Data Merge |
Description | Data Merge involves the combining of two or more rows to include them into one table. |
Why to use | For Data Preparation |
When to use | When you want to merge two or more dataset tables into one table where at least one column is common in all the datasets. | When not to use | — |
Prerequisites | It can be used on numerical data. At least one column should be common in the datasets. |
Input | Two or more tables | Output | Single table with rows merged together |
Statistical Methods used | —
| Limitations | It can create only additional rows. |
In the Data Merge algorithm, we merge two or more rows to include them in a table. The rows of data appear one below the other in the resulting table. All the columns in the two tables (common or uncommon) are also retained in the resulting table.
Data merger is used to combine tables with similar data derived from different sources.
Generally, when we merge tables, there is a common element (a column with the same variable) in them.
However, tables that do not have any common elements can still be merged. The variable values for the absent columns in individual tables are marked as 'na' in the combined table. Thus, neither the data is deleted nor omitted from the two tables.
Related Articles
Data Merge
Data Merge Description Data Merge involves the combining of two or more rows to include them into one table. Why to use For Data Preparation When to use When you want to merge two or more dataset tables into one table where at least one column is ...
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 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 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
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 ...