Delta lines of code (DLOC) allows you to monitor repository activity in terms of the number of lines of code added and removed in a selected period of time, and by selected committers. 

The default DLOC view shows you a report for the whole repository from the preceding 7 days. However, you can customise the report to see more specific data based on the following:

• Custom dates

You can select the date range for which you want to view the DLOC report. Depending on the period length, the DLOC report data will be displayed per months or per days. The area marked green represents the lines of code added in a selected period of time. The area marked red represents the lines of code removed in a selected period of time. 

• Top committers

You can view the committers who added and removed the largest number of lines of code. Note that the data in the graph will be displayed automatically for the period of time you selected earlier. The graph displays a maximum number of 10 top committers. 

• Custom  committers

In the DLOC report, you can display the data for selected committers only. Note that the data in the graph will be displayed automatically for the period of time you selected earlier. Here the color-coding is used to differentiate between users rather than to show added or removed lines of code.

If a committer is mapped to a user, you'll see their display name. If a committer is not mapped to a user, you'll see the committer's name. Committers with no activity in a selected period of time are labelled in the committers' drop-down list and marked grey in the graph.

• Custom  folder

You can select a folder from the left-hand side folder structure to display the repository activity for that directory. 

You can view the specific data from which the DLOC graph was generated. Click the Export raw data button to generate a CSV file with all revisions uses to generate your DLOC graph. Alternatively, click the View on EyeQL to view the unaggregated data used to build your DLOC report. To aggregate the data in the EyeQL view, use the group by query. See EyeQL reference guide.