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5 cards from this section. Quick, good the night before a test.
What is accuracy in data, and why is it important?
Think about real-world applications of inaccurate data.
Give an example of incomplete data.
Consider any situations where you have seen incomplete forms before.
What does it mean for data to be accurate?
Consider what makes data trustworthy.
True or False: Completeness of data means there are no missing values.
Imagine a report missing key figures.
You are analyzing customer satisfaction data collected from surveys over the last two years. Some responses are missing and dated. Without taking actions, what impediments might arise in your analysis?
Reflect on the decisions dependent on clear, full insights.
Design a plan for ensuring the data collected in an upcoming survey remains accurate, complete, and relevant.
Think about steps to pre-emptively address data quality.
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