Distribution plots (histplot, kdeplot) in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a histogram of the 'age' column using seaborn.

Data Analysis Python

import seaborn as sns
import matplotlib.pyplot as plt
sns.histplot(data=df, x=[1])
plt.show()

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

A'age'

B'height'

C'score'

D'weight'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a column name that does not exist in the DataFrame.

Not putting the column name in quotes.

The 'age' column is used to plot the histogram, so the x parameter should be 'age'.

2fill in blank

medium

Complete the code to add a kernel density estimate (KDE) plot for the 'salary' column.

Data Analysis Python

sns.kdeplot(data=df, x=[1])
plt.show()

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

A'department'

B'experience'

C'age'

D'salary'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a categorical column instead of a numeric one.

Forgetting to put the column name in quotes.

The KDE plot is for the 'salary' column, so x should be 'salary'.

3fill in blank

hard

Fix the error in the code to plot a histogram with KDE overlay for the 'score' column.

Data Analysis Python

sns.histplot(data=df, x=[1], kde=True)
plt.show()

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

Ascore

Bdf['score']

C'score'

Dscore_col

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the column name without quotes.

Passing the entire column data instead of the column name.

The x parameter requires the column name as a string, so it should be 'score'.

4fill in blank

hard

Fill both blanks to create a histogram with KDE for the 'height' column and set the color to blue.

Data Analysis Python

sns.histplot(data=df, x=[1], kde=[2], color='blue')
plt.show()

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

A'height'

BTrue

CFalse

D'height_col'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a variable name instead of a string for x.

Setting kde to False or forgetting it.

The x parameter should be 'height' as a string, and kde should be True to show the KDE line.

5fill in blank

hard

Fill all three blanks to create a KDE plot for the 'weight' column, shade the area under the curve, and set the line color to red.

Data Analysis Python

sns.kdeplot(data=df, x=[1], shade=[2], color=[3])
plt.show()

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

A'weight'

BTrue

C'red'

DFalse

Attempts:

3 left

💡 Hint

Common Mistakes

Not putting the column name or color in quotes.

Setting shade to False or omitting it.

Use 'weight' as the x column, set shade to True to fill under the curve, and color to 'red' for the line color.