence of data.

Details

The function first checks if the input data frame is missing or empty and provides a warning message if so. It then joins the input data frame with the interventions dataset on nct_id and calculates the count of each intervention type.

If no intervention types are found, a warning is issued and a plot with a corresponding message is returned. Otherwise, the function creates a histogram showing the count of the top 10 intervention types.