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Data Science and Machine Learning with R - Data Visualization in R Section Introduction

Data Science and Machine Learning with R - Data Visualization in R Section Introduction

Assessment

Interactive Video

•

Information Technology (IT), Architecture, Social Studies

•

University

•

Practice Problem

•

Hard

Created by

Wayground Content

FREE Resource

The video tutorial emphasizes the importance of data visualization in data science, focusing on the use of ggplot2 in R for creating effective visualizations. It covers the basics of mapping data to visual elements, the systematic approach of ggplot2, and the importance of choosing the right plot for data. The tutorial also highlights the advanced features of ggplot2 and provides references for further learning.

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10 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Why is data visualization considered an important topic in data science?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What does the term 'data visualization' encompass according to the text?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the difference between basic data visualization and making it publication-ready.

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is ggplot2 and why is it significant in the context of data visualization?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the process of mapping variables to aesthetics in ggplot2.

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

Discuss the role of aesthetics in enhancing data visualization.

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some common types of plots that can be created using ggplot2?

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