Data Joiner

Data Joiner

Data Joiner

Description

Data joiner is a method to join two or more datasets. It is used to join rows based on a related column present in two or more datasets.

Why to use

For Data Preparation 

When to use

When you want to join two or more datasets.

When not to use

—

Prerequisites

It can be used on numerical data.

Related Algorithms

Data Joiner

Alternative Algorithms

—

Input

Two or more datasets

Output

Single dataset with the input datasets merged together.

Statistical Methods used

—

Limitations

It can create only additional rows.

    • Related Articles

    • Data Joiner

      Data Joiner Description Data joiner is a method to join two or more datasets. It is used to join rows based on a related column present in two or more datasets. Why to use For Data Preparation When to use When you want to join two or more datasets. ...

    • 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 ...

    • Data Preparation

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

    • Data Unpivot

      Data Unpivot Description Data Unpivot is a way of transforming data from a wide format to a linear format. The source data is rearranged to make it a part of a single column in the new dataset. Why to use To transform the column data into row data ...

    • Data Unpivot

      Data Unpivot Description Data Unpivot is a way of transforming data from a wide format to a linear format. The source data is rearranged to make it a part of a single column in the new dataset. Why to use To transform the column data into row data ...