May 09 2022 11:37 AM
I have a list of registrations and want to count the number in each category (T, S) that occurs at every whole hour. If no registration at a certain time, it should fill inn "0". (Dataset is below)
Want it to look like this (example):
Category | |||
Date | Time | T | S |
2021-07-04 | 00:00 | 1 | |
2021-07-04 | 01:00 | 1 | |
2021-07-04 | 02:00 | 1 | 1 |
2021-07-04 | 03:00 | 1 | |
2021-07-04 | 04:00 | 3 | |
2021-07-04 | 05:00 | 2 | |
Dataset:
Date | Hour | Category |
2021-07-04 | 00.38 | T |
2021-07-04 | 01.04 | T |
2021-07-04 | 02.01 | S |
2021-07-04 | 02.33 | T |
2021-07-04 | 03.11 | T |
2021-07-04 | 04.05 | T |
2021-07-04 | 04.06 | T |
2021-07-04 | 04.23 | T |
2021-07-04 | 05.28 | T |
2021-07-04 | 05.28 | T |
2021-07-04 | 06.09 | T |
2021-07-04 | 06.33 | T |
2021-07-04 | 07.03 | T |
2021-07-04 | 07.09 | S |
2021-07-04 | 07.51 | T |
2021-07-04 | 07.56 | T |
2021-07-04 | 08.17 | T |
2021-07-04 | 08.18 | T |
2021-07-04 | 08.29 | T |
2021-07-04 | 08.44 | T |
2021-07-04 | 09.05 | T |
2021-07-04 | 09.05 | T |
2021-07-04 | 09.23 | T |
2021-07-04 | 10.34 | T |
2021-07-04 | 10.38 | T |
2021-07-04 | 11.22 | S |
2021-07-04 | 11.40 | T |
2021-07-04 | 11.54 | T |
2021-07-04 | 12.16 | T |
2021-07-04 | 12.30 | S |
2021-07-04 | 13.17 | T |
2021-07-04 | 14.42 | S |
2021-07-04 | 15.59 | T |
2021-07-04 | 16.42 | S |
2021-07-04 | 20.01 | T |
2021-07-04 | 20.55 | T |
2021-07-04 | 21.07 | T |
2021-07-04 | 21.13 | T |
2021-07-04 | 21.39 | T |
2021-07-04 | 22.18 | T |
2021-07-04 | 22.22 | T |
2021-07-04 | 22.22 | T |
2021-07-04 | 22.29 | T |
2021-07-04 | 22.50 | T |
2021-07-04 | 22.53 | T |
2021-07-04 | 23.41 | T |
2021-07-05 | 00.33 | T |
2021-07-05 | 01.37 | T |
2021-07-05 | 02.29 | T |
2021-07-05 | 03.07 | S |
2021-07-05 | 04.07 | T |
2021-07-05 | 04.07 | T |
2021-07-05 | 04.33 | S |
2021-07-05 | 04.48 | S |
2021-07-05 | 05.05 | T |
2021-07-05 | 05.56 | T |
2021-07-05 | 06.19 | T |
2021-07-05 | 06.58 | S |
2021-07-05 | 07.12 | S |
2021-07-05 | 07.52 | S |
2021-07-05 | 06.54 | T |
2021-07-05 | 08.32 | S |
2021-07-05 | 08.41 | T |
2021-07-05 | 09.03 | T |
2021-07-05 | 09.16 | T |
2021-07-05 | 09.18 | T |
2021-07-05 | 09.34 | T |
2021-07-05 | 09.57 | T |
2021-07-05 | 10.21 | T |
2021-07-05 | 10.31 | S |
2021-07-05 | 10.43 | T |
2021-07-05 | 10.58 | T |
2021-07-05 | 11.10 | T |
2021-07-05 | 12.26 | S |
2021-07-05 | 12.42 | T |
2021-07-05 | 14.19 | S |
2021-07-05 | 15.01 | T |
2021-07-05 | 15.04 | S |
2021-07-05 | 15.40 | T |
2021-07-05 | 15.46 | T |
2021-07-05 | 15.48 | T |
2021-07-05 | 15.42 | T |
2021-07-05 | 16.04 | T |
