Which ones are the type of visualization used for Data exploration in Data Science?

Which ones are the type of visualization used for Data exploration in Data Science?

A. Heat Maps

B. Newton AI

C. Feature Distribution by Class

D. 2D-Density Plots

E. Sand Visualization

View Answer

Answer: A, C, D

Explanation:

For data exploration in Data Science, visualizations are used to understand the underlying patterns, relationships, anomalies, and distributions in the data. Among the given options:

A. Heat Maps – Correct. Heat maps are used to represent data values using colors. They can visualize the distribution of values across two dimensions, making them useful for understanding correlations or patterns.

C. Feature Distribution by Class – Correct. This visualization displays the distribution of a feature (or multiple features) for different classes. It can be helpful in classification problems to understand how features vary across classes.

D. 2D-Density Plots – Correct. These plots are a way to represent the distribution of two continuous variables, usually with contour lines or color-coded regions. It helps in visualizing where data points are concentrated.

B. Newton AI – Incorrect. Newton AI is not a type of visualization. It might refer to an AI platform or product, but it’s not a visualization method used in data exploration.

E. Sand Visualization – Incorrect. This isn’t a recognized standard type of visualization in Data Science.

So, the correct answers are A, C, and D.