diff --git a/queries.md b/queries.md
index c1ab2c4..121df51 100644
--- a/queries.md
+++ b/queries.md
@@ -3,76 +3,168 @@
 
 ### 1. All the companies whose name match 'Babelgum'. Retrieve only their `name` field.
 
-<!-- Your Code Goes Here -->
+query: {name: "Babelgum"}
+projection: {name: 1, _id: 0}
+sort:
+skip:
+limit: 
 
 ### 2. All the companies that have more than 5000 employees. Limit the search to 20 companies and sort them by **number of employees**.
 
-<!-- Your Code Goes Here -->
+query: {number_of_employees: {$gt: 5000}}
+projection: 
+sort: {number_of_employees: 1}
+skip:
+limit: 20
 
 ### 3. All the companies founded between 2000 and 2005, both years included. Retrieve only the `name` and `founded_year` fields.
 
-<!-- Your Code Goes Here -->
+query: {$and: [{founded_year: {$gte: 2000}}, {founded_year: {$lte: 2005}}]}
+projection: {name: 1, founded_year: 1, _id: 0}
+sort:
+skip:
+limit:
 
 ### 4. All the companies that had a Valuation Amount of more than 100.000.000 and have been founded before 2010. Retrieve only the `name` and `ipo` fields.
 
-<!-- Your Code Goes Here -->
+query: {$and: [{valuation_amount: {$gt: 100000000}}, {founded_year: {$lt: 2010}}]}
+projection: {name: 1, ipo: 1, _id: 0}
+sort:
+skip:
+limit:
 
 ### 5. All the companies that have less than 1000 employees and have been founded before 2005. Order them by the number of employees and limit the search to 10 companies.
 
-<!-- Your Code Goes Here -->
+query: {$and: [{number_of_employees: {$lt: 1000}}, {founded_year: {$lt: 2005}}]}
+projection: 
+sort: {number_of_employees: -1}
+skip:
+limit: 10
 
 ### 6. All the companies that don't include the `partners` field.
 
-<!-- Your Code Goes Here -->
+query: {partners: {$exists: false}}
+projection: 
+sort:
+skip:
+limit:
 
 ### 7. All the companies that have a null type of value on the `category_code` field.
 
-<!-- Your Code Goes Here -->
+query: {category_code: null}
+projection: 
+sort:
+skip:
+limit:
 
 ### 8. All the companies that have at least 100 employees but less than 1000. Retrieve only the `name` and `number of employees` fields.
 
-<!-- Your Code Goes Here -->
+query: {$and: [{number_of_employees: {$gte: 100}}, {number_of_employees: {$lt: 1000}}]}
+projection: {name: 1, number_of_employees: 1, _id: 0}
+sort:
+skip:
+limit:
 
 ### 9. Order all the companies by their IPO price in a descending order.
 
-<!-- Your Code Goes Here -->
+query: 
+projection: 
+sort:
+skip:
+limit:
 
 ### 10. Retrieve the 10 companies with most employees, order by the `number of employees`
 
-<!-- Your Code Goes Here -->
+query: 
+projection: 
+sort: {number_of_employees: -1}
+skip:
+limit: 10
 
 ### 11. All the companies founded on the second semester of the year. Limit your search to 1000 companies.
 
-<!-- Your Code Goes Here -->
+query: {$and: [{founded_month: {$gt: 6}}, {founded_month: {$lte: 12}}]}
+projection: 
+sort: 
+skip: 
+limit: 1000
 
 ### 12. All the companies founded before 2000 that have an acquisition amount of more than 10.000.000
 
-<!-- Your Code Goes Here -->
+query: {$and: [{founded_year: {$lt: 2000}}, {"acquisitions.price_amount": {$gt: 10000000}}]}
+projection: 
+sort: 
+skip: 
+limit: 
 
 ### 13. All the companies that have been acquired after 2010, order by the acquisition amount, and retrieve only their `name` and `acquisition` field.
 
-<!-- Your Code Goes Here -->
+query: {acquired_year: {$gt: 2010}}
+projection: {name: 1, acquisition: 1, _id: 0}
+sort: {price_amount: -1}
+skip: 
+limit: 
 
 ### 14. Order the companies by their `founded year`, retrieving only their `name` and `founded year`.
 
-<!-- Your Code Goes Here -->
+query: 
+projection: {name: 1, founded_year: 1, _id: 0}
+sort: {founded_year: 1}
+skip: 
+limit: 
 
 ### 15. All the companies that have been founded on the first seven days of the month, including the seventh. Sort them by their `acquisition price` in a descending order. Limit the search to 10 documents.
 
-<!-- Your Code Goes Here -->
+query: {$and: [
+    {founded_day: {$gte: 1}}, 
+    {founded_day: {$lte: 7}}
+    ]}
+projection: 
+sort: {"acquisition.price_amount": -1}
+skip: 
+limit: 10
 
 ### 16. All the companies on the 'web' `category` that have more than 4000 employees. Sort them by the amount of employees in ascending order.
 
-<!-- Your Code Goes Here -->
+query: {$and: [
+    {category_code: "web"},
+    {number_of_employees: {$gt: 4000}}
+]}
+projection: 
+sort: {number_of_employees: 1}
+skip: 
+limit: 
 
 ### 17. All the companies whose acquisition amount is more than 10.000.000, and currency is 'EUR'.
 
-<!-- Your Code Goes Here -->
+query: {$and: [
+    {"acquisition.price_amount": {$gt: 10000000}},
+    {"acquisition.price_currency_code": "EUR"}
+]}
+projection: {name: 1, acquisition: 1}
+sort: 
+skip: 
+limit: 
 
 ### 18. All the companies that have been acquired on the first trimester of the year. Limit the search to 10 companies, and retrieve only their `name` and `acquisition` fields.
 
-<!-- Your Code Goes Here -->
+query: {$and: [
+    {"acquisition.acquired_month": {$gte: 1}},
+    {"acquisition.acquired_month": {$lte: 4}}
+]}
+projection: {name: 1, acquisition: 1, _id: 0}
+sort: 
+skip: 
+limit: 10
 
 ### 19. All the companies that have been founded between 2000 and 2010, but have not been acquired before 2011.
 
-<!-- Your Code Goes Here -->
+query: {$and: [
+    {founded_year: {$gt: 2000}},
+    {founded_year: {$lt: 2010}},
+    {"acquisition.acquired_year": {$gte: 2011}}
+]}
+projection: 
+sort: 
+skip: 
+limit: