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explore-analyze/dashboards/create-dashboard-of-panels-with-ecommerce-data.md

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:class: screenshot
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:::
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Before you begin, you should be familiar with the [*{{kib}} concepts*](../overview/kibana-quickstart.md).
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## Add the data and create the dashboard [add-the-data-and-create-the-dashboard-advanced]
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explore-analyze/dashboards/create-dashboard-of-panels-with-web-server-data.md

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:class: screenshot
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:::
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Before you begin, you should be familiar with the [*{{kib}} concepts*](../overview/kibana-quickstart.md).
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## Add the data and create the dashboard [add-the-data-and-create-the-dashboard]
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explore-analyze/dashboards/using.md

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* **Filter pills**, that you can add and combine by clicking on specific parts of the dashboard visualizations, or by defining conditions manually from the filter editor. The filter editor is a good alternative if you’re not comfortable with using KQL expressions in the main query bar.
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* View the data of a panel and the requests used to build it.
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This section shows the most common ways for you to filter dashboard data. For more information about {{kib}} and {{es}} filtering capabilities, refer to [{{kib}} concepts](../overview/kibana-quickstart.md).
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This section shows the most common ways for you to filter dashboard data. For more information about {{kib}} and {{es}} filtering capabilities, refer to [](/explore-analyze/query-filter.md).
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### Use filter pills [_use_filter_pills]

explore-analyze/discover/discover-get-started.md

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* If you don’t already have {{kib}}, [start a free trial](https://www.elastic.co/cloud/elasticsearch-service/signup?baymax=docs-body&elektra=docs) on Elastic Cloud.
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* You must have data in {{es}}. Examples on this page use the [ecommerce sample data set](../index.md#gs-get-data-into-kibana), but you can use your own data.
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* You should have an understanding of [{{es}} documents and indices](../../manage-data/data-store/index-basics.md) and [{{kib}} concepts](../overview/kibana-quickstart.md).
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* You should have an understanding of [{{es}} documents and indices](../../manage-data/data-store/index-basics.md).
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## Load data into Discover [find-the-data-you-want-to-use]

explore-analyze/report-and-share.md

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We recommend using PNG/PDF reports to export moderate amounts of data only. The feature enables a high-level export capability, but it’s not intended for bulk export. If you need to export several pages of image data, consider using multiple report jobs to export a small number of pages at a time. If the screenshot of exported dashboard contains a large number of pixels, consider splitting the large dashboard into smaller artifacts to use less memory and CPU resources.
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For the most reliable configuration of PDF/PNG {{report-features}}, consider installing {{kib}} using [Docker](/deploy-manage/deploy/self-managed/install-with-docker.md) or using [Elastic Cloud](/explore-analyze/overview/kibana-quickstart.md#set-up-on-cloud).
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For the most reliable configuration of PDF/PNG {{report-features}}, consider installing {{kib}} using [Docker](/deploy-manage/deploy/self-managed/install-with-docker.md) or using [Elastic Cloud](https://cloud.elastic.co).
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## Create JSON files [download-as-json]

explore-analyze/report-and-share/reporting-troubleshooting-pdf.md

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::::{note}
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We recommend using PNG/PDF reports to export moderate amounts of data only. The feature enables a high-level export capability, but it’s not intended for bulk export. If you need to export several pages of image data, consider using multiple report jobs to export a small number of pages at a time. If the screenshot of exported dashboard contains a large number of pixels, consider splitting the large dashboard into smaller artifacts to use less memory and CPU resources.
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For the most reliable configuration of PDF/PNG {{report-features}}, consider installing {{kib}} using [Docker](../../deploy-manage/deploy/self-managed/install-with-docker.md) or using [Elastic Cloud](../overview/kibana-quickstart.md#set-up-on-cloud).
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For the most reliable configuration of PDF/PNG {{report-features}}, consider installing {{kib}} using [Docker](../../deploy-manage/deploy/self-managed/install-with-docker.md) or using [Elastic Cloud](https://cloud.elastic.co).
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::::
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explore-analyze/visualize/lens.md

