Data Science and Machine Learning with R - Data Import/Export

Data Science and Machine Learning with R - Data Import/Export

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 importing and exporting data in R, highlighting the use of Tidyverse for consistent data handling. It covers reading and writing CSV and Excel files, and introduces web scraping with the HTTR package. The tutorial provides practical examples and explains the significance of using non-proprietary formats like CSV for data sharing.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What steps are involved in exporting data from R to a CSV file?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe how to read data from an Excel file into R.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the purpose of the HTTR package in R?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

How does R handle the import of web pages and what is the significance of the status code?

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