Section 004, Instructor: Laurel Miller

Weekly Question #2: Complete by January 28, 2016

Leave your response as a comment on this post by the beginning of class on January 28, 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!

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Here is the question (well, it’s not really a question):

Find a online article dated within last two weeks from a credible source that has something to do with data. It can be about the role of data or an interesting data-driven analysis. It should also be relevant to your major and of interest to you. Copy and paste the URL directly into your response followed by a few sentences that explain what is interesting about it.

You can use any of the sources under the “Great Data Sites” menu on the right sidebar of this page, or you can use any online news or magazine site.

56 Responses to Weekly Question #2: Complete by January 28, 2016

  • Profile photo of Kelsey J Penney

    http://www.ihealthbeat.org/articles/2016/1/20/health-care-organizations-report-data-breaches-affecting-thousands

    The article I found briefly discusses a few data breaches within healthcare organizations. Two of the breaches stemmed from employees stealing data, either by emailing it to themselves or taking a tablet with spreadsheets of patient information. I found this interesting as the government has mandated all doctors offices and healthcare companies to move from paper charts to paperless, with everything being online only, and there are already a number of breaches happening and most doctors havent even gone paperless yet.

  • Profile photo of Arlo Antle

    http://www.people-press.org/2015/07/23/gops-favorability-rating-takes-a-negative-turn/

    The article here concerns the recent drop in favorability of the republican party over the course of 2015, and goes into other details concerning the political happenings of current days. Essentially, this may be due to the lack of a (excuse my personal bias) completely respectable and viable republican candidate. No one seems to be pleased with anything that the GOP is bringing to the table these days, aside from a smaller minority, and personally I would think it is due to the current standing of the race for the presidency. Overall, this article was very interesting because it uses data to show which topics are held more in favor to be handled by each party, which I thought was quite intriguing.

  • Profile photo of Melanie McComb

    http://www.walesonline.co.uk/sport/rugby/rugby-news/warren-gatlands-wales-cope-following-10753220#ICID=sharebar_twitter

    This article is from Wales Online and talks about the importance of sports analysts. The article states that the work sports analysts, especially video analysts, do is crucial. Their contribution to the team could make the difference between success and failure. From the information their research provides, coaches are able to improve the team in all aspects. They know what methods are working, what needs to be changed, any weaknesses that need to be addressed, etc. The information also tracks habits of an opposing team to possibly predict their movements and counter them to gain an advantage. The article interested me because I am a sport and recreation major and this is a career path available for me.

  • Profile photo of Hung Dau

    http://www.theguardian.com/teacher-network/datablog/2016/jan/21/the-schools-that-topped-the-2015-gcse-league-table-by-region

    This article is from The Guardian Newspaper, shows the rating comparison between different schools in various regions in England. This rating data is made according to the proportion how many students from each school get more A in English or Math throughout GCSE exams. I found this article and the data really interested because it basically show off the studying abilities of schools between regions in England. Therefore, it somehow makes me curious to see differences they have in the country.

  • Profile photo of Megan George

    http://blogs.wsj.com/economics/2016/01/14/what-forecasters-expect-from-the-economy-in-2016/

    The article above, from the Wall Street Journal, lists categorized data predictions for the economy in 2016, and it also gives a link to last year’s analysis on the initial predictions. One category of data was oil prices. It’s funny because the forecasters predicted oil prices to rise in 2015, but they ended up dropping. Again, they are predicting for 2016 that oil prices will rise, and this is furthers the evidence that data predictions should be taken with an open mind.

  • Profile photo of James J Dantonio

    http://www.forbes.com/sites/theopriestley/2016/01/15/eu-bosses-can-snoop-on-your-private-messages-at-work/
    The article I read dealt with an employees privacy at work. It was about an employee in Romania who sent a private email using his company’s computer and his employer viewed the message. The European Union ruled that the company was allowed to look up and view the data in the email because it was sent on their computer. This is interesting to me, because I work for Cigna and I know they can view our messages and emails but they do encourage us to log onto social media during our lunch breaks and I’m curious if they are allowed to see what you post at work while on Facebook or Twitter. I’m pretty sure they would be able to do that.

