kibana/docs/getting-started/tutorial-sample-data.asciidoc

[id="tutorial-sample-data",canonical-url="https://www.elastic.co/guide/en/kibana/current/get-started.html"]
== Explore {kib} using sample data

Ready to get some hands-on experience with Kibana?
In this tutorial, you’ll work 
with Kibana sample data and learn to:

* <<tutorial-sample-filter, Filter and query data in visualizations>>
* <<tutorial-sample-discover, Discover and explore your documents>>
* <<tutorial-sample-edit, Edit a visualization>>
* <<tutorial-sample-inspect, Inspect the data behind a visualization>>


NOTE: If security is enabled, you must have `read`, `write`, and `manage` privileges
on the `kibana_sample_data_*` indices. See
{ref}/security-privileges.html[Security privileges] for more information.


[float]
=== Add sample data

Install the Flights sample data set, if you haven't already.

. On the home page, click *Load a data set and a {kib} dashboard*. 
. On the *Sample flight data* card, click *Add data*.
. Once the data is added, click *View data > Dashboard*.
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You’re taken to the *Global Flight* dashboard, a collection of charts, graphs, 
maps, and other visualizations of the the data in the `kibana_sample_data_flights` index.
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[role="screenshot"]
image::getting-started/images/tutorial-sample-dashboard.png[]

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[[tutorial-sample-filter]]
=== Filter and query the data

You can use filters and queries to
narrow the view of the data. 
For more detailed information on these actions, see 
{ref}/query-filter-context.html[Query and filter context].

[float]
==== Filter the data

. In the *Controls* visualization, select an *Origin City* and a *Destination City*.
. Click *Apply changes*.
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The `OriginCityName` and the `DestCityName` fields filter the data on the dasbhoard to match 
the data you specified. 
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For example, the following dashboard shows the data for flights from London to Milan. 
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[role="screenshot"]
image::getting-started/images/tutorial-sample-filter.png[]

. To add a filter manually, click *Add filter*,
then specify the data you want to view.

. When you are finished experimenting, remove all filters.


[float]
[[tutorial-sample-query]]
==== Query the data

. To find all flights out of Rome, enter this query in the query bar and click *Update*:
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[source,text]
OriginCityName:Rome   

. For a more complex query with AND and OR, try this:
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[source,text]
OriginCityName:Rome AND (Carrier:JetBeats OR "Kibana Airlines")
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The dashboard updates to show data for the flights out of Rome on JetBeats and 
{kib} Airlines.  
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[role="screenshot"]
image::getting-started/images/tutorial-sample-query.png[]

. When you are finished exploring the dashboard, remove the query by 
clearing the contents in the query bar and clicking *Update*.

[float]
[[tutorial-sample-discover]]
=== Discover the data

In Discover, you have access to every document in every index that 
matches the selected index pattern. The index pattern tells {kib} which {es} index you are currently
exploring. You can submit search queries, filter the 
search results, and view document data.

. From the menu, click *Discover*.

. Ensure `kibana_sample_data_flights` is the current index pattern. 
You might need to click *New* in the menu bar to refresh the data.
+
You'll see a histogram that shows the distribution of 
documents over time. A table lists the fields for 
each matching document. By default, all fields are shown.
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[role="screenshot"]
image::getting-started/images/tutorial-sample-discover1.png[]

. To choose which fields to display, 
hover the pointer over the list of *Available fields*, and then click *add* next 
to each field you want include as a column in the table.
+
For example, if you add the `DestAirportID` and `DestWeather` fields, 
the display includes columns for those two fields.
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[role="screenshot"]
image::getting-started/images/tutorial-sample-discover2.png[]

[float]
[[tutorial-sample-edit]]
=== Edit a visualization

You have edit permissions for the *Global Flight* dashboard, so you can change 
the appearance and behavior of the visualizations. For example, you might want 
to see which airline has the lowest average fares.

. In the side navigation, click *Recently viewed* and open the *Global Flight Dashboard*. 
. In the menu bar, click *Edit*.
. In the *Average Ticket Price* visualization, click the gear icon in 
the upper right.
. From the *Options* menu, select *Edit visualization*.
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*Average Ticket Price* is a metric visualization.
To specify which groups to display 
in this visualization, you use an {es} {ref}/search-aggregations.html[bucket aggregation]. 
This aggregation sorts the documents that match your search criteria into different 
categories, or buckets.

[float]
==== Create a bucket aggregation

. In the *Buckets* pane, select *Add > Split group*.
. In the *Aggregation* dropdown, select *Terms*.
. In the *Field* dropdown, select *Carrier*.
. Set *Descending* to *4*.
. Click *Apply changes* image:images/apply-changes-button.png[].
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You now see the average ticket price for all four airlines.
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[role="screenshot"]
image::getting-started/images/tutorial-sample-edit1.png[]

[float]
==== Save the visualization

. In the menu bar, click *Save*.
. Leave the visualization name as is and confirm the save.
. Go to the *Global Flight* dashboard and scroll the *Average Ticket Price* visualization to see the four prices.
. Optionally, edit the dashboard. Resize the panel 
for the *Average Ticket Price* visualization by dragging the
handle in the lower right. You can also rearrange the visualizations by clicking 
the header and dragging. Be sure to save the dashboard.
+
[role="screenshot"]
image::getting-started/images/tutorial-sample-edit2.png[]

[float]
[[tutorial-sample-inspect]]
=== Inspect the data

Seeing visualizations of your data is great, 
but sometimes you need to look at the actual data to
understand what's really going on. You can inspect the data behind any visualization
and view the {es} query used to retrieve it.

. In the dashboard, hover the pointer over the pie chart, and then click the icon in the upper right. 
. From the *Options* menu, select *Inspect*.
+
The initial view shows the document count. 
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[role="screenshot"]
image::getting-started/images/tutorial-sample-inspect1.png[]

. To look at the query used to fetch the data for the visualization, select *View > Requests*
in the upper right of the Inspect pane.

[float]
[[tutorial-sample-remove]]
=== Remove the sample data set
When you’re done experimenting with the sample data set, you can remove it. 

. Go to the *Sample data* page. 
. On the *Sample flight data* card, click *Remove*.

[float]
=== Next steps

Now that you have a handle on the {kib} basics, you might be interested in the 
tutorial <<tutorial-build-dashboard, Build your own dashboard>>, where you'll learn to:

* Load data
* Define an index pattern
* Discover and explore data
* Create visualizations
* Add visualizations to a dashboard