diff --git a/queries.js b/queries.js
index 99f09c5..f37b80e 100644
--- a/queries.js
+++ b/queries.js
@@ -4,4 +4,101 @@ print('Employees')
 
 // List all the employees.
 print('1. List all Employees')
-db.employees.find({}).forEach(printjsononeline)
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+db.employees.find({}).forEach(printjsononeline)
+
+//Find the employee with whose name is Steve.
+db.employees.find({ name: "Steve" })
+
+//Find all employees whose age is greater than 30.
+db.employees.find({ age: { $gt: 30 } })
+
+//Find the employee whose extension is 2143.
+db.employees.find({ "phone.ext": "2143" })
+
+//Find all employees that are less than or equal to 30.
+db.employees.find({ age: { $lte: 30 } })
+
+//Find all the employees whose favorite food is pizza.
+db.employees.find({ "favorites.food": "pizza" })
+
+//Change Willy’s personal phone number to "93-123-45-67".
+db.employees.updateOne({ name: 'Martin' }, { $set: { 'phone.personal': "93-123-45-67" } })
+
+//Change Bob’s privilege to normal user.
+db.employees.updateOne({ name: 'Bob' }, { $set: { 'privileges': "user" } })
+
+//Find all employees whose favorite artist is equal to Picasso.
+db.employees.find({ "favorites.artist": "Picasso" })
+
+//Delete the user John.
+db.employees.deleteOne({ name: "John" })
+
+/* ------------ */
+
+//List all the restaurants.
+db.employees.find()
+
+//Find all the restaurants and display only the fields restaurant_id, name, borough and cuisine.
+db.restaurants.find({}, { restaurant_id: 1, name: 1, borough: 1, cuisine: 1 })
+
+//Find the restaurants which are in the borough Bronx.
+db.restaurants.find({ borough: "Bronx" })
+
+//Find the restaurants which are in the borough Brooklyn with Steak cuisine.
+db.restaurants.find({ borough: "Brooklyn" }, { cuisine: "Steak" })
+
+//Find the restaurants which have achieved a score bigger than 90.
+db.restaurants.find({ "grades.score": { $gt: 90 } })
+
+//Find the restaurants that do not prepare any Bakery cuisine and with a grade score equal or bigger than 70.
+db.restaurants.find({ cuisine: { $ne: "Bakery" }, "grades.score": { $gte: 70 } })
+
+//Find the restaurants which do not prepare any Chinese cuisine and have achieved a grade point A which do not belong to the borough Manhattan.
+db.restaurants.find({ cuisine: { $ne: "Chinese" }, "grades.grade": "A", borough: { $ne: "Manhattan" } })
+
+//Update restaurants with 'American ' cuisine to 'American' (without the space!!!)
+db.restaurants.updateMany({ cuisine: "American " }, { $set: { cuisine: "American" } })
+
+//Update Morris Park Bake Shop address street to Calle falsa 123.
+db.restaurants.updateOne({ name: "Morris Park Bake Shop" }, { $set: { "address.street": "Calle falsa 123" } })
+
+//Delete all the restaurants with address zipcode 10466.
+db.employees.deleteMany({ "address.zipcode": "10466" })
+
+/* ------------ */
+
+//Find all the companies that include 'Facebook' on the name field.
+db.companies.find({ "name": "Facebook" })
+
+//Find all the companies which category_code is 'web'. Retrive only their name field:
+db.companies.find({ "category_code": "web" }, { "name": 1, "_id": 0 })
+
+//Find all the companies named "Twitter", and retrieve only their name, category_code and founded_year fields.
+db.companies.find({ name: "Twitter" }, { "name": 1, "category_code": 1, "founded_year": 1, "_id": 0 })
+
+//Find all the companies who have web as their category_code, but limit the search to 50 companies.
+db.companies.find({ "category_code": "web" }).limit(50)
+
+//Find all the companies which category_code is 'enterprise' and have been founded in 2005. Retrieve only the name, category_code and founded_year fields.
+db.companies.find({ "category_code": "enterprise", "founded_year": 2005 }, { "name": 1, "category_code": 1, "founded_year": 1, "_id": 0 })
+
+//Find all the companies that have been founded on the 2000 or have 20 employees. Sort them descendingly by their number_of_employees.
+db.companies.find({ $or: [{ "founded_year": 2000 }, { "number_of_employees": 20 }] }).sort({ "number_of_employees": -1 })
+
+//Find all the companies that do not include web nor social on their category_code. Limit the search to 20 documents and retrieve only their name and category_code.
+db.companies.find({ $and: [{ "category_code": { $ne: "web" } }, { "category_code": { $ne: "social" } }] }, { "name": 1, "category_code": 1, "_id": 0 }).limit(20)
+
+//Find all the companies that were not founded on 'June'. Skip the first 50 results and retrieve only the founded_month and name fields.
+db.companies.find({ "founded_month": { $ne: 6 } }, { "name": 1, "founded_month": 1, "_id": 0 }).skip(50)
+
+//Find all the companies that have 50 employees, but do not correspond to the 'web' category_code.
+db.companies.find({ $and: [{ "number_of_employees": 50, "category_code": { $ne: "web" } }] })
+
+//Find all the companies that have been founded on the 1st of the month, but does not have either 50 employees nor 'web' as their category_code. Retrieve only the founded_day and name and limit the search to 5 documents.
+db.companies.find({ $and: [{ "founded_day": 1 }, { "number_of_employees": { $lt: 50 } }, { "category_code": { $ne: "web" } }] }, { "name": 1, "category_code": 1, "_id": 0 }).limit(5)
+
+//Find all the companies which the price_amount of the acquisition was 40.000.000. Sort them by name.
+db.companies.find({ "acquisition.price_amount": 40000000 }).sort({ "name": 1 })
+
+//Find all the companies that have been acquired on January of 2014. Retrieve only the acquisition and name fields.
+db.companies.find({ $and: [{ "acquisition.acquired_month": 1 }, { "acquisition.acquired_year": 2014 }] }, { "name": 1, "acquisition": 1, "_id": 0 }) 
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