Q: A data analyst is starting a large scale project. The project will be crucial to business success and the data analyst needs to keep the big picture at the forefront when verifying their data cleaning. What is the first step in the verification process?
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Q: A massive project is about to begin for a data analyst. The project will be essential to the company’s performance, thus while confirming their data cleansing, the data analyst must remember the larger picture. What is the verification process’s first step?
- Create a chronological list of modifications made to the data
- Compare cleaned data with the original, uncleaned dataset and compare it to what is there now
- Inform others of the data-cleaning effort
- Determine the quality of the data
Explanation: The first thing a data analyst should do in the verification process is make sure the data are full and accurate before moving on to the next phase. This entails verifying the general structure of the dataset as well as checking to see whether all of the anticipated data has been included, confirming that there are no missing values, and checking for any missing data. It is a necessary action to do to guarantee that the data are prepared for analysis and are by the overarching objectives of the project.