  • Profile photo of Donald M Tedesco

    http://appleinsider.com/articles/16/01/22/apple-expands-maps-capabilities-with-new-flyover-nearby-and-traffic-location-data
    The article I chose is about Apple expanding its Map capabilities to show an aerial or “flyover” view of locales in the world. This does not directly relate to my major (risk management) but I am thinking of changing it to MIS, which would have a strong correlation to this article. I find it to be extremely interesting because Apple used data to find traffic location in places such as Hong Kong and Mexico to help people in the world see where traffic is backed up or at a stop. I also found it interesting because Apple is competing with Google’s Street View to create a more detailed focus of metropolitan cities so that people could navigate better.

  • Profile photo of Rebecca Jackson

    http://fivethirtyeight.com/features/can-the-internet-predict-the-oscars/ This article is interesting to me because instead of basing Oscar predictions on expert opinions, the people featured are taking everyday data and turning it into possibly more accurate guesses than any expert could have. It’s cool to read the different methods they have thought of, and compare the limitations of those methods/models. I’m excited to find out if the model utilizing the number of headlines on an actor/film is better able to predict than the model compiling positive and negative tweets.

  • Profile photo of Rachel Rempel

    http://www.bloomberg.com/news/articles/2016-01-12/is-the-law-school-crisis-affecting-harvard-
    This article was particularly interesting to me, because I aspire to go to Law school following my undergraduate studies. A common remark I hear as a (hopefully) future attorney, is that there are no jobs in the field, the competition is cut- throat, and becoming successful is seemingly difficult. This gives me reassurance, because if Harvard is accepting transfers from less prestigious schools and with lower scores just to maintain class size, this indicates that the field and pool of potential lawyers is actually shrinking.

  • Profile photo of Kyle M Haberman

    http://fivethirtyeight.com/features/the-spurs-bench-could-probably-make-the-playoffs-on-its-own/
    This article, from FiveThirtyEight, tries to demonstrate how good the San Antonio Spurs’ backup players are by showing, through data, that they would be able to make the playoffs if they were their own team. The analysis is driven by the Box Plus/Minus rating which measures a basketball player’s performance and its affect on the team’s performance. Interestingly enough, if the Spurs’ back up players were to have their own team and play regular minutes as starters, they would be able to perform as the 6th best team in the NBA. This article is relevant to myself as an MIS major because it shows how one can analyze data to make predictions and come to conclusions.

  • Profile photo of Bridget Beauty Warlea

    http://www.people-press.org/2016/01/20/voters-skeptical-that-2016-candidates-would-make-good-presidents/
    This data set is about the people’s perception of the 2016 presidential candidates’s success in office. A lot of the information leads to evidence that the american people aren’t too happy with the options that we have in this election cycle. For example, of the people surveyed, 44% believe that Hillary Clinton will be a poor or terrible president while 52% believe that Donald Trump will e a poor or terrible president. This trend of distrust is similar among all other presidential candidates. Furthermore, there is obvious information of partisanship based off party affiliation and ideology as a majority of each party’s registered voters believes that the opponent’s forerunner would be a terrible president (57% for Republicans, 54% for Democrats)

  • http://fivethirtyeight.com/features/t he-most-ominous-snow-forecasts-for-new-york-city-were-right/

    This article is an interesting comparison between two different meteorological forecast models that predicted vastly different snowfall amounts in the NYC region during this Blizzard of 2016. I think one of the important points made by Harry Enten is that one must not fail to consider or account for or plan for events that may be considered statistical outliers, or the so-called black swans. Failure to take into account Black Swan events, no matter how improbable their likelihood, could prove calamitous in my field of study, Risk Management.

  • http://fivethirtyeight.com/features/the-stock-market-is-not-the-economy/

    This article is from fivethirtyeight.com and discusses implications of the stock market against the actual economy. As a finance major, I am very interested to see statistics that may predict what could happen to the economy. The article suggests that, while a dip in the stock market is obviously not ideal, it does not, by any means, imply a definite economic downturn. Instead, the article offers that foreign entities and other large concentrations of money should be observed.

