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What is the first step in the data analytics process?
a) Visualizing data
✔✔b) Defining the problem or question
c) Writing a report
d) Creating a dashboard
What is the purpose of data cleaning?
a) Collecting raw data
b) Building predictive models
✔✔c) Removing errors, inconsistencies, and missing values
d) Visualizing trends
What is a key benefit of data visualization?
a) Collecting large datasets
b) Building machine learning models
c) Reducing data volume
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, ✔✔d) Presenting insights in a clear and understandable format
What is the role of exploratory data analysis (EDA)?
a) Cleaning data for analysis
b) Defining the data analysis question
✔✔c) Summarizing main characteristics of data and identifying patterns
d) Generating final reports
Why is understanding data context important?
a) It simplifies calculations
b) It avoids the need for data cleaning
✔✔c) It ensures insights are accurate and relevant
d) It reduces storage requirements
What does correlation indicate in data analysis?
a) A causal relationship between variables
b) Random variations in data
✔✔c) A statistical relationship between variables
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