Data wrangling, also known as data cleaning or data preprocessing, is the process of transforming raw data into a format that is more suitable for analysis . This is an important step in any data-driven project, as it ensures that the data being analyzed is accurate, complete, and relevant to the problem at hand. Microsoft Azure provides a range of tools and services that can be used to perform data-wrangling tasks. In this blog post, we will provide an overview of what data wrangling is and how to do it in Azure. What is Data Wrangling? Data wrangling is the process of transforming raw data into a format that is more suitable for analysis. This involves several steps, including cleaning, transforming, and integrating data from various sources. Cleaning: This step involves removing any duplicate or irrelevant data, correcting any errors, and filling in missing values. Transforming: This step involves converting the data into a format that is more suitable for analysis. ...
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