3. Example SQL Queries to Count Distinct Values
   Understanding the DISTINCT Keyword:The DISTINCT keyword in SQL is used to eliminate duplicate rows from a result set. It ensures that each row in the result is unique
4. Unlocking Data Insights: GROUP BY for Categorization and DISTINCT for Unique Values in SQL
   Here's a table summarizing the key differences:Example:Imagine a table storing customer orders with columns for customer_id and product_name
5. Demystifying SQL: DISTINCT vs. GROUP BY for Multiple Columns
   Here's how it works:Scenario: Imagine a table named customers with columns name and city:Problem: You want to retrieve a list of unique combinations of name and city