Splunk Visualizations

These allow you to create a visual representation of search results from inline searches, pivots, tables, or reports. There are a significant number of options available to you to see your data in a different way.

In the previous section we went over viewing results and turning those results into a table. Once you start creating tables you can then start turning those tables into visualizations. Below are some examples of visualizations:

Visualization	Usage	More Detail
Charts	Visualize one or more dimensions in a data set. Use one of the following chart types depending on how many dimensions, or fields, you are visualizing. Pie Area, line, column, bar Bubble and scatter	Coming Soon
Single Value	Show an aggregated metric in context. Track recent changes or trends in real time. Use colors to add context dynamically.
Gauges	Show an aggregated metric against a range. Track a metric as it approaches a specific target.
Maps	Visualize data with geographic coordinates. Use a Choropleth map to show and compare regional trends or concentrations. Use a marker map to plot geographic data

Chart overview

Pie

Shows a single dimension. Pie slice size represents the density or frequency of values in a field.

Column and bar

epresent one or more dimensions in a results set. These charts plot data on two axes. Each axis represents a results field.

Column and bar charts can compare values and fields.

Scatter and bubble

Represent multiple dimensions in a results set. These charts plot data on two axes. Data point appearance, size, and/or distribution show additional patterns or relationships.