Which of the following code snippets will print a list of all unique colors in the dataset? Use this starter code: data = [ {"color": "blue", "number": 64}, {"color": "green", "number": 710}, {"color": "red", "number": 17}, {"color": "orange", "number": 110}, {"color": "green", "number": 49}, {"color": "yellow", "number": 63} ]

Group of answer choices

print(data.select_unique("color"))

colors = [] for element in data: colors.append(element["color"]) print(colors)

print(data["color"].unique())

colors = [] for element in data: colors.append(element["color"]) print(colors, unique=True)

print(set(data["color"]))

None of these

q2-

Which measure of the relationship between two variables has a more interpretable magnitude: covariance or correlation?

Group of answer choices

Covariance

Correlation

q3-

What type of data visualization is pictured below?

Group of answer choices

Box plot

Scatter plot

Histogram

Line graph

None of these

q4-

Which measure of the relationship between two variables has a more interpretable magnitude: covariance or correlation?

Group of answer choices

Covariance

Correlation