diff --git a/Task 1/ER.mwb b/Task 1/ER.mwb
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diff --git a/Task 1/ER.mwb.bak b/Task 1/ER.mwb.bak
deleted file mode 100644
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diff --git a/Task 1/Table_setup.sql b/Task 1/Table_setup.sql
deleted file mode 100644
index ce9c9f0ff940a87f4931ed28833ecca4f6703040..0000000000000000000000000000000000000000
--- a/Task 1/Table_setup.sql
+++ /dev/null
@@ -1,33 +0,0 @@
-CREATE TABLE person (
- PersonID INT PRIMARY KEY,
- Name VARCHAR(255) NOT NULL,
- Email VARCHAR(255) UNIQUE NOT NULL,
- DOB DATE NOT NULL
-);
-
-CREATE TABLE address (
- AddressID INT PRIMARY KEY,
- PersonID INT,
- Street VARCHAR(255) NOT NULL,
- City VARCHAR(100) NOT NULL,
- Country VARCHAR(100) NOT NULL,
- ZipCode VARCHAR(20) NOT NULL,
- FOREIGN KEY (PersonID) REFERENCES person(PersonID) ON DELETE CASCADE
-);
-
-CREATE TABLE favorites (
- FavoriteID INT PRIMARY KEY,
- PersonID INT,
- FavoriteBook VARCHAR(255),
- FavoriteDrink VARCHAR(255),
- FavoriteActivity VARCHAR(255),
- FOREIGN KEY (PersonID) REFERENCES person(PersonID) ON DELETE CASCADE
-);
-
-CREATE TABLE neighbour (
- NeighbourID INT PRIMARY KEY,
- PersonID INT,
- NeighbourName VARCHAR(255),
- NeighbourEmail VARCHAR(255),
- FOREIGN KEY (PersonID) REFERENCES person(PersonID) ON DELETE CASCADE
-);
diff --git a/Task 1/adress_import.sql b/Task 1/adress_import.sql
deleted file mode 100644
index 59d861e0da8da3b7706ec972a56be22997f02947..0000000000000000000000000000000000000000
--- a/Task 1/adress_import.sql
+++ /dev/null
@@ -1,12 +0,0 @@
-LOAD DATA INFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/Assessment2425DataCaseScenario.csv'
-INTO TABLE Address
-FIELDS TERMINATED BY ','
-LINES TERMINATED BY '\r\n'
-IGNORE 1 ROWS
-(@dummy1, @dummy2, @dummy3, @Street, @City, @Country, @ZipCode, @dummy4, @dummy5, @dummy6, @dummy7, @dummy8, @dummy9, @dummy10)
-SET
- PersonID = (SELECT PersonID FROM Person WHERE Email = @dummy2),
- Street = @Street,
- City = @City,
- Country = @Country,
- ZipCode = @ZipCode;
diff --git a/Task 1/favourite_import.sql b/Task 1/favourite_import.sql
deleted file mode 100644
index dea045ba135238fe708136757dacd998a0fd5d33..0000000000000000000000000000000000000000
--- a/Task 1/favourite_import.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-LOAD DATA INFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/Assessment2425DataCaseScenario.csv'
-INTO TABLE Favorites
-FIELDS TERMINATED BY ','
-LINES TERMINATED BY '\r\n'
-IGNORE 1 ROWS
-(@dummy1, @dummy2, @dummy3, @dummy4, @dummy5, @dummy6, @dummy7, @FavoriteBook, @FavoriteDrink, @FavoriteActivity, @dummy8, @dummy9, @dummy10, @dummy11)
-SET
- PersonID = (SELECT PersonID FROM Person WHERE Email = @dummy2),
- FavoriteBook = @FavoriteBook,
- FavoriteDrink = @FavoriteDrink,
- FavoriteActivity = @FavoriteActivity;
diff --git a/Task 1/initial_setup.sql b/Task 1/initial_setup.sql
deleted file mode 100644
index 999b87f8152d508c10ed6e818a0982b08b130c1e..0000000000000000000000000000000000000000
--- a/Task 1/initial_setup.sql
+++ /dev/null
@@ -1,2 +0,0 @@
-CREATE DATABASE PeopleDB;
-USE PeopleDB;
\ No newline at end of file
diff --git a/Task 1/neighbour2_import.sql b/Task 1/neighbour2_import.sql
deleted file mode 100644
index 6573c29d4070366fcd73d63612671ed75eff8739..0000000000000000000000000000000000000000
