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Order: 0 Width: 1280 Height: 720 Visible: 1
X: 459 Y: 418 Z: 7000 Width: 791 Height: 281
'Cumulative (grey)'
X: 132 Y: 0 Z: 1000 Width: 129 Height: 30
'Total deaths'
X: 402 Y: 50 Z: 0 Width: 389 Height: 230
Fields:
Category: ["COVID.Date"] Y: ["Sum(COVID.Daily deaths)"]
'Daily Deaths'
X: 403 Y: 41 Z: 2000 Width: 388 Height: 19
'Total confirmed cases'
X: 0 Y: 50 Z: 3000 Width: 389 Height: 230
Fields:
Category: ["COVID.Date"] Y: ["Sum(COVID.Daily cases)"]
'Daily Cases'
X: 0 Y: 41 Z: 4000 Width: 388 Height: 19
X: 34 Y: 53 Z: 0 Width: 378 Height: 629
Fields:
Rows: ["StateDim.Country", "StateDim.State"] Values: ["COVID measures.Total confirmed cases", "COVID measures.Total deaths", "COVID measures.Case fatality rate"]
X: 437 Y: 52 Z: 1000 Width: 497 Height: 368
X: 29 Y: 0 Z: 3000 Width: 118 Height: 38
'Summary'
X: 152 Y: 0 Z: 2000 Width: 129 Height: 36
'Confirmed cases by State'
X: 0 Y: 11 Z: 1000 Width: 497 Height: 357
Fields:
Category: ["StateDim.State"] Tooltips: ["COVID measures.Total confirmed cases", "COVID measures.Case fatality rate"] Value: ["COVID measures.Total deaths"]
'Summary'
X: 29 Y: 0 Z: 0 Width: 118 Height: 36
X: 437 Y: 50 Z: 2000 Width: 498 Height: 368
X: 153 Y: 0 Z: 3000 Width: 130 Height: 42
'Summary'
X: 153 Y: 1 Z: 2000 Width: 129 Height: 37
'Confirmed cases by State'
X: 0 Y: 11 Z: 1000 Width: 498 Height: 357
Fields:
Category: ["StateDim.State"] Value: ["Latest COVID measures.Total confirmed cases"] Tooltips: ["COVID measures.Total deaths", "COVID measures.Case fatality rate"]
'Summary'
X: 29 Y: 0 Z: 0 Width: 118 Height: 38
X: 942 Y: 51 Z: 3000 Width: 308 Height: 74
Fields:
Values: ["COVID.Date"]
'Daily button'
X: 467 Y: 422 Z: 4000 Width: 116 Height: 25
'Cumulative button'
X: 595 Y: 422 Z: 5000 Width: 115 Height: 25
X: 459 Y: 419 Z: 6000 Width: 791 Height: 281
'Daily (grey)'
X: 6 Y: 0 Z: 4000 Width: 123 Height: 29
'Total confirmed cases'
X: 0 Y: 50 Z: 3000 Width: 388 Height: 231
Fields:
Category: ["COVID.Date"] Y: ["COVID measures.Confirmed cases"]
'Total deaths'
X: 403 Y: 50 Z: 2000 Width: 388 Height: 231
Fields:
Category: ["COVID.Date"] Y: ["COVID measures.Deaths"]
'Cumulative Deaths'
X: 403 Y: 40 Z: 1000 Width: 388 Height: 19
'Cumulative Cases'
X: 0 Y: 40 Z: 0 Width: 388 Height: 20
'State View'
X: 734 Y: 384 Z: 8000 Width: 182 Height: 23
X: 959 Y: 142 Z: 11000 Width: 274 Height: 287
'Source:'
X: 0 Y: 237 Z: 2000 Width: 94 Height: 50
'Methodology'
X: 0 Y: 0 Z: 0 Width: 274 Height: 115
'Data Source'
X: 0 Y: 115 Z: 1000 Width: 274 Height: 121
X: 466 Y: 379 Z: 9000 Width: 149 Height: 31
X: 35 Y: 700 Z: 10000 Width: 1216 Height: 18
Order: 1 Width: 1280 Height: 720 Visible: 1
Filter:
StateDim
State is 'New York'
X: 459 Y: 418 Z: 7000 Width: 791 Height: 281
'Cumulative (grey)'
X: 132 Y: 0 Z: 1000 Width: 129 Height: 30
'Total deaths'
X: 402 Y: 50 Z: 0 Width: 389 Height: 230
Fields:
Category: ["COVID.Date"] Y: ["Sum(COVID.Daily deaths)"]
'Daily Deaths'
X: 403 Y: 41 Z: 2000 Width: 388 Height: 19
'Total confirmed cases'
X: 0 Y: 50 Z: 3000 Width: 389 Height: 230
Fields:
Category: ["COVID.Date"] Y: ["Sum(COVID.Daily cases)"]
'Daily (grey)'
X: 133 Y: 0 Z: 5000 Width: 122 Height: 29
'Daily Cases'
X: 0 Y: 41 Z: 4000 Width: 388 Height: 19
X: 28 Y: 53 Z: 0 Width: 386 Height: 629
