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How does it work in the search window?
Select Create column in the search window toolbar, then select the Rounding operation. You need to specify at least one argument:
Argument | Data type |
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Number to round mandatory | integer, float |
Decimal precision | integer |
The data type of the values in the new column is integer or float, depending on the selected input data.
Example
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The examples in this article use values in a data table generated from the following CSV file. Ui button | | |
title | Download CSV file here | url | https://drive.google.com/uc?export=download&id=1OfvPMy0PoTnlMWVJEwhjJE3TjjslJTGl
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If you want to try the example for yourself, download the file and upload it to your domain by clicking Data upload in the navigation panel. Name the new table my.upload.sample.data
and select Current date as Date parsing type. Learn more about uploading data in Uploading log files.
After receiving the confirmation message, you can access the table from the Finder, selecting my → upload → sample → data. When you upload data from a file, all the information is included in a single column called message. To split the values into different columns, you can use the Split operation. Click Toggle Query Editor in the search window toolbar and paste the following LINQ query to save time:
from my.upload.sample.data
select split(message, ";", 16) as numbers,
float(numbers) as numbers_float
In the my.upload.sample.data
table, we want to round the values in the numbers_float column field of our table to one decimal place. To do it, we will create a new column field using the Rounding operation.
The arguments needed to create the new column field are:
Number to round - numbers_float columnfield
Decimal precision - Click the pencil icon and enter 1
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Click Create columnfield and you will see the following result:
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round(number)
round(number, integer_decimals)
Example
You can copy the following LINQ script and try the above example on the my.upload.sample.data
table.
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from my.upload.sample.data select split(message, ";", 16) as numbers, float(numbers) as numbers_float, round(numbers_float, 1) as numbers_float_rounding |