Correlation with corr() in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to calculate the correlation matrix of the DataFrame.

Data Analysis Python

correlation_matrix = df.[1]()

Drag options to blanks, or click blank then click option'

Amean

Bcorr

Csum

Ddescribe

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'mean()' instead of 'corr()' which calculates averages, not correlations.

Using 'sum()' which adds values, not related to correlation.

The corr() method calculates the correlation matrix between numerical columns in a DataFrame.

2fill in blank

medium

Complete the code to calculate the correlation between columns 'A' and 'B' in the DataFrame.

Data Analysis Python

correlation = df['A'].[1](df['B'])

Drag options to blanks, or click blank then click option'

Acorr

Bmean

Csum

Dcount

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'mean()' which calculates average, not correlation.

Using 'sum()' which adds values, not correlation.

The corr() method can be used on a Series to find correlation with another Series.

3fill in blank

hard

Fix the error in the code to calculate correlation matrix correctly.

Data Analysis Python

correlation_matrix = df.[1]

Drag options to blanks, or click blank then click option'

Acorr()

Bcorr

Ccorr[]

Dcorr{}

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting parentheses after 'corr' causing no calculation.

Using brackets or braces which are invalid syntax here.

The corr() method must be called with parentheses to execute and return the correlation matrix.

4fill in blank

hard

Fill both blanks to create a dictionary of correlations for columns with correlation greater than 0.5.

Data Analysis Python

high_corr = {col: df['target'].[1](df[col]) for col in df.columns if df['target'].[2] col > 0.5}

Drag options to blanks, or click blank then click option'

Acorr

B==

C>

Dmean

Attempts:

3 left

💡 Hint

Common Mistakes

Using '==' instead of '>' which checks for equality, not greater than.

Using 'mean' instead of 'corr' which does not calculate correlation.

Use corr to calculate correlation and > to filter columns with correlation greater than 0.5.

5fill in blank

hard

Fill all three blanks to create a filtered DataFrame with columns having correlation above 0.7 with 'score'.

Data Analysis Python

corr_matrix = df.[1]()
high_corr_cols = [col for col in corr_matrix['score'] if corr_matrix['score'][col] [2] 0.7]
filtered_df = df[[3]]

Drag options to blanks, or click blank then click option'

Acorr

B>

Chigh_corr_cols

Dmean

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'mean' instead of 'corr' for correlation matrix.

Using '<' instead of '>' for filtering.

Using wrong variable name instead of the filtered column list.

Calculate correlation matrix with corr(), filter columns with correlation greater than 0.7, and select those columns from the DataFrame.