Question 7
You are working on a machine learning project that aims to predict housing prices based on various features of the houses. As the first step, you decide to perform exploratory data analysis and visualize the data to understand its structure and relationships. Which of the following visualization techniques or principles is LEAST likely to provide meaningful insights for this kind of regression problem?
Plotting a heatmap of the correlation matrix to understand the linear relationship between the numeric features.
Using a scatter plot to visualize the relationship between the square footage of a house and its price.
Visualizing the distribution of housing prices using a pie chart.
Creating box plots for housing prices, grouped by the number of bedrooms, to detect outliers and understand the distribution across different categories.