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labels = ['Oxygen','Hydrogen','Carbon_Dioxide','Nitrogen']
values = [4500,2500,1053,500]
Sample data:
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Consider the following table HOSPITAL.
Table: HOSPITAL
| PNo | Name | Age | Department | DateofAdm | Charges | Sex |
| 1 | Mayank | 65 | Surgery | 23/02/2018 | 600 | M |
| 2 | Babita | 24 | ENT | 01/01/2019 | 400 | F |
| 3 | Kashish | 45 | Orthopaedic | 19/12/2018 | 400 | M |
| 4 | Tarun | 12 | Surgery | 01/10/2018 | 600 | M |
| 5 | Manisha | 36 | ENT | 12/01/2018 | 400 | F |
| 6 | Imran | 16 | ENT | 24/02/2018 | 400 | M |
| 7 | Ankita | NULL | Cardiology | 20/08/2018 | 800 | F |
| 8 | Zoya | 45 | Gynecology | 22/02/2018 | 500 | F |
| 9 | Kush | 19 | Cardiology | 13/01/2019 | 800 | M |
| 10 | Shalini | 31 | Medicine | 19/02/2018 | 300 | F |
Note: PNo is the primary key in the above table.
Write SQL commands for the statements (a) to (g) on the table HOSPITAL.
(a) To display the details of all the patients whose name starts with the alphabet ‘Z’.
(b) To change the age of the patient Kush to 20.
(c) To increase the charges of all the patients by 5%.
(d) To remove the record of the patient whose Name is Tarun.
(e) To add another column DocName(Doctor Name) of the type varchar in the above table.
(f) To display patient detail whose age is missing(null).
(g) To decrease the charges by 5% of all the patients admitted to the ENT department.