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Questions and Answers
Which of the following best describes exploratory data analysis (EDA)?
Which of the following best describes exploratory data analysis (EDA)?
- A method for cleaning and organizing data before analysis
- A technique for predicting future outcomes based on historical data
- A process of summarizing data into a single value
- A process of exploring and understanding data sets using statistical and graphical methods (correct)
What is the purpose of exploratory data analysis (EDA)?
What is the purpose of exploratory data analysis (EDA)?
- To summarize data into a single value
- To clean and organize data before analysis
- To find patterns, anomalies, relationships, and insights from the data (correct)
- To predict future outcomes based on historical data
In the context of software analytics, what can EDA be used for?
In the context of software analytics, what can EDA be used for?
- Clean and organize software engineering data
- Visualize the distribution of software metrics (correct)
- Predict future software performance
- Summarize software metrics into a single value
What does EDA help in identifying in software metrics or performance indicators?
What does EDA help in identifying in software metrics or performance indicators?
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What is one of the benefits of performing EDA in data analysis?
What is one of the benefits of performing EDA in data analysis?
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