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@@ -53,3 +53,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+spider-corpus-validation.json filter=lfs diff=lfs merge=lfs -text
+validation_database/wta_1/wta_1.sqlite filter=lfs diff=lfs merge=lfs -text

spider-corpus-validation.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b01eac2ae171e331cd656659aee3c9365242c723d3a053f47bea4b102451ba47
+size 74577589

validation_database/battle_death/schema.sql

@@ -0,0 +1,65 @@
+PRAGMA foreign_keys = ON;
+CREATE TABLE "battle" (
+"id" int,
+"name" text,
+"date" text,
+"bulgarian_commander" text,
+"latin_commander" text,
+"result" text,
+primary key("id")
+);
+
+CREATE TABLE "ship" (
+"lost_in_battle" int,
+"id" int,
+"name" text,
+"tonnage" text,
+"ship_type" text,
+"location" text,
+"disposition_of_ship" text,
+primary key("id"),
+foreign key (`lost_in_battle`) references `battle`("id") 
+);
+
+
+CREATE TABLE "death" (
+"caused_by_ship_id" int,
+"id" int,
+"note" text,
+"killed" int,
+"injured" int,
+primary key("id"),
+foreign key ("caused_by_ship_id") references `ship`("id") 
+);
+
+INSERT INTO  "battle" VALUES (1,"Battle of Adrianople","14 April 1205","Kaloyan","Baldwin I","Bulgarian victory");
+INSERT INTO  "battle" VALUES (2,"Battle of Serres","June 1205","Kaloyan","Unknown","Bulgarian victory");
+INSERT INTO  "battle" VALUES (3,"Battle of Rusion","31 January 1206","Kaloyan","Thierry de Termond","Bulgarian victory");
+INSERT INTO  "battle" VALUES (4,"Battle of Rodosto","February 1206","Kaloyan","Unknown","Bulgarian victory");
+INSERT INTO  "battle" VALUES (5,"Battle of Messinopolis","4 September 1207","Unknown","Boniface of Montferrat","Bulgarian victory");
+INSERT INTO  "battle" VALUES (6,"Battle of Boruy","June 1205","Boril","Henry I","Bulgarian victory");
+INSERT INTO  "battle" VALUES (7,"Battle of Philippopolis","31 June 1208","Boril","Henry I","Latin victory");
+INSERT INTO  "battle" VALUES (8,"Siege of Constantinople","1235","Ivan Asen II","John of Brienne","Two Year Truce");
+
+
+INSERT INTO  "ship" VALUES (8, 1, "Lettice","t","Brig","English Channel","Captured");
+INSERT INTO  "ship" VALUES (7, 2, "Bon Accord","t","Brig","English Channel","Captured");
+INSERT INTO  "ship" VALUES (6, 3, "Mary","t","Brig","English Channel","Captured");
+INSERT INTO  "ship" VALUES (5, 4, "HMS Avon","391","18-gun Brig","English Channel","Wrecked");
+INSERT INTO  "ship" VALUES (5, 5, "Three Brothers","t","Brig","SW Approaches","Scuttled");
+INSERT INTO  "ship" VALUES (4, 6, "Bacchus","t","Brig","English Channel","Sank");
+INSERT INTO  "ship" VALUES (8, 7, "HMS Atalanta","225","8 gun Brig","Mid-Atlantic","Captured");
+
+INSERT INTO  "death" VALUES (1, "1","Dantewada, Chhattisgarh","8","0");
+INSERT INTO  "death" VALUES (2, "2","Dantewada, Chhattisgarh","3","0");
+INSERT INTO  "death" VALUES (3, "13","Erraboru, Chhattisgarh","25","0");
+INSERT INTO  "death" VALUES (3, "3","East Champaran, Bihar","2","0");
+INSERT INTO  "death" VALUES (4, "4","Gajapati, Odisha","3","0");
+INSERT INTO  "death" VALUES (4, "5","Sundargarh, Odisha","0","9");
+INSERT INTO  "death" VALUES (5, "6","Dantewada, Chhattisgarh","0","0");
+INSERT INTO  "death" VALUES (5, "7","Dantewada, Chhattisgarh","4","5");
+INSERT INTO  "death" VALUES (6, "8","Kanker, Chhattisgarh","0","0");
+INSERT INTO  "death" VALUES (1, "9","Dantewada, Chhattisgarh","29","0");
+INSERT INTO  "death" VALUES (3, "10","WestMidnapore, West Bengal","0","0");
+INSERT INTO  "death" VALUES (2, "11","Bastar, Chattisgarh","0","0");
+INSERT INTO  "death" VALUES (5, "12","Bokaro, Jharkhand","14","0");

validation_database/car_1/annotation.json

@@ -0,0 +1,62 @@
+{
+    "label_id": null, 
+    "data": [
+        {
+            "nl": "Find all Reanults (\u2019renault\u2019) in the database. For each, report the name and the year.\n", 
+            "id": 0
+        }, 
+        {
+            "nl": "Find all cars produced by Volvo between 1977 and 1981 (inclusive). Report the name of the car and the year it was produced.\n", 
+            "id": 1
+        }, 
+        {
+            "nl": "Report all Asian automakers. Output the full name of the automaker and the country of origin\n", 
+            "id": 2
+        }, 
+        {
+            "nl": "Find all non-four cylinder cars produced in 1980 that have a better fuel economy better than 20 MPG and that accelerate to 60 mph faster than in 15 seconds. Report the name of the car and the name of the automaker.\n", 
+            "id": 3
+        }, 
+        {
+            "nl": "For each saab released after 1978, compute the ratio between the weight of the car and its number of horsepowers. Report the full name of the car, the year it was produced and the ratio.\n", 
+            "id": 4
+        }, 
+        {
+            "nl": "Find the average, maximum and minimum horsepower for 4-cylinder vehicles manufactured by renault between 1971 and 1976 inclusively.\n", 
+            "id": 5
+        }, 
+        {
+            "nl": "Find how many different car manufacturers produced a vehicle heavier than 4000 lbs.\n", 
+            "id": 6
+        }, 
+        {
+            "nl": "Find the minimum horsepower for 4-cylinder vehicles manufactured by renault between 1971 and 1976 inclusively.\n", 
+            "id": 7
+        }, 
+        {
+            "nl": "For each year when US-manufactured cars averaged less than 100 horsepowers, report the highest and the lowest engine displacement number.\n", 
+            "id": 8
+        }, 
+        {
+            "nl": "For each year in which honda produced more than 2 models, report the best, the worst and the average gas milage of a toyota vehicle.\n", 
+            "id": 9
+        }, 
+        {
+            "nl": "Report all vehicles with the best gas mileage. For each vehicle, report its full name and the year of production.\n", 
+            "id": 10
+        }, 
+        {
+            "nl": "Among the vehicles with the gas mileage, report the one with the best acceleration. Report full name and the year of production.\n", 
+            "id": 11
+        }, 
+        {
+            "nl": "For each country report the automaker with the largest number of cars in the database. Report the name of the country.\n", 
+            "id": 12
+        }, 
+        {
+            "nl": "Find the difference in gas milage between the most fuel-efficient 8-cylinder model and the least fuel-efficient 4-cylinder model. Report just the number.\n", 
+            "id": 13
+        }
+    ], 
+    "review_id": null
+}

validation_database/car_1/car_1.json

@@ -0,0 +1,216 @@
+[
+    {
+        "col_data": [
+            {
+                "column_name": "ContId",
+                "data_type": "INTEGER",
+                "default_column_name": "ContId",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 1
+            },
+            {
+                "column_name": "Continent",
+                "data_type": "TEXT",
+                "default_column_name": "Continent",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            }
+        ],
+        "table": "continents"
+    },
+    {
+        "col_data": [
+            {
+                "column_name": "CountryId",
+                "data_type": "INTEGER",
+                "default_column_name": "CountryId",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 1
+            },
+            {
+                "column_name": "CountryName",
+                "data_type": "TEXT",
+                "default_column_name": "CountryName",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Continent",
+                "data_type": "INTEGER",
+                "default_column_name": "Continent",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            }
+        ],
+        "table": "countries"
+    },
+    {
+        "col_data": [
+            {
+                "column_name": "Id",
+                "data_type": "INTEGER",
+                "default_column_name": "Id",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 1
+            },
+            {
+                "column_name": "Maker",
+                "data_type": "TEXT",
+                "default_column_name": "Maker",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "FullName",
+                "data_type": "TEXT",
+                "default_column_name": "FullName",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Country",
+                "data_type": "TEXT",
+                "default_column_name": "Country",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            }
+        ],
+        "table": "car-makers"
+    },
+    {
+        "col_data": [
+            {
+                "column_name": "MakeId",
+                "data_type": "INTEGER",
+                "default_column_name": "MakeId",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 1
+            },
+            {
+                "column_name": "Model",
+                "data_type": "TEXT",
+                "default_column_name": "Model",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Make",
+                "data_type": "TEXT",
+                "default_column_name": "Make",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            }
+        ],
+        "table": "car-names"
+    },
+    {
+        "col_data": [
+            {
+                "column_name": "Id",
+                "data_type": "INTEGER",
+                "default_column_name": "Id",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 1
+            },
+            {
+                "column_name": "MPG",
+                "data_type": "TEXT",
+                "default_column_name": "MPG",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Cylinders",
+                "data_type": "INTEGER",
+                "default_column_name": "Cylinders",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Edispl",
+                "data_type": "REAL",
+                "default_column_name": "Edispl",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Horsepower",
+                "data_type": "TEXT",
+                "default_column_name": "Horsepower",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Weight",
+                "data_type": "INTEGER",
+                "default_column_name": "Weight",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Accelerate",
+                "data_type": "REAL",
+                "default_column_name": "Accelerate",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Year",
+                "data_type": "INTEGER",
+                "default_column_name": "Year",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            }
+        ],
+        "table": "cars-data"
+    },
+    {
+        "col_data": [
+            {
+                "column_name": "ModelId",
+                "data_type": "INTEGER",
+                "default_column_name": "ModelId",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 1
+            },
+            {
+                "column_name": "Maker",
+                "data_type": "INTEGER",
+                "default_column_name": "Maker",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Model",
+                "data_type": "TEXT",
+                "default_column_name": "Model",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            }
+        ],
+        "table": "model-list"
+    }
+]

validation_database/car_1/car_1.sql

@@ -0,0 +1,52 @@
+CREATE TABLE "continents" ( 
+	"ContId" INTEGER PRIMARY KEY, 
+	"Continent" TEXT 
+);
+
+CREATE TABLE "countries" (
+	"CountryId" INTEGER PRIMARY KEY, 
+	"CountryName" TEXT, 
+	"Continent" INTEGER,
+	FOREIGN KEY (Continent) REFERENCES continents(ContId)
+);
+
+
+CREATE TABLE "car_makers" ( 
+	"Id" INTEGER PRIMARY KEY, 
+	"Maker" TEXT, 
+	"FullName" TEXT, 
+	"Country" TEXT,
+	FOREIGN KEY (Country) REFERENCES countries(CountryId)
+);
+
+
+CREATE TABLE "model_list" ( 
+	"ModelId" INTEGER PRIMARY KEY, 
+	"Maker" INTEGER, 
+	"Model" TEXT UNIQUE,
+	FOREIGN KEY (Maker) REFERENCES car_makers (Id)
+
+);
+
+
+
+CREATE TABLE "car_names" ( 
+	"MakeId" INTEGER PRIMARY KEY, 
+	"Model" TEXT, 
+	"Make" TEXT,
+	FOREIGN KEY (Model) REFERENCES model_list (Model)
+);
+
+CREATE TABLE "cars_data" (
+	"Id" INTEGER PRIMARY KEY, 
+	"MPG" TEXT, 
+	"Cylinders" INTEGER, 
+	"Edispl" REAL, 
+	"Horsepower" TEXT, 
+	"Weight" INTEGER, 
+	"Accelerate" REAL, 
+	"Year" INTEGER,
+	FOREIGN KEY (Id) REFERENCES car_names (MakeId)
+);
+
+

validation_database/car_1/data_csv/README.CARS.TXT

@@ -0,0 +1,149 @@
+*****************************************************
+CPE 365                                 Alex Dekhtyar
+Cal Poly		  Computer Science Department
+San Luis Obispo                College of Engineering 
+California                   [email protected]   
+*****************************************************
+		   CARS DATASET
+                   Version 1.0
+                September 26, 2007
+*****************************************************
+Sources:
+         The Committee on Statistical Graphics of 
+         the American  Statistical Association (ASA)  
+         1983 Cars dataset
+         available (among other places) from
+         CMU's StatLib server: 
+                  http://lib.stat.cmu.edu/datasets/
+
+******************************************************
+
+
+This file describes the contents of the CARS dataset
+developed for the CPE 365, Introduction to Databases
+course at Cal Poly.
+
+The dataset is a normalized and slightly enhanced version
+of the ASA's Committee on Statistical Graphics "cars" 
+dataset offered in 1983 for the visualization competition.
+Please refer to the original dataset description
+in the file "cars.desc" included with this distribution for
+historical purposes. (please, note, cars.desc file does not
+describe the format of this dataset  correctly).
+
+
+The dataset describes the origins and different parameters
+of 406 car models produced in the world between 1970 and 1982.
+The dataset consists of the following files:
+
+General Conventions.
+
+ 1. All files in the dataset are CSV (comma-separated values) files.
+ 2. First line of each file provides the names of
+    columns. Second line may be empty, or may contain
+    the first row of the data
+ 3. All string values are enclosed in single quotes (')
+
+  - car-makers.csv  : information about companies that produce cars
+  - car-names.csv  : information about specific cars (by name)
+  - cars-data.csv  : operational parameters of the cars
+  - continents.csv : list of continents
+  - countries.csv  : list of countries 
+  - model-list.csv : information about car models produced by car makers
+
+
+The core of the dataset consists of four files: car-makes.csv, model-list.csv,
+car-names.csv and cars-data.csv.  The first file identifies companies
+that produce cars (e.g, "Ford Motor Company", "Toyota"), the second file
+lists various models and identified their makes (e.g., "Ford" and "Mercury" 
+produced by Ford, "Oldsmobile" and "Chevrolet" produced by GM). The third
+file is the masterlist of 406 car makes considered in the database
+(e.g., "ford torino" or "amc rebel set"). The fourth file contains information
+about the operating parameters (see below for a full list) for each make.
+
+
+Individual files have the following formats.
+
+
+**************************************************************************
+
+car-makers.csv
+
+          Id : unique identifier of the car maker
+       Maker : short nickname for the car maker
+    FullName : full name of the car maker
+     Country : Id of the home country of the maker (see countries.CountryId)
+
+
+
+**************************************************************************
+
+car-names.csv
+
+          MakeId : unique identifier of the car make 
+           Model : unique name of the car model (see model-list.Model)
+ MakeDescription : description (name) of the car make
+
+
+
+**************************************************************************
+
+
+cars-data.csv
+
+            Id : unique identifier of the car make (see car-names.MakeId)
+           MPG : milage per gallon
+     Cylinders : number of cylinders
+        Edispl : engine displacement volume in cubic inches
+    Horsepower : power of the engine in horsepowers
+        Weight : weight of the car in lbs
+    Accelerate : time to accelerate from 0 to 60mph in seconds (possibly
+		 with fractions of a second)
+          Year : year the car was made
+
+
+NOTE: this file adds the Id attribute to the original cars.data file from
+       the ASA cars dataset, removes the Origin attribute (the origin is
+       now dealt with elsewhere), and modifies year to be the actual year
+       rather than "year - 1900".
+
+
+
+**************************************************************************
+
+
+continents.csv
+ 
+        ContId : unique identifier of the continent
+     Continent : name of the continent
+
+
+**************************************************************************
+
+countries.csv
+
+     CountryId : unique identifier of the country
+   CountryName : name of the country
+     Continent : unique identifier of the continent the country is on 
+                 (see continents.ContId)
+
+
+**************************************************************************
+
+model-list.csv
+
+    ModelId : unique identifier of the car model
+      Maker : unique identifier of the car maker (see car-makers.id)
+      Model : name of the car model (also unique)
+
+
+
+**************************************************************************
+**************************************************************************
+
+
+
+
+
+
+

validation_database/car_1/data_csv/car-makers.csv

@@ -0,0 +1,24 @@
+Id,Maker,FullName,Country
+1,'amc','American Motor Company',1
+2,'volkswagen','Volkswagen',2
+3,'bmw','BMW',2
+4,'gm','General Motors',1
+5,'ford','Ford Motor Company',1
+6,'chrysler','Chrysler',1
+7,'citroen','Citroen',3
+8,'nissan','Nissan Motors',4
+9,'fiat','Fiat',5
+10,'hi','hi',null
+11,'honda','Honda',4
+12,'mazda','Mazda',4
+13,'daimler benz','Daimler Benz',2
+14,'opel','Opel',2
+15,'peugeaut','Peugeaut',3
+16,'renault','Renault',3
+17,'saab','Saab',6
+18,'subaru','Subaru',4
+19,'toyota','Toyota',4
+20,'triumph','Triumph',7
+21,'volvo','Volvo',6
+22,'kia','Kia Motors',8
+23,'hyundai','Hyundai',8

