personal_survey

A toy dataset containing 750 responses to a personal 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

personal_survey function

A data frame with 750 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 personal life satisfaction (on a scale from extremely satisfied to extremely dissatisfied)</dd><dt>Q5</dt>
<dd>open text response elaborating on personal life satisfaction</dd>
</dl>

Format

Example survey data regarding personal life satisfaction — personal_survey

A data frame with 750 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 personal life satisfaction (on a scale from extremely satisfied to extremely dissatisfied)</dd>

<dt>Q5</dt>
<dd>open text response elaborating on personal life satisfaction</dd>


</dl>

personal_survey: Example survey data regarding personal life satisfaction

Description

Usage

Arguments

Format