2021-07-05 | 16.27 | S |
2021-07-05 | 16.48 | T |
2021-07-05 | 17.27 | T |
2021-07-05 | 17.29 | T |
2021-07-05 | 17.48 | T |
2021-07-05 | 18.20 | T |
2021-07-05 | 18.27 | T |
2021-07-05 | 18.36 | T |
2021-07-05 | 18.46 | T |
2021-07-05 | 19.01 | T |
2021-07-05 | 19.31 | S |
2021-07-05 | 19.38 | T |
2021-07-05 | 20.01 | T |
2021-07-05 | 20.02 | S |
2021-07-05 | 20.51 | S |
2021-07-05 | 21.28 | S |
2021-07-05 | 21.45 | S |
2021-07-05 | 21.50 | T |
2021-07-05 | 22.08 | S |
2021-07-05 | 22.12 | S |
2021-07-05 | 22.17 | T |
2021-07-05 | 22.20 | T |
2021-07-05 | 22.28 | S |
2021-07-05 | 22.44 | T |
2021-07-05 | 22.54 | T |
2021-07-05 | 23.52 | T |
2021-07-06 | 01.01 | S |
2021-07-06 | 01.07 | S |
2021-07-06 | 03.19 | T |
2021-07-06 | 03.20 | S |
2021-07-06 | 04.10 | S |
2021-07-06 | 04.13 | T |
2021-07-06 | 05.14 | T |
2021-07-06 | 05.23 | T |
2021-07-06 | 05.46 | S |
2021-07-06 | 05.53 | S |
2021-07-06 | 06.04 | T |
2021-07-06 | 06.42 | T |
2021-07-06 | 06.56 | T |
2021-07-06 | 07.08 | T |
2021-07-06 | 07.29 | T |
2021-07-06 | 07.29 | T |
2021-07-06 | 07.37 | T |
2021-07-06 | 07.37 | T |
2021-07-06 | 07.37 | T |
2021-07-06 | 07.41 | T |
2021-07-06 | 07.41 | T |
2021-07-06 | 07.49 | T |
2021-07-06 | 07.51 | T |
2021-07-06 | 07.57 | T |
2021-07-06 | 08.00 | T |
2021-07-06 | 08.00 | T |
2021-07-06 | 08.06 | S |
2021-07-06 | 08.06 | T |
2021-07-06 | 08.08 | T |
2021-07-06 | 08.11 | T |
2021-07-06 | 08.38 | T |
2021-07-06 | 09.08 | T |
2021-07-06 | 09.11 | T |
2021-07-06 | 10.04 | T |
2021-07-06 | 10.05 | T |
2021-07-06 | 10.06 | T |
2021-07-06 | 10.20 | T |
2021-07-06 | 10.26 | T |
2021-07-06 | 10.39 | T |
2021-07-06 | 10.40 | T |
2021-07-06 | 10.42 | S |
2021-07-06 | 10.45 | T |
2021-07-06 | 11.05 | T |
2021-07-06 | 11.18 | T |
2021-07-06 | 11.18 | T |
2021-07-06 | 11.28 | T |
2021-07-06 | 11.41 | T |
2021-07-06 | 11.45 | S |
2021-07-06 | 12.26 | T |
2021-07-06 | 12.29 | T |
2021-07-06 | 12.34 | S |
2021-07-06 | 12.44 | T |
2021-07-06 | 12.49 | T |
2021-07-06 | 12.55 | T |
2021-07-06 | 13.33 | T |
2021-07-06 | 15.20 | T |
2021-07-06 | 16.16 | T |
2021-07-06 | 16.21 | S |
2021-07-06 | 16.23 | T |
2021-07-06 | 16.30 | T |
2021-07-06 | 16.52 | S |
2021-07-06 | 17.03 | T |
2021-07-06 | 17.04 | T |
2021-07-06 | 17.28 | T |
2021-07-06 | 17.29 | T |
2021-07-06 | 17.38 | T |
2021-07-06 | 17.38 | T |
2021-07-06 | 18.00 | T |
2021-07-06 | 18.14 | T |
2021-07-06 | 18.15 | T |
2021-07-06 | 18.23 | S |
2021-07-06 | 18.58 | T |
2021-07-06 | 18.59 | T |
2021-07-06 | 19.10 | T |
2021-07-06 | 19.23 | T |
2021-07-06 | 19.39 | T |
2021-07-06 | 19.50 | T |
2021-07-06 | 20.14 | T |
