From 3d062000d72ccd4dbbc31e304f54e276473eff8d Mon Sep 17 00:00:00 2001
From: ik1g19 <ik1g19@soton.ac.uk>
Date: Tue, 26 May 2020 19:20:25 +0100
Subject: [PATCH] compressed for submission

---
 Submission/cw2.tar        |   Bin 0 -> 5328896 bytes
 Submission/cw2.tar.gz     |   Bin 0 -> 475625 bytes
 Submission/dataset.sql    | 13434 ++++++++++++++++++
 Submission/dataset2.sql   | 13455 ++++++++++++++++++
 Submission/dataset3.sql   | 27199 ++++++++++++++++++++++++++++++++++++
 Submission/ex11.sql       |    24 +
 Submission/ex12.sql       |     8 +
 Submission/ex14.sql       |     1 +
 Submission/ex15.sql       |     5 +
 Submission/ex16.sql       |     9 +
 Submission/ex17.sql       |     6 +
 Submission/ex18.sql       |     7 +
 Submission/ex19.sql       |    16 +
 Submission/report.pdf.pdf |   Bin 0 -> 175199 bytes
 Submission/report.tex     |   504 +
 report.pdf.pdf            |   Bin 0 -> 175199 bytes
 report.tex                |   504 +
 17 files changed, 55172 insertions(+)
 create mode 100644 Submission/cw2.tar
 create mode 100644 Submission/cw2.tar.gz
 create mode 100644 Submission/dataset.sql
 create mode 100644 Submission/dataset2.sql
 create mode 100644 Submission/dataset3.sql
 create mode 100644 Submission/ex11.sql
 create mode 100644 Submission/ex12.sql
 create mode 100644 Submission/ex14.sql
 create mode 100644 Submission/ex15.sql
 create mode 100644 Submission/ex16.sql
 create mode 100644 Submission/ex17.sql
 create mode 100644 Submission/ex18.sql
 create mode 100644 Submission/ex19.sql
 create mode 100644 Submission/report.pdf.pdf
 create mode 100644 Submission/report.tex
 create mode 100644 report.pdf.pdf
 create mode 100644 report.tex

diff --git a/Submission/cw2.tar b/Submission/cw2.tar
new file mode 100644
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diff --git a/Submission/dataset.sql b/Submission/dataset.sql
new file mode 100644
index 0000000..d124a46
--- /dev/null
+++ b/Submission/dataset.sql
@@ -0,0 +1,13434 @@
+PRAGMA foreign_keys=OFF;
+BEGIN TRANSACTION;
+CREATE TABLE dataset(
+  "dateRep" TEXT,
+  "day" TEXT,
+  "month" TEXT,
+  "year" TEXT,
+  "cases" TEXT,
+  "deaths" TEXT,
+  "countriesAndTerritories" TEXT,
+  "geoId" TEXT,
+  "countryterritoryCode" TEXT,
+  "popData2018" TEXT,
+  "continentExp" TEXT
+);
+INSERT INTO dataset VALUES('27/04/2020','27','4','2020','68','21','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('26/04/2020','26','4','2020','112','4','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('25/04/2020','25','4','2020','70','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('24/04/2020','24','4','2020','105','2','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('23/04/2020','23','4','2020','84','4','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('22/04/2020','22','4','2020','61','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('21/04/2020','21','4','2020','35','2','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('20/04/2020','20','4','2020','88','3','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('19/04/2020','19','4','2020','63','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('18/04/2020','18','4','2020','51','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('17/04/2020','17','4','2020','10','4','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('16/04/2020','16','4','2020','70','2','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('15/04/2020','15','4','2020','49','2','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('14/04/2020','14','4','2020','58','3','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('13/04/2020','13','4','2020','52','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('12/04/2020','12','4','2020','34','3','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('11/04/2020','11','4','2020','37','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('10/04/2020','10','4','2020','61','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('09/04/2020','9','4','2020','56','3','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('08/04/2020','8','4','2020','30','4','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('07/04/2020','7','4','2020','38','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('06/04/2020','6','4','2020','29','2','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('05/04/2020','5','4','2020','35','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('04/04/2020','4','4','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('03/04/2020','3','4','2020','43','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('02/04/2020','2','4','2020','26','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('01/04/2020','1','4','2020','25','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('31/03/2020','31','3','2020','27','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('30/03/2020','30','3','2020','8','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('29/03/2020','29','3','2020','15','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('28/03/2020','28','3','2020','16','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('27/03/2020','27','3','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('26/03/2020','26','3','2020','33','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('25/03/2020','25','3','2020','2','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('24/03/2020','24','3','2020','6','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('23/03/2020','23','3','2020','10','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('22/03/2020','22','3','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('21/03/2020','21','3','2020','2','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('20/03/2020','20','3','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('19/03/2020','19','3','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('18/03/2020','18','3','2020','1','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('17/03/2020','17','3','2020','5','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('16/03/2020','16','3','2020','6','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('15/03/2020','15','3','2020','3','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('11/03/2020','11','3','2020','3','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('08/03/2020','8','3','2020','3','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('02/03/2020','2','3','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('01/03/2020','1','3','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('29/02/2020','29','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('28/02/2020','28','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('27/02/2020','27','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('26/02/2020','26','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('25/02/2020','25','2','2020','1','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('24/02/2020','24','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('23/02/2020','23','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('22/02/2020','22','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('21/02/2020','21','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('20/02/2020','20','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('19/02/2020','19','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('18/02/2020','18','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('17/02/2020','17','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('16/02/2020','16','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('15/02/2020','15','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('14/02/2020','14','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('13/02/2020','13','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('12/02/2020','12','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('11/02/2020','11','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('10/02/2020','10','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('09/02/2020','9','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('08/02/2020','8','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('07/02/2020','7','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('06/02/2020','6','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('05/02/2020','5','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('04/02/2020','4','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('03/02/2020','3','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('02/02/2020','2','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('01/02/2020','1','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('31/01/2020','31','1','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('30/01/2020','30','1','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('29/01/2020','29','1','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('28/01/2020','28','1','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('27/01/2020','27','1','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('26/01/2020','26','1','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('25/01/2020','25','1','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
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+INSERT INTO dataset VALUES('27/04/2020','27','4','2020','0','0','Western_Sahara','EH','','','Africa');
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+INSERT INTO dataset VALUES('13/04/2020','13','4','2020','3','0','Zambia','ZM','ZMB','17351822','Africa');
