The Table visualization option displays the results of queries in a tabular view, which is sometimes easier to analyze than graph views of data. The following gauge visualization displays the pressure of steam pipes in a facility. Gauge visualizations are useful for showing the current value of a metric and displaying where it falls within a spectrum.
![time lapse tool serial time lapse tool serial](http://www.bkill.com/u/upload/2018/02/06/070032338848.jpg)
TIME LAPSE TOOL SERIAL SERIES
The Gauge view displays the single most recent value for a time series in a gauge view. The following visualization example shows the current memory usage as a percentage. It uses the latest point in the first table (or series) returned by the query. The Single Stat view displays the most recent value of the specified time series as a numerical value. The Histogram visualization is a bar graph that displays the number of data points that fall within “bins” – segments of the X axis with upper and lower bounds.įor example, the below histogram shows error counts by severity over time.
![time lapse tool serial time lapse tool serial](https://truckeagle930.weebly.com/uploads/1/2/4/7/124718171/791786975.png)
The y-axis is dedicated to count, and the x-axis is divided into bins. Warmer or brighter colors represent higher bin values or density of points within the bin.Ī heatmap, as shown below, can be used to visualize correlation.Ī histogram is a way to view the distribution of data. The total number of points that fall within a bin determine its value and color. 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. The Single Stat visualization displays a single numeric data point. 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:
![time lapse tool serial time lapse tool serial](http://oceancrack.com/wp-content/uploads/2019/09/u1.jpg)
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.