Editing charts

1. Editing a chart

Select the SAMPLE CHARTS dashboard and then click on the three dots ... on the Latency histogram chart, then on Open (or you can click on the name of the chart which here is Latency histogram).

Sample Charts Sample Charts

You will see the plot options, current plot and signal (metric) for the Latency histogram chart in the chart editor UI.

Latency Histogram Latency Histogram

In the Plot Editor tab under Signal you see the metric demo.trans.latency we are currently plotting.

Plot Editor Plot Editor

You will see a number of Line plots. The number 18 ts indicates that we are plotting 18 metric time series in the chart.

Click on the different chart type icons to explore each of the visualizations. Notice their name while you swipe over them. For example, click on the Heat Map icon:

Chart Types Chart Types

See how the chart changes to a heat map.

Change to Heatmap Change to Heatmap

Note

You can use different charts to visualize your metrics - you choose which chart type fits best for the visualization you want to have.

For more info on the different chart types see Choosing a chart type.

Click on the Line chart type and you will see the line plot.

Line Chart Line Chart

2. Changing the time window

You can also increase the time window of the chart by changing the time to Past 15 minutes by selecting from the Time dropdown.

Line Chart Line Chart

3. Viewing the Data Table

Click on the Data Table tab.

Data Table Data Table

You now see 18 rows, each representing a metric time series with a number of columns. These columns represent the dimensions of the metric. The dimensions for demo.trans.latency are:

  • demo_datacenter
  • demo_customer
  • demo_host

In the demo_datacenter column you see that there are two data centers, Paris and Tokyo, for which we are getting metrics.

If you move your cursor over the lines in the chart horizontally you will see the data table update accordingly. If you click on one of the lines in the chart you will see a pinned value appear in the data table.


Now click on Plot editor again to close the Data Table and let’s save this chart into a dashboard for later use!