Instructor: David Schuff, Section 001

Weekly Question #8: Complete by March 31, 2016

Leave your response as a comment on this post by the beginning of class on March 31, 2016. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, not so much particular “facts” from the class!

Here is the question:

Once last time, find another online article dated within last two weeks from a credible source that has something to do with data and is interesting and relevant to you. Copy and paste the URL directly into your response followed by a few sentences that explain what is interesting about it.

53 Responses to Weekly Question #8: Complete by March 31, 2016

  • http://fivethirtyeight.com/features/its-the-breanna-stewart-era-in-college-basketball/

    The article is about Brenna Stewart who is a senior on the undefeated women’s UConn team. In the article it talks about and shows how dominant UConn has been during her collegiate career. The article also shows how she has become more productive and efficient as a player during her 4 seasons at UConn. This article is interesting because the way it presents the data. The author uses many different data visualizations to show Brenna’s dominance.

  • http://fivethirtyeight.com/features/trump-will-have-a-hard-time-turning-blue-states-red-in-november/

    This article is about the demographics of the GOP nomination race. It explains how Trump has been successful in the south and not so much in the north east. He’s been average in the Midwest to west. It compares voter turnouts compared to recent years and compares them to the percentage of votes each nominee received. This article is interesting to me because this race is really starting to heat up. This next president will have a huge impact on our lives when we graduate college.

  • last month’s jobs report showed a surge in labor-force participation. The share of the adult population that is in the labor force has risen three months in a row and is at its highest level in more than a year. The people entering the labor force now, however, aren’t necessarily the same people who left it during the recession. The new entrants tend to be young: The biggest increase in the participation rate over the past three months has been among those under 25. Many are just finishing school and entering the labor force for the first time.

    http://fivethirtyeight.com/features/the-job-market-is-pulling-in-people-who-didnt-want-to-work-before/

  • http://www.mastersindatascience.org/blog/data-science-at-pandora/
    This article involves an interview with Pandora’s very first data scientist, Gordon Rios. In the article Rios explained that he was hired create the best recommender system possible. He also explained the best advice he received and he gave advice to anyone seeking a career in data science. This was intersection to me because I listen to Pandora and alway find out about music based on recommendations. I never really thought about the people behind it or the data science that went into it. It is interesting how influential data science is in making a company successful.

  • http://fivethirtyeight.com/features/gonzaga-just-keeps-proving-it-never-should-have-been-an-11-seed/
    This article is about Gonzaga University and its performance in the NCAA Tournament. Gonzaga was an 11-seed but is performing way better than this seed is promising. The team has better statistics than each of its opponents. Before the tournament fivethirtyeight.com said that they have a one percent to reach the title game and a three percent chance to get to the final four. Meanwhile, the percentages increased to seven and seventeen, respectively. In the article there is also a whole table that deals with different 11-seeds in tournament history.

  • http://fivethirtyeight.com/features/gonzaga-just-keeps-proving-it-never-should-have-been-an-11-seed/ This Article is all about how Gonzaga University entered the NCAA tournament as an 11 seed and was expected to be knocked out the first round but wasnt. I find this interesting because typically the rankings never really mean much once the tournament starts due to the countless upsets that happen. You never know which teams can handle the pressure and be bale to step up for multiple games in a week.

  • http://fivethirtyeight.com/features/the-job-market-is-pulling-in-people-who-didnt-want-to-work-before/

    This article reports on recent trends in labor force participation. Notably, college graduates are entering the work force at greater rates now than in previous years. Also, more people without degrees are receiving jobs, suggesting hiring requirements may be loosening. Regardless, all bodes well for the future of the U.S. economy.

  • http://projects.fivethirtyeight.com/2016-march-madness-predictions/
    This article is about who has the best odds of winning the NCAA march madness tournament. It is interesting to me because the website updates each teams odds after every game. This helped me and probably many others fill out a bracket. It is also interesting because they were able to predict which team was on upset alert. For example, Utah as a 3 seed should have been the favorite by a wide margin against #11 Gonzaga. However, they only had Utah as a 55% favorite, which showed that this game is going to be tough for Utah to win. They were correct in predicting a tough game because Gonzaga ended up beating Utah.

