Tableau problem homework to be done in Tableau format
MHA Analytics Assignment 5 side by side K B.twb
Date 7 [Date] [07 - Teenage Obesity Rates] Date 0 date Year true "DATE" Gender 130 [Gender] [07 - Teenage Obesity Rates] Gender 1 string Count true "WSTR" Race 130 [Race] [07 - Teenage Obesity Rates] Race 2 string Count true "WSTR" Prevalence (%) 5 [Prevalence (%)] [07 - Teenage Obesity Rates] Prevalence (%) 3 real Sum 15 true "R8" 0 [07 - Teenage Obesity Rates] Count true 0 "A1:D61:no:A1:D61:0" true 6 Date 133 [Date] [Extract] Date 0 07 - Teenage Obesity Rates date Year 6 false #2005-12-31# #2015-12-31# 60 #2011-12-31# true "array" true "asc" 4 0 "asc" 1 "date" Gender 129 [Gender] [Extract] Gender 1 07 - Teenage Obesity Rates string Count 2 1 1073741823 false "Female" "Male" 60 "en_US_CI" true "heap" true 4294967292 1 "asc" 1 "str" Number of Records 16 [Number of Records] [Extract] Number of Records 2 integer Sum 1 false 60.0 1.0 1 1 0.0 0.0 0.0 0.0 60 1 60.0 "asc" 1 "sint8" Prevalence (%) 5 [Prevalence (%)] [Extract] Prevalence (%) 3 07 - Teenage Obesity Rates real Sum 55 false 7.793000000000001 0.12988333333333335 0.013000000000000001 0.21199999999999999 0.051706830570859862 0.051274129820884147 0.002673596327683608 0.0026290363888888811 60 1.1699229999999998 8 3 "asc" "double" Race 129 [Race] [Extract] Race 4 07 - Teenage Obesity Rates string Count 5 1 1073741823 false "Asian" "White" 60 "en_US_CI" true "heap" true 4294967292 2 "asc" 1 "str" Pt ID 20 [Pt ID] [06 - Patient Readmission Days] Pt ID 0 integer Sum true "I8" Cardiovascular Patients 130 [Cardiovascular Patients] [06 - Patient Readmission Days] Cardiovascular Patients 1 string Count true "WSTR" Number of days to readmission 20 [Number of days to readmission] [06 - Patient Readmission Days] Number of days to readmission 2 integer Sum true "I8" 0 [06 - Patient Readmission Days] Count true 0 "A1:C168:no:A1:C168:0" true 6 Cardiovascular Patients 129 [Cardiovascular Patients] [Extract] Cardiovascular Patients 0 06 - Patient Readmission Days string Count 167 1 1073741823 false "Patient 1" "Patient 99" 167 "Patient 23" "en_US_CI" true "heap" true "asc" 4294967292 0 "asc" 2 true "str" Number of Records 16 [Number of Records] [Extract] Number of Records 1 integer Sum 1 false 167.0 1.0 1 1 0.0 0.0 0.0 0.0 167 1 167.0 "asc" 1 "sint8" Number of days to readmission 16 [Number of days to readmission] [Extract] Number of days to readmission 2 06 - Patient Readmission Days integer Sum 28 false 1836.0 10.994011976047904 1 30 7.8613719379535567 7.8377995552399815 61.801168746843665 61.431101868120045 167 30444.0 1 "sint8" Pt ID 2 [Pt ID] [Extract] Pt ID 3 06 - Patient Readmission Days integer Sum 167 false 14028.0 84.0 1 167 48.352869614946329 48.207883172775801 2338.0 2324.0 167 84 1566460.0 2 1 "asc" true "sint16" Type of Care 130 [Type of Care] [02 - Patient Falls-Single Hosp] Type of Care 0 string Count true "WSTR" Patient Falls No Injury (count) 20 [Patient Falls No Injury (count)] [02 - Patient Falls-Single Hosp] Patient Falls No Injury (count) 1 integer Sum true "I8" Patient Falls No Injury Rate 5 [Patient Falls No Injury Rate] [02 - Patient Falls-Single Hosp] Patient Falls No Injury Rate 2 real Sum 15 true "R8" Patient Falls With Injury (count) 20 [Patient Falls With Injury (count)] [02 - Patient Falls-Single Hosp] Patient Falls With Injury (count) 3 integer Sum true "I8" Patient Falls with Injury Rate 5 [Patient Falls with Injury Rate] [02 - Patient Falls-Single Hosp] Patient Falls with Injury Rate 4 real Sum 15 true "R8" Total Patient Falls (count) 20 [Total Patient Falls (count)] [02 - Patient Falls-Single Hosp] Total Patient Falls (count) 5 integer Sum true "I8" Total Patient Falls Rate 5 [Total Patient Falls Rate] [02 - Patient Falls-Single Hosp] Total Patient Falls Rate 6 real Sum 15 true "R8" Total Patient Days 20 [Total Patient Days] [02 - Patient Falls-Single Hosp] Total Patient Days 7 integer Sum true "I8" 0 [02 - Patient Falls-Single Hosp] Count true 0 "A1:H6:no:A1:H6:0" true 6 Number of Records 16 [Number of Records] [Extract] Number of Records 0 integer Sum 1 false 5.0 1.0 1 1 0.0 0.0 0.0 0.0 5 1 5.0 "asc" 1 "sint8" Patient Falls No Injury (count) 2 [Patient Falls No Injury (count)] [Extract] Patient Falls No Injury (count) 1 02 - Patient Falls-Single Hosp integer Sum 5 false 316.0 63.200000000000003 3 182 69.879896966151861 62.502479950798751 4883.1999999999998 3906.5599999999999 5 39504.0 2 1 "asc" true "sint16" Patient Falls No Injury Rate 5 [Patient Falls No Injury Rate] [Extract] Patient Falls No Injury Rate 2 02 - Patient Falls-Single Hosp real Sum 5 false 9.4299999999999997 1.8859999999999999 0.58799999999999997 3.3929999999999998 1.2806820448495402 1.1454768439388026 1.6401464999999995 1.3121171999999997 5 24.345565999999998 8 true "double" Patient Falls With Injury (count) 16 [Patient Falls With Injury (count)] [Extract] Patient Falls With Injury (count) 3 02 - Patient Falls-Single Hosp integer Sum 5 false 123.0 24.600000000000001 5 67 24.480604567698077 21.896118377465903 599.29999999999995 479.44 5 5423.0 1 true "sint8" Patient Falls with Injury Rate 5 [Patient Falls with Injury Rate] [Extract] Patient Falls with Injury Rate 4 02 - Patient Falls-Single Hosp real Sum 5 false 4.3100000000000005 0.8620000000000001 0.42999999999999999 1.2490000000000001 0.35028345664618521 0.31330304818178828 0.1226984999999999 0.098158799999999935 5 4.2060140000000006 8 true "double" Total Patient Days 3 [Total Patient Days] [Extract] Total Patient Days 5 02 - Patient Falls-Single Hosp integer Sum 5 false 142732.0 28546.400000000001 5100 53640 19263.109673674186 17229.449075347708 371067394.30000001 296853915.44 5 5558754342.0 4 true "sint32" Total Patient Falls (count) 2 [Total Patient Falls (count)] [Extract] Total Patient Falls (count) 6 02 - Patient Falls-Single Hosp integer Sum 5 false 439.0 87.799999999999997 8 249 94.306415476360883 84.350222287792462 8893.7000000000007 7114.96 5 74119.0 2 true "sint16" Total Patient Falls Rate 5 [Total Patient Falls Rate] [Extract] Total Patient Falls Rate 7 02 - Patient Falls-Single Hosp real Sum 5 false 13.739999999999998 2.7479999999999998 1.2569999999999999 4.6420000000000003 1.5448048420431635 1.3817154555117355 2.3864220000000032 1.9091376000000024 5 47.303208000000005 8 true "double" Type of Care 129 [Type of Care] [Extract] Type of Care 8 02 - Patient Falls-Single Hosp string Count 5 1 1073741823 false "Adult Critical Care" "Adult Surgical" 5 "Adult Medical" "en_US_CI" true "heap" true "asc" 4294967292 0 "asc" 1 true "str" Year 7 [Year] [19 - Opioid Deaths] Year 0 date Year true "DATE" Population 20 [Population] [19 - Opioid Deaths] Population 1 integer Sum true "I8" Crude Death Rate - Heroin (T40.1) 5 [Crude Death Rate - Heroin (T40.1)] [19 - Opioid Deaths] Crude Death Rate - Heroin (T40.1) 2 real Sum 15 true "R8" Age-Adjusted Death Rate - Heroin (T40.1) 5 [Age-Adjusted Death Rate - Heroin (T40.1)] [19 - Opioid Deaths] Age-Adjusted Death Rate - Heroin (T40.1) 3 real Sum 15 true "R8" Count of Deaths - Heroin (T40.1) 20 [Count of Deaths - Heroin (T40.1)] [19 - Opioid Deaths] Count of Deaths - Heroin (T40.1) 4 integer Sum true "I8" Crude Death Rate - Other Synthetic Narcotics (T40.4) 5 [Crude Death Rate - Other Synthetic Narcotics (T40.4)] [19 - Opioid Deaths] Crude Death Rate - Other Synthetic Narcotics (T40.4) 5 real Sum 15 true "R8" Age-Adjusted Death Rate - Other Synthetic Narcotics (T40.4) 5 [Age-Adjusted Death Rate - Other Synthetic Narcotics (T40.4)] [19 - Opioid Deaths] Age-Adjusted Death Rate - Other Synthetic Narcotics (T40.4) 6 real Sum 15 true "R8" Count of Deaths - Other Synthetic Narcotics (T40.4) 20 [Count of Deaths - Other Synthetic Narcotics (T40.4)] [19 - Opioid Deaths] Count of Deaths - Other Synthetic Narcotics (T40.4) 7 integer Sum true "I8" 0 [19 - Opioid Deaths] Count true 0 "A1:H18:no:A1:H18:0" true 6 Age-Adjusted Death Rate - Heroin (T40.1) 5 [Age-Adjusted Death Rate - Heroin (T40.1)] [Extract] Age-Adjusted Death Rate - Heroin (T40.1) 0 19 - Opioid Deaths real Sum 9 false 21.199999999999999 1.2470588235294118 0.59999999999999998 3.8999999999999999 1.0137292828085462 0.98346186089441723 1.0276470588235296 0.96719723183391015 17 42.880000000000003 true "array" true 8 1 "double" Age-Adjusted Death Rate - Other Synthetic Narcotics (T40.4) 5 [Age-Adjusted Death Rate - Other Synthetic Narcotics (T40.4)] [Extract] Age-Adjusted Death Rate - Other Synthetic Narcotics (T40.4) 1 19 - Opioid Deaths real Sum 8 false 11.900000000000002 0.70000000000000018 0.20000000000000001 2.7999999999999998 0.62948391560070838 0.61068909968214424 0.39624999999999971 0.37294117647058794 17 14.669999999999998 true "array" true 8 1 "asc" 1 "double" Count of Deaths - Heroin (T40.1) 2 [Count of Deaths - Heroin (T40.1)] [Extract] Count of Deaths - Heroin (T40.1) 2 19 - Opioid Deaths integer Sum 17 false 64807.0 3812.1764705882351 1642 12284 3239.086642776288 