5-1 Exercise Presentation and Visualization of Data
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5-1 Exercise: Presentation and Visualization of Data
5-1 Exercise: Presentation and Visualization of Data
Austin Njoku
Southern New Hampshire University
DAT-530-Q1238 Present & Visualize Data 23TW1
Ali Motamedi
October 21, 2023
5-1 Exercise: Presentation and Visualization of Data
Audience-Specific Visualizations
I have chosen to utilize the data set that I selected during the Module 4 exercise, along
with two of the audience-specific visualizations that I developed for this task. I will design
three unique visualizations for each of these visuals, utilizing position, shape, and color as
examples. In addition, I will provide a written report that outlines the pros and cons of each
visualization.
These are the chosen representations:
Engineer's technical histogram.
Days on average that investors spend manufacturing cars.
Position cues
This image was initially created for engineers to assess the damage sustained by
individual units during crash tests. As seen in the previous assignment, the main message is
directed towards this group because the previous two audiences are unable to comprehend or
make use of the specialized technical knowledge being presented. The histogram shows that
the number of damaged units is heavily skewed to the right. Although there is some variation
for numbers above and below 151,079, the vast majority of units damaged during the crash
testing were under that threshold. Therefore, we need to move this visualization and take a
closer look at the information below this level. As shown below, the updated histogram
provides a thorough analysis of the sub-151,000-unit distribution of the afflicted population.
Although the data is still skewed to the right, the new visualization offers greater insight by
allowing for a more fine-grained breakdown of the groupings and the frequencies that fall
within them.
5-1 Exercise: Presentation and Visualization of Data
The second visualization created for potential investors was a line chart that depicted
the average number of days it took to produce a car. Position cues can be established in
various ways, one of which is by setting time constraints. For example, investors only trust
investment options where the manufacturing time is less than three years. Since 1095 days or
3 years equal one year, we can set a limit on the graph. The average time it took to
manufacture a car in recent years did not exceed the time frame that investors were looking
for a return. However, between 2008-2010, the duration was longer than anticipated, likely
due to a financial crisis. Therefore, financiers can infer that the current financial crisis in the
automobile sector will increase the median length of time it takes to produce a product.
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5-1 Exercise: Presentation and Visualization of Data
Shapes Cue
Microsoft Excel has a wide range of built-in shapes, such as geometrical solids,
arrows, stars, and other visualizations. These shapes can be used to highlight specific data
points. For example, if we need to emphasize the number of affected units in a specific
classification, we can use a labeled arrow. We can also provide the total number of affected
units after this classification. Out of all accident tests, around one-third had a number of
affected units lower than 1336, and approximately two-thirds had a number of affected units
greater than or equal to 1336.
5-1 Exercise: Presentation and Visualization of Data
In the second example, we can use rectangles to represent good and bad investment
decisions. Good results fall within the control limit, while bad results exceed it.
Color Cue
Using color as a visual cue is crucial for creating a polished presentation. While color
distinction is not necessary for the two chosen types of visualizations, applying certain styles
can make them more robust.
5-1 Exercise: Presentation and Visualization of Data
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5-1 Exercise: Presentation and Visualization of Data
After these changes, the message is now more visually appealing and relevant to the
target audience.
Reference
Data. (2023). Retrieved from
learn.snhu.edu.xlsx (live.com)
Recalls | NHTSA
. (n.d.). NHTSA.
https://www.nhtsa.gov/recalls