  • http://fortune.com/2016/03/27/data-driven-politics/
    This article talks about the use of data in political campaigns and which party is benefiting from it the most. So far the Democrats have benefited more from data driven politics than Republicans. The article suggests this is because Democrats are harder to mobilize, so the use of data gives them a larger boost. Also, younger voters (more likely to vote Democrat) use digital channels more often. I found this interesting because of the article we read during the last module about the Republicans stepping up their data effort.

  • http://www.pymnts.com/news/security-and-risk/2016/verizon-enterprise-customer-data-hacked/

    This article tells about the recent verizon hack. It explains how hackers have gotten into the verizon system, gotten past security, and stolen basic contact information of verizon customers and now are selling customer info online. This was particularly interesting to me because we have talked about such cases in class and how it can be detrimental to customers and the corporation whenever there is a hack.

  • http://fivethirtyeight.com/features/significant-digits-for-monday-march-28-2016/

    This is an interesting, light-hearted segment from fivethirtyeight. In the piece the author highlights a select group of relevant pieces of data for the day. Not necessarily relevant to anyone’s particular daily life, but more so intriguing current topics. In response to the new Batman Vs. Superman movie, the author has included that the two superheroes have appeared side by side in comic books at least 1,901 times, all most always as friends, as opposed to the plot of the film.

  • http://investorplace.com/2016/03/mondays-vital-data-amazon-com-inc-amzn-netflix-inc-nflx-and-tesla-motors-inc-tsla/#.VvlTiKtUdUQ

    This article discusses some of the recent moves regarding Amazon, Tesla, and Netflix as well as the performance relating to each company’s publicly traded stock. This article uses a collection of data such as option volume and days end cost per share. Metadata is also used to identify each stocks by their abbreviations. This article is relevant to me because a) I own a few shares of both Tesla and Amazon and like to stay informed on the goals and performance of each company, and b) I am a business student and find it in my best interest to keep up to date with the current business world.

  • http://fivethirtyeight.com/features/significant-digits-for-monday-march-28-2016/v
    In this article from the fivethirtyeight, they are giving a rundown of all of the statistics someone could be interested in, ranging from pop-culture, to politics. This article is especially interesting to someone like me, as I don’t usually go looking for data. However, the title of the article attracted me. Once I opened it, I found I actually had a lot of interest in some of the things they highlighted. Although not all of the stats are relevant or necessarily detrimental to our existence, it helps create a future interest in information and in the fivethirtyeight.

  • This article involves innovation in tissue analytics are the nation in research health centers.Tissue Analytic are developing a smart phone app would measure a wound and provide a longitudinal record across different care settings — whether it be inpatient, a clinic or home care. Also,the center uses wireless tablets to screen children in the waiting rooms of doctors’ offices. Currently, it is distributing smartphones to families and children to track medication doses over time which has acted as an instrumental tool in allowing doctors to track kids mental and physical history. I find this article interesting because any advances in healthcare are always for the better.

  • This article involves innovation in tissue analytics are the nation in research health centers.Tissue Analytics are developing a smart phone app would measure a wound and provide a longitudinal record across different care settings — whether it be inpatient, a clinic or home care. Also the center uses wireless tablets to screen children in the waiting rooms of doctors’ offices. Currently, it is distributing smartphones to families and children to track medication doses over time which has acted as an instrumental tool in allowing doctors to track kids mental and physical history. I find this article interesting because any advances in healthcare are always for the better.

  • http://www.healthcaredive.com/news/whats-coming-out-of-4-healthcare-innovation-centers-across-the-us/416355/

    This article involves innovation in tissue analytics are the nation in research health centers.Tissue Analytics are developing a smart phone app would measure a wound and provide a longitudinal record across different care settings — whether it be inpatient, a clinic or home care. Also the center uses wireless tablets to screen children in the waiting rooms of doctors’ offices. Currently, it is distributing smartphones to families and children to track medication doses over time which has acted as an instrumental tool in allowing doctors to track kids mental and physical history. I find this article interesting because any advances in healthcare are always for the better.