  • http://blogs.ft.com/ftdata/2016/01/19/datawatch-surplus-males-in-china/
    This article from FT Data, which is interesting to me because analyze population composition by gender in China. From last century, in order to control population growth, China implement one-child policy, which has created the sexual problem. Also, since ancient times, Chinese people prefer boys to girls, so all these situation that causes “surplus” males today. Some Chinese people even think China should practice polyandry to save those bachelors.

  • Profile photo of Shane T Burke

    http://www.forbes.com/sites/chunkamui/2016/01/22/thinking-big-about-big-data-in-insurance/#27136be13377

    Big data is transforming the insurance industry in big ways. Data controls insurance because it is used in creating models for pricing for consumers. According to Tom Warden, big data will allow insurance companies to discover new insurance products and to better predict future events. This includes usage-based insurance pricing which prices insurance based off live data from the customer.

  • http://www.vox.com/2016/1/4/10709366/immigration-america-200-years
    The article has examined the changes of immigration over last few decades, or a century. We could see few waves of immigration happened in last few decades, apparently it reflects the trend of the whole world, which is other countries’ people would love to seek opportunities and lives in United States. Immigration does bring some damages to America, but it also brings more opportunities and fortune to the country. ‘Dual Economics’ is pretty developed in the country, with that flowing population and trend of immigration from the data on the website, we could develop different strategies of marketing. It could be resorted by population, or even races. Therefore, resources are facilitated through the whole country, workers are allocated according to their abilities. Because people from all aspects of area in the world are qualified with different levels of skills.

  • Profile photo of Stanley T John

    http://fivethirtyeight.com/features/cavs-fire-coach-david-blatt/
    This article I found on FiveThirtyEight briefly discusses the firing of Cleveland Cavalier’s head coach David Blatt. Even though Blatt led the team to the NBA Finals last season and has a 30-11 record currently this year, his firing portrays how coaching in the NBA is not an easy task. I found the data table very interesting to look at as it showed all the coaches who were fired/resigned during midseason with an Elo rating of 1550 or higher. The average Elo rating in the league is 1500 so having an Elo rating above that indicates a really good team. The Cavaliers had an Elo rating of 1669 which is really good which leads us to question if Lebron James had anything to do with Blatt’s firing. This article interested me since I am a big basketball fan.

  • Profile photo of Ngoc (Nathan) Pham

    http://fivethirtyeight.com/features/the-stock-market-is-not-the-economy/
    The article starts with the 500 points decline of the Dow Jones Industrial Average last week. However, that declining number, according to the author, does not reflect the global economic development as a whole. China reported last week that its DPG had grown 6.9% in 2015, the slowest growth of the country in 25 years. On the other side of the world, the figure that top richest 1% of the world possess roughly 50% of the global wealth stills makes people contemplate a lot. The article summarizes a week in economics with decline, growth and economic inequality that we still have to fight against.

  • Profile photo of Justin Kish

    http://www.businessinsider.com/spotify-user-data-2016-1

    This article provides the reader with the knowledge about amount of data that is produced by Spotify listeners. With the data that is being produced, they can activity predict the type of music that you would like at certain times of the day. Spotify is throwing around the idea of adding more media to their primarily music platform, like implementing podcasts for an example. Spotify, by harnessing and processing their data, will create a better listening platform for their users and find new ways to create more invested and active users.

  • Profile photo of Kevin F Bradley

    http://fivethirtyeight.com/features/kawhi-leonard-is-the-most-well-rounded-elite-shooter-since-larry-bird/
    This article from FiveThirtyEight discusses the young basketball star, Kawhi Leonard. At 24, he is currently in his fourth year as an NBA player, and already has a Defensive Player of the Year award and a Finals MVP award. The article discusses how Leonard has emerged as a serious threat from three-point range, which has significantly improved his all-around game. Leonard was efficient in other areas of the game before the start of this season, such as defense, rebounding, assists, and usage, but the development of his three-point shot has given him the efficiency of Larry Bird, an NBA legend and Hall of Famer. The article concludes by reminding the reader of Leonard’s young age, implying that he will only improve more as he ages.