--- a/Task 1/neighbour2_import.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-LOAD DATA INFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/Assessment2425DataCaseScenario.csv'
-INTO TABLE Neighbour
-FIELDS TERMINATED BY ','
-LINES TERMINATED BY '\r\n'
-IGNORE 1 ROWS
-(@dummy1, @dummy2, @dummy3, @du
-mmy4, @dummy5, @dummy6, @dummy7, @dummy8, @dummy9, @dummy10, @Neighbour1, @Neighbour1Email, @Neighbour2, @Neighbour2Email)
-SET
- PersonID = (SELECT PersonID FROM Person WHERE Email = @dummy2),
- NeighbourName = @Neighbour2,
- NeighbourEmail = @Neighbour2Email;
diff --git a/Task 1/neighbour_import.sql b/Task 1/neighbour_import.sql
deleted file mode 100644
index a2732929fba2009803252dc4f7672ba1112d0922..0000000000000000000000000000000000000000
--- a/Task 1/neighbour_import.sql
+++ /dev/null
@@ -1,10 +0,0 @@
-LOAD DATA INFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/Assessment2425DataCaseScenario.csv'
-INTO TABLE Neighbour
-FIELDS TERMINATED BY ','
-LINES TERMINATED BY '\r\n'
-IGNORE 1 ROWS
-(@dummy1, @dummy2, @dummy3, @dummy4, @dummy5, @dummy6, @dummy7, @dummy8, @dummy9, @dummy10, @Neighbour1, @Neighbour1Email, @Neighbour2, @Neighbour2Email)
-SET
- PersonID = (SELECT PersonID FROM Person WHERE Email = @dummy2),
- NeighbourName = @Neighbour1,
- NeighbourEmail = @Neighbour1Email;
diff --git a/Task 1/person_import.sql b/Task 1/person_import.sql
deleted file mode 100644
index cc861cc1b167bfd12561c26264d8980aaa9ea2a5..0000000000000000000000000000000000000000
--- a/Task 1/person_import.sql
+++ /dev/null
@@ -1,9 +0,0 @@
-LOAD DATA INFILE 'C:/ProgramData/MySQL/MySQL Server 8.0/Uploads/Assessment2425DataCaseScenario.csv'
-INTO TABLE Person
-FIELDS TERMINATED BY ','
-LINES TERMINATED BY '\r\n'
-IGNORE 1 ROWS
-(@Name, Email, @DOB, @dummy1, @dummy2, @dummy3, @dummy4, @dummy5, @dummy6, @dummy7, @dummy8, @dummy9, @dummy10, @dummy11)
-SET
- PersonID = CAST(SUBSTRING_INDEX(@Name, ' ', -1) AS UNSIGNED), -- Extracts numeric ID
- DOB = STR_TO_DATE(@DOB, '%m/%d/%Y');
diff --git a/Task 2/insert_data.py b/Task 2/insert_data.py
deleted file mode 100644
index b6e4cb4866829de2e49914c3463d3c675d191fae..0000000000000000000000000000000000000000
--- a/Task 2/insert_data.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import pandas as pd
-from setup import collection
-
-# Load the Excel file (update the filename if needed)
-file_path = "Assessment2425DataCaseScenario.xlsx" # Change to the correct file path
-df = pd.read_excel(file_path)
-
-# Convert Excel data to a format suitable for MongoDB
-persons_data = []
-for _, row in df.iterrows():
- person = {
- "name": row["Name"],
- "email": row["Email"],
- "dob": row["DOB"],
- "address": {
- "street": row["Street"],
- "city": row["City"],
- "country": row["Country"],
- "zip_code": str(row["Zip Code"]) # Convert zip code to string to prevent issues
- },
- "favourites": {
- "book": row["Favorite Book"],
- "drink": row["Favorite Drink"],
- "activity": row["Favorite Activity"]
- },
- "neighbours": [
- {"name": row["Neighbour 1"], "email": row["Neighbour1Email"]} if pd.notna(row["Neighbour 1"]) else None,
- {"name": row["Neighbour 2"], "email": row["Neighbour2Email"]} if pd.notna(row["Neighbour 2"]) else None
- ]
- }
-
- # Remove None values (if no neighbour exists)
- person["neighbours"] = [n for n in person["neighbours"] if n is not None]
-
- persons_data.append(person)
-
-# Insert data into MongoDB
-collection.insert_many(persons_data)
-print("Excel data inserted into MongoDB successfully!")
