Binning: a new function added to the platform

We continue to improve our platform and are pleased to present a new update. Now the processing of variable values is supplemented by the binning function, which allows you to increase the accuracy of calculations and reduce data variance.

What does this mean for users?

• Flexibility in data processing: binning allows you to replace the variable value with the average value of the interval (bin) into which it falls.
• Customizable bin size: the bin or interval size is the size of the sample share specified by the user.
• Variance reduction: the function helps to reduce the spread of values, making data more resistant to outliers and noise.

The new update will allow users to analyze data more effectively and build models with improved characteristics. Already available on the platform – try it out!