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minor doc improvements
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RLKRo committed Oct 5, 2023
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This bar chart aggregates node labels over dialog turns. Not only does this
show the average estimated dialog length, but it also allows you to observe
whether or not the path that users take on average deviates from the happy
show the average dialog length, but it also allows you to observe
whether the path that users take on average deviates from the happy
path that you plan for the users.
You can use the Dialog turn and User ID filters on the left
to only consider the requests produced by a particular user
or requests sent on a specific dialog turn.
<br />
'
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code: '## Transitions distribution
The chart below shows, how frequently each of the graph edges was traversed
The chart below shows how frequently each of the graph edges is traversed
by various users.
Based on this information, you can determine which transitions inside the
dialog graph function as intended.
You can use the Dialog turn filter on the left
to only select a slice of transitions that only target a specific node.
You can use the `Node` filter on the left
to select a slice of transitions that target a specific node.
<br/>'
height: 24
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4 changes: 2 additions & 2 deletions docs/source/user_guides/superset_guide.rst
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Expand Up @@ -129,7 +129,7 @@ an easy and intuitive way to create your own charts and to customize the dashboa

If you aim to create your own chart, Superset will prompt you to select a dataset to draw data from.
The current configuration provides two datasets `dff-node-stats` and `dff-final-nodes`.
However, in most cases, you will need to use `dff-node-stats`, since `dff-final-nodes` contains the same information, but only
However, in most cases, you would use `dff-node-stats` since `dff-final-nodes` contains the same information, but only
aggregates the labels of nodes visited at the end of dialog graph traversal,
i.e. nodes that terminate the dialog.

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**Importing existing configuration files**

If you need to restore your dashboard or update the configuration, you can import a configuration archive
that has been saved in the manner described above.
that has been saved in the manner described below.

Log in to Superset, open the `Dashboards` tab and press the import button on the right of the screen.
You will be prompted for the database password. If the database credentials match,
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3 changes: 2 additions & 1 deletion tutorials/stats/1_extractor_functions.py
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Statistics are collected from pipeline services by extractor functions
that report the state of one or more pipeline components. The `stats` module
provides several default extractors, but users are free to define their own
extractor functions.
extractor functions. You can find API reference for default extractors
[here](%doclink(api,stats.default_extractors)).
It is a preferred practice to define extractors as asynchronous functions.
Extractors need to have the following uniform signature:
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