diff --git a/queries.js b/queries.js
index 99f09c5..a33d862 100644
--- a/queries.js
+++ b/queries.js
@@ -4,4 +4,137 @@ 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 employee with whose name is Steve
+db.employees.find( { "name": "Steve" } )
+
+//Find all employees whose age is greater than 30.
+
+db.employees.find({ "age": {$gt: 30}})
+
+//Find the employee whose extension is 2143.
+
+db.employees.find({"phone.ext": "2143" })
+
+//Find all employees that are over 30.
+
+db.employees.find({ "age": {$: 30}})
+
+//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": "Willy"}, { $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.restaurants.find()
+
+//Find all the restaurants and display only the fields restaurant_id, name, borough and cuisine.
+
+db.restaurants.find( {}, { _id: 1, name: 1, borough: 1, cuisine: 1 })
+
+
+//Find all the restaurants and display only the fields restaurant_id, name, borough and zip code.
+
+db.restaurants.find( {}, { _id: 1, name: 1, borough: 1, "adress.zipcode": 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( { $and: [ { "borough": "Brooklyn" }, { "cuisine": "Steak" } ] } )
+
+////Find the restauran ts which have achieved a score bigger than 90.
+
+db.restaurants.find( { $and: [ { "borough": "Brooklyn" }, { "cuisine": "Steak" } ] } )
+
+////Find the restauran ts that do not prepare any Bakery cuisine and with a grade score equal or bigger than 70.
+
+db.restaurants.find( { $and: [ { "cuisine": { $ne: "Bakery" } }, { "grades.score": {$gt: 70} } ] } )
+
+////Find the restauran ts 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( { $and: [ { "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"}, { $set: { "adress.street": "Calle falsa 123"}})
+
+//Delete all the restaurants with address zipcode 10466.
+
+db.restaurants.deleteMany( { "address.zipcode": "10466" })
+
+//Find all the companies that include 'Facebook' on the name field.
+
+db.companies.find( { "name": {$in: ["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" }, { _id: 0, name: 1, category_code: 1, founded_year: 1})
+
+//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( { $and: [ { "category_code": "enterprise" }, { "founded_year": 2005 }]}, { _id: 0, name: 1, category_code: 1, founded_year: 1})
+
+//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: [{ "number_of_employees": 20 }, { "founded_year": 2000 } ]}).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( { $nor: [{ "category_code": "web" }, { "category_code": "social" }]}, { _id: 0, name: 1, category_code: 1}).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} }, { _id: 0, name: 1, founded_month: 1} ).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 }, { $nor: [ { "number_of_employees": 50 }, { "category_code": "web" } ] } ] }, { _id: 0, founded_day: 1, name: 1 } ).limit(5)
+
+//Find all the companies which the price_amount of the acquisition was 40.000.000. Sort them by name.
+
+db.companies.find({"acquisition.price_amount": 40000000}).sort("name")
+
+//Find all the companies that have been acquired on January of 2014. Retrieve only the acquisition and name fields.
+
+db.companies.find({$and: [{"acquired_month": 1},{"acquired_year": 2014}]}, {_id: 0, acquisition: 1, name: 1})
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