You can create a different types of custom chart to visualize data.
Bar Graph
The bar graph allows for visualization of numeric data over an x-axis. When you define a bar
graph, you must choose the value for
X-Axis first. You can choose from the
following possible values.
- Timeline - choose Timeline for
X-Axis if you want to see your data as a trend (for example, average app
session duration over time).
- Property - choose Property if you want to see a
count breakdown for the specific property. If you choose Property for
X-Axis, then Total is implicitly chosen for
Y-Axis. For example, choose Property for
X-Axis and Application Name for
Property to see a count for a specified event type, which is broken down by
app name.
After you define a value for
X-Axis, you can define a value for
Y-Axis. If you choose
Timeline for
X-Axis, you can choose the following possible values for
Y-Axis.
- Average - averages a numeric property in the supplied event type.
- Total - a total count of a property in the supplied event type.
- Unique - a unique count of a property in the supplied event type.
After you define the chart axes, you must choose a value for Property.
Line Graph
The line graph allows for the visualization of some metric over time. This type of chart is
valuable when you want to visualize data in terms of a trend over time. The first value to define
when you create a line graph is
Measure, which has the following possible values.
- Average - averages a numeric property in the supplied event type.
- Total - a total count of a property in the supplied event type.
- Unique - a unique count of a property in the supplied event type.
After you define the measurement, you must choose a value for
Property.
Flow Chart
The flow chart allows for the visualization of flow breakdown of one property to another. For a
flow chart, the following properties must be set.
- Source - the value of a source node in the diagram.
- Destination - the value of the destination node in the diagram.
- Property - a property value from either the source node or the
destination node.
With the flow chart, you can see the density breakdown of various sources that flow to a
destination, or vice versa. For example, if you want to see the breakdown of log severities for an
app, you can define the following values.
- Select Application Name for Source.
- Select Log Level for Destination.
- Select the name of your app for Property.
Metric Group
The metric group can be used to visualize a single metric that is measured as either an average
value, a total count, or a unique count. To define a metric group, you must define one of the
following possible values for
Measure.
- Average - averages a numeric property in the supplied event type.
- Total - a total count of a property in the supplied event type.
- Unique - a unique count of a property in the supplied event type.
After you define the measurement, you must choose a value for Property.
This metric is displayed in the metric group.
Pie Chart
The pie chart can be used to visualize the count breakdown of values for a particular property.
For example, if you want to see a crash breakdown, define the following values.
- Select App Session for Event Type.
- Select Pie Chart for Chart Type.
- Select Closed By for Property.
The resulting pie chart shows the breakdown of app sessions that were closed by the user as
opposed to app sessions that were closed by a crash.
Table
The table is useful when you want to see the raw data. Building a table is as simple as adding
columns for the raw data that you want to see.
Because not all properties are required for specific event types, null values can appear in your
table. If you want to prevent these rows from appearing in your table, add an
Exists filter for a specific property in the Chart
Filters tab.