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Loading and Exploring Sample Datasets. Now that we have a basic understanding of data analysis concepts and have set up our Python environment, it's time to start analyzing data. In this section, we ...
Discover how to handle large datasets in Python efficiently. Learn about libraries, data sampling, storage formats, and parallel processing for optimal speed.
Load the Iris dataset using Seaborn. Display the first 10 rows of the dataset. Show the column names and data types. Hint: Use seaborn.load_dataset('iris') to load the dataset. Apply .head(10) on the ...
In this assignment, we got practice loading a large dataset into Python and then answering questions about the dataset using Python with the Jupyter interface, which is a common way to explore a new ...
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