validation_database/car_1/data_csv/car-names.csv

@@ -0,0 +1,407 @@
+Id,Model,Make
+1,'chevrolet','chevrolet chevelle malibu'
+2,'buick','buick skylark 320'
+3,'plymouth','plymouth satellite'
+4,'amc','amc rebel sst'
+5,'ford','ford torino'
+6,'ford','ford galaxie 500'
+7,'chevrolet','chevrolet impala'
+8,'plymouth','plymouth fury iii'
+9,'pontiac','pontiac catalina'
+10,'amc','amc ambassador dpl'
+11,'citroen','citroen ds-21 pallas'
+12,'chevrolet','chevrolet chevelle concours (sw)'
+13,'ford','ford torino (sw)'
+14,'plymouth','plymouth satellite (sw)'
+15,'amc','amc rebel sst (sw)'
+16,'dodge','dodge challenger se'
+17,'plymouth','plymouth cuda 340'
+18,'ford','ford mustang boss 302'
+19,'chevrolet','chevrolet monte carlo'
+20,'buick','buick estate wagon (sw)'
+21,'toyota','toyota corona mark ii'
+22,'plymouth','plymouth duster'
+23,'amc','amc hornet'
+24,'ford','ford maverick'
+25,'datsun','datsun pl510'
+26,'volkswagen','volkswagen 1131 deluxe sedan'
+27,'peugeot','peugeot 504'
+28,'audi','audi 100 ls'
+29,'saab','saab 99e'
+30,'bmw','bmw 2002'
+31,'amc','amc gremlin'
+32,'ford','ford f250'
+33,'chevrolet','chevy c20'
+34,'dodge','dodge d200'
+35,'hi','hi 1200d'
+36,'datsun','datsun pl510'
+37,'chevrolet','chevrolet vega 2300'
+38,'toyota','toyota corona'
+39,'ford','ford pinto'
+40,'volkswagen','volkswagen super beetle 117'
+41,'amc','amc gremlin'
+42,'plymouth','plymouth satellite custom'
+43,'chevrolet','chevrolet chevelle malibu'
+44,'ford','ford torino 500'
+45,'amc','amc matador'
+46,'chevrolet','chevrolet impala'
+47,'pontiac','pontiac catalina brougham'
+48,'ford','ford galaxie 500'
+49,'plymouth','plymouth fury iii'
+50,'dodge','dodge monaco (sw)'
+51,'ford','ford country squire (sw)'
+52,'pontiac','pontiac safari (sw)'
+53,'amc','amc hornet sportabout (sw)'
+54,'chevrolet','chevrolet vega (sw)'
+55,'pontiac','pontiac firebird'
+56,'ford','ford mustang'
+57,'mercury','mercury capri 2000'
+58,'opel','opel 1900'
+59,'peugeot','peugeot 304'
+60,'fiat','fiat 124b'
+61,'toyota','toyota corolla 1200'
+62,'datsun','datsun 1200'
+63,'volkswagen','volkswagen model 111'
+64,'plymouth','plymouth cricket'
+65,'toyota','toyota corona hardtop'
+66,'dodge','dodge colt hardtop'
+67,'volkswagen','volkswagen type 3'
+68,'chevrolet','chevrolet vega'
+69,'ford','ford pinto runabout'
+70,'chevrolet','chevrolet impala'
+71,'pontiac','pontiac catalina'
+72,'plymouth','plymouth fury iii'
+73,'ford','ford galaxie 500'
+74,'amc','amc ambassador sst'
+75,'mercury','mercury marquis'
+76,'buick','buick lesabre custom'
+77,'oldsmobile','oldsmobile delta 88 royale'
+78,'chrysler','chrysler newport royal'
+79,'mazda','mazda rx2 coupe'
+80,'amc','amc matador (sw)'
+81,'chevrolet','chevrolet chevelle concours (sw)'
+82,'ford','ford gran torino (sw)'
+83,'plymouth','plymouth satellite custom (sw)'
+84,'volvo','volvo 145e (sw)'
+85,'volkswagen','volkswagen 411 (sw)'
+86,'peugeot','peugeot 504 (sw)'
+87,'renault','renault 12 (sw)'
+88,'ford','ford pinto (sw)'
+89,'datsun','datsun 510 (sw)'
+90,'toyota','toyota corona mark ii (sw)'
+91,'dodge','dodge colt (sw)'
+92,'toyota','toyota corolla 1600 (sw)'
+93,'buick','buick century 350'
+94,'amc','amc matador'
+95,'chevrolet','chevrolet malibu'
+96,'ford','ford gran torino'
+97,'dodge','dodge coronet custom'
+98,'mercury','mercury marquis brougham'
+99,'chevrolet','chevrolet caprice classic'
+100,'ford','ford ltd'
+101,'plymouth','plymouth fury gran sedan'
+102,'chrysler','chrysler new yorker brougham'
+103,'buick','buick electra 225 custom'
+104,'amc','amc ambassador brougham'
+105,'plymouth','plymouth valiant'
+106,'chevrolet','chevrolet nova custom'
+107,'amc','amc hornet'
+108,'ford','ford maverick'
+109,'plymouth','plymouth duster'
+110,'volkswagen','volkswagen super beetle'
+111,'chevrolet','chevrolet impala'
+112,'ford','ford country'
+113,'plymouth','plymouth custom suburb'
+114,'oldsmobile','oldsmobile vista cruiser'
+115,'amc','amc gremlin'
+116,'toyota','toyota carina'
+117,'chevrolet','chevrolet vega'
+118,'datsun','datsun 610'
+119,'mazda','mazda rx3'
+120,'ford','ford pinto'
+121,'mercury','mercury capri v6'
+122,'fiat','fiat 124 sport coupe'
+123,'chevrolet','chevrolet monte carlo s'
+124,'pontiac','pontiac grand prix'
+125,'fiat','fiat 128'
+126,'opel','opel manta'
+127,'audi','audi 100ls'
+128,'volvo','volvo 144ea'
+129,'dodge','dodge dart custom'
+130,'saab','saab 99le'
+131,'toyota','toyota mark ii'
+132,'oldsmobile','oldsmobile omega'
+133,'plymouth','plymouth duster'
+134,'ford','ford maverick'
+135,'amc','amc hornet'
+136,'chevrolet','chevrolet nova'
+137,'datsun','datsun b210'
+138,'ford','ford pinto'
+139,'toyota','toyota corolla 1200'
+140,'chevrolet','chevrolet vega'
+141,'chevrolet','chevrolet chevelle malibu classic'
+142,'amc','amc matador'
+143,'plymouth','plymouth satellite sebring'
+144,'ford','ford gran torino'
+145,'buick','buick century luxus (sw)'
+146,'dodge','dodge coronet custom (sw)'
+147,'ford','ford gran torino (sw)'
+148,'amc','amc matador (sw)'
+149,'audi','audi fox'
+150,'volkswagen','volkswagen dasher'
+151,'opel','opel manta'
+152,'toyota','toyota corona'
+153,'datsun','datsun 710'
+154,'dodge','dodge colt'
+155,'fiat','fiat 128'
+156,'fiat','fiat 124 tc'
+157,'honda','honda civic'
+158,'subaru','subaru'
+159,'fiat','fiat x1.9'
+160,'plymouth','plymouth valiant custom'
+161,'chevrolet','chevrolet nova'
+162,'mercury','mercury monarch'
+163,'ford','ford maverick'
+164,'pontiac','pontiac catalina'
+165,'chevrolet','chevrolet bel air'
+166,'plymouth','plymouth grand fury'
+167,'ford','ford ltd'
+168,'buick','buick century'
+169,'chevrolet','chevrolet chevelle malibu'
+170,'amc','amc matador'
+171,'plymouth','plymouth fury'
+172,'buick','buick skyhawk'
+173,'chevrolet','chevrolet monza 2+2'
+174,'ford','ford mustang ii'
+175,'toyota','toyota corolla'
+176,'ford','ford pinto'
+177,'amc','amc gremlin'
+178,'pontiac','pontiac astro'
+179,'toyota','toyota corona'
+180,'volkswagen','volkswagen dasher'
+181,'datsun','datsun 710'
+182,'ford','ford pinto'
+183,'volkswagen','volkswagen rabbit'
+184,'amc','amc pacer'
+185,'audi','audi 100ls'
+186,'peugeot','peugeot 504'
+187,'volvo','volvo 244dl'
+188,'saab','saab 99le'
+189,'honda','honda civic cvcc'
+190,'fiat','fiat 131'
+191,'opel','opel 1900'
+192,'capri','capri ii'
+193,'dodge','dodge colt'
+194,'renault','renault 12tl'
+195,'chevrolet','chevrolet chevelle malibu classic'
+196,'dodge','dodge coronet brougham'
+197,'amc','amc matador'
+198,'ford','ford gran torino'
+199,'plymouth','plymouth valiant'
+200,'chevrolet','chevrolet nova'
+201,'ford','ford maverick'
+202,'amc','amc hornet'
+203,'chevrolet','chevrolet chevette'
+204,'chevrolet','chevrolet woody'
+205,'volkswagen','vw rabbit'
+206,'honda','honda civic'
+207,'dodge','dodge aspen se'
+208,'ford','ford granada ghia'
+209,'pontiac','pontiac ventura sj'
+210,'amc','amc pacer d/l'
+211,'volkswagen','volkswagen rabbit'
+212,'datsun','datsun b-210'
+213,'toyota','toyota corolla'
+214,'ford','ford pinto'
+215,'volvo','volvo 245'
+216,'plymouth','plymouth volare premier v8'
+217,'peugeot','peugeot 504'
+218,'toyota','toyota mark ii'
+219,'mercedes-benz','mercedes-benz 280s'
+220,'cadillac','cadillac seville'
+221,'chevrolet','chevy c10'
+222,'ford','ford f108'
+223,'dodge','dodge d100'
+224,'honda','honda accord cvcc'
+225,'buick','buick opel isuzu deluxe'
+226,'renault','renault 5 gtl'
+227,'plymouth','plymouth arrow gs'
+228,'datsun','datsun f-10 hatchback'
+229,'chevrolet','chevrolet caprice classic'
+230,'oldsmobile','oldsmobile cutlass supreme'
+231,'dodge','dodge monaco brougham'
+232,'mercury','mercury cougar brougham'
+233,'chevrolet','chevrolet concours'
+234,'buick','buick skylark'
+235,'plymouth','plymouth volare custom'
+236,'ford','ford granada'
+237,'pontiac','pontiac grand prix lj'
+238,'chevrolet','chevrolet monte carlo landau'
+239,'chrysler','chrysler cordoba'
+240,'ford','ford thunderbird'
+241,'volkswagen','volkswagen rabbit custom'
+242,'pontiac','pontiac sunbird coupe'
+243,'toyota','toyota corolla liftback'
+244,'ford','ford mustang ii 2+2'
+245,'chevrolet','chevrolet chevette'
+246,'dodge','dodge colt m/m'
+247,'subaru','subaru dl'
+248,'volkswagen','volkswagen dasher'
+249,'datsun','datsun 810'
+250,'bmw','bmw 320i'
+251,'mazda','mazda rx-4'
+252,'volkswagen','volkswagen rabbit custom diesel'
+253,'ford','ford fiesta'
+254,'mazda','mazda glc deluxe'
+255,'datsun','datsun b210 gx'
+256,'honda','honda civic cvcc'
+257,'oldsmobile','oldsmobile cutlass salon brougham'
+258,'dodge','dodge diplomat'
+259,'mercury','mercury monarch ghia'
+260,'pontiac','pontiac phoenix lj'
+261,'chevrolet','chevrolet malibu'
+262,'ford','ford fairmont (auto)'
+263,'ford','ford fairmont (man)'
+264,'plymouth','plymouth volare'
+265,'amc','amc concord'
+266,'buick','buick century special'
+267,'mercury','mercury zephyr'
+268,'dodge','dodge aspen'
+269,'amc','amc concord d/l'
+270,'chevrolet','chevrolet monte carlo landau'
+271,'buick','buick regal sport coupe (turbo)'
+272,'ford','ford futura'
+273,'dodge','dodge magnum xe'
+274,'chevrolet','chevrolet chevette'
+275,'toyota','toyota corona'
+276,'datsun','datsun 510'
+277,'dodge','dodge omni'
+278,'toyota','toyota celica gt liftback'
+279,'plymouth','plymouth sapporo'
+280,'oldsmobile','oldsmobile starfire sx'
+281,'datsun','datsun 200-sx'
+282,'audi','audi 5000'
+283,'volvo','volvo 264gl'
+284,'saab','saab 99gle'
+285,'peugeot','peugeot 604sl'
+286,'volkswagen','volkswagen scirocco'
+287,'honda','honda accord lx'
+288,'pontiac','pontiac lemans v6'
+289,'mercury','mercury zephyr 6'
+290,'ford','ford fairmont 4'
+291,'amc','amc concord dl 6'
+292,'dodge','dodge aspen 6'
+293,'chevrolet','chevrolet caprice classic'
+294,'ford','ford ltd landau'
+295,'mercury','mercury grand marquis'
+296,'dodge','dodge st. regis'
+297,'buick','buick estate wagon (sw)'
+298,'ford','ford country squire (sw)'
+299,'chevrolet','chevrolet malibu classic (sw)'
+300,'chrysler','chrysler lebaron town @ country (sw)'
+301,'volkswagen','vw rabbit custom'
+302,'mazda', 'mazda glc deluxe'
+303,'dodge','dodge colt hatchback custom'
+304,'amc','amc spirit dl'
+305,'mercedes','mercedes benz 300d'
+306,'cadillac','cadillac eldorado'
+307,'peugeot','peugeot 504'
+308,'oldsmobile','oldsmobile cutlass salon brougham'
+309,'plymouth','plymouth horizon'
+310,'plymouth','plymouth horizon tc3'
+311,'datsun','datsun 210'
+312,'fiat','fiat strada custom'
+313,'buick','buick skylark limited'
+314,'chevrolet','chevrolet citation'
+315,'oldsmobile','oldsmobile omega brougham'
+316,'pontiac','pontiac phoenix'
+317,'volkswagen','vw rabbit'
+318,'toyota','toyota corolla tercel'
+319,'chevrolet','chevrolet chevette'
+320,'datsun','datsun 310'
+321,'chevrolet','chevrolet citation'
+322,'ford','ford fairmont'
+323,'amc','amc concord'
+324,'dodge','dodge aspen'
+325,'audi','audi 4000'
+326,'toyota','toyota corona liftback'
+327,'mazda','mazda 626'
+328,'datsun','datsun 510 hatchback'
+329,'toyota','toyota corolla'
+330,'mazda','mazda glc'
+331,'dodge','dodge colt'
+332,'datsun','datsun 210'
+333,'volkswagen','vw rabbit c (diesel)'
+334,'volkswagen','vw dasher (diesel)'
+335,'audi','audi 5000s (diesel)'
+336,'mercedes-benz','mercedes-benz 240d'
+337,'honda','honda civic 1500 gl'
+338,'renault','renault lecar deluxe'
+339,'subaru','subaru dl'
+340, 'volkswagen','volkswagen rabbit'
+341,'datsun','datsun 280-zx'
+342,'mazda','mazda rx-7 gs'
+343,'triumph','triumph tr7 coupe'
+344,'ford','ford mustang cobra'
+345,'honda','honda accord'
+346,'plymouth','plymouth reliant'
+347,'buick','buick skylark'
+348,'dodge','dodge aries wagon (sw)'
+349,'chevrolet','chevrolet citation'
+350,'plymouth','plymouth reliant'
+351,'toyota','toyota starlet'
+352,'plymouth','plymouth champ'
+353,'honda','honda civic 1300'
+354,'subaru','subaru'
+355,'datsun','datsun 210 mpg'
+356,'toyota','toyota tercel'
+357,'mazda','mazda glc 4'
+358,'plymouth','plymouth horizon 4'
+359,'ford','ford escort 4w'
+360,'ford','ford escort 2h'
+361,'volkswagen','volkswagen jetta'
+362,'renault','renault 18i'
+363,'honda','honda prelude'
+364,'toyota','toyota corolla'
+365,'datsun','datsun 200sx'
+366,'mazda','mazda 626'
+367,'peugeot','peugeot 505s turbo diesel'
+368,'saab','saab 900s'
+369,'volvo','volvo diesel'
+370,'toyota','toyota cressida'
+371,'datsun','datsun 810 maxima'
+372,'buick','buick century'
+373,'oldsmobile','oldsmobile cutlass ls'
+374,'ford','ford granada gl'
+375,'chrysler','chrysler lebaron salon'
+376,'chevrolet','chevrolet cavalier'
+377,'chevrolet','chevrolet cavalier wagon'
+378,'chevrolet','chevrolet cavalier 2-door'
+379,'pontiac','pontiac j2000 se hatchback'
+380,'dodge','dodge aries se'
+381,'pontiac','pontiac phoenix'
+382,'ford','ford fairmont futura'
+383,'amc','amc concord dl'
+384,'volkswagen','volkswagen rabbit l'
+385,'mazda','mazda glc custom l'
+386,'mazda','mazda glc custom'
+387,'plymouth','plymouth horizon miser'
+388,'mercury','mercury lynx l'
+389,'nissan','nissan stanza xe'
+390,'honda','honda accord'
+391,'toyota','toyota corolla'
+392,'honda','honda civic'
+393,'honda','honda civic (auto)'
+394,'datsun','datsun 310 gx'
+395,'buick','buick century limited'
+396,'oldsmobile','oldsmobile cutlass ciera (diesel)'
+397,'chrysler','chrysler lebaron medallion'
+398,'ford','ford granada l'
+399,'toyota','toyota celica gt'
+400,'dodge','dodge charger 2.2'
+401,'chevrolet','chevrolet camaro'
+402,'ford','ford mustang gl'
+403,'volkswagen','vw pickup'
+404,'dodge','dodge rampage'
+405,'ford','ford ranger'
+406,'chevrolet','chevy s-10'

validation_database/car_1/data_csv/cars-data.csv

@@ -0,0 +1,407 @@
+Id,MPG,Cylinders,Edispl,Horsepower,Weight,Accelerate,Year
+1,18,8,307,130,3504,12,1970
+2,15,8,350,165,3693,11.5,1970
+3,18,8,318,150,3436,11,1970
+4,16,8,304,150,3433,12,1970
+5,17,8,302,140,3449,10.5,1970
+6,15,8,429,198,4341,10,1970
+7,14,8,454,220,4354,9,1970
+8,14,8,440,215,4312,8.5,1970
+9,14,8,455,225,4425,10,1970
+10,15,8,390,190,3850,8.5,1970
+11,null,4,133,115,3090,17.5,1970
+12,null,8,350,165,4142,11.5,1970
+13,null,8,351,153,4034,11,1970
+14,null,8,383,175,4166,10.5,1970
+15,null,8,360,175,3850,11,1970
+16,15,8,383,170,3563,10,1970
+17,14,8,340,160,3609,8,1970
+18,null,8,302,140,3353,8,1970
+19,15,8,400,150,3761,9.5,1970
+20,14,8,455,225,3086,10,1970
+21,24,4,113,95,2372,15,1970
+22,22,6,198,95,2833,15.5,1970
+23,18,6,199,97,2774,15.5,1970
+24,21,6,200,85,2587,16,1970
+25,27,4,97,88,2130,14.5,1970
+26,26,4,97,46,1835,20.5,1970
+27,25,4,110,87,2672,17.5,1970
+28,24,4,107,90,2430,14.5,1970
+29,25,4,104,95,2375,17.5,1970
+30,26,4,121,113,2234,12.5,1970
+31,21,6,199,90,2648,15,1970
+32,10,8,360,215,4615,14,1970
+33,10,8,307,200,4376,15,1970
+34,11,8,318,210,4382,13.5,1970
+35,9,8,304,193,4732,18.5,1970
+36,27,4,97,88,2130,14.5,1971
+37,28,4,140,90,2264,15.5,1971
+38,25,4,113,95,2228,14,1971
+39,25,4,98,null,2046,19,1971
+40,null,4,97,48,1978,20,1971
+41,19,6,232,100,2634,13,1971
+42,16,6,225,105,3439,15.5,1971
+43,17,6,250,100,3329,15.5,1971
+44,19,6,250,88,3302,15.5,1971
+45,18,6,232,100,3288,15.5,1971
+46,14,8,350,165,4209,12,1971
+47,14,8,400,175,4464,11.5,1971
+48,14,8,351,153,4154,13.5,1971
+49,14,8,318,150,4096,13,1971
+50,12,8,383,180,4955,11.5,1971
+51,13,8,400,170,4746,12,1971
+52,13,8,400,175,5140,12,1971
+53,18,6,258,110,2962,13.5,1971
+54,22,4,140,72,2408,19,1971
+55,19,6,250,100,3282,15,1971
+56,18,6,250,88,3139,14.5,1971
+57,23,4,122,86,2220,14,1971
+58,28,4,116,90,2123,14,1971
+59,30,4,79,70,2074,19.5,1971
+60,30,4,88,76,2065,14.5,1971
+61,31,4,71,65,1773,19,1971
+62,35,4,72,69,1613,18,1971
+63,27,4,97,60,1834,19,1971
+64,26,4,91,70,1955,20.5,1971
+65,24,4,113,95,2278,15.5,1972
+66,25,4,97.5,80,2126,17,1972
+67,23,4,97,54,2254,23.5,1972
+68,20,4,140,90,2408,19.5,1972
+69,21,4,122,86,2226,16.5,1972
+70,13,8,350,165,4274,12,1972
+71,14,8,400,175,4385,12,1972
+72,15,8,318,150,4135,13.5,1972
+73,14,8,351,153,4129,13,1972
+74,17,8,304,150,3672,11.5,1972
+75,11,8,429,208,4633,11,1972
+76,13,8,350,155,4502,13.5,1972
+77,12,8,350,160,4456,13.5,1972
+78,13,8,400,190,4422,12.5,1972
+79,19,3,70,97,2330,13.5,1972
+80,15,8,304,150,3892,12.5,1972
+81,13,8,307,130,4098,14,1972
+82,13,8,302,140,4294,16,1972
+83,14,8,318,150,4077,14,1972
+84,18,4,121,112,2933,14.5,1972
+85,22,4,121,76,2511,18,1972
+86,21,4,120,87,2979,19.5,1972
+87,26,4,96,69,2189,18,1972
+88,22,4,122,86,2395,16,1972
+89,28,4,97,92,2288,17,1972
+90,23,4,120,97,2506,14.5,1972
+91,28,4,98,80,2164,15,1972
+92,27,4,97,88,2100,16.5,1972
+93,13,8,350,175,4100,13,1973
+94,14,8,304,150,3672,11.5,1973
+95,13,8,350,145,3988,13,1973
+96,14,8,302,137,4042,14.5,1973
+97,15,8,318,150,3777,12.5,1973
+98,12,8,429,198,4952,11.5,1973
+99,13,8,400,150,4464,12,1973
+100,13,8,351,158,4363,13,1973
+101,14,8,318,150,4237,14.5,1973
+102,13,8,440,215,4735,11,1973
+103,12,8,455,225,4951,11,1973
+104,13,8,360,175,3821,11,1973
+105,18,6,225,105,3121,16.5,1973
+106,16,6,250,100,3278,18,1973
+107,18,6,232,100,2945,16,1973
+108,18,6,250,88,3021,16.5,1973
+109,23,6,198,95,2904,16,1973
+110,26,4,97,46,1950,21,1973
+111,11,8,400,150,4997,14,1973
+112,12,8,400,167,4906,12.5,1973
+113,13,8,360,170,4654,13,1973
+114,12,8,350,180,4499,12.5,1973
+115,18,6,232,100,2789,15,1973
+116,20,4,97,88,2279,19,1973
+117,21,4,140,72,2401,19.5,1973
+118,22,4,108,94,2379,16.5,1973
+119,18,3,70,90,2124,13.5,1973
+120,19,4,122,85,2310,18.5,1973
+121,21,6,155,107,2472,14,1973
+122,26,4,98,90,2265,15.5,1973
+123,15,8,350,145,4082,13,1973
+124,16,8,400,230,4278,9.5,1973
+125,29,4,68,49,1867,19.5,1973
+126,24,4,116,75,2158,15.5,1973
+127,20,4,114,91,2582,14,1973
+128,19,4,121,112,2868,15.5,1973
+129,15,8,318,150,3399,11,1973
+130,24,4,121,110,2660,14,1973
+131,20,6,156,122,2807,13.5,1973
+132,11,8,350,180,3664,11,1973
+133,20,6,198,95,3102,16.5,1974
+134,21,6,200,null,2875,17,1974
+135,19,6,232,100,2901,16,1974
+136,15,6,250,100,3336,17,1974
+137,31,4,79,67,1950,19,1974
+138,26,4,122,80,2451,16.5,1974
+139,32,4,71,65,1836,21,1974
+140,25,4,140,75,2542,17,1974
+141,16,6,250,100,3781,17,1974
+142,16,6,258,110,3632,18,1974
+143,18,6,225,105,3613,16.5,1974
+144,16,8,302,140,4141,14,1974
+145,13,8,350,150,4699,14.5,1974
+146,14,8,318,150,4457,13.5,1974
+147,14,8,302,140,4638,16,1974
+148,14,8,304,150,4257,15.5,1974
+149,29,4,98,83,2219,16.5,1974
+150,26,4,79,67,1963,15.5,1974
+151,26,4,97,78,2300,14.5,1974
+152,31,4,76,52,1649,16.5,1974
+153,32,4,83,61,2003,19,1974
+154,28,4,90,75,2125,14.5,1974
+155,24,4,90,75,2108,15.5,1974
+156,26,4,116,75,2246,14,1974
+157,24,4,120,97,2489,15,1974
+158,26,4,108,93,2391,15.5,1974
+159,31,4,79,67,2000,16,1974
+160,19,6,225,95,3264,16,1975
+161,18,6,250,105,3459,16,1975
+162,15,6,250,72,3432,21,1975
+163,15,6,250,72,3158,19.5,1975
+164,16,8,400,170,4668,11.5,1975
+165,15,8,350,145,4440,14,1975
+166,16,8,318,150,4498,14.5,1975
+167,14,8,351,148,4657,13.5,1975
+168,17,6,231,110,3907,21,1975
+169,16,6,250,105,3897,18.5,1975
+170,15,6,258,110,3730,19,1975
+171,18,6,225,95,3785,19,1975
+172,21,6,231,110,3039,15,1975
+173,20,8,262,110,3221,13.5,1975
+174,13,8,302,129,3169,12,1975
+175,29,4,97,75,2171,16,1975
+176,23,4,140,83,2639,17,1975
+177,20,6,232,100,2914,16,1975
+178,23,4,140,78,2592,18.5,1975
+179,24,4,134,96,2702,13.5,1975
+180,25,4,90,71,2223,16.5,1975
+181,24,4,119,97,2545,17,1975
+182,18,6,171,97,2984,14.5,1975
+183,29,4,90,70,1937,14,1975
+184,19,6,232,90,3211,17,1975
+185,23,4,115,95,2694,15,1975
+186,23,4,120,88,2957,17,1975
+187,22,4,121,98,2945,14.5,1975
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+282,20.3,5,131,103,2830,15.9,1978
+283,17,6,163,125,3140,13.6,1978
+284,21.6,4,121,115,2795,15.7,1978
+285,16.2,6,163,133,3410,15.8,1978
+286,31.5,4,89,71,1990,14.9,1978
+287,29.5,4,98,68,2135,16.6,1978
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+297,16.9,8,350,155,4360,14.9,1979
+298,15.5,8,351,142,4054,14.3,1979
+299,19.2,8,267,125,3605,15,1979
+300,18.5,8,360,150,3940,13,1979
+301,31.9,4,89,71,1925,14,1979
+302,34.1,4,86,65,1975,15.2,1979
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+304,27.4,4,121,80,2670,15,1979
+305,25.4,5,183,77,3530,20.1,1979
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+308,23.9,8,260,90,3420,22.2,1979
+309,34.2,4,105,70,2200,13.2,1979
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+317,41.5,4,98,76,2144,14.7,1980
+318,38.1,4,89,60,1968,18.8,1980
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validation_database/car_1/data_csv/cars.desc

