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Create a Data Frame of Table Inclusion Relationships

Source : R/create_edges.R
create_edges.Rd

This function analyzes a list of data frames (clusters of tables) and identifies inclusion relationships between tables. A table is considered to include another if all its spanning variables (columns defining the structure of the table) are contained within the spanning variables of the other table.

Utilisation

create_edges(list_split)

Arguments

list_split

A list of clusters of tables, where each cluster contains nested data frames. Typically, this is the output of the split_in_clusters function.

Valeur de retour

A list of data frames (list_desc_links), where each data frame describes the inclusion relationships (from and to) within a cluster of tables. Each row in a data frame indicates that the table in the from column is fully included in the table in the to column.

Détails

For example, consider two tables to be published:

  • T1: company_turnover = {nuts x size}

  • T2: company_turnover = {nuts x size x pollution}

All the information in T1 is included in T2. By protecting T2, all cells in T1 will also be protected. This function identifies such inclusion relationships and outputs a data frame that describes these links.

Exemples

if (FALSE) { # \dontrun{
data(metadata_pizza_lettuce)

# Convert wide metadata to long format
metadata_pizza_lettuce_long <- wide_to_long(metadata_pizza_lettuce)

# Identify hierarchical relationships
list_hrc_identified <- identify_hrc(metadata_pizza_lettuce_long)

# Split tables into clusters
list_split <- split_in_clusters(list_hrc_identified)

# Identify inclusion relationships between tables
list_desc_links <- create_edges(list_split)

# View the structure of the result
str(list_desc_links)
} # }