Fields:
Rows: ["StateDim.State", "COVID.County Name"] Values: ["COVID measures.Total confirmed cases", "COVID measures.Total deaths", "COVID measures.Case fatality rate"]
X: 437 Y: 51 Z: 1000 Width: 486 Height: 367
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'Summary'
X: 152 Y: 0 Z: 2000 Width: 129 Height: 36
'Confirmed cases by State'
X: 0 Y: 31 Z: 1000 Width: 486 Height: 336
Fields:
Category: ["COVID.County"] Tooltips: ["COVID measures.Total deaths", "COVID measures.Total confirmed cases", "COVID measures.Case fatality rate"]
Filter:
COVID
not (County Contains 'Unallocated')
'Summary'
X: 29 Y: 0 Z: 0 Width: 118 Height: 36
X: 437 Y: 50 Z: 2000 Width: 486 Height: 369
X: 154 Y: 0 Z: 3000 Width: 129 Height: 37
'Summary'
X: 153 Y: 2 Z: 2000 Width: 129 Height: 37
'Confirmed cases by State'
X: 0 Y: 33 Z: 1000 Width: 486 Height: 336
Fields:
Tooltips: ["COVID measures.Total confirmed cases", "COVID measures.Total deaths", "COVID measures.Case fatality rate"] Category: ["COVID.County"]
Filter:
COVID
not (County Contains 'Unallocated')
'Summary'
X: 29 Y: 1 Z: 0 Width: 118 Height: 38
X: 942 Y: 40 Z: 3000 Width: 309 Height: 75
Fields:
Values: ["COVID.Date"]
'Daily button'
X: 467 Y: 422 Z: 4000 Width: 116 Height: 25
'Cumulative button'
X: 595 Y: 422 Z: 5000 Width: 115 Height: 25
X: 459 Y: 419 Z: 6000 Width: 791 Height: 281
'Daily (grey)'
X: 6 Y: 0 Z: 4000 Width: 123 Height: 29
'Total confirmed cases'
X: 0 Y: 50 Z: 3000 Width: 388 Height: 231
Fields:
Category: ["COVID.Date"] Y: ["COVID measures.Confirmed cases"]
'Total deaths'
X: 403 Y: 50 Z: 2000 Width: 388 Height: 231
Fields:
Category: ["COVID.Date"] Y: ["COVID measures.Deaths"]
'Cumulative Deaths'
X: 403 Y: 40 Z: 1000 Width: 388 Height: 19
'Cumulative Cases'
X: 0 Y: 40 Z: 0 Width: 388 Height: 20
X: 463 Y: 51 Z: 8000 Width: 123 Height: 39
'State View'
X: 788 Y: 62 Z: 9000 Width: 129 Height: 25
'State View'
X: 1145 Y: 2 Z: 10000 Width: 129 Height: 25
X: 959 Y: 142 Z: 11000 Width: 274 Height: 287
'Source:'
X: 0 Y: 237 Z: 2000 Width: 94 Height: 50
'Methodology'
X: 0 Y: 0 Z: 0 Width: 274 Height: 115
'Data Source'
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["Cases","Deaths","COVID","StateDim","Table","COVID measures"]
let
Source = Csv.Document(AzureStorage.BlobContents("https://usafactsstatic.blob.core.windows.net/public/data/covid-19/covid_confirmed_usafacts.csv"),[Delimiter=",", Encoding=65001, QuoteStyle=QuoteStyle.None]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
Cols = Table.ColumnNames(#"Promoted Headers"),
ColsUnpivot = List.Skip(Cols,4),
#"Unpivoted Only Selected Columns" = Table.Unpivot(#"Promoted Headers", ColsUnpivot, "Attribute", "Value"),
#"Changed Type" = Table.TransformColumnTypes(#"Unpivoted Only Selected Columns",{{"Value", Int64.Type}}),
#"Removed Errors" = Table.RemoveRowsWithErrors(#"Changed Type", {"Value"}),
#"Renamed Columns" = Table.RenameColumns(#"Removed Errors",{{"Attribute", "Date"}, {"Value", "Cases"}}),
#"Added Custom" = Table.AddColumn(#"Renamed Columns", "FIPS", each Text.PadStart(Text.From([countyFIPS]),5,"0")),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"countyFIPS"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Removed Columns",{{"Date", type date}})
in
#"Changed Type1"
let
