bank_data

It is a dataset that describing Portugal bank marketing campaigns results.
Conducted campaigns were based mostly on direct phone calls, offering bank client to place a term deposit.
If after all marking efforts client had agreed to place deposit - target variable marked 'yes', otherwise 'no'

datasets

One of the main advantages of using Generalised Linear Models
is their interpretability.  The goal of 'prettyglm' is to provide a
set of functions which easily create beautiful coefficient summaries
which can readily be shared and explained. 'prettyglm' helps users
create coefficient summaries which include categorical base levels,
variable importance and type III p.values. 'prettyglm' also creates
beautiful relativity plots for categorical, continuous and splined
coefficients.

Jared Fowler

prettyglm

Pretty Summaries of Generalized Linear Model Coefficients

bank_data function

An object of class <code>"data.frame"</code><dl>
 <dt>job</dt>
<dd>Type of job</dd> <dt>marital</dt>
<dd>marital status</dd> <dt>education</dt>
<dd>education</dd> <dt>default</dt>
<dd>has credit in default?</dd> <dt>housing</dt>
<dd>has housing loan?</dd> <dt>loan</dt>
<dd>has personal loan?</dd> <dt>age</dt>
<dd>age</dd> <dt>y</dt>
<dd>has the client subscribed a term deposit? (binary: "yes","no")</dd>
</dl>

Format

Bank marketing campaigns data set analysis — bank_data

An object of class <code>"data.frame"</code><dl>
 <dt>job</dt>
<dd>Type of job</dd>

 <dt>marital</dt>
<dd>marital status</dd>

 <dt>education</dt>
<dd>education</dd>

 <dt>default</dt>
<dd>has credit in default?</dd>

 <dt>housing</dt>
<dd>has housing loan?</dd>

 <dt>loan</dt>
<dd>has personal loan?</dd>

 <dt>age</dt>
<dd>age</dd>

 <dt>y</dt>
<dd>has the client subscribed a term deposit? (binary: "yes","no")</dd>


</dl>

bank_data: Bank marketing campaigns data set analysis

Description

Usage

Arguments

Format

Details

References

Examples