  • Profile photo of Ngoc-Tran Tran

    http://fivethirtyeight.com/features/billion-dollar-powerball-lottery/
    I find this article interesting because it talks about the chance of winning the lottery. I myself do not believe in the chance of winning the lottery (maybe because I major in Actuarial Science). However, I am fascinated by how people still spend money on lottery despite all the probability and all the articles about the chances of winning. This article is worth the read as it analyzes many aspects of the lottery and the probability of winning in the new model.

  • Profile photo of Korah Sabu

    https://opendata.socrata.com/Government/Drinking-Water-RadNet-Laboratory-Analysis/4ig7-9eqd
    This data is very interesting because it shows information about drinking water in cities across America. This is so important because we all drink public water so we need to make sure we are not consuming any contaminated water. This data is also very interesting because it shows the presence of any chemicals in drinking water. It is crazy because there some cities that have detected the chemicals in their water so they need to figure out changes.

  • Profile photo of Kevin Vong

    http://www.theguardian.com/technology/2016/jan/12/shops-could-soon-be-targeting-ads-according-to-your-feet
    The article I chose talks about how shops could soon be targeting ads according to your feet. I found this article interesting because I have heard of facial recognition profiling, but using feet to profile people is not something you hear or see on a daily basis. Data scientist have developed tech that can analyze the style and size of people’s footwear as they walk past. The system can make judgments on demographic, footfall, and predict the gender of the person.

  • Profile photo of Enshen Guan

    http://www.gps.gov/systems/gps/performance/accuracy/
    This article talks about the GPS accuracy. Nowadays, GPS plays an important role in our daily lives such as navigating, finding a restaurant, etc. I am interested in how it works and how accurate it is. According to the article, “Real-world data from the FAA show that their high-quality GPS SPS receivers provide better than 3.5 meter horizontal accuracy.”, it is really amazing that the GPS could provide such an accurate measurement.

  • http://www.usnews.com/news/blogs/data-mine/articles/2016-01-21/more-americans-are-living-to-be-older-than-100
    The article I found talks about the immense increase in the number of people living past the age of 100, which I found very interesting. According to a recent CDC report, the rate of “centenarians” is up 43.6 percent since the year 2000, 80 percent of which are women. They believe these dramatic numbers are in part the result of improvements in medicine, better public sanitation, as well as stronger vaccines and antibiotics. This is exciting for Americans because it proves that the quality of life is improving and by the time we reach that age it could be the norm!

  • Profile photo of Cheng Zheng

    http://fivethirtyeight.com/features/are-we-headed-for-another-recession/
    This article is interesting to me because I have another class discussed about the recession recently. It’s interesting that the business cycle is normally about 5 years, but now the economy has expansion for 7 years and we do not know when will the next recession comes or what will affect it. This article claims that it is about time that a recession is coming due to the average of economic expansion, the changes of global market and the current situation of economic.

  • http://www.theguardian.com/us-news/datablog/2016/jan/25/us-hispanic-latino-voters-us-election-2016

    The article I read was called “Could Latino voters decide the next American President?” I found the article to be incredibly interesting and it presented many facts that I was not aware of. There are more Latinos who are eligible to vote in the United States than there ever was before. If Latino voting participation rose, they could have a serious impact on political maps and impact who wins elections. However, the article was careful to point out that Latino voters are sometimes low because participation is low. A Latina woman in the article said that many Latinos are not going to vote because their parents or other people in their family did not vote and they may not be able to figure out the system as easily as others. If Latino voters participated more, then some feel that candidates would spend more time focusing on issues that the Latino community supports.

  • Profile photo of Xiaoxue Xia

    http://fivethirtyeight.com/features/fivethirtyeights-guide-to-predicting-the-oscars/
    This article is establishing the Oscar model of predicting candidates for different awards like the best actor, the best picture, the best director and the best supporting actress. This model is built based on their prediction of the insight of the Oscar Award and also from other press awards and insider awards. From the perspective of marketing, the popularity of the market of different film genres either in an award or in the public can be concluded as well. I found it interesting because watching movies is one of my biggest hobbies and it’s surprise to know the data can have such power in movie industry and maybe in other industries as well.

