marketing

the marketing dataset contains \(8\) features and \(40\) records as 40 days that report how much we spent, how many clicks, impressions and transactions we got, whether or not a display campaign was running, as well as our revenue, click-through-rate and conversion rate. the target feature is revenue and the remaining 7 variables are predictors.

 datasets

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

liver

"Eating the Liver of Data Science"

Reza Mohammadi

Kevin Burke

marketing function

the <code>marketing</code> dataset, as a data frame, contains \(40\) rows and \(8\) columns (variables/features). the \(8\) variables are:<ul>
<li><code>spend</code>: daily send of money on PPC (apy-per-click).</li>
<li><code>clicks</code>: number of clicks on for that ad.</li>
<li><code>impressions</code>: amount of impressions per day.</li>
<li><code>display</code>: whether or not a display campaign was running.</li>
<li><code>transactions</code>: number of transactions per day.</li>
<li><code>click.rate</code>: click-through-rate.</li>
<li><code>conversion.rate</code>: conversion rate.</li>
<li><code>revenue</code>: daily revenue.</li>
</ul>

marketing: marketing data set

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