Eggs


The <code>Eggs</code> data set has 105 observations and 10 variables.
The data contains information on weekly sales of eggs in Southern California
over a two year period.


datasets

Underlying support functions for RcmdrPlugin.BCA and a
companion to the book Customer and Business Analytics: Applied
Data Mining for Business Decision Making Using R by Daniel S.
Putler and Robert E. Krider

Dan Putler

Business and Customer Analytics

Eggs function

This data set contains the following variables:
  <dl>
    <dt>Week</dt><dd>
      The observation week (1 to 105). This variable can be used as a time
      trend.
      </dd> <dt>Month</dt><dd>
      A factor that gives the name of the month in which the observation
      occured.
      </dd> <dt>First.Week</dt><dd>
      A factor indicating whether the observation fell on the first week of the
      month with levels:
      <code>No</code>
      <code>Yes</code>
      </dd> <dt>Easter</dt><dd>
      A factor that indicates whether the observation fell the week prior to the
      week containing Easter Sunday, the week containing Easter Sunday, the week
      following the week containing Easter Sunday, or a non-Easter week with
      levels:
      <code>Non Easter</code>
      <code>Pre Easter</code>
      <code>Easter</code>
      <code>Post Easter</code>
      </dd> <dt>Cases</dt><dd>
      Retail sales of eggs in cases.
      </dd> <dt>Egg.Pr</dt><dd>
      Average retail egg price in cents per dozen. 
      </dd> <dt>Beef.Pr</dt><dd>
      Average retail price of 7-bone beef roast in cents per pound.
      </dd> <dt>Pork.Pr</dt><dd>
      Average retail price of strip bacon in cents per pound.
      </dd> <dt>Chicken.Pr</dt><dd>
      Average retail price of whole frying chicken in cents per pound.
      </dd> <dt>Cereal.Pr</dt><dd>
      Average retail price of Cheerios breakfast cereal in cents per pound.
      </dd> </dl> 

Eggs: Retail Sales of Eggs

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