We can use quantile information of data to set an upper and lower limit. If a value is more than the upper limit or less than the lower limit, then we can either remove the data or replace the value with the upper or lower limit of the data. Let’s look at an example....
What are outliers? Let’s say our target audience is people within the age group of 20 to 30 years, both inclusive. We took input from various people along with their ages and saved the responses. Later, when we started analyzing the data, we saw that some of the...
What are outliers? Let’s say our target audience is people within the age group of 20 to 30 years, both inclusive. We took input from various people along with their ages and saved the responses. Later, when we started analyzing the data, we saw that some of the...
In our previous articles, we discussed equal-width discretization and equal-frequency discretization. We can also perform discretization or binning using custom bin values. This type of discretization is called custom discretization. For example, let’s read the...
What is equal frequency discretization? Let’s say a column in a dataset contains continuous numerical values, such as age, weight, price, etc. Now, we want to convert the continuous numerical values into discrete intervals. This process of converting continuous...
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