3142.3756138103377 10491682.279411765 9874524.498269897 17 414922637.0 2 true "sint16" Count of Deaths - Other Synthetic Narcotics (T40.4) 2 [Count of Deaths - Other Synthetic Narcotics (T40.4)] [Extract] Count of Deaths - Other Synthetic Narcotics (T40.4) 3 19 - Opioid Deaths integer Sum 17 false 36169.0 2127.5882352941176 409 8609 1968.7773508837765 1909.9945814158903 3876084.2573529412 3648079.3010380622 17 138970087.0 2 true "sint16" Crude Death Rate - Heroin (T40.1) 5 [Crude Death Rate - Heroin (T40.1)] [Extract] Crude Death Rate - Heroin (T40.1) 4 19 - Opioid Deaths real Sum 9 false 21.000000000000004 1.2352941176470591 0.59999999999999998 3.7999999999999998 0.98548286164105081 0.95605880724282521 0.97117647058823453 0.91404844290657372 17 41.479999999999997 true "array" true 8 1 "double" Crude Death Rate - Other Synthetic Narcotics (T40.4) 5 [Crude Death Rate - Other Synthetic Narcotics (T40.4)] [Extract] Crude Death Rate - Other Synthetic Narcotics (T40.4) 5 19 - Opioid Deaths real Sum 9 false 11.699999999999999 0.68823529411764706 0.10000000000000001 2.7000000000000002 0.61429059994148594 0.59594941844300897 0.37735294117647067 0.35515570934256058 17 14.09 true "array" true 8 1 "double" Number of Records 16 [Number of Records] [Extract] Number of Records 6 integer Sum 1 false 17.0 1.0 1 1 0.0 0.0 0.0 0.0 17 1 17.0 "asc" 1 "sint8" Population 3 [Population] [Extract] Population 7 19 - Opioid Deaths integer Sum 17 false 5112618876.0 300742286.82352942 279040168 321418820 13392127.217630057 12992271.781175971 179349071413187.75 168799126035941.44 17 301231207 1.5404502775679936e+18 4 true "sint32" Year 133 [Year] [Extract] Year 8 19 - Opioid Deaths date Year 17 false #1999-12-31# #2015-12-31# 17 #2007-12-31# "asc" 4 0 "asc" true "date" HEDIS Measure 130 [HEDIS Measure] [14 - HEDIS Comp Diab Care] HEDIS Measure 0 string Count true "WSTR" HEDIS Measure Components 130 [HEDIS Measure Components] [14 - HEDIS Comp Diab Care] HEDIS Measure Components 1 string Count true "WSTR" Physician Group 130 [Physician Group] [14 - HEDIS Comp Diab Care] Physician Group 2 string Count true "WSTR" Patients with Measure Performed 20 [Patients with Measure Performed] [14 - HEDIS Comp Diab Care] Patients with Measure Performed 3 integer Sum true "I8" Patients with a Diagnosis of Diabetes 20 [Patients with a Diagnosis of Diabetes] [14 - HEDIS Comp Diab Care] Patients with a Diagnosis of Diabetes 4 integer Sum true "I8" Compliance Rate 5 [Compliance Rate] [14 - HEDIS Comp Diab Care] Compliance Rate 5 real Sum 15 true "R8" Target 5 [Target] [14 - HEDIS Comp Diab Care] Target 6 real Sum 15 true "R8" 0 [14 - HEDIS Comp Diab Care] Count true 0 "A1:G41:no:A1:G41:0" true 6 Compliance Rate 5 [Compliance Rate] [Extract] Compliance Rate 0 14 - HEDIS Comp Diab Care real Sum 39 false 33.277896539367681 0.83194741348419199 0.43333333333333335 0.98913043478260865 0.13004494194071789 0.12840909138863796 0.016911686924364688 0.016488894751255572 40 28.345015742171711 8 "double" HEDIS Measure Components 129 [HEDIS Measure Components] [Extract] HEDIS Measure Components 1 14 - HEDIS Comp Diab Care string Count 4 1 1073741823 false "Eye Exam (Retinal) Performed" "Medical Attention for Nephropathy" 40 "Hemoglobin A1c (HbA1c) Testing" "en_US_CI" true "heap" true "asc" 4294967292 0 "asc" 1 "str" HEDIS Measure 129 [HEDIS Measure] [Extract] HEDIS Measure 2 14 - HEDIS Comp Diab Care string Count 1 1 1073741823 false "Comprehensive Diabetes Care" "Comprehensive Diabetes Care" 40 "Comprehensive Diabetes Care" "en_US_CI" true "heap" true "asc" 4294967292 1 "str" Number of Records 16 [Number of Records] [Extract] Number of Records 3 integer Sum 1 false 40.0 1.0 1 1 0.0 0.0 0.0 0.0 40 1 40.0 "asc" 1 "sint8" Patients with Measure Performed 2 [Patients with Measure Performed] [Extract] Patients with Measure Performed 4 14 - HEDIS Comp Diab Care integer Sum 32 false 19435.0 485.875 250 735 136.53236443591513 134.81490783663355 18641.086538461539 18175.059375000001 40 10169983.0 2 "sint16" Patients with a Diagnosis of Diabetes 2 [Patients with a Diagnosis of Diabetes] [Extract] Patients with a Diagnosis of Diabetes 5 14 - HEDIS Comp Diab Care integer Sum 10 false 23540.0 588.5 350 800 149.40995058339766 147.53050532008626 22323.333333333332 21765.25 40 14723900.0 true "array" true 2 1 "sint16" Physician Group 129 [Physician Group] [Extract] Physician Group 6 14 - HEDIS Comp Diab Care string Count 10 1 1073741823 false "Practice A" "Practice J" 40 "en_US_CI" true "heap" true 4294967292 1 "asc" 1 "str" Target 5 [Target] [Extract] Target 7 14 - HEDIS Comp Diab Care real Sum 4 false 34.500000000000021 0.86250000000000049 0.72999999999999998 0.95999999999999996 0.094563775793413588 0.093374246984911841 0.008942307692306993 0.0087187499999993173 40 30.105000000000004 true "array" true 8 2 "asc" 1 "double" State 130 [State] [17 - Drug Overdose Deaths] State 0 string Count true "WSTR" Underlying Cause of Death 130 [Underlying Cause of Death] [17 - Drug Overdose Deaths] Underlying Cause of Death 1 string Count true "WSTR" Underlying Cause of Death Code 130 [Underlying Cause of Death Code] [17 - Drug Overdose Deaths] Underlying Cause of Death Code 2 string Count true "WSTR" Drug Overdose Deaths 130 [Drug Overdose Deaths] [17 - Drug Overdose Deaths] Drug Overdose Deaths 3 string Count true "WSTR" Census Region 130 [Census Region] [17 - Drug Overdose Deaths] Census Region 4 string Count true "WSTR" Census Division 130 [Census Division] [17 - Drug Overdose Deaths] Census Division 5 string Count true "WSTR" Report Date 7 [Report Date] [17 - Drug Overdose Deaths] Report Date 6 date Year true "DATE" 0 [17 - Drug Overdose Deaths] Count true 0 "A1:G7841:no:A1:G7841:0" true 2 Census Division 129 [Census Division] [Extract] Census Division 0 17 - Drug Overdose Deaths string Count 9 1 1073741823 false "East North Central" "West South Central" 7840 "en_US_CI" true "heap" true 4294967292 2 "asc" 1 "str" Census Region 129 [Census Region] [Extract] Census Region 1 17 - Drug Overdose Deaths string Count 4 1 1073741823 false "Midwest" "West" 7840 "en_US_CI" true "heap" true 4294967292 1 "asc" 1 "str" Drug Overdose Deaths 129 [Drug Overdose Deaths] [Extract] Drug Overdose Deaths 2 17 - Drug Overdose Deaths string Count 570 1 1073741823 false "10" "Suppressed" 7840 "en_US_CI" true "heap" true 4294967292 6 "asc" 2 "str" Number of Records 16 [Number of Records] [Extract] Number of Records 3 integer Sum 1 false 7840.0 1.0 1 1 0.0 0.0 0.0 0.0 7840 1 7840.0 "asc" 1 "sint8" Report Date 133 [Report Date] [Extract] Report Date 4 17 - Drug Overdose Deaths date Year 10 false #2006-12-31# #2015-12-31# 7840 #2011-12-31# true "array" true "asc" 4 0 "asc" 1 "date" State 129 [State] [Extract] State 5 17 - Drug Overdose Deaths string Count 49 1 1073741823 false "Alabama" "Wyoming" 7840 "Montana" "en_US_CI" true "heap" true 4294967292 5 "asc" 2 "str" Underlying Cause of Death Code 129 [Underlying Cause of Death Code] [Extract] Underlying Cause of Death Code 6 17 - Drug Overdose Deaths string Count 16 1 1073741823 false "X40" "Y14" 7840 "en_US_CI" true "heap" true 4294967292 3 "asc" 1 "str" Underlying Cause of Death 129 [Underlying Cause of Death] [Extract] Underlying Cause of Death 7 17 - Drug Overdose Deaths string Count 16 1 1073741823 false "Accidental poisoning by and exposure to antiepileptic, sedative-hypnotic, antiparkinsonism and psychotropic drugs, not elsewh" "Poisoning by and exposure to other drugs acting on the autonomic nervous system, undetermined intent" 7840 "en_US_CI" true "heap" true 4294967292 4 "asc" 2 "str" State Name 130 [State Name] [18 - Motor Vehicle Deaths] State Name 0 string Count true "WSTR" Census Region 130 [Census Region] [18 - Motor Vehicle Deaths] Census Region 1 string Count true "WSTR" Motor Vehicle Incident Deaths 20 [Motor Vehicle Incident Deaths] [18 - Motor Vehicle Deaths] Motor Vehicle Incident Deaths 2 integer Sum true "I8" Date 7 [Date] [18 - Motor Vehicle Deaths] Date 3 date Year true "DATE" Population 20 [Population] [18 - Motor Vehicle Deaths] Population 4 integer Sum true "I8" 0 [18 - Motor Vehicle Deaths] Count true 0 "A1:E491:no:A1:E491:0" true 6 Census Region 129 [Census Region] [Extract] Census Region 0 18 - Motor Vehicle Deaths string Count 4 1 1073741823 false "Midwest" "West" 490 "en_US_CI" true "heap" true 4294967292 1 "asc" 1 "str" Date 133 [Date] [Extract] Date 1 18 - Motor Vehicle Deaths date Year 10 false #2006-12-26# #2015-12-26# 490 #2011-12-26# true "array" true "asc" 4 0 "asc" 1 "date" Motor Vehicle Incident Deaths 2 [Motor Vehicle Incident Deaths] [Extract] Motor Vehicle Incident Deaths 2 18 - Motor Vehicle Deaths integer Sum 416 false 378820.0 773.10204081632651 30 4464 777.37003647906215 776.57639662286499 604304.17361545842 603070.89979175339 490 588371256.0 2 3 "asc" "sint16" Number of Records 16 [Number of Records] [Extract] Number of Records 3 integer Sum 1 false 490.0 