  • This article talks about the percentage of campaign promises kept and not kept from presidential candidates who were elected president since Jimmy Carter. Overall, 70% of the campaign promises were kept by all presidents since Jimmy Carter and another 25% were not kept because of congressional opinion not because of a change in viewpoint. US News made the direct correlation to this year’s campaign and to those who are against some of Trump’s campaign promises. If he were to get elected and the same as Bernie Sanders, not all people agree with the policies that they are putting forward, but to be skeptical since most of Trump’s policies will most likely be enforced if elected, if the future president proceeds as the the many before him do.

  • http://www.collegian.psu.edu/news/campus/article_86f9fdfe-f460-11e5-83c4-c32eb3c4b4e8.html
    This article discusses how Penn State is going to be offering an undergraduate major in data science starting in the fall of 2016. This is so big that the college is splitting up the major within 3 of its different programs. This is very cool news because it is a huge step for data scientists. Data science is only becoming more popular and data scientists are much in need, so for colleges to offer a data science major it will help students who are looking to pursue a degree in that field.

  • http://www.consumerreports.org/cell-phones-services/what-personal-data-stays-on-your-phone-/
    This article seems interested to me because, like many now, I own an IPhone too but without knowing where my data is being stored and who has access to it. From this article, I learnt how sending regular messages is different from iMessages, that is, how they are stored as metadata through the carrier or by Apple. This article points out how iCloud plays a big role in storing the data on an iPhone and that once someone hacks that, this data can go public. It also explains how Apple uses data from our geographic locations to help in kidnapping cases or just for traffic routing. Data in our phones is really unprotected as it seems.

  • With an increase of remotely piloted aircraft (drones) flying around, they start to pose a threat to the commercial airliner industry in the form of collisions. This study used data of bird-aircraft collisions to attempt to predict the collision risk with drones. Turns out, the chances of collisions with drones are 1 in 100000 IF we had the same population of drones to birds (which, we don’t). In order to study the data accurately and transpose it to drone predictions, they had to go to aviation experts to define a small drone, which they found to be between 2.5 and 55 pounds.
    http://www.aviationpros.com/news/12184400/study-uses-bird-collision-data-to-calculate-risk-unmanned-aircraft-pose-to-commercial-airliners

  • http://www.nbcnews.com/tech/apple/fbi-doesn-t-think-it-needs-apple-s-help-unlocking-n546876

    This article that I selected is a news article talking about how the FBI was able to contract the data from San Bernardino attacker Syed Farook. This story has been in the news for awhile now because they were going to court in order to get apple to bypass the phones security features, to gain information about the attack and more encrypted into the phone. The FBI was able to break into the phone on their own, without needed apple.

  • http://fivethirtyeight.com/features/its-the-breanna-stewart-era-in-college-basketball/

    The article is about how NCAA basketball team Huskies performance in women’s whole basketball team by using data visualization. After that, this article introduced player Stewart’s good performance through data visualization charts. Meanwhile, the article uses basketball Court as background of the charts, then showing how many points the player got and missed, and what position she got the score. Which is very clean and profession related data visualization.

  • https://www.washingtonpost.com/local/public-safety/court-asks-do-police-need-a-warrant-to-track-your-cellphone-for-months-at-a-time/2016/03/22/135ed52c-e7cc-11e5-b0fd-073d5930a7b7_story.html

    I actually used this article for a research paper for my legal studies class. Basically it talks about whether or not police using cell phone data to track someone’s movements over a long period of time is unconstitutional. Concerns about this topic came up because people were concerned that police tracking someone’s movements for too long could be considered an invasion of privacy. I think this is interesting because I always thought that police surveillance and tracking someone’s movements was legal and that there would never be any controversy surrounding the practice because law enforcement uses these tools to catch criminals and stop illegal activity. But the article explained that sometimes this practice can lead to some inconsistencies and can lead law enforcement to collecting irrelevant data about the person they’re watching, causing some to believe citizens’ right to privacy are being violated.