  • Profile photo of Christopher David Jackson

    http://fivethirtyeight.com/features/spurs-warriors-is-the-best-defense-offense-clash-in-nba-history/

    The article I did is about two of the greatest NBA teams that basketball has ever witnessed. What makes the teams so great is that not only have these teams dominated nightly, they’ve both been equally superb offensively and defensively as well. According to data stating the NBA’s highest team ratings ever, this Spurs vs Warriors game is ranked number one, making it something you only see later during the championship. I am very interested in sports marketing, so this article is right up my alley. Truly, this is a one-of-a-kind matchup with data that just puts the icing on the cake.

  • Profile photo of Chloe Alison McCormack

    http://www.businessoffashion.com/articles/intelligence/the-rise-stumble-and-future-of-lululemon

    This article discusses how Lululemon grew as a brand over the last decade. It discusses the companies culture and highlights their growth in sales and revenues. It also talks about how the company over came many obstacles and what the future looks like for the brand. I’m very interested in this article because I love Lululemon’s clothes and their corporate culture, one day I would love to work for them.

  • Profile photo of Nicholas F Fieo

    http://fivethirtyeight.com/features/were-there-6-percent-more-murders-last-year-or-16-percent/
    This article focuses on the national increase in murder rates for 2015. According to the article, the murder rate was up by 6.2% within the first half of 2015, which proved to be quite shocking (annual record nationwide for the highest increase in murders is set at a whopping 9% in 1990). This article also mentions how cities are statistically proven to be more of “murder hot spots,” Philadelphia being one of them. I found this article very interesting due to my love for the city of Philadelphia, criminal justice, and the hit television show Criminal Minds.

  • Profile photo of Anthony G Brusco

    http://fivethirtyeight.com/features/the-panthers-first-half-blowouts-are-unprecedented/

    What is interesting about the article is that the data observed in this study further broadens by an NFL game being based on the Vegas spread, or better known as a team giving a 50-50 chance to win whether it is they are the +/- points. What stood out to me is the Carolina Panthers ending the first quarter of their two playoffs game with an average probability of 91 after the first quarter ended. The team did not stop there and increased it by 8 percent around the time halftime came around which is reasonable with how well the defense of the team plays along with Cam Newton on his way to MVP stardom.

  • http://fivethirtyeight.com/features/sabermetrics-is-killing-bad-dugout-decisions/

    This article is about sabremetrics, which is a term describing the in depth statistics that are growing in popularity in the world of baseball. The idea of sabremetrics was used in the movie Moneyball. Anyway. the article talks about how these in depth statistics are being used to cut down on bad decisions made by managers in the dugouts. The article specifically mentions the idea of self-sacrifice in baseball, and how through the growing popularity of sabremetrics, coaches and managers are realizing that in most situations, self sacrifice is not the best way to ultimately succeed. While the article specifically focuses on this, it also shows how sabremetrics will be used to delve into other areas of baseball and influence in-game decisions that will be made in the future.

  • http://bigdata-madesimple.com/forecasting-the-fashion-future-big-data-comes-to-rescue-fashion-designers/

    The article I chose is discusses Big Data is playing a crucial role in fashion industry. This article is interesting to me since designers can predict consumer preferences and so on by using Big Data. Designers would release photos of their collection on Social Media, such as Facebook, Twitter and Instagram and analyze the responses. Not only Designers but also companies can see a lot of things through these responses and then adjust. Also, big data is an available way to help give the inspiration to the fashion industries.

