job_survey

A toy dataset containing 500 responses to a job satisfaction survey. The
responses were randomly generated using the Qualtrics survey platform.

datasets

Provides functions for manipulating nested data frames in a
list-column using 'dplyr' <https://dplyr.tidyverse.org/> syntax. Rather than
unnesting, then manipulating a data frame, 'nplyr' allows users to
manipulate each nested data frame directly. 'nplyr' is a wrapper for 'dplyr'
functions that provide tools for common data manipulation steps: filtering
rows, selecting columns, summarising grouped data, among others.

Mark Rieke

nplyr

A Grammar of Nested Data Manipulation

Joran Elias

job_survey function

A data frame with 500 rows and 6 variables:<dl>
<dt>survey_name</dt>
<dd>name of survey</dd><dt>Q1</dt>
<dd>respondent age</dd><dt>Q2</dt>
<dd>city the respondent resides in</dd><dt>Q3</dt>
<dd>field that the respondent that works in</dd><dt>Q4</dt>
<dd>respondent's job satisfaction (on a scale from extremely satisfied to extremely dissatisfied)</dd><dt>Q5</dt>
<dd>respondent's annual salary, in thousands of dollars</dd>
</dl>

Format

Example survey data regarding job satisfaction — job_survey

A data frame with 500 rows and 6 variables:<dl>
<dt>survey_name</dt>
<dd>name of survey</dd>

<dt>Q1</dt>
<dd>respondent age</dd>

<dt>Q2</dt>
<dd>city the respondent resides in</dd>

<dt>Q3</dt>
<dd>field that the respondent that works in</dd>

<dt>Q4</dt>
<dd>respondent's job satisfaction (on a scale from extremely satisfied to extremely dissatisfied)</dd>

<dt>Q5</dt>
<dd>respondent's annual salary, in thousands of dollars</dd>


</dl>

job_survey: Example survey data regarding job satisfaction

Description

Usage

Arguments

Format