Module # 7 assignment (Visual Analytics)

 

In this example, I've created two scatter plots, one for mpg vs. hp and another for mpg vs. wt, using mtcars and arranged them in a grid using the grid.arrange function. 

My opinion on Few's recommendations. 

Simplicity:  Few emphasize simplicity to avoid overwhelming the audience. The scatter plots are relatively simple, displaying two variables at a time (mpg vs. hp, mpg vs. wt). This simplicity aids in easy interpretation without unnecessary complexity.

Clarity: Is a key principle in Few's recommendations. The use of grid arrangement helps in comparing the two scatter plots side by side, making it easier for viewers to identify patterns and differences between the variables.

Accuracy: This is crucial, and Few often advocate for accurate representation of data. The scatter plots accurately represent the relationship between variables, allowing viewers to make informed observations about the distribution and correlation.

Color Usage: Few often advise against unnecessary use of color, especially for categorical data. In these scatter plots, color hasn't been used. However, depending on the context, adding color judiciously for categorical variables might enhance the interpretation. It could be disputable if color is used without a clear purpose.

Annotations and Titles: Few recommend providing clear titles and labels. The titles in the scatter plots clearly indicate the variables being compared (mpg vs. hp, mpg vs. wt), contributing to the overall clarity of the visualizations.

Grids and Axes: The use of grid layout enhances the comparison between scatter plots. It allows viewers to focus on each comparison individually while still maintaining a structured layout. Properly labeled axes contribute to the overall clarity and accuracy of the visualizations.

In summary, Few's recommendations, particularly regarding simplicity, clarity, and accuracy, align well with the design of the scatter plots. The grid layout is effective in this case, aiding in the comparison of different variable combinations. Therefore Few's recommendations are helpful in this example.