The file ApplianceShipments.csv contains the series of quarterly shipments (in millions of dollars) of US household appliances between 1985 and 1989.

Quarter	Shipments
Q1-1985	4009
Q2-1985	4321
Q3-1985	4224
Q4-1985	3944
Q1-1986	4123
Q2-1986	4522
Q3-1986	4657
Q4-1986	4030
Q1-1987	4493
Q2-1987	4806
Q3-1987	4551
Q4-1987	4485
Q1-1988	4595
Q2-1988	4799
Q3-1988	4417
Q4-1988	4258
Q1-1989	4245
Q2-1989	4900
Q3-1989	4585
Q4-1989	4533

#Write code to get the following output # 1. load the data using Pandas read_csv (1 line of code) # MISSING: one line of code needed.

# 2. Print the number of rows and columns (1 line of code) # MISSING: one line of code needed.

output: (20, 2)

# 1. Print the first 5 rows of the data frame # MISSING: one line of code needed.

Output:

QuarterShipments

0 Q1-1985 4009

1 Q2-1985 4321

2 Q3-1985 4224

3 Q4-1985 3944

4 Q1-1986 4123