datacleanr_server

Flexible and efficient cleaning of data with interactivity.
'datacleanr' facilitates best practices in data analyses and reproducibility with built-in features and by translating interactive/manual operations to code.
The package is designed for interoperability, and so seamlessly fits into reproducible analyses pipelines in 'R'.

Alexander Hurley

datacleanr

Interactive and Reproducible Data Cleaning

Richard Peters

Christoforos Pappas

datacleanr_server function

<dl><dt>input, output, session</dt>
<dd>standard <code>shiny</code> boilerplate</dd>
<dt>dataset</dt>
<dd>data.frame, tibble or data.table that needs cleaning</dd>
<dt>df_name</dt>
<dd>character, name of dataset or file_path passed into shiny app</dd>
<dt>is_on_disk</dt>
<dd>logical, whether df was read from file</dd></dl>

Arguments

datacleanr server function — datacleanr_server

<dl>

<dt>input, output, session</dt>
<dd>standard <code>shiny</code> boilerplate</dd>


<dt>dataset</dt>
<dd>data.frame, tibble or data.table that needs cleaning</dd>


<dt>df_name</dt>
<dd>character, name of dataset or file_path passed into shiny app</dd>


<dt>is_on_disk</dt>
<dd>logical, whether df was read from file</dd>

</dl>

datacleanr_server: datacleanr server function

Description

Usage

Arguments