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On a dashboard, you can add a filter for the data results and display only the data that contain a particular value. You can also create negative filters that exclude data that contain the specified value. Filtering makes it easier for you to focus on specific information on a dashboard. The applied filters are shown in the query bar. Negative filters start with NOT in red.
After you add a filter, you can manage it by applying quick actions on the filter label such as excluding matches, and editing or removing the filter.
On a data source dashboard, for example Technical Metrics > Source Control > Commits > Overview, click + Add filter.
Click in the Filter field and:
Select an operator from the Operator drop-down list
Type or select a filter value in the Value field. Note: You can turn on the Create Custom label? key to open Custom label field that lets you enter a label value that identifies your filter subject.
Click Save. The filter label appears in the query bar.
Enable all enables all the disabled filters.
Disable all disables the filters without removing them. Strike-through indicates that filters are disabled.
Pin all pins the filters. Pinned filters persist when you switch contexts. For example, you can pin a filter in one dashboard and it remains in place when you switch to another dashboard. A filter is based on a particular index field—if the indices being searched do not contain the field in a pinned filter, it has no effect.
Unpin all disables all pinned filters.
Invert inclusion switches the positive filters to negative filters and vice-versa.
Invert enabled/disabled switches the enabled filters to disabled filters and vice-versa.
Remove all removes all the filters from the action bar.
The Edit filter option lets you manually update a filter and specify a label for it.
To edit a filter:
Click Save.
To manage a filter:
Click the filter that you want to manage, and select any of the action buttons to manage a filter:
Pin across all apps pins a filter across all applications in one dashboard. It remains in place when you switch to another dashboard.
Important: A filter is based on a particular index field—if the indices being searched do not contain the field in a pinned filter, it has no effect on the dashboard.
Edit filter opens the Edit filter dialog.
Include results includes items that match the specified field value. Exclude results option shows when you click Include results.
Exclude results excludes items that match the specified field value. Include results option shows when you click Exclude results.
Temporarily disable disables the filter without removing it. Strike-through indicates that a filter is disabled. Re-enable option shows when you click Temporarily disable.
Select a filter from the Field drop-down list.
Click Edit as Query DSL to build a filter using Elastic search Query DSL. You can create positive and negative operators and filter on whether or not a field is present. \
(Optional) Click to display and hide the CHANGE ALL FILTERS options as shown in the following example:
Click the filter that you want to edit and click Edit filter: The Edit filter dialog appears. \
Edit the filter by clicking Edit as Query DSL and following the instructions to edit a filter. \
Delete removes the filter. Note: You can click × next to a filter to delete it.
On Trends dashboard, you can select a time range form the time range bar to filter data. By default, the time range value is set to last 3 years on the time range bar. For more details, see Time-Based Data Aggregation Methods.
Note: 2000-PRESENT shows data from the year 2000 till date.
If you want to filter metrics data on project dashboards, then refer to the following process.
1. Open a project dashboard and click Select Time Range. The Time Range picker opens. Default time range is Last 90 days.
2. Select a quick filter to apply a time range and a value:
Quick shows preset time range values. Select a value, such as This Month, This Year, and so on, and click Apply.
Clicking Reset changes the time range to default value–last 90 Days.
Calendar lets you enter the start date and end date in the MM-DD-YY, HH:MM:SS format. Click Apply to see the project summary for the selected date and time.
The data refreshes to match your time range selection, and the value you selected shows next to the Time Range.
Note: If you filter data by selecting a time range for a project group, then the selected time range will be applicable for sub projects of the project group.
LFX Insights aggregates data and creates comprehensive dashboards from specific data sources. Dashboards include relevant visualizations that display analytic metrics and important data points. You can select and open a dashboard from drop-down lists corresponding to each data source.
A drop-down list is only available when a related data source is configured for the project.
To Filter Data:
1. From a project overview page, click a data source, for example Pull Requests / Changesets.
2. Select a dashboard from the drop-down list: The selected dashboard appears and shows relevant visualizations.
3. On a selected dashboard, navigate to the Filter visualization card, select values from the drop-down lists, and click Apply Changes to filter the dashboard data.
Apply changes: Filters the dashboard as per selected values
Cancel changes: If there are filter values selected before, it shows the previously selected filter values in the respective drop-down fields. If there are no filter values selected before, it cancels the present values.
Clear from: It clears all the filter values, and lets you add new values in the respective drop-down fields.
Refer the following to filter different metrics cards:
On a project dashboard, click Get Short URL, and click the icon next to the URL to copy the link of a respective dashboard for a project.
For a pie chart as mentioned below, eliminate data by clicking the corresponding legend caption. Click the caption again to include the data.
Click sparklines to open a bar chart that displays data per calendar period. Following example shows lines of code changed per calendar period.
Click numbers on a data card to view the respective dashboard. Following is an example of Lines of Code Changed:
You can use the Inspect option to learn more about the data.
Select Inspect. A dialog appears with options.
Mouse over a visualization, and click **** ****The Options dialog appears.
Select an option: Data or Requests. Data shows a table and lets you download the table data to a CSV file. Requests shows the Statistics, Request, or Response for the data in tabs.
Useful options let you perform actions on a visualization, such as exporting data from a table. Visualizations provide an option where appropriate.
1. Open a dashboard and then go to a visualization of interest.
Following example shows data specifically for a selected organization:
Following example shows dashboard where an organization's data is removed/filtered.
3. Click a common icon or item as available to:
2. For a doughnut chart visualization, click a value or organization as shown below, and then click to view data specifically for the selected value or to remove its data for a dashboard.
Icon | Description |
---|---|
Options:
Inspect: Inspects data for the visualization.
Customize time range: Lets you select a time range and add it to the panel. Click Show dates and the time range to open the time range picker for the visualization. Relative lets you enter the relative start time. You can specify the relative start time as any number of seconds, minutes, hours, days, months, or years ago. You can click the Round to the <time> key to set the exact time. After you click Add to panel, the timeline is added to the visualization panel, as shown below.
Full screen: Expands a visualization to full screen.
Toggles the list view
Show and hide a legend.
Sort the column data in ascending or descending order.
Export and download data to a Comma-Separated Values (CSV) file.
Raw downloads the data as provided: dates are timestamps, numbers do not have a thousand separator, and so on.
Formatted downloads the data in table format.
Open the corresponding URL.
A data marker represents a single data value on bar graphs, stacked bar graphs, doughnut charts, and so on. You can change the color of a data marker to meet your needs.
Click the color you want to use. The data marker refreshes to show the color that you chose.
On a chart legend, click the color of the individual data marker that you want to change. A color chart appears: