Summary
In this chapter, we delved into the fundamentals of data cleaning and explored key principles to consider when cleaning data. Data cleaning is a crucial step in the data preparation process, as the quality of the data greatly impacts the accuracy and reliability of analyses and decision-making.
You learned about seven key principles when it comes to planning and preparing to clean your data, which not only provide best practices but also document the impact you’ve had on that data or the business.
In the next chapter, we will dive into the practical aspect of data cleaning using Power BI. You will be following along as we go through the most common data cleaning steps within Power BI, providing hands-on experience to clean and transform data for improved quality and usability.
