### 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)

last_task_instance_query_result, running_task_instance_query_result
            ).alias("final_ti")
        else:
            final_task_instance_query_result = running_task_instance_query_result.subquery("final_ti")
        qry = session.execute(
            select(
                final_task_instance_query_result.c.dag_id,
                final_task_instance_query_result.c.state,
                final_task_instance_query_result.c.is_dag_running,
                sqla.func.count(),
            )
            .group_by(
                final_task_instance_query_result.c.dag_id,
                final_task_instance_query_result.c.state,
                final_task_instance_query_result.c.is_dag_running,
            )
            .order_by(
                final_task_instance_query_result.c.dag_id,
                final_task_instance_query_result.c.is_dag_running.desc(),
            )
        )
        data = get_task_stats_from_query(qry)
        payload: dict[str, list[dict[str, Any]]] = defaultdict(list)
        for dag_id, state in itertools.product(filter_dag_ids, State.task_states):
            payload[dag_id].append({"state": state, "count": data.get(dag_id, {}).get(state, 0)})
        return flask.json.jsonify(payload)
    @expose("/last_dagruns", methods=["POST"])
    @auth.has_access_dag("GET", DagAccessEntity.RUN)
    @provide_session
    def last_dagruns(self, session: Session = NEW_SESSION):