[[get-started]]
== Quick start

To quickly get up and running with {kib}, set up on Cloud, then add a sample data set that you can explore and analyze.

When you've finished, you'll know how to:

* <<explore-the-data,Explore the data with *Discover*.>>

* <<view-and-analyze-the-data,Analyze the data with *Dashboard*.>>

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=== Required privileges
When security is enabled, you must have `read`, `write`, and `manage` privileges on the `kibana_sample_data_*` indices. 
Learn how to <<tutorial-secure-access-to-kibana, secure access to {kib}>>, or refer to {ref}/security-privileges.html[Security privileges] for more information.

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[[set-up-on-cloud]]
== Set up on cloud

include::{docs-root}/shared/cloud/ess-getting-started.asciidoc[]

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[[gs-get-data-into-kibana]]
== Add the sample data

Sample data sets come with sample visualizations, dashboards, and more to help you explore {kib} before you ingest or add your own data.

. On the home page, click *Try our sample data*.

. On the *Sample eCommerce orders* card, click *Add data*.
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[role="screenshot"]
image::images/addData_sampleDataCards_7.15.0.png[Add data UI for the sample data sets]

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[[explore-the-data]]
== Explore the data

*Discover* displays the data in an interactive histogram that shows the distribution of data, or documents, over time, and a table that lists the fields for each document that matches the index pattern. To view a subset of the documents, you can apply filters to the data, and customize the table to display only the fields you want to explore.

. Open the main menu, then click *Discover*.

. Change the <<set-time-filter, time filter>> to *Last 7 days*.
+
[role="screenshot"]
image::images/tutorial-discover-2.png[Time filter menu with Last 7 days filter configured]

. To view the sales orders for women's clothing that are $60 or more, use the <<kuery-query,*KQL*>> search field:
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[source,text]
products.taxless_price >= 60 and category : Women's Clothing
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[role="screenshot"]
image::images/tutorial-discover-4.png[Discover tables that displays only the orders for women's clothing that are $60 or more]

. To view only the product categories that contain sales orders, hover over the *category* field, then click *+*.
+
[role="screenshot"]
image::images/tutorial-discover-3.png[Discover table that displays only the product categories that contain orders]

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[[view-and-analyze-the-data]]
== View and analyze the data

A dashboard is a collection of panels that you can use to view and analyze the data. Panels contain visualizations, interactive controls, text, and more.

. Open the main menu, then click *Dashboard*. 

. Click *[eCommerce] Revenue Dashboard*.
+
[role="screenshot"]
image::images/dashboard_ecommerceRevenueDashboard_7.15.0.png[The [eCommerce] Revenue Dashboard that comes with the Sample eCommerce order data set]

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[[create-a-visualization]]
=== Create a visualization panel

Create a treemap panel that shows the top sales regions and manufacturers, then add the panel to the dashboard.

. In the toolbar, click *Edit*.

. On the dashboard, click *Create visualization*.

. In the drag-and-drop visualization editor, open the *Visualization type* dropdown, then select *Treemap*.
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[role="screenshot"]
image::getting-started/images/tutorial-visualization-dropdown.png[Chart type menu with Treemap selected]

. From the *Available fields* list, drag the following fields to the workspace:

* *geoip.city_name*

* *manufacturer.keyword*
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[role="screenshot"]
image::getting-started/images/tutorial-visualization-treemap.png[Treemap that displays Top values of geoip.city_name and Top values or manufacturer.keyword fields]

. Click *Save and return*.
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The treemap appears as the last visualization panel on the dashboard.

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[[interact-with-the-data]]
=== Interact with the data

You can interact with the dashboard data using controls that allow you to apply dashboard-level filters. Interact with the *[eCommerce] Controls* panel to view the women's clothing data from the Gnomehouse manufacturer. 

. From the *Manufacturer* dropdown, select *Gnomehouse*.

. From the *Category* dropdown, select *Women's Clothing*.

. Click *Apply changes*.
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[role="screenshot"]
image::images/dashboard_sampleDataFilter_7.15.0.png[The [eCommerce] Revenue Dashboard that shows only the women's clothing data from the Gnomehouse manufacturer]

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

To view a subset of the data, you can apply filters to the dashboard panels. Apply a filter to view the women's clothing data generated on Wednesday from the Gnomehouse manufacturer.

. Click *Add filter*.

. From the *Field* dropdown, select *day_of_week*.

. From the *Operator* dropdown, select *is*.

. From the *Value* dropdown, select *Wednesday*.

. Click *Save*.
+
[role="screenshot"]
image::images/dashboard_sampleDataAddFilter_7.15.0.png[The [eCommerce] Revenue Dashboard that shows only the women's clothing data generated on Wednesday from the Gnomehouse manufacturer]

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[[quick-start-whats-next]]
== What's next?

*Add your own data.* Ready to add your own data? Go to {fleet-guide}/fleet-quick-start.html[Quick start: Get logs and metrics into the Elastic Stack] to learn how to ingest your data, or go to <<connect-to-elasticsearch,Add data to {kib}>> and learn about all the other ways you can add data.

*Explore your own data in Discover.* Ready to learn more about exploring your data in *Discover*? Go to <<discover, Discover>>.

*Create a dashboard with your own data.* Ready to learn more about analyzing your data in *Dashboard*? Go to <<dashboard, Dashboard>>.

*Try out the {ml-features}.* Ready to analyze the sample data sets and generate models for its patterns of behavior? Go to {ml-docs}/ml-getting-started.html[Getting started with {ml}].