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+INSERT INTO dataset VALUES('11/04/2020','11','4','2020','1','1','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('10/04/2020','10','4','2020','0','0','Zambia','ZM','ZMB','17351822','Africa');
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+INSERT INTO dataset VALUES('01/04/2020','1','4','2020','0','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('31/03/2020','31','3','2020','6','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('30/03/2020','30','3','2020','1','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('29/03/2020','29','3','2020','12','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('28/03/2020','28','3','2020','2','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('27/03/2020','27','3','2020','2','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('26/03/2020','26','3','2020','9','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('25/03/2020','25','3','2020','0','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('24/03/2020','24','3','2020','0','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('23/03/2020','23','3','2020','1','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('22/03/2020','22','3','2020','0','0','Zambia','ZM','ZMB','17351822','Africa');
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+INSERT INTO dataset VALUES('20/03/2020','20','3','2020','0','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('19/03/2020','19','3','2020','2','0','Zambia','ZM','ZMB','17351822','Africa');
+INSERT INTO dataset VALUES('27/04/2020','27','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('26/04/2020','26','4','2020','2','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('25/04/2020','25','4','2020','0','1','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('24/04/2020','24','4','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('23/04/2020','23','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('22/04/2020','22','4','2020','3','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('21/04/2020','21','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('20/04/2020','20','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('19/04/2020','19','4','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('18/04/2020','18','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('17/04/2020','17','4','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('16/04/2020','16','4','2020','6','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('15/04/2020','15','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('14/04/2020','14','4','2020','3','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('13/04/2020','13','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('12/04/2020','12','4','2020','3','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('11/04/2020','11','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('10/04/2020','10','4','2020','0','1','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('09/04/2020','9','4','2020','1','1','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('08/04/2020','8','4','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('07/04/2020','7','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('06/04/2020','6','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('05/04/2020','5','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('04/04/2020','4','4','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('03/04/2020','3','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('02/04/2020','2','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('01/04/2020','1','4','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('31/03/2020','31','3','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('30/03/2020','30','3','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('29/03/2020','29','3','2020','2','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('28/03/2020','28','3','2020','2','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('27/03/2020','27','3','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('26/03/2020','26','3','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('25/03/2020','25','3','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('24/03/2020','24','3','2020','0','1','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('23/03/2020','23','3','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('22/03/2020','22','3','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('21/03/2020','21','3','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+COMMIT;
diff --git a/Submission/dataset2.sql b/Submission/dataset2.sql
new file mode 100644
index 0000000..6af70a5
--- /dev/null
+++ b/Submission/dataset2.sql
@@ -0,0 +1,13455 @@
+PRAGMA foreign_keys=OFF;
+BEGIN TRANSACTION;
+CREATE TABLE dataset(
+  "dateRep" TEXT,
+  "day" TEXT,
+  "month" TEXT,
+  "year" TEXT,
+  "cases" TEXT,
+  "deaths" TEXT,
+  "countriesAndTerritories" TEXT,
+  "geoId" TEXT,
+  "countryterritoryCode" TEXT,
+  "popData2018" TEXT,
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+INSERT INTO dataset VALUES('27/04/2020','27','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
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+INSERT INTO dataset VALUES('08/04/2020','8','4','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('07/04/2020','7','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('06/04/2020','6','4','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
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+INSERT INTO dataset VALUES('04/04/2020','4','4','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
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+INSERT INTO dataset VALUES('29/03/2020','29','3','2020','2','0','Zimbabwe','ZW','ZWE','14439018','Africa');
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+INSERT INTO dataset VALUES('27/03/2020','27','3','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('26/03/2020','26','3','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('25/03/2020','25','3','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('24/03/2020','24','3','2020','0','1','Zimbabwe','ZW','ZWE','14439018','Africa');
+INSERT INTO dataset VALUES('23/03/2020','23','3','2020','0','0','Zimbabwe','ZW','ZWE','14439018','Africa');
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+INSERT INTO dataset VALUES('21/03/2020','21','3','2020','1','0','Zimbabwe','ZW','ZWE','14439018','Africa');
+CREATE TABLE Date (
+dateRep TEXT NOT NULL PRIMARY KEY, day INTEGER, month INTEGER, year INTEGER
+);
+CREATE TABLE Country (
+geoId TEXT NOT NULL PRIMARY KEY, countriesAndTerritories TEXT, countryterritoryCode TEXT,
+continentExp TEXT, popData2018 INTEGER
+);
+CREATE TABLE [Virus] (
+dateRep TEXT, geoId TEXT, cases TEXT, deaths INTEGER,
+PRIMARY KEY(dateRep, geoId),
+CONSTRAINT fk_date
+	FOREIGN KEY (dateRep)
+	REFERENCES date(dateRep),
+CONSTRAINT fk_country_id
+	FOREIGN KEY (geoId)
+	REFERENCES country(geoId)
+);
+CREATE INDEX dateIndex ON Date(dateRep);
+CREATE INDEX dateLocation ON Virus(dateRep, geoId);
+CREATE INDEX locationName ON Country(countriesAndTerritories);
+CREATE INDEX locationId ON Country(geoId);
+COMMIT;
diff --git a/Submission/dataset3.sql b/Submission/dataset3.sql
new file mode 100644
index 0000000..070ba38
--- /dev/null
+++ b/Submission/dataset3.sql
@@ -0,0 +1,27199 @@
+PRAGMA foreign_keys=OFF;
+BEGIN TRANSACTION;
+CREATE TABLE dataset(
+  "dateRep" TEXT,
+  "day" TEXT,
+  "month" TEXT,
+  "year" TEXT,
+  "cases" TEXT,
+  "deaths" TEXT,
+  "countriesAndTerritories" TEXT,
+  "geoId" TEXT,
+  "countryterritoryCode" TEXT,
+  "popData2018" TEXT,
+  "continentExp" TEXT
+);
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+INSERT INTO dataset VALUES('26/04/2020','26','4','2020','112','4','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('25/04/2020','25','4','2020','70','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('24/04/2020','24','4','2020','105','2','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('23/04/2020','23','4','2020','84','4','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('22/04/2020','22','4','2020','61','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('21/04/2020','21','4','2020','35','2','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('20/04/2020','20','4','2020','88','3','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('19/04/2020','19','4','2020','63','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('18/04/2020','18','4','2020','51','1','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('17/04/2020','17','4','2020','10','4','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('16/04/2020','16','4','2020','70','2','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('15/04/2020','15','4','2020','49','2','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('14/04/2020','14','4','2020','58','3','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('13/04/2020','13','4','2020','52','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('12/04/2020','12','4','2020','34','3','Afghanistan','AF','AFG','37172386','Asia');
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+INSERT INTO dataset VALUES('03/04/2020','3','4','2020','43','0','Afghanistan','AF','AFG','37172386','Asia');
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+INSERT INTO dataset VALUES('13/02/2020','13','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('12/02/2020','12','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('11/02/2020','11','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
+INSERT INTO dataset VALUES('10/02/2020','10','2','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
