The correct answer is: B. Seaborn
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.
Seaborn is built on top of matplotlib, but provides a number of features that make it easier to use for data visualization. For example, Seaborn provides a number of predefined styles that can be used to quickly create attractive visualizations. Seaborn also provides a number of functions for creating common types of visualizations, such as line plots, bar charts, and scatter plots.
Seaborn is a popular choice for data visualization in Python. It is used by a number of data scientists and statisticians, and is also used in a number of popular data science libraries, such as pandas and scikit-learn.
Here are some examples of visualizations that can be created using Seaborn:
- Line plots: Line plots are used to visualize the relationship between two variables. For example, a line plot could be used to visualize the relationship between the number of hours a student studies and their GPA.
- Bar charts: Bar charts are used to compare the values of two or more variables. For example, a bar chart could be used to compare the salaries of different professions.
- Scatter plots: Scatter plots are used to visualize the relationship between two continuous variables. For example, a scatter plot could be used to visualize the relationship between the height and weight of people.
Seaborn is a powerful tool for data visualization in Python. It provides a number of features that make it easy to create attractive and informative visualizations. Seaborn is a popular choice for data visualization in Python, and is used by a number of data scientists and statisticians.
The other options are incorrect because they are not foundational exploratory visualization packages for the R language in pandas ecosystem.
- A. yhat is a statistical modeling and machine learning library for the R language.
- C. Vincent is a Python library for statistical visualization.
- D. None of the mentioned