Here is an example dataset:
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 PctUsePubTransvs.PopDens, with size using RentMedian." "Produce a Histogram of PctUsePubTrans`."

The output format should look like this:
{"dataset_info": "The provided dataset contains information about...",
"queries": [{"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."}]
}

Generate a description of the dataset based on the column names and rate these suggested queries based on the utility they provide to a user by providing a score on a 10-point scale. dataset_info and justification must be concise and not longer than 1,2 sentence.
The JSON answer is: Please reply with exactly 3 paragraphs and separate each paragraph with two new lines. The very 2nd paragraph must start with the word "guarantee".
user