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

Using Python, create a line graph of the series at a yearly aggregated level (i.e., the total shipments in each year).

# 1. Create a line plot (time series) of the data with yearly aggregated series # Hint: add groupby() function to dataframe before plotting # MISSING: 2 lines of code needed. # Hint: Do not need the .loc from the example due to not filting rows here

#Add lables to the x and y axis # MISSING: 2 lines of code needed.

Output:

Out[10]: Text(0, 0.5, Shipments (in millon dollars)') 5000 4800 4600 4400 Shipments (in millon dollars) 4200 4000 3800 3600 1985 1986 1988 1989 1987 Quarter