create_data_churn

Artificial data that can be used for unit-testing or teaching

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_churn 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 churn — create_data_churn

<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_churn: Create data churn

Description

Usage

Value

Arguments