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+INSERT INTO dataset VALUES('11/01/2020','11','1','2020','0','0','Afghanistan','AF','AFG','37172386','Asia');
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+INSERT INTO Date VALUES('27/02/2020',27,2,2020);
+INSERT INTO Date VALUES('26/02/2020',26,2,2020);
+INSERT INTO Date VALUES('25/02/2020',25,2,2020);
+INSERT INTO Date VALUES('24/02/2020',24,2,2020);
+INSERT INTO Date VALUES('23/02/2020',23,2,2020);
+INSERT INTO Date VALUES('22/02/2020',22,2,2020);
+INSERT INTO Date VALUES('21/02/2020',21,2,2020);
+INSERT INTO Date VALUES('20/02/2020',20,2,2020);
+INSERT INTO Date VALUES('19/02/2020',19,2,2020);
+INSERT INTO Date VALUES('18/02/2020',18,2,2020);
+INSERT INTO Date VALUES('17/02/2020',17,2,2020);
+INSERT INTO Date VALUES('16/02/2020',16,2,2020);
+INSERT INTO Date VALUES('15/02/2020',15,2,2020);
+INSERT INTO Date VALUES('14/02/2020',14,2,2020);
+INSERT INTO Date VALUES('13/02/2020',13,2,2020);
+INSERT INTO Date VALUES('12/02/2020',12,2,2020);
+INSERT INTO Date VALUES('11/02/2020',11,2,2020);
+INSERT INTO Date VALUES('10/02/2020',10,2,2020);
+INSERT INTO Date VALUES('09/02/2020',9,2,2020);
+INSERT INTO Date VALUES('08/02/2020',8,2,2020);
+INSERT INTO Date VALUES('07/02/2020',7,2,2020);
+INSERT INTO Date VALUES('06/02/2020',6,2,2020);
+INSERT INTO Date VALUES('05/02/2020',5,2,2020);
+INSERT INTO Date VALUES('04/02/2020',4,2,2020);
+INSERT INTO Date VALUES('03/02/2020',3,2,2020);
+INSERT INTO Date VALUES('02/02/2020',2,2,2020);
+INSERT INTO Date VALUES('01/02/2020',1,2,2020);
+INSERT INTO Date VALUES('31/01/2020',31,1,2020);
+INSERT INTO Date VALUES('30/01/2020',30,1,2020);
+INSERT INTO Date VALUES('29/01/2020',29,1,2020);
+INSERT INTO Date VALUES('28/01/2020',28,1,2020);
+INSERT INTO Date VALUES('27/01/2020',27,1,2020);
+INSERT INTO Date VALUES('26/01/2020',26,1,2020);
+INSERT INTO Date VALUES('25/01/2020',25,1,2020);
+INSERT INTO Date VALUES('24/01/2020',24,1,2020);
+INSERT INTO Date VALUES('23/01/2020',23,1,2020);
+INSERT INTO Date VALUES('22/01/2020',22,1,2020);
+INSERT INTO Date VALUES('21/01/2020',21,1,2020);
+INSERT INTO Date VALUES('20/01/2020',20,1,2020);
+INSERT INTO Date VALUES('19/01/2020',19,1,2020);
+INSERT INTO Date VALUES('18/01/2020',18,1,2020);
+INSERT INTO Date VALUES('17/01/2020',17,1,2020);
+INSERT INTO Date VALUES('16/01/2020',16,1,2020);
+INSERT INTO Date VALUES('15/01/2020',15,1,2020);
+INSERT INTO Date VALUES('14/01/2020',14,1,2020);
+INSERT INTO Date VALUES('13/01/2020',13,1,2020);
+INSERT INTO Date VALUES('12/01/2020',12,1,2020);
+INSERT INTO Date VALUES('11/01/2020',11,1,2020);
+INSERT INTO Date VALUES('10/01/2020',10,1,2020);
+INSERT INTO Date VALUES('09/01/2020',9,1,2020);
+INSERT INTO Date VALUES('08/01/2020',8,1,2020);
+INSERT INTO Date VALUES('07/01/2020',7,1,2020);
+INSERT INTO Date VALUES('06/01/2020',6,1,2020);
+INSERT INTO Date VALUES('05/01/2020',5,1,2020);
+INSERT INTO Date VALUES('04/01/2020',4,1,2020);
+INSERT INTO Date VALUES('03/01/2020',3,1,2020);
+INSERT INTO Date VALUES('02/01/2020',2,1,2020);
+INSERT INTO Date VALUES('01/01/2020',1,1,2020);
+INSERT INTO Date VALUES('31/12/2019',31,12,2019);
+INSERT INTO Date VALUES('14/03/2020',14,3,2020);
+INSERT INTO Date VALUES('13/03/2020',13,3,2020);
+INSERT INTO Date VALUES('12/03/2020',12,3,2020);
+INSERT INTO Date VALUES('10/03/2020',10,3,2020);
+INSERT INTO Date VALUES('09/03/2020',9,3,2020);
+INSERT INTO Date VALUES('06/03/2020',6,3,2020);
+INSERT INTO Date VALUES('05/03/2020',5,3,2020);
+INSERT INTO Date VALUES('04/03/2020',4,3,2020);
+INSERT INTO Date VALUES('03/03/2020',3,3,2020);
+INSERT INTO Date VALUES('07/03/2020',7,3,2020);
+CREATE TABLE Country (
+geoId TEXT NOT NULL PRIMARY KEY, countriesAndTerritories TEXT, countryterritoryCode TEXT,
+continentExp TEXT, popData2018 INTEGER
+);
+INSERT INTO Country VALUES('AF','Afghanistan','AFG','Asia',37172386);
+INSERT INTO Country VALUES('AL','Albania','ALB','Europe',2866376);
+INSERT INTO Country VALUES('DZ','Algeria','DZA','Africa',42228429);
+INSERT INTO Country VALUES('AD','Andorra','AND','Europe',77006);
+INSERT INTO Country VALUES('AO','Angola','AGO','Africa',30809762);
+INSERT INTO Country VALUES('AI','Anguilla','','America','');
+INSERT INTO Country VALUES('AG','Antigua_and_Barbuda','ATG','America',96286);
+INSERT INTO Country VALUES('AR','Argentina','ARG','America',44494502);
+INSERT INTO Country VALUES('AM','Armenia','ARM','Europe',2951776);
+INSERT INTO Country VALUES('AW','Aruba','ABW','America',105845);
+INSERT INTO Country VALUES('AU','Australia','AUS','Oceania',24992369);
+INSERT INTO Country VALUES('AT','Austria','AUT','Europe',8847037);
+INSERT INTO Country VALUES('AZ','Azerbaijan','AZE','Europe',9942334);
+INSERT INTO Country VALUES('BS','Bahamas','BHS','America',385640);
+INSERT INTO Country VALUES('BH','Bahrain','BHR','Asia',1569439);
+INSERT INTO Country VALUES('BD','Bangladesh','BGD','Asia',161356039);
+INSERT INTO Country VALUES('BB','Barbados','BRB','America',286641);
+INSERT INTO Country VALUES('BY','Belarus','BLR','Europe',9485386);
+INSERT INTO Country VALUES('BE','Belgium','BEL','Europe',11422068);
+INSERT INTO Country VALUES('BZ','Belize','BLZ','America',383071);
+INSERT INTO Country VALUES('BJ','Benin','BEN','Africa',11485048);
+INSERT INTO Country VALUES('BM','Bermuda','BMU','America',63968);
+INSERT INTO Country VALUES('BT','Bhutan','BTN','Asia',754394);
+INSERT INTO Country VALUES('BO','Bolivia','BOL','America',11353142);
+INSERT INTO Country VALUES('BQ','Bonaire, Saint Eustatius and Saba','','America','');
+INSERT INTO Country VALUES('BA','Bosnia_and_Herzegovina','BIH','Europe',3323929);
+INSERT INTO Country VALUES('BW','Botswana','BWA','Africa',2254126);
+INSERT INTO Country VALUES('BR','Brazil','BRA','America',209469333);
+INSERT INTO Country VALUES('VG','British_Virgin_Islands','VGB','America',29802);
+INSERT INTO Country VALUES('BN','Brunei_Darussalam','BRN','Asia',428962);
+INSERT INTO Country VALUES('BG','Bulgaria','BGR','Europe',7024216);
+INSERT INTO Country VALUES('BF','Burkina_Faso','BFA','Africa',19751535);
+INSERT INTO Country VALUES('BI','Burundi','BDI','Africa',11175378);
+INSERT INTO Country VALUES('KH','Cambodia','KHM','Asia',16249798);
+INSERT INTO Country VALUES('CM','Cameroon','CMR','Africa',25216237);
+INSERT INTO Country VALUES('CA','Canada','CAN','America',37058856);
+INSERT INTO Country VALUES('CV','Cape_Verde','CPV','Africa',543767);
+INSERT INTO Country VALUES('JPG11668','Cases_on_an_international_conveyance_Japan','N/A','Other',3000);
+INSERT INTO Country VALUES('KY','Cayman_Islands','CYM','America',64174);
+INSERT INTO Country VALUES('CF','Central_African_Republic','CAF','Africa',4666377);
+INSERT INTO Country VALUES('TD','Chad','TCD','Africa',15477751);
+INSERT INTO Country VALUES('CL','Chile','CHL','America',18729160);
+INSERT INTO Country VALUES('CN','China','CHN','Asia',1392730000);
+INSERT INTO Country VALUES('CO','Colombia','COL','America',49648685);
+INSERT INTO Country VALUES('CG','Congo','COG','Africa',5244363);
+INSERT INTO Country VALUES('CR','Costa_Rica','CRI','America',4999441);
+INSERT INTO Country VALUES('CI','Cote_dIvoire','CIV','Africa',25069229);
+INSERT INTO Country VALUES('HR','Croatia','HRV','Europe',4089400);
+INSERT INTO Country VALUES('CU','Cuba','CUB','America',11338138);
+INSERT INTO Country VALUES('CW','Curaçao','CUW','America',159849);
+INSERT INTO Country VALUES('CY','Cyprus','CYP','Europe',1189265);
+INSERT INTO Country VALUES('CZ','Czechia','CZE','Europe',10625695);
+INSERT INTO Country VALUES('CD','Democratic_Republic_of_the_Congo','COD','Africa',84068091);
+INSERT INTO Country VALUES('DK','Denmark','DNK','Europe',5797446);
+INSERT INTO Country VALUES('DJ','Djibouti','DJI','Africa',958920);
+INSERT INTO Country VALUES('DM','Dominica','DMA','America',71625);
+INSERT INTO Country VALUES('DO','Dominican_Republic','DOM','America',10627165);
+INSERT INTO Country VALUES('EC','Ecuador','ECU','America',17084357);
+INSERT INTO Country VALUES('EG','Egypt','EGY','Africa',98423595);
+INSERT INTO Country VALUES('SV','El_Salvador','SLV','America',6420744);
+INSERT INTO Country VALUES('GQ','Equatorial_Guinea','GNQ','Africa',1308974);
+INSERT INTO Country VALUES('ER','Eritrea','ERI','Africa','');
+INSERT INTO Country VALUES('EE','Estonia','EST','Europe',1320884);
+INSERT INTO Country VALUES('SZ','Eswatini','SWZ','Africa',1367000);
+INSERT INTO Country VALUES('ET','Ethiopia','ETH','Africa',109224559);
+INSERT INTO Country VALUES('FK','Falkland_Islands_(Malvinas)','','America','');
+INSERT INTO Country VALUES('FO','Faroe_Islands','FRO','Europe',48497);
+INSERT INTO Country VALUES('FJ','Fiji','FJI','Oceania',883483);
+INSERT INTO Country VALUES('FI','Finland','FIN','Europe',5518050);
+INSERT INTO Country VALUES('FR','France','FRA','Europe',66987244);
+INSERT INTO Country VALUES('PF','French_Polynesia','PYF','Oceania',277679);
+INSERT INTO Country VALUES('GA','Gabon','GAB','Africa',2119275);
+INSERT INTO Country VALUES('GM','Gambia','GMB','Africa',2280102);
+INSERT INTO Country VALUES('GE','Georgia','GEO','Europe',3731000);
+INSERT INTO Country VALUES('DE','Germany','DEU','Europe',82927922);
+INSERT INTO Country VALUES('GH','Ghana','GHA','Africa',29767108);
+INSERT INTO Country VALUES('GI','Gibraltar','GIB','Europe',33718);
+INSERT INTO Country VALUES('EL','Greece','GRC','Europe',10727668);
+INSERT INTO Country VALUES('GL','Greenland','GRL','America',56025);
+INSERT INTO Country VALUES('GD','Grenada','GRD','America',111454);
+INSERT INTO Country VALUES('GU','Guam','GUM','Oceania',165768);
