Hi all,
Really need some help to avoid some time consuming lame manual filtering. I have 50 different data sets containing three columns each. First data set is in A - Dates, B - Name and C - value.
My data sets have different dates and the quantity of them differs also. But all has the same columns, Dates, Name, Value.
All data sets have daily data, one row per day. I want them in monthly data. My biggest data sets reach back 13 years.
Thus I need to remove all daily data except the first or last value in each month (to be convinient).
My current method involves using the filter and clicking out one date in each month, one at a time. That is around 400-500 clicks for one data set...
The problem with my method is that not every data set has the same dates in a month. So if i want january first for example, some data sets may start in january third. This could be solved with an OR function in a macro, but it's beyond my skills.
What should I do? Is there any macro out there for this?
Thanks alot in advance! Appreciate all help.
Really need some help to avoid some time consuming lame manual filtering. I have 50 different data sets containing three columns each. First data set is in A - Dates, B - Name and C - value.
My data sets have different dates and the quantity of them differs also. But all has the same columns, Dates, Name, Value.
All data sets have daily data, one row per day. I want them in monthly data. My biggest data sets reach back 13 years.
Thus I need to remove all daily data except the first or last value in each month (to be convinient).
My current method involves using the filter and clicking out one date in each month, one at a time. That is around 400-500 clicks for one data set...
The problem with my method is that not every data set has the same dates in a month. So if i want january first for example, some data sets may start in january third. This could be solved with an OR function in a macro, but it's beyond my skills.
What should I do? Is there any macro out there for this?
Thanks alot in advance! Appreciate all help.