diff --git a/Task 2/queries.py b/Task 2/queries.py
deleted file mode 100644
index 3852cedc2a5c8cc966eb904f45bcaeb4606ab589..0000000000000000000000000000000000000000
--- a/Task 2/queries.py
+++ /dev/null
@@ -1,61 +0,0 @@
-from setup import collection
-from datetime import datetime
-
-# Function to calculate age from DOB
-def calculate_age(dob):
- if isinstance(dob, str): # If dob is a string, convert it
- dob = datetime.strptime(dob, "%Y-%m-%d") # Adjust format if needed
-
- birth_year = dob.year # Extract year directly
- current_year = datetime.now().year
- return current_year - birth_year
-
-### 1️⃣ Display Person's Name and Age
-print("\n--- Persons and Their Age ---")
-for person in collection.find({}, {"name": 1, "dob": 1}):
- age = calculate_age(person["dob"])
- print(f"Name: {person['name']}, Age: {age}")
-
-### 2️⃣ Group Persons by Their Favourite Drink and Return Average Age
-print("\n--- Average Age by Favourite Drink ---")
-pipeline = [
- {
- "$group": {
- "_id": "$favourites.drink",
- "average_age": {"$avg": {"$subtract": [datetime.now().year, {"$toInt": {"$substr": ["$dob", 0, 4]}}]}}
- }
- }
-]
-results = collection.aggregate(pipeline)
-for res in results:
- print(f"Drink: {res['_id']}, Average Age: {res['average_age']}")
-
-### 3️⃣ Display Average Age of People Who Like Hiking
-print("\n--- Average Age of People Who Like Hiking ---")
-pipeline = [
- {"$match": {"favourites.activity": "Hiking"}},
- {
- "$group": {
- "_id": None,
- "average_age": {"$avg": {"$subtract": [datetime.now().year, {"$toInt": {"$substr": ["$dob", 0, 4]}}]}}
- }
- }
-]
-result = list(collection.aggregate(pipeline))
-print(f"Average age of people who like Hiking: {result[0]['average_age']}")
-
-### 4️⃣ Display Total Number of People from Each City
-print("\n--- Total Number of People per City ---")
-pipeline = [
- {"$group": {"_id": "$address.city", "total_people": {"$sum": 1}}},
- {"$sort": {"total_people": 1}}
-]
-results = collection.aggregate(pipeline)
-for res in results:
- print(f"City: {res['_id']}, Total People: {res['total_people']}")
-
-### 5️⃣ Display Name of Person(s) Whose Neighbour is 'Neighbour C'
-print("\n--- People Whose Neighbour is 'Neighbour C' ---")
-results = collection.find({"neighbours.name": "Neighbor C"}, {"name": 1, "_id": 0})
-for person in results:
- print(person["name"])
diff --git a/Task 2/setup.py b/Task 2/setup.py
deleted file mode 100644
index 3fedda2731729577e67b2e18192aeb921db22944..0000000000000000000000000000000000000000
--- a/Task 2/setup.py
+++ /dev/null
@@ -1,10 +0,0 @@
-from pymongo import MongoClient
-
-# Connect to MongoDB
-client = MongoClient("mongodb://localhost:27017/")
-
-# Create the database and collection
-db = client["task2_nosql"]
-collection = db["persons"]
-
-print("MongoDB connection successful!")