  • http://fivethirtyeight.com/features/when-will-the-world-really-be-2-degrees-hotter-than-it-used-to-be/

    My article deals with the issue of global warming with a specific focus on the unusual temperatures we had this past February. Scientists say that we will be in trouble when the world sustains average temperatures that are twi degrees Celsius above pre-industrial levels. There is a debate as to how long this condition has to be in existence before we can finally say that it’s a reality, as there is no universally accepted benchmark to measure this. Some say a decade, while others say only a few years.

  • http://motherboard.vice.com/read/how-companies-will-use-artificial-empathy-to-sell-you-more-shit
    Artificial intelligence has always been on the border of interesting and creepy to me. On the one hand, it makes life easier, and can be both fun and interesting to play around with. On the other hand, when computers can start empathizing with human emotions it gets creepy.. The idea that a camera will look at me and know what I’m thinking or feeling based on body language is creepy. That’s only a small portion of the article, but the rest is similar, including references to racially targeted ads, are becoming reality.

  • http://gadgets.ndtv.com/internet/features/why-hackers-are-going-after-health-care-providers-819216
    Healthcare has always been a juicy target for hackers. This article explained why. First of all, Healthcare information holds a lot of personal data, more than any other services. And these data, of course, is to be used to commit financial fraud if stolen. But why this industry in particular? Because Healthcare services haven’t have any good reputation on cyberspace risk. Take ACA for example, they failed even as a government regulated program. So that’s why, weakly-protected, massive amount of personal data, it cannot get more attractive than that.

  • http://www.wsj.com/articles/bigger-chickens-bring-a-tough-new-problem-woody-breast-1459207291
    The article talked about the difference between chicken 50 years ago versus today. I think what makes it interesting is animals today are generally twice as big as before. With human population constantly growing, how far can they push the limit?

  • http://fivethirtyeight.com/features/updated-odds-of-the-warriors-going-73-9/

    The golden state warriors have had a great season so far and even with the number 1 seed in the NBA playoffs, they still stretch for more. The warriors have about 9 games left and their plan is to break the 1995-96 Chicago Bulls record for the most wins in a single NBA season. This article was extremely interesting to me because the warriors have a very difficult choice to make between keeping their most valuable player, Steph Curry in till the last game of the season or should they take him out and let him rest for the upcoming playoff games. This is risky because if he is out then it will be very risky and hard to break that record. I think that they can keep him in and not only will they break that record but they will finish this season as champions.

  • http://www.fastcodesign.com/3058352/this-data-viz-tool-is-as-easy-to-use-as-a-post-it-note

    The article I found is about a new online data visualization tool called Beam. Rather than making the process of creating data visualizations complex and time consuming, Beam simplifies the steps and efficiently creates appealing data visualizations in only seconds. It doesn’t have many options in what kind of visualizations it can create, but it’s arguably the best way to teach people how to improve their info graphic illiteracy. I found this interesting because I currently am working with a client for a marketing project who is having difficulty wrapping his head around the data sets i provide for him about how his digital presence has evolved and improved over a certain time period. I could make data visualizations for him that allow him to easily analyze the data and come to the same conclusion as I am trying to convey, but I have previously found that data visualizations take some time to create. Having a tool like this would allow me to easily create a visual report for him that he fully understands, rather than a confusing numerical one.

  • http://fivethirtyeight.com/features/updated-odds-of-the-warriors-going-73-9/
    I found this article to be interesting because it describes, through many charts and statistics, the Warriors chance to make history and break the all-time record for wins in a season. The record is 72 by the Chicago Bulls, and the Warriors now have around a 66% to beat that record as of today. This is very relevant and important to the sports world because it is one of the records everyone knows, and never really though it would be surpassed. They must go 7-2 over their last nine games to break the record.

