react JS import Files and use specific one based on Condition

Im trying to show on a google map markers based on lat and lng from a json file.

I'm importing the files like that:

import * as crimeData from "../resources/newfile.json";
import * as aggAssault from "../resources/categories/AGG_ASSAULT.json";
import * as autoTheft from "../resources/categories/AUTO_THEFT.json";
import * as burglaryNonres from "../resources/categories/BURGLARY-NONRES.json";
import * as burglaryResidence from "../resources/categories/BURGLARY-RESIDENCE.json";
import * as homocide from "../resources/categories/HOMICIDE.json";
import * as larcenyFromVehicle from "../resources/categories/LARCENY-FROM_VEHICLE.json";
import * as larcenyNonVehicle from "../resources/categories/LARCENY-NON_VEHICLE.json";
import * as rape from "../resources/categories/RAPE.json";
import * as robberyCommercial from "../resources/categories/ROBBERY-COMMERCIAL.json";
import * as robberyPedestrian from "../resources/categories/ROBBERY-PEDESTRIAN.json";
import * as robberyResidence from "../resources/categories/ROBBERY-RESIDENCE.json";

each file is a category of crime.

when i use this it works:

function Map() {
            return (
            <>
            <GoogleMap 
            defaultZoom={10}
            defaultCenter= 
            >
                {crimeData.crimes.map((crime) => (
                    <Marker key={Math.random()} position =  />
                )
                )}
            </GoogleMap>
            </>
            );
        }

        const WrappedMap = withScriptjs(withGoogleMap(Map));

but I need to change crimeData to one of the other files based on a condition.

i have tried this:

const array= [aggAssault, autoTheft, burglaryNonres, burglaryResidence, homocide, larcenyFromVehicle, larcenyNonVehicle, rape, robberyCommercial, robberyPedestrian, robberyResidence ]

and replaced crimeDate with array[1] for example and I get an error. the error is a type error, i guess its not taking array[2] as an imported json file any idea on how to do it. Thank you.

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