Data Normalization Methods: Understanding and Choosing the Right One

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Discussion Overview

The discussion centers around data normalization methods, specifically how to choose and apply different techniques for normalizing data. The context includes a request for assistance with understanding normalization methods and their applications.

Discussion Character

  • Homework-related
  • Technical explanation

Main Points Raised

  • One participant requests help with normalizing data and asks for two methods of normalization.
  • Another participant suggests two normalization methods: approximating with a normal distribution by subtracting the mean and dividing by the standard deviation, and scaling to the same range by dividing each score by the highest score.
  • A follow-up question seeks clarification on why those two methods were chosen and how to use them.
  • A response explains the need to combine different categories numerically through normalization to achieve a similar range.
  • Further inquiries are made about calculating the mean and standard deviation for the first method and the result of dividing each price by the highest price for the second method.

Areas of Agreement / Disagreement

The discussion does not present a consensus, as participants are exploring different methods and seeking clarification on their application without resolving the choice of methods.

Contextual Notes

Participants express uncertainty regarding the application of normalization methods and the calculations involved, indicating a need for further explanation and understanding of the concepts.

aruwin
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Hello, please help me with this problem. The question is in the picture. I don't know how to normzalize the data. How to know which method should be used? I need two methods of normalization here. HELP!
Please teach me in detail.
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aruwin said:
Hello, please help me with this problem. The question is in the picture. I don't know how to normzalize the data. How to know which method should be used? I need two methods of normalization here. HELP!
Please teach me in detail.
View attachment 1755

Hi aruwin! :)

Two different normalization methods might be:
  1. Approximate with a normal distribution.
    Subtract the mean, and divide the result by the standard deviation.
  2. Scale to the same range.
    For instance by dividing each score by the highest one.
 
I like Serena said:
Hi aruwin! :)

Two different normalization methods might be:
  1. Approximate with a normal distribution.
    Subtract the mean, and divide the result by the standard deviation.
  2. Scale to the same range.
    For instance by dividing each score by the highest one.
Thanks for replying but could you please tell me why do you pick those two methods? And tell me how to use them.
 
aruwin said:
Thanks for replying but could you please tell me why do you pick those two methods? And tell me how to use them.

Well, we need to combine the different categories numerically.
For that they have to be "normalized", that is, they need to have a similar range.
I'm just mentioning 2 methods to do it.

How to use it?
Well, for method 1, do you know how to calculate a mean? And a standard deviation?
And for method 2, what do you get if you divide each price by the highest price?
 

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