Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib Scatter P

Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib Scatter P

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains how to create and customize scatter plots using Matplotlib and Seaborn. It covers generating random data, setting different colors and sizes for data points, and using alpha blending and color maps. The tutorial also demonstrates using real data from the Iris dataset to create scatter plots, highlighting the use of Seaborn for enhanced data visualization.

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10 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of using different markers in a scatter plot?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What function in Matplotlib is used to create a scatter plot?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you represent different colors for different data points in a scatter plot?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the steps to generate random data for a scatter plot?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how to set different sizes for markers in a scatter plot.

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the role of the 'c' parameter in the PLT scatter function?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the alpha blending parameter in a scatter plot?

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