Esri ArcGIS Pro Associate Pro Certification Practice Exam

Which of the following actions is part of data cleaning?

1. Transforming data formats

2. Collecting raw data

3. Correcting spelling errors

4. Visualizing data relationships

The correct answer is: Correcting spelling errors

Data cleaning is a crucial step in the data preparation process, aimed at improving the quality and accuracy of data before analysis. Correcting spelling errors is a fundamental aspect of data cleaning because it ensures that the data is consistent and reliable. Inaccurate or inconsistent data entries, such as misspelled names or locations, can lead to problems in analysis and result in misleading conclusions. Addressing these errors enhances the integrity of the dataset and facilitates accurate data analysis and decision-making. Transforming data formats, while important, falls more into data transformation rather than data cleaning itself. Collecting raw data refers to the initial stage of data gathering, which is separate from the cleaning process. Visualizing data relationships is a method used to explore and understand data rather than an activity within the data cleaning phase. Thus, correcting spelling errors is a clear and direct action that aligns with the goals of data cleaning, emphasizing the importance of data quality.