  • http://blog.bizzabo.com/marketing-conferences-2016-a-guide-to-great-marketing-events

    This current event article lists marketing events that will occur globally throughout 2016. The conference name, location, a description of the conference, date, and cost to attend, are all included in a chart. This chart is a clear and well-organized representation of data. As a marketing major, I found this article interesting because I think it is a great way for people to find marketing events in their area that they could attend to gain more knowledge about their career or develop new business techniques,

  • Profile photo of Nhan Nguyen

    http://www.ibmbigdatahub.com/blog/how-improve-bank-fraud-detection-data-analytics
    This article discusses how data could be used to formulate a strong bank fraud detection strategy. According to the article, by developing advanced data analytics software that recognizes suspicious patterns (such as unusually high purchases of popular items, multiple accounts being opened in a short period with similar data, etc.), banks can quickly detect and act on potential fraudsters, thus minimizing losses for both the financial institution and its customers. Banking data analytics therefore provides an effective tool to fight against bank fraud.

  • http://www.foxbusiness.com/features/2016/01/25/super-bowl-50-ticket-prices-plummet-after-patriots-loss.html
    44
    This article discusses the change in ticket values after this past Sundays AFC championship. Ticket prices decreased 38% after this past Sundays game, as a result of the New England Patriots losing to the Denver Broncos. I find this data especially interesting being that the game is held in Levi’s Stadium located in San Fransisco, CA. The stadium is significantly closer to Denver then New England.

  • http://flowingdata.com/2016/01/19/how-you-will-die/ This was the article that interested me the most. This article is from flowing data. The tittle of the article attracted and interested me the most. “How will you die” got my attention out of the blue so I read that article. The article mainly tells how you will die according to the data collected from the past 15 years. By looking at the causes of death for past 15 years, the data could tell us how we are going to die depending on our age. If you are young, you are most likely to die due to an external force rather than a disease. If you are old, over 40, you are most likely to die because of a disease than an external force.

  • Profile photo of Linh H Dang

    http://fivethirtyeight.com/features/you-cant-trust-what-you-read-about-nutrition/

    The reason this article caught my eye in the first place is that I am currently worried about how a popular Facebook page in my country is posting random nutrition facts gathered from dubious sources all over the Internet. This page has more than a million likes, making misinformation even more devastating.

    This article explores the fundamental flaws of common methods of nutrition research and suggests that a breakthrough in data collection is needed for us to find more accurate and meaningful results. The article is interesting to me as it poses two important questions: When will we have this breakthrough ? In the meantime, what should we do about our food ?

  • Profile photo of Yan Chen

    http://fivethirtyeight.com/features/billion-dollar-powerball-lottery/
    The lottery bonus is a hot topic recently. The huge number of bonus made more people expected to get the money. And the tickets had been sold even more than three times of the population of the United States. These data of lottery exposed people’s desire of unearned money, and can control a lot of people through relevant methods.

  • Profile photo of John Barone

    http://fivethirtyeight.com/features/most-americans-arent-middle-class-anymore/
    This article explains the decline in the middle class and middle income households in America. Politicians make this out to a be a bad thing but there are many factors that effect this decline and they are not all bad. First off, the population is living longer and the average person is older which cause the median income to drop because retirees have little income. Also, there has been rise in upper income households and not a very big increase in low income households. Immigrants are known to have a lower income than a US citizens and there has been increase in immigrants in the US lately. All these factors cause the middle class to shrink and it is not as bad as it seems.

  • Profile photo of Qisheng Chen

    http://www.theguardian.com/business/2016/jan/27/investor-worries-brexit-sterling-volatility-eu-referendum
    The reason why this article attract me is that it explain the worries of investors about the influnce of Brexit on money market. There is no doubt that Britain exit from the EU is the heated issue in international society. Many investors afraid that Brexit will create a negative effect on money market. As a result, they decide to sell their pound. This article use data to illustrate this trend in money market and make some predictions. As a risk management and insurance major student, I gain a lot from this article about how to avoid the risk in money market.

  • http://www.bbc.com/news/business-35398423
    This article I chose is about the economy situation of Russia recently. It is said that the Russian economy was influenced by the oil price greatly. Although this is a piece of economic news, it uses many data to illustrate the problem, for example, like comparing the GDP in two years, oil price, government budget, currency change, unemployment and so on. Something surprised me is that the data show us there are some US business entities try to prolong their business hours to adjust that situation. I do not know this method would help or not. But the data in this article really present us how strained economic situation Russian is suffering from right now.

