Python for Data Analysis: Step-By-Step with Projects - Relationship of Two Features (1)

Python for Data Analysis: Step-By-Step with Projects - Relationship of Two Features (1)

Assessment

Interactive Video

Computers

9th - 10th Grade

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

This video tutorial explores the use of the Seaborn library to visualize relationships between features in a dataset. It covers various plotting techniques such as scatter plots, pair plots, and joint plots to analyze numeric features. The tutorial also explains how to use correlation matrices and heatmaps to understand feature relationships. By the end, viewers will be able to explore relationships between numeric and categorical features using Seaborn's visualization tools.

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10 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of using the Seaborn library in data visualization?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What types of plots can be used to visualize the relationship between one categorical and one numerical feature?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the relationship between temperature and pressure as shown in the scatter plot.

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how the pair plot function works in Seaborn.

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the role of the joint plot function in Seaborn?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the three ways to create scatter plots in Seaborn as mentioned in the lesson?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What does the correlation matrix represent in the context of numerical features?

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