Understanding the working of 'interpolation'

Question

1.00/5 (1 vote)

See more:

'Interpolation' is a technique that is used to predict a null/empty value by studying its neighbouring points.

Interpolation doesn't take into consideration the entire dataset when predicting the missing value of a column. It only considers the values of the column that is being interpolated.

What I have tried:

So, how does this technique identify the null value's closest neighbours? How does a value that doesn't exist be considered for anything? What is its reference point?

Posted 8-Nov-23 6:40am

Apoorva666

Add a Solution

1 solution

Add your solution here

Treat my content as plain text, not as HTML

Preview 0

…

Existing Members

Sign in to your account

...or Join us

Download, Vote, Comment, Publish.

Your Email
Password
Forgot your password?

Your Email
This email is in use. Do you need your password?
Optional Password StrengthToo short

I have read and agree to the Terms of Service and Privacy Policy
Please subscribe me to the CodeProject newsletters

Submit your solution

When answering a question please:

Read the question carefully.
Understand that English isn't everyone's first language so be lenient of bad spelling and grammar.
If a question is poorly phrased then either ask for clarification, ignore it, or edit the question and fix the problem. Insults are not welcome.
Don't tell someone to read the manual. Chances are they have and don't get it. Provide an answer or move on to the next question.

Let's work to help developers, not make them feel stupid.

This content, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Gerry Schmitz · Accepted Answer · 2023-11-08T07:09:00

Solution 1

To interpolate, you need the "relative position" of the missing point, relative to the "two" points on "either side" of the missing value.

In other words, you can't interpolate unless you have at least 2 points to start with, and you know "about" where the missing value should be.

e.g. If the two points are 6 and 12, a missing "middle value" would be 6 + ((12-6) * .5) = 9.

Posted 8-Nov-23 7:09am

Gerry Schmitz

Comments

CPallini 9-Nov-23 5:52am

5.

Andre Oosthuizen 9-Nov-23 13:55pm

And my 5!