Kibana Visualization Table from Array: A Step-by-Step Guide

Are you tired of struggling to create a visualization table from an array in Kibana? Look no further! In this comprehensive guide, we’ll take you through the process of creating a stunning visualization table from an array in Kibana, step by step.

Why Use Kibana Visualization Table from Array?

Kibana’s visualization table is an incredibly powerful tool for data analysis and visualization. By using an array to feed your table, you can create customized and dynamic visualizations that help you uncover hidden patterns and insights in your data. But, we know what you’re thinking: “How do I even get started?” Fear not, dear reader, for we’re about to take the mystery out of creating a Kibana visualization table from an array.

Prerequisites

Before we dive in, make sure you have the following:

• Kibana installed and running on your machine
• A dataset with an array field (we’ll use an example dataset below)
• A basic understanding of Kibana and Elasticsearch

Step 1: Prepare Your Data

In this example, we’ll use a sample dataset containing information about different departments in a company. Our dataset has the following fields:

{
  "departments": [
    {
      "id": 1,
      "name": "Marketing",
      "employees": 20
    },
    {
      "id": 2,
      "name": "Sales",
      "employees": 30
    },
    {
      "id": 3,
      "name": "IT",
      "employees": 15
    }
  ]
}

In this dataset, the “departments” field is an array containing objects with “id”, “name”, and “employees” fields. We’ll use this array to create our visualization table.

Step 2: Create a New Index Pattern in Kibana

In Kibana, navigate to the Management tab and click on “Index Patterns”. Then, click the “Create Index Pattern” button:

In the “Create Index Pattern” page, enter a name for your index pattern (e.g., “departments”) and select the Elasticsearch index that contains your dataset. Click “Create Index Pattern” to create the index pattern.

Step 3: Create a New Visualization in Kibana

Navigate to the Visualize tab and click the “Create Visualization” button:

In the “Create Visualization” page, select “Table” as the visualization type. Click “Create Visualization” to create the visualization.

Step 4: Configure the Table Visualization

In the “Table” visualization page, click the “Add a layer” button:

In the “Add a layer” page, select “Documents” as the data source. Then, select the “departments” index pattern we created earlier. Click “Add layer” to add the layer.

Configuring the Array Aggregation

In the “Documents” layer, click the “Advanced” dropdown menu and select “Array” as the aggregation type:

In the “Array” aggregation page, select the “departments” field as the array field. Then, select the “Object” aggregation type. Click “Apply” to apply the aggregation.

Configuring the Columns

In the “Columns” tab, add three columns for the “id”, “name”, and “employees” fields:

For each column, select the corresponding field from the array aggregation. Click “Apply” to apply the changes.

Step 5: Customize and Refine Your Visualization

Now that we have our basic table visualization set up, let’s customize and refine it. We can add more columns, change the column order, and apply filters and aggregations to our data.

Adding More Columns

To add more columns, simply click the “Add column” button and select the field you want to add. For example, let’s add a column for the total employees in each department:

We can use the “Sum” aggregation to calculate the total employees for each department. Click “Apply” to apply the changes.

Applying Filters and Aggregations

We can apply filters and aggregations to our data to get more insights. For example, let’s apply a filter to show only departments with more than 20 employees:

We can also apply an aggregation to group our data by department and calculate the average employees per department:

Conclusion

And that’s it! We’ve successfully created a stunning visualization table from an array in Kibana. With these steps, you can create your own customized visualization tables to uncover hidden patterns and insights in your data.

Remember, the key to creating a great visualization table is to understand your data and tailor your visualization to tell a story. Experiment with different aggregations, filters, and columns to get the most out of your data.

Happy visualizing!

Field	Description
departments	Array field containing department information
id	Unique identifier for each department
name	Name of each department
employees	Number of employees in each department

curl -XGET 'http://localhost:9200/departments/_search?pretty'

1. Create a new index pattern in Kibana
2. Create a new visualization table in Kibana
3. Configure the table visualization
4. Customize and refine your visualization

By following these steps, you can create a beautiful and informative visualization table from an array in Kibana. Happy visualizing!

Frequently Asked Question

Kibana visualization tables from arrays can be a bit tricky, but don’t worry, we’ve got you covered!