• Round up : Rounds the value to the nearest whole value that is greater than the current value, i.e., 1.3 is rounded to 2, and 1.8 is also rounded to 2.

• Round down : Rounds the value to the nearest whole value that is less than the current value, i.e., 1.3 is rounded to 1, and 1.8 is also rounded to 1. 

• Default : Rounds the value to the nearest integer. This means that the value is rounded up if the value after the decimal point is greater than or equal to 5 and down if the value after the decimal point is less than 5, i.e., 1.3 is rounded to 1, while 1.8 is rounded to 2.      

      3.  You can apply this transform to multiple columns. Select the columns using the   icon under Columns to apply. 

To apply filters

2. Click the   icon and add the required columns in the  Filters  section. You can also reorder the filters using the drag and drop method.

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. 

Note: The filter options are displayed based on the datatype of the column added for the filter.

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.

SEE ALSO

How to use functions to round off values?

Learn about the available window functions