Section 004, Instructor: Mark Sabat

Weekly Question #2: Complete by February 2, 2017

Leave your response as a comment on this post by the beginning of class on February 2, 2017. 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.

52 Responses to Weekly Question #2: Complete by February 2, 2017

  • https://www.theguardian.com/travel/datablog/2016/jul/30/where-do-brits-go-on-holiday

    This is a very interesting article about where do people often travel from UK and to UK. According to this article about 65.7 million Brits made trips last year. It also talks about which are the popular destination.

  • fivethirtyeight.com/features/trump-is-doing-what-he-said-hed-do/
    I found this article interesting because it talks about how modest trumps victory was. I really enjoy reading articles that do an data driven analysis of election, I was watching the live data on election night. The article listed data about how trump ranked against the past 25 elections and the data showed that the only other president besides Trump to have a negative margin on popular vote was George Bush.

  • https://projects.fivethirtyeight.com/clinton-trump-hip-hop-lyrics/
    this is an interesting article as it shows the references of all the 2016 president candidates in a database of songs. It turns out that the data set was rife with Trump, whose prominence and longevity as a figure in hip-hop is staggering. He and his brand have been referenced in 266 songs dating back to 1989; in one year alone (2013), there were 33 references.

  • Despite strong fourth quarter earnings and forecasts at the end of 2016, investors are worried about how the economy will respond to President Trump’s policies. He has been met with criticism prior to his election, yet his recent acts, such as the immigration ban, have garnered international criticism, which are expected to negatively affect international markets.
    From an international business standpoint, the initial weeks of Trump’s presidency will set the tone of how other countries view and do business with the U.S. The Fed is hopeful to forecast what the Trump administration has in store to minimize potential economic repercussions. Its hope is that Trump can follow through on his plans, such as cutting taxes and regulating less, to stimulate the economy and create more ease in the global market; however, the uncertainty definitely has international investors on edge and curious to how his political agenda will affect global economic, social, and political environments.

    Source: http://finance.yahoo.com/news/investors-upbeat-data-fed-wary-180320982.html

  • From an MIS prospective I found an article that talks about how to truly delete data in today’s technological age. All data is is stored on a physical device so you can erase data that you have control over. in addition data sanitization is also an option to wipe drives through overwriting them enough times. But the major point that I learned is that data is always easier to make then it is to delete.

    Source: https://fivethirtyeight.com/features/what-it-takes-to-truly-delete-data/

  • This fact-checking story by the Washington Post regarding President Donald Trump’s immigration ban on seven countries is very interesting. The story uses the data provided by the President and deems it “old,” adding new and more exact figures of how many people — upwards of 90,000 people — that have been affected by the ban. The data surrounding these people is filtered from several different places, like government agencies such as the Department of Homeland Security or even an open-data Google spreadsheet keeping track of over 300 Iranians’ journey to the U.S.

  • I found an article on where the hot places to go “on holiday” are in 2017. This interests me because I love to travel, and no matter what job I get into I would enjoy traveling to different offices of just flying somewhere with my extra time. I found this website under the “Great Data Sites” tab on the right side of this page. The article just shows the top places and a little bit of information on each one.
    https://www.theguardian.com/travel/ng-interactive/2017/jan/07/where-to-go-on-holiday-in-2017-the-hot-list

  • http://www.dataversity.net/first-ever-gps-data-release-boost-space-weather-science/
    It’s cool to know that the Los Alamos National Laboratory released data on space-weather. It is said in the article that . “The newly available data gives researchers a treasure trove of measurements they can use to better understand how space weather works and how best to protect critical infrastructure, such as the nation’s satellites, aircraft, communications networks, navigation systems, and electric power grid.” It’s not relevant to my major as I am a CIS major, but I do find space interesting. The technology of data will soon change everything.

