Grafana dashboards

Grafana is an interactive data visualization platform that allows data analysis through tables and graphs.

Each dashboard is composed of different types of panels where the necessary tables or graphs are developed.

Among the different panels that can be used, we would highlight:

• Time series: Time series visualizations are the default and primary way to visualize time series data as a graph. They can render series as lines, points, or bars.

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• Bar chart: Bar charts allow you to graph categorical data.

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• Stat: A stat visualization displays your data in single values of interest—such as the latest or current value of a series—with an optional graph sparkline. A graph sparkline, which is only available in stat visualizations, is a small time-series graph shown in the background of each value in the visualization.

• Gauge: Gauges are single-value visualizations that can repeat a gauge for every series, column or row.

• Table: Tables are useful for listing items. This visualization also provides date formatting, vale formatting, coloring options and filter aggregation options.

• Pie chart: Pie charts display reduced series, or values in a series, from one or more queries, as they relate to each other, in the form of slices of a pie. The arc length, area and central angle of a slice are all proportional to the slices value, as it relates to the sum of all values. This type of chart is best used when you want a quick comparison of a set of values.

• State timeline: A state timeline visualization displays data in a way that shows state changes over time. In a state timeline, the data is presented as a series of bars or bands called state regions. State regions can be rendered with or without values, and the region length indicates the duration or frequency of a state within a given time range.

• Histogram: Histograms calculate the distribution of values and present them as a bar chart. Each bar represents a bucket; the y-axis and the height of each bar represent the count of values that fall into each bucket, and the x-axis represents the value range.

• Geomap: Geomaps allow you to view and customize the world map using geospatial data. You can configure various overlay styles and map view settings to easily focus on the important location-based characteristics of the data.

• Text: Text visualizations enable you to directly include text or HTML in your dashboards. This can be used to add contextual information and descriptions or embed complex HTML.