Question: # CG Q 3 b # Use the sum ( ) and is . na ( ) functions to count the number of missing values

# CG Q

3

b # Use the sum

()

and is

.

()

functions to count the number of missing values in the points column.

# CG Q

3

c # Use the sum

()

and is

.

()

functions to count the number of missing values in the price column.

# CG Q

3

d # Use the sum

()

and is

.

()

functions to count the number of observations that have a price.

####### Hint: Since the

!

means "not", putting an

!

in front of is

.

()

counts the non

-

missing values.

# CG Q

4

a # Use the mean

()

function to calculate the average points for the wines in the dataset.

# CG Q

4

b # Use the mean

()

function to calculate the average price for the wines in the dataset.

# CG Q

5

a # Use the mean

()

function to calculate the average points for the Napa Sonoma sub

-

region.

####### Your code should be a single line and will use the square brackets for subsetting.

# CG Q

5

b # Use the mean

()

function to calculate the average price for the Napa Sonoma sub

-

region using a single line of code.

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