### Description

In Airflow UI. If we go to Browse --> DAG Runs, then DAG Runs view will be displayed.

Table contains a lot of insightful values likes DAG execution date, Start date, end date, Dag config etc

Request to add DAG duration column in the same table.
DAG Duration i.e. DAG end_date timestamp  - DAG start_date timestamp

### Use case/motivation

Analytics purpose of knowing DAG duration at all DAGs level. So that I can easily find out which DAG  have least and max duration.

### Related issues

Checked open issues. There aren't any

### Are you willing to submit a PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

airflow/www/views.py
permissions.ACTION_CAN_READ,
        permissions.ACTION_CAN_ACCESS_MENU,
    ]
    list_columns = [
        'id',
        'dag_id',
        'run_id',
        'dag_run.execution_date',
        'task_id',
        'try_number',
        'start_date',
        'end_date',
        'duration',
        'reschedule_date',
    ]
    label_columns = {
        'dag_run.execution_date': 'Logical Date',
    }
    search_columns = [
        'dag_id',
        'task_id',
        'run_id',
        'execution_date',
        'start_date',
        'end_date',
        'reschedule_date',
    ]
    base_order = ('id', 'desc')
    base_filters = [['dag_id', DagFilter, lambda: []]]
    def duration_f(self):