  • This article talks about how Villanova University is doing so well in the NCAA Tournament. Its all thanks to their 3-point field goal percentage.
    In the first two rounds they led in 3-point percentage (48.9 percent). I find the article interesting because I enjoy watching the tournament, you never know what can happen and Villanova is one of my favorite teams. Villanova has been continuously dominating the tournament by winning each game by at least 20. There last game against Kansas was a close game however they outplayed them.

    http://fivethirtyeight.com/features/villanova-will-die-or-live-by-the-three/

  • http://generocity.org/philly/2016/03/25/keep-philly-beautiful-national-best-practices-annual-report/
    Keep Philly Beautiful released its annual report and has information including number of volunteers, amount of money raised and distributed, and how many students they have reached in the last year. Additionally, they updated their best practices guide for its second edition. This is relevant to the work I’m doing at my internship, so the information, especially the best practices, will be incorporated into my work.

  • My article is about the recent controversy over the FBI trying to force Apple to create away that allows the government to break through the security code of the phone and access the data on terrorists’ phones to help with their investigation. This articl is not primarily about data but is a big news story that really hits questions like whether or not its ethical to make data that was supposed to be private to be accessed, when do we make exceptions for people’s safety and when does that exception become a bigger risk for everyone else then it is worth. The FBI recently has dropped their case against Apple because a third party has come forward to help the FBI do what they intended to do.With new massive amounts of data surrounding our every day lives, I am sure this wont be the last time a story like this causes this much controversy.

    http://herald-review.com/fbi-finds-way-into-iphone/article_fc0f16aa-f915-5a7b-8572-dadf9977f970.html

  • http://fivethirtyeight.com/features/rich-kids-stay-rich-poor-kids-stay-poor/
    My article is about how you grew up plays a huge role in where you will end up in the future. One of the factors that determine whether or not you will earn a high salary is education which according to the study, those whose parents had high earnings also showed a higher probability of their children attending college. This is relevant to me because it was interesting to learn that where you are in the income class will have significant impact on where you will end up in life.

  • http://fivethirtyeight.com/features/how-donald-trump-hacked-the-media/

    The article is about how Trump possesses over 60 percent of the media in every category, and leads not on the republican party in media coverage, but also has more than the republican parties. This ties in with the idea of any publicity, is good publicity. Trump can have the most minute issue, and it will be front and center of any media platform. This is damaging the appeal of other candidates, and has been the ultimate downfall for Rubio within this race to presidency.

  • http://flowingdata.com/2016/03/10/never-been-married/
    This article is looking at statistics of people who never got married. They give you an interactive infographic where you can play around and look at different categories to see where the most people are who didn’t get married. The categories are broken up by race, employment status, education and gender. This article was interesting to me because I wanted to see my statistics of getting married or not.

  • http://www.insurancejournal.com/news/national/2016/03/28/402860.htm
    This article focuses on a new initiative by the Verisk Analytics subsidiary, Insurance Services Office (ISO), to analyze terrorism data for the US Department of Treasury. The ISO will be receiving and analyzing billions of records of data from property and casualty insurance premiums and loss history. The data will be used to identify the costs of terrorism, both nationally and internationally. This is interesting because acts of terrorism are rare and extremely difficult to predict, thus causing data collection to seem like a not so entirely beneficial task.

  • http://fivethirtyeight.com/features/updated-odds-of-the-warriors-going-73-9/
    This article i found details the odds of the Golden State Warriors to beat the 1995-96 Chicago Bulls’ record for best regular season win/loss record in NBA history of 72-10. The article is interesting to me because I am a basketball fan who could witness history. The article uses data to create a model where they compare the Warrior’s remaining opponents and their records. Based on that, probabilities are created for each remaining game and the probability that the Warriors will win each game. This data is interesting to me because the probabilities are in favor of the Warriors breaking the record, despite having a somewhat difficult schedule to end the season.

