Learning R for Data Visualization (Video 6)

Learning R for Data Visualization (Video 6)

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

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FREE Resource

This video tutorial covers exporting data from R in various formats, including text, CSV, and Excel. It begins with an introduction to exporting data, followed by a section on subsetting data frames in R, specifically focusing on air pollution data for California. The tutorial then explores different methods for exporting data frames, such as using read and write table functions. A detailed explanation of writing data to Excel sheets is provided, including appending data to existing files. The video concludes with a summary and a preview of upcoming topics on plotting in R.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in setting up the environment for data manipulation in R?

Exporting data to a CSV file

Importing the necessary packages

Creating a new data frame

Subsetting the data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you create a subset of data in R that only includes rows where a specific condition is met?

By changing the working directory

By importing a new data file

By exporting the data to Excel

By using a logical statement

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which function is used to write a table from R to the hard disk?

export.table

write.table

import.table

read.table

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When exporting data to an Excel file with multiple sheets, what must be specified for each sheet?

The separation symbol

The file name

The name of the Excel sheet

The logical statement

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What option should be used to append data to an existing Excel file in R?

Append = T

Append = F

Overwrite = F

Overwrite = T