Pair plots for feature relationships in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the seaborn library as sns.

Data Analysis Python

import [1] as sns

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Aseaborn

Bmatplotlib

Cpandas

Dnumpy

Attempts:

3 left

💡 Hint

Common Mistakes

Importing matplotlib as sns

Importing pandas as sns

Importing numpy as sns

Seaborn is imported as sns to use its plotting functions like pairplot.

2fill in blank

medium

Complete the code to load the 'iris' dataset using seaborn.

Data Analysis Python

data = sns.[1]('iris')

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Aload_iris

Bread_csv

Cload_dataset

Dget_data

Attempts:

3 left

💡 Hint

Common Mistakes

Using read_csv which is a pandas function

Using load_iris which is from sklearn

Using get_data which is not a seaborn function

The function load_dataset loads example datasets like 'iris' in seaborn.

3fill in blank

hard

Fix the error in the code to create a pair plot of the data.

Data Analysis Python

sns.pairplot(data=[1])
plt.show()

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Adata

Bdataset

Cdf

Diris

Attempts:

3 left

💡 Hint

Common Mistakes

Passing 'iris' instead of the variable data

Passing undefined variables like df or dataset

The variable holding the dataset is named data, so it must be passed to pairplot.

4fill in blank

hard

Fill both blanks to create a pair plot showing only numeric features and coloring by species.

Data Analysis Python

sns.pairplot(data=[1], hue=[2])
plt.show()

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Adata

B'species'

C'class'

Diris

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'class' instead of 'species' for hue

Passing the dataset as a string instead of variable

The dataset variable is data and the column to color by is 'species'.

5fill in blank

hard

Fill all three blanks to create a pair plot with markers for each species and limited variables.

Data Analysis Python

sns.pairplot(data=[1], vars=[2], hue=[3], markers=['o', 's', '^'])
plt.show()

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Adata

B['sepal_length', 'sepal_width', 'petal_length']

C'species'

D'variety'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'variety' instead of 'species' for hue

Passing vars as a string instead of a list

Using an undefined variable instead of data

Use the dataset variable data, select the numeric columns in a list, and color by 'species'.