Create panels with editors | Kibana Guide

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Create panels with editorsedit

Kibana provides several editors that you can use to create panels of your data. Each editor supports different features and Elasticsearch aggregations. To choose the best editor for your data, review the following information.

Supported panel typesedit

Panel type	Lens	TSVB	Aggregation-based	Vega	Timelion
Table	✓	✓	✓
Bar, line, and area	✓	✓	✓	✓	✓
Split chart and small multiples		✓	✓	✓
Pie and donut	✓		✓	✓
Sunburst	✓		✓	✓
Treemap	✓			✓
Heatmap	✓		✓	✓
Gauge and Goal	✓	✓	✓	✓
Markdown		✓
Metric	✓	✓	✓	✓
Tag cloud	✓		✓	✓

Bar, line, and area chart featuresedit

Feature	Lens	TSVB	Aggregation-based	Vega	Timelion
Dense time series	Customizable	✓	Customizable	✓	✓
Percentage mode	✓	✓	✓	✓
Break downs	1	1	3	∞	1
Custom color with break downs		Only for Filters	✓	✓
Fit missing values	✓		✓	✓	✓
Synchronized tooltips	✓	✓

Advanced featuresedit

Feature	Lens	TSVB	Vega	Timelion
Math	✓	✓	✓	✓
Math across indices			✓	✓
Visualize two indices	✓	✓	✓	✓
Time shift	✓	✓	✓	✓
Custom Elasticsearch queries			✓
Normalize by time	✓	✓
Automatically generated suggestions	✓
Annotations	✓	✓

Table featuresedit

Feature	Lens	TSVB	Aggregation-based
Summary row	✓		✓
Pivot table	✓
Calculated column	Formula	✓	Percent only
Color by value	✓	✓

Functionsedit

Function	Lens	TSVB
Counter rate	✓	✓
Filter ratio	Use formula	✓
Positive only		✓
Series agg	Use formula	✓
Static value	✓	✓

Metrics aggregationsedit

Metric aggregations are calculated from the values in the aggregated documents. The values are extracted from the document fields.

Aggregation	Lens	TSVB	Aggregation-based	Vega
Metrics with filters	✓			✓
Average, Sum, Max, Min	✓	✓	✓	✓
Unique count (Cardinality)	✓	✓	✓	✓
Percentiles and Median	✓	✓	✓	✓
Percentiles Rank	✓	✓	✓	✓
Standard deviation		✓	✓	✓
Sum of squares		✓		✓
Top hit (Last value)	✓	✓	✓	✓
Value count	✓		✓	✓
Variance	✓	✓		✓

For information about Elasticsearch metrics aggregations, refer to Metrics aggregations.

Bucket aggregationsedit

Bucket aggregations group, or bucket, documents based on the aggregation type. To define the document buckets, bucket aggregations compute and return the number of documents for each bucket.

Aggregation	Lens	TSVB	Aggregation-based	Vega
Histogram	✓		✓	✓
Date histogram	✓	✓	✓	✓
Date range	Use filters	✓	✓	✓
Filter		✓		✓
Filters	✓	✓	✓	✓
GeoHash grid			✓	✓
IP range	Use filters	Use filters	✓	✓
Range	✓	Use filters	✓	✓
Terms	✓	✓	✓	✓
Significant terms	✓		✓	✓

For information about Elasticsearch bucket aggregations, refer to Bucket aggregations.

Pipeline aggregationsedit

Pipeline aggregations are dependent on the outputs calculated from other aggregations. Parent pipeline aggregations are provided with the output of the parent aggregation, and compute new buckets or aggregations that are added to existing buckets. Sibling pipeline aggregations are provided with the output of a sibling aggregation, and compute new aggregations for the same level as the sibling aggregation.

Aggregation	Lens	TSVB	Aggregation-based	Vega
Avg bucket	`overall_average` formula	✓	✓	✓
Derivative	✓	✓	✓	✓
Max bucket	`overall_max` formula	✓	✓	✓
Min bucket	`overall_min` formula	✓	✓	✓
Sum bucket	`overall_sum` formula	✓	✓	✓
Moving average	✓	✓	✓	✓
Cumulative sum	✓	✓	✓	✓
Bucket script		✓	✓	✓
Bucket selector				✓
Serial differencing		✓	✓	✓

For information about Elasticsearch pipeline aggregations, refer to Pipeline aggregations.

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