2021-07-06 | 20.27 | T |
2021-07-06 | 22.00 | T |
2021-07-06 | 23.52 | T |
2021-07-07 | 01.01 | S |
2021-07-07 | 01.07 | S |
2021-07-07 | 03.19 | T |
2021-07-07 | 03.20 | S |
2021-07-07 | 04.10 | S |
2021-07-07 | 04.13 | T |
2021-07-07 | 05.04 | S |
2021-07-07 | 05.14 | T |
2021-07-07 | 05.46 | S |
2021-07-07 | 05.53 | S |
2021-07-07 | 06.04 | T |
2021-07-07 | 06.42 | T |
2021-07-07 | 06.56 | T |
2021-07-07 | 07.08 | T |
2021-07-07 | 07.29 | T |
2021-07-07 | 07.29 | T |
2021-07-07 | 07.37 | T |
2021-07-07 | 07.37 | T |
2021-07-07 | 07.37 | T |
2021-07-07 | 07.40 | S |
2021-07-07 | 07.43 | S |
2021-07-07 | 07.44 | T |
2021-07-07 | 08.00 | T |
2021-07-07 | 08.10 | T |
2021-07-07 | 08.16 | S |
2021-07-07 | 08.19 | T |
2021-07-07 | 08.36 | S |
2021-07-07 | 08.48 | T |
2021-07-07 | 09.10 | T |
2021-07-07 | 09.18 | T |
2021-07-07 | 09.28 | T |
2021-07-07 | 09.34 | T |
2021-07-07 | 09.46 | T |
2021-07-07 | 10.03 | S |
2021-07-07 | 10.19 | S |
2021-07-07 | 10.24 | S |
2021-07-07 | 10.53 | T |
2021-07-07 | 11.39 | T |
2021-07-07 | 11.43 | T |
2021-07-07 | 13.43 | T |
2021-07-07 | 14.07 | T |
2021-07-07 | 14.54 | T |
2021-07-07 | 15.07 | T |
2021-07-07 | 17.56 | T |
2021-07-07 | 18.01 | T |
2021-07-07 | 18.15 | S |
2021-07-07 | 19.19 | T |
2021-07-07 | 19.45 | T |
2021-07-07 | 19.49 | S |
2021-07-07 | 19.49 | T |
2021-07-07 | 20.07 | T |
2021-07-07 | 20.41 | T |
2021-07-07 | 21.45 | T |
2021-07-08 | 06.00 | T |
2021-07-08 | 08.14 | T |
2021-07-08 | 08.27 | T |
2021-07-08 | 08.49 | T |
2021-07-08 | 09.01 | T |
2021-07-08 | 09.10 | T |
2021-07-08 | 09.21 | T |
2021-07-08 | 09.51 | T |
2021-07-08 | 09.52 | S |
2021-07-08 | 09.52 | T |
May 09 2022 11:46 AM
One option is a pivottable - see the attached sample workbook.
I added an auxiliary column "Hour (rounded)" to the source data, and used that instead of the Hour column in the pivot table.
I changed the pivot table to tabular format, specified that it should have no subtotals and grand totals, and that labels should be repeated.
May 09 2022 11:55 AM
You can add a working column 'Round hour' next to your data
Then using HOUR function you can get the round (whole hours).
Then you can summarize the results with COUNTIF or pivot table
May 09 2022 12:24 PM
I used the HOUR and COUNTIF to get half way, but still need input on the code to summarize/ sum up the numbers each hour/ date. Please see the attached dataset
Any input is appreciated. Thanks again!
May 09 2022 12:25 PM
May 09 2022 12:34 PM
SolutionSee the attached version. It uses SUMPRODUCT, not COUNTIF.
May 09 2022 12:34 PM
Solution