@@ -0,0 +1,94 @@
+The Committee on Statistical Graphics of the American Statistical
+Association (ASA) invites you to participate in its Second (1983)
+Exposition of Statistical Graphics Technology. The purposes of the
+Exposition are (l) to provide a forum in which users and providers of
+statistical graphics technology can exchange information and ideas and
+(2) to expose those members of the ASA community who are less familiar
+with statistical graphics to its capabilities and potential benefits
+to them. The Exposition wil1 be held in conjunction with the Annual
+Meetings in Toronto, August 15-18, 1983 and is tentatively scheduled
+for the afternoon of Wednesday, August 17.
+
+Seven providers of statistical graphics technology participated in the
+l982 Exposition. By all accounts, the Exposition was well received by
+the ASA community and was a worthwhile experience for the
+participants. We hope to have those seven involved again this year,
+along with as many new participants as we can muster. The 1982
+Exposition was summarized in a paper to appear in the Proceeding of
+the Statistical Computing Section. A copy of that paper is enclosed
+for your information.
+
+The basic format of the 1983 Exposition will be similar to that of
+1982. However, based upon comments received and experience gained,
+there are some changes. The basic structure, intended to be simpler
+and more flexible than last year, is as follows:
+
+A fixed data set is to be analyzed. This data set is a version of the
+CRCARS data set of
+
+    Donoho, David and Ramos, Ernesto (1982), ``PRIMDATA:
+      Data Sets for Use With PRIM-H'' (DRAFT).
+
+Because of the Committee's limited (zero) budget for the Exposition,
+we are forced to provide the data in hardcopy form only (enclosed).
+(Sorry!)
+
+There are 406 observations on the following 8 variables: MPG (miles
+per gallon), # cylinders, engine displacement (cu. inches), horsepower,
+vehicle weight (lbs.), time to accelerate from O to 60 mph (sec.),
+model year (modulo 100), and origin of car (1. American, 2. European,
+3. Japanese). These data appear on seven pages. Also provided are the
+car labels (types) in the same order as the 8 variables on seven
+separate pages. Missing data values are marked by series of question
+marks.
+
+You are asked to analyze these data using your statistical graphics
+software. Your objective should be to achieve graphical displays which
+will be meaningful to the viewers and highlight relevant aspects of
+the data. If you can best achieve this using simple graphical formats,
+fine. If you choose to illustrate some of the more sophisticated
+capabilities of your software and can do so without losing relevancy
+to the data, that is fine, too. This year, there will be no Committee
+commentary on the individual presentations, so you are not competing
+with other presenters. The role of each presenter is to do his/her
+best job of presenting their statistical graphics technology to the
+viewers.
+
+Each participant will be provided with a 6'(long) by 4'(tall)
+posterboard on which to display the results of their analyses. This is
+the same format as last year. You are encouraged to remain by your
+presentation during the Exposition to answer viewers' questions. Three
+copies of your presentation must be submitted to me by July 1. Movie
+or slide show presentations cannot be accommodated (sorry). The
+Committee will prepare its own poster presentation which will orient
+the viewers to the data and the purposes of the Exposition.
+
+The ASA has asked us to remind all participants that the Exposition is
+intended for educational and scientific purposes and is not a
+marketing activity. Even though last year's participants did an
+excellent job of maintaining that distinction, a cautionary note at
+this point is appropriate.
+
+Those of us who were involved with the 1982 Exposition found it
+worthwhile and fun to do. We would very much like to have you
+participate this year. For planning purposes, please RSVP (to me, in
+writing please) by April 15 as to whether you plan to accept the
+Committee's invitation.
+
+If you have any questions about the Exposition, please call me on
+(301/763-5350). If you have specific questions about the data, or the
+analysis, please call Karen Kafadar on (301/921-3651). If you cannot
+participate but know of another person or group in your organization
+who can, please pass this invitation along to them.
+
+Sincerely,
+
+ 
+
+LAWRENCE H. COX
+Statistical Research Division
+Bureau of the Census
+Room 3524-3
+Washington, DC 20233
+
+               

validation_database/car_1/data_csv/continents.csv

@@ -0,0 +1,6 @@
+ContId,Continent
+1,'america'
+2,'europe'
+3,'asia'
+4,'africa'
+5,'australia'

validation_database/car_1/data_csv/countries.csv

@@ -0,0 +1,16 @@
+CountryId,CountryName,Continent
+1,'usa',1
+2,'germany',2
+3,'france',2
+4,'japan',3
+5,'italy',2
+6,'sweden',2
+7,'uk',2
+8,'korea',3
+9,'russia',2
+10,'nigeria',4
+11,'australia',5
+12,'new zealand',5
+13,'egypt',4
+14,'mexico',1
+15,'brazil',1

validation_database/car_1/data_csv/model-list.csv

@@ -0,0 +1,37 @@
+ModelId,Maker,Model
+1,1,'amc'
+2,2,'audi'
+3,3,'bmw'
+4,4,'buick'
+5,4,'cadillac'
+6,5,'capri'
+7,4,'chevrolet'
+8,6,'chrysler'
+9,7,'citroen'
+10,8,'datsun'
+11,6,'dodge'
+12,9,'fiat'
+13,5,'ford'
+14,10,'hi'
+15,11,'honda'
+16,12,'mazda'
+17,13,'mercedes'
+18,13,'mercedes-benz'
+19,5,'mercury'
+20,8,'nissan'
+21,4,'oldsmobile'
+22,14,'opel'
+23,15,'peugeot'
+24,6,'plymouth'
+25,4,'pontiac'
+26,16,'renault'
+27,17,'saab'
+28,18,'subaru'
+29,19,'toyota'
+30,20,'triumph'
+31,2,'volkswagen'
+32,21,'volvo'
+33,22,'kia'
+34,23,'hyundai'
+35,6,'jeep'
+36,19,'scion'

validation_database/car_1/link.txt

@@ -0,0 +1 @@
+http://users.csc.calpoly.edu/~dekhtyar/365-Spring2017/index.html

validation_database/car_1/q.txt

@@ -0,0 +1,27 @@
+Find all Reanults (’renault’) in the database. For each, report the name and the year.
+
+Find all cars produced by Volvo between 1977 and 1981 (inclusive). Report the name of the car and the year it was produced.
+
+Report all Asian automakers. Output the full name of the automaker and the country of origin
+
+Find all non-four cylinder cars produced in 1980 that have a better fuel economy better than 20 MPG and that accelerate to 60 mph faster than in 15 seconds. Report the name of the car and the name of the automaker.
+
+For each saab released after 1978, compute the ratio between the weight of the car and its number of horsepowers. Report the full name of the car, the year it was produced and the ratio.
+
+Find the average, maximum and minimum horsepower for 4-cylinder vehicles manufactured by renault between 1971 and 1976 inclusively.
+
+Find how many different car manufacturers produced a vehicle heavier than 4000 lbs.
+
+Find the minimum horsepower for 4-cylinder vehicles manufactured by renault between 1971 and 1976 inclusively.
+
+For each year when US-manufactured cars averaged less than 100 horsepowers, report the highest and the lowest engine displacement number.
+
+For each year in which honda produced more than 2 models, report the best, the worst and the average gas milage of a toyota vehicle.
+
+Report all vehicles with the best gas mileage. For each vehicle, report its full name and the year of production.
+
+Among the vehicles with the gas mileage, report the one with the best acceleration. Report full name and the year of production.
+
+For each country report the automaker with the largest number of cars in the database. Report the name of the country.
+
+Find the difference in gas milage between the most fuel-efficient 8-cylinder model and the least fuel-efficient 4-cylinder model. Report just the number.

validation_database/concert_singer/schema.sql

@@ -0,0 +1,85 @@
+PRAGMA foreign_keys = ON;
+
+
+CREATE TABLE "stadium" (
+"Stadium_ID" int,
+"Location" text,
+"Name" text,
+"Capacity" int,
+"Highest" int,
+"Lowest" int,
+"Average" int,
+PRIMARY KEY ("Stadium_ID")
+);
+
+
+INSERT INTO  "stadium" VALUES (1,"Raith Rovers","Stark's Park","10104","4812","1294","2106");
+INSERT INTO  "stadium" VALUES (2,"Ayr United","Somerset Park","11998","2363","1057","1477");
+INSERT INTO  "stadium" VALUES (3,"East Fife","Bayview Stadium","2000","1980","533","864");
+INSERT INTO  "stadium" VALUES (4,"Queen's Park","Hampden Park","52500","1763","466","730");
+INSERT INTO  "stadium" VALUES (5,"Stirling Albion","Forthbank Stadium","3808","1125","404","642");
+INSERT INTO  "stadium" VALUES (6,"Arbroath","Gayfield Park","4125","921","411","638");
+INSERT INTO  "stadium" VALUES (7,"Alloa Athletic","Recreation Park","3100","1057","331","637");
+INSERT INTO  "stadium" VALUES (9,"Peterhead","Balmoor","4000","837","400","615");
+INSERT INTO  "stadium" VALUES (10,"Brechin City","Glebe Park","3960","780","315","552");
+
+CREATE TABLE "singer" (
+"Singer_ID" int,
+"Name" text,
+"Country" text,
+"Song_Name" text,
+"Song_release_year" text,
+"Age" int,
+"Is_male" bool,
+PRIMARY KEY ("Singer_ID")
+);
+
+
+
+INSERT INTO  "singer" VALUES (1,"Joe Sharp","Netherlands","You","1992",52,"F");
+INSERT INTO  "singer" VALUES (2,"Timbaland","United States","Dangerous","2008",32,"T");
+INSERT INTO  "singer" VALUES (3,"Justin Brown","France","Hey Oh","2013",29,"T");
+INSERT INTO  "singer" VALUES (4,"Rose White","France","Sun","2003",41,"F");
+INSERT INTO  "singer" VALUES (5,"John Nizinik","France","Gentleman","2014",43,"T");
+INSERT INTO  "singer" VALUES (6,"Tribal King","France","Love","2016",25,"T");
+
+
+CREATE TABLE "concert" (
+"concert_ID" int,
+"concert_Name" text,
+"Theme" text,
+"Stadium_ID" text,
+"Year" text,
+PRIMARY KEY ("concert_ID"),
+FOREIGN KEY ("Stadium_ID") REFERENCES "stadium"("Stadium_ID")
+);
+
+
+
+INSERT INTO  "concert" VALUES (1,"Auditions","Free choice",1,2014);
+INSERT INTO  "concert" VALUES (2,"Super bootcamp","Free choice 2",2,2014);
+INSERT INTO  "concert" VALUES (3,"Home Visits","Bleeding Love",2,2015);
+INSERT INTO  "concert" VALUES (4,"Week 1","Wide Awake",10,2014);
+INSERT INTO  "concert" VALUES (5,"Week 1","Happy Tonight",9,2015);
+INSERT INTO  "concert" VALUES (6,"Week 2","Party All Night",7,2015);
+
+
+CREATE TABLE "singer_in_concert" (
+"concert_ID" int,
+"Singer_ID" text,
+PRIMARY KEY ("concert_ID","Singer_ID"),
+FOREIGN KEY ("concert_ID") REFERENCES "concert"("concert_ID"),
+FOREIGN KEY ("Singer_ID") REFERENCES "singer"("Singer_ID")
+);
+
+INSERT INTO  "singer_in_concert" VALUES (1, 2);
+INSERT INTO  "singer_in_concert" VALUES (1, 3);
+INSERT INTO  "singer_in_concert" VALUES (1, 5);
+INSERT INTO  "singer_in_concert" VALUES (2, 3);
+INSERT INTO  "singer_in_concert" VALUES (2, 6);
+INSERT INTO  "singer_in_concert" VALUES (3, 5);
+INSERT INTO  "singer_in_concert" VALUES (4, 4);
+INSERT INTO  "singer_in_concert" VALUES (5, 6);
+INSERT INTO  "singer_in_concert" VALUES (5, 3);
+INSERT INTO  "singer_in_concert" VALUES (6, 2);
+

validation_database/course_teach/schema.sql

@@ -0,0 +1,52 @@
+
+PRAGMA foreign_keys = ON;
+
+CREATE TABLE "course" (
+"Course_ID" int,
+"Staring_Date" text,
+"Course" text,
+PRIMARY KEY ("Course_ID")
+);
+
+CREATE TABLE "teacher" (
+"Teacher_ID" int,
+"Name" text,
+"Age" text,
+"Hometown" text,
+PRIMARY KEY ("Teacher_ID")
+);
+
+INSERT INTO  "course" VALUES ("1","5 May","Language Arts");
+INSERT INTO  "course" VALUES ("2","6 May","Math");
+INSERT INTO  "course" VALUES ("3","7 May","Science");
+INSERT INTO  "course" VALUES ("4","9 May","History");
+INSERT INTO  "course" VALUES ("5","10 May","Bible");
+INSERT INTO  "course" VALUES ("6","11 May","Geography");
+INSERT INTO  "course" VALUES ("7","13 May","Sports");
+INSERT INTO  "course" VALUES ("8","14 May","French");
+INSERT INTO  "course" VALUES ("9","15 May","Health");
+INSERT INTO  "course" VALUES ("10","17 May","Music");
+
+INSERT INTO  "teacher" VALUES (1,"Joseph Huts",32,"Blackrod Urban District");
+INSERT INTO  "teacher" VALUES (2,"Gustaaf Deloor",29,"Bolton County Borough");
+INSERT INTO  "teacher" VALUES (3,"Vicente Carretero",26,"Farnworth Municipal Borough");
+INSERT INTO  "teacher" VALUES (4,"John Deloor",33,"Horwich Urban District");
+INSERT INTO  "teacher" VALUES (5,"Kearsley Brown",45,"Kearsley Urban District");
+INSERT INTO  "teacher" VALUES (6,"Anne Walker",41,"Little Lever Urban District");
+INSERT INTO  "teacher" VALUES (7,"Lucy Wong",39,"Turton Urban District");
+
+CREATE TABLE "course_arrange" (
+"Course_ID" int,
+"Teacher_ID" int,
+"Grade" int,
+PRIMARY KEY ("Course_ID","Teacher_ID","Grade"),
+FOREIGN KEY ("Course_ID") REFERENCES `course`("Course_ID"),
+FOREIGN KEY ("Teacher_ID") REFERENCES `teacher`("Teacher_ID")
+);
+INSERT INTO  "course_arrange" VALUES (2,5,1);
+INSERT INTO  "course_arrange" VALUES (2,3,3);
+INSERT INTO  "course_arrange" VALUES (3,2,5);
+INSERT INTO  "course_arrange" VALUES (4,6,7);
+INSERT INTO  "course_arrange" VALUES (5,6,1);
+INSERT INTO  "course_arrange" VALUES (10,7,4);
+

