Docs: Add Grafana basics section (#32693)
* moved files * single sourcing * Update _index.md * Update heatmap.md * Update _index.md * Update _index.md * Fixed 7 broken relrefs * Fixed one more broken relref. Co-authored-by: achatterjee-grafana <aparajita.chatterjee@grafana.com>
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@@ -23,4 +23,4 @@ You can drag and drop panels by clicking and holding the panel title, then dragg
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- Click series name in the legend to hide series.
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- Ctrl/Shift/Meta + click legend name to hide other series.
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- Hover your cursor over a panel and press `e` to open the panel editor.
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- Hover your cursor over a panel and press `v` to open the panel in fullscreen view.
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- Hover your cursor over a panel and press `v` to open the panel in full screen view.
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@@ -21,7 +21,7 @@ Expressions are meant to augment data sources by enabling queries from different
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> **Note:** When possible, you should do data processing inside the data source. Copying data from storage to the Grafana server for processing is inefficient, so expressions are targeted at lightweight data processing.
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Expressions work with data source queries that return time series or number data. They also operate on [multiple-dimensional data]({{< relref "../getting-started/timeseries-dimensions.md" >}}). For example, a query that returns multiple series, where each series is identified by labels or tags.
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Expressions work with data source queries that return time series or number data. They also operate on [multiple-dimensional data]({{< relref "../basics/timeseries-dimensions.md" >}}). For example, a query that returns multiple series, where each series is identified by labels or tags.
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An individual expression takes one or more queries or other expressions as input and adds data to the result. Each individual expression or query is represented by a variable that is a named identifier known as its RefID (e.g., the default letter `A` or `B`).
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@@ -34,7 +34,7 @@ Expressions work with two types of data.
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- A collections of time series.
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- A collection of numbers, where each collection could be a single series or single number.
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Each collection is returned from a single data source query or expression and represented by the RefID. Each collection is a set, where each item in the set is uniquely identified by it dimensions which are stored as [labels]({{< relref "../getting-started/timeseries-dimensions.md#labels" >}}) or key-value pairs.
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Each collection is returned from a single data source query or expression and represented by the RefID. Each collection is a set, where each item in the set is uniquely identified by it dimensions which are stored as [labels]({{< relref "../basics/timeseries-dimensions.md#labels" >}}) or key-value pairs.
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## Data source queries
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@@ -120,7 +120,7 @@ Options are identical for both Y-axes.
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- **Value -** The aggregation type to use for the values. The default is total (summing the values together).
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- **Histogram -** Converts the graph into a histogram. A histogram is a kind of bar chart that groups numbers into ranges, often called buckets or bins. Taller bars show that more data falls in that range.
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For more information about histograms, refer to [Introduction to histograms and heatmaps]({{< relref "../../getting-started/intro-histograms.md" >}}).
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For more information about histograms, refer to [Introduction to histograms and heatmaps]({{< relref "../../basics/intro-histograms.md" >}}).
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- **Buckets -** The number of buckets to group the values by. If left empty, then Grafana tries to calculate a suitable number of buckets.
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- **X-Min -** Filters out values from the histogram that are under this minimum limit.
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- **X-Max -** Filters out values that are greater than this maximum limit.
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@@ -8,7 +8,7 @@ weight = 600
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# Heatmap panel
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The Heatmap panel visualization allows you to view histograms over time. For more information about histograms, refer to [Introduction to histograms and heatmaps]({{< relref "../../getting-started/intro-histograms.md" >}}).
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The Heatmap panel visualization allows you to view histograms over time. For more information about histograms, refer to [Introduction to histograms and heatmaps]({{< relref "../../basics/intro-histograms.md" >}}).
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