SQL In Function: SQL functions explained. For Data Analytics
Here's the complete step-by-step solution to Assignment – 7 for MySQL Workbench. You can copy and run all of this directly in MySQL Workbench:
---
✅ Step 1: Create the Orders Table
-- Optional: Drop the table if it already exists
DROP TABLE IF EXISTS Orders;
-- Create the Orders table
CREATE TABLE Orders (
OrderID INT PRIMARY KEY,
CustomerName VARCHAR(50),
ProductCategory VARCHAR(50),
Quantity INT,
TotalPrice DECIMAL(10, 2),
OrderDate DATE
);
---
✅ Step 2: Insert the Data
INSERT INTO Orders (OrderID, CustomerName, ProductCategory, Quantity, TotalPrice, OrderDate)
VALUES
(1, 'Alice', 'Electronics', 2, 1600.00, '2024-11-01'),
(2, 'Bob', 'Furniture', 1, 300.00, '2024-11-02'),
(3, 'Charlie', 'Electronics', 1, 800.00, '2024-11-03'),
(4, 'Diana', 'Stationery', 10, 50.00, '2024-11-04'),
(5, 'Eve', 'Electronics', 3, 2400.00, '2024-11-05'),
(6, 'Frank', 'Stationery', 20, 100.00, '2024-11-06');
---
Unlocking the Power of Functions: A World of Data Transformation
- Introduce SQL functions as the backbone of data manipulation.
- Highlight the efficiency and flexibility of SQL functions in data transformation.
- Demonstrate how functions empower data analysts to extract meaningful insights.
Exploring Common SQL Functions: A Practical Guide
- Showcase the versatility of various function categories like aggregate, string, numeric, and date.
- Provide real-world examples of how each function category is applied in data manipulation.
- Illustrate the advantages of using specific functions for different data analysis tasks.
Mastering Advanced Function Techniques: Beyond the Basics
- Delve into advanced techniques like nested functions, user-defined functions, and window functions.
- Explain the complexities of combining multiple functions for intricate data manipulation scenarios.
- Show how these techniques enable advanced data analysis and problem-solving.
Case Studies: Real-World Applications of SQL Functions
- Present compelling case studies showcasing the practical uses of SQL functions in various industries.
- Demonstrate how functions are applied to analyze real-world datasets and extract valuable insights.
- Inspire viewers with real-life scenarios where SQL functions solve complex data challenges.
The Future of SQL Functions: Emerging Trends and Possibilities
- Explore the latest trends and advancements in SQL functions, highlighting the future direction of data manipulation.
- Discuss the integration of SQL functions with big data technologies, machine learning, and AI.
- Encourage viewers to stay updated with the evolving landscape of SQL functions in the data analytics world.
#infunctioninsql #analysisbydanish #sql @AnalysisByDanish
Видео SQL In Function: SQL functions explained. For Data Analytics канала Analysis By Danish
---
✅ Step 1: Create the Orders Table
-- Optional: Drop the table if it already exists
DROP TABLE IF EXISTS Orders;
-- Create the Orders table
CREATE TABLE Orders (
OrderID INT PRIMARY KEY,
CustomerName VARCHAR(50),
ProductCategory VARCHAR(50),
Quantity INT,
TotalPrice DECIMAL(10, 2),
OrderDate DATE
);
---
✅ Step 2: Insert the Data
INSERT INTO Orders (OrderID, CustomerName, ProductCategory, Quantity, TotalPrice, OrderDate)
VALUES
(1, 'Alice', 'Electronics', 2, 1600.00, '2024-11-01'),
(2, 'Bob', 'Furniture', 1, 300.00, '2024-11-02'),
(3, 'Charlie', 'Electronics', 1, 800.00, '2024-11-03'),
(4, 'Diana', 'Stationery', 10, 50.00, '2024-11-04'),
(5, 'Eve', 'Electronics', 3, 2400.00, '2024-11-05'),
(6, 'Frank', 'Stationery', 20, 100.00, '2024-11-06');
---
Unlocking the Power of Functions: A World of Data Transformation
- Introduce SQL functions as the backbone of data manipulation.
- Highlight the efficiency and flexibility of SQL functions in data transformation.
- Demonstrate how functions empower data analysts to extract meaningful insights.
Exploring Common SQL Functions: A Practical Guide
- Showcase the versatility of various function categories like aggregate, string, numeric, and date.
- Provide real-world examples of how each function category is applied in data manipulation.
- Illustrate the advantages of using specific functions for different data analysis tasks.
Mastering Advanced Function Techniques: Beyond the Basics
- Delve into advanced techniques like nested functions, user-defined functions, and window functions.
- Explain the complexities of combining multiple functions for intricate data manipulation scenarios.
- Show how these techniques enable advanced data analysis and problem-solving.
Case Studies: Real-World Applications of SQL Functions
- Present compelling case studies showcasing the practical uses of SQL functions in various industries.
- Demonstrate how functions are applied to analyze real-world datasets and extract valuable insights.
- Inspire viewers with real-life scenarios where SQL functions solve complex data challenges.
The Future of SQL Functions: Emerging Trends and Possibilities
- Explore the latest trends and advancements in SQL functions, highlighting the future direction of data manipulation.
- Discuss the integration of SQL functions with big data technologies, machine learning, and AI.
- Encourage viewers to stay updated with the evolving landscape of SQL functions in the data analytics world.
#infunctioninsql #analysisbydanish #sql @AnalysisByDanish
Видео SQL In Function: SQL functions explained. For Data Analytics канала Analysis By Danish
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