I've used Elasticsearch + Kibana for agricultural data and similarly "expanded" the view out from averages to time series. People in agriculture love averages

I've used Elasticsearch + Kibana for agricultural data and similarly "expanded" the view out from averages to time series. People in agriculture love averages and it makes a lot of sense in financial data since averages preserve totals e.g.: 50 ton / ha average over 100 ha = 5 000 tons At the same time summing each individual ha gives you 5 000 tons total. But once you realise that you can expand on this, things get really interesting. I don't know of other people working on the same problems that I am working on, but they are relevant both economically (in the sense of making money) and environmentally (in the sense of improving efficiency and managing climate).