Create a Chart

1. Select your data
First series
Second series
2. Configure chart
💡 Tip: Absolute dual-axis charts are useful for identifying correlations between data feeds, but can obscure the magnitude of the changes. Study the data carefully before drawing conclusions.

Share your chart

Well be rolling out the ability to save, share, and embed your charts soon.

About this tool

Create your own chart using data from Realtime. Select up to two different data feeds to plot them against each other in a line chart or scatter plot. These charts always stay up-to-date with the latest available data.

Use the controls beneath the chart to customize it to suit your needs. Each of the controls are explained below.

Timespan. Use this option to determine how far back in time to plot the data. If max is selected, then the chart will show the historic period that has data available for all selected feeds. Use the other options to set an explicit time range, though note that historic data is not available for all data feeds.

Chart. Use this option to switch between a line graph or a scatter plot. A line graph will show the data as it unfolded over time, while a scatter plot will assign each selected data feed to a corresponding axis.

Scale. The scale control allows you to transform between displaying an absolute number or percent change. If percentage is selected, then the first data point will be used as a baseline, and the subsequent data will be transformed to show the percentage difference from that. This is useful for comparing the change in data feeds that may have different underlying units.

Axes. Use this to determine whether the data in a line chart is plotted on a single shared axis, or on dual axes. When data is plotted on a single axis the lines are directly comparable, but this may not lead to a particularly useful chart if the underlying units are different. When data is plotted on a dual axis, then be careful to look at the differences in scale between the axes before drawing any conclusions about the relationship between the data.

Have a bug report or feature request? Let us know.