Exploratory Data Analysis (EDA)
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Questions and Answers

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)?

  • 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?

  • 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?

    <p>Outliers or anomalies</p> Signup and view all the answers

    What is one of the benefits of performing EDA in data analysis?

    <p>Guides the choice of further analysis or modeling techniques</p> Signup and view all the answers

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