validation_database/cre_Doc_Template_Mgt/schema.sql

@@ -0,0 +1,90 @@
+PRAGMA foreign_keys = ON;
+CREATE TABLE Ref_Template_Types (
+Template_Type_Code CHAR(15) NOT NULL,
+Template_Type_Description VARCHAR(255) NOT NULL,
+PRIMARY KEY (Template_Type_Code)
+);
+CREATE TABLE Templates (
+Template_ID INTEGER NOT NULL,
+Version_Number INTEGER NOT NULL,
+Template_Type_Code CHAR(15) NOT NULL,
+Date_Effective_From DATETIME,
+Date_Effective_To DATETIME,
+Template_Details VARCHAR(255) NOT NULL,
+PRIMARY KEY (Template_ID),
+FOREIGN KEY (Template_Type_Code) REFERENCES Ref_Template_Types (Template_Type_Code)
+);
+CREATE TABLE Documents (
+Document_ID INTEGER NOT NULL,
+Template_ID INTEGER,
+Document_Name VARCHAR(255),
+Document_Description VARCHAR(255),
+Other_Details VARCHAR(255),
+PRIMARY KEY (Document_ID),
+FOREIGN KEY (Template_ID) REFERENCES Templates (Template_ID)
+);
+CREATE TABLE Paragraphs (
+Paragraph_ID INTEGER NOT NULL,
+Document_ID INTEGER NOT NULL,
+Paragraph_Text VARCHAR(255),
+Other_Details VARCHAR(255),
+PRIMARY KEY (Paragraph_ID),
+FOREIGN KEY (Document_ID) REFERENCES Documents (Document_ID)
+);
+INSERT INTO Ref_Template_Types (`Template_Type_Code`, `Template_Type_Description`) VALUES ('PPT', 'Presentation');
+INSERT INTO Ref_Template_Types (`Template_Type_Code`, `Template_Type_Description`) VALUES ('CV', 'CV');
+INSERT INTO Ref_Template_Types (`Template_Type_Code`, `Template_Type_Description`) VALUES ('AD', 'Advertisement');
+INSERT INTO Ref_Template_Types (`Template_Type_Code`, `Template_Type_Description`) VALUES ('PP', 'Paper');
+INSERT INTO Ref_Template_Types (`Template_Type_Code`, `Template_Type_Description`) VALUES ('BK', 'Book');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (0, 5, 'PP', '2005-11-12 07:09:48', '2008-01-05 14:19:28', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (1, 9, 'PP', '2010-09-24 01:15:11', '1999-07-08 03:31:04', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (4, 4, 'BK', '2002-03-02 14:39:49', '2001-04-18 09:29:52', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (6, 2, 'PPT', '1975-05-20 22:51:19', '1992-05-02 20:06:11', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (7, 8, 'PPT', '1993-10-07 02:33:04', '1975-07-16 04:52:10', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (8, 3, 'BK', '1983-07-16 21:16:16', '1976-10-28 10:08:50', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (9, 2, 'BK', '1997-04-17 08:29:44', '1994-12-07 13:26:23', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (10, 1, 'PPT', '2003-06-05 04:03:45', '2007-06-06 06:18:53', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (11, 6, 'BK', '1996-02-04 11:27:24', '1995-09-19 22:27:48', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (14, 7, 'AD', '1975-10-20 02:28:58', '1979-11-04 08:58:39', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (15, 9, 'CV', '1986-12-09 14:51:36', '1993-03-24 14:30:23', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (16, 5, 'CV', '2012-04-05 07:11:42', '1980-05-07 12:15:47', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (18, 5, 'PP', '1984-08-07 13:36:26', '1998-05-12 12:51:29', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (19, 7, 'AD', '1999-06-21 11:10:30', '1974-09-14 06:34:39', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (20, 6, 'BK', '1986-11-14 12:20:18', '2008-08-08 18:36:43', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (21, 9, 'AD', '2002-08-25 13:26:23', '2015-09-06 01:08:44', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (22, 0, 'PP', '2005-02-20 00:31:34', '1989-11-24 19:06:06', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (23, 2, 'BK', '1979-12-24 10:28:16', '2000-10-22 11:57:12', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (24, 8, 'PP', '2008-08-01 13:57:26', '1973-01-12 14:13:34', '');
+INSERT INTO Templates (`Template_ID`, `Version_Number`, `Template_Type_Code`, `Date_Effective_From`, `Date_Effective_To`, `Template_Details`) VALUES (25, 5, 'PP', '1979-10-20 21:23:20', '2006-02-06 23:52:04', '');
+
+
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (0, 7, 'Introduction of OS', 'n', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (1, 25, 'Understanding DB', 'y', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (3, 6, 'Summer Show', 'u', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (76, 20, 'Robbin CV', 'y', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (80, 14, 'Welcome to NY', 'h', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (82, 11, 'Data base', 'w', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (2394, 10, 'Customer reviews', 'y', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (3830, 14, 'Do not panic', 'k', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (33930, 1, 'How Google people work', 'z', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (50123, 22, 'Learning French', 'r', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (651512, 21, 'How to write a CV', 'f', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (801801, 4, 'How to read a book', 'w', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (3540024, 8, 'Palm reading', 'y', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (16514113, 25, 'A history of Arts', 'h', NULL);
+INSERT INTO Documents (`Document_ID`, `Template_ID`, `Document_Name`, `Document_Description`, `Other_Details`) VALUES (385906526, 11, 'About Korea', 'b', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (7, 2394, 'Korea', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (9, 3, 'Somalia', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (65, 50123, 'Palestinian Territory', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (241, 651512, 'Jersey', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (3708, 33930, 'UK', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (9946, 385906526, 'Fiji', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (16615, 80, 'Japan', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (1104059, 3830, 'Senegal', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (243399026, 651512, 'Indonesia', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (280120913, 2394, 'Ukraine', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (510442723, 2394, 'Korea', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (571212310, 16514113, 'Brazil', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (608931827, 80, 'Micronesia', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (765713812, 16514113, 'Ireland', NULL);
+INSERT INTO Paragraphs (`Paragraph_ID`, `Document_ID`, `Paragraph_Text`, `Other_Details`) VALUES (946335436, 3540024, 'Papua New Guinea', NULL);

validation_database/dog_kennels/schema.sql

@@ -0,0 +1,172 @@
+PRAGMA foreign_keys = ON;
+CREATE TABLE `Breeds` (
+`breed_code` VARCHAR(10) PRIMARY KEY ,
+`breed_name` VARCHAR(80)
+);
+CREATE TABLE `Charges` (
+`charge_id` INTEGER PRIMARY KEY ,
+`charge_type` VARCHAR(10),
+`charge_amount` DECIMAL(19,4)
+);
+INSERT INTO Breeds (`breed_code`, `breed_name`) VALUES ('ESK', 'Eskimo');
+INSERT INTO Breeds (`breed_code`, `breed_name`) VALUES ('HUS', 'Husky');
+INSERT INTO Breeds (`breed_code`, `breed_name`) VALUES ('BUL', 'Bulldog');
+INSERT INTO Charges (`charge_id`, `charge_type`, `charge_amount`) VALUES (1, 'Daily Accommodation', '98.0000');
+INSERT INTO Charges (`charge_id`, `charge_type`, `charge_amount`) VALUES (2, 'Drugs', '322.0000');
+INSERT INTO Charges (`charge_id`, `charge_type`, `charge_amount`) VALUES (3, 'Health Check', '640.0000');
+
+CREATE TABLE `Sizes` (
+`size_code` VARCHAR(10) PRIMARY KEY ,
+`size_description` VARCHAR(80)
+);
+
+INSERT INTO Sizes (`size_code`, `size_description`) VALUES ('SML', 'Small');
+INSERT INTO Sizes (`size_code`, `size_description`) VALUES ('MED', 'Medium');
+INSERT INTO Sizes (`size_code`, `size_description`) VALUES ('LGE', 'Large');
+
+
+CREATE TABLE `Treatment_Types` (
+`treatment_type_code` VARCHAR(10) PRIMARY KEY ,
+`treatment_type_description` VARCHAR(80)
+);
+INSERT INTO Treatment_Types (`treatment_type_code`, `treatment_type_description`) VALUES ('EXAM', 'Physical examination');
+INSERT INTO Treatment_Types (`treatment_type_code`, `treatment_type_description`) VALUES ('VAC', 'Vaccination');
+INSERT INTO Treatment_Types (`treatment_type_code`, `treatment_type_description`) VALUES ('WALK', 'Take for a Walk');
+
+CREATE TABLE `Owners` (
+`owner_id` INTEGER PRIMARY KEY ,
+`first_name` VARCHAR(50),
+`last_name` VARCHAR(50),
+`street` VARCHAR(50),
+`city` VARCHAR(50),
+`state` VARCHAR(20),
+`zip_code` VARCHAR(20),
+`email_address` VARCHAR(50),
+`home_phone` VARCHAR(20),
+`cell_number` VARCHAR(20)
+);
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (1, 'Nora', 'Haley', '0647 Hintz Village Apt. 024', 'Lake Tia', 'Wisconsin', '93165', '[email protected]', '1-682-845-0116x63235', '478.978.0729');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (2, 'Melisa', 'DuBuque', '1204 Mae Highway Apt. 107', 'Port Reannamouth', 'Virginia', '45244', '[email protected]', '(799)563-0260x454', '(722)768-5439x484');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (3, 'Jaclyn', 'Stoltenberg', '2635 Caitlyn Plains', 'Barrettburgh', 'Vermont', '02647', '[email protected]', '916.976.9480x13851', '481-483-9083x37986');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (4, 'Tre', 'Hamill', '692 Jaskolski Forges', 'Brakusfurt', 'Florida', '87304', '[email protected]', '1-332-849-1908', '739-136-7202');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (5, 'Johann', 'Fisher', '68118 Daniel Row', 'Lake Valentin', 'NorthDakota', '61019', '[email protected]', '(544)034-1670', '1-626-264-7659x1697');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (6, 'Kade', 'Rippin', '51934 Treutel Harbor', 'Lake Carleyborough', 'Arizona', '25609', '[email protected]', '318-052-6573', '+70(4)9217952551');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (7, 'Emelie', 'Mertz', '2417 Keara Stravenue Apt. 146', 'Lake Jennyferfort', 'NewYork', '00589', '[email protected]', '(058)997-7627', '121.381.3316x6535');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (8, 'Rolando', 'Prohaska', '57382 Yost Ridges', 'South Afton', 'Arkansas', '86010', '[email protected]', '01802479758', '(783)271-6744x4507');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (9, 'Adelle', 'Ondricka', '9212 Rosenbaum Lights', 'East Hillardberg', 'Washington', '92406', '[email protected]', '066.264.7885', '+00(2)4323592985');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (10, 'Lorenz', 'Nicolas', '59509 Mellie Mountain', 'New Margaretteborough', 'SouthDakota', '78297', '[email protected]', '085.557.0379x84348', '559.874.3011x989');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (11, 'Gay', 'Feil', '60352 Kayleigh Crossing Suite 700', 'Port Zackery', 'Indiana', '35747', '[email protected]', '130-796-4589x05454', '762.589.6117x1328');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (12, 'Orlando', 'Price', '89011 Kertzmann Spring Suite 642', 'East Maribelbury', 'Mississippi', '11990', '[email protected]', '363.948.1090', '1-739-421-2225x38148');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (13, 'Cindy', 'Schmitt', '6950 Katherine Forges Apt. 630', 'Beerton', 'NorthDakota', '36871', '[email protected]', '(094)747-5094x8134', '633.455.3045x85484');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (14, 'Rachelle', 'Funk', '15828 Spencer Extensions', 'West Leonard', 'Maryland', '22731', '[email protected]', '1-346-655-5842x768', '(257)399-3116');
+INSERT INTO Owners (`owner_id`, `first_name`, `last_name`, `street`, `city`, `state`, `zip_code`, `email_address`, `home_phone`, `cell_number`) VALUES (15, 'Heather', 'Hauck', '1858 Jan Park', 'South Daisyfurt', 'Pennsylvania', '22693', '[email protected]', '893-862-5295x61709', '341.667.8085');
+
+
+CREATE TABLE `Dogs` (
+`dog_id` INTEGER PRIMARY KEY ,
+`owner_id` INTEGER NOT NULL,
+`abandoned_yn` VARCHAR(1),
+`breed_code` VARCHAR(10) NOT NULL,
+`size_code` VARCHAR(10) NOT NULL,
+`name` VARCHAR(50),
+`age` VARCHAR(20),
+`date_of_birth` DATETIME,
+`gender` VARCHAR(1),
+`weight` VARCHAR(20),
+`date_arrived` DATETIME,
+`date_adopted` DATETIME,
+`date_departed` DATETIME,
+FOREIGN KEY (`breed_code` ) REFERENCES `Breeds`(`breed_code` ),
+FOREIGN KEY (`size_code` ) REFERENCES `Sizes`(`size_code` ),
+FOREIGN KEY (`owner_id` ) REFERENCES `Owners`(`owner_id` ),
+FOREIGN KEY (`owner_id` ) REFERENCES `Owners`(`owner_id` )
+);
+
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (1, 3, '1', 'ESK', 'LGE', 'Kacey', '6', '2012-01-27 05:11:53', '1', '7.57', '2017-09-08 20:10:13', '2018-03-06 16:32:11', '2018-03-25 06:58:44');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (2, 11, '0', 'BUL', 'LGE', 'Hipolito', '9', '2013-02-13 05:15:21', '0', '1.72', '2017-12-22 05:02:02', '2018-03-25 08:12:51', '2018-03-25 02:11:32');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (3, 1, '0', 'BUL', 'MED', 'Mavis', '8', '2008-05-19 15:54:49', '1', '8.04', '2017-06-25 10:14:05', '2018-03-07 21:45:43', '2018-03-25 10:25:46');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (4, 14, '0', 'ESK', 'LGE', 'Houston', '5', '2008-10-09 22:38:53', '0', '2.18', '2017-04-20 00:58:55', '2018-03-18 15:12:50', '2018-03-24 19:12:22');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (5, 7, '0', 'BUL', 'MED', 'Jeffrey', '4', '2018-03-17 04:05:12', '0', '1.39', '2017-10-25 00:55:34', '2018-02-27 11:54:35', '2018-03-25 04:50:22');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (6, 5, '0', 'HUS', 'MED', 'Merritt', '9', '2015-02-26 21:31:22', '1', '9.8', '2017-04-15 09:25:31', '2018-03-08 15:03:00', '2018-03-25 13:07:04');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (7, 3, '0', 'BUL', 'MED', 'Narciso', '2', '2017-09-19 05:39:09', '1', '9.48', '2017-05-06 08:03:52', '2018-02-27 00:27:57', '2018-03-25 06:29:10');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (8, 14, '0', 'ESK', 'SML', 'George', '2', '2013-02-20 14:50:56', '0', '8.95', '2017-10-16 20:06:21', '2018-03-23 16:02:04', '2018-03-25 02:47:40');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (9, 2, '0', 'BUL', 'MED', 'Bessie', '4', '2012-05-31 08:01:36', '1', '3.52', '2018-01-17 11:44:16', '2018-02-25 23:45:30', '2018-03-25 06:46:07');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (10, 6, '0', 'HUS', 'MED', 'Troy', '9', '2012-07-11 17:15:10', '0', '8.96', '2017-12-29 06:08:26', '2018-03-18 07:47:40', '2018-03-25 04:42:14');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (11, 13, '0', 'BUL', 'LGE', 'Betty', '3', '2012-10-14 14:44:37', '0', '8.16', '2017-07-25 15:19:07', '2018-03-14 08:05:18', '2018-03-25 15:05:16');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (12, 12, '0', 'HUS', 'MED', 'Holden', '8', '2009-04-12 06:02:48', '0', '6.92', '2017-10-24 04:45:13', '2018-03-05 06:05:23', '2018-03-25 14:15:41');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (13, 8, '0', 'HUS', 'SML', 'Jesus', '2', '2012-05-03 21:42:25', '0', '5.16', '2018-01-02 03:15:29', '2018-03-21 10:41:18', '2018-03-25 05:07:47');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (14, 14, '1', 'ESK', 'MED', 'Lyric', '4', '2010-11-11 07:11:53', '0', '4.36', '2017-06-18 19:45:38', '2018-03-13 12:47:15', '2018-03-24 23:48:59');
+INSERT INTO Dogs (`dog_id`, `owner_id`, `abandoned_yn`, `breed_code`, `size_code`, `name`, `age`, `date_of_birth`, `gender`, `weight`, `date_arrived`, `date_adopted`, `date_departed`) VALUES (15, 10, '1', 'BUL', 'MED', 'Evangeline', '1', '2008-05-30 12:51:34', '1', '4.01', '2017-12-29 23:24:13', '2018-03-10 15:06:43', '2018-03-24 19:36:59');
+
+
+CREATE TABLE `Professionals` (
+`professional_id` INTEGER PRIMARY KEY ,
+`role_code` VARCHAR(10) NOT NULL,
+`first_name` VARCHAR(50),
+`street` VARCHAR(50),
+`city` VARCHAR(50),
+`state` VARCHAR(20),
+`zip_code` VARCHAR(20),
+`last_name` VARCHAR(50),
+`email_address` VARCHAR(50),
+`home_phone` VARCHAR(20),
+`cell_number` VARCHAR(20)
+);
+
+CREATE TABLE `Treatments` (
+`treatment_id` INTEGER PRIMARY KEY ,
+`dog_id` INTEGER NOT NULL,
+`professional_id` INTEGER NOT NULL,
+`treatment_type_code` VARCHAR(10) NOT NULL,
+`date_of_treatment` DATETIME,
+`cost_of_treatment` DECIMAL(19,4),
+FOREIGN KEY (`treatment_type_code` ) REFERENCES `Treatment_Types`(`treatment_type_code` ),
+FOREIGN KEY (`professional_id` ) REFERENCES `Professionals`(`professional_id` ),
+FOREIGN KEY (`dog_id` ) REFERENCES `Dogs`(`dog_id` )
+);
+
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (1, 'Employee', 'Taryn', '6915 Oberbrunner Point Suite 491
+Gleasonville, LA ', 'West Heidi', 'Indiana', '06646', 'Braun', '[email protected]', '+71(6)2898266914', '(275)939-2435x80863');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (2, 'Employee', 'Jayson', '88665 Terence Lodge Apt. 904
+Corneliusfort, NC 194', 'North Odellfurt', 'Connecticut', '43129', 'Ullrich', '[email protected]', '+02(1)0259033559', '889-940-2676');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (3, 'Employee', 'Olaf', '68589 Bradly Manor
+New Audrey, IN 91497', 'Jaceton', 'Wisconsin', '77129', 'Watsica', '[email protected]', '325-155-0801x7005', '(369)908-7311x065');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (4, 'Veterenarian', 'Vernice', '72532 Hane Course
+Lake Berylland, ND 95283', 'Domenickton', 'Mississippi', '02281', 'Tillman', '[email protected]', '312.216.3352', '00230569697');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (5, 'Veterenarian', 'Danny', '188 VonRueden Tunnel Suite 630
+North Macibury, NV ', 'New Laurytown', 'Hawaii', '84515', 'Considine', '[email protected]', '1-609-566-2752x25197', '011.193.9081x3186');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (6, 'Veterenarian', 'Ruben', '17286 Waters Green
+East Bernadinefort, CA 89573', 'Baileymouth', 'NewMexico', '52476', 'O''Reilly', '[email protected]', '+43(5)1132733868', '139-321-7313');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (7, 'Veterenarian', 'Velva', '44234 Marvin Shoals Suite 659
+North Frances, AL 23', 'McLaughlinfort', 'NorthCarolina', '67980', 'Hayes', '[email protected]', '022.529.0550x1319', '499-434-0215x1628');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (8, 'Employee', 'Karley', '36895 Eli Ferry
+Port Marcelle, FL 45712', 'Kirastad', 'Indiana', '33020', 'Hyatt', '[email protected]', '891.475.2256', '328.842.3792');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (9, 'Veterenarian', 'Monte', '07073 Brenna Ways Suite 089
+Lowehaven, KY 93275-96', 'South Rockyport', 'SouthCarolina', '80775', 'Kshlerin', '[email protected]', '320-508-6023', '962-983-8109x3509');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (10, 'Employee', 'Domenica', '7284 Torphy Flats Apt. 610
+Diannaburgh, SC 78560', 'New Maryjane', 'California', '54312', 'Jacobs', '[email protected]', '(230)338-3342x585', '461-801-2600');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (11, 'Employee', 'Brady', '09615 McKenzie Stravenue Apt. 128
+West Elliottview', 'Raynorfort', 'Alabama', '07412', 'Pouros', '[email protected]', '(920)304-4499x59146', '609-405-2990');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (12, 'Veterenarian', 'Winfield', '92912 Langworth Valleys Apt. 743
+Thompsonborough, ', 'Juddton', 'Utah', '34041', 'Christiansen', '[email protected]', '246-951-0080x76716', '1-181-670-9466');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (13, 'Veterenarian', 'Ericka', '7783 Abraham Alley
+Port Madelynhaven, KY 59172-273', 'Borisside', 'Wyoming', '17902', 'Murazik', '[email protected]', '346.594.3739', '880-659-7577x736');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (14, 'Employee', 'Sigurd', '390 Bryce Drive
+North Dock, LA 65357-7228', 'East Ila', 'Connecticut', '41215', 'Frami', '[email protected]', '971.048.3763x9404', '1-185-137-1945x409');
+INSERT INTO Professionals (`professional_id`, `role_code`, `first_name`, `street`, `city`, `state`, `zip_code`, `last_name`, `email_address`, `home_phone`, `cell_number`) VALUES (15, 'Employee', 'Lesly', '63949 Keeling Landing Apt. 502
+Johnsview, SD 06780', 'North Adelberttown', 'Montana', '98844', 'Walter', '[email protected]', '1-138-287-3775', '1-258-285-4707x8020');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (1, 14, 9, 'WALK', '2018-03-19 04:39:54', '567.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (2, 4, 10, 'VAC', '2018-03-15 20:25:34', '147.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (3, 14, 4, 'EXAM', '2018-03-08 05:26:23', '429.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (4, 2, 8, 'VAC', '2018-03-01 04:14:46', '266.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (5, 12, 14, 'VAC', '2018-03-23 13:52:10', '668.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (6, 10, 4, 'EXAM', '2018-03-11 04:23:15', '313.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (7, 15, 14, 'EXAM', '2018-03-10 11:45:58', '852.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (8, 2, 6, 'EXAM', '2018-03-24 22:25:58', '407.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (9, 14, 10, 'WALK', '2018-03-14 19:10:40', '139.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (10, 10, 7, 'WALK', '2018-02-28 17:09:43', '681.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (11, 15, 5, 'VAC', '2018-03-13 12:22:58', '514.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (12, 13, 9, 'EXAM', '2018-03-16 10:27:36', '428.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (13, 7, 8, 'VAC', '2018-02-26 09:08:53', '945.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (14, 10, 9, 'WALK', '2018-03-04 20:33:43', '349.0000');
+INSERT INTO Treatments (`treatment_id`, `dog_id`, `professional_id`, `treatment_type_code`, `date_of_treatment`, `cost_of_treatment`) VALUES (15, 1, 6, 'WALK', '2018-03-15 19:10:02', '656.0000');