Source = Csv.Document(AzureStorage.BlobContents("https://usafactsstatic.blob.core.windows.net/public/data/covid-19/covid_deaths_usafacts.csv"),[Delimiter=",", Encoding=65001, QuoteStyle=QuoteStyle.None]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
Cols = Table.ColumnNames(#"Promoted Headers"),
ColsUnpivot = List.Skip(Cols,4),
#"Unpivoted Only Selected Columns" = Table.Unpivot(#"Promoted Headers", ColsUnpivot, "Attribute", "Value"),
#"Changed Type" = Table.TransformColumnTypes(#"Unpivoted Only Selected Columns",{{"Value", Int64.Type}}),
#"Removed Errors" = Table.RemoveRowsWithErrors(#"Changed Type", {"Value"}),
#"Renamed Columns" = Table.RenameColumns(#"Removed Errors",{{"Attribute", "Date"}, {"Value", "Deaths"}}),
#"Added Custom" = Table.AddColumn(#"Renamed Columns", "FIPS", each Text.PadStart(Text.From([countyFIPS]),5,"0")),
#"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"countyFIPS"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Removed Columns",{{"Date", type date}})
in
#"Changed Type1"
let
Source = Table.NestedJoin(Cases, {"County Name", "State", "stateFIPS", "Date", "FIPS"}, Deaths, {"County Name", "State", "stateFIPS", "Date", "FIPS"}, "Deaths", JoinKind.LeftOuter),
#"Expanded Deaths" = Table.ExpandTableColumn(Source, "Deaths", {"Deaths"}, {"Deaths.1"}),
#"Renamed Columns" = Table.RenameColumns(#"Expanded Deaths",{{"Deaths.1", "Deaths"}}),
#"Changed Type" = Table.TransformColumnTypes(#"Renamed Columns",{{"Date", type date}}),
#"Replaced Value" = Table.ReplaceValue(#"Changed Type","Jackson County (including other portions of Kansas City)","Jackson County",Replacer.ReplaceText,{"County Name"}),
#"Replaced Value1" = Table.ReplaceValue(#"Replaced Value","New York City","New York*",Replacer.ReplaceText,{"County Name"}),
#"Replaced Value2" = Table.ReplaceValue(#"Replaced Value1","City of St. Louis","St. Louis City",Replacer.ReplaceText,{"County Name"}),
#"Replaced Value3" = Table.ReplaceValue(#"Replaced Value2","City and Borough of Juneau","Juneau Borough",Replacer.ReplaceText,{"County Name"}),
#"Replaced Value4" = Table.ReplaceValue(#"Replaced Value3","Municipality of Anchorage","Anchorage",Replacer.ReplaceText,{"County Name"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Replaced Value4",{{"Cases", Int64.Type}, {"Deaths", Int64.Type}})
in
#"Changed Type1"
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [State = _t, #"State code" = _t, #"US territories" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"State", type text}, {"State code", type text}, {"US territories", type text}})
in
#"Changed Type"
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wcs7PS8ssyk1NUXBOLE4tVtJRMlSK1YlWcklNLMkAcY3AXJCkgltiSWJOZkmlQlBiSSpQylgpNhYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Metric = _t, Order = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Metric", type text}, {"Order", Int64.Type}})
in
#"Changed Type"
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlSKjQUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", Int64.Type}}),
#"Removed Columns" = Table.RemoveColumns(#"Changed Type",{"Column1"})
in
#"Removed Columns"
Calendar(Date(2015,1,1), Date(2015,1,1))
Hidden Referenced RowCount: 1 ReferentialIntegrityViolationCount: 0
ColumnsSize: 35220 TableSize: 35316 RelationshipsSize: 0 UserHierarchiesSize: 96
