Data Visualization
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The document discusses an assignment on the use and abuse of data visualization, exploring its benefits such as pattern discovery and aiding decision-making, as well as its downsides like potential data exclusion and manipulation. It emphasizes that while data visualization can simplify complex information, it may also lead to misinterpretations and lack of comprehensive understanding. Students are instructed to create a presentation incorporating these points, while retaining all original slides.
Data Visualization
- 1. Freddy Agredo CEN4722 – Assignment 6 Use and Abuse of Numbers
- 2. CEN4722 – Assignment 6 Instructions Assignment 6 - Page 277 Please read Box 8.1: Use and abuse of numbers on Page 277 view the video on Data visualization. Will data visualization help us make better decisions? What are the downsides? You may add slides to this presentation and include graphics and pictures, but please do not delete any of the slides.
- 3. CEN4722 – Assignment 6 Will data visualization help us make better decisions? Justify your response: 1. It contributes to discovering a pattern of possible future scenarios to justify an action, or to adapt quickly to a tendency 2. Data graphics is easy to read then it helps to change the perspective of a problem 3. The figures of data visualization can also be connected to other figures to make a bigger picture of a situation 4. It squeezes large amounts of data into small presentations easy to understand 5. Data visualization provides a new elegant and quick solution to solve problems 6. Excellent tool for perception of a problem with statistical numbers
- 4. CEN4722 – Assignment 6 What are the downsides? Please list below: 1. To create those graphics valuable data could be excluded, and other not relevant included to preserve the visualization 2. Data visualization does not draw conclusions 3. Data visualization does not show causes 4. The conclusions based on data visualization are based on preconceived ideas of size, and proportions that the original data collector used to prove its point 5. Same as statistics, data can be manipulated, and graphics could mislead in a wrong context, even with no bad intention 6. Due to the nature of the graphic presentation and the exclusion of raw data people perceives the information given in the same way. No discrepancy is possible.
- 5. Sources: McCandless, David. "Ideas, Issues, Knowledge, Data - Visualized!" Information Is Beautiful. David McCandless, 01 Jan. 2012. Web. 07 Nov. 2015. <http://www.informationisbeautiful.net/>. McCandless, David. "The Beauty of Data Visualization." TED Talks. TED Global, 01 July 2010. Web. 07 Nov. 2015. <http://www.ted.com/talks/david_mccandless_the_beauty_of_data_vi sualization?language=en>. Preece, Jenny, Yvonne Rogers, and Helen Sharp. "Data Analysis, Interpretation, and Presentation." Interaction Design: Beyond Human- Computer Interaction. 4th ed. Chichester: John Wiley & Sons, 2015. 277. Print.