To detect languages in a column

1. Right-click the column and select Language detection  transform from the context menu.

2. Provide a name to the resultant column in the New column name section. 

3. Select the type of output required. As the option name suggests, Language name will render the name of the language as the output, and Language code will render the code of the language.

4. For example, selecting the Language name will give 'English' as the output for an English text , and Language code for an English text will give 'en' as the output. 

5. DataPrep shows a live preview of the column during the transform. You can click the Preview button at the bottom of the side panel to preview the output column.

6. You can apply this transform to only one column. Click the Apply button to apply this transform.

1. Actual: This option lets you filter rows based on the actual values in the column. Click here to know more.
2. Data quality: This option lets you filter rows based on the quality of data in the column. Click here to know more.
   
3. Patterns: This option helps you filter rows based on the data patterns in the selected column. Click here to know more.
4. Seasonal: This option helps you filter rows based on the seasonal parameters such as quarter, month, week, etc. Click here to know more.
   
5. Outliers: This option allows you to filter rows based on the outliers present in the data of the selected column. Click here to know more. 

1. Using the logical operators, you can combine the conditions and apply logic to determine the rule of precedence. The final expression is displayed in the  Criteria expression  box. You can click  Edit  to alter the default expression using logical operators and parenthesis to specify the precedence or the sequential order as to which condition should be evaluated first. Click  Save  after making the required changes. 
   

1. For example, In the expression, ((1 OR 2) AND (3 OR 4)) , at first the condition ( 1 OR 2 ) will be executed and the condition ( 3 OR 4 ) will be executed next. Thirdly, since, the AND operator is used, the filter will be applied when both the conditions are true.

For example, in the above screenshot, the  Data quality  option is selected for the All columns filter in the  Filters section. Based on the selection, further options to filter specific values are displayed in the  All columns (Data quality) section.

6. You can choose to include or exclude the selected items in the last section.

7. If you want to remove all the filters for some reason, you can use the  Clear  button.

8. A live preview of the filter transform is shown as you make changes. 

9. Click the  Apply  button to apply the transform along with the filters.

To sort data

Under the Sort tab, you can sort data in the ascending or descending order based on any column. You can choose the column in the Sort by column drop down and choose the order to be sorted. 

You can use this functionality only with the transform and not as a standalone function. However, you can use the Sort transform if you want only to sort data.