1.0 1 1 0.0 0.0 0.0 0.0 490 1 490.0 "asc" 1 "sint8" Population 3 [Population] [Extract] Population 4 18 - Motor Vehicle Deaths integer Sum 490 false 3080329200.0 6286386.1224489799 522667 39144818 6877805.8062507585 6870784.0527036991 47304212708496.648 47207673498887.469 490 42495898749909224.0 4 true "sint32" State Name 129 [State Name] [Extract] State Name 5 18 - Motor Vehicle Deaths string Count 49 1 1073741823 false "Alabama" "Wyoming" 490 "Montana" "en_US_CI" true "heap" true 4294967292 2 "asc" 2 "str" Department 130 [Department] [08 - Department FTE Counts] Department 0 string Count true "WSTR" Budgeted FTE 20 [Budgeted FTE] [08 - Department FTE Counts] Budgeted FTE 1 integer Sum true "I8" Actual FTE 20 [Actual FTE] [08 - Department FTE Counts] Actual FTE 2 integer Sum true "I8" 0 [08 - Department FTE Counts] Count true 0 "A1:C6:no:A1:C6:0" true 6 Actual FTE 2 [Actual FTE] [Extract] Actual FTE 0 08 - Department FTE Counts integer Sum 5 false 790.0 158.0 40 375 137.41360922412306 122.90646850349252 18882.5 15106.0 5 200350.0 2 1 "asc" true "sint16" Budgeted FTE 2 [Budgeted FTE] [Extract] Budgeted FTE 1 08 - Department FTE Counts integer Sum 5 false 825.0 165.0 35 450 167.66782637107215 149.96666296213968 28112.5 22490.0 5 248575.0 2 true "sint16" Department 129 [Department] [Extract] Department 2 08 - Department FTE Counts string Count 5 1 1073741823 false "Administration" "Radiology" 5 "Nursing" "en_US_CI" true "heap" true "asc" 4294967292 0 "asc" 1 true "str" Number of Records 16 [Number of Records] [Extract] Number of Records 3 integer Sum 1 false 5.0 1.0 1 1 0.0 0.0 0.0 0.0 5 1 5.0 "asc" 1 "sint8" WHO region 130 [WHO region] [03 - WHO Life Expect & Mort] WHO region 0 string Count true "WSTR" Country 130 [Country] [03 - WHO Life Expect & Mort] Country 1 string Count true "WSTR" Year 20 [Year] [03 - WHO Life Expect & Mort] Year 2 integer Sum true "I8" Sex 130 [Sex] [03 - WHO Life Expect & Mort] Sex 3 string Count true "WSTR" Life Expectancy at Birth (years)(2015) 5 [Life Expectancy at Birth (years)(2015)] [03 - WHO Life Expect & Mort] Life Expectancy at Birth (years)(2015) 4 real Sum 15 true "R8" Neonatal Mortality Rate (per 1,000 Live Births)(2015) 5 [Neonatal Mortality Rate (per 1,000 Live Births)(2015)] [03 - WHO Life Expect & Mort] Neonatal Mortality Rate (per 1,000 Live Births)(2015) 5 real Sum 15 true "R8" Under-Five Mortality Rate (Probability of Dying by Age 5 per 1,000 Live Births)(2015) 5 [Under-Five Mortality Rate (Probability of Dying by Age 5 per 1,000 Live Births)(2015)] [03 - WHO Life Expect & Mort] Under-Five Mortality Rate (Probability of Dying by Age 5 per 1,000 Live Births)(2015) 6 real Sum 15 true "R8" Health Expenditure per Capita (US$)(2014) 5 [Health Expenditure per Capita (US$)(2014)] [03 - WHO Life Expect & Mort] Health Expenditure per Capita (US$)(2014) 7 real Sum 15 true "R8" 0 [03 - WHO Life Expect & Mort] Count true 0 "A1:H136:no:A1:H136:0" true 2 Country 129 [Country] [Extract] Country 0 03 - WHO Life Expect & Mort string Count 135 1 1073741823 false "Afghanistan" "Yemen" 135 "Lebanon" "en_US_CI" true "heap" true 4294967292 1 "asc" 2 true "str" Health Expenditure per Capita (US$)(2014) 5 [Health Expenditure per Capita (US$)(2014)] [Extract] Health Expenditure per Capita (US$)(2014) 1 03 - WHO Life Expect & Mort real Sum 135 false 155651.81900685004 1152.9764370877781 15.5874302 9673.5235346000009 1985.0340589578352 1977.6684155278724 3940360.2152226185 3911172.3617765252 135 707471148.54458058 8 true "double" Life Expectancy at Birth (years)(2015) 5 [Life Expectancy at Birth (years)(2015)] [Extract] Life Expectancy at Birth (years)(2015) 2 03 - WHO Life Expect & Mort real Sum 135 false 9694.3702199999971 71.810149777777752 50.070900000000002 83.684370000000001 7.8452780924807994 7.8161674982432121 61.548388348359175 61.092474360593549 135 704401.66153810814 8 true "double" Neonatal Mortality Rate (per 1,000 Live Births)(2015) 5 [Neonatal Mortality Rate (per 1,000 Live Births)(2015)] [Extract] Neonatal Mortality Rate (per 1,000 Live Births)(2015) 3 03 - WHO Life Expect & Mort real Sum 104 false 1806.6999999999996 13.38296296296296 0.90000000000000002 48.700000000000003 11.215784058676284 11.174166905665295 125.79381205085706 124.86200603566553 135 41035.370000000024 true "array" true 8 2 "asc" 1 "double" Number of Records 16 [Number of Records] [Extract] Number of Records 4 integer Sum 1 false 135.0 1.0 1 1 0.0 0.0 0.0 0.0 135 1 135.0 "asc" 1 "sint8" Sex 129 [Sex] [Extract] Sex 5 03 - WHO Life Expect & Mort string Count 1 1 1073741823 false "Both sexes" "Both sexes" 135 "Both sexes" "en_US_CI" true "heap" true "asc" 4294967292 1 "str" Under-Five Mortality Rate (Probability of Dying by Age 5 per 1,000 Live Births)(2015) 5 [Under-Five Mortality Rate (Probability of Dying by Age 5 per 1,000 Live Births)(2015)] [Extract] Under-Five Mortality Rate (Probability of Dying by Age 5 per 1,000 Live Births)(2015) 6 03 - WHO Life Expect & Mort real Sum 123 false 4190.3999999999978 31.039999999999985 2.0 156.89999 31.802478485033959 31.684472592060612 1011.3976377910478 1003.90580343704 135 265597.29946400027 8 "double" WHO region 129 [WHO region] [Extract] WHO region 7 03 - WHO Life Expect & Mort string Count 6 1 1073741823 false "Africa" "Western Pacific" 135 "Eastern Mediterranean" "en_US_CI" true "heap" true "asc" 4294967292 0 "asc" 1 "str" Year 2 [Year] [Extract] Year 8 03 - WHO Life Expect & Mort integer Sum 1 false 272025.0 2015.0 2015 2015 0.0 0.0 0.0 0.0 135 2015 548130375.0 true "array" true "asc" 2 1 "sint16" State 130 [State] [13 - Cancer Deaths by State] State 0 string Count true "WSTR" Gender 130 [Gender] [13 - Cancer Deaths by State] Gender 1 string Count true "WSTR" Year 20 [Year] [13 - Cancer Deaths by State] Year 2 integer Sum true "I8" Deaths (count) 20 [Deaths (count)] [13 - Cancer Deaths by State] Deaths (count) 3 integer Sum true "I8" Population (count) 20 [Population (count)] [13 - Cancer Deaths by State] Population (count) 4 integer Sum true "I8" Crude Death Rate 5 [Crude Death Rate] [13 - Cancer Deaths by State] Crude Death Rate 5 real Sum 15 true "R8" 0 [13 - Cancer Deaths by State] Count true 0 "A1:F52:no:A1:F52:0" true 2 Crude Death Rate 5 [Crude Death Rate] [Extract] Crude Death Rate 0 13 - Cancer Deaths by State real Sum 50 false 9700.0 190.19607843137254 102.3 254.5 28.395393716476789 28.115629320224787 806.29838431372946 790.48861207228379 51 1885216.8800000001 8 1 "asc" "double" Deaths (count) 3 [Deaths (count)] [Extract] Deaths (count) 1 13 - Cancer Deaths by State integer Sum 51 false 584872.0 11468.078431372549 946 57714 11795.974965797675 11679.755629398929 139145025.39372548 136416691.56247598 51 13664609238.0 4 true "sint32" Gender 129 [Gender] [Extract] Gender 2 13 - Cancer Deaths by State string Count 1 1 1073741823 false "Both" "Both" 51 "Both" "en_US_CI" true "heap" true "asc" 4294967292 1 "str" Number of Records 16 [Number of Records] [Extract] Number of Records 3 integer Sum 1 false 51.0 1.0 1 1 0.0 0.0 0.0 0.0 51 1 51.0 "asc" 1 "sint8" Population (count) 3 [Population (count)] [Extract] Population (count) 4 13 - Cancer Deaths by State integer Sum 51 false 316497531.0 6205833.9411764704 583223 38431393 7051230.6509340722 6981758.7039841879 49719853692672.141 48744954600658.961 51 4450123804811959.0 4 true "sint32" State 129 [State] [Extract] State 5 13 - Cancer Deaths by State string Count 51 1 1073741823 false "Alabama" "Wyoming" 51 "Missouri" "en_US_CI" true "heap" true "asc" 4294967292 0 "asc" 2 true "str" Year 2 [Year] [Extract] Year 6 13 - Cancer Deaths by State integer Sum 1 false 102663.0 2013.0 2013 2013 0.0 0.0 0.0 0.0 51 2013 206660619.0 true "array" true "asc" 2 1 "sint16" Root Cause of Repeat of Laboratory Samples 130 [Root Cause of Repeat of Laboratory Samples] [15 - Repeat Lab Samples] Root Cause of Repeat of Laboratory Samples 0 string Count true "WSTR" Count 20 [Count] [15 - Repeat Lab Samples] Count 1 integer Sum true "I8" 0 [15 - Repeat Lab Samples] Count true 0 "A1:B13:no:A1:B13:0" true 6 Count 16 [Count] [Extract] Count 0 15 - Repeat Lab Samples integer Sum 10 false 208.0 17.333333333333332 2 58 19.44845557473457 18.620478571245751 378.24242424242425 346.72222222222223 12 7 7766.0 1 1 "asc" "sint8" Number of Records 16 [Number of Records] [Extract] Number of Records 1 integer Sum 1 false 12.0 1.0 1 1 0.0 0.0 0.0 0.0 12 1 12.0 "asc" 1 "sint8" Root Cause of Repeat of Laboratory Samples 129 [Root Cause of Repeat of Laboratory Samples] [Extract] Root Cause of Repeat of Laboratory Samples 2 15 - Repeat Lab Samples string Count 12 1 1073741823 false "Change in Patient ID" "Wrong Test Ordered" 12 "Incomplete Entries" "en_US_CI" true "heap" true "asc" 4294967292 0 "asc" 2 true "str" Patient ID 20 [Patient ID] [04 - Clinic Patients Metrics] Patient ID 0 integer Sum true "I8" BP (diastolic) 20 [BP (diastolic)] [04 - Clinic Patients Metrics] BP (diastolic) 1 integer Sum