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Examine the above code with respect to structuring and organizing the data. What visualization should our program generate to communicate an understanding of the data most clearly?

(1 point)
Responses

point plot where each “point” has a size that represents the pair (PIN size, search time in years), and the size of each point depicts the search size
point plot where each “point” has a size that represents the pair (PIN size, search time in years), and the size of each point depicts the search size

graph of two curves on an X-Y plot, one relating PIN size to search size and the other, PIN size to search time, where the y-axis measures time (in units of a week)
graph of two curves on an X - Y plot, one relating PIN size to search size and the other, PIN size to search time, where the y -axis measures time (in units of a week)

point plot of points on X-Y axes where the x-axis represents search size, and the y-axis represents search time (in months)
point plot of points on X - Y axes where the x -axis represents search size, and the y -axis represents search time (in months)

bar graph where the y-column represents search size and search time (in units of a week), and the x-column represents PIN size

1 answer

To choose the most effective visualization for communicating an understanding of the data with respect to structuring and organizing, we need to consider a few key factors:

  1. Relationships in Data: We need to determine what relationships are important to show between the variables, specifically PIN size, search size, and search time.

  2. Representation of Data Types: We also need to note the types of the data being visualized—continuous variables (like size and time) might be better suited to certain types of plots compared to categorical data.

  3. Clarity and Insights: The intended audience and the clarity of insights the visualization can deliver should be prioritized. We want a display that succinctly conveys the comparison or relation between key variables.

Here's an analysis of the options provided:

  1. Point plot (size based on PIN size and search time): This could show the relationship between PIN size and search time, but the representation through size might be harder to interpret accurately without additional context or complexity.

  2. Graph of curves (PIN size to search size and PIN size to search time): This type of visual could effectively communicate trends over the range of PIN sizes. Using the y-axis for time (in weeks) offers a clear, temporal notion that can enhance understanding.

  3. Point plot (search size on x-axis and search time on y-axis): This straightforward scatter plot could effectively show the relationship between search size and search time. It would be most useful if the goal is to analyze how one impacts the other directly.

  4. Bar graph (search size and search time against PIN size): While this plot could effectively compare the dimensions, bar graphs are typically used for categorical comparisons, while the data described seems more continuous in nature.

Given these considerations, the most effective choice among these options would likely be the graph of two curves on an X-Y plot, as it is clear in showing the relationship between PIN size and both search size as well as search time, allowing for a comparison of trends across different segments. This format can provide insights into how changes in one factor could likely relate to changes in another, facilitating a clearer understanding for the audience.

Therefore, the best choice is:

Graph of two curves on an X-Y plot, one relating PIN size to search size and the other, PIN size to search time, where the y-axis measures time (in units of a week).