GUS R programming and Data Visualization Worksheet

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User Generated

User

Gurjbyir

Subject

Programming

School

Georgia Southern University

Question Description

I'm working on a r discussion question and need an explanation and answer to help me learn.

Select any example visualization or infographic and imagine the contextual factors have changed:

If the selected project was a static work, what ideas do you have for potentially making it usefully interactive? How might you approach the design if it had to work on both mobile/tablet and desktop?
If the selected project was an interactive work, what ideas do you have for potentially deploying the same project as a static work? What compromises might you have to make in terms of the interactive features that wouldn’t now be viable?
What about the various annotations that could be used? Thoroughly explain all of the annotations, color, composition, and other various components to the visualization.
What other data considerations should be considered and why?
Update the graphic using updated data, in the tool of your choice (that we’ve used in the course), explain the differences.

Unformatted Attachment Preview

Select any example visualization or infographic and imagine the contextual factors have changed: 1. If the selected project was a static work, what ideas do you have for potentially making it usefully interactive? How might you approach the design if it had to work on both mobile/tablet and desktop? 2. If the selected project was an interactive work, what ideas do you have for potentially deploying the same project as a static work? What compromises might you have to make in terms of the interactive features that wouldn’t now be viable? 3. What about the various annotations that could be used? Thoroughly explain all of the annotations, color, composition, and other various components to the visualization. 4. What other data considerations should be considered and why? 5. Update the graphic using updated data, in the tool of your choice (that we’ve used in the course), explain the differences. Be sure to show the graphic (before and after updates) and then answer the questions fully above. This assignment should take into consideration all the course concepts in the book. Be very thorough in your response. The paper should be at least three pages in length and contain at least two-peer reviewed sources. Book Information : Title: Data Visualisation ISBN: 9781526468925 Authors: Andy Kirk Publisher: SAGE Publications Limited Publication Date: 2019-10-07 Edition: 2nd ED. Expected Differences from Rshiny based interactive dashboards and static Cesias Chireb vu Formatted: Font: (Default) Times New Roman, 12 pt, Font color: Text 1 dashboard Cesias Chirebu Formatted: Font: (Default) Times New Roman, 12 pt, Font color: Text 1 Cesias Chirebu Formatted: Font: (Default) Times New Roman, 12 pt Font color: Text 1 The Rshiny package provides better tools such as HTML5 based form elements such as checkboxes for sending filter data through user-defined variables the Rshiny webserver. The Rshiny package provides the data analyst with HTML5 based components that can be used to send data to and from the Rshiny web server for real-time data analysis and interpretation. The image below shows the demonstration and usage of different methods and tools for displaying and visualizing data using the R language framework.-Be sure to show the graphic before and after updates) and then answer the questions fully above. This assignment should take into consideration all the course concepts in the book. Be very thorough in your response. The paper should be at least three pages in length and contain at least two-peer reviewed sources. Cesias Chirebu Formatted: Font: (Default) Times New Roman, 12 pt, Font color: Text 1 Cesias Chirebu Formatted: Font: (Default) Times New Roman, 12 pt, Font color: Text 1 Cesias Chirebu Formatted: Font: (Default) Times New Roman, 12 pt, Font color: Text 1
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Tags: R Programming data visualization static work

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Explanation & Answer

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Static visualization to Interactive design in R
The method of visualizing data has proven to be more effective in telling data stories than
textual representation hence tables, graphs, maps are now some of the most common
tools for data representation and description. The most common and effective
visualization tool for R is Rshiny for both interactive and web-based applications. The
Rshiny tool can be used to visualize the coronavirus data as information for tracking and
containment purposes. The coronavirus data application will provide insights into how
the coronavirus has affected the global population by the use of the leaflet application for
displaying the heat map showing the distribution of infected and affected individuals on
the map. A linear graph can be drawn of time against the number of daily infections to
show if there is an improvement in reducing the number of infection...