Update block quoted Note

2-Working-With-Data/05-relational-databases/README.md

@@ -62,7 +62,7 @@ But before we create the next table, we need to figure out how to reference each
 | 2       | Atlanta  | United States |
 | 3       | Auckland | New Zealand   |
 
-> [!NOTE] You will notice we use the terms "id" and "primary key" interchangeably during this lesson. The concepts here apply to DataFrames, which you will explore later. DataFrames don't use the terminology of "primary key", however you will notice they behave much in the same way.
+> [NOTE] You will notice we use the terms "id" and "primary key" interchangeably during this lesson. The concepts here apply to DataFrames, which you will explore later. DataFrames don't use the terminology of "primary key", however you will notice they behave much in the same way.
 
 With our cities table created, let's store the rainfall. Rather than duplicating the full information about the city, we can use the id. We should also ensure the newly created table has an *id* column as well, as all tables should have an id or primary key.
 
@@ -100,7 +100,7 @@ FROM cities;
 
 `SELECT` is where you list the columns, and `FROM` is where you list the tables.
 
-> [!NOTE] SQL syntax is case-insensitive, meaning `select` and `SELECT` mean the same thing. However, depending on the type of database you are using the columns and tables might be case sensitive. As a result, it's a best practice to always treat everything in programming like it's case sensitive. When writing SQL queries common convention is to put the keywords in all upper-case letters.
+> [NOTE] SQL syntax is case-insensitive, meaning `select` and `SELECT` mean the same thing. However, depending on the type of database you are using the columns and tables might be case sensitive. As a result, it's a best practice to always treat everything in programming like it's case sensitive. When writing SQL queries common convention is to put the keywords in all upper-case letters.
 
 The query above will display all cities. Let's imagine we only wanted to display cities in New Zealand. We need some form of a filter. The SQL keyword for this is `WHERE`, or "where something is true".