#Ways to visualize data series#

The Bin Size option determines the bounds for each bin. Heatmaps divide data points into “bins” – segments of the visualization with upper and lower bounds for both X and Y axes. The following example shows the current percentage of memory used as well as memory usage over time.Ī Heatmap displays the distribution of data on an x and y axes where color represents different concentrations of data points. The primary use case for the Graph + Single Stat visualization is to show the current or latest value as well as historical values. It uses the latest point in the first table (or series) returned by the query. The Single Stat visualization displays a single numeric data point.

#Ways to visualize data series#

The Graph + Single Stat view displays the specified time series in a line graph and overlays the single most recent value as a large numeric value. Graph + Single Stat visualization for time series data While the above graph is an example of a line graph with linear interpolation (interpolation is the estimation of a value within two known values in a sequence of values), the below two graphs depict smooth interpolation and step interpolation.

Then the dependent variable is plotted on the vertical axis.

The dependent variable depends on how the independent variable changes.įor temporal visualizations, time is always the independent variable, which is plotted on the horizontal axis.

An independent variable, true to its name, remains unaffected by other parameters.

A line graph uses points connected by lines (also called trend lines) to show how a dependent variable and independent variable changed: It helps the viewer get a quick sense of how something has changed over time. The Graph view in the InfluxDB 2.0 UI lets you select from multiple graph types such as line graphs and bar graphs (Coming).Ī line graph is the simplest way to represent time series data. Use available customization options to customize each visualization. The InfluxDB 2.0 user interface (UI) provides multiple visualization types to visualize your data in a format that makes the most sense for your use case. Using templates or Flux (InfluxData’s functional data scripting language designed for querying and analyzing), InfluxDB empowers you to rapidly build dashboards with real-time visualizations and alerting capabilities across measurements. The InfluxDB user interface (UI) provides tools for building custom dashboards to visualize your data. InfluxDB allows you to quickly see the data that you have stored via the Data Explorer UI.