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Jonathan Quagliarello commented on the post, Weekly Question #11: Complete by April 30, 2018, on the site 6 years, 6 months ago
Data is everywhere and is rapidly becoming an integrative part of our lives. Learning to harness the power of data is vital for our society to succeed in the future. I would say to a future MIS0855 scholar that this course is about learning how to use data to effectively to solve problems.
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Jonathan Quagliarello commented on the post, Weekly Question #9: Complete by April 16, on the site 6 years, 7 months ago
Sports Injuries
Jonathan Quagliarello, RIchard Beckman, Khuong Tang, Claudio
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Jonathan Quagliarello commented on the post, Weekly Question #8: Complete by April 9 class start, on the site 6 years, 7 months ago
I think this article is interesting because of the way the way the data is presented. The article goes on to describe the difference in gender pay gap in the U.K. and illustrates a chart showing woman’s median…[Read more]
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Jonathan Quagliarello commented on the post, Weekly Question #7: Complete by March 26, 2018, on the site 6 years, 7 months ago
Heart beat per minute monitor. Heart beats per minute are specific and they are measurable. It is achievable– I can monitor my fitness and decide to get into better shape to lower my heart rate. It is relevant– my heart rate is a direct correlation to my health and well being. It is time variant- I can look at changes in my heart rate over X…[Read more]
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Jonathan Quagliarello commented on the post, Weekly Question #6: Complete by March 19, on the site 6 years, 8 months ago
It is vital to use the correct data type in order to avoid data corruption. I often accidentally use the wrong data type when using a type of software that relies on accurate inputs. It is an easy mistake to type a number that’s an integer as a string or vice versa. It is often a beginners mistake, but mistakes can still occur even if you’re an…[Read more]
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Jonathan Quagliarello commented on the post, Weekly Question #5: Complete by March 12, 2018, on the site 6 years, 8 months ago
https://www.economist.com/blogs/graphicdetail/2018/03/daily-chart-2
Since 1950, plastic that has not been recycled or burned has amounted to roughly 4.9 billion tons. Most of that plastic could have been dumped on land in an area the size of Manhattan. Instead, most of that plastic is in the ocean and is not easy to clear. Some computer models…[Read more]
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Jonathan Quagliarello commented on the post, Weekly Question #4: Complete by Feb 19, on the site 6 years, 9 months ago
In my opinion, the most important data visualization principle is to be skeptical. Few is correct in stating that most people accept the first answer provided in a data set because it is difficult to accurately perform data analysis on their own. Data can easily be manipulated and anyone can use data in multiple ways to prove their own…[Read more]
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Jonathan Quagliarello commented on the post, Weekly Question #3: Complete by Feb. 12, on the site 6 years, 9 months ago
The sports industry has become extremely affected by data science. Unlike the past, General managers in all major sports are not solely relying on scouts evaluating talent. Instead complex algorithms are now created to find talented players that may not catch the eye of the average scout. It is now also possible to create incredibly complex…[Read more]
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Jonathan Quagliarello commented on the post, Weekly Question #2: Complete by Feb. 5, 2018, on the site 6 years, 9 months ago
I chose this article because I think Anheuser-Busch created the best marketing campaign I have ever seen. Budweiser is all in on “Dilly Dilly” and the toast has now become a social media catchphrase. Budweiser’s market share has been slowly…[Read more]
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Jonathan Quagliarello commented on the post, Weekly Question #1: Complete by Jan. 29, 2017, on the site 6 years, 9 months ago
In the news today, there is always headlines about immigrants committing major crimes. It is true that some immigrants commit crime, but do immigrants actually commit more crimes than the average American citizen? If I wanted to discover this answer I would collect data from a large diverse pool of Americans and an equally large diverse pool of…[Read more]