### Description

Replace the existing selects with multi-selects that allow you to filter multiple DAG run states and types at the same time, somewhat similar to my prototype:

![image](https://github.com/apache/airflow/assets/1842905/c4ec0793-1ccb-417d-989c-781997416f97)


### Use case/motivation

I'm not sure if it is just me, but sometimes I wish I was able to show multiple DAG run states, especially `running` and `failed`, at the same time. 
This would be especially helpful for busy DAGs on which I want to clear a few failed runs. Without the multi-select, if I switch from `failed` to `running` DAG runs, I need to orient myself again to find the run I just cleared (assuming there are lots of other running DAG runs). _With_ the multi-select, the DAG run I just cleared stays in the same spot and I can check the logs, while clearing some other failed runs.

I'm not sure we need a multi-select for DAG run types as well. I'd tend to say no, but maybe someone else has a use-case for that.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] 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)

"""Return cluster activity historical metrics."""
        start_date = _safe_parse_datetime(request.args.get("start_date"))
        end_date = _safe_parse_datetime(request.args.get("end_date"))
        with create_session() as session:
            
            dag_run_types = session.execute(
                select(DagRun.run_type, func.count(DagRun.run_id))
                .where(
                    DagRun.start_date >= start_date,
                    func.coalesce(DagRun.end_date, datetime.datetime.utcnow()) <= end_date,
                )
                .group_by(DagRun.run_type)
            ).all()
            dag_run_states = session.execute(
                select(DagRun.state, func.count(DagRun.run_id))
                .where(
                    DagRun.start_date >= start_date,
                    func.coalesce(DagRun.end_date, datetime.datetime.utcnow()) <= end_date,
                )
                .group_by(DagRun.state)
            ).all()
            
            task_instance_states = session.execute(
                select(TaskInstance.state, func.count(TaskInstance.run_id))