Compute Aggregated Statistics for a Time Series
The article linked to above provides a sample of aggregating time series data.
ts = FinancialData["NYSE:GS", "Price", {{2012, 1, 1}, {2013, 1, 1}}];
total = TimeSeriesAggregate[data, "Quarter", Total];
Interrogating total
returns the following absolute time format for the aggregated date field.
{3538468800, 6738.89}
Is it possible to reformat the absolute time back into a mmm-yy format, which is representative of the month or quarter that the date relates to?