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Creating Metric Visualizations with the Time Series Visual Builder (TSVB) in Kibana 7.6

The TSVB is a powerful tool when creating visualizations from time series data. By using the TSVB to create metric visualizations, we can leverage the customizability of the interface to visually communicate our data in a highly readable way. In this hands-on lab, we will use the TSVB to create metric visualizations in Kibana.

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Path Info

Level
Clock icon Intermediate
Duration
Clock icon 1h 0m
Last updated
Clock icon Aug 31, 2025

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Table of Contents

  1. Challenge

    Create and Save the Products Visualization

    1. Create a new metric visualization with the TSVB.
    2. Calculate the cardinality of products.manufacturer.keyword and label it as Manufacturers.
    3. Calculate the cardinality of products.product_name.keyword and label it as Products.
    4. Configure the visualization to show the latest value with daily intervals and do not drop the last bucket.
    5. Save the visualization as "Products".

  2. Challenge

    Create and Save the Items Sold Visualization

    1. Create a new metric visualization with the TSVB.
    2. Calculate the count of events and label it as Orders.
    3. Calculate the sum of products.quantity and label it as Items Sold.
    4. Configure the visualization to show the latest value with daily intervals and do not drop the last bucket.
    5. Save the visualization as "Items Sold".

  3. Challenge

    Create and Save the Sales Visualization

    1. Create a new metric visualization with the TSVB.
    2. Calculate the sum of products.price and label it as Sales.
    3. Configure Sales to display as a dollar amount with 2 decimal places (example: 1,234.567 as $1,234.56).
    4. Configure the visualization to show the latest value with daily intervals and do not drop the last bucket.
    5. Calculate the sum of products.price and label it as Year to Date.
    6. Configure Year to Date to display as a dollar amount with 2 decimal places (example: 1,234.567 as $1,234.56).
    7. Configure Year to Date to show the latest value with yearly intervals and do not drop the last bucket.
    8. Save the visualization as "Sales".
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