  • Profile photo of David Connor Bissig

    http://www.bbc.com/news/world-europe-35425735

    This article is about the on going immigrant crisis in Europe. There is really no good answer to the issues that they face, I personally feel like the developed world should help take care of the under developed, but frankly, once you see the numbers of people they are dealing with, its frankly not possible. This is all important because this is the largest mass migration of people of our times, at least with in the last century, and is only getting worse not better. The numbers make it clear that only more immigrants will be showing up over the next few years and most all European countries are at or past capacity to deal with them.

  • Profile photo of Melissa Ashley Huck

    http://fivethirtyeight.com/features/december-jobs-report/

    This article discusses how the job market in the United States ended in 2015 on an unexpected high note. The new year is now in question due to it’s rocky start. The new year has also begun with a giant plunge in the China stock market. This interested me because my major is Finance and am looking into the investing aspect. Although this is an article about the current job market, a lot of data has been collected to prove this. Data from different companies employment, to people who are unemployed but looking, and people who are unemployed and not looking for a job have all been collected. All of these data sets were accounted for before the making of this article.

  • http://blogs.ft.com/ftdata/2016/01/26/datawatch-opinions-on-trump/

    This article shows the populations opinion on which candidate would make a terrible president. It is surprising as most of the polls have Donald Trump winning the republican primary. However this polls shows that 38% of U.S. adults think Donald trump would be a terrible president, which is 10 percent higher than the next person. I find this very interesting as Donald Trump as of now is the most favorable candidate out of the republican party backed by recent polls to represent the republicans in the next presidential election. So this has me questioning if i can believe the polls that the news outlets put out or is it too early to say, and why if people think hes going to be a terrible president continue to back him.

  • Profile photo of Xiaowen Yang

    http://fivethirtyeight.com/features/is-uber-making-nyc-rush-hour-traffic-worse/
    I find this article from FiveThirtyEight and it is talking about a very popular ride-to-hire company which is Uber. The main topic for this article is Uber making NYC rush-hour traffic worse. I am interested in about this article because I really like using Uber than taxi when I go outside for the long distance. In my experience, taking Uber as a traffic tool is better others, not only we can call the drivers anytime and anywhere, but also it is comfortable. From the article, there is a lot of data to find out the answer. Analyzing the data from the research, the fact is more and more people like to using Uber, but the Uber company already try to reduce the cars number off the road and they will still keep doing so. The number of Uber pickup is increase, but we can not trough this data to prove the every car is belong to the Uber company. But we can not deny that more and more people like to using Uber.

  • Profile photo of Joseph A Guadagno

    http://fivethirtyeight.com/features/the-stock-market-is-not-the-economy/
    This article is a basic reminder to the rational investor that a heavy downward trend in the market is not necessarily the indication of Judgement Day. In fact, the numbers posted by the stock market in the new year are highly precedented, occurring in in 21 of the past 66 years. What people need to understand is that pulling out of the market does not any way impact the overall economy positively, but rather, creates economic instability and causes unrest in the public eye, both nationally and internationally. The belief that every market downturn is the proverbial “doomsday” is an absurd rationale that only causes an unnecessary uproar and sense of distrust in the nation from foreign markets. The key point of this article is to remind American investors that a trigger-happy selling mindset can not possibly benefit us. We must remain calm, stick to our guns, and hold out in these small rough patches if we’re ever to gain anything individually, nationally, and globally. It is our duty to keep the American markets strong, and not cast doubt on historically sound investments over some relatively common hysteria.

  • Profile photo of Samantha Ann Regan

    http://www.dataversity.net/big-data-analytics-do-machines-have-biases/

    This is an article that reminded me of a topic we discussed during on of our classes. If we did not discuss it during class I would think it is ridiculous to say that computers or machines have biases like humans do. Although, during class we said how if you search an item it can appear on outer websites or your Facebook because the search engine knows that you were interested in that particular item. In this article it addresses the fact that computers and machines can be bias too. It doesn’t take just more data to eliminated other data that can be swayed or tainted. These biases come from the data the machine is using. An example that was used in class and this article deals with Hurricane Sandy. Since machines would collect the social media data, like tweets, it seemed as if Manhattan was hit the worst but it didn’t include data from the poorer areas were misrepresented because they could not tweet about it. When using analytics, data scientists need to account for things like selection bias.

