Here is an example dataset:

Dataset Size: 1994
Dataset Columns:
communityname,URL,Long,Lat,ViolentCrimesPerPop,population,householdsize,racePctAsian,racePctHisp,agePct12t21,agePct12t29,agePct16t24,agePct65up,numbUrban,pctUrban,medIncome,pctWWage,pctWFarmSelf,pctWInvInc,pctWSocSec,pctWPubAsst,pctWRetire,medFamInc,perCapInc,whitePerCap,blackPerCap,indianPerCap,AsianPerCap,HispPerCap,NumUnderPov,PctPopUnderPov,PctLess9thGrade,PctNotHSGrad,PctBSorMore,PctUnemployed,PctEmploy,PctEmplManu,PctEmplProfServ,PctOccupManu,PctOccupMgmtProf,MalePctDivorce,MalePctNevMarr,FemalePctDiv,TotalPctDiv,PersPerFam,PctKids2Par,PctTeen2Par,PctWorkMomYoungKids,PctWorkMom,Pctoutofwedlock,NumImmig,PctImmigRecent,PctImmigRec5,PctImmigRec8,PctImmigRec10,PctRecentImmig,PctRecImmig5,PctRecImmig8,PctRecImmig10,PctSpeakEnglOnly,PctNotSpeakEnglWell,PctLargHouseFam,PctLargHouseOccup,PersPerOccupHous,PersPerOwnOccHous,PersPerRentOccHous,PctPersOwnOccup,PctPersDenseHous,PctHousLess3BR,MedNumBR,HousVacant,PctHousOccup,PctHousOwnOcc,PctVacantBoarded,PctVacMore6Mos,MedYrHousBuilt,PctHousNoPhone,PctWOFullPlumb,OwnOccLowQuart,OwnOccMedVal,OwnOccHiQuart,RentLowQ,RentMedian,RentHighQ,MedRent,MedRentPctHousInc,MedOwnCostPctInc,MedOwnCostPctIncNoMtg,NumInShelters,NumStreet,PctForeignBorn,PctBornSameState,PctSameHouse85,PctSameCity85,PctSameState85,LandArea,PopDens,PctUsePubTrans
Lakewoodcity,

Here is a list of suggested queries to perform based on the dataset:
"Driving factors of `ViolentCrimesPerPop`"
"Plot Correlation between `PctUsePubTrans` and PopDens`."
"Find outliers."
"Run Smart Mapping on `ViolentCrimesPerPop`."
"Draw a ScatterPlot of `PctUsePubTrans` vs. `PopDens`, with size using `RentMedian`."
"Produce a Histogram of `PctUsePubTrans`."


Rate these suggested queries based on the utility they provide to a user by providing a score on a 10 point scale. Your response should also include a justification for why the suggested query is a good one. The output format should look like this:

[{
"Query": {"suggested query": "Driving factors of `target`", "score": 8, "justification": "Smart mapping shows users the most impactful explanatory variables in an inspectable 3D plot. The variable `target` is influenced by many complex factors that would benefit from investigating its explanatory variables."}}
}]

You are a rest API. You Must answer in JSON. Do not add extra text.