Contents

 Bin Continuous Data

Introduction

Binning is a process of grouping measured data into data classes. These data classes can be further used in various analyses. For example a variable, which takes continuous numerical value, may not be allowed to be selected as input/output variable in certain routines of XLMiner™. So Binning utility addresses this by putting the values of that variable in certain number of bins. The “binned-variable” can be chosen as a categorical variable. The user can decide what values the binned variable should take.

There are following options available for binning-

  1. Equal count : In equal count bin interval is decided on the basis of number of records present in the bin variable. In equal count there are following options available :

    • Rank : In this option each value in the variable is assigned a rank according to the start and increment value. User can specify the starting and  increment value.

    • Mean : Mean is calculated as mean of the values lying in bin interval. This mean value is assigned to each value of the variable that lies in that interval.

    • Median : Records with the same binning value are counted and median is calculated on the input value. The median value is then assigned to the binned variable.

  2. Equal Interval  : Equal interval is based on the bin size. In equal interval, the whole range is divided in the user specified bin size. In equal interval the options of Rank and Mid value are available.

 

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