Update README.md

Author: arpitj07

README.md

@@ -7,30 +7,39 @@ SQL, Structured Query Language, is a programming language designed to manage dat
 
 ### 1.Query for Retrieving Tables
 > This query can be run to retrieve the list of tables present in a database where the database is “My_Schema”.
+
 `SELECT * FROM My_Schema.Tables;`
 
 ### 2. Query for Selecting Columns from a Table
 > This is perhaps the most widely used SQL query. In the example below, we are extracting the “Student_ID” column or attribute from the table “STUDENT”.
+
 `SELECT Student_ID FROM STUDENT;`
 
 > If you want to display all the attributes from a particular table, this is the right query to use:
+
 `SELECT * FROM STUDENT;`
 
 ### 3.Query for Outputting Data Using a Constraint
 > This query retrieves the specified attributes from the table on the constraint Employee ID =0000
+
 `SELECT EMP_ID, NAME FROM EMPLOYEE_TBL WHERE EMP_ID = '0000';`
 
 ### 4.Query for Outputting Sorted Data Using ‘Order By’
 > This query orders the results with respect to the attribute which is referenced to using “Order By” – so for example, if that attribute is an integer data type, then the result would either be sorted in ascending or descending order; likewise, if the data type is a String then the result would be ordered in alphabetical order.
+
 `SELECT EMP_ID, LAST_NAME FROM EMPLOYEE
+
 WHERE CITY = 'Seattle' ORDER BY EMP_ID;`
 
 > The ordering of the result can also be set manually, using “asc ” for ascending and “desc” for descending.
+
 `SELECT EMP_ID, LAST_NAME FROM EMPLOYEE_TBL
+
 WHERE CITY = 'INDIANAPOLIS' ORDER BY EMP_ID asc;`
 
 ### 5.Query for Outputting Sorted Data Using ‘Group By’
 > The ‘Group By’ property groups the resulting data according to the specified attribute.
+
 `SELECT Name, Age FROM Patients WHERE Age > 40 
 GROUP BY Age ORDER BY Name;`
 
@@ -43,40 +52,48 @@ GROUP BY Age ORDER BY Name;`
 
 ### 6.Data Manipulation Using COUNT
 > This query displays the total number of customers by counting each customer ID. In addition, it groups the results according to the country of each customer.
+
 `SELECT COUNT(CustomerID), Country FROM Customers GROUP BY Country;`
 
 ### 7. Data Manipulation Using SUM
 > SUM calculates the total of the attribute that is given to it as an argument.
+
 `SELECT SUM(Salary)FROM Employee WHERE Emp_Age < 30;`
 
 ### 8. Data Manipulation Using AVG
 Simple – an average of a given attribute.
+
 `SELECT AVG(Price)FROM Products;`
 
 ### 9. ALTER TABLE
 > ALTER TABLE lets you add columns to a table in a database.
+
 `ALTER TABLE table_name 
 ADD column_name datatype;`
 
 ### 10. AND
 > AND is an operator that combines two conditions. Both conditions must be true for the row to be included in the result set.
+
 `SELECT column_name(s)
 FROM table_name
 WHERE column_1 = value_1
 AND column_2 = value_2;`
 
 ### 11. AS
 > AS is a keyword in SQL that allows you to rename a column or table using an alias.
+
 `SELECT column_name AS 'Alias'
 FROM table_name;`
 
 ### 12. AVG
 > AVG() is an aggregate function that returns the average value for a numeric column.
+
 `SELECT AVG(column_name)
 FROM table_name;`
 
 ### 13. BETWEEN
 > The BETWEEN operator is used to filter the result set within a certain range. The values can be numbers, text or dates.
+
 `SELECT column_name(s)
 FROM table_name
 WHERE column_name BETWEEN value_1 AND value_2;`
@@ -104,7 +121,7 @@ WHERE GPA > 40;`
 > This query updates the view named ‘Product List’ – and if this view doesn’t exist, then the Product List view gets created as specified in this query.
 
 `CREATE OR REPLACE VIEW [ Product List] AS
-SELECT ProductID, ProductName, Category
-FROM Products
-WHERE Discontinued = No;`
+ SELECT ProductID, ProductName, Category
+ FROM Products
+ WHERE Discontinued = No;`