  • http://fivethirtyeight.com/features/how-a-data-scientist-whod-never-heard-of-basketball-mastered-march-madness/

    This article/video is about how 3 people from completely different backgrounds were able to have the most successful March Madness bracket predictions. I found it to be very interesting how the 47-year-old English data scientist predicted her bracket. When composing her bracket she gathered data from every team within the years of 2005 to 2014. The data( such as number of 3 pointers, number of free throws, fouls, etc.) was then compiled into different data generators to use past data to predict future occurrences. By using raw data from regular season games and also using a teams “shock ability” from being in the tournament she was able to come up with some pretty accurate predictions for her 2015 bracket.

  • http://fivethirtyeight.com/features/the-job-market-is-pulling-in-people-who-didnt-want-to-work-before/

    The economists have found that the participation rate, the share of the adult population that is in the labor force, has risen three months in a row and is at its highest level in more than a year. However, the data suggests that the people entering the labor force aren’t “discouraged workers” who gave up looking for work and are now returning. It is interesting that people use data to prove that the labor force was recovered, but also use data to prove that it is not what it should be, that the people who returned are not those who struggled most in the economy.

  • http://www.theguardian.com/news/datablog/2016/feb/26/uk-more-middle-class-than-working-class-2000-data
    From Guardian Data Blog, there was an article called UK became more middle class than working class in 2000, data shows. The purpose of the article was that lower income people are not the majority in the UK since 2000 so the Labour party has some trouble ahead. The middle class is composed of people in the service sector rather than blue collar jobs. The proportion of households working in non-manual professions (known as ABC1s) was 50.6% and has increased to 54.2% last year. The article also shows how social voting has been affected because of this gap.

  • http://www.nbcnews.com/news/us-news/sham-cancer-charities-raked-75-million-get-shut-down-n548086

    This article deals with sham cancer charities that made upwards of about $75 million dollars. These businesses have since been shut down, but it is very sad that these organizations were able to rake in such high revenue while it could’ve been actually going to research, and/or treatment.

  • I found an article on Forbes, titled “Are We Mining Data Instead Of Answering Questions?”, that hits on a lot of the points we make in class. For example we often discuss the assumptions people make when it comes to big data. The larger the data set and the more complex your method is, the more likely it is for your findings to be significant and answer some major questions. However, the author of the article questions whether we are even asking the right questions. Throughout his experiences with big data, he finds that many researchers manipulate their question to fit the data set they have. This is interesting because we see this trend where big data is driven by complex data-sets and algorithms and influenced by technical proficiency rather than its proper fit to answer the right questions.
    http://www.forbes.com/sites/kalevleetaru/2016/03/19/are-we-mining-data-instead-of-answering-questions/#bc063bb4047d

  • http://fortune.com/2016/03/31/sorry-uber-customer-service-ratings-cannot-replace-managers/?iid=sr-link2

    This article raised an interesting question to know : If the people who provide services as independent contractors without supervision, how can they be managed in order a company can deliver a high quality service necessary to build a good recognition and customer trust?
    In fact, these employees are controlled by customer rating also with the use of customer experience surveys. Thus, I believe a great use of data is in essence for a less complex learning and training which are relevant for the task.

  • Even though this article is focusing on last year’s ncaa March madness tournament, it’s funny to see how the computer’s picks turned out. In a game such as the Iowa state Georgia state game, the computer predicted isu to have a 91% chance of winning and to everyone’s surprise, they lost. Another thing I found mind blowing is the chances of Kentucky winning the national championship. The team performed so well during the regular season that the computer gave them a 41% chance of winning the whole tournament. In an article we read earlier this year it said that many bosses don’t trust their data. With something as crazy as March madness, trusting the data may not be the best idea because unspeakable upsets happen every year that a computer would never be able to predict.

    http://fivethirtyeight.com/interactives/march-madness-predictions-2015/

  • http://fivethirtyeight.com/features/texas-teams-will-rule-the-al-west/

    This article deals with the impending start of the Major League Baseball season that begins on Sunday. I’m a huge baseball fan, so that makes this article relevant to my interests. I find it interesting because it provides statistical and data-containing reasoning about the potential domination of the teams in the American League West Division that play their home games in Texas. It provides backed-up reasons from multiple sources of why these Texas teams will dominate the rest of the division.

