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To continue learning about data visualization, read sections 5 and 6 of Seeing & Understanding Data (PDF). Also, watch this video. Hans Rosling's 200 Countries,

To continue learning about data visualization, read sections 5 and 6 of Seeing & Understanding Data (PDF). Also, watch this video. Hans Rosling's 200 Countries, 200 Years, 4 Minutes - the Joy of Stats (YouTube 4:47) Complete the following for this assignment. Tasks 11, 12, and 13 are located in the Seeing and Understanding document. https://erau.instructure.com/courses/138988/files/28740880/download?verifier=oWUEfRnD4Ej9QDBAsSBvPd1aWk6DHW2qq24PrP7R&wrap=1 (Seeing&Understanding Link)https://youtu.be/jbkSRLYSojo (Video Link)Select and complete either task 11 or 12.Complete task 13.Re-play Rosling's visualization at your own speed.Explore the data for a single country by selecting it in the rightmost column.Write a paragraph about the story of the world when the dynamic data includes all countries and another paragraph about how the country you watched fits or deviates from that story.Give a careful description of the story told by the animation for all 200 countries and how the story of just a single country fits into the larger world picture.Include a screenshot of the final year in that single-country story.Use current APA formatting to cite your sources.

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Task 11 Review each of the seven gures shown in the previous sections, choosing two about which to write a paragraph comparing the data display with Tuftes list of graphical excellence qualities. 12 Another idea initiated by 'Ihfte is \"data-ink ratio.\" Data-ink is the part of the graph that cannot be erased without loss of data. For example, the Playfair Circle Graph in Figure 6 includes more gridlines than necessary to communicate the data story, thereby using too much ink on non-data. Keeping in mind all nine of the hallmarks of graphical excellence, review the other data displays in this project for ink that has been spent on nondata. Write a short description of each to describe the data-ink vs. non-data ink expended in the graphic. Support an opinion of the \"best\" graphic with reference to both graphical excellence and data-ink. 5.2 Data visualizations of the let century Informative and compelling displays of data in the 21st century are far less likely to require actual ink; instead, we might be concerned about data-pixels. The challenges of printing graphics on a press have been largely overcome as print has lost its place as the primary medium for information exchange. The demand for digital rather than physical pages has paralleled the technological advancements that have made the visual experience on a monitor nearly equivalent to the printed page. Numerous software packages that include the production of standard statistical displays oer nearly universal opportunity for users to create visual displays of data. Anyone can make a graph; the question of quality, however, remains. In the early 2000s, a new level of sophistication arrived to include more than bivariate data and even larger data sets. A pioneer {and engaging showman) in this area was Hans Rosling (19482017), who brought innovation to the display of public health data intended for a general audience. (a) Watch Rosling's 900 Countries, 20:? Years, 4', Minutes at https : ffyoutu .be/jkaRLYSojo. (b) Visit the Gapminder tool https :f/m.gapmindar.org/t ools/#$chart-type=bubbles online to replay Rosling's visualization at your own speed. Explore the data for a single country by selecting it in the rightmost column. Write a paragraph about the story of the world when the dynamic data includes all countries and another paragraph about how the one country you watched ts or deviates from that story. 6 Conclusion Erom the days when mathematicians preferred long lists of numbers to stande graphs at the click of a mouse (or tap of a screen), visualizations have transformed the way we communicate data. King Louis XVIs response to Playfairs work still rings true in the 21st century: \"they [speak] all languages and [are] very clear and easily understood\" (as quoted in [Spence and \"Tanner1 2001, p. 110]). One need not be a mathematician, statistician, or king to see and understand the story that data has to tell

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