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.
In the following question, select the odd one from the given alternatives.
Four number-pairs have been given, out of which three are alike in some manner and one is different. Select the number-pair that is different.
Select the odd letters from the given alternatives?
Find the odd one out.
A, E, I, L, Q, U
In each of the following questions, a group of four words / letters /numbers are given. Choose which is odd?
Find the odd one out.
Four numbers have been given, out of which three are alike in a certain way and one is different. Select the one that is different.
Four letter-clusters have been given, out of which three are alike in some manner and one is different. Select the letter-cluster that is different.
Three of the following four letter-clusters are alike in a certain way and one is different. Pick the odd one out.
Odd one out
