Fixing minor Typos

thecoddiwompler · thecoddiwompler · commit 02fec563b54d · 2024-01-02T21:43:30.000+05:30
diff --git a/Capital Gain-Loss/READme.md b/Capital Gain-Loss/READme.md
@@ -26,7 +26,7 @@ Each row of this table indicates that the stock which has stock_name had an oper
 It is guaranteed that each 'Sell' operation for a stock has a corresponding 'Buy' operation in a previous day. It is also guaranteed that each 'Buy' operation for a stock has a corresponding 'Sell' operation in an upcoming day.
 <br/>
 </br>
-<b>Write an SQL query to report the Capital gain/loss for each stock.</b>
+<b>Write a SQL query to report the Capital gain/loss for each stock.</b>
 </br>
 <br/>
 The Capital gain/loss of a stock is the total gain or loss after buying and selling the stock one or many times.<br/>
diff --git a/Confirmation Rate/READme.md b/Confirmation Rate/READme.md
@@ -37,7 +37,7 @@ Each row of this table indicates that the user with ID user_id requested a confi
 The confirmation rate of a user is the number of 'confirmed' messages divided by the total number of requested confirmation messages. The confirmation rate of a user that did not request any confirmation messages is 0. Round the confirmation rate to two decimal places.
 </br>
 </br>
-Write an SQL query to find the confirmation rate of each user.
+Write a SQL query to find the confirmation rate of each user.
 </br>
 Return the result table in any order.
 </br>
diff --git a/Consecutive Numbers/READme.md b/Consecutive Numbers/READme.md
@@ -19,7 +19,7 @@
 id is an autoincrement column.  </b>
 </br>
 
-Write an SQL query to find all numbers that appear at least three times consecutively.  
+Write a SQL query to find all numbers that appear at least three times consecutively.  
 
 Return the result table in any order.  
 
diff --git a/Cricket Runs/READme.md b/Cricket Runs/READme.md
@@ -22,7 +22,7 @@
 
 In an ODI cricket match, you have a dataset representing deliveries during the match. The dataset contains three columns: ball_no (delivery number in the match), runs (runs scored on that delivery), and delivery_type (type of delivery: legal, nb for no ball, or wd for wide).
 
-Write an SQL query to find the runs scored in every over.  
+Write a SQL query to find the runs scored in every over.  
 
 There are a few special conditions to consider:
 
diff --git a/Customer Acquisition/READme.md b/Customer Acquisition/READme.md
@@ -21,7 +21,7 @@
 <b>order_date, customer is the primary key for this table. </br>
 </b>
 
-Write an SQL query to find the count of new customers added in each Month.  
+Write a SQL query to find the count of new customers added in each Month.  
 
 Return the result table in any order.  
 
diff --git a/Customers Who Bought All Products/READme.md b/Customers Who Bought All Products/READme.md
@@ -28,7 +28,7 @@ product_key is a foreign key to Product table.
 
 <b> product_key is the primary key column for this table. </b><br/>
 </br>
-Write an SQL query to report the customer ids from the Customer table that bought all the products in the Product table.
+Write a SQL query to report the customer ids from the Customer table that bought all the products in the Product table.
 </br>
 Return the result table in any order.
 </br>
diff --git a/Department Top 3 Salary/READme.md b/Department Top 3 Salary/READme.md
@@ -36,7 +36,7 @@
 A company's executives are interested in seeing who earns the most money in each of the company's departments. A high earner in a department is an employee who has a salary in the top three unique salaries for that department.  
 </br>
 </br>
-<b>Write an SQL query to find the employees who are high earners in each of the departments.  </b>
+<b>Write a SQL query to find the employees who are high earners in each of the departments.  </b>
 </br>
 </br>
 Return the result table in any order.
diff --git a/Employees Check-in Details/READme.md b/Employees Check-in Details/READme.md
@@ -38,7 +38,7 @@ isdefault is of Boolean type.<br/>
 Each row of this table gives the information about phone numbers of the employees and whether they are default phone numbers or not </br>
 </br>
 </br>
-Write an SQL query to find the default the phone number, total entry count, total login and logout count, and latest login and logout time for each employees like given below.
+Write a SQL query to find the default the phone number, total entry count, total login and logout count, and latest login and logout time for each employees like given below.
 </br>
 Return the result table in any order.
 </br>
diff --git a/Exchange Seats/READme.md b/Exchange Seats/READme.md
@@ -22,7 +22,7 @@
 
 
 
-Write an SQL query to swap the seat id of every two consecutive students. If the number of students is odd, the id of the last student is not swapped.</br>
+Write a SQL query to swap the seat id of every two consecutive students. If the number of students is odd, the id of the last student is not swapped.</br>
 Return the result table ordered by id in ascending order.
 
 </br>
diff --git a/Friend Requests : Who Has the Most Friends/READme.md b/Friend Requests : Who Has the Most Friends/READme.md
@@ -22,7 +22,7 @@
 This table contains the ID of the user who sent the request, the ID of the user who received the request, and the date when the request was accepted.
   
 </br>
-Write an SQL query to find the people who have the most friends and the most friends number.  
+Write a SQL query to find the people who have the most friends and the most friends number.  
 
