Data Analysis with Python Week 3 Quiz Answer

Data Analysis with Python 

Week 3 Quiz Answer

Exploratory Data Analysis

Practice Quiz 1

Descriptive Statistics

Q1) Select the appropriate table for the following line of code:

df-pd.DataFrame('A':["a", "b","a","c","a"]}} 

df ['A'].value_counts()

• value   counts
•  a             3
•  b             1
•  c              1

Q2)What plot would you see after running the following lines of code?

• x=df["engine size] 
• y=df["price"]
• plt.scatter(x,y)
• plt.title("scatterplot of Engine Size vs Price")
• plt.xlabel("Eneine Size") 
• plt.ylabel("Price!)

Practice Quiz 2

Group By in Python

Q1) Consider the dataframe df, how many different groups would there be if you applied the groupby method to the column 'A?

• 3
• 2
• 1

.

Q2) Select the appropriate description of a pivot table:

• A pivot table has one variable displayed along the columns and the other variable displayed along the rows.

• A pivot table contains statistical information for each column

Practice Quiz 3

Correlation

Q1) If umbrella usage is correlated with rain, does that mean that umbrellas cause rain?

• True

• False

Practice Quiz 4

Correlation - Statistics

Q1) Select the scatter plot with the correlation coefficient of -1:

Q2) Consider the following scatter plots ab and c. What plot would have the highest correlation coefficient? (Note: this one is harder than it seems)

• a

• b

• c

• they all have the same value

Practice Quiz 5

Exploratory Data Analysis

Q1) Consider the dataframe df: what method provides the summary statistics?

• described

• heado

• taill)

Q2) What does the horizontal axis in a scatter plot represent?

• Independent variable

• Dependent variable

Q3) What is the largest possible element resulting in the operation df.corr()?

• 100

• 1000

• 1

Q4) If the p-value of the Pearson Correlation is 1. then...

• The variables are correlated

• The variables are not correlated

• None of the above

Q5) Consider the following dataframe:

• df_test=df['body-style', 'price']]

The following operation is applied:

• df_grp = df_test.groupby (['body-style'],as_index=False).mean()

What are the resulting values of:df grp[price']?

• The average price for each body style

• The average price

• The average body style

Q6) What is the minimum possible value of Pearson's Correlation?

• 1

• 100

• -1

Q7) What is the Pearson Correlation between variables X and Y, if X=Y?

• -1 

• 1 

• 0

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Data Analysis with Python

• Data Analysis with Python Week 1 Quiz Answer

• Data Analysis with Python Week 2 Quiz Answer

• Data Analysis with Python Week 3 Quiz Answer

• Data Analysis with Python Week 4 Quiz Answer

• Data Analysis with Python Week 5 Quiz Answer

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