  • http://www.miaminewtimes.com/news/miami-company-helps-cubans-access-the-internet-through-their-email-8351534 This was a very interesting article that discussed methods of transferring data in an unusual way to circumnavigate high internet use costs in Cuba. When I visited Cuba last year, young adults would flock to cafes to send emails (which i thought was a bit bizarre), and when they went home they would use flash drives mailed from Mexico to watch their favorite shows (friends was very popular) on their computers. I had a hard time getting my prepaid internet card to work there, and I could only view content that was simple in form (ie text, no videos). This article is great in that it explains what the current situation is with internet connectivity and the spread of data, and how innovative individuals generated an email server that can work as a search engine for the people of Cuba.

  • http://siraregatta.com/Files/2014/SIRA%202014%20Results.pdf
    This is the data i chose because it is very important in my future race. This allows me to see what teams did well and the times that they hit and that my team should aim for. We can use this to plan out where we make certain moves during a race and to also see where we may stand when we head here.

  • I found an article on FiveThirtyEight that dealt with a man who completed Dwayne “The Rock” Johnson’s diet for one month. The Rock is a former WWE wrestler turned actor. This man who tried his diet was a normal 37 year old who worked at an office. The diet consisted of about 5,000 calories a day with 7 meals per day. That’s a lot of food and without the right exercise one would gain a lot of weight! But after the 30 days the man said that he gained only 1 pound but increased his muscle mass by a lot. He was about to bench press 150 after which he would only be able to bench 115 before. Also the diet cost him $42 dollars a day just on food! That’s very expensive for a normal guy and not a superstar.
    http://fivethirtyeight.com/features/the-rock-dwayne-johnson-diet/

  • http://flowingdata.com/2016/03/29/data-proofer-automates-the-data-checking-process/
    Although this is more of a blog entry than an article, the entry was posted today by Nathan Yau and provides a software solution for the data checking process. The blog entry suggests trying Data Proofer, a tool that is “built to automate the process of checking a dataset for errors or potential mistakes.” This blog entry caught my attention because just yesterday at my internship, the Director of Marketing was discussing the immense amount of simple data entry discrepancies in our CRM with our team of Business Analysts. Cleaning this data would take weeks of work and all hands on deck, so perhaps a tool like this could be a potential solution and expedite the data cleaning process.

  • http://fivethirtyeight.com/features/these-are-the-phrases-that-sanders-and-clinton-repeat-most/

    This is an article highlighting Hillary Clnton and Bernie Sanders most used words and expressions. I thought it was interesting because it demonstrates a difference between the candidates, where Bernie’s most used expressions are direct issues like “health care to all” and “a corrupt campaign finance system” while Hillary’s are moe vague idealistic phrases such as “to do more” and “to go after”.

  • http://community.mis.temple.edu/mis0855sec001s16/2016/03/24/weekly-question-8-complete-by-march-31-2016/#comments

    This article is interesting to me because as a college senior, this election is pivotal to shaping America for the start of my adult life. Further, Sanders’ policies make me nervous due to the drastic shift and overbearing government he suggests. Further, as an economics major, some of his policies demonstrate to me a lack of understanding of simple economics which portrays poorly to his character in my eyes as running for this position, he could easily hire expert economists to help him out in this regard. Nonetheless an interesting article demonstrating how difficult it would be for sanders to win the nomination.

  • http://kotaku.com/google-deepmind-is-now-analysing-magic-and-hearthstone-1767628685

    This article is about the Google DeepMind AI, that had just recently beaten one of the best Go players in the world (an impressive task, since it was widely considered impossible for an AI to learn Go due to the complexity of potential board states), moving onto bigger and better pastures – analyzing and reading Hearthstone cards. It is attempting to use neural net technologies in order to decipher cards automatically into a machine-readable language. Why? I’m not very sure.

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