I have a dataset that is structured like this:
| FY | County | StatA | StatB | StatC |
| 2023 | CountyA | 1 | 2 | 3 |
| 2023 | CountyB | 2 | 3 | 4 |
| 2023 | CountyC | 3 | 4 | 5 |
| 2024 | CountyA | 4 | 5 | 6 |
| 2024 | CountyB | 0 | 1 | 2 |
| 2024 | CountyC | 1 | 2 | 3 |
| 2025 | CountyA | 2 | 3 | 4 |
| 2025 | CountyB | 3 | 4 | 5 |
| 2025 | CountyC | 4 | 5 | 6 |
...and so on for many counties, across many years.
I would like to create some interactive visualizations for this dataset, eventually in the form of a web app, but don't have much experience with time enabled layers or even just longitudinal data in general. From my understanding of time enabled layers in ArcGIS, I will need to change my dataset to look more like this, so that each county has only one record:
| County | FY23_StatA | FY23_StatB | FY23_StatC | FY24_StatA | FY24_StatB | FY24_StatC | FY25_StatA | FY25_StatB | FY25_StatC |
| CountyA | 1 | 2 | 3 | 4 | 5 | 6 | 2 | 3 | 4 |
CountyB | 2 | 3 | 4 | 0 | 1 | 2 | 3 | 4 | 5 |
CountyC | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | 6 |
Is my understanding correct? And is there a smarter way to go about visualizing this data that doesn't require reformatting?
Hi @HWhitty
With the table at the moment I can't see why you can't use this format once you have joined the data to something spatial, date filters should be able to identify the date field or you can specify.
You may also want to look at Transpose Fields (Data Management)