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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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1
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/1
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2010%20Census
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2010%20Census
8,175,133
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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2019%20Density
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2019%20Density
11,056/km�
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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2019%20Population%EF%BF%BD
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2019%20Population%EF%BF%BD
8,601,186
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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Area%20(km%EF%BF%BD)
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Area%20(km%EF%BF%BD)
778
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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Change
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Change
0.25%
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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Longitude
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Latitude/Longitude
40.66/-73.94
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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Name
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Name
New York City
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https://triplydb.com/KurtCagle/Test-1/graphs/default
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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Rank
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Rank
1
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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State
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/State
New York
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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10
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/10
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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2010%20Census
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2010%20Census
945,942
http://www.w3.org/2001/XMLSchema#string
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:
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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10
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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2019%20Density
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2019%20Density
2,248/km�
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
:
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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10
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/10
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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2019%20Population%EF%BF%BD
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2019%20Population%EF%BF%BD
1,033,519
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
:
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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Area%20(km%EF%BF%BD)
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Area%20(km%EF%BF%BD)
460
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
:
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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10
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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Change
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Change
0.26%
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
:
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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10
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Latitude/
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Longitude
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Latitude/Longitude
37.30/-121.82
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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10
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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Name
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Name
San Jose
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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Rank
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Rank
10
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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State
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/State
California
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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100
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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2010%20Census
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2010%20Census
208,916
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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100
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/100
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/
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2019%20Density
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2019%20Density
1,261/km�
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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100
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2019%20Population%EF%BF%BD
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2019%20Population%EF%BF%BD
224,652
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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100
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Area%20(km%EF%BF%BD)
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Area%20(km%EF%BF%BD)
178
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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100
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Change
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Change
1.30%
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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100
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Latitude/
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Longitude
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Latitude/Longitude
47.67/-117.43
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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100
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Name
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Name
Spokane
http://www.w3.org/2001/XMLSchema#string
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100
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Rank
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Rank
100
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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100
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State
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/State
Washington
http://www.w3.org/2001/XMLSchema#string
graph:default
https://triplydb.com/KurtCagle/Test-1/graphs/default
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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2010%20Census
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198,397
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2019%20Density
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2019%20Density
1,725/km�
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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222,128
http://www.w3.org/2001/XMLSchema#string
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129
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Change
1.66%
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Latitude/Longitude
47.25/-122.46
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Name
Tacoma
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Rank
101
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/State
Washington
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2010%20Census
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2010%20Census
201,165
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2019%20Density
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2019%20Density
1,963/km�
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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2019%20Population%EF%BF%BD
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2019%20Population%EF%BF%BD
218,436
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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Area%20(km%EF%BF%BD)
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Area%20(km%EF%BF%BD)
111
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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Change
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0.96%
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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Longitude
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Latitude/Longitude
37.64/-121.00
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Name
Modesto
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Rank
102
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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State
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/State
California
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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103
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2010%20Census
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2010%20Census
209,924
http://www.w3.org/2001/XMLSchema#string
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:
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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103
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2019%20Density
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2019%20Density
1,370/km�
http://www.w3.org/2001/XMLSchema#string
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:
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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2019%20Population%EF%BF%BD
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/2019%20Population%EF%BF%BD
218,306
http://www.w3.org/2001/XMLSchema#string
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https://triplydb.com/KurtCagle/Test-1/graphs/default
:
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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103
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:
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Area%20(km%EF%BF%BD)
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Area%20(km%EF%BF%BD)
159
http://www.w3.org/2001/XMLSchema#string
graph:default
https://triplydb.com/KurtCagle/Test-1/graphs/default
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https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/id/
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Change
https://triplydb.com/KurtCagle/Test-1/Largest_Cities_2019.csv/def/Change
0.32%
http://www.w3.org/2001/XMLSchema#string
graph:default
https://triplydb.com/KurtCagle/Test-1/graphs/default

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