2.1.2 - Importance of Data Wrangling
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Practice Questions
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What is data wrangling?
💡 Hint: Think about how you would prepare data for analysis.
Why is data quality important?
💡 Hint: Consider the impact of errors in decision-making.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary purpose of data wrangling?
💡 Hint: Consider what happens to data before it is analyzed.
True or False: Data wrangling is only necessary for large datasets.
💡 Hint: Think of scenarios involving small datasets.
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Challenge Problems
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Imagine you have a dataset with a significant amount of missing values. Discuss strategically how you would approach data wrangling in this context, considering different techniques.
💡 Hint: Think about different scenarios of missingness and appropriate actions.
Assuming your model is showing many errors, outline the steps you would take related to data wrangling to troubleshoot and improve its performance.
💡 Hint: Consider how each aspect of data quality can affect model outputs.
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