Which command is used to create a visual representation of time-series data in Splunk?

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The command used to create a visual representation of time-series data in Splunk is the Timechart command. This command is specifically designed to aggregate and display data over time, making it ideal for analyzing trends and patterns within time-series data.

When using the Timechart command, Splunk automatically organizes the data points chronologically on the x-axis, while the y-axis represents the values of the specified metrics. It can also handle various types of statistical aggregation, such as count, sum, average, or more complex calculations, depending on the needs of the analysis. Timechart is particularly useful for visualizing changes over time, which is a key aspect when dealing with time-series data.

While the Chart command can also create visualizations, it does not specifically tailor to time-based aggregations, making it less effective for this purpose. The other options, such as Graphs and Metrics, do not accurately describe the command used in this context, as they are not standard commands in Splunk for creating time-series visualizations.

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