create_data_unfair

Artificial data that can be used for unit-testing or teaching
(fairness &amp; AI bias)

Interactive data exploration with one line of code, automated
reporting or use an easy to remember set of tidy functions for low
code exploratory data analysis.

Roland Krasser

explore

Simplifies Exploratory Data Analysis

create_data_unfair function

<dl><dt>obs</dt>
<dd>Number of observations</dd>
<dt>target_name</dt>
<dd>Variable name of target</dd>
<dt>factorise_target</dt>
<dd>Should target variable be factorised?</dd>
<dt>target1_prob</dt>
<dd>Probability that target = 1</dd>
<dt>add_id</dt>
<dd>Add an id-variable to data?</dd>
<dt>seed</dt>
<dd>Seed for randomization (integer)</dd></dl>

Arguments

Create data unfair — create_data_unfair

<dl>

<dt>obs</dt>
<dd>Number of observations</dd>


<dt>target_name</dt>
<dd>Variable name of target</dd>


<dt>factorise_target</dt>
<dd>Should target variable be factorised?</dd>


<dt>target1_prob</dt>
<dd>Probability that target = 1</dd>


<dt>add_id</dt>
<dd>Add an id-variable to data?</dd>


<dt>seed</dt>
<dd>Seed for randomization (integer)</dd>

</dl>

create_data_unfair: Create data unfair

Description

Usage

Value

Arguments

Examples