Mode value in Data Science

 Mode value in Data Science:

  • Mode is another statistical technique to calculate central tendency in data science. We have discussed Mean and Median value in earlier section.
  • This is mostly used for Qualitative attribute type, however, this can be used for Quantitative attribute as well. You can learn attribute types here.
  • The mode for a set of data is the value that occurs most frequently in the set.

Example:

data : 10, 20, 30, 40, 30, 20, 45, 50, 52, 30, 60, 70, 30, 47, 30, 75

Mode : 

Most frequency = 5 for value 30

So, Mode = 30


Multimode:

It is possible to have the greatest frequency for more than one values, which results in more than one Mode. It is called Multimode.

    • unimodal
    • bimodal
    • trimodal
    • In general data set with two or modes is multimodal.

Example:

data : 10, 20, 30, 45, 30, 45, 45, 50, 52, 30, 60, 70, 30, 45, 30, 45

Mode:

Most Frequency = 5 for values 30 and 45.

bimodal data set - Modes = 30 and 45


Empirical Relationship : 

We have following empirical relationship among Mean, Median and Mode for unimodal numeric data that are moderately skewed (Asymmetrical).

    





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