Data binning
Okay kiddo, let me explain data binning like you're 5 years old. Imagine you have a bunch of candies (data) with different colors (values). You want to group them based on their colors.
Data binning is similar to that. Instead of candies, we have a bunch of numbers, and we want to group them based on their values. We put the numbers into different groups or bins, like putting candies of the same color into one group.
For example, let's say we have a set of heights of a group of people. We can group them into different bins based on their height ranges. We can have a bin for people who are between 4 to 5 feet tall, another bin for people between 5 to 6 feet tall, and so on.
Data binning is helpful when we have too much data to work with, and we want to simplify it or make it easier to analyze. It's like putting candies in different bags or containers so that we can count or sort them more quickly.
Data binning is similar to that. Instead of candies, we have a bunch of numbers, and we want to group them based on their values. We put the numbers into different groups or bins, like putting candies of the same color into one group.
For example, let's say we have a set of heights of a group of people. We can group them into different bins based on their height ranges. We can have a bin for people who are between 4 to 5 feet tall, another bin for people between 5 to 6 feet tall, and so on.
Data binning is helpful when we have too much data to work with, and we want to simplify it or make it easier to analyze. It's like putting candies in different bags or containers so that we can count or sort them more quickly.
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