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Explanation: Seaborn is a powerful Python library built on Matplotlib, designed specifically for statistical visualization. It simplifies creating complex plots like violin plots, heatmaps, and pair plots, which are essential for understanding relationships, distributions, and correlations in data. Seaborn’s high-level interface and themes make it easier to create visually appealing plots suitable for data storytelling. For instance, a heatmap generated with Seaborn provides immediate insights into correlations between variables, a crucial aspect of exploratory data analysis. Option A: NumPy handles numerical operations and array processing but does not focus on visualization. Option B: While pandas is excellent for data manipulation, its plotting capabilities are basic. Option C: Matplotlib provides general-purpose plotting but lacks the simplicity and aesthetics of Seaborn for statistical plots. Option E: SciPy focuses on advanced scientific computation, not visualization.
Codes consisting of lines of varying widths or lengths that are computer-readable are known as-
Reusable optical storage will typically have the acronym-
If you wish to extend the length of the network without having the signal degrade, you would use a _______.
Which of the following is not anti- viruses’ software?
Fourth generation of computer system is based on ?
Which component of the CPU is responsible for fetching and decoding instructions from memory?
ISDN stands for_________.
How many basic logic gates exists?
What keyword is used in Java to manually bring in the exceptions?
.......... is the key we use to run the selected command.