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 or use an easy
to remember set of tidy functions for exploratory data analysis.
Introduces three main verbs. explore() to graphically explore a variable or
table, describe() to describe a variable or table and report() to create an
automated report.

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