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3 cards from this section. Quick, good the night before a test.
What is the purpose of data analysis?
Think of what we do with data before making decisions.
Name two types of visualizations used in data analysis.
These tools help in seeing patterns or trends.
What does data exploration primarily aim to uncover?
Think about what you want to find in large datasets.
True or False: Correlation implies causation.
Remember the classic saying: correlation does not equal causation.
Given a dataset with daily website traffic and corresponding sales data, analyze the data to determine if there's a correlation and suggest why this might be important.
Look for patterns in how traffic influences sales figures.
You are presented with anomalies in sales data indicating a sudden spike. Analyze potential reasons for this and how you would investigate further.
Consider historical sales data and any promotional efforts.
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