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2 cards from this section. Quick, good the night before a test.
What does Pandas primarily help with?
Think of the main functions provided by the library.
What library would you use for numerical operations?
Remember Numpy focuses on numeric data processing.
What type of analysis shows what has happened in the past?
Think about what you would look at to review past performance.
True or False: Matplotlib is used for numerical computing.
Recall the primary functions of each library we talked about.
Given a dataset of students with their scores in different subjects, you observe many missing values. Explain a systematic approach to clean this dataset in Pandas.
Think about the implications of each cleaning decision.
Create a visualization in Matplotlib that compares student performance across different subjects, but the dataset contains duplicate entries as well. Outline your steps.
Remember to address data integrity before visualizing.
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