Expression

Expression

Expression

Description

Expression involves creating additional features in a dataset by combining existing features in different ways using various expressions and functions. 

Why to use

For Data Preparation

When to use

  • To create additional features
  • To extract some hidden features from the current feature
  • To compute insights from the features 

When not to use

Prerequisites

No prerequisites; it can be applied to any data source.

Input

Any dataset

Output

Additional features created using existing features.

Statistical Methods used

Refer to Operators in Expression Builder.

Limitations

  • It can create only additional features.
  • It cannot create additional data points.

With the Expression function, you can generate new features by modifying a feature or combining two or more existing features from the dataset using arithmetic, logic, text, date, and other such operators.

These various types of operators can be used as standalone operators or combined to create new features. The Expression function provides the facility to validate the expression before using it on the data. New features are created only if the combination of operators produces a valid result.

    • Related Articles

    • Expression

      Expression Description Expression involves creating additional features in a dataset by combining existing features in different ways using various expressions and functions. Why to use For Data Preparation When to use To create additional features ...
    • Rubiscape Spring '21

      New Features Studio & Rubisight Algorithms added in RubiText Centroid based clustering Connectivity based clustering Density based clustering Incremental learning Support for background formatting for text widget Support for background formatting for ...
    • Filtering

      Filtering Description Filtering of numerical or textual, or categorical data based on provided filtering expression. Why to use To filter out certain values from a dataset – Data Preparation When to use When you want to use a subset of the dataset ...
    • Filtering

      Filtering Description Filtering of numerical or textual, or categorical data based on provided filtering expression. Why to use To filter out certain values from a dataset – Data Preparation When to use When you want to use a subset of the dataset ...
    • Data Preparation

      What is Data Preparation Data preparation is the process of cleaning and transforming raw data into organized data so that it can be processed and further analyzed. In data preparation, data is reformatted, corrected, and combined so that it gets ...