validation_database/employee_hire_evaluation/schema.sql

@@ -0,0 +1,84 @@
+
+PRAGMA foreign_keys = ON;
+
+CREATE TABLE "employee" (
+"Employee_ID" int,
+"Name" text,
+"Age" int,
+"City" text,
+PRIMARY KEY ("Employee_ID")
+);
+
+
+INSERT INTO  "employee" VALUES (1, "George Chuter",23,"Bristol");
+INSERT INTO  "employee" VALUES (2,"Lee Mears",29,"Bath");
+INSERT INTO  "employee" VALUES (3,"Mark Regan",43,"Bristol");
+INSERT INTO  "employee" VALUES (4,"Jason Hobson",30,"Bristol");
+INSERT INTO  "employee" VALUES (5,"Tim Payne",29,"Wasps");
+INSERT INTO  "employee" VALUES (6,"Andrew Sheridan",28,"Sale");
+INSERT INTO  "employee" VALUES (7,"Matt Stevens",29,"Bath");
+INSERT INTO  "employee" VALUES (8,"Phil Vickery",40,"Wasps");
+INSERT INTO  "employee" VALUES (9,"Steve Borthwick",32,"Bath");
+INSERT INTO  "employee" VALUES (10,"Louis Deacon",36,"Leicester");
+
+
+
+CREATE TABLE "shop" (
+"Shop_ID" int,
+"Name" text,
+"Location" text,
+"District" text,
+"Number_products" int,
+"Manager_name" text,
+PRIMARY KEY ("Shop_ID")
+);
+
+
+INSERT INTO  "shop" VALUES (1,"FC Haka","Valkeakoski","Tehtaan kenttä","3516","Olli Huttunen");
+INSERT INTO  "shop" VALUES (2,"HJK","Helsinki","Finnair Stadium","10770","Antti Muurinen");
+INSERT INTO  "shop" VALUES (3,"FC Honka","Espoo","Tapiolan Urheilupuisto","6000","Mika Lehkosuo");
+INSERT INTO  "shop" VALUES (4,"FC Inter","Turku","Veritas Stadion","10000","Job Dragtsma");
+INSERT INTO  "shop" VALUES (5,"FF Jaro","Jakobstad","Jakobstads Centralplan","5000","Mika Laurikainen");
+INSERT INTO  "shop" VALUES (6,"FC KooTeePee","Kotka","Arto Tolsa Areena","4780","Tommi Kautonen");
+INSERT INTO  "shop" VALUES (7,"KuPS","Kuopio","Magnum Areena","3500","Kai Nyyssönen");
+INSERT INTO  "shop" VALUES (8,"FC Lahti","Lahti","Lahden Stadion","15000","Ilkka Mäkelä");
+INSERT INTO  "shop" VALUES (9,"IFK Mariehamn","Mariehamn","Wiklöf Holding Arena","1600","Pekka Lyyski");
+
+
+CREATE TABLE "hiring" (
+"Shop_ID" int,
+"Employee_ID" int,
+"Start_from" text,
+"Is_full_time" bool,
+PRIMARY KEY ("Employee_ID"),
+FOREIGN KEY (`Shop_ID`) REFERENCES `shop`(`Shop_ID`),
+FOREIGN KEY (`Employee_ID`) REFERENCES `employee`(`Employee_ID`)
+);
+
+INSERT INTO  "hiring" VALUES (1,1,"2009","T");
+INSERT INTO  "hiring" VALUES (1,2,"2003","T");
+INSERT INTO  "hiring" VALUES (8,3,"2011","F");
+INSERT INTO  "hiring" VALUES (4,4,"2012","T");
+INSERT INTO  "hiring" VALUES (5,5,"2013","T");
+INSERT INTO  "hiring" VALUES (2,6,"2010","F");
+INSERT INTO  "hiring" VALUES (6,7,"2008","T");
+
+
+
+
+CREATE TABLE "evaluation" (
+"Employee_ID" text,
+"Year_awarded" text,
+"Bonus" real,
+PRIMARY KEY ("Employee_ID","Year_awarded"),
+FOREIGN KEY (`Employee_ID`) REFERENCES `employee`(`Employee_ID`)
+);
+
+
+INSERT INTO  "evaluation" VALUES (1,"2011", 3000);
+INSERT INTO  "evaluation" VALUES (2,"2015", 3200);
+INSERT INTO  "evaluation" VALUES (1,"2016", 2900);
+INSERT INTO  "evaluation" VALUES (4,"2017", 3200);
+INSERT INTO  "evaluation" VALUES (7,"2018", 3200);
+INSERT INTO  "evaluation" VALUES (10,"2016", 4000);
+

validation_database/flight_2/annotation.json

@@ -0,0 +1,38 @@
+{
+    "label_id": null, 
+    "data": [
+        {
+            "nl": "Find all airlines that have at least one flight out of AXX airport. Report the full name and the abbreviation of each airline\n", 
+            "id": 0
+        }, 
+        {
+            "nl": "Find all destinations served from the AXX airport by Northwest. Re- port flight number, airport code and the full name of the airport.\n", 
+            "id": 1
+        }, 
+        {
+            "nl": "Find all airports served by ALL five of the airlines listed below: Delta, Frontier, USAir, UAL and Southwest. Report just the airport codes.\n", 
+            "id": 2
+        }, 
+        {
+            "nl": "Find all airports that are served by at least three Southwest flights. Report just the three-letter codes of the airports\n", 
+            "id": 3
+        }, 
+        {
+            "nl": "Find the number of airports from which airport ANP can be reached with exactly one transfer.\n", 
+            "id": 4
+        }, 
+        {
+            "nl": "Find the number of airports from which airport ATE can be reached with at most one transfer. (make sure to exclude ATE itself from the count). Report just the number.\n", 
+            "id": 5
+        }, 
+        {
+            "nl": "Find all airports with exactly 17 outgoing flights. Report airport code and the full name of the airport\n", 
+            "id": 6
+        }, 
+        {
+            "nl": "For each room report the total revenue for all stays and the average revenue per stay generated by stays in the room that originated in the months of September\n", 
+            "id": 7
+        }
+    ], 
+    "review_id": null
+}

validation_database/flight_2/data_csv/README.AIRLINES.txt

@@ -0,0 +1,96 @@
+*****************************************************
+CPE 365                                 Alex Dekhtyar
+Cal Poly		  Computer Science Department
+San Luis Obispo                College of Engineering 
+California                   [email protected]   
+*****************************************************
+		 AIRLINES DATASET
+                   Version 1.0
+                November 19, 2007
+*****************************************************
+Sources:  the list of US airports is from 
+          http://www.world-airport-codes.com/
+          
+          the list of airlines is from http://www.wikipedia.org
+          
+          the list of flights is synthesized.
+
+******************************************************
+
+This file describes the contents of the AIRLINES dataset
+developed for the CPE 365, Introduction to Databases,
+course at Cal Poly.
+
+The dataset contains information about some US airlines and
+airports, and routes flown by the airlines between these airports.
+
+General Conventions.
+
+ 1. All files in the dataset are CSV (comma-separated values) files.
+ 2. First line of each file provides the names of
+    columns. Second line may be empty, or may contain
+    the first row of the data.
+ 3. All string values are enclosed in single quotes (')
+ 4. All string values in the airports.csv and flights.csv files 
+    have a trailing space.This is important to note, because 
+    one of the string   columns, airport code is the unique identifier 
+    of the airport. This issue needs to be dealt with programmatically.
+
+
+  The dataset consists of the following files:
+
+
+     - airlines.csv      : list of airlines
+     - airports100.csv   : list of airports
+     - flights.csv       : list of flights
+
+
+ Individual files have the following formats.
+
+**************************************************************************
+
+airlines.csv
+    
+          Id   : unique identifier of the airline
+       Airline : full name of the airline
+  Abbreviation : abbreviated name of the airline
+       Country : country of the airline
+
+
+
+**************************************************************************
+
+airports100.csv
+ 
+        City  : location of the airport
+  AirportCode : unique three-letter airport code
+  AirportName : name of the airport
+      Country : country of the airport
+CountryAbbrev : abbreviation of the country
+
+
+
+**************************************************************************
+
+flights.csv
+
+      Airline : airline that manages the flight
+     FlightNo : flight number (unique for each airline, may repeat
+                for different airlines)
+SourceAirport : Code for the airport from which the flight originates
+                (see airports100.AirportCode)
+  DestAirport : Code for the airport at which the flight terminates
+
+**************************************************************************
+**************************************************************************
+
+Permission granted to use and distribute this dataset in its current form, 
+provided this file  is kept unchanged and is distributed together with the 
+data.
+
+Permission granted to modify and expand this dataset, provided this
+file is updated accordingly with new information.
+
+**************************************************************************
+**************************************************************************
+

validation_database/flight_2/data_csv/airlines.csv

@@ -0,0 +1,14 @@
+uid, Airline, Abbreviation, Country
+1,'United Airlines','UAL','USA'
+2,'US Airways','USAir','USA'
+3,'Delta Airlines','Delta','USA'
+4,'Southwest Airlines','Southwest','USA'
+5,'American Airlines','American','USA'
+6,'Northwest Airlines','Northwest','USA'
+7,'Continental Airlines','Continental','USA'
+8,'JetBlue Airways','JetBlue','USA'
+9,'Frontier Airlines','Frontier','USA'
+10,'AirTran Airways','AirTran','USA'
+11,'Allegiant Air','Allegiant','USA'
+12,'Virgin America','Virgin','USA'
+

validation_database/flight_2/data_csv/airports100.csv

@@ -0,0 +1,101 @@
+City  ,AirportCode  , AirportName  ,Country  , CountryAbbrev  
+'Aberdeen ','APG','Phillips AAF ','United States ','US '
+'Aberdeen ','ABR','Municipal ','United States ','US '
+'Abilene ','DYS','Dyess AFB ','United States ','US '
+'Abilene ','ABI','Municipal ','United States ','US '
+'Abingdon ','VJI','Virginia Highlands ','United States ','US '
+'Ada ','ADT','Ada ','United States ','US '
+'Adak Island ','ADK','Adak Island Ns ','United States ','US '
+'Adrian ','ADG','Lenawee County ','United States ','US '
+'Afton ','AFO','Municipal ','United States ','US '
+'Aiken ','AIK','Municipal ','United States ','US '
+'Ainsworth ','ANW','Ainsworth ','United States ','US '
+'Akhiok ','AKK','Akhiok SPB ','United States ','US '
+'Akiachak ','KKI','Spb ','United States ','US '
+'Akiak ','AKI','Akiak ','United States ','US '
+'Akron CO ' ,'AKO','Colorado Plains Regional Airport ','United States ','US '
+'Akron/Canton OH ' ,'CAK','Akron/canton Regional ','United States ','US '
+'Akron/Canton ','AKC','Fulton International ','United States ','US '
+'Akutan ','KQA','Akutan ','United States ','US '
+'Alakanuk ','AUK','Alakanuk ','United States ','US '
+'Alameda ','NGZ','NAS ','United States ','US '
+'Alamogordo ','HMN','Holloman AFB ','United States ','US '
+'Alamogordo ','ALM','Municipal ','United States ','US '
+'Alamosa ','ALS','Municipal ','United States ','US '
+'Albany ','NAB','Albany NAS ','United States ','US '
+'Albany ','ABY','Dougherty County ','United States ','US '
+'Albany ','ALB','Albany International ','United States ','US '
+'Albany ','CVO','Albany ','United States ','US '
+'Albert Lea ','AEL','Albert Lea ','United States ','US '
+'Albuquerque ','ABQ','Albuquerque International ','United States ','US '
+'Aleknagik ','WKK','Aleknagik ','United States ','US '
+'Aleneva ','AED','Aleneva ','United States ','US '
+ 'Alexander City AL ' ,'ALX','Thomas C Russell Fld ','United States ','US '
+ 'Alexandria LA ' ,'AEX','Alexandria International ','United States ','US '
+'Alexandria ','ESF','Esler Field ','United States ','US '
+'Alexandria ','AXN','Alexandria ','United States ','US '
+'Alexandria Bay ','AXB','Alexandria Bay ','United States ','US '
+'Algona ','AXG','Algona ','United States ','US '
+'Alice ','ALI','International ','United States ','US '
+ 'Aliceville AL ' ,'AIV','George Downer ','United States ','US '
+'Alitak ','ALZ','Alitak SPB ','United States ','US '
+'Allakaket ','AET','Allakaket ','United States ','US '
+'Alliance ','AIA','Alliance ','United States ','US '
+'Alma ','AMN','Gratiot Community ','United States ','US '
+'Alpena ','APN','Alpena County Regional ','United States ','US '
+'Alpine ','ALE','Alpine ','United States ','US '
+'Alton ','ALN','Alton ','United States ','US '
+'Altus ','LTS','Altus AFB ','United States ','US '
+'Altus ','AXS','Municipal ','United States ','US '
+'Alyeska ','AQY','Alyeska ','United States ','US '
+ 'Amarillo  ' ,'AMA','Rick Husband Amarillo International ','United States ','US '
+'Amarillo ','TDW','Tradewind ','United States ','US '
+'Ambler ','ABL','Ambler ','United States ','US '
+'Amchitka ','AHT','Amchitka ','United States ','US '
+'Amery ','AHH','Municipal ','United States ','US '
+'Ames ','AMW','Ames ','United States ','US '
+'Amityville ','AYZ','Zahns ','United States ','US '
+'Amook ','AOS','Amook ','United States ','US '
+'Anacortes ','OTS','Anacortes ','United States ','US '
+'Anacostia ','NDV','USN Heliport ','United States ','US '
+'Anaheim ','ANA','Orange County Steel Salvage Heliport ','United States ','US '
+'Anaktuvuk ','AKP','Anaktuvuk ','United States ','US '
+'Anchorage ','EDF','Elmendorf Afb ','United States ','US '
+'Anchorage ','ANC','Ted Stevens Anchorage International Airport ','United States ','US '
+'Anchorage ','MRI','Merrill Field ','United States ','US '
+'Anderson ','AID','Municipal ','United States ','US '
+'Anderson ','AND','Anderson ','United States ','US '
+'Andrews ','ADR','Andrews ','United States ','US '
+'Angel Fire ','AXX','Angel Fire ','United States ','US '
+'Angola ','ANQ','Tri-State Steuben Cty ','United States ','US '
+'Angoon ','AGN','Angoon ','United States ','US '
+'Anguilla ','RFK','Rollang Field ','United States ','US '
+'Aniak ','ANI','Aniak ','United States ','US '
+'Anita Bay ','AIB','Anita Bay ','United States ','US '
+ 'Ann Arbor MI ' ,'ARB','Municipal ','United States ','US '
+'Annapolis ','ANP','Lee ','United States ','US '
+'Annette Island ','ANN','Annette Island ','United States ','US '
+ 'Anniston AL ' ,'ANB','Anniston Metropolitan ','United States ','US '
+'Anniston ','QAW','Ft Mcclellan Bus Trml ','United States ','US '
+'Anniston ','RLI','Reilly AHP ','United States ','US '
+'Anthony ','ANY','Anthony ','United States ','US '
+'Antlers ','ATE','Antlers ','United States ','US '
+'Anvik ','ANV','Anvik ','United States ','US '
+'Apalachicola ','AAF','Municipal ','United States ','US '
+'Apple Valley ','APV','Apple Valley ','United States ','US '
+'Appleton ','ATW','Outagamie County ','United States ','US '
+'Arapahoe ','AHF','Municipal ','United States ','US '
+'Arcata ','ACV','Arcata ','United States ','US '
+'Arctic Village ','ARC','Arctic Village ','United States ','US '
+'Ardmore ','AHD','Downtown ','United States ','US '
+'Ardmore ','ADM','Ardmore Municipal Arpt ','United States ','US '
+'Arlington Heights ','JLH','US Army Heliport ','United States ','US '
+'Artesia ','ATS','Artesia ','United States ','US '
+ 'Neptune ' ,'ARX','Asbury Park ','United States ','US '
+'Ashland ','ASX','Ashland ','United States ','US '
+'Ashley ','ASY','Ashley ','United States ','US '
+'Aspen ','ASE','Aspen ','United States ','US '
+'Astoria ','AST','Astoria ','United States ','US '
+'Athens ','AHN','Athens ','United States ','US '
+'Athens ','ATO','Ohio University ','United States ','US '
+'Athens ','MMI','McMinn County ','United States ','US '

