[Solved] finding the most frequent item using bigmemory techniques and parallel computing? [closed]

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Let’s say your data.frame is called dd. If you want to see the total number of weather delays for each month across all years you can do

delay <- aggregate(WeatherDelay~Month, dd, sum)
delay[order(-delay$WeatherDelay),]

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solved finding the most frequent item using bigmemory techniques and parallel computing? [closed]