churn

This dataset comes from IBM Sample Data Sets. Customer churn occurs when customers stop doing business with a company, also known as customer attrition. the data set contains \(5000\) rows (customers) and \(20\) columns (features). the "Churn" column is our target which indicate whether customer churned (left the company) or not.

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Provides a suite of helper functions and a collection of datasets used in the book <https://uncovering-data-science.netlify.app>. It is designed to make data science techniques accessible to individuals with minimal coding experience. Inspired by an ancient Persian idiom, the package likens this learning process to "eating the liver of data science," symbolizing deep and immersive engagement with the field.

Abdolreza Mohammadi

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"Eating the Liver of Data Science"

Reza Mohammadi

Kevin Burke

churn function

the <code>churn</code> dataset, as a data frame, contains \(5000\) rows (customers) and \(20\) columns (variables/features). the \(20\) variables are:<ul>
<li><code>state</code>: Categorical, for the \(51\) states and the District of Columbia.</li>
<li><code>area.code</code>: Categorical.</li>
<li><code>account.length</code>: count, how long account has been active.</li>
<li><code>voice.plan</code>: Categorical, yes or no, voice mail plan.</li>
<li><code>voice.messages</code>: Count, number of voice mail messages.</li>
<li><code>intl.plan</code>: Categorical, yes or no, international plan.</li>
<li><code>intl.mins</code>: Continuous, minutes customer used service to make international calls.</li>
<li><code>intl.calls</code>: Count, total number of international calls.</li>
<li><code>intl.charge</code>: Continuous, total international charge.</li>
<li><code>day.mins</code>: Continuous, minutes customer used service during the day.</li>
<li><code>day.calls</code>: Count, total number of calls during the day.</li>
<li><code>day.charge</code>: Continuous, total charge during the day.</li>
<li><code>eve.mins</code>: Continuous, minutes customer used service during the evening.</li>
<li><code>eve.calls</code>: Count, total number of calls during the evening.</li>
<li><code>eve.charge</code>: Continuous, total charge during the evening.</li>
<li><code>night.mins</code>: Continuous, minutes customer used service during the night.</li>
<li><code>night.calls</code>: Count, total number of calls during the night.</li>
<li><code>night.charge</code>: Continuous, total charge during the night.</li>
<li><code>customer.calls</code>: Count, number of calls to customer service.</li>
<li><code>churn</code>: Categorical, yes or no. Indicator of whether the customer has left the company (yes or no).</li>
</ul>

Format

Churn data set — churn

the <code>churn</code> dataset, as a data frame, contains \(5000\) rows (customers) and \(20\) columns (variables/features). the \(20\) variables are:<ul>
<li><code>state</code>: Categorical, for the \(51\) states and the District of Columbia.</li>
<li><code>area.code</code>: Categorical.</li>
<li><code>account.length</code>: count, how long account has been active.</li>
<li><code>voice.plan</code>: Categorical, yes or no, voice mail plan.</li>
<li><code>voice.messages</code>: Count, number of voice mail messages.</li>
<li><code>intl.plan</code>: Categorical, yes or no, international plan.</li>
<li><code>intl.mins</code>: Continuous, minutes customer used service to make international calls.</li>
<li><code>intl.calls</code>: Count, total number of international calls.</li>
<li><code>intl.charge</code>: Continuous, total international charge.</li>
<li><code>day.mins</code>: Continuous, minutes customer used service during the day.</li>
<li><code>day.calls</code>: Count, total number of calls during the day.</li>
<li><code>day.charge</code>: Continuous, total charge during the day.</li>
<li><code>eve.mins</code>: Continuous, minutes customer used service during the evening.</li>
<li><code>eve.calls</code>: Count, total number of calls during the evening.</li>
<li><code>eve.charge</code>: Continuous, total charge during the evening.</li>
<li><code>night.mins</code>: Continuous, minutes customer used service during the night.</li>
<li><code>night.calls</code>: Count, total number of calls during the night.</li>
<li><code>night.charge</code>: Continuous, total charge during the night.</li>
<li><code>customer.calls</code>: Count, number of calls to customer service.</li>
<li><code>churn</code>: Categorical, yes or no. Indicator of whether the customer has left the company (yes or no).</li>
</ul>

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churn: Churn data set

Description

Usage

Arguments

Format

References

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