20230215
14481000
1.0
FALSE
CreateFeatureclass "C:\Users\Mehlam Akbarali\Documents\ArcGIS\Projects\National Map\National Map.gdb" temp2 Point in_memory\intermediate_csvtable No No "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" # 0 0 0 #
XYTableToPoint "C:\Users\Mehlam Akbarali\Desktop\Kimetrica Work\National Map Creation\School Data\schools_final2.csv" "C:\Users\Mehlam Akbarali\Documents\ArcGIS\Projects\National Map\National Map.gdb\temp2" longitude latitude # "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision"
CopyFeatures temp2 "C:\Users\Mehlam Akbarali\Documents\ArcGIS\Projects\National Map\National Map.gdb\layer_total_students_2020_21_SCH" # # # #
layer_total_students_2020_21_SCH
002
file://\\MEHLAM-AKBARALI\C$\Users\Mehlam Akbarali\Documents\ArcGIS\Projects\National Map\National Map.gdb
Local Area Network
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20230215
14481500
20230215
14481500
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 13.0.0.36056
layer_total_students_2020_21_SCH
nationalmap2
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
layer_total_students_2020_21_SCH
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
school_name
school_name
String
8000
0
0
state_name
state_name
String
8000
0
0
school_ID
school_ID
Double
8
0
0
latitude
latitude
Double
8
0
0
longitude
longitude
Double
8
0
0
total_students_2020_21
total_students_2020_21
Integer
4
0
0
total_students_2019_20
total_students_2019_20
Integer
4
0
0
free_lunch_eligible_students
free_lunch_eligible_students
Integer
4
0
0
reduced_price_lunch_eligible_students
reduced_price_lunch_eligible_students
Integer
4
0
0
free_and_reduced_lunch_eligible_students
free_and_reduced_lunch_eligible_students
Integer
4
0
0
prekindergarten_students
prekindergarten_students
Integer
4
0
0
change_in_enrollment_pct
change_in_enrollment_pct
Double
8
0
0
Field13
Field13
String
8000
0
0
Field14
Field14
String
8000
0
0
Field15
Field15
String
8000
0
0
20230215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