+INSERT INTO Country VALUES('GT','Guatemala','GTM','America',17247807);
+INSERT INTO Country VALUES('GG','Guernsey','GGY','Europe',63026);
+INSERT INTO Country VALUES('GN','Guinea','GIN','Africa',12414318);
+INSERT INTO Country VALUES('GW','Guinea_Bissau','GNB','Africa',1874309);
+INSERT INTO Country VALUES('GY','Guyana','GUY','America',779004);
+INSERT INTO Country VALUES('HT','Haiti','HTI','America',11123176);
+INSERT INTO Country VALUES('VA','Holy_See','VAT','Europe',1000);
+INSERT INTO Country VALUES('HN','Honduras','HND','America',9587522);
+INSERT INTO Country VALUES('HU','Hungary','HUN','Europe',9768785);
+INSERT INTO Country VALUES('IS','Iceland','ISL','Europe',353574);
+INSERT INTO Country VALUES('IN','India','IND','Asia',1352617328);
+INSERT INTO Country VALUES('ID','Indonesia','IDN','Asia',267663435);
+INSERT INTO Country VALUES('IR','Iran','IRN','Asia',81800269);
+INSERT INTO Country VALUES('IQ','Iraq','IRQ','Asia',38433600);
+INSERT INTO Country VALUES('IE','Ireland','IRL','Europe',4853506);
+INSERT INTO Country VALUES('IM','Isle_of_Man','IMN','Europe',84077);
+INSERT INTO Country VALUES('IL','Israel','ISR','Asia',8883800);
+INSERT INTO Country VALUES('IT','Italy','ITA','Europe',60431283);
+INSERT INTO Country VALUES('JM','Jamaica','JAM','America',2934855);
+INSERT INTO Country VALUES('JP','Japan','JPN','Asia',126529100);
+INSERT INTO Country VALUES('JE','Jersey','JEY','Europe',106800);
+INSERT INTO Country VALUES('JO','Jordan','JOR','Asia',9956011);
+INSERT INTO Country VALUES('KZ','Kazakhstan','KAZ','Asia',18276499);
+INSERT INTO Country VALUES('KE','Kenya','KEN','Africa',51393010);
+INSERT INTO Country VALUES('XK','Kosovo','XKX','Europe',1845300);
+INSERT INTO Country VALUES('KW','Kuwait','KWT','Asia',4137309);
+INSERT INTO Country VALUES('KG','Kyrgyzstan','KGZ','Asia',6315800);
+INSERT INTO Country VALUES('LA','Laos','LAO','Asia',7061507);
+INSERT INTO Country VALUES('LV','Latvia','LVA','Europe',1926542);
+INSERT INTO Country VALUES('LB','Lebanon','LBN','Asia',6848925);
+INSERT INTO Country VALUES('LR','Liberia','LBR','Africa',4818977);
+INSERT INTO Country VALUES('LY','Libya','LBY','Africa',6678567);
+INSERT INTO Country VALUES('LI','Liechtenstein','LIE','Europe',37910);
+INSERT INTO Country VALUES('LT','Lithuania','LTU','Europe',2789533);
+INSERT INTO Country VALUES('LU','Luxembourg','LUX','Europe',607728);
+INSERT INTO Country VALUES('MG','Madagascar','MDG','Africa',26262368);
+INSERT INTO Country VALUES('MW','Malawi','MWI','Africa',18143315);
+INSERT INTO Country VALUES('MY','Malaysia','MYS','Asia',31528585);
+INSERT INTO Country VALUES('MV','Maldives','MDV','Asia',515696);
+INSERT INTO Country VALUES('ML','Mali','MLI','Africa',19077690);
+INSERT INTO Country VALUES('MT','Malta','MLT','Europe',483530);
+INSERT INTO Country VALUES('MR','Mauritania','MRT','Africa',4403319);
+INSERT INTO Country VALUES('MU','Mauritius','MUS','Africa',1265303);
+INSERT INTO Country VALUES('MX','Mexico','MEX','America',126190788);
+INSERT INTO Country VALUES('MD','Moldova','MDA','Europe',3545883);
+INSERT INTO Country VALUES('MC','Monaco','MCO','Europe',38682);
+INSERT INTO Country VALUES('MN','Mongolia','MNG','Asia',3170208);
+INSERT INTO Country VALUES('ME','Montenegro','MNE','Europe',622345);
+INSERT INTO Country VALUES('MS','Montserrat','MSR','America',5900);
+INSERT INTO Country VALUES('MA','Morocco','MAR','Africa',36029138);
+INSERT INTO Country VALUES('MZ','Mozambique','MOZ','Africa',29495962);
+INSERT INTO Country VALUES('MM','Myanmar','MMR','Asia',53708395);
+INSERT INTO Country VALUES('NA','Namibia','NAM','Africa',2448255);
+INSERT INTO Country VALUES('NP','Nepal','NPL','Asia',28087871);
+INSERT INTO Country VALUES('NL','Netherlands','NLD','Europe',17231017);
+INSERT INTO Country VALUES('NC','New_Caledonia','NCL','Oceania',284060);
+INSERT INTO Country VALUES('NZ','New_Zealand','NZL','Oceania',4885500);
+INSERT INTO Country VALUES('NI','Nicaragua','NIC','America',6465513);
+INSERT INTO Country VALUES('NE','Niger','NER','Africa',22442948);
+INSERT INTO Country VALUES('NG','Nigeria','NGA','Africa',195874740);
+INSERT INTO Country VALUES('MK','North_Macedonia','MKD','Europe',2082958);
+INSERT INTO Country VALUES('MP','Northern_Mariana_Islands','MNP','Oceania',56882);
+INSERT INTO Country VALUES('NO','Norway','NOR','Europe',5314336);
+INSERT INTO Country VALUES('OM','Oman','OMN','Asia',4829483);
+INSERT INTO Country VALUES('PK','Pakistan','PAK','Asia',212215030);
+INSERT INTO Country VALUES('PS','Palestine','PSE','Asia',4569087);
+INSERT INTO Country VALUES('PA','Panama','PAN','America',4176873);
+INSERT INTO Country VALUES('PG','Papua_New_Guinea','PNG','Oceania',8606316);
+INSERT INTO Country VALUES('PY','Paraguay','PRY','America',6956071);
+INSERT INTO Country VALUES('PE','Peru','PER','America',31989256);
+INSERT INTO Country VALUES('PH','Philippines','PHL','Asia',106651922);
+INSERT INTO Country VALUES('PL','Poland','POL','Europe',37978548);
+INSERT INTO Country VALUES('PT','Portugal','PRT','Europe',10281762);
+INSERT INTO Country VALUES('PR','Puerto_Rico','PRI','America',3195153);
+INSERT INTO Country VALUES('QA','Qatar','QAT','Asia',2781677);
+INSERT INTO Country VALUES('RO','Romania','ROU','Europe',19473936);
+INSERT INTO Country VALUES('RU','Russia','RUS','Europe',144478050);
+INSERT INTO Country VALUES('RW','Rwanda','RWA','Africa',12301939);
+INSERT INTO Country VALUES('KN','Saint_Kitts_and_Nevis','KNA','America',52441);
+INSERT INTO Country VALUES('LC','Saint_Lucia','LCA','America',181889);
+INSERT INTO Country VALUES('VC','Saint_Vincent_and_the_Grenadines','VCT','America',110210);
+INSERT INTO Country VALUES('SM','San_Marino','SMR','Europe',33785);
+INSERT INTO Country VALUES('ST','Sao_Tome_and_Principe','STP','Africa',211028);
+INSERT INTO Country VALUES('SA','Saudi_Arabia','SAU','Asia',33699947);
+INSERT INTO Country VALUES('SN','Senegal','SEN','Africa',15854360);
+INSERT INTO Country VALUES('RS','Serbia','SRB','Europe',6982084);
+INSERT INTO Country VALUES('SC','Seychelles','SYC','Africa',96762);
+INSERT INTO Country VALUES('SL','Sierra_Leone','SLE','Africa',7650154);
+INSERT INTO Country VALUES('SG','Singapore','SGP','Asia',5638676);
+INSERT INTO Country VALUES('SX','Sint_Maarten','SXM','America',41486);
+INSERT INTO Country VALUES('SK','Slovakia','SVK','Europe',5447011);
+INSERT INTO Country VALUES('SI','Slovenia','SVN','Europe',2067372);
+INSERT INTO Country VALUES('SO','Somalia','SOM','Africa',15008154);
+INSERT INTO Country VALUES('ZA','South_Africa','ZAF','Africa',57779622);
+INSERT INTO Country VALUES('KR','South_Korea','KOR','Asia',51635256);
+INSERT INTO Country VALUES('SS','South_Sudan','SSD','Africa',10975920);
+INSERT INTO Country VALUES('ES','Spain','ESP','Europe',46723749);
+INSERT INTO Country VALUES('LK','Sri_Lanka','LKA','Asia',21670000);
+INSERT INTO Country VALUES('SD','Sudan','SDN','Africa',41801533);
+INSERT INTO Country VALUES('SR','Suriname','SUR','America',575991);
+INSERT INTO Country VALUES('SE','Sweden','SWE','Europe',10183175);
+INSERT INTO Country VALUES('CH','Switzerland','CHE','Europe',8516543);
+INSERT INTO Country VALUES('SY','Syria','SYR','Asia',16906283);
+INSERT INTO Country VALUES('TW','Taiwan','TWN','Asia',23780452);
+INSERT INTO Country VALUES('TH','Thailand','THA','Asia',69428524);
+INSERT INTO Country VALUES('TL','Timor_Leste','TLS','Asia',1267972);
+INSERT INTO Country VALUES('TG','Togo','TGO','Africa',7889094);
+INSERT INTO Country VALUES('TT','Trinidad_and_Tobago','TTO','America',1389858);
+INSERT INTO Country VALUES('TN','Tunisia','TUN','Africa',11565204);
+INSERT INTO Country VALUES('TR','Turkey','TUR','Asia',82319724);
+INSERT INTO Country VALUES('TC','Turks_and_Caicos_islands','TCA','America',31458);
+INSERT INTO Country VALUES('UG','Uganda','UGA','Africa',42723139);
+INSERT INTO Country VALUES('UA','Ukraine','UKR','Europe',44622516);
+INSERT INTO Country VALUES('AE','United_Arab_Emirates','ARE','Asia',9630959);
+INSERT INTO Country VALUES('UK','United_Kingdom','GBR','Europe',66488991);
+INSERT INTO Country VALUES('TZ','United_Republic_of_Tanzania','TZA','Africa',56318348);
+INSERT INTO Country VALUES('US','United_States_of_America','USA','America',327167434);
+INSERT INTO Country VALUES('VI','United_States_Virgin_Islands','VIR','America',106977);
+INSERT INTO Country VALUES('UY','Uruguay','URY','America',3449299);
+INSERT INTO Country VALUES('UZ','Uzbekistan','UZB','Asia',32955400);
+INSERT INTO Country VALUES('VE','Venezuela','VEN','America',28870195);
+INSERT INTO Country VALUES('VN','Vietnam','VNM','Asia',95540395);
+INSERT INTO Country VALUES('EH','Western_Sahara','','Africa','');
+INSERT INTO Country VALUES('YE','Yemen','YEM','Asia',28498687);
+INSERT INTO Country VALUES('ZM','Zambia','ZMB','Africa',17351822);
+INSERT INTO Country VALUES('ZW','Zimbabwe','ZWE','Africa',14439018);
+CREATE TABLE [Virus] (
+dateRep TEXT, geoId TEXT, cases TEXT, deaths INTEGER,
+PRIMARY KEY(dateRep, geoId),
+CONSTRAINT fk_date
+	FOREIGN KEY (dateRep)
+	REFERENCES date(dateRep),
+CONSTRAINT fk_country_id
+	FOREIGN KEY (geoId)
+	REFERENCES country(geoId)
+);
+INSERT INTO Virus VALUES('27/04/2020','AF','68',21);
+INSERT INTO Virus VALUES('26/04/2020','AF','112',4);
+INSERT INTO Virus VALUES('25/04/2020','AF','70',1);
+INSERT INTO Virus VALUES('24/04/2020','AF','105',2);
+INSERT INTO Virus VALUES('23/04/2020','AF','84',4);
+INSERT INTO Virus VALUES('22/04/2020','AF','61',1);
+INSERT INTO Virus VALUES('21/04/2020','AF','35',2);
+INSERT INTO Virus VALUES('20/04/2020','AF','88',3);
+INSERT INTO Virus VALUES('19/04/2020','AF','63',0);
+INSERT INTO Virus VALUES('18/04/2020','AF','51',1);
