Performing analysis often generates a result dataset 
in the data pane. You can visualize data from your results as other maps, charts, and tables or use the dataset in analysis.
Result datasets appear in the data pane listed below the dataset that is used to perform the analysis, which will help you to keep track of your result datasets. If more than one result was created from the same dataset, the results will appear in reverse chronological order, meaning the most recent results will appear at the top of the list.
Note:
Not all operations create a result dataset. For example, enabling location on a dataset and calculating a field will update the original dataset rather than creating a new dataset. Only charts that perform attribute aggregation, such as bar charts and donut charts, will create a result dataset.
If you're unhappy with your results, you can rerun your spatial analytics using different parameters from the Analysis view 
or undo your action using the Undo button 
.
Note:
If an error occurs while performing analysis on the data, you can undo the analysis and revert to the original dataset. In some cases, such as field calculations, this means that any calculated fields done on that dataset view will be lost as the data is reverted to its original state.
Spatial results
A result dataset is created when you run most of the spatial analysis capabilities. The result datasets can be used in both spatial and nonspatial analysis, and can be used to create maps, charts, and tables.
Enrich Data and Find K-Means Clusters do not create result datasets. Instead, the result fields are appended to the input dataset. The appended data is available within the Insights workbook and the original dataset is not modified. You can share the dataset to create a feature layer and access the appended data in other workbooks.
Nonspatial results
A result dataset is created when you run Create Regression Model or Predict Variable, or create a chart that performs an aggregation or a calculation. Results from Create Regression Model, Predict Variable or Find K-Means Clusters can be used in spatial analysis or to create maps if the original dataset had a location field. All nonspatial result datasets can be used for nonspatial analysis and to create charts and tables.
Nonspatial analysis can be accessed from the Action button 
on a chart or table. If the chart created a result dataset, then both the result and the original dataset can be used as inputs for the analysis.
Temporal results
A result dataset is created when you run Temporal Decomposition or Forecast. These result datasets can be used to update the output charts or create new charts and tables.
Moving Average does not create result datasets. Instead, the result fields are appended to the input dataset. The appended data is available within the Insights workbook and the original dataset is not modified. You can share the dataset to create a feature layer and access the appended data in other workbooks.
Temporal analysis can be accessed from the Action button on a time series graph.
Card filter results
A result dataset is created when a card level filter is added to a map, chart, or table. The result dataset includes all the fields from the original dataset and a filter applied to it at the dataset level.
Note:
If new cards are created using the result dataset from a card filter, then all of the cards will reference the dataset filter on the result dataset and the card filter will be removed from the original card. Since the original card also references the result dataset, there will be no change to the data being displayed.
Troubleshoot result datasets
Insights follows the maximum record count parameter when creating maps, charts, and tables that require aggregation (for example, bar charts and summary tables) for the following types of datasets:
- Map image layers.
- Remote feature layers with supportsPaginationOnAggregatedQueries set to false in the REST endpoint.
The default maximum record count is 1,000. If the aggregation results in more than 1,000 features, a warning icon will appear in the data pane beside the result dataset with the following message: The maximum record count has been exceeded. Update the MaxRecordCount parameter or copy the source dataset to your workbook.
There are two ways to resolve this issue:
- Update the maxRecordCount parameter for the source dataset — If the source dataset is owned by a member of your ArcGIS organization, an administrator can update the maxRecordCount parameter in the REST endpoint. After the maxRecordCount is updated, you must refresh the page to update the datasets and remove the warning. For more information on updating the maxRecordCount parameter, see How To: Update the maximum record count for feature services in ArcGIS Online.
Note:
The maxRecordCount specifies how many records can be returned by the server to a client for any given query operation. Specifying a large number of records to be returned by the server can slow the performance of client applications consuming your web layer, such as web browsers, and your GIS server. Therefore, the maximum recommended maxRecordCount is 5,000.
- Copy the source dataset to your workbook — If you are not able to update the maxRecordCount, you can copy the dataset to your workbook then update your model to replace the source dataset with the copied dataset. The copied dataset does not use the maxRecordCount parameter, so the limits will not apply to any visualizations created with the copy.