  • http://fivethirtyeight.com/features/how-our-oscars-tracker-works/

    I found this article about how “FiveThirtyEight” uses data to predict The Oscars’ winners. I think this is an interesting article because I love watching movies and all the events related to movies. Also, I like the data that they use to make their predictions. For example, they use historical data to find all the winners from up to 25 years ago, and use those winners as a hypothesis of how “representatives of the academy’s thinking.” They also look at other awards, and how many times the person who won that award won the Oscar too.

  • https://www.nytimes.com/interactive/2017/01/18/us/politics/How-Crowds-at-the-Capitol-Have-Been-Counted.html?_r=0

    This article talks about being able to count the number of people in a large crowd. I think the different techniques they use to count are very interesting. Using Google earth and ariel views is the main way. It is weird they use a similar method as “counting the number of jelly beans in a jar” with density and average size.

  • http://www.forbes.com/sites/geoffwilliams/2017/01/30/1-33-billion-chicken-wings-to-be-eaten-on-super-bowl-sunday-and-more-food-factoid-fun/#603a06f38119

    Major: Statistics

    This is an interesting (and kind of fun) article about food consumption on the day of the Super Bowl. On Super Bowl Sunday, we eat the second most amount of food in a day (Thanksgiving is first). 1.33 billion chicken wings are consumed and 12.5 million pizzas are ordered on this day. This data may be questionable or unreliable because the amount we consume does not always equal the amount of food we order.

  • https://fivethirtyeight.com/features/the-patriots-are-even-sneakier-than-you-think/

    This is an interesting article about how effectively the New England Patriots run the QB sneak. Even though the play is designed to gain a couple of yards the Patriots take advantage of their personnel and they practice it during the week. That way on Sundays the Pats have converted the first down on 105 of 113 tries (93 percent) which is an amazingly efficient percentage.

  • http://www.pewsocialtrends.org/2017/01/11/behind-the-badge/

    This article talks about how police view their jobs from a psychological and emotional perspective in light of recent civil unrest regarding unequal treatment on the basis of race/gender. This was interesting particularly because the research shows that conflicting experiences and emotions mark police culture. Often surveys measure public option and emotions/attitudes of those populations being targeted, but have not assessed the emotions/attitudes of the very people who are protecting/enforcing the law during this revolution and how it has changed their perspective about their job and their communities.

  • https://fivethirtyeight.com/features/russell-westbrook-does-everything-fast-for-better-and-for-worse/
    This article takes an interesting look at one of the NBA’s most electrifying superstars and the rapid pace that he plays at. Russell Westbrook of the Oklahoma City Thunder is known for his unbelievable athleticism among basketball fans, and the data used in this article provides concrete support of that belief. Statistics featured in this article include the number of transition plays, score percentage and turnover percentage for the 2016-2017 season.

  • https://projects.fivethirtyeight.com/congress-trump-score/
    I found this article to be extremely interesting because it is constantly updating its data as members of the senate either agree or disagree with Trump. It shows you how often the senators vote with or against Trump, how likely they are to do so, and Trump’s margin. It does this with the House as well and even tells you specifically how many members of the Senate and House voted for and against certain bills and nominations.

  • The City of Seattle and the University of Seattle hosted a workshop called “Big Data and Human Services,” which was sponsored by Amazon, Comcast, and Microsoft. The event was focused on how the use of big data and data analytics can be used to improve the quality of cities in the United States. City governments can use data to drive decision-making in issues related to education, homelessness, and transportation.Last year, the City of Seatle signed a policy regarding open data which makes data about city issues, such as homelessness and local parks, more easily available online.
    http://www.geekwire.com/2017/big-data-can-transform-cities-save-lives-uw-seattle-brainstorm-solutions-education-homelessness-transportation/

  • https://www.bloomberg.com/features/2016-venezuela-cafe-con-leche-index/

    I found this article to be a good read, for we have been constantly hearing about Venezuela’s failing economy and its soaring inflation. Given that there is no official data regarding the country’s inflation, I found it quite fascinating that Bloomberg was able to create their own inflation gauge and come up with some interesting figures in the end.