Referenced RowCount: 220593 ReferentialIntegrityViolationCount: 0
ColumnsSize: 1303129 TableSize: 1303265 RelationshipsSize: 136 UserHierarchiesSize: 0
Referenced RowCount: 57 ReferentialIntegrityViolationCount: 0
ColumnsSize: 72044 TableSize: 72044 RelationshipsSize: 0 UserHierarchiesSize: 0
RowCount: 3 ReferentialIntegrityViolationCount: 0
ColumnsSize: 17516 TableSize: 17516 RelationshipsSize: 0 UserHierarchiesSize: 0
Calendar(Date(Year(MIN('COVID'[Date])), 1, 1), Date(Year(MAX('COVID'[Date])), 12, 31))
Hidden Referenced RowCount: 366 ReferentialIntegrityViolationCount: 0
ColumnsSize: 63096 TableSize: 69240 RelationshipsSize: 0 UserHierarchiesSize: 6144
RowCount: 0 ReferentialIntegrityViolationCount: 0
ColumnsSize: 400 TableSize: 400 RelationshipsSize: 0 UserHierarchiesSize: 0
Column: 'DateTableTemplate_fe7eb183-f12b-4c88-bb89-cfaa7f88e1df'[RowNumber-2662979B-1795-4F74-8F37-6A1BA8059B61]
Hidden Key Unique RowNumber
DataType: Int64 ColumnType: RowNumber Encoding: VALUEDictionarySize: 120 DataSize: 0 HierarchiesSize: 0
Hidden Nullable Referenced Cardinality: 1
DataType: DateTime ColumnType: CalculatedTableColumn Encoding: VALUEDictionarySize: 120 DataSize: 8 HierarchiesSize: 32
Hidden Nullable Referenced Cardinality: 1
DataType: Int64 ColumnType: Calculated Encoding: VALUE
YEAR([Date])
DictionarySize: 120 DataSize: 8 HierarchiesSize: 32
Hidden Nullable Referenced Cardinality: 1
DataType: Int64 ColumnType: Calculated Encoding: VALUE
MONTH([Date])
DictionarySize: 120 DataSize: 8 HierarchiesSize: 32
Hidden Nullable Referenced Cardinality: 1
DataType: String ColumnType: Calculated Encoding: HASH
FORMAT([Date], "MMMM")
Sort by: MonthNoDictionarySize: 17080 DataSize: 8 HierarchiesSize: 64
Hidden Nullable Referenced Cardinality: 1
DataType: Int64 ColumnType: Calculated Encoding: VALUE
INT(([MonthNo] + 2) / 3)
DictionarySize: 120 DataSize: 8 HierarchiesSize: 32
Hidden Nullable Referenced Cardinality: 1
DataType: String ColumnType: Calculated Encoding: HASH
"Qtr " & [QuarterNo]
Sort by: QuarterNoDictionarySize: 17076 DataSize: 8 HierarchiesSize: 64
Hidden Nullable Referenced Cardinality: 1
DataType: Int64 ColumnType: Calculated Encoding: VALUE
DAY([Date])
DictionarySize: 120 DataSize: 8 HierarchiesSize: 32
Hidden Key Unique RowNumber Referenced
DataType: Int64 ColumnType: RowNumber Encoding: VALUEDictionarySize: 120 DataSize: 0 HierarchiesSize: 0
Nullable Referenced Cardinality: 1881
DataType: String ColumnType: Data Encoding: HASHDictionarySize: 67599 DataSize: 213328 HierarchiesSize: 15088
Nullable Referenced Cardinality: 51
DataType: String ColumnType: Data Encoding: HASHDictionarySize: 17770 DataSize: 17376 HierarchiesSize: 448
Hidden Nullable Cardinality: 51
DataType: String ColumnType: Data Encoding: HASHDictionarySize: 17756 DataSize: 17376 HierarchiesSize: 448
Nullable Referenced Cardinality: 69
DataType: DateTime ColumnType: Data Encoding: HASHDictionarySize: 3248 DataSize: 145656 HierarchiesSize: 592
Nullable Referenced Cardinality: 642
DataType: Int64 ColumnType: Data Encoding: HASH Format String: 0DictionarySize: 19304 DataSize: 8296 HierarchiesSize: 5184
Nullable Cardinality: 3145
DataType: String ColumnType: Data Encoding: HASHDictionarySize: 99665 DataSize: 213152 HierarchiesSize: 25200
Nullable Referenced Cardinality: 82
