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Colin Mea commented on the post, Weekly Question #8: Complete by April 9 class start, on the site 6 years, 11 months ago
This article by FiveThirtyEight takes a look at the Facebook data scandal, and how people feel about their personal information. A survey collected that 91% of adults thought that consumers had lost control on how companies collect information. It…[Read more] -
Colin Mea commented on the post, Weekly Question #6: Complete by March 19, on the site 6 years, 11 months ago
I have not made any of these mistakes, as I have little experience with data. However, I believe that number 3, Start working on the database without doing a full backup first, is the most important to avoid. From my work in media, I can vouch that backing up your work is very important. Saving work, and organizing it prior to it is key.
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Colin Mea commented on the post, Weekly Question #4: Complete by Feb 19, on the site 7 years ago
I believe the most important of Few’s data visualization principles is ask why. It is very easy to just look at a set of data and some visualized data, and take it in on the surface. It is crucial to know why the data says what it says, that is how you learn from it most effectively.
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Colin Mea commented on the post, Weekly Question #3: Complete by Feb. 12, on the site 7 years ago
It is a complicated task to determine which industry is affected most by data science, since it can be used in every industry. In terms of my career, the media field relies on data science in plenty different ways. From social media and finding what elicits views and clicks, to determining television viewership and the impact of online streaming…[Read more]
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Colin Mea commented on the post, Weekly Question #2: Complete by Feb. 5, 2018, on the site 7 years, 1 month ago
This article examines the bias of news media globally. As someone who studies media, this is an important question and issue, since it is difficult to report without any bias. The data shows that the majority of people believe news should be reported without any bias, but, globally, only a median of 52% believe it is being done well.…[Read more]