On dating site OKCupid, a lot of data is visible to registered users. This profile data is part of the service that OKCupid provides, allowing individuals to learn about and communicate with other site users. Users might assume that what happens on the web site stays on the web site (kind of like Vegas, right?) ... but is that necessarily the case? Nope. Check out this article from Christian Science Monitor about the reaction to Danish students scraping the site and releasing the "public" data as data set on a shared data site. Oh, and they took no steps to anonymize it because it was already "public."
http://www.csmonitor.com/Technology/2016/0514/Privacy-online-OKCupid-study-raises-new-questions-about-public-data
What do you think about this case ... as an individual who signs up for and uses various online services? As a professional who needs to access and analyze data?
Tuesday, 24 May 2016
Monday, 23 May 2016
Developing Data Story: Egypt Air Crash
The tragic news last week of the Egypt Air plane crash, followed by the search for both the plane and a cause of the crash, has brought with it a data story.
So, what are some of the data that we have?
So, what are some of the data that we have?
Reading scores are in!
Typically the state release of K-12 test scores coincides with this class :)
At the end of last week, reading scores came out. Here's a story from the Tallahassee Democrat about the scores, with a local focus:
So, now what do we do with the data? The focus here is on kids getting a 3 (on level) or above, and the numbers are % of kids in a school scoring 3+.
I'm going to consider all of this as a parent.
Data and the credit industry
Jonathan kindly shared this article titled How Data is Changing Credit.
The article provides a brief but interesting commentary on how data are used to assess creditworthiness and can now provide assessments on the lending risk to people who have a relatively low amount of data available about their creditworthiness (and who, in the past, would have been declined a loan on those grounds -- even if really they weren't a bad risk).
What do you think?
The article provides a brief but interesting commentary on how data are used to assess creditworthiness and can now provide assessments on the lending risk to people who have a relatively low amount of data available about their creditworthiness (and who, in the past, would have been declined a loan on those grounds -- even if really they weren't a bad risk).
What do you think?
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