Context Finding the factors that may influence the Standardized Readmission Ratio (SRR) to help dialysis facilities improve care qulaity. Content Integer,CCN AverageAge PctgAge18 PctgAge18t64 PctgAge64 PctgBlack PctgHispanic PctgFemale Network Name City StateCode PctgCalciumUncorrected102 AvgCalciumUncorrected AvgSerumPhosphorous PctgSerumPhosphorous70 PctgFistula PctgCatheterOnly90 TotalPatients PctgMedicare PctgMedicarePending PctgNonMedicare ComplianceStatus ProfitStatus ChainOwner EveningShift DialyzerReuse TotalStations TotalStaff SRR PctgFluVaccine AvgHemoglobin PctgHemoglobin10 PctgHemoglobin10t11 PctgHemoglobin11t12 PctgHemoglobin12 PctgESAPrescribed AvgUFR PctgUFRLE13 PctgUFRGT13 AvgKtV PctgKtV12 PctgKtV12t18 PctgKtV18 PctgKtVOther ZipCode PctgBlackACS PctgHispanicACS UnemploymentRate PctgFamilyBelowFPL PctgPoorEnglish HospitalAffiliation State Region Division Urbanicity Urbanicity2 YearsInOps Acknowledgements This is the final dataset produced by the data blending process described below: - https://www.kaggle.com/wcj365/activity-one-blend-dfr-dfc-qip-data - https://www.kaggle.com/wcj365/activity-two-blend-acs-data - https://www.kaggle.com/wcj365/activity-three-to-seven Thanks to Kaggle for the powerful platform and wonderful community. Inspiration Data Analytics for Social Good.