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4 cards from this section. Quick, good the night before a test.
What is the primary use of the Pandas library?
Think about how we structure large sets of data.
What does NumPy provide for data scientists?
Consider what kind of data we often handle.
What library is primarily used for data manipulation in Python?
Consider which library focuses on data structures.
True or False: Seaborn is a library used for data cleaning.
Think about the functionality of different libraries.
You have a dataset with missing values, how can you handle this using Pandas?
Look into common functions within the Pandas library.
Describe how you might visualize a comparative analysis of sales data over three years using Matplotlib and Seaborn.
Consider the types of graphs that best represent trends in data.
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