| aggregation_map_helpers | R Documentation | 
Aggregation is a many-to-few operation
where specifics are summed to comprise broader categories.
Examples include "John", "Paul", "George", and "Ringo"
aggregated to "Beatles"; and
"Mick", "Keith", "Ronnie", "Bill", and "Charlie"
aggregated to "Stones".
An aggregation map is a named list that describes the aggregation
to be performed.
An aggregation map for the examples above is
list(Beatles = c("John", "Paul", "George", "Ringo"),  Stones = c("Mick", "Keith", "Ronnie", "Bill", "Charlie"))
Aggregation maps can be generated from many shapes of data.
These functions assist with translating from different data shapes to
aggregation maps.
agg_table_to_agg_map(.df, few_colname, many_colname)
agg_map_to_agg_table(aggregation_map, few_colname, many_colname)
| .df | A data frame from which an aggregation map is to be extracted. | 
| few_colname | The string name of a column in a data frame that corresponds to the "few" aggregated categories. | 
| many_colname | The string name of a column in a data frame that corresponds to the "many" specific items that will be aggregated. | 
| aggregation_map | An aggregation map to be converted to a data frame. | 
For agg_table_to_agg_map(), an aggregation map.
For agg_map_to_agg_table(), a data.frame, probably at tibble.
bands <- tibble::tribble(~band, ~members, 
                         "The Beatles", "John", 
                         "The Beatles", "Paul", 
                         "The Beatles", "George", 
                         "The Beatles", "Ringo", 
                         # Rejects duplicates and NA
                         "The Beatles", "Ringo",
                         "The Beatles", NA, 
                         "Rolling Stones", "Mick", 
                         "Rolling Stones", "Keith",
                         "Rolling Stones", "Ronnie",
                         "Rolling Stones", "Bill",
                         "Rolling Stones", "Charlie")
agg_map <- agg_table_to_agg_map(bands, 
                                few_colname = "band",
                                many_colname = "members")
agg_map
agg_map_to_agg_table(agg_map, few_colname = "bands", many_colname = "members")
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