I have a polygon shapefile with 150 features. The shapefile has 10 columns of data, each representing a year. I would like to do a simple time slider Choropleth in an AGOL map to explore changes in these values over the 10 years.
I transposed the shapefile so now I have 1500 features, each one representing a polygon in a given year. I am now able to make the layer 'time-enabled' and upload it AGOL. When loading the feature layer in to a map it fails to render due to the size of the dataset (1500 features). Is this the right approach? It seems inefficient to have a replica of the polygon geometry for every year.
I also feel like that it is unlikely that AGOL wouldn't be able to handle this kid of task and am sure I have seen examples where far larger quantities of data have been represented over time.