DataType: Int64 ColumnType: Data Encoding: HASH Format String: 0DictionarySize: 2700 DataSize: 376 HierarchiesSize: 704
Nullable Cardinality: 3195
DataType: String ColumnType: Calculated Encoding: HASH
'COVID'[County Name] & ", " & 'COVID'[State]
DictionarySize: 129147 DataSize: 214040 HierarchiesSize: 25600
Nullable Referenced Cardinality: 338
DataType: Int64 ColumnType: Calculated Encoding: HASH
VAR __CountyName = 'COVID'[County Name]
VAR __State = 'COVID'[State]
VAR __Yesterday = DATEADD(COVID[Date],-1,DAY)
VAR __TodaysCases = 'COVID'[Cases]
RETURN __TodaysCases - CALCULATE(
SUM('COVID'[Cases]) ,
FILTER(
COVID,
COVID[Date] = __Yesterday &&
COVID[County Name] = __CountyName &&
COVID[State] = __State
)
) + 0
Format String: #,0DictionarySize: 9920 DataSize: 25744 HierarchiesSize: 2752
Nullable Referenced Cardinality: 49
DataType: Int64 ColumnType: Calculated Encoding: HASH
VAR __CountyName = 'COVID'[County Name]
VAR __State = 'COVID'[State]
VAR __Yesterday = DATEADD(COVID[Date],-1,DAY)
VAR __TodaysDeaths = 'COVID'[Deaths]
RETURN __TodaysDeaths - CALCULATE(
SUM('COVID'[Deaths]) ,
FILTER(
COVID,
COVID[Date] = __Yesterday &&
COVID[County Name] = __CountyName &&
COVID[State] = __State
)
) + 0
Format String: 0DictionarySize: 1548 DataSize: 2560 HierarchiesSize: 432
Hidden Key Unique RowNumber
DataType: Int64 ColumnType: RowNumber Encoding: VALUEDictionarySize: 120 DataSize: 0 HierarchiesSize: 0
Nullable Referenced Cardinality: 57
DataType: String ColumnType: Data Encoding: HASHDictionarySize: 18664 DataSize: 48 HierarchiesSize: 496
Nullable Referenced Cardinality: 57
DataType: String ColumnType: Data Encoding: HASHDictionarySize: 17854 DataSize: 48 HierarchiesSize: 496
Nullable Cardinality: 2
DataType: String ColumnType: Data Encoding: HASHDictionarySize: 17086 DataSize: 8 HierarchiesSize: 80
Hidden Nullable Cardinality: 1
DataType: String ColumnType: Calculated Encoding: HASH
"USA"
DictionarySize: 17072 DataSize: 8 HierarchiesSize: 64
Hidden Key Unique RowNumber
DataType: Int64 ColumnType: RowNumber Encoding: VALUEDictionarySize: 120 DataSize: 0 HierarchiesSize: 0
Nullable Cardinality: 3
DataType: String ColumnType: Data Encoding: HASHDictionarySize: 17164 DataSize: 8 HierarchiesSize: 64
Nullable Cardinality: 3
DataType: Int64 ColumnType: Data Encoding: VALUE Format String: 0DictionarySize: 120 DataSize: 8 HierarchiesSize: 32
Column: 'LocalDateTable_a0f5b894-4f57-4a54-a9d5-5508aa5843d0'[RowNumber-2662979B-1795-4F74-8F37-6A1BA8059B61]
Hidden Key Unique RowNumber
DataType: Int64 ColumnType: RowNumber Encoding: VALUEDictionarySize: 120 DataSize: 0 HierarchiesSize: 0
Hidden Nullable Referenced Cardinality: 366
DataType: DateTime ColumnType: CalculatedTableColumn Encoding: HASHDictionarySize: 19576 DataSize: 424 HierarchiesSize: 2976
Hidden Nullable Referenced Cardinality: 1
DataType: Int64 ColumnType: Calculated Encoding: HASH
YEAR([Date])
DictionarySize: 1356 DataSize: 8 HierarchiesSize: 64
Hidden Nullable Referenced Cardinality: 12
DataType: Int64 ColumnType: Calculated Encoding: HASH
MONTH([Date])
DictionarySize: 1400 DataSize: 184 HierarchiesSize: 144
Hidden Nullable Referenced Cardinality: 12
DataType: String ColumnType: Calculated Encoding: HASH
FORMAT([Date], "MMMM")
Sort by: MonthNoDictionarySize: 17324 DataSize: 184 HierarchiesSize: 144
Hidden Nullable Referenced Cardinality: 4
