Arcade in ArcGIS Dashboards |

[@WaliSayed]

Very useful tips and insights, thanks for your efforts!

[@EsriDevs]

We're so glad you found this to be helpful!

[@Tombstone44]

awesome video! is there any documentation about these charts? 00:47:13 - Cool stuff with Arcade

[@EsriDevs]

Thank you Tombstone! Here you have a few blog articles written by our colleagues: - Charting multidimensional data in ArcGIS Dashboards: www.esri.com/arcgis-blog/products/ops-dashboard/real-time/charting-multidimensional-data-in-arcgis-dashboards/ - Designing Effective Dashboards: www.esri.com/arcgis-blog/products/ops-dashboard/real-time/designing-effective-dashboards/ - Pushing the limits of Arcade in dashboards: www.esri.com/arcgis-blog/products/ops-dashboard/real-time/pushing-the-limits-of-arcade-in-dashboards/

[@Tombstone44]

@@EsriDevs Sweet! I am just looking for the Project Timeline, are there any blogposts about that?

[@EsriDevs]

​@@Tombstone44 The Project Timeline sample provided is an example of one of many ways in which Arcade can be utilized in dashboards. That said, it is not an officially supported workaround, so please refer to our best practices. Additionally, the behavior or the look of the chart can change at any point as the product evolves. Here is a public sample that you can look at, at your own discretion: www.arcgis.com/apps/dashboards/18fb98940d774aee95adc380add1f87e We hope this helps!

[@AlessioDiLorenzo]

Sure! Here's the translation: Thank you for this interesting webinar. I have always believed - and this video confirms it - that the strength of Arcade in dashboards lies in custom formatting and not in data expressions. Everything that can be done with data expressions can be achieved by processing the data offline and uploading it once optimized, all automatically, using Python for example. This way, the dashboard remains more efficient and easier to maintain.

[@RaulJimenezOrtega]

I agree, but I also understand that sometimes, especially when you don't own the layer, like when using a Living Atlas layer (or don't want to change it), data expressions are also useful, right?. As they mention at the end, if you are not processing a huge amount of data... this is an easier way to do things (or experiment).

[@AlessioDiLorenzo]

@@RaulJimenezOrtega experiments are always welcome, but in production I prefer to avoid DA (at least, for now). If you don't own the layer you can always get it using some sort of request, preprocess data locally for your needs and then use it. I look forward for improvements but for now I stay with Arcade just for advanced formatting, that greatly empower dashboard visual appeal and readability.