  • https://www.nytimes.com/2017/01/08/technology/data-regulators-google-facebook-monopoly.html?_r=0

    This is an article about how data could start to be the leading front in regulating different companies around the world. Data is starting to show that big companies like Facebook, Google, and Apple could be accused of tax evasion. This new data could lead to having a strong grip on companies and not letting them get away with criminal activities.

  • This article talks about an important part of big data that isn’t discussed everyday. People are constantly worried that people will steal their data now but don’t think about what happens when they die and can’t watch over it. Digital assets were never ours to begin with rather they were licensed to us. Personal data, however, is out in the open. While some businesses track this information, a dead person can’t rescind this info to going to a third party that would use it in a negative way. As said in the article, as a dead person you can’t tell Google or Apple to delete the trail of GPS data they have on you. In addition, keeping this information from third parties that could benefit from your personal information is a dangerous idea to think about alive.

  • http://www.forbes.com/sites/bernardmarr/2017/02/01/what-really-happens-to-your-big-data-after-you-die/#a5c1e8621979

    This article talks about an important part of big data that isn’t discussed everyday. People are constantly worried that people will steal their data now but don’t think about what happens when they die and can’t watch over it. Digital assets were never ours to begin with rather they were licensed to us. Personal data, however, is out in the open. While some businesses track this information, a dead person can’t rescind this info to going to a third party that would use it in a negative way. As said in the article, as a dead person you can’t tell Google or Apple to delete the trail of GPS data they have on you. In addition, keeping this information from third parties that could benefit from your personal information is a dangerous idea to think about alive.

  • https://projects.fivethirtyeight.com/soccer-predictions/?ex_cid=rrpromo
    Cool link with lots a data about the Premiere League Soccer in Britain. The three categories on the chart aren’t raw data but analyzed data that included a power index and two types of season predictions.

    kinda unrelated
    Go Man City! -My British roomate

  • https://projects.fivethirtyeight.com/pollster-ratings/

    I found this interesting because of the importance it carries. Throughout the election and since Trump’s victory, there has been a lot of talk about “Fake News”. A section of “Fake News” are polls regarding high level politicians and general political polls. President Trump has repeatedly attacked CNN, Wash. Post, NY Times, for their coverage of him. On the other hand he has also praised Fox News for their coverage. This graphic shows the rating of each polling institution like CNN/ORC, Quinnipiac, Fox, MSNBC, etc. One of the best things about this info chart is the bias indicator. It could serve as an eye opener for Republicans and Democrats who think their favorite news organization is not biased.

  • https://today.yougov.com/news/2017/01/31/Super-Bowl-TV-advertising-main-event/
    With the big game coming up this Sunday I thought finding a article with super bowl data was very fitting. The data in the article has to do with how important the super bowl is in terms of commercials. Commercials during the super bowl consistently enhances the brand of the company being promoted as well as drives people to go out and buy a certain product. The super bowl is one of the most watched events in the world and the amount of eyes that see the game, and the commercials is staggering.

  • http://www.bluevenn.com/blog/72-of-marketers-consider-data-analysis-more-important-than-social-media-skills

    This report has shown that data analysis is the most important skill out there for marketers, surpassing social media skills. You can download the .pdf that goes more in depth about their study. Marketers don’t want to be immersed into data science. But, if they don’t, a data skill gap will only widen. This will hurt their career, productivity, and efficiency. There’s a fact that says, 27% of marketers still have to hand data analysis over to the IT department”. Data analysis is such an important skill and it is a need that is alarmingly increasing each year.

  • http://www.pewresearch.org/fact-tank/2015/08/19/how-do-americans-use-twitter-for-news/

    This article discusses how different Americans rely on twitter for and as a news platform. This was fascinating to me because first, twitter was talked about in the class reading from another perspective and it seemed interesting to me how it could be used in this form too. Secondly, the article gives data about how many Americans tweet the news and URLs and why people would just resort to twitter rather than other means.