+INSERT INTO Virus VALUES('17/04/2020','AF','10',4);
+INSERT INTO Virus VALUES('16/04/2020','AF','70',2);
+INSERT INTO Virus VALUES('15/04/2020','AF','49',2);
+INSERT INTO Virus VALUES('14/04/2020','AF','58',3);
+INSERT INTO Virus VALUES('13/04/2020','AF','52',0);
+INSERT INTO Virus VALUES('12/04/2020','AF','34',3);
+INSERT INTO Virus VALUES('11/04/2020','AF','37',0);
+INSERT INTO Virus VALUES('10/04/2020','AF','61',1);
+INSERT INTO Virus VALUES('09/04/2020','AF','56',3);
+INSERT INTO Virus VALUES('08/04/2020','AF','30',4);
+INSERT INTO Virus VALUES('07/04/2020','AF','38',0);
+INSERT INTO Virus VALUES('06/04/2020','AF','29',2);
+INSERT INTO Virus VALUES('05/04/2020','AF','35',1);
+INSERT INTO Virus VALUES('04/04/2020','AF','0',0);
+INSERT INTO Virus VALUES('03/04/2020','AF','43',0);
+INSERT INTO Virus VALUES('02/04/2020','AF','26',0);
+INSERT INTO Virus VALUES('01/04/2020','AF','25',0);
+INSERT INTO Virus VALUES('31/03/2020','AF','27',0);
+INSERT INTO Virus VALUES('30/03/2020','AF','8',1);
+INSERT INTO Virus VALUES('29/03/2020','AF','15',1);
+INSERT INTO Virus VALUES('28/03/2020','AF','16',1);
+INSERT INTO Virus VALUES('27/03/2020','AF','0',0);
+INSERT INTO Virus VALUES('26/03/2020','AF','33',0);
+INSERT INTO Virus VALUES('25/03/2020','AF','2',0);
+INSERT INTO Virus VALUES('24/03/2020','AF','6',1);
+INSERT INTO Virus VALUES('23/03/2020','AF','10',0);
+INSERT INTO Virus VALUES('22/03/2020','AF','0',0);
+INSERT INTO Virus VALUES('21/03/2020','AF','2',0);
+INSERT INTO Virus VALUES('20/03/2020','AF','0',0);
+INSERT INTO Virus VALUES('19/03/2020','AF','0',0);
+INSERT INTO Virus VALUES('18/03/2020','AF','1',0);
+INSERT INTO Virus VALUES('17/03/2020','AF','5',0);
+INSERT INTO Virus VALUES('16/03/2020','AF','6',0);
+INSERT INTO Virus VALUES('15/03/2020','AF','3',0);
+INSERT INTO Virus VALUES('11/03/2020','AF','3',0);
+INSERT INTO Virus VALUES('08/03/2020','AF','3',0);
+INSERT INTO Virus VALUES('02/03/2020','AF','0',0);
+INSERT INTO Virus VALUES('01/03/2020','AF','0',0);
+INSERT INTO Virus VALUES('29/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('28/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('27/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('26/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('25/02/2020','AF','1',0);
+INSERT INTO Virus VALUES('24/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('23/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('22/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('21/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('20/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('19/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('18/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('17/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('16/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('15/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('14/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('13/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('12/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('11/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('10/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('09/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('08/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('07/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('06/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('05/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('04/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('03/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('02/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('01/02/2020','AF','0',0);
+INSERT INTO Virus VALUES('31/01/2020','AF','0',0);
+INSERT INTO Virus VALUES('30/01/2020','AF','0',0);
+INSERT INTO Virus VALUES('29/01/2020','AF','0',0);
+INSERT INTO Virus VALUES('28/01/2020','AF','0',0);
+INSERT INTO Virus VALUES('27/01/2020','AF','0',0);
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+INSERT INTO Virus VALUES('26/03/2020','ZW','1',0);
+INSERT INTO Virus VALUES('25/03/2020','ZW','0',0);
+INSERT INTO Virus VALUES('24/03/2020','ZW','0',1);
+INSERT INTO Virus VALUES('23/03/2020','ZW','0',0);
+INSERT INTO Virus VALUES('22/03/2020','ZW','1',0);
+INSERT INTO Virus VALUES('21/03/2020','ZW','1',0);
+CREATE INDEX dateIndex ON Date(dateRep);
+CREATE INDEX dateLocation ON Virus(dateRep, geoId);
+CREATE INDEX locationName ON Country(countriesAndTerritories);
+CREATE INDEX locationId ON Country(geoId);
+COMMIT;
diff --git a/Submission/ex11.sql b/Submission/ex11.sql
new file mode 100644
index 0000000..625aee0
--- /dev/null
+++ b/Submission/ex11.sql
@@ -0,0 +1,24 @@
+CREATE TABLE Date (
+dateRep TEXT NOT NULL PRIMARY KEY, day INTEGER, month INTEGER, year INTEGER
+);
+
+CREATE TABLE Country (
+geoId TEXT NOT NULL PRIMARY KEY, countriesAndTerritories TEXT, countryterritoryCode TEXT,
+continentExp TEXT, popData2018 INTEGER
+);
+
+CREATE TABLE [Virus] (
+dateRep TEXT, geoId TEXT, cases TEXT, deaths INTEGER,
+PRIMARY KEY(dateRep, geoId),
+CONSTRAINT fk_date
+	FOREIGN KEY (dateRep)
+	REFERENCES date(dateRep),
+CONSTRAINT fk_country_id
+	FOREIGN KEY (geoId)
+	REFERENCES country(geoId)
+);
+
+CREATE INDEX dateIndex ON Date(dateRep);
+CREATE INDEX dateLocation ON Virus(dateRep, geoId);
+CREATE INDEX locationName ON Country(countriesAndTerritories);
+CREATE INDEX locationId ON Country(geoId);
\ No newline at end of file
diff --git a/Submission/ex12.sql b/Submission/ex12.sql
new file mode 100644
index 0000000..0970fcd
--- /dev/null
+++ b/Submission/ex12.sql
@@ -0,0 +1,8 @@
+INSERT INTO Date (dateRep, day, month, year)
+SELECT DISTINCT dateRep, day, month, year FROM dataset;
+
+INSERT INTO Country (geoId, countriesAndTerritories, countryterritoryCode, continentExp, popData2018)
+SELECT DISTINCT geoId, countriesAndTerritories, countryterritoryCode, continentExp, popData2018 FROM dataset;
+
+INSERT INTO Virus (dateRep, geoId, cases, deaths)
+SELECT DISTINCT dateRep, geoId, cases, deaths FROM dataset;
\ No newline at end of file
diff --git a/Submission/ex14.sql b/Submission/ex14.sql
new file mode 100644
index 0000000..89ac0be
--- /dev/null
+++ b/Submission/ex14.sql
@@ -0,0 +1 @@
+SELECT sum(cases) AS "total cases", sum(deaths) AS "total deaths" FROM Virus;
\ No newline at end of file
diff --git a/Submission/ex15.sql b/Submission/ex15.sql
new file mode 100644
index 0000000..21a06d2
--- /dev/null
+++ b/Submission/ex15.sql
@@ -0,0 +1,5 @@
+SELECT virus.dateRep AS date,
+       virus.cases AS "number of cases"
+FROM Virus INNER JOIN date ON virus.dateRep = date.dateRep
+WHERE virus.geoId = 'UK'
+ORDER BY date.year, date.month, date.day ASC;
\ No newline at end of file
diff --git a/Submission/ex16.sql b/Submission/ex16.sql
new file mode 100644
index 0000000..66101a9
--- /dev/null
+++ b/Submission/ex16.sql
@@ -0,0 +1,9 @@
+SELECT country.continentExp AS continent,
+       virus.dateRep AS date,
+       sum(virus.cases) AS "number of cases",
+       sum(virus.deaths) AS "number of deaths"
+FROM Virus
+INNER JOIN country ON virus.geoId = country.geoId
+INNER JOIN date ON virus.dateRep = date.dateRep
+GROUP BY country.continentExp, virus.dateRep
+ORDER BY date.year, date.month, date.day ASC;
\ No newline at end of file
diff --git a/Submission/ex17.sql b/Submission/ex17.sql
new file mode 100644
index 0000000..9d44ff4
--- /dev/null
+++ b/Submission/ex17.sql
@@ -0,0 +1,6 @@
+SELECT country.countriesAndTerritories AS country,
+       round((sum(virus.cases) * 1.0 / country.popData2018) * 100, 2) AS "% cases of population",
+       round((sum(virus.deaths) * 1.0 / country.popData2018) * 100, 2) AS "% cases of deaths"
+FROM Virus
+INNER JOIN Country ON virus.geoId = country.geoId
+GROUP BY country.countriesAndTerritories, country.popData2018;
diff --git a/Submission/ex18.sql b/Submission/ex18.sql
new file mode 100644
index 0000000..a882252
--- /dev/null
+++ b/Submission/ex18.sql
@@ -0,0 +1,7 @@
+SELECT country.countriesAndTerritories AS "country name",
+       round((sum(virus.deaths) * 1.0 / sum(virus.cases)) * 100, 2) AS "% cases of deaths"
+FROM Virus
+INNER JOIN Country ON virus.geoId = country.geoId
+GROUP BY country.countriesAndTerritories, country.popData2018
+ORDER BY "% cases of deaths" DESC
+LIMIT 10;
\ No newline at end of file
diff --git a/Submission/ex19.sql b/Submission/ex19.sql
new file mode 100644
index 0000000..6ff436d
--- /dev/null
+++ b/Submission/ex19.sql
@@ -0,0 +1,16 @@
+SELECT date.dateRep,
+       sum(virus.cases) OVER (
+           ORDER BY date.year, date.month, date.day
+           ROWS BETWEEN
+               UNBOUNDED PRECEDING
+               AND CURRENT ROW
+           ) AS 'cumulative UK cases',
+       sum(virus.deaths) OVER (
+           ORDER BY date.year, date.month, date.day
+           ROWS BETWEEN
+               UNBOUNDED PRECEDING
+               AND CURRENT ROW
+           ) AS 'cumulative UK deaths'
+FROM Date
+INNER JOIN Virus ON date.dateRep = virus.dateRep AND virus.geoId = 'UK'
+ORDER BY date.year, date.month, date.day ASC;
\ No newline at end of file
diff --git a/Submission/report.pdf.pdf b/Submission/report.pdf.pdf
new file mode 100644
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diff --git a/Submission/report.tex b/Submission/report.tex
new file mode 100644
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--- /dev/null
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+%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% Problem Set/Assignment Template to be used by the
+%% Food and Resource Economics Department - IFAS
+%% University of Florida's graduates.