true "I8" BP (systolic) 20 [BP (systolic)] [04 - Clinic Patients Metrics] BP (systolic) 2 integer Sum true "I8" Height (cm) 5 [Height (cm)] [04 - Clinic Patients Metrics] Height (cm) 3 real Sum 15 true "R8" Weight (kg) 20 [Weight (kg)] [04 - Clinic Patients Metrics] Weight (kg) 4 integer Sum true "I8" Age 20 [Age] [04 - Clinic Patients Metrics] Age 5 integer Sum true "I8" 0 [04 - Clinic Patients Metrics] Count true 0 "A1:F251:no:A1:F251:0" true 6 Age 16 [Age] [Extract] Age 0 04 - Clinic Patients Metrics integer Sum 61 false 14056.0 56.223999999999997 25 85 16.028270205581528 15.996181544356141 256.90544578313251 255.877824 250 854254.0 1 "sint8" BP (diastolic) 16 [BP (diastolic)] [Extract] BP (diastolic) 1 04 - Clinic Patients Metrics integer Sum 42 false 20888.0 83.552000000000007 60 110 9.988311240934733 9.9683146017769726 99.766361445783133 99.367295999999996 250 1770076.0 1 1 "asc" "sint8" BP (systolic) 2 [BP (systolic)] [Extract] BP (systolic) 2 04 - Clinic Patients Metrics integer Sum 81 false 34508.0 138.03200000000001 90 201 23.989936310392881 23.941908361699156 575.5170441767068 573.21497599999998 250 4906512.0 true "array" true 2 1 "sint16" Height (cm) 5 [Height (cm)] [Extract] Height (cm) 3 04 - Clinic Patients Metrics real Sum 64 false 47433.900000000045 189.73560000000018 152.0 220.00000000000003 14.859393626786023 14.82964506115861 220.80157895576906 219.91837263994597 250 9054879.070000004 true "array" true 8 1 "double" Number of Records 16 [Number of Records] [Extract] Number of Records 4 integer Sum 1 false 250.0 1.0 1 1 0.0 0.0 0.0 0.0 250 1 250.0 "asc" 1 "sint8" Patient ID 2 [Patient ID] [Extract] Patient ID 5 04 - Clinic Patients Metrics integer Sum 250 false 31375.0 125.5 1 250 72.312977166388791 72.168206296124609 5229.166666666667 5208.25 250 126 5239625.0 "asc" 2 0 "asc" true "sint16" Weight (kg) 2 [Weight (kg)] [Extract] Weight (kg) 6 04 - Clinic Patients Metrics integer Sum 82 false 24550.0 98.200000000000003 53 150 27.433307226463349 27.378385635387634 752.58634538152614 749.57600000000002 250 2598204.0 true "array" true 2 1 "sint16" Date/Time 7 [Date/Time] [10 - Patient 24-Hr Vital Signs] Date/Time 0 datetime Year true "DATE" Heart Rate 20 [Heart Rate] [10 - Patient 24-Hr Vital Signs] Heart Rate 1 integer Sum true "I8" Respiratory Rate 20 [Respiratory Rate] [10 - Patient 24-Hr Vital Signs] Respiratory Rate 2 integer Sum true "I8" Systolic BP 20 [Systolic BP] [10 - Patient 24-Hr Vital Signs] Systolic BP 3 integer Sum true "I8" Diastolic BP 20 [Diastolic BP] [10 - Patient 24-Hr Vital Signs] Diastolic BP 4 integer Sum true "I8" Oxygen Saturation 5 [Oxygen Saturation] [10 - Patient 24-Hr Vital Signs] Oxygen Saturation 5 real Sum 15 true "R8" 0 [10 - Patient 24-Hr Vital Signs] Count true 0 "A1:F97:no:A1:F97:0" true 6 Date/Time 135 [Date/Time] [Extract] Date/Time 0 10 - Patient 24-Hr Vital Signs datetime Year 96 false #2017-01-01 00:00:00# #2017-01-01 23:45:00# 96 #2017-01-01 12:00:00# "asc" 8 0 "asc" true "datetime" Diastolic BP 16 [Diastolic BP] [Extract] Diastolic BP 1 10 - Patient 24-Hr Vital Signs integer Sum 21 false 6656.0 69.333333333333329 52 92 9.8778504657927169 9.826268648655784 97.571929824561408 96.555555555555557 96 470752.0 1 "sint8" Heart Rate 16 [Heart Rate] [Extract] Heart Rate 2 10 - Patient 24-Hr Vital Signs integer Sum 23 false 7262.0 75.645833333333329 56 126 14.159972618667153 14.086029697501312 200.5048245614035 198.41623263888889 96 568388.0 1 "sint8" Number of Records 16 [Number of Records] [Extract] Number of Records 3 integer Sum 1 false 96.0 1.0 1 1 0.0 0.0 0.0 0.0 96 1 96.0 "asc" 1 "sint8" Oxygen Saturation 5 [Oxygen Saturation] [Extract] Oxygen Saturation 4 10 - Patient 24-Hr Vital Signs real Sum 10 false 94.6099999999999 0.98552083333333229 0.91000000000000003 1.0 0.019187155334373231 0.019086960626904945 0.00036814692982536717 0.00036431206597301963 96 93.275099999999867 true "array" true 8 1 "double" Respiratory Rate 16 [Respiratory Rate] [Extract] Respiratory Rate 5 10 - Patient 24-Hr Vital Signs integer Sum 8 false 1598.0 16.645833333333332 12 26 2.8059304364212396 2.7912779580129401 7.8732456140350875 7.7912326388888893 96 27348.0 1 1 "asc" "sint8" Systolic BP 2 [Systolic BP] [Extract] Systolic BP 6 10 - Patient 24-Hr Vital Signs integer Sum 27 false 11114.0 115.77083333333333 86 170 21.933621951921769 21.819085284193033 481.08377192982454 476.07248263888891 96 1332380.0 true "array" true 2 1 "sint16" Date 7 [Date] [09 - Patient Volume YOY Change] Date 0 date Year true "DATE" Patient Visits 20 [Patient Visits] [09 - Patient Volume YOY Change] Patient Visits 1 integer Sum true "I8" 0 [09 - Patient Volume YOY Change] Count true 0 "A1:B25:no:A1:B25:0" true 2 Date 133 [Date] [Extract] Date 0 09 - Patient Volume YOY Change date Year 24 false #2015-01-31# #2016-12-31# 24 #2016-01-31# "asc" 4 0 "asc" true "date" Number of Records 16 [Number of Records] [Extract] Number of Records 1 integer Sum 1 false 24.0 1.0 1 1 0.0 0.0 0.0 0.0 24 1 24.0 "asc" 1 "sint8" Patient Visits 2 [Patient Visits] [Extract] Patient Visits 2 09 - Patient Volume YOY Change integer Sum 23 false 58655.0 2443.9583333333335 2231 2618 108.35869547045115 106.07720426127797 11741.606884057972 11252.373263888889 24 143620433.0 2 1 "asc" "sint16" Date 7 [Date] [05 - Flu Occurrence FY2013-2016] Date 0 date Year true "DATE" Tests (+) for Influenza (count) 20 [Tests (+) for Influenza (count)] [05 - Flu Occurrence FY2013-2016] Tests (+) for Influenza (count) 1 integer Sum true "I8" Total Respiratory Specimens Tested (count) 20 [Total Respiratory Specimens Tested (count)] [05 - Flu Occurrence FY2013-2016] Total Respiratory Specimens Tested (count) 2 integer Sum true "I8" % Tests (+) for Influenza 5 [% Tests (+) for Influenza] [05 - Flu Occurrence FY2013-2016] % Tests (+) for Influenza 3 real Sum 15 true "R8" 0 [05 - Flu Occurrence FY2013-2016] Count true 0 "A1:D49:no:A1:D49:0" true 6 % Tests (+) for Influenza 5 [% Tests (+) for Influenza] [Extract] % Tests (+) for Influenza 0 05 - Flu Occurrence FY2013-2016 real Sum 48 false 4.7491460147859677 0.098940541974707655 0.0087803539580189327 0.33543781773465503 0.090958987646832135 0.090006511267428396 0.0082735374337365598 0.0081011720705337145 48 0.85873934000556496 8 1 "asc" true "double" Date 133 [Date] [Extract] Date 1 05 - Flu Occurrence FY2013-2016 date Year 48 false #2012-10-27# #2016-09-24# 48 #2014-10-25# "asc" 4 0 "asc" true "date" Number of Records 16 [Number of Records] [Extract] Number of Records 2 integer Sum 1 false 48.0 1.0 1 1 0.0 0.0 0.0 0.0 48 1 48.0 "asc" 1 "sint8" Tests (+) for Influenza (count) 3 [Tests (+) for Influenza (count)] [Extract] Tests (+) for Influenza (count) 3 05 - Flu Occurrence FY2013-2016 integer Sum 48 false 322017.0 6708.6875 256 38719 9663.0880513167212 9561.9010948752803 93375270.6875 91429952.548177078 48 6548949145.0 4 true "sint32" Total Respiratory Specimens Tested (count) 3 [Total Respiratory Specimens Tested (count)] [Extract] Total Respiratory Specimens Tested (count) 4 05 - Flu Occurrence FY2013-2016 integer Sum 48 false 2327585.0 48491.354166666664 7927 169856 36520.507964406519 36138.083730146318 1333747501.9782801 1305961095.6870661 48 175553881181.0 4 true "sint32" Pt ID 20 [Pt ID] [12 - Clinic Patients Demogr] Pt ID 0 integer Sum true "I8" Gender 130 [Gender] [12 - Clinic Patients Demogr] Gender 1 string Count true "WSTR" Race 130 [Race] [12 - Clinic Patients Demogr] Race 2 string Count true "WSTR" Age 20 [Age] [12 - Clinic Patients Demogr] Age 3 integer Sum true "I8" 0 [12 - Clinic Patients Demogr] Count true 0 "A1:D168:no:A1:D168:0" true 6 Age 16 [Age] [Extract] Age 0 12 - Clinic Patients Demogr integer Sum 25 false 11541.0 69.107784431137731 38 88 10.459347545893111 10.427985113835193 109.39795108578025 108.74287353436839 167 815733.0 1 3 "asc" "sint8" Gender 129 [Gender] [Extract] Gender 1 12 - Clinic Patients Demogr string Count 2 1 1073741823 false "F" "M" 167 "M" "en_US_CI" true "heap" true "asc" 4294967292 0 "asc" 1 "str" Number of Records 16 [Number of Records] [Extract] Number of Records 2 integer Sum 1 false 167.0 1.0 1 1 0.0 0.0 0.0 0.0 167 1 167.0 "asc" 1 "sint8" Pt ID 2 [Pt ID] [Extract] Pt ID 3 12 - Clinic Patients Demogr integer Sum 167 false 14028.0 84.0 1 167 48.352869614946329 48.207883172775801 2338.0 2324.0 167 84 1566460.0 2 2 "asc" true "sint16" Race 129 [Race] [Extract] Race 4 12 - Clinic Patients Demogr string Count 4 1 1073741823 false "As" "W" 167 "en_US_CI" true "heap" true 4294967292 1 "asc" 1 "str" Categories 130 [Categories] [11 - US Healthcare Expenditures] Categories 0 string Count true "WSTR" Type of Service/Source of Funds 130 [Type of Service/Source of Funds] [11 - US Healthcare Expenditures] Type of Service/Source of Funds 1 string Count true "WSTR" Date 7 [Date] [11 - US Healthcare Expenditures] Date 2 date Year true "DATE" Cost ($) 20 [Cost ($)] [11 - US Healthcare Expenditures] Cost ($) 3 integer Sum true "I8" 0 [11 - US Healthcare Expenditures] Count true 0 "A1:D1153:no:A1:D1153:0" true 6 Categories 129 [Categories] [Extract] Categories 0 11 - US Healthcare Expenditures string Count 4 false Cost ($) 20 [Cost ($)] [Extract] Cost ($) 1 11 - US Healthcare Expenditures integer Sum 1132 false Date 133 [Date] [Extract] Date 2 11 - US Healthcare Expenditures date Year 36 false Number of Records 2 [Number of Records] [Extract] Number of Records 3 integer Sum 1 false Type of Service/Source of Funds 129 [Type of Service/Source of Funds] [Extract] Type of Service/Source of Funds 4 11 - US Healthcare Expenditures string Count 11 false "[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):qk]" "[federated.0fxswf20jpptyx1g2ffot1a097rq]" "[federated.0fxswf20jpptyx1g2ffot1a097rq].