Why These Visualizations Were Chosen for Your Data

Given the nature of your datasets, which include both numerical and categorical variables, the following visualizations were appropriate:

1. Scatter Plots and Pair Plots:

• Your dataset includes multiple numerical variables (clnt_age, clnt_tenure_yr, bal, num_accts, etc.).

• Pair plots allow for a comprehensive visualization of relationships between all pairs of numerical variables.

2. Correlation Matrices:

• Useful for quantifying the strength and direction of linear relationships between numerical variables.

• Complements the visual inspection provided by scatter plots and pair plots.

3. Box Plots:

• Appropriate for comparing numerical variables across categories (e.g., bal vs. gendr).

4. Contingency Tables and Chi-Square Tests:

• Necessary for exploring relationships between categorical variables (e.g., gendr vs. num_accts).