please see data sample as follows:
3326 2015-03-03 Wm Eu Apple 2L 60
3327 2015-03-03 Tp Euro 2 Layer 420
3328 2015-03-03 Tpe 3-Layer 80
3329 2015-03-03 14/3 Bgs 145
3330 2015-03-04 T/P 196
3331 2015-03-04 Wm Eu Apple 2L 1,260
3332 2015-03-04 Tp Euro 2 Layer 360
3333 2015-03-04 14/3 Bgs 1,355
Currently graphing this data creates a really horrible graph because the amount of cartons change so rapidly by day. It would make more sense to sum the cartons by month so that each data point represents a sum for that month rather than an individual day. The current range of the data is 11/01/2008-04/01/2015.
This is the code that I am using to graph (which may or may not be relevant for this):
ggvis(myfile, ~Shipment.Date, ~ctns) %>%
layer_lines()
Shipment.Date is column 2 in the data set and ctns is the 4th column.
I don't know much about R and have given it a few trys with some code that I have found here but I don't think I have found a problem similar enough to match the code. My idea is to create a new table, sum Act. Ctns for the month and then save it as that new table and graph from there.
Thanks for any assistance! :)