  • http://flowingdata.com/2016/01/19/how-you-will-die/
    I found an article that contains a simulation of how you will die at what age depending on age, race, and sex. It uses data from the Centers for Disease Control and Prevention which categorizes 113 subcategories into an umbrella of 20 categories of disease and external causes of death. The dots of each year of your life fill up with the most probable category that you may die from. Real interesting and kind of depressing.

  • http://www.cnbc.com/2017/01/20/super-bowl-billions-the-big-business-behind-the-big-game.html
    This article I found was on the “Super Bowl Billions” it was quite interesting to me because i love football and seeing all the preparation and money that goes into the biggest event of the year. As you read the article you can see the amount of money and profit they make off every superbowl depending on how many tickets are sold, the ticket packages, the after parties, and especially what stadium is hosting the event each year. This year is Houston, Texas and they have funded so many events prior to the actual even to raise money to pay off the cost of the event, but they also make a huge profit.

  • http://flowingdata.com/2012/04/17/why-1m-netflix-algorithm-never-went-to-production/
    I stumbled across this article which looks at how Netflix came up with an algorithm that, if used, would gain them a million dollar profit. However, it explains how based on the data they collected to make the algorithm the pay out and additional engineering effort that was required to install it wasn’t worth it. This is particularly interesting to me as an MIS major because I find it fascinating how the collection of user data can be applied to a recommendation system that would enhance their business. Applying data to business by wiring it into the technology behind all of it is something that almost every company can utilize nowadays and makes the world of technology that much more powerful.

  • https://fivethirtyeight.com/features/a-third-of-the-u-s-says-being-christian-is-a-key-part-of-being-american/
    This article talks about how one third of the nation says being Christian is a key part of being American. I found this to be interesting for a couple reasons. First, I just read another article that stated that some countries in Europe such as Sweden have a 99% atheist millennial population. Because of this, I was surprised to see that the US still considers religion to be a huge part of our society.

  • https://fivethirtyeight.com/features/russell-westbrook-does-everything-fast-for-better-and-for-worse/

    This article looks more in depth at the play of Russell Westbrook. He shows that, though he is among the fastest open court players in the league, his turnover rate extremely high and the rate he finishes in transition is low. Though Westbrook appears to be a superstar, which he still is, a lot of times his aggressive way of playing hurts his efficiency.

  • https://fivethirtyeight.com/features/stocks-fell-are-investors-finally-taking-trump-at-his-word/
    This article talks about the market numbers since the election of President Trump. It is interesting because it talks about how no one expected Trump to win so the market crashed on election day but eventually grew very well because of cautious optimism. Now however the market data shows that that growth is slowing down and that some people are worried that TRump will not take head of the advice of some people like Paul Ryan and go ahead with some of his off the wall policies. One will have to keep constant track of market data to see how each move effects the economy.

  • https://fivethirtyeight.com/features/russell-westbrook-does-everything-fast-for-better-and-for-worse/
    This article talks about Russell Westbrook and his play and it shows that everything he does on the court is fast and that he is one of the fastest players in the league. What people do not realize when it comes to Russell Westbrook however is that this fact hurts his game in some ways and helps it in others. Since he plays at a different speed than everyone else it can appear that everything comes easy to Westbrook but his quickness can also be a downfall of his as well. He has a higher turnover rate than most other people in the NBA and this is because often times he is moving too fast and putting himself in bad situations because he can be out of control. Even with this flaw he is still one of the best players in the league today and he is definitely a one of a kind type of player.

  • https://www.nytimes.com/interactive/2017/02/01/us/politics/obamacare-approval-poll.html?rref=collection%2Fsectioncollection%2Fupshot&action=click&contentCollection=upshot&region=rank&module=package&version=highlights&contentPlacement=3&pgtype=sectionfront

    This data story shows the differences in public opinion about Obamacare when the law was first introduced and how approval of of the law has increased now that President Trump has taken office, despite its lack of success in bringing down healthcare costs. I find this interesting because although the law has no tangible benefits, certain demographic groups are taking its side simply because it is anti-Trump.