[__tableau_internal_object_id__].[cnt:Migrated Data:qk]" Case Number 20 [Case Number] [16 - Operating Room Data] Case Number 0 integer Sum true "I8" Add-on vs Scheduled Flag 130 [Add-on vs Scheduled Flag] [16 - Operating Room Data] Add-on vs Scheduled Flag 1 string Count true "WSTR" Hospital 130 [Hospital] [16 - Operating Room Data] Hospital 2 string Count true "WSTR" Primary Surgeon 130 [Primary Surgeon] [16 - Operating Room Data] Primary Surgeon 3 string Count true "WSTR" Operating Room 130 [Operating Room] [16 - Operating Room Data] Operating Room 4 string Count true "WSTR" In Room Date 7 [In Room Date] [16 - Operating Room Data] In Room Date 5 date Year true "DATE" In Room Date/Time 7 [In Room Date/Time] [16 - Operating Room Data] In Room Date/Time 6 datetime Year true "DATE" Out of Room Date/Time 7 [Out of Room Date/Time] [16 - Operating Room Data] Out of Room Date/Time 7 datetime Year true "DATE" Scheduled Start Date/Time 7 [Scheduled Start Date/Time] [16 - Operating Room Data] Scheduled Start Date/Time 8 datetime Year true "DATE" Scheduled Stop Date/Time 7 [Scheduled Stop Date/Time] [16 - Operating Room Data] Scheduled Stop Date/Time 9 datetime Year true "DATE" Service 130 [Service] [16 - Operating Room Data] Service 10 string Count true "WSTR" Room Minutes Actual 20 [Room Minutes Actual] [16 - Operating Room Data] Room Minutes Actual 11 integer Sum true "I8" Room Minutes Scheduled 20 [Room Minutes Scheduled] [16 - Operating Room Data] Room Minutes Scheduled 12 integer Sum true "I8" Turnover (minutes) 20 [Turnover (minutes)] [16 - Operating Room Data] Turnover (minutes) 13 integer Sum true "I8" 0 [16 - Operating Room Data] Count true 0 "A1:N592:no:A1:N592:0" true 6 Add-on vs Scheduled Flag 129 [Add-on vs Scheduled Flag] [Extract] Add-on vs Scheduled Flag 0 16 - Operating Room Data string Count 2 false Case Number 2 [Case Number] [Extract] Case Number 1 16 - Operating Room Data integer Sum 591 false Hospital 129 [Hospital] [Extract] Hospital 2 16 - Operating Room Data string Count 3 false In Room Date/Time 135 [In Room Date/Time] [Extract] In Room Date/Time 3 16 - Operating Room Data datetime Year 589 false In Room Date 133 [In Room Date] [Extract] In Room Date 4 16 - Operating Room Data date Year 61 false Number of Records 2 [Number of Records] [Extract] Number of Records 5 integer Sum 1 false Operating Room 129 [Operating Room] [Extract] Operating Room 6 16 - Operating Room Data string Count 5 false Out of Room Date/Time 135 [Out of Room Date/Time] [Extract] Out of Room Date/Time 7 16 - Operating Room Data datetime Year 588 false Primary Surgeon 129 [Primary Surgeon] [Extract] Primary Surgeon 8 16 - Operating Room Data string Count 34 false Room Minutes Actual 2 [Room Minutes Actual] [Extract] Room Minutes Actual 9 16 - Operating Room Data integer Sum 181 false Room Minutes Scheduled 2 [Room Minutes Scheduled] [Extract] Room Minutes Scheduled 10 16 - Operating Room Data integer Sum 11 false Scheduled Start Date/Time 135 [Scheduled Start Date/Time] [Extract] Scheduled Start Date/Time 11 16 - Operating Room Data datetime Year 471 false Scheduled Stop Date/Time 135 [Scheduled Stop Date/Time] [Extract] Scheduled Stop Date/Time 12 16 - Operating Room Data datetime Year 512 false Service 129 [Service] [Extract] Service 13 16 - Operating Room Data string Count 3 false Turnover (minutes) 2 [Turnover (minutes)] [Extract] Turnover (minutes) 14 16 - Operating Room Data integer Sum 25 true Preoperative Risk Factors 130 [Preoperative Risk Factors] [01 - Preoperative Risk Factors] Preoperative Risk Factors 0 string Count true "WSTR" Risk Factors (count) 20 [Risk Factors (count)] [01 - Preoperative Risk Factors] Risk Factors (count) 1 integer Sum true "I8" Surgical Cases (count) 20 [Surgical Cases (count)] [01 - Preoperative Risk Factors] Surgical Cases (count) 2 integer Sum true "I8" Hospital % 5 [Hospital %] [01 - Preoperative Risk Factors] Hospital % 3 real Sum 15 true "R8" Comparison % 5 [Comparison %] [01 - Preoperative Risk Factors] Comparison % 4 real Sum 15 true "R8" 0 [01 - Preoperative Risk Factors] Count true 0 "A1:E18:no:A1:E18:0" true 6 Comparison % 5 [Comparison %] [Extract] Comparison % 0 01 - Preoperative Risk Factors real Sum 14 false Hospital % 5 [Hospital %] [Extract] Hospital % 1 01 - Preoperative Risk Factors real Sum 16 false Number of Records 2 [Number of Records] [Extract] Number of Records 2 integer Sum 1 false Preoperative Risk Factors 129 [Preoperative Risk Factors] [Extract] Preoperative Risk Factors 3 01 - Preoperative Risk Factors string Count 17 false Risk Factors (count) 2 [Risk Factors (count)] [Extract] Risk Factors (count) 4 01 - Preoperative Risk Factors integer Sum 16 false Surgical Cases (count) 2 [Surgical Cases (count)] [Extract] Surgical Cases (count) 5 01 - Preoperative Risk Factors integer Sum 1 false Health Expenditure Costs by Category [federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):qk] [federated.0fxswf20jpptyx1g2ffot1a097rq].[none:Categories:nk] Preoperative Risk Factor Rate: Hospital vs Comparison [federated.1ua7qvr1jsag5t1euav5z1latpiv].[none:Preoperative Risk Factors:nk] ([federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Comparison %:qk] + [federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Hospital %:qk]) [federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok] [federated.0fxswf20jpptyx1g2ffot1a097rq].[none:Type of Service/Source of Funds:nk] [federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):qk] 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Data/10.0/07 - Teenage Obesity Rates.tde
Data/10.0/06 - Patient Readmission Days.tde
Data/10.0/02 - Patient Falls - Single Hospital.tde
Data/10.0/19 - Opioid Deaths.tde
Data/10.0/14 - HEDIS Comprehensive Diabetes Care.tde
Data/10.0/17 - Drug Overdose Deaths.tde
Data/10.0/18 - Motor Vehicle Incident Deaths.tde
Data/10.0/08 - Department FTE Counts.tde
Data/10.0/03 - WHO Life Expectancy, Mortality, & Health Expenditure.tde
Data/10.0/13 - Cancer Deaths by State.tde
Data/10.0/15 - Repeat Lab Samples.tde
Data/10.0/04 - Clinic Patients Metrics.tde
Data/10.0/10 - Patient 24-Hour Vital Signs.tde
Data/10.0/09 - Patient Volume YOY Change.tde
Data/10.0/05 - Flu Occurrences FY2013 - FY2016.tde
Data/Tableau 10 Training Workbook - New.twb Files/12 - Clinic Patients Demographics.tde
Data/10.0/11 - US Healthcare Expenditures.tde
Data/10.0/16 - Operating Room Data.tde
Data/10.0/01 - Preoperative Risk Factors.tde
TwbxExternalCache/TwbxTimestampsCacheV3/2444319181/.bin
TwbxExternalCache/TwbxTimestampsCacheV3/2444319181/.key
<pack authentication='auth-none' author-locale='en_US' class='hyper' db-format='dataengine' dbname='Data/10.0/11 - US Healthcare Expenditures.tde' default-settings='yes' ec-abstract-query='<aq-cache-key are-all-local-sorts-supported='true' has-agg-measure-filters='false' has-lod-calcs='false' has-user-reference='false' ind-join-semantics='false' start-of-week='sunday' version='19.4'> <query aggregation='true' caching='normal' hierarchize-rows='false' include-empty='false'> <fields> <field column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' /> </fields> </query> <relation-xml>&lt;relation name=&apos;Extract&apos; table=&apos;[Extract].[Extract]&apos; type=&apos;table&apos; /&gt;&#10;</relation-xml> <relation-names> <relation-name key='[Categories]' value='[Extract].[Categories]' /> <relation-name key='[Cost ($)]' value='[Extract].[Cost ($)]' /> <relation-name key='[Date]' value='[Extract].[Date]' /> <relation-name key='[Number of Records]' value='[Extract].[Number of Records]' /> <relation-name key='[Type of Service/Source of Funds]' value='[Extract].[Type of Service/Source of Funds]' /> </relation-names> <bindings> <binding key='[Categories]' value='Categories' /> <binding key='[sum:Cost ($):ok]' value='sum:Cost ($):ok' /> </bindings> <lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]</column> </lod> <measure-filter-lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]</column> </measure-filter-lod> <output> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]</column> </output> <aggregates /> <slicers /> <filtered /> <local-filters /> <unnamed-calcs /> <calculations> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' formula='SUM([Cost ($)])' /> </calculations> <agg-types> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]' type='None' /> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='Sum' /> </agg-types> <data-types> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]' type='string' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' type='integer' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='integer' /> </data-types> <current-user display-name='' name='' short-domain-qualified-name='' type='user' /> </aq-cache-key> ' ec-data-ts='2124632921660000' sslmode='' username='tableau_internal_user'> </pack>