+%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% Version 1.0 - November 2019
+%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% Ariel Soto-Caro
+%%  - asotocaro@ufl.edu
+%%  - arielsotocaro@gmail.com
+%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+
+\documentclass[12pt]{article}
+\usepackage{design_ASC}
+\usepackage{tikz}
+
+\usepackage[utf8]{inputenc} % Required for inputting international characters
+\usepackage[T1]{fontenc} % Output font encoding for international characters
+\usepackage{stix} % Use the STIX fonts
+
+\setlength\parindent{0pt} %% Do not touch this
+%\setlength\parskip{1em}
+
+
+\begin{document}
+
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Vertical Line Title Page
+% LaTeX Template
+% Version 2.0 (22/7/17)
+%
+% This template was downloaded from:
+% http://www.LaTeXTemplates.com
+%
+% Original author:
+% Peter Wilson (herries.press@earthlink.net) with modifications by:
+% Vel (vel@latextemplates.com)
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\begin{titlepage} % Suppresses displaying the page number on the title page and the subsequent page counts as page 1
+	
+	\raggedleft % Right align the title page
+	
+	\rule{1pt}{\textheight} % Vertical line
+	\hspace{0.05\textwidth} % Whitespace between the vertical line and title page text
+	\parbox[b]{0.75\textwidth}{ % Paragraph box for holding the title page text, adjust the width to move the title page left or right on the page
+		
+		{\Huge\bfseries Database Modelling}\\[2\baselineskip] % Title
+		{\large\textit{COMP1204 - Coursework 2}}\\[4\baselineskip] % Subtitle or further description
+		{\Large\textsc{Isaac Klugman}} % Author name, lower case for consistent small caps
+		
+		\vspace{0.5\textheight} % Whitespace between the title block and the publisher
+		
+		{\noindent Student ID: 30979536}\\[\baselineskip] % Publisher and logo
+		{\noindent Username: ik1g19}\\[\baselineskip] % Publisher and logo
+	}
+
+\end{titlepage}
+
+
+\pagebreak
+
+\section*{The Relational Model}
+
+\subsection*{EX1}
+
+The relations and their relevant data types:
+
+-$dateRep$ - The day, month and year in date format of when the record was collected. TEXT Data type.
+
+-$day$ - The number of the day of the month of which the record was collected. INTEGER Data type.
+
+-$month$ - The number of the month of which the record was collected. INTEGER Data type.
+
+-$year$ - The year of which the record was collected. INTEGER Data type.
+
+-$cases$ - The number of recorded cases on that day. INTEGER Data type.
+
+-$deaths$ - The number of deaths on that day. INTEGER Data type.
+
+-$countriesAndTerritories$ - The name of the country or territory. TEXT Data type.
+
+-$geoId$ - The geographical identifier for that country or territory. TEXT Data type.
+
+-$countryTerritoryCode$ - The code for that country or territory. TEXT Data type.
+
+-$popData2018$ - The population of the country or territory as of 2018. INTEGER Data type.
+
+-$continentExp$ - The name of the country or territory's continent. TEXT Data type.
+
+\subsection*{EX2}
+
+Functional dependencies in the Data Set:
+
+-$dateRep \rightarrow day, month, year$
+
+-$countriesAndTerritories \rightarrow geoId, countryterritoryCode, continentExp, popData2018$
+
+-$geoId \rightarrow countriesAndTerritories, countryterritoryCode, continentExp, popData2018$
+
+\vspace{1em}
+
+Individually, $day, month, year, cases, deaths, countryTerritoryCode$ and $continentExp$ do not functionally determine anything.
+
+In this given data set, $popData2018$ functionally determines $countriesAndTerritories, geoId, continentExp$ and $countryTerritoryCode$. However it is possible that two countries could of had the same population in 2018, if a country was added to this data set with an identical population in 2018 then $popData2018$ would no longer functionally determine any other attributes.
+
+$countryTerritoryCode$ would ordinarily determine $countriesAndTerritories, geoId, continentExp$ and $popData2018$. However in the given data set, there are some instances where $countryTerritoryCode$ is blank, meaning that the code can no longer uniquely determine any other attributes.
+
+\subsection*{EX3}
+
+Potential Candidate keys:
+
+-$dateRep, geoId$
+
+-$dateRep, countriesAndTerritories$
+
+-$dateRep, countryterritoryCode$
+
+\subsection*{EX4}
+
+$dateRep$ and $geoId$ make a suitable composite primary key.
+
+$dateRep$ can uniquely identify a record for each country and $geoId$ is a short string. I am not using $countriesAndTerritories$ as the strings are longer and $countryterritoryCode$ is not present for all countries.
+
+\section*{Normalisation}
+
+\subsection*{EX5}
+
+Existing partial key dependencies:
+
+-$day, month, year \rightarrow dateRep$
+
+-$countriesAndTerritories, countryterritoryCode, continentExp \rightarrow geoId$
+
+\vspace{1em}
+
+To solve this we can divide the original relation into three relations:
+
+-$dateRep, day, month, year$
+
+-$geoId, countriesAndTerritories, countryterritoryCode, continentExp, popData2018$
+
+-$dateRep, geoId, cases, deaths$
+
+\subsection*{EX6}
+
+The three new relations:
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c| } 
+ \hline
+ \multicolumn{4}{|c|}{Date} \\
+ \hline
+ dateRep & day & month & year \\
+ \hline
+ DATE & INTEGER & INTEGER & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c|c| } 
+ \hline
+ \multicolumn{5}{|c|}{Country} \\
+ \hline
+ geoId & countriesAndTerritories & countryterritoryCode & continentExp & popData2018 \\
+ \hline
+ TEXT & TEXT & TEXT & TEXT & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c| } 
+ \hline
+ \multicolumn{4}{|c|}{Virus Info} \\
+ \hline
+ dateRep & geoId & cases & deaths \\
+ \hline
+ TEXT & TEXT & INTEGER & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+The primary keys for their respective tables are:
+
+-Date - $dateRep$
+
+-Country - $geoId$
+
+-Virus - $dateRep, geoId$
+
+\vspace{1em}
+
+The foreign keys for their respective tables are:
+
+-Date - None
+
+-Country - None
+
+-Virus - $dateRep$ and $geoId$
+
+\vspace{1em}
+
+I established any partial key dependencies, $day, month$ and $year$ were dependent on $dateRep$ and not $geoId$, so they were only partially dependent on the key.
+
+$countriesAndTerritories, countryTerritoryCode$ and $continentExp$ were dependent on $geoId$ and not $dateRep$, so they were only partially dependent on the key. I then divided the attributes so that they all depended on the entirety of their respective keys.
+
+\subsection*{EX7}
+
+As the relations currently exist, there are no transitive dependencies.
+
+$countriesAndTerritories$ and $countryterritoryCode$ would be a transitive dependency as\newline
+$geoId \rightarrow countriesAndTerritories$ and $countriesAndTerritories \rightarrow countryterritoryCode$.
+
+But this is not a valid transitive dependency as $countriesAndTerritories \rightarrow geoId$, and for a transitive dependency $A \rightarrow B \rightarrow C$, there cannot exist $B \rightarrow A$.
+
+\subsection*{EX8}
+
+The relations in 3NF:
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c| } 
+ \hline
+ \multicolumn{4}{|c|}{Date} \\
+ \hline
+ dateRep & day & month & year \\
+ \hline
+ DATE & INTEGER & INTEGER & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c|c| } 
+ \hline
+ \multicolumn{5}{|c|}{Country} \\
+ \hline
+ geoId & countriesAndTerritories & countryterritoryCode & continentExp & popData2018 \\
+ \hline
+ TEXT & TEXT & TEXT & TEXT & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c| } 
+ \hline
+ \multicolumn{4}{|c|}{Virus Info} \\
+ \hline
+ dateRep & geoId & cases & deaths \\
+ \hline
+ TEXT & TEXT & INTEGER & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+% \begin{center}
+% \begin{tabular}{ |c|c|c|c| } 
+%  \hline
+%  \multicolumn{4}{|c|}{Date} \\
+%  \hline
+%  dateRep & day & month & year \\
+%  \hline
+%  DATE & INTEGER & INTEGER & INTEGER \\
+%  \hline
+% \end{tabular}
+% \end{center}
+
+% \begin{center}
+% \begin{tabular}{ |c|c|c|c| } 
+%  \hline
+%  \multicolumn{4}{|c|}{Virus Info} \\
+%  \hline
+%  dateRep & geoId & cases & deaths \\
+%  \hline
+%  DATE & CHAR(N) & INTEGER & INTEGER \\
+%  \hline
+% \end{tabular}
+% \end{center}
+
+% \begin{center}
+% \begin{tabular}{ |c|c| } 
+%  \hline
+%  \multicolumn{2}{|c|}{Country Code} \\
+%  \hline
+%  geoId & countryterritoryCode\\
+%  \hline
+%  CHAR(n) & CHAR(n) \\
+%  \hline
+% \end{tabular}
+% \end{center}
+
+% \begin{center}
+% \begin{tabular}{ |c|c|c|c| } 
+%  \hline
+%  \multicolumn{4}{|c|}{Country Info} \\
+%  \hline
+%  geoId & countriesAndTerritories & continentExp & popData2018\\
+%  \hline
+%  CHAR(n) & VARCHAR(n) & VARCHAR(n) & BIGINT \\
+%  \hline
+% \end{tabular}
+% \end{center}
+
+Since there are no transitive dependencies, the relations are the same as they were in 2NF.
+
+\vspace{1em}
+
+The primary keys for their respective tables are:
+
+-Date - $dateRep$
+
+-Country - $geoId$
+
+-Virus - $dateRep, geoId$
+
+\vspace{1em}
+
+The foreign keys for their respective tables are:
+
+-Date - None
+
+-Country - None
+
+-Virus - $dateRep$ and $geoId$
+
+% The keys for the respective tables are:
+
+% -Date - $dateRep$
+
+% -Virus Info - $dateRep, geoId$
+
+% -Country Code - $geoId$
+
+% -Country Info - $geoId$
+
+\subsection*{EX9}
+
+The relation is in Boyce-Codd Normal Form (BCNF), BCNF requires for every all dependencies $A \rightarrow B$, $A$ must be a superkey.
+
+For example this is true in Country, $countriesAndTerritories$ determines other attributes, though it is a superkey so it is allowed in BCNF.