  • https://www.usi.edu/recycle/solid-waste-landfill-facts/
    This data shows that U.S is the number one trash producing country in the world. “This means that 5% of the world’s population generate 40% of the world’s waste.” I find this information very interesting because on average it costs $30 per ton to recycle trash and $50 to send it to landfill. However we recycle less than 25% of our waste.

  • https://www.entrepreneur.com/article/253022
    This article is intriguing because it shows you how marketing firms and organizations are using social media data to market to their consumer. The article suggests that you can use social media data to target your audience, which is a great idea because the company doesn’t have to market to everyone but instead to a specific demographic or audience. This article shows that using social media data can be the difference in profits and consumers.

  • http://flowingdata.com/2012/01/11/vehicles-involved-in-fatal-crashes/
    This data shows the number of vehicles involved in fatal crashes. The graph shows that most accidents on Friday, Saturday, and Sunday. The is very detailed and fairly complete, with columns for weather, number of people involved, date and time of accidents, and a lot more. We can analyze from this data that more accidents occur during holidays since people travel more.

  • Data: If Waffle House Is Closed It’s Time to Panic

    https://fivethirtyeight.com/features/if-waffle-house-is-closed-its-time-to-panic/

    I thought this article about the waffle house was interesting for many reasons. It seemed like many people were not paying attention to the data themselves for severity. Instead, they would determine how serious the storm was based upon if the waffle house closed or not. Some of the data collected in this piece was information about the employees in case of an emergency, information about the restaurant operations, and information about the strength of the storm. Also information about Waffle Houses throughout the region.

  • http://www.benefitnews.com/news/workplace-stress-levels-dropping?tag=00000151-16d0-def7-a1db-97f024b50000
    This article is about the levels of stress dropping within the workplace. 36% percent of respondents reported a stress level of 2 on a scale of 1 to 5. Two years prior, 33% of respondents reported a level of 3.

  • https://fivethirtyeight.com/features/stocks-fell-are-investors-finally-taking-trump-at-his-word/
    I found this article interesting because it has relevance on what is happening now. What it explains is that stocks have fallen for the first time since trump was elected because of the skepticism of investors.They thought Trump most controversial proposals were not going to happen and that he would manage the country as a normal republican.But instead since the immigration policy he has stated and all of the controversy that this brought has mad that investors start taking Trump seriously.

  • https://www.shrm.org/hr-today/news/hr-magazine/pages/0216-hr-analysts.aspx

    This article discuss hr analysts growing into more professionals roles. As a HR major I find this interesting because it will help me access the number of jobs.

  • http://insidebigdata.com/2017/02/01/data-from-uber-movement-means-a-bright-future-for-cities/

    This article discusses the data that Uber monitors and then applies to future rides to predict an ETA. It’s called Uber Movement, and unlike google maps which just gives a general ETA for your current time, it allow you to monitor what things might look like a week from now. I found this interesting both as a busy person and a user of Uber because it allows you to plan even better.

  • This article is interesting because it describes all aspects of big data. Although, as it states, in our time of age there is so much data that facts are often buried under tons of populism, there are also many benefits of big data. We are now able to use data to help with important tasks such as, human rights monitoring and prevention, the Witness Program, the fight against terrorism, and more. This article also covers that data can be further used in the introduction of social, health, and natural science methodologies, alongside the use of new technologies in undergraduate and postgraduate media studies programs.

  • http://fivethirtyeight.com/features/before-you-call-your-senator-read-this-on-how-our-trump-scores-work/

    This article was interesting because it features a tool which tracks how often members of the House and Senate vote in line with Donald Trump on bills and nominations. Using this information, it tries to predict the probability of a member voting either way on a bill. This is calculated by something called “probit regression”, which is a type of regression I had not heard of prior to this article.