TwbxExternalCache/TwbxTimestampsCacheV3/4187681985/.bin
TwbxExternalCache/TwbxTimestampsCacheV3/4187681985/.key
<pack authentication='auth-none' author-locale='en_US' class='hyper' db-format='dataengine' dbname='Data/10.0/11 - US Healthcare Expenditures.tde' default-settings='yes' ec-abstract-query='<aq-cache-key are-all-local-sorts-supported='true' has-agg-measure-filters='false' has-lod-calcs='false' has-user-reference='false' ind-join-semantics='false' start-of-week='sunday' version='19.4'> <query aggregation='true' caching='normal' hierarchize-rows='false' include-empty='false'> <fields> <field column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' /> <field column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]' /> <filter class='categorical' column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]'> <groupfilter function='union' user:ui-domain='relevant' user:ui-enumeration='inclusive' user:ui-marker='enumerate'> <groupfilter function='member' level='[Type of Service/Source of Funds]' member='&quot;Medicaid&quot;' /> <groupfilter function='member' level='[Type of Service/Source of Funds]' member='&quot;Medicare&quot;' /> </groupfilter> </filter> <filter class='categorical' column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]'> <groupfilter from='1980' function='range' level='[yr:Date:ok]' to='2015' user:ui-domain='relevant' user:ui-enumeration='inclusive' user:ui-marker='enumerate' /> </filter> </fields> </query> <relation-xml>&lt;relation name=&apos;Extract&apos; table=&apos;[Extract].[Extract]&apos; type=&apos;table&apos; /&gt;&#10;</relation-xml> <relation-names> <relation-name key='[Categories]' value='[Extract].[Categories]' /> <relation-name key='[Cost ($)]' value='[Extract].[Cost ($)]' /> <relation-name key='[Date]' value='[Extract].[Date]' /> <relation-name key='[Number of Records]' value='[Extract].[Number of Records]' /> <relation-name key='[Type of Service/Source of Funds]' value='[Extract].[Type of Service/Source of Funds]' /> </relation-names> <bindings> <binding key='[Type of Service/Source of Funds]' value='Type of Service/Source of Funds' /> <binding key='[sum:Cost ($):ok]' value='sum:Cost ($):ok' /> <binding key='[tyr:Date:ok]' value='tyr:Date:ok' /> </bindings> <lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]</column> </lod> <measure-filter-lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]</column> </measure-filter-lod> <output> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]</column> </output> <aggregates /> <slicers> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </slicers> <filtered> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> </filtered> <local-filters> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </local-filters> <unnamed-calcs /> <calculations> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Date]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' formula='SUM([Cost ($)])' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]' formula='DATETRUNC(&apos;year&apos;, [Date])' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' formula='DATEPART(&apos;year&apos;, [Date])' /> </calculations> <agg-types> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' type='None' /> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='Sum' /> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]' type='None' /> </agg-types> <data-types> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' type='integer' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Date]' type='date' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' type='string' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='integer' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]' type='datetime' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' type='integer' /> </data-types> <current-user display-name='' name='' short-domain-qualified-name='' type='user' /> </aq-cache-key> ' ec-data-ts='2124632921660000' sslmode='' username='tableau_internal_user'> </pack>
TwbxExternalCache/TwbxTimestampsCacheV3/1381530037/.bin
TwbxExternalCache/TwbxTimestampsCacheV3/1381530037/.key
<pack authentication='auth-none' author-locale='en_US' class='hyper' db-format='dataengine' dbname='Data/10.0/01 - Preoperative Risk Factors.tde' default-settings='yes' ec-abstract-query='<aq-cache-key are-all-local-sorts-supported='true' has-agg-measure-filters='false' has-lod-calcs='false' has-user-reference='false' ind-join-semantics='false' start-of-week='sunday' version='19.4'> <query aggregation='true' caching='normal' hierarchize-rows='false' include-empty='false'> <fields> <field column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]' /> <output column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]' /> <output column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Comparison %:ok]' /> <output column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Hospital %:ok]' /> </fields> </query> <relation-xml>&lt;relation name=&apos;Extract&apos; table=&apos;[Extract].[Extract]&apos; type=&apos;table&apos; /&gt;&#10;</relation-xml> <relation-names> <relation-name key='[Comparison %]' value='[Extract].[Comparison %]' /> <relation-name key='[Hospital %]' value='[Extract].[Hospital %]' /> <relation-name key='[Number of Records]' value='[Extract].[Number of Records]' /> <relation-name key='[Preoperative Risk Factors]' value='[Extract].[Preoperative Risk Factors]' /> <relation-name key='[Risk Factors (count)]' value='[Extract].[Risk Factors (count)]' /> <relation-name key='[Surgical Cases (count)]' value='[Extract].[Surgical Cases (count)]' /> </relation-names> <bindings> <binding key='[Preoperative Risk Factors]' value='Preoperative Risk Factors' /> <binding key='[sum:Comparison %:ok]' value='sum:Comparison %:ok' /> <binding key='[sum:Hospital %:ok]' value='sum:Hospital %:ok' /> </bindings> <lod> <column>[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]</column> </lod> <measure-filter-lod> <column>[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]</column> </measure-filter-lod> <output> <column>[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]</column> <column>[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Comparison %:ok]</column> <column>[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Hospital %:ok]</column> </output> <aggregates /> <slicers /> <filtered /> <local-filters /> <unnamed-calcs /> <calculations> <calculation column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Comparison %]' formula='' /> <calculation column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Hospital %]' formula='' /> <calculation column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]' formula='' /> <calculation column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Comparison %:ok]' formula='SUM([Comparison %])' /> <calculation column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Hospital %:ok]' formula='SUM([Hospital %])' /> </calculations> <agg-types> <agg-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]' type='None' /> <agg-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Comparison %:ok]' type='Sum' /> <agg-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Hospital %:ok]' type='Sum' /> </agg-types> <data-types> <data-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Comparison %]' type='real' /> <data-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Hospital %]' type='real' /> <data-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]' type='string' /> <data-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Comparison %:ok]' type='real' /> <data-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Hospital %:ok]' type='real' /> </data-types> <current-user display-name='' name='' short-domain-qualified-name='' type='user' /> </aq-cache-key> ' ec-data-ts='2124632921660000' sslmode='' username='tableau_internal_user'> </pack>
TwbxExternalCache/TwbxTimestampsCacheV3/827049907/.bin
TwbxExternalCache/TwbxTimestampsCacheV3/827049907/.key
