- Elasticsearch - Discussion
- Elasticsearch - Useful Resources
- Elasticsearch - Quick Guide
- Elasticsearch - Logs UI
- Elasticsearch - Canvas
- Elasticsearch - Heat Maps
- Elasticsearch - Tag Clouds
- Elasticsearch - Time Series
- Elasticsearch - Area and Bar Charts
- Elasticsearch - Pie Charts
- Elasticsearch - Region Maps
- Elasticsearch - Data Tables
- Elasticsearch - Filtering by Field
- Elasticsearch - Kibana Dashboard
- Elasticsearch - Testing
- Elasticsearch - Frozen Indices
- Elasticsearch - Rollup Data
- Elasticsearch - Monitoring
- Elasticsearch - SQL Access
- Elasticsearch - Managing Index Lifecycle
- Elasticsearch - Ingest Node
- Elasticsearch - Index Modules
- Elasticsearch - Modules
- Elasticsearch - Analysis
- Elasticsearch - Mapping
- Elasticsearch - Query DSL
- Elasticsearch - Cluster APIs
- Elasticsearch - CAT APIs
- Elasticsearch - Index APIs
- Elasticsearch - Aggregations
- Elasticsearch - Search APIs
- Elasticsearch - Document APIs
- Elasticsearch - API Conventions
- Migration between Versions
- Elasticsearch - Populate
- Elasticsearch - Installation
- Elasticsearch - Basic Concepts
- Elasticsearch - Home
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Elasticsearch - Data Tables
The data table is type of visuapzation that is used to display the raw data of a composed aggregation. There are various types of aggregations that are presented by using Data tables. In order to create a Data Table, we should go through the steps that are discussed here in detail.
Visuapze
In Kibana Home screen we find the option name Visuapze which allows us to create visuapzation and aggregations from the indices stored in Elasticsearch. The following image shows the option.
Select Data Table
Next, we select the Data Table option from among the various visuapzation options available. The option is shown in the following image &miuns;
Select Metrics
We then select the metrics needed for creating the data table visuapzation. This choice decides the type of aggregation we are going to use. We select the specific fields shown below from the ecommerce data set for this.
On running the above configuration for Data Table, we get the result as shown in the image here −
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