This document provides an overview of data cleaning techniques using Toric's Dataflow. The process includes removing empty columns and rows, cleaning up individual columns, editing and renaming columns, filling empty cells, promoting headers, and removing duplicates. The guide also offers tips and tricks for better organization and naming conventions.

Remove Empty

This Node allows users the ability to:

• Remove Empty Columns
• Remove Empty Rows
• Ignore Zeroes

1. When working with a single Dataset, it is important to clean up any columns that do not have any relevant content.

1. Add the Remove Empty node to clean up any extra information.

Clean Up Columns

This Node helps clean individual columns, providing functionality to perform various cleaning steps on the column, such as

• Fill Empty Values
• Trim Whitespace