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dashboards (new) metadata (#305)
* AWS Cost explorer * Word list, glossary, URL fixes, missing descriptions * dashboards metadata
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docs/dashboards-new/create-a-dashboard-new.md

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id: create-a-dashboard-new
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title: Create a Dashboard (New)
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description: Learn how to create your own custom Dashboard (New) with a panel and query, then customize a chart and add the chart to the dashboard.
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This page demonstrates how to create a Dashboard (New), add a query, and then add the chart to the dashboard. You create your Dashboard (New) by selecting template options from menus and drop-downs.

docs/dashboards-new/drill-down-to-discover-root-causes.md

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title: Drill Down to Discover Root Causes
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description: Learn how to drill into related content to discover the root cause of a spike of interest on a dashboard.
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When you see a spike of interest on a dashboard that requires further investigation, you can easily drill into the related content to discover the root cause. This page shows you how you can easily discover related dashboards and corresponding logs searches that pertain to an issue in your environment.

docs/dashboards-new/explore-view.md

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id: explore-view
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title: Navigating Sumo Logic Dashboards with Explore
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sidebar_label: Explore View
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description: Explore gives you an easy way to view and navigate the hierarchy of your environment.
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import Iframe from 'react-iframe';

docs/dashboards-new/export-dashboard-new.md

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id: export-dashboard-new
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title: Exporting Sumo Logic Dashboards (New)
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sidebar_label: Export Dashboard (New)
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description: Learn how to export your Dashboard (New) as a PDF or PNG file.
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Dashboards provide insights for monitoring key performance indicators (KPIs) across your organization. There may be times when key stakeholders require access to a static snapshot of dashboard KPIs without having to log in to Sumo Logic. In these instances, you can export a snapshot of a dashboard to share. This capability allows you to extend monitoring analytics to a broader base both within and outside your organization.

docs/dashboards-new/faq.md

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id: faq
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title: Dashboard (New) FAQ
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sidebar_label: FAQ
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description: Find answers to frequently asked questions about our new Dashboards.
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## How do I convert a Classic Dashboard to the new dashboard framework?

docs/dashboards-new/filter-with-template-variables.md

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id: filter-template-variables
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title: Filtering Dashboards (New) with Template Variables
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sidebar_label: Filtering with Template Variables
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description: Learn how to use template variables to dynamically filter dashboard data.
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Template variables are a feature of Dashboard (New) that allow you to analyze specific data on demand. They give you the ability to filter the data displayed on your dashboard so you can quickly troubleshoot a problem. Queries can be changed on the fly by choosing values for variables from drop-down lists without having to manually edit queries.

docs/dashboards-new/link-dashboards.md

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id: link-dashboards
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title: Linking Dashboards (New)
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description: Easily link dashboards together to quickly view related data.
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## Link Multiple Dashboards Together

docs/dashboards-new/locate-deviations.md

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id: locate-deviations-time-series
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title: Locate Deviations in a Time Series
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description: Learn how to create charts that locate deviations in a time series and the graph outliers.
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An **outlier** is a data point that is outside the range of expected values. This page shows you how to locate deviations beyond thresholds in a time series. 

docs/dashboards-new/panels.md

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id: panels
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title: Dashboard (New) Panels
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sidebar_label: Panels
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description: Learn about the different panel types available in Dashboard (New) and the types of data best suited for each.
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import Tabs from '@theme/Tabs';

docs/dashboards-new/panels/area-charts.md

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description: An area chart is used to visually represent quantity over a period of time.
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title: Area Charts
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description: An area chart is used to visually represent quantity over a period of time.
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# Area Charts
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An area chart is used to visually represent quantity over a period of time. The quantity is laid out on the vertical axis, and the horizontal axis shows the time period being charted. What distinguishes an area chart from a line chart is the use of shaded regions below the line which better indicates the increase or decrease of volume.
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To add a panel with an area chart:
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1. Create or open a Dashboard (New) and click on **Add Panel \> Time Series** or **Add Panel \> Categorical**.
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![time series or categorical.png](/img/dashboards-new/panels/area-charts/time-series-or-categorical.png)
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1. Provide a Metric or Log query and press **Enter** for it to run.
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1. Once the query runs you will need to flip the chart type to **Area**.
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![Dashboard New Area Chart.png](/img/dashboards-new/panels/area-charts/Dashboard-New-Area-Chart.png)
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1. [Modify the chart](./modify-chart.md) as desired.
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1. Click the **Add to Dashboard** button on the top right of the window to add the panel to your dashboard.
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