  • http://fivethirtyeight.com/features/spurs-warriors-is-the-best-defense-offense-clash-in-nba-history/the
    Article forecast and advertise an important on Jan 25, 2016, Spurs vs Warriors. Although we have gotten the result, Spurs 120-90 debacle at Golden State, the article gives the data to show the importance of these two best team in NBA now. Spurs, the best of defense, and Warriors, the best of offense. In fact, they are not only the best nowadays, but also the best in the history, which is the loftiest NBA game ever played according to in-house Eloratings. The data really confirms that they the best defense and offense teams in the NBA history. But it is a normal game in regular season, and I am really looking forward to the rank in playoff.

  • Profile photo of Nurrin Ajmal Nurrinanuwar

    http://fivethirtyeight.com/features/why-betting-data-alone-cant-identify-match-fixers-in-tennis/#fn-3

    This article is interesting because it shows that almost everything in this world is corrupted, which in this case it’s because of match fixing in tennis. I like this article because it shows that corruption is a problem that is hard to overcome even though today there’s tons of data that can be collected and used to overcome the problem. This article proves that even with a lot of data being collected these days, human behavior will always change dynamically. No two collections of data can ever be equally the same as one another. In data collection, I guess small variation do make a big difference and we can’t only rely on data to understand human behavior.

  • Profile photo of Michael L Baker

    http://www.theguardian.com/business/2016/jan/27/federal-reserve-interest-rates-unchanged-global-markets-recession

    – As an economics major, I always find the market place activity interesting. I think we could be on the edge of a very slippery slope. This of course correlates to the federal reserve and the worth of a dollar. Hopefully it’ll be picking up from here, but I won’t be the only one finding the data of the stocks interesting if it doesn’t!!! I think more people will start to pay attention.

  • http://iopsych.msu.edu/koz/Recent%20Pubs/Kozlowski%20et%20al%20(in%20press)%20-%20Team%20Dynamics-Big%20Data.pdf
    As a psychology major i find organization and interpersonal relations interesting. This artical is about using big data to study team dynaics. They used a data constraint to limit the information that they filtered through and discuss the process of utilizing big data in the study of “team-level phenomena” such as cohesion and collaboration. This artical shows a good utilization of big data in psychology but also points out the need to develop data mining techniques within this feild.

  • Profile photo of Andrew T Davis

    http://fivethirtyeight.com/features/a-sanders-comeback-would-be-unprecedented/
    This fivethirtyeight article summarizes the current uphill battle that Bernie sanders is currently facing in order to still capture the democratic nomination for president. Taking into consideration the remaining primaries, and the number of delegates he would need to win in order to overcome the comfortable lead that Hilary Clinton has established, he would need to not only win all of the remaining primaries left until the democratic national convention, but also for Hilary Clinton to begin loosing in states she has been known to succeed Also taking into consideration the national polling average, along with the polling average in all of the remaining states with primaries, the chances for a Sanders victory has now become more unlikely everyday.

  • Profile photo of Laura Nguyen

    http://www.theguardian.com/australia-news/datablog/ng-interactive/2016/may/03/your-tax-dollars-how-is-the-government-spending-your-money

    This website gives an interactive graphic of how the government is spending our tax dollars. This article is interesting because we all pay taxes and it gives an insight as to what what our money is being used for. It also shines a light as to what expenditure takes up the most money. This website lets the user see how much of their money is taking out by adjusting your projected income.

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Office Hours
Laurel Miller (instructor) 9:30am-10:30am, Tuesdays and Thursdays, Speakman Hall 210 or by appointment.
ITA information
Zachary Cehelsky-DeAngelo (ITA) By appointment only. Email: zachary.cehelsky@temple.edu
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