clean_ces_data_preserve_metadata

This function performs minimal cleaning operations on CES data to maximize
preservation of variable metadata, including labels and attributes.

internal

Provides tools to easily access and analyze Canadian Election Study data.
The package simplifies the process of downloading, cleaning, and using 'CES' datasets
for political science research and analysis. The Canadian Election Study ('CES')
has been conducted during federal elections since 1965, surveying Canadians
on their political preferences, engagement, and demographics. Data is accessed
from multiple sources including the 'Borealis' Data repository
<https://borealisdata.ca/> and the official 'Canadian Election Study' website
<https://ces-eec.arts.ubc.ca/>. This package is not officially affiliated
with the Canadian Election Study, 'Borealis' Data, or the University of British
Columbia, and users should cite the original data sources in their work.

Laurence-Olivier M. Foisy

Access to Canadian Election Study Data

clean_ces_data_preserve_metadata function

<dl><dt>data</dt>
<dd>A tibble or data.frame containing raw CES data.</dd>
<dt>year</dt>
<dd>A character string indicating the year of the CES data.</dd>
<dt>language</dt>
<dd>A character string indicating the language for labels ("en" or "fr").</dd></dl>

Arguments

Clean Canadian Election Study Dataset while Preserving Metadata — clean_ces_data_preserve_metadata

<dl>

<dt>data</dt>
<dd>A tibble or data.frame containing raw CES data.</dd>


<dt>year</dt>
<dd>A character string indicating the year of the CES data.</dd>


<dt>language</dt>
<dd>A character string indicating the language for labels ("en" or "fr").</dd>

</dl>

clean_ces_data_preserve_metadata: Clean Canadian Election Study Dataset while Preserving Metadata

Description

Usage

Value

Arguments