+
+\pagebreak
+
+\section*{Modelling}
+
+\subsection*{EX11}
+
+The indexes I have created in their respective tables are:
+
+-Date - Index $dateIndex$ created on $dateRep$
+
+-Virus - Index $dateLocation$ created on $dateRep$ and $geoId$
+
+-Country - Index $locationName$ created on $countriesAndTerritories$ and index $locationId$ created on $geoId$
+
+I chose $dateRep$ as the index for Date as anyone querying the Date table is likely to be doing so using a specific date.
+
+I chose $dateRep$ and $geoId$ to be the indexes for Virus as case and death information is likely to be queried with a time and place.
+
+I chose $countriesAndTerritories$ as an index for Country as country information is likely to be queried with the country name.
+
+I also chose $geoId$ as an index for Country as country information is also likely to be queried using the countries ID.
+
+\section*{Querying}
+
+\subsection*{EX14}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={[2]{}}
+        ]
+SELECT sum(cases) AS "total cases", 
+       sum(deaths) AS "total deaths"
+FROM Virus;
+\end{lstlisting}
+
+\subsection*{EX15}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={INNER, SELECT, FROM, ORDER, BY, WHERE, ON, ASC, DESC, AS, JOIN, GROUP},
+           keywords={[2]{}}
+        ]
+SELECT virus.dateRep AS date,
+       virus.cases AS "number of cases"
+FROM Virus INNER JOIN date ON virus.dateRep = date.dateRep
+WHERE virus.geoId = 'UK'
+ORDER BY date.year, date.month, date.day ASC;
+\end{lstlisting}
+
+\pagebreak
+
+\subsection*{EX16}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={INNER, SELECT, FROM, ORDER, BY, WHERE, ON, ASC, DESC, AS, JOIN, GROUP},
+           keywords={[2]{}}
+        ]
+SELECT country.continentExp AS continent,
+       virus.dateRep AS date,
+       sum(virus.cases) AS "number of cases",
+       sum(virus.deaths) AS "number of deaths"
+FROM Virus
+INNER JOIN country ON virus.geoId = country.geoId
+INNER JOIN date ON virus.dateRep = date.dateRep
+GROUP BY country.continentExp, virus.dateRep
+ORDER BY date.year, date.month, date.day ASC;
+\end{lstlisting}
+
+\subsection*{EX17}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={INNER, SELECT, FROM, ORDER, BY, WHERE, ON, ASC, DESC, AS, JOIN, GROUP},
+           keywords={[2]{}}
+        ]
+SELECT country.countriesAndTerritories AS country,
+       round((sum(virus.cases) * 1.0 / country.popData2018) * 100, 2) AS "% cases of population",
+       round((sum(virus.deaths) * 1.0 / country.popData2018) * 100, 2) AS "% cases of deaths"
+FROM Virus
+INNER JOIN Country ON virus.geoId = country.geoId
+GROUP BY country.countriesAndTerritories, country.popData2018;
+\end{lstlisting}
+
+\subsection*{EX18}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={INNER, SELECT, FROM, ORDER, BY, WHERE, ON, ASC, DESC, AS, JOIN, GROUP, LIMIT},
+           keywords={[2]{}}
+        ]
+SELECT country.countriesAndTerritories AS "country name",
+       round((sum(virus.deaths) * 1.0 / sum(virus.cases)) * 100, 2) AS "% cases of deaths"
+FROM Virus
+INNER JOIN Country ON virus.geoId = country.geoId
+GROUP BY country.countriesAndTerritories, country.popData2018
+ORDER BY "% cases of deaths" DESC
+LIMIT 10;
+\end{lstlisting}
+
+\pagebreak
+
+\subsection*{EX19}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={INNER, SELECT, FROM, ORDER, BY, WHERE, ON, ASC, DESC, AS, JOIN, GROUP, LIMIT},
+           keywords={[2]{}}
+        ]
+SELECT date.dateRep,
+       sum(virus.cases) OVER (
+           ORDER BY date.year, date.month, date.day
+           ROWS BETWEEN
+               UNBOUNDED PRECEDING
+               AND CURRENT ROW
+           ) AS 'cumulative UK cases',
+       sum(virus.deaths) OVER (
+           ORDER BY date.year, date.month, date.day
+           ROWS BETWEEN
+               UNBOUNDED PRECEDING
+               AND CURRENT ROW
+           ) AS 'cumulative UK deaths'
+FROM Date
+INNER JOIN Virus ON date.dateRep = virus.dateRep AND virus.geoId = 'UK'
+ORDER BY date.year, date.month, date.day ASC;
+\end{lstlisting}
+
+
+\end{document}
\ No newline at end of file
diff --git a/report.pdf.pdf b/report.pdf.pdf
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diff --git a/report.tex b/report.tex
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+%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% Problem Set/Assignment Template to be used by the
+%% Food and Resource Economics Department - IFAS
+%% University of Florida's graduates.
+%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% Version 1.0 - November 2019
+%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+%% Ariel Soto-Caro
+%%  - asotocaro@ufl.edu
+%%  - arielsotocaro@gmail.com
+%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+
+\documentclass[12pt]{article}
+\usepackage{design_ASC}
+\usepackage{tikz}
+
+\usepackage[utf8]{inputenc} % Required for inputting international characters
+\usepackage[T1]{fontenc} % Output font encoding for international characters
+\usepackage{stix} % Use the STIX fonts
+
+\setlength\parindent{0pt} %% Do not touch this
+%\setlength\parskip{1em}
+
+
+\begin{document}
+
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Vertical Line Title Page
+% LaTeX Template
+% Version 2.0 (22/7/17)
+%
+% This template was downloaded from:
+% http://www.LaTeXTemplates.com
+%
+% Original author:
+% Peter Wilson (herries.press@earthlink.net) with modifications by:
+% Vel (vel@latextemplates.com)
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\begin{titlepage} % Suppresses displaying the page number on the title page and the subsequent page counts as page 1
+	
+	\raggedleft % Right align the title page
+	
+	\rule{1pt}{\textheight} % Vertical line
+	\hspace{0.05\textwidth} % Whitespace between the vertical line and title page text
+	\parbox[b]{0.75\textwidth}{ % Paragraph box for holding the title page text, adjust the width to move the title page left or right on the page
+		
+		{\Huge\bfseries Database Modelling}\\[2\baselineskip] % Title
+		{\large\textit{COMP1204 - Coursework 2}}\\[4\baselineskip] % Subtitle or further description
+		{\Large\textsc{Isaac Klugman}} % Author name, lower case for consistent small caps
+		
+		\vspace{0.5\textheight} % Whitespace between the title block and the publisher
+		
+		{\noindent Student ID: 30979536}\\[\baselineskip] % Publisher and logo
+		{\noindent Username: ik1g19}\\[\baselineskip] % Publisher and logo
+	}
+
+\end{titlepage}
+
+
+\pagebreak
+
+\section*{The Relational Model}
+
+\subsection*{EX1}
+
+The relations and their relevant data types:
+
+-$dateRep$ - The day, month and year in date format of when the record was collected. TEXT Data type.
+
+-$day$ - The number of the day of the month of which the record was collected. INTEGER Data type.
+
+-$month$ - The number of the month of which the record was collected. INTEGER Data type.
+
+-$year$ - The year of which the record was collected. INTEGER Data type.
+
+-$cases$ - The number of recorded cases on that day. INTEGER Data type.
+
+-$deaths$ - The number of deaths on that day. INTEGER Data type.
+
+-$countriesAndTerritories$ - The name of the country or territory. TEXT Data type.
+
+-$geoId$ - The geographical identifier for that country or territory. TEXT Data type.
+
+-$countryTerritoryCode$ - The code for that country or territory. TEXT Data type.
+
+-$popData2018$ - The population of the country or territory as of 2018. INTEGER Data type.
+
+-$continentExp$ - The name of the country or territory's continent. TEXT Data type.
+
+\subsection*{EX2}
+
+Functional dependencies in the Data Set:
+
+-$dateRep \rightarrow day, month, year$
+
+-$countriesAndTerritories \rightarrow geoId, countryterritoryCode, continentExp, popData2018$
+
+-$geoId \rightarrow countriesAndTerritories, countryterritoryCode, continentExp, popData2018$
+
+\vspace{1em}
+
+Individually, $day, month, year, cases, deaths, countryTerritoryCode$ and $continentExp$ do not functionally determine anything.
+
+In this given data set, $popData2018$ functionally determines $countriesAndTerritories, geoId, continentExp$ and $countryTerritoryCode$. However it is possible that two countries could of had the same population in 2018, if a country was added to this data set with an identical population in 2018 then $popData2018$ would no longer functionally determine any other attributes.
+
+$countryTerritoryCode$ would ordinarily determine $countriesAndTerritories, geoId, continentExp$ and $popData2018$. However in the given data set, there are some instances where $countryTerritoryCode$ is blank, meaning that the code can no longer uniquely determine any other attributes.
+
+\subsection*{EX3}
+
+Potential Candidate keys:
+
+-$dateRep, geoId$
+
+-$dateRep, countriesAndTerritories$
+
+-$dateRep, countryterritoryCode$
+
+\subsection*{EX4}
+
+$dateRep$ and $geoId$ make a suitable composite primary key.
+
+$dateRep$ can uniquely identify a record for each country and $geoId$ is a short string. I am not using $countriesAndTerritories$ as the strings are longer and $countryterritoryCode$ is not present for all countries.
