Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 3 Next »

Overview

This chart consists of a series of upright rectangles whose area is proportional to the frequency of the variable. It looks similar to a bar graph but uses only one variable. The column widths are often equal but might vary reflecting the frequency density of the variable instead of the simple frequency.

What data do I need for this widget?

The option to create this chart will be enabled when your query contains at least one column that is not a JSON type.

Creating a histogram

Working with histograms

You can use the following options to visualize different aspects of your histogram:

  • Click and drag on the diagram to select a range and see the information of the rows contained in it.

    • Click the Apply filters to table button that appears at the bottom to create a filter in the table with the values contained within the range.

    • Click outside the range on the diagram to remove the selection.

  • If your data is updated in realtime, the realtime toggle will appear at the top left. Activate it to update the chart with the new incoming data or deactivate it to keep the latest available data up to that moment.

  • In case your query groups data, click by period to show the results of the latest available period.

    • Press the left and right directional keys to move back and forth in time through the different periods.

  • Click the drop-down and select an argument to weight all the histograms in the window. The bars will be colored according to the argument selected.

Click on the button at the top right of the diagram to export the content as a CSV file.

Query example

You can recreate the example shown in the picture above with the data from the following query and mapping the fields as follows:

Query

Required field

Column added

from demo.ecommerce.data

Value

bytesTransferred


In case you want another example with the data grouped and more than one argument to add, here is another query to create it:

Query

Required field

Column added

from demo.ecommerce.data
  group every 1m by bytesTransferred, timeTaken, statusCode
  every 1m

Values

bytesTransferred

Values

timeTaken

Values

statusCode

  • No labels