Heatmaps for correlation 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 df.

Data Analysis Python

corr_matrix = df.[1]()

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Asum

Bmean

Ccorr

Ddescribe

Attempts:

3 left

💡 Hint

Common Mistakes

Using mean() or sum() instead of corr().

Trying to use describe() which gives summary statistics, not correlation.

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

2fill in blank

medium

Complete the code to import the seaborn library with its common alias.

Data Analysis Python

import [1] as sns

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Aseaborn

Bmatplotlib

Cpandas

Dnumpy

Attempts:

3 left

💡 Hint

Common Mistakes

Importing matplotlib or pandas instead of seaborn.

Not using the alias sns.

Seaborn is commonly imported as sns for creating statistical visualizations like heatmaps.

3fill in blank

hard

Fix the error in the code to create a heatmap of the correlation matrix corr_matrix.

Data Analysis Python

sns.heatmap([1], annot=True, cmap='coolwarm')

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Adf

Bcorr_matrix

Cdata

Dplt

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the original DataFrame instead of the correlation matrix.

Passing matplotlib or unrelated variables.

The heatmap function needs the correlation matrix as input to visualize it.

4fill in blank

hard

Fill both blanks to create a heatmap with a title and show the plot.

Data Analysis Python

sns.heatmap(corr_matrix, annot=True, cmap=[1])
plt.[2]()

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A'viridis'

Bshow

C'coolwarm'

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using an unrelated color map.

Forgetting to call plt.show().

The cmap parameter sets the color scheme; 'coolwarm' is common for correlations. plt.show() displays the plot.

5fill in blank

hard

Fill all three blanks to import matplotlib, set figure size, and create a heatmap with annotations.

Data Analysis Python

import [1] as plt
plt.figure(figsize=([2], 6))
sns.heatmap(corr_matrix, annot=[3], cmap='coolwarm')

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Amatplotlib.pyplot

B10

CTrue

Dseaborn

Attempts:

3 left

💡 Hint

Common Mistakes

Importing seaborn as plt.

Setting figure size with wrong values.

Not enabling annotations.

We import matplotlib.pyplot as plt, set figure width to 10, and enable annotations with annot=True.