Transpose rows to columsn in SQL - mysql

Question

I would like to transpose the rows to columns in sql.
My Table looks like this:
+-------+--------+--------------+---------+--------------+---------+----------------+---------+---------+---------+---------+---------+
| ID | Desk | Reason1 | Amount1 | Reason2 | Amount2 | Reason3 | Amount3 | Reason4 | Amount4 | Reason5 | Amount5 |
+-------+--------+--------------+---------+--------------+---------+----------------+---------+---------+---------+---------+---------+
| 34850 | Desk1 | nktp | 2 | sectors | 1 | auc | 1 | thr | -13 | other | -3 |
| 34851 | Desk2 | TOC Reb | 5 | SG & HK ETF | 5 | | 0 | | 0 | | 0 |
| 34853 | Desk3 | China | -5 | HK | 0 | CNH | 0 | HK2 | 35 | | 0 |
| 34854 | Desk4 | ETFs | 2 | KSTA Opening | 6 | KSTA Rebalance | 14 | | 0 | | 0 |
| 34855 | Desk5 | BTC | 5 | | 0 | | 0 | | 0 | | 0 |
| 34856 | Desk6 | Sales | 10 | Delta | 5 | | 0 | | 0 | | 0 |
| 34857 | Desk7 | ES | 1 | HSI | 0 | | 0 | | 0 | | 0 |
| 34858 | Desk8 | OTC | 10 | SPREADS | 10 | | 0 | | 0 | | 0 |
| 34859 | Desk9 | MES/ZTW | 10 | O/N Spreads | -20 | | 0 | | 0 | | 0 |
| 34860 | Desk10 | CBBC TENCENT | 4 | CBBC HSI | 1 | | 0 | | 0 | | 0 |
+-------+--------+--------------+---------+--------------+---------+----------------+---------+---------+---------+---------+---------+
How do I transpose the table in SQL where the reasons are the rows and the desk are columns?
Output wanted:
+
----------------+---------+--------+-------------+--------+-------+--------+
| | Desk1 | Amount | Desk2 | Amount | Desk3 | Amount |
+----------------+---------+--------+-------------+--------+-------+--------+
| Reason1 | nktp | 2 | TOC Reb | 5 | China | -5 |
| Reason2 | sectors | 1 | SG & HK ETF | 5 | HK | 0 |
| Reason3 | auc | 1 | | | CNH | 0 |
| Reason4 | thr | -13 | | | HK2 | 35 |
| Reason5 | other | -3 | | | | |
| General_Remark | | | | | | |
+----------------+---------+--------+-------------+--------+-------+--------+

Answer 1

A normalized design might look something like this:
reasons
+-----------+---------+----------------+--------+
| reason_id | desk_id | reason | amount |
+-----------+---------+----------------+--------+
| 1 | 34850 | nktp | 2 |
| 2 | 34851 | TOC Reb | 5 |
| 3 | 34853 | China | -5 |
| 4 | 34854 | ETFs | 2 |
| 5 | 34855 | BTC | 5 |
| 6 | 34856 | Sales | 10 |
| 7 | 34857 | ES | 1 |
| 8 | 34858 | OTC | 10 |
| 9 | 34859 | MES/ZTW | 10 |
| 10 | 34860 | CBBC TENCENT | 4 |
| 11 | 34850 | sectors | 1 |
| 12 | 34851 | SG & HK ETF | 5 |
| 13 | 34853 | HK | 0 |
| 14 | 34854 | KSTA Opening | 6 |
| 15 | 34856 | Delta | 5 |
| 16 | 34857 | HSI | 0 |
| 17 | 34858 | SPREADS | 10 |
| 18 | 34859 | O/N Spreads | -20 |
| 19 | 34860 | CBBC HSI | 1 |
| 20 | 34850 | auc | 1 |
| 21 | 34853 | CNH | 0 |
| 22 | 34854 | KSTA Rebalance | 14 |
| 23 | 34850 | thr | -13 |
| 24 | 34853 | HK2 | 35 |
| 25 | 34850 | other | -3 |
+-----------+---------+----------------+--------+
desks
+---------+------------+
| desk_id | Desk_name |
+---------+------------+
| 34850 | Desk1 |
| 34851 | Desk2 |
| 34853 | Desk3 |
| 34854 | Desk4 |
| 34855 | Desk5 |
| 34856 | Desk6 |
| 34857 | Desk7 |
| 34858 | Desk8 |
| 34859 | Desk9 |
| 34860 | Desk10 |
+---------+------------+
If it was me, I'd start from here.