FAQ About Grafana

Grafana offers a variety of visualization options to help you present your data in meaningful and informative ways. These visualization options cater to different types of data and use cases, allowing you to choose the best representation for your data. Here are some of the visualization options available in Grafana:

• Graph: The graph visualization is suitable for time-series data. It can display multiple series on the same graph, making it easy to compare trends and patterns.
• Singlestat: Singlestat panels display a single value, making them ideal for showcasing a single metric or key value.
• Table: The table visualization presents tabular data, which is useful for displaying data in a structured format. It can include sortable columns and support data grouping.
• Bar Gauge: Bar gauges provide a simple and intuitive way to visualize metrics as a percentage of a whole. They are suitable for showing progress or utilization.
• Pie Chart: Pie charts display data as slices of a circular chart, making it easy to visualize the distribution of data among different categories.
• Heatmap: Heatmaps use colors to represent data values in a grid format. They are effective for showing data density and variations.
• Stat: The stat visualization presents a single value with a label, making it suitable for showcasing key metrics and values.
• Gauge: Gauges are circular charts that represent a value as a position on the gauge. They are commonly used to display ranges and utilization metrics.
• Singlestat Plus Sparkline: This visualization combines a singlestat panel with a small sparkline chart, providing a quick overview of trends alongside a single value.
• Logs: The logs visualization displays log data in a list format, helping you monitor and analyze logs from various sources.
• Histogram: Histograms divide data into bins or buckets and show the frequency distribution of values.
• Worldmap: The worldmap visualization lets you plot data on a world map, allowing you to visualize geographic distribution.
• Discrete: The discrete visualization displays discrete values in a horizontal or vertical bar format, making it useful for categorical data.
• Radar: Radar charts show multivariate data in a circular format, with axes emanating from the center.
• Clock: The clock visualization presents time-based data in a clock-like format, helping you visualize events over a 24-hour period.