Discuss real-world scenarios for which use of histograms and boxplots are better alternatives for data visualization. Provide at least one example for each.
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Discuss real-world scenarios for which use of histograms and boxplots are better alternatives for data visualization. Provide at least one example for each.
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- If you want to demonstrate that you grasp the distinctions between physical and schematic representations, you should offer some examples.If you want to show that you can differentiate between physical and schematic representations, provide some examples of both.With example, discuss the importance of graphical representation of data.
- To prove that you understand the difference between physical and schematic representations, please offer examples of both.Research the use of Gestalt laws in visual art like paintings or photography and discuss whether you see practical applications for data visualization design. Provide examples.You should include examples of both physical and schematic representations to show that you can tell them apart.
- Descriptive or prescriptive models are preferable, but which is better?Are there any notable differences between the benefits offered by the Vector Space Model (VSM) and the Latent Semantic Analysis (LSA)? Justify?Use real-world examples to illustrate the five most typical applications of computer-aided system design and modeling. Seek out scholarly articles for further information on how simulation might be used in real-world contexts. There is no need to address everything all at once.
- Interpret the data in each of the cases using 2 different nontechnical approaches, such as graphs, charts, or another type of visual presentation.To prove that you understand the difference between physical and schematic representations, show examples of each.If you could design email, what would it look like? How can an electronic mail message physically go from one place to another? Make a tally of everything you have discovered. Specifically, how are they different, and what motivated the decision to make those differences in the first place? We may safely assume that there is a wide range in the complexity of the models (or abstraction).