+
+\section*{Normalisation}
+
+\subsection*{EX5}
+
+Existing partial key dependencies:
+
+-$day, month, year \rightarrow dateRep$
+
+-$countriesAndTerritories, countryterritoryCode, continentExp \rightarrow geoId$
+
+\vspace{1em}
+
+To solve this we can divide the original relation into three relations:
+
+-$dateRep, day, month, year$
+
+-$geoId, countriesAndTerritories, countryterritoryCode, continentExp, popData2018$
+
+-$dateRep, geoId, cases, deaths$
+
+\subsection*{EX6}
+
+The three new relations:
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c| } 
+ \hline
+ \multicolumn{4}{|c|}{Date} \\
+ \hline
+ dateRep & day & month & year \\
+ \hline
+ DATE & INTEGER & INTEGER & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c|c| } 
+ \hline
+ \multicolumn{5}{|c|}{Country} \\
+ \hline
+ geoId & countriesAndTerritories & countryterritoryCode & continentExp & popData2018 \\
+ \hline
+ TEXT & TEXT & TEXT & TEXT & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c| } 
+ \hline
+ \multicolumn{4}{|c|}{Virus Info} \\
+ \hline
+ dateRep & geoId & cases & deaths \\
+ \hline
+ TEXT & TEXT & INTEGER & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+The primary keys for their respective tables are:
+
+-Date - $dateRep$
+
+-Country - $geoId$
+
+-Virus - $dateRep, geoId$
+
+\vspace{1em}
+
+The foreign keys for their respective tables are:
+
+-Date - None
+
+-Country - None
+
+-Virus - $dateRep$ and $geoId$
+
+\vspace{1em}
+
+I established any partial key dependencies, $day, month$ and $year$ were dependent on $dateRep$ and not $geoId$, so they were only partially dependent on the key.
+
+$countriesAndTerritories, countryTerritoryCode$ and $continentExp$ were dependent on $geoId$ and not $dateRep$, so they were only partially dependent on the key. I then divided the attributes so that they all depended on the entirety of their respective keys.
+
+\subsection*{EX7}
+
+As the relations currently exist, there are no transitive dependencies.
+
+$countriesAndTerritories$ and $countryterritoryCode$ would be a transitive dependency as\newline
+$geoId \rightarrow countriesAndTerritories$ and $countriesAndTerritories \rightarrow countryterritoryCode$.
+
+But this is not a valid transitive dependency as $countriesAndTerritories \rightarrow geoId$, and for a transitive dependency $A \rightarrow B \rightarrow C$, there cannot exist $B \rightarrow A$.
+
+\subsection*{EX8}
+
+The relations in 3NF:
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c| } 
+ \hline
+ \multicolumn{4}{|c|}{Date} \\
+ \hline
+ dateRep & day & month & year \\
+ \hline
+ DATE & INTEGER & INTEGER & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c|c| } 
+ \hline
+ \multicolumn{5}{|c|}{Country} \\
+ \hline
+ geoId & countriesAndTerritories & countryterritoryCode & continentExp & popData2018 \\
+ \hline
+ TEXT & TEXT & TEXT & TEXT & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+\begin{center}
+\begin{tabular}{ |c|c|c|c| } 
+ \hline
+ \multicolumn{4}{|c|}{Virus Info} \\
+ \hline
+ dateRep & geoId & cases & deaths \\
+ \hline
+ TEXT & TEXT & INTEGER & INTEGER \\
+ \hline
+\end{tabular}
+\end{center}
+
+% \begin{center}
+% \begin{tabular}{ |c|c|c|c| } 
+%  \hline
+%  \multicolumn{4}{|c|}{Date} \\
+%  \hline
+%  dateRep & day & month & year \\
+%  \hline
+%  DATE & INTEGER & INTEGER & INTEGER \\
+%  \hline
+% \end{tabular}
+% \end{center}
+
+% \begin{center}
+% \begin{tabular}{ |c|c|c|c| } 
+%  \hline
+%  \multicolumn{4}{|c|}{Virus Info} \\
+%  \hline
+%  dateRep & geoId & cases & deaths \\
+%  \hline
+%  DATE & CHAR(N) & INTEGER & INTEGER \\
+%  \hline
+% \end{tabular}
+% \end{center}
+
+% \begin{center}
+% \begin{tabular}{ |c|c| } 
+%  \hline
+%  \multicolumn{2}{|c|}{Country Code} \\
+%  \hline
+%  geoId & countryterritoryCode\\
+%  \hline
+%  CHAR(n) & CHAR(n) \\
+%  \hline
+% \end{tabular}
+% \end{center}
+
+% \begin{center}
+% \begin{tabular}{ |c|c|c|c| } 
+%  \hline
+%  \multicolumn{4}{|c|}{Country Info} \\
+%  \hline
+%  geoId & countriesAndTerritories & continentExp & popData2018\\
+%  \hline
+%  CHAR(n) & VARCHAR(n) & VARCHAR(n) & BIGINT \\
+%  \hline
+% \end{tabular}
+% \end{center}
+
+Since there are no transitive dependencies, the relations are the same as they were in 2NF.
+
+\vspace{1em}
+
+The primary keys for their respective tables are:
+
+-Date - $dateRep$
+
+-Country - $geoId$
+
+-Virus - $dateRep, geoId$
+
+\vspace{1em}
+
+The foreign keys for their respective tables are:
+
+-Date - None
+
+-Country - None
+
+-Virus - $dateRep$ and $geoId$
+
+% The keys for the respective tables are:
+
+% -Date - $dateRep$
+
+% -Virus Info - $dateRep, geoId$
+
+% -Country Code - $geoId$
+
+% -Country Info - $geoId$
+
+\subsection*{EX9}
+
+The relation is in Boyce-Codd Normal Form (BCNF), BCNF requires for every all dependencies $A \rightarrow B$, $A$ must be a superkey.
+
+For example this is true in Country, $countriesAndTerritories$ determines other attributes, though it is a superkey so it is allowed in BCNF.
+
+\pagebreak
+
+\section*{Modelling}
+
+\subsection*{EX11}
+
+The indexes I have created in their respective tables are:
+
+-Date - Index $dateIndex$ created on $dateRep$
+
+-Virus - Index $dateLocation$ created on $dateRep$ and $geoId$
+
+-Country - Index $locationName$ created on $countriesAndTerritories$ and index $locationId$ created on $geoId$
+
+I chose $dateRep$ as the index for Date as anyone querying the Date table is likely to be doing so using a specific date.
+
+I chose $dateRep$ and $geoId$ to be the indexes for Virus as case and death information is likely to be queried with a time and place.
+
+I chose $countriesAndTerritories$ as an index for Country as country information is likely to be queried with the country name.
+
+I also chose $geoId$ as an index for Country as country information is also likely to be queried using the countries ID.
+
+\section*{Querying}
+
+\subsection*{EX14}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={[2]{}}
+        ]
+SELECT sum(cases) AS "total cases", 
+       sum(deaths) AS "total deaths"
+FROM Virus;
+\end{lstlisting}
+
+\subsection*{EX15}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={INNER, SELECT, FROM, ORDER, BY, WHERE, ON, ASC, DESC, AS, JOIN, GROUP},
+           keywords={[2]{}}
+        ]
+SELECT virus.dateRep AS date,
+       virus.cases AS "number of cases"
+FROM Virus INNER JOIN date ON virus.dateRep = date.dateRep
+WHERE virus.geoId = 'UK'
+ORDER BY date.year, date.month, date.day ASC;
+\end{lstlisting}
+
+\pagebreak
+
+\subsection*{EX16}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={INNER, SELECT, FROM, ORDER, BY, WHERE, ON, ASC, DESC, AS, JOIN, GROUP},
+           keywords={[2]{}}
+        ]
+SELECT country.continentExp AS continent,
+       virus.dateRep AS date,
+       sum(virus.cases) AS "number of cases",
+       sum(virus.deaths) AS "number of deaths"
+FROM Virus
+INNER JOIN country ON virus.geoId = country.geoId
+INNER JOIN date ON virus.dateRep = date.dateRep
+GROUP BY country.continentExp, virus.dateRep
+ORDER BY date.year, date.month, date.day ASC;
+\end{lstlisting}
+
+\subsection*{EX17}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={INNER, SELECT, FROM, ORDER, BY, WHERE, ON, ASC, DESC, AS, JOIN, GROUP},
+           keywords={[2]{}}
+        ]
+SELECT country.countriesAndTerritories AS country,
+       round((sum(virus.cases) * 1.0 / country.popData2018) * 100, 2) AS "% cases of population",
+       round((sum(virus.deaths) * 1.0 / country.popData2018) * 100, 2) AS "% cases of deaths"
+FROM Virus
+INNER JOIN Country ON virus.geoId = country.geoId
+GROUP BY country.countriesAndTerritories, country.popData2018;
+\end{lstlisting}
+
+\subsection*{EX18}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={INNER, SELECT, FROM, ORDER, BY, WHERE, ON, ASC, DESC, AS, JOIN, GROUP, LIMIT},
+           keywords={[2]{}}
+        ]
+SELECT country.countriesAndTerritories AS "country name",
+       round((sum(virus.deaths) * 1.0 / sum(virus.cases)) * 100, 2) AS "% cases of deaths"
+FROM Virus
+INNER JOIN Country ON virus.geoId = country.geoId
+GROUP BY country.countriesAndTerritories, country.popData2018
+ORDER BY "% cases of deaths" DESC
+LIMIT 10;
+\end{lstlisting}
+
+\pagebreak
+
+\subsection*{EX19}
+
+\begin{lstlisting}[
+           language=SQL,
+           showspaces=false,
+           basicstyle=\ttfamily,
+           numbers=left,
+           numberstyle=\tiny,
+           commentstyle=\color{gray},
+           keywords={INNER, SELECT, FROM, ORDER, BY, WHERE, ON, ASC, DESC, AS, JOIN, GROUP, LIMIT},
+           keywords={[2]{}}
+        ]
+SELECT date.dateRep,
+       sum(virus.cases) OVER (
+           ORDER BY date.year, date.month, date.day
+           ROWS BETWEEN
+               UNBOUNDED PRECEDING
+               AND CURRENT ROW
+           ) AS 'cumulative UK cases',
+       sum(virus.deaths) OVER (
+           ORDER BY date.year, date.month, date.day
+           ROWS BETWEEN
+               UNBOUNDED PRECEDING
+               AND CURRENT ROW
+           ) AS 'cumulative UK deaths'
+FROM Date
+INNER JOIN Virus ON date.dateRep = virus.dateRep AND virus.geoId = 'UK'
+ORDER BY date.year, date.month, date.day ASC;
+\end{lstlisting}
+
+
+\end{document}
\ No newline at end of file
-- 
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