Convert Columns Into Rows
UNPIVOT converts a table’s columns into rows.
Create Table Of Superheroes
- Create a table called SUPERHEROES.
CREATE OR REPLACE TABLE SUPERHEROES (
"ALTER_EGO" VARCHAR(100),
"AGE" INT,
"2015" INT,
"2016" INT,
"2017" INT,
"2018" INT,
"2019" INT
);Insert Rows For Each Superhero
- Insert rows into SUPERHEROES
INSERT INTO SUPERHEROES
VALUES
('The Bomber', 45, 1, 5, 7, 8, 0),
('Mr. Money', 12, 1, 5, 7, 8, 2),
('Nuke Miner', 5, 3, 5, 5, 6, 2),
('The Knife', 43, 1, 2, 9, 8, 0),
('Ninka Baker', 32, 1, 5, 3, 8, 1),
('Banana Bomber', 34, 1, 3, 2, 8, 2),
('Augustine', 12, 1, 5, 7, 8, 0),
('The Kid', 21, 1, 5, 7, 3, 3),
('The Viking', 291, 2, 3, 7, 8, 0);Convert Years Columns Into Rows
- Select all columns from SUPERHEROES
SELECT * FROM SUPERHEROES
- Convert the columns "2015", "2016", "2017", "2018", "2019" into
- rows with appropriate values in a new a YEARS column
UNPIVOT(YEAR FOR YEARS IN ("2015", "2016", "2017", "2018", "2019"));| ALTER_EGO | AGE | YEAR | KILLS |
|---|---|---|---|
| The Bomber | 45 | 2015 | 1 |
| The Bomber | 45 | 2016 | 5 |
| The Bomber | 45 | 2017 | 7 |
| The Bomber | 45 | 2018 | 8 |
| The Bomber | 45 | 2019 | 0 |
| Mr. Money | 12 | 2015 | 1 |
| Mr. Money | 12 | 2016 | 5 |
| Mr. Money | 12 | 2017 | 7 |
| Mr. Money | 12 | 2018 | 8 |
| Mr. Money | 12 | 2019 | 2 |
| Nuke Miner | 5 | 2015 | 3 |
| Nuke Miner | 5 | 2016 | 5 |
| Nuke Miner | 5 | 2017 | 5 |
| Nuke Miner | 5 | 2018 | 6 |
| Nuke Miner | 5 | 2019 | 2 |
| The Knife | 43 | 2015 | 1 |
| The Knife | 43 | 2016 | 2 |
| The Knife | 43 | 2017 | 9 |
| The Knife | 43 | 2018 | 8 |
| The Knife | 43 | 2019 | 0 |
| Ninka Baker | 32 | 2015 | 1 |
| Ninka Baker | 32 | 2016 | 5 |
| Ninka Baker | 32 | 2017 | 3 |
| Ninka Baker | 32 | 2018 | 8 |
| Ninka Baker | 32 | 2019 | 1 |
| Banana Bomber | 34 | 2015 | 1 |
| Banana Bomber | 34 | 2016 | 3 |
| Banana Bomber | 34 | 2017 | 2 |
| Banana Bomber | 34 | 2018 | 8 |
| Banana Bomber | 34 | 2019 | 2 |
| Augustine | 12 | 2015 | 1 |
| Augustine | 12 | 2016 | 5 |
| Augustine | 12 | 2017 | 7 |
| Augustine | 12 | 2018 | 8 |
| Augustine | 12 | 2019 | 0 |
| The Kid | 21 | 2015 | 1 |
| The Kid | 21 | 2016 | 5 |
| The Kid | 21 | 2017 | 7 |
| The Kid | 21 | 2018 | 3 |
| The Kid | 21 | 2019 | 3 |
| The Viking | 291 | 2015 | 2 |
| The Viking | 291 | 2016 | 3 |
| The Viking | 291 | 2017 | 7 |
| The Viking | 291 | 2018 | 8 |
| The Viking | 291 | 2019 | 0 |
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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