Scatter plots with regression (regplot) 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

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

Apandas

Bnumpy

Cseaborn

Dmatplotlib

Attempts:

3 left

💡 Hint

Common Mistakes

Importing matplotlib instead of seaborn.

Using pandas or numpy which do not have regplot.

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

2fill in blank

medium

Complete the code to create a scatter plot with regression line using seaborn's regplot with x='age' and y='income'.

Data Analysis Python

sns.regplot(x='[1]', y='income', data=df)

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

Asalary

Bage

Cweight

Dheight

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'salary' or other unrelated columns as x.

Swapping x and y variables.

The x-axis variable is 'age' to plot against 'income' on y-axis.

3fill in blank

hard

Fix the error in the code to show the plot after creating the regplot.

Data Analysis Python

sns.regplot(x='age', y='income', data=df)
plt.[1]()

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

Ashow

Bdisplay

Cplot

Ddraw

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting to import matplotlib.pyplot as plt.

Using incorrect function names like plot() or draw().

Use plt.show() to display the plot after plotting.

4fill in blank

hard

Fill both blanks to create a regplot with data from df, plotting 'height' on x and 'weight' on y.

Data Analysis Python

sns.regplot(x='[1]', y='[2]', data=df)

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

Aheight

Bage

Cweight

Dincome

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping x and y variables.

Using unrelated columns like 'age' or 'income'.

The x variable is 'height' and the y variable is 'weight' to plot their relationship.

5fill in blank

hard

Fill all three blanks to create a regplot with x='experience', y='salary', and disable the confidence interval.

Data Analysis Python

sns.regplot(x='[1]', y='[2]', data=df, ci=[3])
plt.show()

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

Aage

Bsalary

CFalse

Dexperience

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong column names for x or y.

Not setting ci parameter correctly.

Set x to 'experience', y to 'salary', and ci=False to hide the confidence interval.