Hi -
Admittedly a newbie.
I am analyzing a file with 16811 rows.
We have interval start data that shows date, hour, minute per quarter hour (00, 15, 30, 45). If they do not meet this criteria, those rows are out of scope for our current analysis
We wish to analyze and chart only the data where there are 4 or more entries for the date and hour. (Some projects have more than one meter, so there could be more than 4 entries for those projects, which is why we are after 4 or more)
In the sample data below, we would not want to count the date 6/1 with start hours 9, 13, 14 or 15.
In the sample data below, we want to count the date 6/1 with the start hours 10, 11 and 12.
Each file spans a month, so the date and hour are the variables. What formula will we use to flag the data for further analysis? We have also added separate columns for day, month and hour if that helps to flag the data we're after.
[TABLE="width: 558"]
<colgroup><col><col><col><col><col></colgroup><tbody>[TR]
[TD]INTERVAL_START_TIME[/TD]
[TD]Start Day[/TD]
[TD]Start Month[/TD]
[TD]Start Hour[/TD]
[TD]<3[/TD]
[/TR]
[TR]
[TD]6/1/2018 9:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]9[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 9:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]9[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 9:45[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]9[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 10:00[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]10[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 10:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]10[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 10:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]10[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 10:45[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]10[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 11:00[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]11[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 11:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]11[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 11:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]11[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 11:45[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]11[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 12:00[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]12[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 12:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]12[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 12:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]12[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 12:45[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]12[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 13:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]13[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 13:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]13[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 13:45[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]13[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 14:00[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]14[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 14:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]14[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 14:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]14[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 15:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]15[/TD]
[TD] [/TD]
[/TR]
</tbody>[/TABLE]
Admittedly a newbie.
I am analyzing a file with 16811 rows.
We have interval start data that shows date, hour, minute per quarter hour (00, 15, 30, 45). If they do not meet this criteria, those rows are out of scope for our current analysis
We wish to analyze and chart only the data where there are 4 or more entries for the date and hour. (Some projects have more than one meter, so there could be more than 4 entries for those projects, which is why we are after 4 or more)
In the sample data below, we would not want to count the date 6/1 with start hours 9, 13, 14 or 15.
In the sample data below, we want to count the date 6/1 with the start hours 10, 11 and 12.
Each file spans a month, so the date and hour are the variables. What formula will we use to flag the data for further analysis? We have also added separate columns for day, month and hour if that helps to flag the data we're after.
[TABLE="width: 558"]
<colgroup><col><col><col><col><col></colgroup><tbody>[TR]
[TD]INTERVAL_START_TIME[/TD]
[TD]Start Day[/TD]
[TD]Start Month[/TD]
[TD]Start Hour[/TD]
[TD]<3[/TD]
[/TR]
[TR]
[TD]6/1/2018 9:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]9[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 9:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]9[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 9:45[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]9[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 10:00[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]10[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 10:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]10[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 10:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]10[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 10:45[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]10[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 11:00[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]11[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 11:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]11[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 11:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]11[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 11:45[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]11[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 12:00[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]12[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 12:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]12[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 12:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]12[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 12:45[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]12[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 13:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]13[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 13:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]13[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 13:45[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]13[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 14:00[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]14[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 14:15[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]14[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 14:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]14[/TD]
[TD] [/TD]
[/TR]
[TR]
[TD]6/1/2018 15:30[/TD]
[TD]6/1[/TD]
[TD]6[/TD]
[TD]15[/TD]
[TD] [/TD]
[/TR]
</tbody>[/TABLE]