  • https://ojrd.biomedcentral.com/articles/10.1186/1750-1172-1-6

    This article was interesting because it was giving information of the ratio between men and women rates that has Lupus. The article speaks on the percentages of the people that are highly affected by the autoimmune disease. I relates to Data science because it gives tracks the patience every year. This article relates to my major of Public Relations because it doing the job or a P.R agent by putting the information about the healths of individuals in America, out to the public using numbers and rates so everyone can be alert.

  • https://www.bloomberg.com/view/articles/2016-12-08/no-big-data-didn-t-win-the-u-s-election

    This article is interesting because it discusses a company Cambridge Analytica which creates a profile for individuals based on their interactions with social media and any other database it can, “get its hands on” and assigns a number value to individuals. This is particularly interesting because this number value is based on a variety of characteristics, “OCEAN criteria: Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism,” and as you can imagine is incredibly valuable. This was the metric by which the political parties vying for presidential election determined who would be the easiest voters to sway. Trump’s campaign integrated this metric into their canvassing application and went so far to tell the canvassers which doors to knock and which potential voters to call.

  • https://fivethirtyeight.com/features/how-trumps-supreme-court-could-overturn-roe-v-wade-without-overturning-it/

    Found this article really interesting as of current events that are happening right now and its effects on our country. They discuss the possibility that Trump’s supreme court candidate selection could technically overturn Roe v. Wade without literally overturning it. The article uses a data visual of liberal vs conservative decisions made in different courts based on the selection. Most interesting part of the article was that in the conclusion they quote that if Trump could select more than one person for the court then the whole legal system would tilt.

  • http://www.iamwire.com/2017/01/big-data-fashion-industry/147935
    This article is interesting because big data hasn’t really been introduced into the fashion industry until the rise of the Internet and social media. In this article, they are collecting things that people comment to spot trends and predict the next big things. This is giving many companies an edge against competitors and is allowing them to get a better look into what their customers are thinking.

  • http://www.businessinsider.com/how-many-people-use-snapchat-user-numbers-2017-2
    This article is interesting because it is about the insane amount of users Snapchat has daily and the average time people spend within the app. Each day 158 people open up Snapchat approximately 18 times a day in total, and spend 30 minutes on it. This is also interesting to see because of their recent IPO. It will be interesting to see if their growth continues on a wide scale or if it grows less over the next year.

  • https://www.nytimes.com/interactive/2017/02/01/us/politics/obamacare-approval-poll.html?rref=collection%2Fsectioncollection%2Fupshot&action=click&contentCollection=upshot&region=rank&module=package&version=highlights&contentPlacement=3&pgtype=sectionfront&_r=0

    This article shows the difference between public opinion about Obamacare when the law was introduced in 2009-2010 and how the approval of the law was increased now that Trump has become the President and took over the office. It has a lack of success in bringing down the healthcare cost. It is interesting because some of the demographic groups are taking the advantage of it because it is anti-trump.

  • https://www.census.gov/newsroom/facts-for-features/2016/cb16-ff10.html
    This article shows data on hurricanes and is a resource for emergency managers. This is relevant for me because I’m getting ready to enter a career in emergency management and it’s important to have access to recent data about any and all potential threats that might cause the population served to need to react in a dramatic way, such as through an evacuation.

  • https://fivethirtyeight.com/features/as-u-s-life-expectancies-climb-people-in-a-few-places-are-dying-younger/
    This article shows the your life expectancy can vary by as much as 20 years depending on which county in the U.S. you live in. This new study adds to a growing body of research showing that race, education, wealth and where you live can help determine how long you will live.

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Office Hours
Mark Sabat (instructor) 2:30-3:30pm, Tuesdays and Thursdays, Speakman Hall 207h or by appointment.
ITA information
Michael Miller (ITA) By appointment only. Email: tuf88838@temple.edu