Google Data Analytics Professional Certification Practice Test

What is the result of proper data cleaning?

1. Increased size of data sets

2. Enhanced data accuracy and relevance

3. Reduced need for data visualization

4. Elimination of all data errors

The correct answer is: Enhanced data accuracy and relevance

Proper data cleaning plays a crucial role in ensuring that datasets are effective and reliable for analysis. The process involves identifying and correcting inaccuracies, removing duplicates, and addressing missing data, which collectively contribute to enhanced data accuracy and relevance. When data is clean, the insights derived from it become more trustworthy, allowing for better decision-making. In contrast, an increase in the size of datasets may occur due to various reasons such as adding more raw data, but this does not necessarily indicate that the data is accurate or useful. Reducing the need for data visualization is not a direct outcome of data cleaning; rather, cleaning enhances the visual representations by ensuring the underlying data is sound. While data cleaning aims to reduce errors, it's important to note that it may not lead to the complete elimination of all data errors due to the inherent complexities and evolving nature of data. Hence, the most accurate result of proper data cleaning is indeed the enhancement of data accuracy and relevance.