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Ryan Eckersley commented on the post, Weekly Question #11: Complete by April 30, 2018, on the site 6 years, 6 months ago
The most important thing that I learned from this class would be that data is everywhere and affects our daily lives.
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Ryan Eckersley commented on the post, Weekly Question #10: Complete by April 23, on the site 6 years, 6 months ago
A data-driven service that I use regularly is Instagram. If I was to store this data, a row would be the user. The columns would be followers, following, likes, and pictures.
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Ryan Eckersley commented on the post, Weekly Question #8: Complete by April 9 class start, on the site 6 years, 7 months ago
This article talks about how data analytics affect business growth. This article was interesting to me because it showed how analyzing data can improve the growth of a business. It first started off talking about having a plan on how the business will be able to grow…[Read more] -
Ryan Eckersley commented on the post, Weekly Question #7: Complete by March 26, 2018, on the site 6 years, 7 months ago
One KPI that I use everyday would be my GPA. This tells me my grades in school and how I am doing. It is measurable because it is a number that is the average of all my grades. Also, it is achievable because I can try to get a better GPA than what I already have. It is relevant because I am a student and need a good GPA to graduate and get a job.…[Read more]
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Ryan Eckersley commented on the post, Weekly Question #6: Complete by March 19, on the site 6 years, 8 months ago
I have not used Excel too much except for some times in high school and in this class. I can see how all of the mistakes in “Stupid Data Corruption Tricks” can corrupt the data being used. I believe that the most common mistake would have to be opening a CSV file directly into Excel. By doing so, it can change the data and turn it into different…[Read more]
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Ryan Eckersley commented on the post, Weekly Question #5: Complete by March 12, 2018, on the site 6 years, 8 months ago
Opportunities for Big Data to Improve Energy Usage Across Industries
This article talks about how data can be used to improve energy usage all across the country. Today, there are tons of places where data comes from, and people take this data and see how they can use it. I believe that there is data about energy…[Read more] -
Ryan Eckersley commented on the post, Weekly Question #4: Complete by Feb 19, on the site 6 years, 9 months ago
I think the most important principle is to simplify. This is because it will simplify all of the data so it becomes easier for the user. When there is too much data that is tried to be put in the same visualization, everything will be confusing. Once simplified, the data can be used to complete the rest of the principles and to capture the best…[Read more]
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Ryan Eckersley commented on the post, Weekly Question #3: Complete by Feb. 12, on the site 6 years, 9 months ago
The industries that I believe are most affected by data science would have to be the investing industry and marketing industry. Both of these industries deal with data science and are significantly affected by data science. Investing includes looking at all the data and making a decision whether or not to invest in what is being looked at. For…[Read more]
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Ryan Eckersley commented on the post, Weekly Question #2: Complete by Feb. 5, 2018, on the site 6 years, 9 months ago
https://www.forbes.com/sites/baininsights/2018/01/22/breathing-new-life-into-life-insurance/#7b4e39a04819
I chose this article because it is about life insurance and the price increase over the years. I think this article is interesting because even though insurance companies are trying to reduce the price of their plans, the cost is still rising…[Read more] -
Ryan Eckersley commented on the post, Weekly Question #1: Complete by Jan. 29, 2017, on the site 6 years, 9 months ago
Conventional wisdom is a very common thing, which is a statement that is accepted by people, even though there are no tests proving or disproving it. An example of this would be “you will get sick if you go outside in the cold without a jacket.” The data I would collect to test this statement would be getting a group of healthy people and having…[Read more]