Which of the following statements are true about using visualizations to display a dataset?
I. Visualizations are visually appealing but don’t help the viewer understand relationships that exist in the data II. Visualizations like graphs, charts, or visualizations with pictures are useful for conveying information, while tables just filled with text are not useful.
III. Patterns that exist in the data can be found more easily by using a visualization
I and II
II and III
I, II, and III
III only
The correct answer and explanation is :
The correct answer is II and III.
Explanation:
Statement I: “Visualizations are visually appealing but don’t help the viewer understand relationships that exist in the data.”
This statement is false. Visualizations are not only visually appealing but also highly effective at helping the viewer understand relationships and patterns in the data. By presenting data visually, patterns, trends, and outliers become much easier to identify compared to looking at raw data in tables. For example, a scatter plot can reveal correlations between two variables that might be hidden in a long list of numbers. Therefore, visualizations do help in understanding relationships within the data.
Statement II: “Visualizations like graphs, charts, or visualizations with pictures are useful for conveying information, while tables just filled with text are not useful.”
This statement is true. Visualizations such as graphs and charts condense complex data into formats that are easy to interpret. They enable quicker insights, as they highlight trends and relationships at a glance. Tables filled with raw data, on the other hand, require more cognitive effort to interpret and often fail to provide an immediate sense of the data’s underlying patterns. Visualizations like bar charts, line graphs, and pie charts can show proportions, distributions, and trends more effectively than tables.
Statement III: “Patterns that exist in the data can be found more easily by using a visualization.”
This statement is true. One of the primary advantages of visualizations is their ability to make patterns in the data more visible. For example, a line chart can reveal a trend over time, a heatmap can show the density of data points, and a histogram can illustrate the distribution of a variable. Visualizations reduce the cognitive load required to extract insights and help identify relationships that may not be immediately obvious in raw numerical data.
Conclusion:
Therefore, II and III are correct. Visualizations serve as powerful tools for not only making data more accessible but also for revealing insights and patterns that might otherwise be missed.