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Annotations support two placement types:
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* **Static date** — Displays annotations for specific times or time ranges.
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* **Custom query** — Displays annotations based on custom {{es}} queries. For detailed information about queries, check [Semi-structured search](../overview/kibana-quickstart.md#semi-structured-search).
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* **Custom query** — Displays annotations based on custom {{es}} queries. For detailed information about queries, check [Semi-structured search](/explore-analyze/query-filter/languages/kql.md#semi-structured-search).
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Any annotation layer can be saved as an annotation group to the **Visualize Library** in order to reuse it in other visualizations. Any changes made to the annotation group will be reflected in all visualizations to which it is added.
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1. Select **Custom query**.
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2. Enter the **Annotation query** for the data you want to display.
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For detailed information about queries and examples, check [Semi-structured search](../overview/kibana-quickstart.md#semi-structured-search).
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For detailed information about queries and examples, check [Semi-structured search](/explore-analyze/query-filter/languages/kql.md#semi-structured-search).
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3. Select the **Target date field**.
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### Apply filters [filter-the-data]
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You can use the [query bar](../overview/kibana-quickstart.md#semi-structured-search) to create queries that filter all the data in a visualization, or use the layer pane and legend filters to apply filters based on field values.
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You can use the query bar to create queries that filter all the data in a visualization, or use the layer pane and legend filters to apply filters based on field values.
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#### Apply multiple KQL filters [filter-with-the-function]

explore-analyze/visualize/maps/maps-getting-started.md

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## Prerequisites [_prerequisites_2]
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* If you don’t already have {{kib}}, set it up with [our free trial](https://www.elastic.co/cloud/elasticsearch-service/signup?baymax=docs-body&elektra=docs).
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* This tutorial requires the [web logs sample data set](../../overview/kibana-quickstart.md). The sample data includes a [Logs] Total Requests and Bytes map, which you’ll re-create in this tutorial.
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* This tutorial requires the [web logs sample data set](/explore-analyze/index.md#gs-get-data-into-kibana). The sample data includes a [Logs] Total Requests and Bytes map, which you’ll re-create in this tutorial.
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* You must have the correct privileges for creating a map. If you don’t have sufficient privileges to create or save maps, a read-only icon appears in the toolbar. For more information, refer to [Granting access to {{kib}}](../../../deploy-manage/users-roles/cluster-or-deployment-auth/built-in-roles.md).
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explore-analyze/visualize/maps/maps-search.md

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## Narrow layers by global search [maps-narrow-layer-by-global-search]
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Layers that request data from {{es}} are narrowed when you submit a [search](../../overview/kibana-quickstart.md#kibana-concepts-searching-your-data). Layers narrowed by semi-structured search and filters contain the filter icon ![filter icon](../../../images/kibana-filter_icon.png "") next to the layer name in the legend.
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Layers that request data from {{es}} are narrowed when you submit a search. Layers narrowed by semi-structured search and filters contain the filter icon ![filter icon](../../../images/kibana-filter_icon.png "") next to the layer name in the legend.
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To prevent the global search from applying to a layer, configure the following:
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explore-analyze/visualize/maps/reverse-geocoding-tutorial.md

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GeoIP is a common way of transforming an IP address to a longitude and latitude. GeoIP is roughly accurate on the city level globally and neighborhood level in selected countries. It’s not as good as an actual GPS location from your phone, but it’s much more precise than just a country, state, or province.
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You’ll use the [web logs sample data set](../../overview/kibana-quickstart.md) that comes with Kibana for this tutorial. Web logs sample data set has longitude and latitude. If your web log data does not contain longitude and latitude, use [GeoIP processor](https://www.elastic.co/guide/en/elasticsearch/reference/current/geoip-processor.html) to transform an IP address into a [geo_point](https://www.elastic.co/guide/en/elasticsearch/reference/current/geo-point.html) field.
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To install the web logs sample data set, refer to [Add sample data](../../index.md#gs-get-data-into-kibana).
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You’ll use the [web logs sample data set](../../index.md#gs-get-data-into-kibana) that comes with Kibana for this tutorial. Web logs sample data set has longitude and latitude. If your web log data does not contain longitude and latitude, use [GeoIP processor](https://www.elastic.co/guide/en/elasticsearch/reference/current/geoip-processor.html) to transform an IP address into a [geo_point](https://www.elastic.co/guide/en/elasticsearch/reference/current/geo-point.html) field.
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## Step 2: Index Combined Statistical Area (CSA) regions [_step_2_index_combined_statistical_area_csa_regions]

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