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PRACTICAL QUESTIONS FOR CLASS XII
(2020-21)
SUBJECT – INFORMATICS PRACTICES
MM – 30 TIME – 3 HOURS
SET – 3
Q.1 Takshila Academy School celebrated volunteering
week where each section of class XI dedicated a day for collecting amount for
charity being supported by the school. Section A volunteered on Monday, B on
Tuesday, C on Wednesday and so on. There are six sections in class XI. Amount
collected by sections A to F are 9000, 13000, 8900, 12200, 14500, 6500.
(a) Create a bar chart showing collection amount.
(b) Plot the collected amount vs. days using a bar
chart.
Q.2
Consider the following table FURNITURE. Write SQL commands for the statements (i) to (Viii) and write output for SQL queries (ix) and (x).
Table: FURNITURE
FCODE |
NAME |
PRICE |
MANUFDATE |
WCODE |
10023 |
Coffee table |
4000 |
10-Dec-2016 |
W03 |
10001 |
Dining table |
20500 |
12-JAN-2017 |
W01 |
10012 |
Sofa |
35000 |
06-JUNE-2016 |
W02 |
10024 |
Chair |
2500 |
07-APR-2017 |
W03 |
10090 |
Cabinet |
18000 |
31-MAR-2015 |
W02 |
(i) To display FCODE, NAME and PRICE of items that
have Price less than Rs. 5000.
(ii) To display NAMES and PRICE of those Furniture
Items that have table anywhere in their names.
(iii) To display WCode of Furniture Items. There
should be no duplicate values.
(iv) To display the NAMES and PRICE increased by
500.00 of all the furniture items. (Price should only be displayed as
increased; there should be no increase in the data in the table).
(v) To display FCODE and NAME of each Furniture Item
in descending order of FCODE.
(vi) To display the details of all the Furniture Items
which have Manufacturing date (MANUFDATE) between 01-JAN-2016 and 15-JUNE-2017
(inclusive of both the dates).
(vii) To display the average PRICE of all the
Furniture Items, which are made of Wood with WCODE as W02.
(viii) To display WCODE along with highest price of
Furniture Items.
(ix) SELECT SUM(PRICE) FROM FURNITURE WHERE WCODE =
‘W03’;
(x) SELECT COUNT(DISTINCT PRICE) FROM FURNITURE;
SOLUTION:
Answer-1
(i)
import numpy as np
import matplotlib.pyplot as plt
col = [9000, 13000, 8900, 12200, 14500, 6500]
X=np.arange(6)
plt.title("Takshila Volunteering Week
Collection")
plt.bar(X, col, color = 'g', width = 0.50)
plt.show()
OUTPUT
(ii)
import numpy as np
import matplotlib.pyplot as plt
col = [9000, 13000, 8900, 12200, 14500, 6500]
X=np.arange(6)
plt.title("Takshila Volunteering Week
Collection")
plt.bar(X, col, color = 'Red', width = 0.50)
plt.xticks(X,['Mon', 'Tue', 'Wed', 'Thu', 'Fri',
'Sat'])
plt.xlabel("Days")
plt.ylabel("Collection")
plt.show()
OUTPUT
Answer - 2
1. SELECT FCODE, NAME, PRICE FROM FURNITURE WHERE
PRICE < 5000;
2. SELECT NAME, PRICE FRON FURNITURE WHRERE NAME LIKE
‘%TABLE%’;
3. SELECT DISTINCT WCODE FROM FURNITURE;
4. SELECT NAME, PRICE+500 FROM FURNITURE;
5. SELECT FCODE, NAME FROM FURNITURE ORDER BY FCODE
DESC;
6. SELECT * FROM FURNITURE WHERE MANUFDATE BETWEEN
’01-JAN-2016’ AND ’15-JUNE-2016’;
7. SELECT AVG(PRICE) FROM FURNITURE WHERE WCODE =
‘W02’;
8. SELECT WCODE, MAX(PRICE) FROM FURNITURE;
Output for SQL queries (ix) and (x)
9.
SUM(PRICE) |
6500 |
COUNT(DISTINCT
PRICE) |
5 |
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