<pack authentication='auth-none' author-locale='en_US' class='hyper' db-format='dataengine' dbname='Data/10.0/11 - US Healthcare Expenditures.tde' default-settings='yes' ec-abstract-query='<aq-cache-key are-all-local-sorts-supported='true' has-agg-measure-filters='false' has-lod-calcs='false' has-user-reference='false' ind-join-semantics='false' start-of-week='sunday' version='19.4'> <query aggregation='true' caching='normal' hierarchize-rows='false' include-empty='false'> <fields> <field column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' /> <field column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' /> <filter class='categorical' column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]'> <groupfilter function='union' user:ui-domain='relevant' user:ui-enumeration='inclusive' user:ui-marker='enumerate'> <groupfilter function='member' level='[Type of Service/Source of Funds]' member='&quot;Medicaid&quot;' /> <groupfilter function='member' level='[Type of Service/Source of Funds]' member='&quot;Medicare&quot;' /> </groupfilter> </filter> <filter class='categorical' column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]'> <groupfilter from='1980' function='range' level='[yr:Date:ok]' to='2015' user:ui-domain='relevant' user:ui-enumeration='inclusive' user:ui-marker='enumerate' /> </filter> </fields> </query> <relation-xml>&lt;relation name=&apos;Extract&apos; table=&apos;[Extract].[Extract]&apos; type=&apos;table&apos; /&gt;&#10;</relation-xml> <relation-names> <relation-name key='[Categories]' value='[Extract].[Categories]' /> <relation-name key='[Cost ($)]' value='[Extract].[Cost ($)]' /> <relation-name key='[Date]' value='[Extract].[Date]' /> <relation-name key='[Number of Records]' value='[Extract].[Number of Records]' /> <relation-name key='[Type of Service/Source of Funds]' value='[Extract].[Type of Service/Source of Funds]' /> </relation-names> <bindings> <binding key='[Type of Service/Source of Funds]' value='Type of Service/Source of Funds' /> <binding key='[sum:Cost ($):ok]' value='sum:Cost ($):ok' /> <binding key='[yr:Date:ok]' value='yr:Date:ok' /> </bindings> <lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </lod> <measure-filter-lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </measure-filter-lod> <output> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </output> <aggregates /> <slicers /> <filtered> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </filtered> <local-filters> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </local-filters> <unnamed-calcs /> <calculations> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Date]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' formula='SUM([Cost ($)])' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' formula='DATEPART(&apos;year&apos;, [Date])' /> </calculations> <agg-types> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' type='None' /> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='Sum' /> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' type='None' /> </agg-types> <data-types> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' type='integer' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Date]' type='date' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' type='string' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='integer' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' type='integer' /> </data-types> <current-user display-name='' name='' short-domain-qualified-name='' type='user' /> </aq-cache-key> ' ec-data-ts='2124632921660000' sslmode='' username='tableau_internal_user'> </pack>
TwbxExternalCache/TwbxResultsCacheV3/774827471/.bin
TwbxExternalCache/TwbxResultsCacheV3/774827471/.key
2124633083949710 <pack authentication='auth-none' author-locale='en_US' class='hyper' db-format='dataengine' dbname='Data/10.0/11 - US Healthcare Expenditures.tde' default-settings='yes' ec-abstract-query='<aq-cache-key are-all-local-sorts-supported='true' has-agg-measure-filters='false' has-lod-calcs='false' has-user-reference='false' ind-join-semantics='false' start-of-week='sunday' version='19.4'> <query aggregation='true' caching='normal' hierarchize-rows='false' include-empty='false'> <fields> <field column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' /> </fields> </query> <relation-xml>&lt;relation name=&apos;Extract&apos; table=&apos;[Extract].[Extract]&apos; type=&apos;table&apos; /&gt;&#10;</relation-xml> <relation-names> <relation-name key='[Categories]' value='[Extract].[Categories]' /> <relation-name key='[Cost ($)]' value='[Extract].[Cost ($)]' /> <relation-name key='[Date]' value='[Extract].[Date]' /> <relation-name key='[Number of Records]' value='[Extract].[Number of Records]' /> <relation-name key='[Type of Service/Source of Funds]' value='[Extract].[Type of Service/Source of Funds]' /> </relation-names> <bindings> <binding key='[Categories]' value='Categories' /> <binding key='[sum:Cost ($):ok]' value='sum:Cost ($):ok' /> </bindings> <lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]</column> </lod> <measure-filter-lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]</column> </measure-filter-lod> <output> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]</column> </output> <aggregates /> <slicers /> <filtered /> <local-filters /> <unnamed-calcs /> <calculations> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' formula='SUM([Cost ($)])' /> </calculations> <agg-types> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]' type='None' /> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='Sum' /> </agg-types> <data-types> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Categories]' type='string' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' type='integer' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='integer' /> </data-types> <current-user display-name='' name='' short-domain-qualified-name='' type='user' /> </aq-cache-key> ' ec-data-ts='2124632921660000' sslmode='' username='tableau_internal_user'> </pack>
TwbxExternalCache/TwbxResultsCacheV3/1669305823/.bin
TwbxExternalCache/TwbxResultsCacheV3/1669305823/.key
2124633083949660 <pack authentication='auth-none' author-locale='en_US' class='hyper' db-format='dataengine' dbname='Data/10.0/11 - US Healthcare Expenditures.tde' default-settings='yes' ec-abstract-query='<aq-cache-key are-all-local-sorts-supported='true' has-agg-measure-filters='false' has-lod-calcs='false' has-user-reference='false' ind-join-semantics='false' start-of-week='sunday' version='19.4'> <query aggregation='true' caching='normal' hierarchize-rows='false' include-empty='false'> <fields> <field column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' /> <field column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' /> <filter class='categorical' column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]'> <groupfilter function='union' user:ui-domain='relevant' user:ui-enumeration='inclusive' user:ui-marker='enumerate'> <groupfilter function='member' level='[Type of Service/Source of Funds]' member='&quot;Medicaid&quot;' /> <groupfilter function='member' level='[Type of Service/Source of Funds]' member='&quot;Medicare&quot;' /> </groupfilter> </filter> <filter class='categorical' column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]'> <groupfilter from='1980' function='range' level='[yr:Date:ok]' to='2015' user:ui-domain='relevant' user:ui-enumeration='inclusive' user:ui-marker='enumerate' /> </filter> </fields> </query> <relation-xml>&lt;relation name=&apos;Extract&apos; table=&apos;[Extract].[Extract]&apos; type=&apos;table&apos; /&gt;&#10;</relation-xml> <relation-names> <relation-name key='[Categories]' value='[Extract].[Categories]' /> <relation-name key='[Cost ($)]' value='[Extract].[Cost ($)]' /> <relation-name key='[Date]' value='[Extract].[Date]' /> <relation-name key='[Number of Records]' value='[Extract].[Number of Records]' /> <relation-name key='[Type of Service/Source of Funds]' value='[Extract].[Type of Service/Source of Funds]' /> </relation-names> <bindings> <binding key='[Type of Service/Source of Funds]' value='Type of Service/Source of Funds' /> <binding key='[sum:Cost ($):ok]' value='sum:Cost ($):ok' /> <binding key='[yr:Date:ok]' value='yr:Date:ok' /> </bindings> <lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </lod> <measure-filter-lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </measure-filter-lod> <output> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </output> <aggregates /> <slicers /> <filtered> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </filtered> <local-filters> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </local-filters> <unnamed-calcs /> <calculations> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Date]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' formula='SUM([Cost ($)])' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' formula='DATEPART(&apos;year&apos;, [Date])' /> </calculations> <agg-types> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' type='None' /> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='Sum' /> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' type='None' /> </agg-types> <data-types> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' type='integer' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Date]' type='date' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' type='string' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='integer' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' type='integer' /> </data-types> <current-user display-name='' name='' short-domain-qualified-name='' type='user' /> </aq-cache-key> ' ec-data-ts='2124632921660000' sslmode='' username='tableau_internal_user'> </pack>