DataType: Int64 ColumnType: Calculated Encoding: HASH
INT(([MonthNo] + 2) / 3)
DictionarySize: 1368 DataSize: 8 HierarchiesSize: 80
Hidden Nullable Referenced Cardinality: 4
DataType: String ColumnType: Calculated Encoding: HASH
"Qtr " & [QuarterNo]
Sort by: QuarterNoDictionarySize: 17136 DataSize: 8 HierarchiesSize: 80
Hidden Nullable Referenced Cardinality: 31
DataType: Int64 ColumnType: Calculated Encoding: VALUE
DAY([Date])
DictionarySize: 120 DataSize: 248 HierarchiesSize: 144
Hidden Key Unique RowNumber
DataType: Int64 ColumnType: RowNumber Encoding: HASHDictionarySize: 392 DataSize: 8 HierarchiesSize: 0
"Data provided by USAFacts. Because of the frequency of data upates, they may not reflect the exact numbers reported by government organizations or the news media. For more information or to download the data, please click the logo below. Data updated through " & FORMAT([Max date],"mmmm dd, yyyy") & "."
DataType: String
CALCULATE(MAX('COVID'[Date]),ALL('COVID'))
Hidden DataType: DateTime FormatString: General Date
IF(SELECTEDVALUE(StateDim[State],0)==0,"Click on a State to view by County ", "Click here to view by County in " & VALUES(StateDim[State code]) &" ")
DataType: String
"This interactive feature aggregates data from the Centers for Disease Control and Prevention (CDC), state- and local-level public health agencies. County-level data is confirmed by referencing state and local agencies directly.
Source: USAFacts"
DataType: String
"New York* covers 5 counties (Bronx, Kings, New York, Queens, Richmond), not New York county.
City of St. Louis was renamed to St. Louis City.
City and Borough of Juneau was renamed to Juneau Borough.
Municipality of Anchorage was renamed to Anchorage.
Jackson County includes other portions of Kansas City.
Source: USAFacts"
DataType: String
"This report and data are provided " & """" & "as is" & """" & ", " & """" & "with all faults" & """" & ", and without warranty of any kind. Microsoft gives no express warranties or guarantees and expressly disclaims all implied warranties, including merchantability, fitness for a particular purpose, and non-infringement."
DataType: String
SUM('COVID'[Daily cases])
DataType: Int64 FormatString: #,0
SUM(COVID[Daily deaths])
DataType: Int64 FormatString: #,0
DIVIDE([Total deaths],[Total confirmed cases])
DataType: Double FormatString: 0.0%;-0.0%;0.0%
SUM('COVID'[Cases])
DataType: Int64 FormatString: #,0
SUM('COVID'[Deaths])
DataType: Int64 FormatString: #,0
| TableName | UserHierarchyName | IsHidden | UsedSize | Levels |
|---|---|---|---|---|
| DateTableTemplate_fe7eb183-f12b-4c88-bb89-cfaa7f88e1df | Date Hierarchy | false | 96 | Year, Quarter, Month, Day |
| LocalDateTable_a0f5b894-4f57-4a54-a9d5-5508aa5843d0 | Date Hierarchy | false | 6144 | Year, Quarter, Month, Day |
Active Many => One
Cardinality: 69 => 366 JoinOnDateBehavior: DatePartOnly CrossFilteringBehavior: OneDirection SecurityFilteringBehavior: OneDirection
RelationshipType: SingleColumn RelyOnReferentialIntegrity: false MissingKeys: 0 InvalidRows: 0
Active Many => One
Cardinality: 51 => 57 JoinOnDateBehavior: DateAndTime CrossFilteringBehavior: OneDirection SecurityFilteringBehavior: OneDirection
RelationshipType: SingleColumn RelyOnReferentialIntegrity: false MissingKeys: 0 InvalidRows: 0