validation_database/flight_2/data_csv/flights.csv

@@ -0,0 +1,1201 @@
+Airline, FlightNo, SourceAirport, DestAirport
+1, 28, 'APG', 'ASY'
+1, 29, 'ASY', 'APG'
+1, 44, 'CVO', 'ACV'
+1, 45, 'ACV', 'CVO'
+1, 54, 'AHD', 'AHT'
+1, 55, 'AHT', 'AHD'
+1, 90, 'ATO', 'ABR'
+1, 91, 'ABR', 'ATO'
+1, 108, 'ANV', 'MMI'
+1, 109, 'MMI', 'ANV'
+1, 142, 'ALI', 'AKC'
+1, 143, 'AKC', 'ALI'
+1, 148, 'HMN', 'ABL'
+1, 149, 'ABL', 'HMN'
+1, 198, 'NGZ', 'AAF'
+1, 199, 'AAF', 'NGZ'
+1, 226, 'CVO', 'KKI'
+1, 227, 'KKI', 'CVO'
+1, 276, 'ARB', 'ANV'
+1, 277, 'ANV', 'ARB'
+1, 308, 'ATE', 'AKC'
+1, 309, 'AKC', 'ATE'
+1, 326, 'ALX', 'ALI'
+1, 327, 'ALI', 'ALX'
+1, 370, 'AKC', 'WKK'
+1, 371, 'WKK', 'AKC'
+1, 414, 'AAF', 'ALB'
+1, 415, 'ALB', 'AAF'
+1, 424, 'ADG', 'AOS'
+1, 425, 'AOS', 'ADG'
+1, 470, 'ABQ', 'MMI'
+1, 471, 'MMI', 'ABQ'
+1, 520, 'AIV', 'ALS'
+1, 521, 'ALS', 'AIV'
+1, 556, 'AYZ', 'AHD'
+1, 557, 'AHD', 'AYZ'
+1, 560, 'AHF', 'ATO'
+1, 561, 'ATO', 'AHF'
+1, 604, 'ADG', 'ANN'
+1, 605, 'ANN', 'ADG'
+1, 608, 'AST', 'DYS'
+1, 609, 'DYS', 'AST'
+1, 626, 'AKI', 'AEL'
+1, 627, 'AEL', 'AKI'
+1, 658, 'ARC', 'ALM'
+1, 659, 'ALM', 'ARC'
+1, 708, 'AXB', 'AFO'
+1, 709, 'AFO', 'AXB'
+1, 744, 'AED', 'OTS'
+1, 745, 'OTS', 'AED'
+1, 754, 'CVO', 'ANY'
+1, 755, 'ANY', 'CVO'
+1, 786, 'ACV', 'AHD'
+1, 787, 'AHD', 'ACV'
+1, 810, 'ARC', 'AQY'
+1, 811, 'AQY', 'ARC'
+1, 828, 'HMN', 'EDF'
+1, 829, 'EDF', 'HMN'
+1, 878, 'KKI', 'ALM'
+1, 879, 'ALM', 'KKI'
+1, 888, 'ALZ', 'ANW'
+1, 889, 'ANW', 'ALZ'
+1, 900, 'AHT', 'AXX'
+1, 901, 'AXX', 'AHT'
+1, 924, 'AXG', 'ASX'
+1, 925, 'ASX', 'AXG'
+1, 946, 'APV', 'ADR'
+1, 947, 'ADR', 'APV'
+1, 996, 'AXG', 'AXS'
+1, 997, 'AXS', 'AXG'
+1, 1000, 'ADK', 'KKI'
+1, 1001, 'KKI', 'ADK'
+1, 1026, 'AHN', 'DYS'
+1, 1027, 'DYS', 'AHN'
+1, 1062, 'AQY', 'AFO'
+1, 1063, 'AFO', 'AQY'
+1, 1068, 'APN', 'ALB'
+1, 1069, 'ALB', 'APN'
+1, 1100, 'ATE', 'ALE'
+1, 1101, 'ALE', 'ATE'
+1, 1144, 'AIA', 'AMW'
+1, 1145, 'AMW', 'AIA'
+1, 1166, 'ABQ', 'AAF'
+1, 1167, 'AAF', 'ABQ'
+1, 1168, 'ADK', 'NAB'
+1, 1169, 'NAB', 'ADK'
+1, 1192, 'QAW', 'AHH'
+1, 1193, 'AHH', 'QAW'
+1, 1208, 'NAB', 'MMI'
+1, 1209, 'MMI', 'NAB'
+1, 1216, 'ATE', 'ALX'
+1, 1217, 'ALX', 'ATE'
+1, 1250, 'ARC', 'AED'
+1, 1251, 'AED', 'ARC'
+1, 1274, 'ALS', 'APG'
+1, 1275, 'APG', 'ALS'
+1, 1284, 'ADK', 'ADG'
+1, 1285, 'ADG', 'ADK'
+1, 1328, 'RLI', 'LTS'
+1, 1329, 'LTS', 'RLI'
+2, 14, 'APV', 'ALX'
+2, 15, 'ALX', 'APV'
+2, 18, 'MRI', 'OTS'
+2, 19, 'OTS', 'MRI'
+2, 64, 'VJI', 'AOS'
+2, 65, 'AOS', 'VJI'
+2, 88, 'AGN', 'AXX'
+2, 89, 'AXX', 'AGN'
+2, 124, 'OTS', 'ALZ'
+2, 125, 'ALZ', 'OTS'
+2, 142, 'ABQ', 'ADM'
+2, 143, 'ADM', 'ABQ'
+2, 192, 'AKK', 'NDV'
+2, 193, 'NDV', 'AKK'
+2, 240, 'ATE', 'ATW'
+2, 241, 'ATW', 'ATE'
+2, 278, 'ACV', 'ALX'
+2, 279, 'ALX', 'ACV'
+2, 322, 'ALN', 'ARB'
+2, 323, 'ARB', 'ALN'
+2, 330, 'AYZ', 'AND'
+2, 331, 'AND', 'AYZ'
+2, 356, 'AKC', 'MRI'
+2, 357, 'MRI', 'AKC'
+2, 358, 'ASE', 'ASX'
+2, 359, 'ASX', 'ASE'
+2, 384, 'AOS', 'AGN'
+2, 385, 'AGN', 'AOS'
+2, 426, 'AFO', 'AMN'
+2, 427, 'AMN', 'AFO'
+2, 466, 'ARB', 'AGN'
+2, 467, 'AGN', 'ARB'
+2, 484, 'ARX', 'AQY'
+2, 485, 'AQY', 'ARX'
+2, 488, 'VJI', 'APG'
+2, 489, 'APG', 'VJI'
+2, 526, 'CAK', 'ANP'
+2, 527, 'ANP', 'CAK'
+2, 550, 'AIV', 'ADK'
+2, 551, 'ADK', 'AIV'
+2, 600, 'MRI', 'ARB'
+2, 601, 'ARB', 'MRI'
+2, 644, 'AHD', 'AMA'
+2, 645, 'AMA', 'AHD'
+2, 670, 'KKI', 'ATS'
+2, 671, 'ATS', 'KKI'
+2, 672, 'ANV', 'ABL'
+2, 673, 'ABL', 'ANV'
+2, 692, 'CAK', 'ATS'
+2, 693, 'ATS', 'CAK'
+2, 728, 'AKI', 'ESF'
+2, 729, 'ESF', 'AKI'
+2, 746, 'ANC', 'AST'
+2, 747, 'AST', 'ANC'
+2, 790, 'APN', 'CVO'
+2, 791, 'CVO', 'APN'
+2, 830, 'ANQ', 'AMA'
+2, 831, 'AMA', 'ANQ'
+2, 840, 'NGZ', 'ADT'
+2, 841, 'ADT', 'NGZ'
+2, 886, 'ANW', 'ABY'
+2, 887, 'ABY', 'ANW'
+2, 902, 'AKO', 'OTS'
+2, 903, 'OTS', 'AKO'
+2, 920, 'AET', 'ASX'
+2, 921, 'ASX', 'AET'
+2, 950, 'ALB', 'ADM'
+2, 951, 'ADM', 'ALB'
+2, 988, 'ALS', 'ADG'
+2, 989, 'ADG', 'ALS'
+2, 1020, 'ANP', 'ADG'
+2, 1021, 'ADG', 'ANP'
+2, 1064, 'NAB', 'ALB'
+2, 1065, 'ALB', 'NAB'
+2, 1068, 'AIK', 'ANN'
+2, 1069, 'ANN', 'AIK'
+2, 1076, 'AXG', 'ABQ'
+2, 1077, 'ABQ', 'AXG'
+2, 1120, 'ACV', 'AKK'
+2, 1121, 'AKK', 'ACV'
+2, 1158, 'ABI', 'QAW'
+2, 1159, 'QAW', 'ABI'
+2, 1188, 'AIV', 'ALE'
+2, 1189, 'ALE', 'AIV'
+2, 1230, 'ANY', 'ANI'
+2, 1231, 'ANI', 'ANY'
+2, 1242, 'AED', 'AMA'
+2, 1243, 'AMA', 'AED'
+2, 1266, 'AHT', 'ALE'
+2, 1267, 'ALE', 'AHT'
+2, 1286, 'HMN', 'ESF'
+2, 1287, 'ESF', 'HMN'
+2, 1330, 'AXX', 'ANP'
+2, 1331, 'ANP', 'AXX'
+2, 1360, 'AHH', 'AST'
+2, 1361, 'AST', 'AHH'
+2, 1374, 'ALI', 'AMW'
+2, 1375, 'AMW', 'ALI'
+2, 1376, 'ALI', 'APG'
+2, 1377, 'APG', 'ALI'
+3, 2, 'ATS', 'OTS'
+3, 3, 'OTS', 'ATS'
+3, 26, 'VJI', 'ATW'
+3, 27, 'ATW', 'VJI'
+3, 36, 'CAK', 'OTS'
+3, 37, 'OTS', 'CAK'
+3, 84, 'ABY', 'ALS'
+3, 85, 'ALS', 'ABY'
+3, 100, 'AXN', 'APG'
+3, 101, 'APG', 'AXN'
+3, 118, 'AXB', 'ANA'
+3, 119, 'ANA', 'AXB'
+3, 126, 'LTS', 'EDF'
+3, 127, 'EDF', 'LTS'
+3, 130, 'JLH', 'AND'
+3, 131, 'AND', 'JLH'
+3, 162, 'AIK', 'ADT'
+3, 163, 'ADT', 'AIK'
+3, 194, 'AST', 'ARX'
+3, 195, 'ARX', 'AST'
+3, 206, 'ANB', 'ALE'
+3, 207, 'ALE', 'ANB'
+3, 240, 'AKC', 'MMI'
+3, 241, 'MMI', 'AKC'
+3, 244, 'EDF', 'AHT'
+3, 245, 'AHT', 'EDF'
+3, 268, 'AMW', 'AHN'
+3, 269, 'AHN', 'AMW'
+3, 284, 'AXB', 'AXN'
+3, 285, 'AXN', 'AXB'
+3, 300, 'ASY', 'ALE'
+3, 301, 'ALE', 'ASY'
+3, 334, 'ALI', 'ATW'
+3, 335, 'ATW', 'ALI'
+3, 364, 'AYZ', 'AUK'
+3, 365, 'AUK', 'AYZ'
+3, 396, 'AED', 'ASX'
+3, 397, 'ASX', 'AED'
+3, 432, 'ABQ', 'ANN'
+3, 433, 'ANN', 'ABQ'
+3, 438, 'AFO', 'AUK'
+3, 439, 'AUK', 'AFO'
+3, 460, 'RLI', 'AHD'
+3, 461, 'AHD', 'RLI'
+3, 498, 'ATW', 'TDW'
+3, 499, 'TDW', 'ATW'
+3, 528, 'ARB', 'AKK'
+3, 529, 'AKK', 'ARB'
+3, 548, 'ARX', 'ASX'
+3, 549, 'ASX', 'ARX'
+3, 588, 'AKO', 'WKK'
+3, 589, 'WKK', 'AKO'
+3, 626, 'KQA', 'ANV'
+3, 627, 'ANV', 'KQA'
+3, 656, 'ANN', 'EDF'
+3, 657, 'EDF', 'ANN'
+3, 670, 'ALN', 'ARX'
+3, 671, 'ARX', 'ALN'
+3, 694, 'AUK', 'JLH'
+3, 695, 'JLH', 'AUK'
+3, 710, 'ANN', 'AHT'
+3, 711, 'AHT', 'ANN'
+3, 734, 'ASY', 'NDV'
+3, 735, 'NDV', 'ASY'
+3, 782, 'AXG', 'JLH'
+3, 783, 'JLH', 'AXG'
+3, 826, 'ABQ', 'AEL'
+3, 827, 'AEL', 'ABQ'
+3, 862, 'LTS', 'RLI'
+3, 863, 'RLI', 'LTS'
+3, 904, 'APV', 'ANV'
+3, 905, 'ANV', 'APV'
+3, 922, 'ASY', 'AAF'
+3, 923, 'AAF', 'ASY'
+3, 962, 'NGZ', 'ALI'
+3, 963, 'ALI', 'NGZ'
+3, 970, 'ANP', 'AIB'
+3, 971, 'AIB', 'ANP'
+3, 1000, 'ASX', 'ANY'
+3, 1001, 'ANY', 'ASX'
+3, 1010, 'CVO', 'AST'
+3, 1011, 'AST', 'CVO'
+3, 1040, 'AHF', 'OTS'
+3, 1041, 'OTS', 'AHF'
+3, 1070, 'ANP', 'ARC'
+3, 1071, 'ARC', 'ANP'
+3, 1094, 'AAF', 'ALS'
+3, 1095, 'ALS', 'AAF'
+3, 1140, 'ATW', 'ALB'
+3, 1141, 'ALB', 'ATW'
+3, 1186, 'ANB', 'AET'
+3, 1187, 'AET', 'ANB'
+3, 1190, 'AXX', 'ADG'
+3, 1191, 'ADG', 'AXX'
+3, 1226, 'AID', 'ABL'
+3, 1227, 'ABL', 'AID'
+3, 1270, 'CAK', 'AXS'
+3, 1271, 'AXS', 'CAK'
+3, 1274, 'ASY', 'AFO'
+3, 1275, 'AFO', 'ASY'
+4, 10, 'ASY', 'ATS'
+4, 11, 'ATS', 'ASY'
+4, 32, 'ALX', 'OTS'
+4, 33, 'OTS', 'ALX'
+4, 34, 'ADR', 'ATS'
+4, 35, 'ATS', 'ADR'
+4, 56, 'AET', 'AKI'
+4, 57, 'AKI', 'AET'
+4, 62, 'AEX', 'MRI'
+4, 63, 'MRI', 'AEX'
+4, 94, 'AHH', 'ANA'
+4, 95, 'ANA', 'AHH'
+4, 136, 'LTS', 'JLH'
+4, 137, 'JLH', 'LTS'
+4, 166, 'AAF', 'AKI'
+4, 167, 'AKI', 'AAF'
+4, 168, 'ALI', 'ANY'
+4, 169, 'ANY', 'ALI'
+4, 200, 'ADT', 'EDF'
+4, 201, 'EDF', 'ADT'
+4, 226, 'VJI', 'OTS'
+4, 227, 'OTS', 'VJI'
+4, 260, 'ADT', 'ANN'
+4, 261, 'ANN', 'ADT'
+4, 264, 'ARB', 'ATW'
+4, 265, 'ATW', 'ARB'
+4, 296, 'AIV', 'AFO'
+4, 297, 'AFO', 'AIV'
+4, 340, 'ADM', 'AST'
+4, 341, 'AST', 'ADM'
+4, 358, 'ADG', 'AMN'
+4, 359, 'AMN', 'ADG'
+4, 378, 'WKK', 'ANQ'
+4, 379, 'ANQ', 'WKK'
+4, 384, 'AYZ', 'CVO'
+4, 385, 'CVO', 'AYZ'
+4, 430, 'CVO', 'LTS'
+4, 431, 'LTS', 'CVO'
+4, 436, 'AMA', 'WKK'
+4, 437, 'WKK', 'AMA'
+4, 478, 'AAF', 'AXX'
+4, 479, 'AXX', 'AAF'
+4, 510, 'ANP', 'AIB'
+4, 511, 'AIB', 'ANP'
+4, 544, 'LTS', 'QAW'
+4, 545, 'QAW', 'LTS'
+4, 546, 'ANY', 'AKC'
+4, 547, 'AKC', 'ANY'
+4, 558, 'AGN', 'AHN'
+4, 559, 'AHN', 'AGN'
+4, 564, 'AYZ', 'AED'
+4, 565, 'AED', 'AYZ'
+4, 582, 'AXX', 'WKK'
+4, 583, 'WKK', 'AXX'
+4, 604, 'AFO', 'ANC'
+4, 605, 'ANC', 'AFO'
+4, 624, 'ANC', 'ANV'
+4, 625, 'ANV', 'ANC'
+4, 626, 'AIA', 'AXG'
+4, 627, 'AXG', 'AIA'
+4, 666, 'AAF', 'AMA'
+4, 667, 'AMA', 'AAF'
+4, 716, 'JLH', 'AYZ'
+4, 717, 'AYZ', 'JLH'
+4, 742, 'HMN', 'APG'
+4, 743, 'APG', 'HMN'
+4, 750, 'NAB', 'ESF'
+4, 751, 'ESF', 'NAB'
+4, 784, 'AQY', 'DYS'
+4, 785, 'DYS', 'AQY'
+4, 832, 'ANN', 'AOS'
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+10, 98, 'MRI', 'ANA'
+10, 99, 'ANA', 'MRI'
+10, 144, 'AXN', 'RFK'
+10, 145, 'RFK', 'AXN'
+10, 174, 'AED', 'AMA'
+10, 175, 'AMA', 'AED'
+10, 218, 'AKO', 'ANN'
+10, 219, 'ANN', 'AKO'
+10, 224, 'ANI', 'AIV'
+10, 225, 'AIV', 'ANI'
+10, 264, 'AIA', 'ABI'
+10, 265, 'ABI', 'AIA'
+10, 310, 'QAW', 'ANP'
+10, 311, 'ANP', 'QAW'
+10, 336, 'ARC', 'ADR'
+10, 337, 'ADR', 'ARC'
+10, 352, 'AYZ', 'QAW'
+10, 353, 'QAW', 'AYZ'
+10, 382, 'APG', 'ALE'
+10, 383, 'ALE', 'APG'
+10, 408, 'ANQ', 'AUK'
+10, 409, 'AUK', 'ANQ'
+10, 430, 'ADR', 'CAK'
+10, 431, 'CAK', 'ADR'
+10, 468, 'AAF', 'APV'
+10, 469, 'APV', 'AAF'
+10, 512, 'CVO', 'ESF'
+10, 513, 'ESF', 'CVO'
+10, 562, 'ANW', 'ATE'
+10, 563, 'ATE', 'ANW'
+10, 600, 'ABQ', 'AKI'
+10, 601, 'AKI', 'ABQ'
+10, 602, 'AKK', 'ADK'
+10, 603, 'ADK', 'AKK'
+10, 646, 'ARB', 'ASE'
+10, 647, 'ASE', 'ARB'
+10, 650, 'ANQ', 'AEX'
+10, 651, 'AEX', 'ANQ'
+10, 700, 'ANC', 'AKI'
+10, 701, 'AKI', 'ANC'
+10, 736, 'QAW', 'AMN'
+10, 737, 'AMN', 'QAW'
+10, 784, 'NGZ', 'NAB'
+10, 785, 'NAB', 'NGZ'
+10, 820, 'AHN', 'ACV'
+10, 821, 'ACV', 'AHN'
+10, 826, 'AHH', 'ARB'
+10, 827, 'ARB', 'AHH'
+10, 858, 'VJI', 'ALB'
+10, 859, 'ALB', 'VJI'
+10, 890, 'AYZ', 'AXG'
+10, 891, 'AXG', 'AYZ'
+10, 928, 'ANB', 'AHD'
+10, 929, 'AHD', 'ANB'
+10, 934, 'ABI', 'AKP'
+10, 935, 'AKP', 'ABI'
+10, 982, 'ANP', 'ATE'
+10, 983, 'ATE', 'ANP'
+10, 1000, 'AHN', 'ANN'
+10, 1001, 'ANN', 'AHN'
+10, 1040, 'AIB', 'MRI'
+10, 1041, 'MRI', 'AIB'
+10, 1070, 'ANN', 'ARC'
+10, 1071, 'ARC', 'ANN'
+10, 1116, 'ANI', 'AFO'
+10, 1117, 'AFO', 'ANI'
+10, 1128, 'ABI', 'AMN'
+10, 1129, 'AMN', 'ABI'
+10, 1136, 'ABL', 'ABI'
+10, 1137, 'ABI', 'ABL'
+10, 1144, 'AKK', 'CAK'
+10, 1145, 'CAK', 'AKK'
+10, 1172, 'APG', 'AKC'
+10, 1173, 'AKC', 'APG'
+10, 1182, 'ATW', 'ALZ'
+10, 1183, 'ALZ', 'ATW'
+10, 1210, 'ANY', 'ALB'
+10, 1211, 'ALB', 'ANY'
+10, 1256, 'AED', 'ADM'
+10, 1257, 'ADM', 'AED'
+10, 1298, 'ATS', 'ALS'
+10, 1299, 'ALS', 'ATS'
+10, 1314, 'AIV', 'AHF'
+10, 1315, 'AHF', 'AIV'
+10, 1330, 'ALM', 'NGZ'
+10, 1331, 'NGZ', 'ALM'
+10, 1356, 'AMA', 'ATW'
+10, 1357, 'ATW', 'AMA'
+10, 1390, 'ADG', 'ABL'
+10, 1391, 'ABL', 'ADG'
+10, 1426, 'JLH', 'ABL'
+10, 1427, 'ABL', 'JLH'
+10, 1476, 'AIV', 'ALE'
+10, 1477, 'ALE', 'AIV'
+11, 14, 'AGN', 'ANP'
+11, 15, 'ANP', 'AGN'
+11, 58, 'AKK', 'TDW'
+11, 59, 'TDW', 'AKK'
+11, 80, 'AET', 'AXB'
+11, 81, 'AXB', 'AET'
+11, 88, 'ANY', 'AQY'
+11, 89, 'AQY', 'ANY'
+11, 110, 'AXS', 'AMW'
+11, 111, 'AMW', 'AXS'
+11, 134, 'NDV', 'ADG'
+11, 135, 'ADG', 'NDV'
+11, 142, 'AXS', 'APG'
+11, 143, 'APG', 'AXS'
+11, 158, 'AHT', 'ANV'
+11, 159, 'ANV', 'AHT'
+11, 200, 'ANC', 'AIK'
+11, 201, 'AIK', 'ANC'
+11, 204, 'AIK', 'AXN'
+11, 205, 'AXN', 'AIK'
+11, 240, 'ARC', 'AXG'
+11, 241, 'AXG', 'ARC'
+11, 284, 'ABQ', 'WKK'
+11, 285, 'WKK', 'ABQ'
+11, 296, 'AGN', 'AIV'
+11, 297, 'AIV', 'AGN'
+11, 302, 'ANY', 'TDW'
+11, 303, 'TDW', 'ANY'
+11, 330, 'AXG', 'LTS'
+11, 331, 'LTS', 'AXG'
+11, 378, 'RFK', 'ASY'
+11, 379, 'ASY', 'RFK'
+11, 400, 'ANA', 'AEL'
+11, 401, 'AEL', 'ANA'
+11, 436, 'ABQ', 'AND'
+11, 437, 'AND', 'ABQ'
+11, 470, 'CAK', 'AHT'
+11, 471, 'AHT', 'CAK'
+11, 504, 'AAF', 'AKO'
+11, 505, 'AKO', 'AAF'
+11, 512, 'ASY', 'ABR'
+11, 513, 'ABR', 'ASY'
+11, 524, 'ADK', 'ALM'
+11, 525, 'ALM', 'ADK'
+11, 566, 'LTS', 'AET'
+11, 567, 'AET', 'LTS'
+11, 570, 'ANA', 'RLI'
+11, 571, 'RLI', 'ANA'
+11, 574, 'ADK', 'LTS'
+11, 575, 'LTS', 'ADK'
+11, 590, 'ANY', 'AAF'
+11, 591, 'AAF', 'ANY'
+11, 594, 'ANN', 'ANY'
+11, 595, 'ANY', 'ANN'
+11, 636, 'ALX', 'RLI'
+11, 637, 'RLI', 'ALX'
+11, 640, 'AND', 'AIA'
+11, 641, 'AIA', 'AND'
+11, 666, 'AYZ', 'ANC'
+11, 667, 'ANC', 'AYZ'
+11, 704, 'ADR', 'AKI'
+11, 705, 'AKI', 'ADR'
+11, 730, 'AUK', 'ALS'
+11, 731, 'ALS', 'AUK'
+11, 740, 'AXG', 'OTS'
+11, 741, 'OTS', 'AXG'
+11, 772, 'JLH', 'ADM'
+11, 773, 'ADM', 'JLH'
+11, 774, 'ALN', 'AKP'
+11, 775, 'AKP', 'ALN'
+11, 824, 'ABI', 'ANW'
+11, 825, 'ANW', 'ABI'
+11, 834, 'ATS', 'AXN'
+11, 835, 'AXN', 'ATS'
+11, 842, 'ABR', 'AXN'
+11, 843, 'AXN', 'ABR'
+11, 876, 'KQA', 'AXX'
+11, 877, 'AXX', 'KQA'
+11, 904, 'AKO', 'DYS'
+11, 905, 'DYS', 'AKO'
+11, 908, 'ANQ', 'ATO'
+11, 909, 'ATO', 'ANQ'
+11, 954, 'AHH', 'AQY'
+11, 955, 'AQY', 'AHH'
+11, 986, 'MMI', 'AIB'
+11, 987, 'AIB', 'MMI'
+11, 1012, 'ABI', 'ALZ'
+11, 1013, 'ALZ', 'ABI'
+11, 1022, 'CVO', 'NDV'
+11, 1023, 'NDV', 'CVO'
+11, 1060, 'WKK', 'NAB'
+11, 1061, 'NAB', 'WKK'
+11, 1078, 'ALZ', 'ADG'
+11, 1079, 'ADG', 'ALZ'
+11, 1112, 'ARB', 'CVO'
+11, 1113, 'CVO', 'ARB'
+11, 1136, 'AEX', 'AHF'
+11, 1137, 'AHF', 'AEX'
+11, 1178, 'KQA', 'AFO'
+11, 1179, 'AFO', 'KQA'
+12, 42, 'AID', 'ADK'
+12, 43, 'ADK', 'AID'
+12, 80, 'AKK', 'APV'
+12, 81, 'APV', 'AKK'
+12, 120, 'ASY', 'ADK'
+12, 121, 'ADK', 'ASY'
+12, 156, 'ABY', 'ESF'
+12, 157, 'ESF', 'ABY'
+12, 206, 'ARB', 'AIV'
+12, 207, 'AIV', 'ARB'
+12, 208, 'AHN', 'AHD'
+12, 209, 'AHD', 'AHN'
+12, 234, 'EDF', 'AKK'
+12, 235, 'AKK', 'EDF'
+12, 264, 'AMW', 'AKI'
+12, 265, 'AKI', 'AMW'
+12, 284, 'ADM', 'RLI'
+12, 285, 'RLI', 'ADM'
+12, 312, 'TDW', 'ANC'
+12, 313, 'ANC', 'TDW'
+12, 326, 'ATO', 'AOS'
+12, 327, 'AOS', 'ATO'
+12, 368, 'LTS', 'ANB'
+12, 369, 'ANB', 'LTS'
+12, 402, 'ATW', 'ANP'
+12, 403, 'ANP', 'ATW'
+12, 424, 'RLI', 'ABY'
+12, 425, 'ABY', 'RLI'
+12, 450, 'ALB', 'HMN'
+12, 451, 'HMN', 'ALB'
+12, 490, 'AIA', 'NAB'
+12, 491, 'NAB', 'AIA'
+12, 540, 'AHT', 'AMW'
+12, 541, 'AMW', 'AHT'
+12, 584, 'ALZ', 'ASE'
+12, 585, 'ASE', 'ALZ'
+12, 614, 'QAW', 'ADT'
+12, 615, 'ADT', 'QAW'
+12, 650, 'CAK', 'AXN'
+12, 651, 'AXN', 'CAK'
+12, 690, 'AEX', 'ANI'
+12, 691, 'ANI', 'AEX'
+12, 728, 'ADM', 'KKI'
+12, 729, 'KKI', 'ADM'
+12, 748, 'AAF', 'ALS'
+12, 749, 'ALS', 'AAF'
+12, 766, 'RLI', 'AND'
+12, 767, 'AND', 'RLI'
+12, 778, 'ABY', 'AQY'
+12, 779, 'AQY', 'ABY'
+12, 820, 'ALN', 'ANW'
+12, 821, 'ANW', 'ALN'
+12, 834, 'ABI', 'AIV'
+12, 835, 'AIV', 'ABI'
+12, 850, 'ARC', 'AET'
+12, 851, 'AET', 'ARC'
+12, 890, 'ATO', 'ALS'
+12, 891, 'ALS', 'ATO'
+12, 924, 'ANB', 'KKI'
+12, 925, 'KKI', 'ANB'
+12, 946, 'AXG', 'AKK'
+12, 947, 'AKK', 'AXG'
+12, 956, 'AKO', 'ABL'
+12, 957, 'ABL', 'AKO'
+12, 970, 'AST', 'ADM'
+12, 971, 'ADM', 'AST'
+12, 1004, 'CAK', 'LTS'
+12, 1005, 'LTS', 'CAK'
+12, 1022, 'AKI', 'AHN'
+12, 1023, 'AHN', 'AKI'
+12, 1056, 'ALN', 'ADR'
+12, 1057, 'ADR', 'ALN'
+12, 1106, 'RLI', 'AIB'
+12, 1107, 'AIB', 'RLI'
+12, 1120, 'JLH', 'AHF'
+12, 1121, 'AHF', 'JLH'
+12, 1126, 'RLI', 'ABY'
+12, 1127, 'ABY', 'RLI'
+12, 1172, 'AMA', 'ARX'
+12, 1173, 'ARX', 'AMA'
+12, 1204, 'ARB', 'ADM'
+12, 1205, 'ADM', 'ARB'
+12, 1230, 'ANC', 'CVO'
+12, 1231, 'CVO', 'ANC'
+12, 1244, 'ANP', 'ANY'
+12, 1245, 'ANY', 'ANP'
+12, 1252, 'WKK', 'ANN'
+12, 1253, 'ANN', 'WKK'
+12, 1254, 'AIB', 'ANV'
+12, 1255, 'ANV', 'AIB'
+12, 1280, 'AEX', 'ARX'
+12, 1281, 'ARX', 'AEX'
+12, 1300, 'AMA', 'AFO'
+12, 1301, 'AFO', 'AMA'
+12, 1334, 'ADT', 'AKK'
+12, 1335, 'AKK', 'ADT'
+12, 1364, 'AMW', 'ANN'
+12, 1365, 'ANN', 'AMW'
+12, 1376, 'ALE', 'LTS'
+12, 1377, 'LTS', 'ALE'

