group_by_keys

Group table instances by keys aggregating the measures using the corresponding
aggregation function.

internal

Data in multidimensional systems is obtained from operational
systems and is transformed to adapt it to the new structure.
Frequently, the operations to be performed aim to transform a flat
table into a ROLAP (Relational On-Line Analytical Processing) star
database. The main objective of the package is to allow the definition
of these transformations easily. The implementation of the
multidimensional database obtained can be exported to work with
multidimensional analysis tools on spreadsheets or relational
databases.

Jose Samos

rolap

Obtaining Star Databases from Flat Tables

Universidad de Granada 

group_by_keys function

<dl><dt>table</dt>
<dd>A <code>tibble</code>, the instances table.</dd>
<dt>keys</dt>
<dd>A vector of strings, key names to group by.</dd>
<dt>measures</dt>
<dd>A vector of strings, measures to aggregate.</dd>
<dt>agg_functions</dt>
<dd>A vector of strings, aggregate functions.</dd>
<dt>nrow_agg</dt>
<dd>A string, name of a new column to count the number of rows
aggregated.</dd></dl>

Arguments

Group table instances by keys aggregating the measures using the corresponding
aggregation function. — group_by_keys

<dl>

<dt>table</dt>
<dd>A <code>tibble</code>, the instances table.</dd>


<dt>keys</dt>
<dd>A vector of strings, key names to group by.</dd>


<dt>measures</dt>
<dd>A vector of strings, measures to aggregate.</dd>


<dt>agg_functions</dt>
<dd>A vector of strings, aggregate functions.</dd>


<dt>nrow_agg</dt>
<dd>A string, name of a new column to count the number of rows
aggregated.</dd>

</dl>

group_by_keys: Group table instances by keys aggregating the measures using the corresponding aggregation function.

Description

Usage

Value

Arguments