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@LJackson29 Serial charts allow you to control the size/color of labels on the Chart tab during configuration. Further refinement (e.g. change size) can be done on the Category Axis and Value Axis. Is there something else you need? Also, can you provide more info on "just show the number and not the category label"? (depending on the answer, we might have to consider that as a separate idea/request)
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11-26-2020
10:11 AM
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@LJackson29 Can you provide more details on your idea? Our actions already include options to flash, filter, pan, zoom, etc in order to draw attention to a feature. Are you looking for something else?
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11-26-2020
09:57 AM
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11-26-2020
09:52 AM
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When a serial chart is configured to get its categories (bars) from Grouped Values, the dashboard is sending a query to the server to calculate a summary statistic (e.g. count, min, max, etc) for each category/group. The query result contains the summary values (not the features and their geometries) and each bar on a serial chart (or slice on a pie chart) shows the category/value pair. For chart rendering, this server-side approach allows ArcGIS Dashboards to leverage much larger datasets than was possible with the (now retired) Windows version of Operations Dashboard, but it has drawbacks. Namely, we don't have any geometries to zoom, pan, or highlight. Because each bar or slice on a Grouped Values chart could represent a very large number of features, there are performance considerations of trying to pull them to the client (i.e. the dashboard), and we will have to investigate different techniques for achieving the requested functionality.
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11-26-2020
07:56 AM
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@Amanda__Huber Dashboards are consumers of popups and authoring/modifying them isn't in our current product plans. When it comes to tables, setting a popup can be done in the Map Viewer. Dashboards will respect any popup info we find for both layers and tables. Unfortunately, setting popup info for tables has not been exposed on their item details page. If you want/need to use a standalone table in your dashboard (i.e. one that has not been added to a map), a workaround might be to use the AGO Assistant to manually add the popup info to the table item's behind-the-scenes JSON. (Note: If you choose to try this workaround, we suggest saving a backup copy of your table item first as editing JSON can be error prone).
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11-26-2020
07:24 AM
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11-26-2020
06:40 AM
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Many dashboard element config options include a setting for Maximum Categories. Used in combination with one or more Sort By fields, a Top (N) result can be simulated. Unfortunately (as one post in this thread has requested), this setting is not exposed for pie charts who get their categories from Grouped Values. Serial chart:
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11-25-2020
02:12 PM
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@JulioGaspar1 Is this request for security reasons (i.e. the logged in user is not supposed to see all rows), or simply a way to de-clutter the dashboard (i.e. there is a lot of information that the logged in user is not interested in).
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11-25-2020
01:50 PM
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11-25-2020
01:41 PM
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@MollySnyder Did you intend to include an attachment with your post?
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11-25-2020
01:40 PM
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917
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In ArcGIS Dashboards Beta, Arcade expressions set in a map layer's popup should be respected by a dashboard's Map and Details elements. Also in ArcGIS Dashboards Beta, we have exposed Arcade expressions on lists and indicators for things like value conversions, string manipulation, conditional formatting, etc. (see. blog post). In future releases, we are looking to expand our Arcade capabilities even more.
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11-25-2020
01:23 PM
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11-25-2020
01:18 PM
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11-25-2020
01:17 PM
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7835
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@KatyHaddock The details element simply leverages a layer's configured popup. Authoring a popup is typically done in the Map Viewer, and duplicating that experience in Dashboards is not in our product plans at this time. Should this idea gain more traction in the community, we'd be happy to re-open it.
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11-25-2020
01:01 PM
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641
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The gauge element has the ability to show its value as a percentage. A workaround for you to try would involve the use of an integer field that has a coded value domain to simulate boolean values. The coded values could be 0=YES, 1=NO (in my example below, my data has 0=TRUE, 1=FALSE). Each feature/row in your data would have this value captured. When configuring the gauge, you'd point to your data and then set a filter to identify a subset (e.g. YES or TRUE). You'd also set the gauge to get it's maximum value by counting the rows in the same dataset. See below for an example. Note: Not shown is that the Gauge tab has an 'As Percentage' toggle you need to enable.
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11-25-2020
12:56 PM
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| Title | Kudos | Posted |
|---|---|---|
| 1 | 09-02-2020 06:38 AM | |
| 1 | 07-06-2022 07:43 AM | |
| 1 | 05-16-2018 06:21 AM |