validation_database/flight_2/flight_2.json

@@ -0,0 +1,121 @@
+[
+    {
+        "col_data": [
+            {
+                "column_name": "uid",
+                "data_type": "INTEGER",
+                "default_column_name": "uid",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 1
+            },
+            {
+                "column_name": "Airline",
+                "data_type": "TEXT",
+                "default_column_name": "Airline",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Abbreviation",
+                "data_type": "TEXT",
+                "default_column_name": "Abbreviation",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Country",
+                "data_type": "TEXT",
+                "default_column_name": "Country",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            }
+        ],
+        "table": "airlines"
+    },
+    {
+        "col_data": [
+            {
+                "column_name": "City",
+                "data_type": "TEXT",
+                "default_column_name": "City",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "AirportCode",
+                "data_type": "TEXT",
+                "default_column_name": "AirportCode",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 1
+            },
+            {
+                "column_name": "AirportName",
+                "data_type": "TEXT",
+                "default_column_name": "AirportName",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "Country",
+                "data_type": "TEXT",
+                "default_column_name": "Country",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "CountryAbbrev",
+                "data_type": "TEXT",
+                "default_column_name": "CountryAbbrev",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            }
+        ],
+        "table": "airports100"
+    },
+    {
+        "col_data": [
+            {
+                "column_name": "Airline",
+                "data_type": "INTEGER",
+                "default_column_name": "Airline",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 1
+            },
+            {
+                "column_name": "FlightNo",
+                "data_type": "INTEGER",
+                "default_column_name": "FlightNo",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 2
+            },
+            {
+                "column_name": "SourceAirport",
+                "data_type": "TEXT",
+                "default_column_name": "SourceAirport",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            },
+            {
+                "column_name": "DestAirport",
+                "data_type": "TEXT",
+                "default_column_name": "DestAirport",
+                "default_value": null,
+                "not_null": 0,
+                "primary_key": 0
+            }
+        ],
+        "table": "flights"
+    }
+]

validation_database/flight_2/flight_2.sql

@@ -0,0 +1,22 @@
+CREATE TABLE 'airlines' (
+	uid INTEGER PRIMARY KEY, 
+	Airline TEXT, 
+	Abbreviation TEXT, 
+	Country TEXT
+);
+CREATE TABLE 'airports' (
+	City TEXT, 
+	AirportCode TEXT PRIMARY KEY, 
+	AirportName TEXT, 
+	Country TEXT, 
+	CountryAbbrev TEXT
+);
+CREATE TABLE 'flights' (
+	Airline INTEGER, 
+	FlightNo INTEGER, 
+	SourceAirport TEXT, 
+	DestAirport TEXT, 
+	PRIMARY KEY(Airline, FlightNo),
+	FOREIGN KEY (SourceAirport) REFERENCES airports(AirportCode),
+	FOREIGN KEY (DestAirport) REFERENCES airports(AirportCode)
+);

validation_database/flight_2/link.txt

@@ -0,0 +1 @@
+http://users.csc.calpoly.edu/~dekhtyar/365-Spring2017/index.html

validation_database/flight_2/q.txt

@@ -0,0 +1,15 @@
+Find all airlines that have at least one flight out of AXX airport. Report the full name and the abbreviation of each airline
+
+Find all destinations served from the AXX airport by Northwest. Re- port flight number, airport code and the full name of the airport.
+
+Find all airports served by ALL five of the airlines listed below: Delta, Frontier, USAir, UAL and Southwest. Report just the airport codes.
+
+Find all airports that are served by at least three Southwest flights. Report just the three-letter codes of the airports
+
+Find the number of airports from which airport ANP can be reached with exactly one transfer.
+
+Find the number of airports from which airport ATE can be reached with at most one transfer. (make sure to exclude ATE itself from the count). Report just the number.
+
+Find all airports with exactly 17 outgoing flights. Report airport code and the full name of the airport
+
+For each room report the total revenue for all stays and the average revenue per stay generated by stays in the room that originated in the months of September

validation_database/museum_visit/schema.sql

@@ -0,0 +1,56 @@
+
+PRAGMA foreign_keys = ON;
+
+CREATE TABLE "museum" (
+"Museum_ID" int,
+"Name" text,
+"Num_of_Staff" int,
+"Open_Year" text,
+PRIMARY KEY ("Museum_ID")
+);
+
+
+
+INSERT INTO  "museum" VALUES ("1","Plaza Museum","62","2000");
+INSERT INTO  "museum" VALUES ("2","Capital Plaza Museum","25","2012");
+INSERT INTO  "museum" VALUES ("3","Jefferson Development Museum","18","2010");
+INSERT INTO  "museum" VALUES ("4","Willow Grande Museum","17","2011");
+INSERT INTO  "museum" VALUES ("5","RiverPark Museum","16","2008");
+INSERT INTO  "museum" VALUES ("6","Place Tower Museum","16","2008");
+INSERT INTO  "museum" VALUES ("7","Central City District Residential Museum","15","2010");
+INSERT INTO  "museum" VALUES ("8","ZirMed Gateway Museum","12","2009");
+
+CREATE TABLE "visitor" (
+"ID" int,
+"Name" text,
+"Level_of_membership" int,
+"Age" int,
+PRIMARY KEY ("ID")
+);
+
+INSERT INTO  "visitor" VALUES (1,"Gonzalo Higuaín ",8,35);
+INSERT INTO  "visitor" VALUES (2,"Guti Midfielder",5,28);
+INSERT INTO  "visitor" VALUES (3,"Arjen Robben",1,27);
+INSERT INTO  "visitor" VALUES (4,"Raúl Brown",2,56);
+INSERT INTO  "visitor" VALUES (5,"Fernando Gago",6,36);
+INSERT INTO  "visitor" VALUES (6,"Rafael van der Vaart",1,25);
+
+CREATE TABLE "visit" (
+"Museum_ID" int,
+"visitor_ID" text,
+"Num_of_Ticket" int,
+"Total_spent" real,
+PRIMARY KEY ("Museum_ID","visitor_ID"),
+FOREIGN KEY ("Museum_ID") REFERENCES `museum`("Museum_ID"),
+FOREIGN KEY ("visitor_ID") REFERENCES `visitor`("ID")
+);
+
+INSERT INTO  "visit" VALUES (1,5,20,320.14);
+INSERT INTO  "visit" VALUES (2,5,4,89.98);
+INSERT INTO  "visit" VALUES (4,3,10,320.44);
+INSERT INTO  "visit" VALUES (2,3,24,209.98);
+INSERT INTO  "visit" VALUES (4,6,3,20.44);
+INSERT INTO  "visit" VALUES (8,6,2,19.98);
+
+
+

validation_database/network_1/schema.sql

@@ -0,0 +1,76 @@
+-- dbext:type=SQLITE:dbname=social.db
+
+/* Delete the tables if they already exist */
+drop table if exists Highschooler;
+drop table if exists Friend;
+drop table if exists Likes;
+
+/* Create the schema for our tables */
+create table Highschooler(
+	ID int primary key, 
+	name text, 
+	grade int);
+create table Friend(
+	student_id int, 
+	friend_id int,
+	primary key (student_id,friend_id),
+	foreign key(student_id) references Highschooler(ID),
+	foreign key (friend_id) references Highschooler(ID)
+);
+create table Likes(
+	student_id int, 
+	liked_id int,
+	primary key (student_id, liked_id),
+        foreign key (liked_id) references Highschooler(ID),
+        foreign key (student_id) references Highschooler(ID)
+);
+
+/* Populate the tables with our data */
+insert into Highschooler values (1510, 'Jordan', 9);
+insert into Highschooler values (1689, 'Gabriel', 9);
+insert into Highschooler values (1381, 'Tiffany', 9);
+insert into Highschooler values (1709, 'Cassandra', 9);
+insert into Highschooler values (1101, 'Haley', 10);
+insert into Highschooler values (1782, 'Andrew', 10);
+insert into Highschooler values (1468, 'Kris', 10);
+insert into Highschooler values (1641, 'Brittany', 10);
+insert into Highschooler values (1247, 'Alexis', 11);
+insert into Highschooler values (1316, 'Austin', 11);
+insert into Highschooler values (1911, 'Gabriel', 11);
+insert into Highschooler values (1501, 'Jessica', 11);
+insert into Highschooler values (1304, 'Jordan', 12);
+insert into Highschooler values (1025, 'John', 12);
+insert into Highschooler values (1934, 'Kyle', 12);
+insert into Highschooler values (1661, 'Logan', 12);
+
+insert into Friend values (1510, 1381);
+insert into Friend values (1510, 1689);
+insert into Friend values (1689, 1709);
+insert into Friend values (1381, 1247);
+insert into Friend values (1709, 1247);
+insert into Friend values (1689, 1782);
+insert into Friend values (1782, 1468);
+insert into Friend values (1782, 1316);
+insert into Friend values (1782, 1304);
+insert into Friend values (1468, 1101);
+insert into Friend values (1468, 1641);
+insert into Friend values (1101, 1641);
+insert into Friend values (1247, 1911);
+insert into Friend values (1247, 1501);
+insert into Friend values (1911, 1501);
+insert into Friend values (1501, 1934);
+insert into Friend values (1316, 1934);
+insert into Friend values (1934, 1304);
+insert into Friend values (1304, 1661);
+insert into Friend values (1661, 1025);
+
+insert into Likes values(1689, 1709);
+insert into Likes values(1709, 1689);
+insert into Likes values(1782, 1709);
+insert into Likes values(1911, 1247);
+insert into Likes values(1247, 1468);
+insert into Likes values(1641, 1468);
+insert into Likes values(1316, 1304);
+insert into Likes values(1501, 1934);
+insert into Likes values(1934, 1501);
+insert into Likes values(1025, 1101);