 The test cases are generated so that only one person has the most friends.  
 The query result format is in the following example. 
diff --git a/Game Play Analysis/READme.md b/Game Play Analysis/READme.md
@@ -21,7 +21,7 @@
 This table shows the activity of players of some games. </br>
 Each row is a record of a player who logged in and played a number of games (possibly 0) before logging out on someday using some device. </br>
 </br>
-Write an SQL query to report the fraction of players that logged in again on the day after the day they first logged in, rounded to 2 decimal places. </br>
+Write a SQL query to report the fraction of players that logged in again on the day after the day they first logged in, rounded to 2 decimal places. </br>
 In other words, you need to count the number of players that logged in for at least two consecutive days starting from their first login date, then divide that number by the total number of players.</br>
 </br>
 The query result format is in the following example:  
diff --git a/Investments in 2016/READme.md b/Investments in 2016/READme.md
@@ -28,7 +28,7 @@
 * lon is the longitude of the policy holder's city. It's guaranteed that lon is not NULL.  
 </br>
   
-<b> Write an SQL query to report the sum of all total investment values in 2016 tiv_2016, for all policyholders who:</b>  
+<b> Write a SQL query to report the sum of all total investment values in 2016 tiv_2016, for all policyholders who:</b>  
 
 * have the same tiv_2015 value as one or more other policyholders, and  
 * are not located in the same city like any other policyholder (i.e., the (lat, lon) attribute pairs must be unique).
diff --git a/Last Person to Fit in the Bus/READme.md b/Last Person to Fit in the Bus/READme.md
@@ -28,7 +28,7 @@ weight is the weight of the person in kilograms.
   
 There is a queue of people waiting to board a bus. However, the bus has a weight limit of 1000 kilograms, so there may be some people who cannot board.  
 </br>
-Write an SQL query to find the person_name of the last person that can fit on the bus without exceeding the weight limit. The test cases are generated such that the first person does not exceed the weight limit.  
+Write a SQL query to find the person_name of the last person that can fit on the bus without exceeding the weight limit. The test cases are generated such that the first person does not exceed the weight limit.  
 </br>
 The query result format is in the following example. 
 
diff --git a/Manager with at Least 5 direct Reportees/READme.md b/Manager with at Least 5 direct Reportees/READme.md
@@ -25,7 +25,7 @@ If managerId is null, then the employee does not have a manager.
 No employee will be the manager of themself.  
   
   
-Write an SQL query to report the managers with at least five direct reports.  
+Write a SQL query to report the managers with at least five direct reports.  
 
 Return the result table in any order.  
 
diff --git a/Match Results/READme.md b/Match Results/READme.md
@@ -25,7 +25,7 @@ Each row contains information about the matches played between the two teams and
 
 <br/>
 
-Write an SQL query to find the number of matches won and lost for all the teams.
+Write a SQL query to find the number of matches won and lost for all the teams.
 </br>
 Return the result table in decreasing order of the number of matches won by them.
 </br>
diff --git a/Maximum Sum Subarray - SQL/READme.md b/Maximum Sum Subarray - SQL/READme.md
@@ -31,7 +31,7 @@ You have a table `ArrayTable`, with 2 columns, as follows:
 
 <br/>
 
-Write an SQL query to find the maximum sum among all its subarrays.
+Write a SQL query to find the maximum sum among all its subarrays.
 </br>
 </br>
 <b>The query result format is in the following example:  </b>
diff --git a/Monthly Transactions/READme.md b/Monthly Transactions/READme.md
@@ -25,7 +25,7 @@ The table has information about incoming transactions. </br>
 The state column is an enum of type ["approved", "declined"].
 </br>
   
-Write an SQL query to find for each month and country, the number of transactions and their total amount, the number of approved transactions and their total amount.
+Write a SQL query to find for each month and country, the number of transactions and their total amount, the number of approved transactions and their total amount.
 </br>
 Return the result table in any order.
 
diff --git a/Product Price at a Given Date/READme.md b/Product Price at a Given Date/READme.md
@@ -20,7 +20,7 @@
 Each row of this table indicates that the price of some product was changed to a new price at some date.
 <br/>
 
-Write an SQL query to find the prices of all products on 2019-08-16. Assume the price of all products before any change is 10.  
+Write a SQL query to find the prices of all products on 2019-08-16. Assume the price of all products before any change is 10.  
 Return the result table in any order.
 </br>
 The query result format is in the following example:  
diff --git a/Quiet Students in all the Exams/READme.md b/Quiet Students in all the Exams/READme.md
@@ -24,7 +24,7 @@
 | student_id    | int       |
 | score         | int       |
 
-**Write an SQL query to find and display students who did not achieve the highest or lowest scores in any of their exams. Do not include those students who did not appear in any exam.**
+Write a SQL query to find and display students who did not achieve the highest or lowest scores in any of their exams. Do not include those students who did not appear in any exam.
 
 ### Schema
 
diff --git a/Restaurant Growth/READme.md b/Restaurant Growth/READme.md
@@ -24,7 +24,7 @@ amount is the total paid by a customer. </br>
 </br>
 You are the restaurant owner and you want to analyze a possible expansion (there will be at least one customer every day).  
 </br>
-Write an SQL query to compute the moving average of how much the customer paid in a seven days window (i.e., current day + 6 days before). average_amount should be rounded to two decimal places.  
+Write a SQL query to compute the moving average of how much the customer paid in a seven days window (i.e., current day + 6 days before). average_amount should be rounded to two decimal places.  
 
 Return result table ordered by visited_on in ascending order.</br>
 </br>
diff --git a/User Purchase Platform/READme.md b/User Purchase Platform/READme.md
@@ -21,7 +21,7 @@
 
 The table logs the spendings history of users that make purchases from an online shopping platform which has a desktop and a mobile application .</br>
 <br/>
-<b>Write an SQL query to find the total number of users and the total amount spent using mobile only, desktop only and both mobile and desktop together for each date as given below.</b>
+<b>Write a SQL query to find the total number of users and the total amount spent using mobile only, desktop only and both mobile and desktop together for each date as given below.</b>
 </br>
 <br/>
 Return the result table in any order.