TwbxExternalCache/TwbxResultsCacheV3/466036646/.bin
TwbxExternalCache/TwbxResultsCacheV3/466036646/.key
2124633083949610 <pack authentication='auth-none' author-locale='en_US' class='hyper' db-format='dataengine' dbname='Data/10.0/01 - Preoperative Risk Factors.tde' default-settings='yes' ec-abstract-query='<aq-cache-key are-all-local-sorts-supported='true' has-agg-measure-filters='false' has-lod-calcs='false' has-user-reference='false' ind-join-semantics='false' start-of-week='sunday' version='19.4'> <query aggregation='true' caching='normal' hierarchize-rows='false' include-empty='false'> <fields> <field column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]' /> <output column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]' /> <output column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Comparison %:ok]' /> <output column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Hospital %:ok]' /> </fields> </query> <relation-xml>&lt;relation name=&apos;Extract&apos; table=&apos;[Extract].[Extract]&apos; type=&apos;table&apos; /&gt;&#10;</relation-xml> <relation-names> <relation-name key='[Comparison %]' value='[Extract].[Comparison %]' /> <relation-name key='[Hospital %]' value='[Extract].[Hospital %]' /> <relation-name key='[Number of Records]' value='[Extract].[Number of Records]' /> <relation-name key='[Preoperative Risk Factors]' value='[Extract].[Preoperative Risk Factors]' /> <relation-name key='[Risk Factors (count)]' value='[Extract].[Risk Factors (count)]' /> <relation-name key='[Surgical Cases (count)]' value='[Extract].[Surgical Cases (count)]' /> </relation-names> <bindings> <binding key='[Preoperative Risk Factors]' value='Preoperative Risk Factors' /> <binding key='[sum:Comparison %:ok]' value='sum:Comparison %:ok' /> <binding key='[sum:Hospital %:ok]' value='sum:Hospital %:ok' /> </bindings> <lod> <column>[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]</column> </lod> <measure-filter-lod> <column>[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]</column> </measure-filter-lod> <output> <column>[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]</column> <column>[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Comparison %:ok]</column> <column>[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Hospital %:ok]</column> </output> <aggregates /> <slicers /> <filtered /> <local-filters /> <unnamed-calcs /> <calculations> <calculation column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Comparison %]' formula='' /> <calculation column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Hospital %]' formula='' /> <calculation column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]' formula='' /> <calculation column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Comparison %:ok]' formula='SUM([Comparison %])' /> <calculation column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Hospital %:ok]' formula='SUM([Hospital %])' /> </calculations> <agg-types> <agg-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]' type='None' /> <agg-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Comparison %:ok]' type='Sum' /> <agg-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Hospital %:ok]' type='Sum' /> </agg-types> <data-types> <data-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Comparison %]' type='real' /> <data-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Hospital %]' type='real' /> <data-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[Preoperative Risk Factors]' type='string' /> <data-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Comparison %:ok]' type='real' /> <data-type column='[federated.1ua7qvr1jsag5t1euav5z1latpiv].[sum:Hospital %:ok]' type='real' /> </data-types> <current-user display-name='' name='' short-domain-qualified-name='' type='user' /> </aq-cache-key> ' ec-data-ts='2124632921660000' sslmode='' username='tableau_internal_user'> </pack>
TwbxExternalCache/TwbxResultsCacheV3/742625948/.bin
TwbxExternalCache/TwbxResultsCacheV3/742625948/.key
2124633095400730 <pack authentication='auth-none' author-locale='en_US' class='hyper' db-format='dataengine' dbname='Data/10.0/11 - US Healthcare Expenditures.tde' default-settings='yes' ec-abstract-query='<aq-cache-key are-all-local-sorts-supported='true' has-agg-measure-filters='false' has-lod-calcs='false' has-user-reference='false' ind-join-semantics='false' start-of-week='sunday' version='19.4'> <query aggregation='true' caching='normal' hierarchize-rows='false' include-empty='false'> <fields> <field column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' /> <field column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' /> <output column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]' /> <filter class='categorical' column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]'> <groupfilter function='union' user:ui-domain='relevant' user:ui-enumeration='inclusive' user:ui-marker='enumerate'> <groupfilter function='member' level='[Type of Service/Source of Funds]' member='&quot;Medicaid&quot;' /> <groupfilter function='member' level='[Type of Service/Source of Funds]' member='&quot;Medicare&quot;' /> </groupfilter> </filter> <filter class='categorical' column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]'> <groupfilter from='1980' function='range' level='[yr:Date:ok]' to='2015' user:ui-domain='relevant' user:ui-enumeration='inclusive' user:ui-marker='enumerate' /> </filter> </fields> </query> <relation-xml>&lt;relation name=&apos;Extract&apos; table=&apos;[Extract].[Extract]&apos; type=&apos;table&apos; /&gt;&#10;</relation-xml> <relation-names> <relation-name key='[Categories]' value='[Extract].[Categories]' /> <relation-name key='[Cost ($)]' value='[Extract].[Cost ($)]' /> <relation-name key='[Date]' value='[Extract].[Date]' /> <relation-name key='[Number of Records]' value='[Extract].[Number of Records]' /> <relation-name key='[Type of Service/Source of Funds]' value='[Extract].[Type of Service/Source of Funds]' /> </relation-names> <bindings> <binding key='[Type of Service/Source of Funds]' value='Type of Service/Source of Funds' /> <binding key='[sum:Cost ($):ok]' value='sum:Cost ($):ok' /> <binding key='[tyr:Date:ok]' value='tyr:Date:ok' /> </bindings> <lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]</column> </lod> <measure-filter-lod> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]</column> </measure-filter-lod> <output> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]</column> </output> <aggregates /> <slicers> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </slicers> <filtered> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> </filtered> <local-filters> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]</column> <column>[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]</column> </local-filters> <unnamed-calcs /> <calculations> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Date]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' formula='' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' formula='SUM([Cost ($)])' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]' formula='DATETRUNC(&apos;year&apos;, [Date])' /> <calculation column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' formula='DATEPART(&apos;year&apos;, [Date])' /> </calculations> <agg-types> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' type='None' /> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='Sum' /> <agg-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]' type='None' /> </agg-types> <data-types> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Cost ($)]' type='integer' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Date]' type='date' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[Type of Service/Source of Funds]' type='string' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[sum:Cost ($):ok]' type='integer' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[tyr:Date:ok]' type='datetime' /> <data-type column='[federated.0fxswf20jpptyx1g2ffot1a097rq].[yr:Date:ok]' type='integer' /> </data-types> <current-user display-name='' name='' short-domain-qualified-name='' type='user' /> </aq-cache-key> ' ec-data-ts='2124632921660000' sslmode='' username='tableau_internal_user'> </pack>