validation_database/orchestra/schema.sql

@@ -0,0 +1,95 @@
+
+PRAGMA foreign_keys = ON;
+
+
+
+CREATE TABLE "conductor" (
+"Conductor_ID" int,
+"Name" text,
+"Age" int,
+"Nationality" text,
+"Year_of_Work" int,
+PRIMARY KEY ("Conductor_ID")
+);
+
+INSERT INTO  "conductor" VALUES (1,"Antal Doráti",40,"USA",10);
+INSERT INTO  "conductor" VALUES (2,"Igor Stravinsky",41,"UK",11);
+INSERT INTO  "conductor" VALUES (3,"Colin Davis",42,"USA",6);
+INSERT INTO  "conductor" VALUES (4,"Paul Jorgensen",43,"UK",11);
+INSERT INTO  "conductor" VALUES (5,"Antal Brown",43,"USA",20);
+INSERT INTO  "conductor" VALUES (6,"Charles Dutoit",43,"France",12);
+
+INSERT INTO  "conductor" VALUES (7,"Gerard Schwarz",50,"USA",20);
+INSERT INTO  "conductor" VALUES (8,"Pierre Boulez",49,"UK",11);
+INSERT INTO  "conductor" VALUES (9,"Valeri Gergiev",47,"USA",16);
+INSERT INTO  "conductor" VALUES (10,"Robert Craft",63,"UK",21);
+INSERT INTO  "conductor" VALUES (11,"Seiji Ozawa",43,"USA",10);
+INSERT INTO  "conductor" VALUES (12,"Michael Tilson Thomas",42,"France",12);
+
+
+
+
+CREATE TABLE "orchestra" (
+"Orchestra_ID" int,
+"Orchestra" text,
+"Conductor_ID" int,
+"Record_Company" text,
+"Year_of_Founded" real,
+"Major_Record_Format" text,
+PRIMARY KEY ("Orchestra_ID"),
+FOREIGN KEY (`Conductor_ID`) REFERENCES `conductor`(`Conductor_ID`)
+);
+
+CREATE TABLE "performance" (
+"Performance_ID" int,
+"Orchestra_ID" int,
+"Type" text,
+"Date" text,
+"Official_ratings_(millions)" real,
+"Weekly_rank" text,
+"Share" text,
+PRIMARY KEY ("Performance_ID"),
+FOREIGN KEY (`Orchestra_ID`) REFERENCES `orchestra`(`Orchestra_ID`)
+);
+
+CREATE TABLE "show" (
+"Show_ID" int,
+"Performance_ID" int,
+"If_first_show" bool,
+"Result" text,
+"Attendance" real,
+FOREIGN KEY (`Performance_ID`) REFERENCES `performance`(`Performance_ID`)
+);
+
+
+
+INSERT INTO  "orchestra" VALUES (1,"London Symphony Orchestra",1,"Mercury Records","2003","CD");
+INSERT INTO  "orchestra" VALUES (2,"Columbia Symphony Orchestra",2,"Columbia Masterworks","2009","CD / LP");
+INSERT INTO  "orchestra" VALUES (3,"Royal Concertgebouw Orchestra",3,"Philips","2008","CD");
+INSERT INTO  "orchestra" VALUES (4,"Royal Danish Orchestra",4,"Kultur","2002","DVD");
+INSERT INTO  "orchestra" VALUES (5,"Detroit Symphony Orchestra",5,"Decca Records","2002","CD");
+INSERT INTO  "orchestra" VALUES (6,"Montreal Symphony Orchestra",6,"Decca Records","2004","CD");
+INSERT INTO  "orchestra" VALUES (7,"Seattle Symphony Orchestra",7,"Delos Records","2002","CD");
+INSERT INTO  "orchestra" VALUES (8,"Chicago Symphony Orchestra",8,"Deutsche Grammophon","2003","CD");
+INSERT INTO  "orchestra" VALUES (9,"Kirov Orchestra",9,"Philips Classics Records","2008","CD");
+INSERT INTO  "orchestra" VALUES (10,"Philharmonia Orchestra",10,"Koch Records / Naxos Records","2006","CD");
+INSERT INTO  "orchestra" VALUES (11,"Orchestre de Paris",11,"EMI","2007","CD");
+INSERT INTO  "orchestra" VALUES (12,"San Francisco Symphony Orchestra",12,"RCA","2008","CD");
+
+INSERT INTO  "performance" VALUES (1,1,"Auditions 1","9 June","5.20","12","22.7%");
+INSERT INTO  "performance" VALUES (2,2,"Auditions 2","10 June","6.73","8","28.0%");
+INSERT INTO  "performance" VALUES (3,3,"Auditions 3","11 June","7.28","15","29.4%");
+INSERT INTO  "performance" VALUES (4,4,"Auditions 4","12 June","7.39","13","29.3%");
+INSERT INTO  "performance" VALUES (5,5,"Auditions 5","13 June","7.51","11","29.2%");
+INSERT INTO  "performance" VALUES (11,11,"Semi-final 1","14 June","8.36","9","34.0%");
+INSERT INTO  "performance" VALUES (6,6,"Semi-final 2","15 June","9.28","8","38.1%");
+INSERT INTO  "performance" VALUES (7,7,"Semi-final 3","16 June","9.29","7","40.9%");
+INSERT INTO  "performance" VALUES (8,8,"Live final","17 June","11.58","1","43.7%");
+INSERT INTO  "performance" VALUES (9,9,"Live final results","17 June","11.45","2","44.7%");
+INSERT INTO  "performance" VALUES (10,10,"Series average","2007","8.38","TBC","34%");
+
+INSERT INTO  "show" VALUES (1,1,"Glebe Park","T","1026");
+INSERT INTO  "show" VALUES (2,2,"Fir Park","T","695");
+INSERT INTO  "show" VALUES (3,3,"St. Mirren Park","F","555");
+INSERT INTO  "show" VALUES (4,4,"St. Mirren Park","F","1925");
+INSERT INTO  "show" VALUES (5,5,"Hampden Park","T","2431");

validation_database/pets_1/schema.sql

@@ -0,0 +1,68 @@
+create table Student (
+       StuID    	INTEGER PRIMARY KEY,
+       LName		VARCHAR(12),
+       Fname		VARCHAR(12),
+       Age		INTEGER,
+       Sex		VARCHAR(1),
+       Major		INTEGER,
+       Advisor		INTEGER,
+       city_code	VARCHAR(3)
+);
+
+create table Has_Pet (
+       StuID		INTEGER,
+       PetID		INTEGER,
+       FOREIGN KEY(PetID) REFERENCES Pets(PetID),
+       FOREIGN KEY(StuID) REFERENCES Student(StuID)
+);
+
+create table Pets (
+       PetID		INTEGER PRIMARY KEY,
+       PetType		VARCHAR(20),
+       pet_age INTEGER,
+       weight REAL
+);
+
+insert into Student values ( 1001, 'Smith', 'Linda', 18, 'F', 600, 1121,'BAL');
+insert into Student values ( 1002, 'Kim', 'Tracy', 19, 'F', 600, 7712,'HKG');
+insert into Student values ( 1003, 'Jones', 'Shiela', 21, 'F', 600, 7792,'WAS');
+insert into Student values ( 1004, 'Kumar', 'Dinesh', 20, 'M', 600, 8423,'CHI');
+insert into Student values ( 1005, 'Gompers', 'Paul', 26, 'M', 600, 1121,'YYZ');
+insert into Student values ( 1006, 'Schultz', 'Andy', 18, 'M', 600, 1148,'BAL');
+insert into Student values ( 1007, 'Apap', 'Lisa', 18, 'F', 600, 8918,'PIT');
+insert into Student values ( 1008, 'Nelson', 'Jandy', 20, 'F', 600, 9172,'BAL');
+insert into Student values ( 1009, 'Tai', 'Eric', 19, 'M', 600, 2192,'YYZ');
+insert into Student values ( 1010, 'Lee', 'Derek', 17, 'M', 600, 2192,'HOU');
+insert into Student values ( 1011, 'Adams', 'David', 22, 'M', 600, 1148,'PHL');
+insert into Student values ( 1012, 'Davis', 'Steven', 20, 'M', 600, 7723,'PIT');
+insert into Student values ( 1014, 'Norris', 'Charles', 18, 'M', 600, 8741, 'DAL');
+insert into Student values ( 1015, 'Lee', 'Susan', 16, 'F', 600, 8721,'HKG');
+insert into Student values ( 1016, 'Schwartz', 'Mark', 17, 'M', 600, 2192,'DET');
+insert into Student values ( 1017, 'Wilson', 'Bruce', 27, 'M', 600, 1148,'LON');
+insert into Student values ( 1018, 'Leighton', 'Michael', 20, 'M', 600, 1121, 'PIT');
+insert into Student values ( 1019, 'Pang', 'Arthur', 18, 'M', 600, 2192,'WAS');
+insert into Student values ( 1020, 'Thornton', 'Ian', 22, 'M', 520, 7271,'NYC');
+insert into Student values ( 1021, 'Andreou', 'George', 19, 'M', 520, 8722, 'NYC');
+insert into Student values ( 1022, 'Woods', 'Michael', 17, 'M', 540, 8722,'PHL');
+insert into Student values ( 1023, 'Shieber', 'David', 20, 'M', 520, 8722,'NYC');
+insert into Student values ( 1024, 'Prater', 'Stacy', 18, 'F', 540, 7271,'BAL');
+insert into Student values ( 1025, 'Goldman', 'Mark', 18, 'M', 520, 7134,'PIT');
+insert into Student values ( 1026, 'Pang', 'Eric', 19, 'M', 520, 7134,'HKG');
+insert into Student values ( 1027, 'Brody', 'Paul', 18, 'M', 520, 8723,'LOS');
+insert into Student values ( 1028, 'Rugh', 'Eric', 20, 'M', 550, 2311,'ROC');
+insert into Student values ( 1029, 'Han', 'Jun', 17, 'M', 100, 2311,'PEK');
+insert into Student values ( 1030, 'Cheng', 'Lisa', 21, 'F', 550, 2311,'SFO');
+insert into Student values ( 1031, 'Smith', 'Sarah', 20, 'F', 550, 8772,'PHL');
+insert into Student values ( 1032, 'Brown', 'Eric', 20, 'M', 550, 8772,'ATL');
+insert into Student values ( 1033, 'Simms', 'William', 18, 'M', 550, 8772,'NAR');
+insert into Student values ( 1034, 'Epp', 'Eric', 18, 'M', 050, 5718,'BOS');
+insert into Student values ( 1035, 'Schmidt', 'Sarah', 26, 'F', 050, 5718,'WAS');
+
+insert into Has_Pet values ( 1001, 2001 );
+insert into Has_Pet values ( 1002, 2002 );
+insert into Has_Pet values ( 1002, 2003 );
+
+insert into Pets values ( 2001, 'cat', 3, 12);
+insert into Pets values ( 2002, 'dog', 2, 13.4);
+insert into Pets values ( 2003, 'dog', 1, 9.3);
+

validation_database/poker_player/schema.sql

@@ -0,0 +1,35 @@
+PRAGMA foreign_keys = ON;
+
+CREATE TABLE "poker_player" (
+"Poker_Player_ID" int,
+"People_ID" int,
+"Final_Table_Made" real,
+"Best_Finish" real,
+"Money_Rank" real,
+"Earnings" real,
+PRIMARY KEY ("Poker_Player_ID"),
+FOREIGN KEY ("People_ID") REFERENCES `people`("People_ID")
+);
+
+CREATE TABLE "people" (
+"People_ID" int,
+"Nationality" text,
+"Name" text,
+"Birth_Date" text,
+"Height" real,
+PRIMARY KEY ("People_ID")
+);
+
+INSERT INTO  "people" VALUES ("1","Russia","Aleksey Ostapenko","May 26, 1986","207");
+INSERT INTO  "people" VALUES ("2","Bulgaria","Teodor Salparov","August 16, 1982","182");
+INSERT INTO  "people" VALUES ("3","Russia","Roman Bragin","April 17, 1987","187");
+INSERT INTO  "people" VALUES ("4","Russia","Sergey Grankin","January 22, 1987","193");
+INSERT INTO  "people" VALUES ("5","Russia","Yevgeni Sivozhelez","August 8, 1986","196");
+INSERT INTO  "people" VALUES ("6","Russia","Maksim Botin","July 14, 1983","194");
+INSERT INTO  "people" VALUES ("7","Russia","Semen Poltavskiy","February 8, 1981","205");
+
+INSERT INTO  "poker_player" VALUES (1,1,"42","1","68","476090");
+INSERT INTO  "poker_player" VALUES (2,2,"10","2","141","189233");
+INSERT INTO  "poker_player" VALUES (3,5,"21","1","166","104871");
+INSERT INTO  "poker_player" VALUES (4,6,"19","2","58","596462");
+INSERT INTO  "poker_player" VALUES (5,7,"26","3","154","142800");

validation_database/real_estate_properties/schema.sql

@@ -0,0 +1,116 @@
+PRAGMA foreign_keys = ON;
+
+CREATE TABLE `Ref_Feature_Types` (
+`feature_type_code` VARCHAR(20) PRIMARY KEY,
+`feature_type_name` VARCHAR(80)
+);
+CREATE TABLE `Ref_Property_Types` (
+`property_type_code` VARCHAR(20) PRIMARY KEY,
+`property_type_description` VARCHAR(80)
+);
+
+CREATE TABLE `Other_Available_Features` (
+`feature_id` INTEGER PRIMARY KEY,
+`feature_type_code` VARCHAR(20) NOT NULL,
+`feature_name` VARCHAR(80),
+`feature_description` VARCHAR(80),
+FOREIGN KEY (`feature_type_code` ) REFERENCES `Ref_Feature_Types`(`feature_type_code` )
+);
+
+CREATE TABLE `Properties` (
+`property_id` INTEGER PRIMARY KEY,
+`property_type_code` VARCHAR(20) NOT NULL,
+`date_on_market` DATETIME,
+`date_sold` DATETIME,
+`property_name` VARCHAR(80),
+`property_address` VARCHAR(255),
+`room_count` INTEGER,
+`vendor_requested_price` DECIMAL(19,4),
+`buyer_offered_price` DECIMAL(19,4),
+`agreed_selling_price` DECIMAL(19,4),
+`apt_feature_1` VARCHAR(255),
+`apt_feature_2` VARCHAR(255),
+`apt_feature_3` VARCHAR(255),
+`fld_feature_1` VARCHAR(255),
+`fld_feature_2` VARCHAR(255),
+`fld_feature_3` VARCHAR(255),
+`hse_feature_1` VARCHAR(255),
+`hse_feature_2` VARCHAR(255),
+`hse_feature_3` VARCHAR(255),
+`oth_feature_1` VARCHAR(255),
+`oth_feature_2` VARCHAR(255),
+`oth_feature_3` VARCHAR(255),
+`shp_feature_1` VARCHAR(255),
+`shp_feature_2` VARCHAR(255),
+`shp_feature_3` VARCHAR(255),
+`other_property_details` VARCHAR(255),
+FOREIGN KEY (`property_type_code` ) REFERENCES `Ref_Property_Types`(`property_type_code` )
+);
+
+CREATE TABLE `Other_Property_Features` (
+`property_id` INTEGER NOT NULL,
+`feature_id` INTEGER NOT NULL,
+`property_feature_description` VARCHAR(80),
+FOREIGN KEY (`feature_id` ) REFERENCES `Other_Available_Features`(`feature_id` ),
+FOREIGN KEY (`property_id` ) REFERENCES `Properties`(`property_id` )
+);
+
+
+INSERT INTO Ref_Feature_Types (`feature_type_code`, `feature_type_name`) VALUES ('Amenity', 'Amenity, eg Pool.');
+INSERT INTO Ref_Feature_Types (`feature_type_code`, `feature_type_name`) VALUES ('Security', 'Securiyt, eg Burglar Alarm.');
+INSERT INTO Ref_Property_Types (`property_type_code`, `property_type_description`) VALUES ('House', 'House, Bungalow, etc.');
+INSERT INTO Ref_Property_Types (`property_type_code`, `property_type_description`) VALUES ('Apartment', 'Apartment, Flat, Condo, etc.');
+INSERT INTO Ref_Property_Types (`property_type_code`, `property_type_description`) VALUES ('Field', 'Field, Meadow.');
+INSERT INTO Ref_Property_Types (`property_type_code`, `property_type_description`) VALUES ('Other', 'Other, to be determined.');
+INSERT INTO Ref_Property_Types (`property_type_code`, `property_type_description`) VALUES ('Shop', 'Shop, Retail Outlet.');
+
+INSERT INTO Other_Available_Features (`feature_id`, `feature_type_code`, `feature_name`, `feature_description`) VALUES (2, 'Amenity', 'AirCon', 'Air Conditioning.');
+INSERT INTO Other_Available_Features (`feature_id`, `feature_type_code`, `feature_name`, `feature_description`) VALUES (3, 'Amenity', 'Pool', 'Swimming Pool.');
+INSERT INTO Other_Available_Features (`feature_id`, `feature_type_code`, `feature_name`, `feature_description`) VALUES (4, 'Security', 'BurglarAlarm', 'Burglar Alarm');
+
+
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (1, 'House', '1991-06-21 23:52:10', '1979-05-13 16:58:06', 'park', '4745 Emerson Stravenue Suite 829
+South Garret, IN 16772-5682', '7', '372652.2909', '1.6800', '4201.8000', 'aut', 'suscipit', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (2, 'House', '1990-05-25 23:01:51', '1990-11-14 19:16:38', 'the cole', '098 Tremaine Highway Suite 569
+South Wilford, NJ 46587-3537', '1', '661536468.4429', '8.7122', '21769471.8328', 'est', 'est', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (3, 'Other', '1986-11-26 04:12:18', '1981-06-26 21:28:28', 'prism', '062 Micaela Court Apt. 707
+Margretville, WV 51628-3617', '8', '1337.0000', '11375259.5020', '5.0000', 'ut', 'et', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (4, 'Field', '2017-09-14 15:49:23', '2003-02-27 18:17:11', 'riverside', '49578 Ayden Mountains
+New Russellhaven, UT 46626', '6', '192374065.8000', '15.1700', '4514.8070', 'nesciunt', 'adipisci', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (5, 'Apartment', '2016-05-06 16:53:39', '2012-08-19 07:36:57', 'parc east', '2765 Schulist Stream
+Lindmouth, UT 03391-3817', '5', '983.8596', '10.1067', '1.0012', 'quo', 'sequi', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (6, 'Shop', '1994-02-14 02:27:13', '1995-01-31 11:18:42', 'high line', '6837 Darien Views Apt. 475
+South Maraview, KS 77770', '9', '2573.0000', '0.0000', '476919.3000', 'sed', 'culpa', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (7, 'Shop', '1996-09-16 22:04:27', '1998-09-15 05:26:22', 'avalon', '092 Paucek Highway Apt. 772
+East Erika, IA 61358', '8', '150045.7568', '296733.0000', '2794972.2495', 'quos', 'est', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (8, 'Apartment', '1976-06-10 20:25:38', '2001-11-09 04:37:33', 'vogue', '24365 Ulices Run
+Homenicktown, MD 88485-6198', '9', '13.4715', '0.0000', '0.0000', 'fuga', 'odio', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (9, 'Apartment', '1978-05-15 10:53:37', '1971-04-14 03:23:49', 'longacre', '107 Roob Courts
+Erdmanburgh, IA 42926-0873', '5', '2219.6778', '3520911.5258', '3344706.5755', 'enim', 'sit', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (10, 'Apartment', '2003-12-25 16:13:19', '1997-01-07 19:52:45', 'renoir', '084 Lakin Vista Apt. 394
+Fishertown, MA 16876', '9', '77172926.3000', '1.5509', '244353758.1824', 'consequatur', 'vero', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (11, 'Other', '1981-08-23 05:40:38', '1997-11-07 20:22:05', 'murray hill', '2088 Bashirian Fork Suite 337
+Faustinoport, MT 16771-9320', '2', '6713620.9000', '13991131.4340', '170766.4720', 'et', 'est', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (12, 'Apartment', '2016-05-24 09:57:45', '1980-07-08 16:13:17', 'ten tower', '743 Ephraim Greens
+Anniemouth, HI 47084-3853', '5', '305.0000', '2.0000', '456840888.1600', 'qui', 'autem', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (13, 'Other', '2000-08-07 06:59:14', '1973-02-24 02:56:06', 'chelsea', '60845 Else Highway Apt. 826
+South Dougfort, CO 43200-4258', '2', '2198735.0950', '0.0000', '44132.4621', 'fuga', 'aut', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (14, 'Other', '1986-12-31 10:05:32', '1987-12-07 07:41:27', 'wall street', '1474 Dibbert Fields Suite 055
+South Renee, IN 58286-3097', '7', '78.7208', '2449185.2000', '0.0000', 'et', 'eos', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Properties (`property_id`, `property_type_code`, `date_on_market`, `date_sold`, `property_name`, `property_address`, `room_count`, `vendor_requested_price`, `buyer_offered_price`, `agreed_selling_price`, `apt_feature_1`, `apt_feature_2`, `apt_feature_3`, `fld_feature_1`, `fld_feature_2`, `fld_feature_3`, `hse_feature_1`, `hse_feature_2`, `hse_feature_3`, `oth_feature_1`, `oth_feature_2`, `oth_feature_3`, `shp_feature_1`, `shp_feature_2`, `shp_feature_3`, `other_property_details`) VALUES (15, 'Apartment', '1993-08-04 10:49:04', '1984-02-01 19:54:54', 'parc coliseum', '986 Hagenes Drives
+Draketon, UT 83411-3393', '3', '331.0000', '27537286.0000', '2574.0000', 'aut', 'iusto', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL);
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (15, 3, 'dolorem');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (12, 4, 'earum');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (6, 2, 'illo');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (7, 2, 'hic');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (6, 3, 'et');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (14, 4, 'quo');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (4, 3, 'odio');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (1, 2, 'ad');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (11, 4, 'vitae');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (9, 3, 'quo');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (6, 3, 'corrupti');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (6, 3, 'doloribus');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (13, 2, 'autem');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (3, 2, 'cumque');
+INSERT INTO Other_Property_Features (`property_id`, `feature_id`, `property_feature_description`) VALUES (14, 4, 'modi');