Section 003, Instructor: Shana Pote

Weekly Question #8: Complete by March 30, 2016

Leave your response as a comment on this post by the beginning of class on March 30, 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 again, 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.

58 Responses to Weekly Question #8: Complete by March 30, 2016

  • Profile photo of Matthew Major

    My article is about how low wages are a double edged sword, as being both a consequence and a cause of low productivity in the global workforce. I like how it mentions both sides of the situation, addressing how in one way, people will work harder with a higher wage (which covers the cause side) and also how low productivity results in a lower wage (which covers the consequence side). This was interesting for me because I find myself in conversation about this all of the time. Personally I feel like this current generation is less of “go getters” and more of what I would call “waiters.” Rather than go out and work hard to get the higher wage, they will sit back and expect more for what they are doing (take the Mcdonald’s workers striking for $15/hour wage for an example.) That is a prime example of one sitting back, complaining, and waiting, rather than going out and doing what’s necessary to advance. Nobody ever said it will be an easy task to do so, and why should it be? If there was no incentive to work hard, we would be lacking hard workers all together.

  • Profile photo of Kashif Hasan Malik

    My article talks about the predictions of the 2016 NCAA tournament and which teams have the highest probabilities of reaching the championship game. This was interesting to me because usually people predict the tournament based on intuition or who’s on a winning streak heading into the tournament, however, this article combines many factors and data sources to come up with a table. They have gathered sources from computer power rankings, preseason ratings, LRMC ratings and many more. Using these sources have allowed them to create a table for every team and the probability of that team reaching the sweet 16 and the championship game which was really intriguing to me. Go Owls

  • Profile photo of Ashley Charlton

    I picked this article because the title stuck out to me, when I first saw it I was curious how failure could be moving science forward. The article talks about how hard science actually is. Taking a study and repeating to see if the results are the same, making the evidence true or if the results are different, meaning the evidence is false is not as easy as people think. The author is saying however that it is good to have failures while replicating a study because usually the original results show some sort of bias. Reading this article it makes sense that failure moves science forward. The “failures” are actually proving and creating results for tests which helps scientists or experimenters realize what’s wrong and further their scientific discoveries.

  • Profile photo of Tae Shin

    Article: “Why Donald Trump?’

    The article talks about why people are choosing to vote for Donald Trump, when the media portrays him negatively. The first data visualization shows that republicans are the least trusting of the media; following independents, then democrats. I’ve seen news from the media that Donald Trump is not against the KKK and in the article the writer asks a Trump supporter what she thought about Trump’s refusal to disavow an endorsement from the former head of the KKK. She responds by saying, “If I went online and searched for “Clinton; image; KKK member” it would show up”. I did exactly what she said and I saw Hillary Clinton getting a kiss from Robert Byrd, former KKK leader. I started to think maybe Hillary is a hypocrite, just by seeing that image. However, I did some more research and found out that Robert Byrd became a senator and apologized for his actions in the KKK. Therefore, the people who are voting for Donald Trump are not intelligent enough to do more research and so they are a sheep following a wolf (blindly following a leader). Also, they are hypocrites because they are believing in the media images of the Democratic candidates.

  • Profile photo of William G Roman
    This article uses four data visualizations to prove that primary turnout does not have any impact on the general election. In 2016 primary elections, the Republican turnout is up and the Democratic turnout is down. The article says that voter turnout is an indication of the competitiveness of a primary contest, not of what will happen in the general election. This means that the GOP presidential primary is more competitive than the democratic race. The article uses data from past election years when the political party with higher turnout during the primaries won the general election 50% of the time. The article also used a few other measures, such as change in turnout and percentage change in primary turnout, to prove that primary turnout has no relation with the outcome of the general election. I found this article interesting because we are hearing about the outcomes from all of the primaries, but they are no indication of what will happen in November.


    This article stood out to me because I’m a huge Bernie Sanders fan. I was actually unaware that his campaign was filing suit against the DNC for not allowing the campaign to access its own voter data due to improperly accessing Hillary Clinton’s data file when a firewall went down between the data of the two campaigns. This article is about data accidentally being made open data and how this can be problematic. Hopefully everything gets worked out between the Sanders campaign and the DNC. I personally don’t think it was right for the DNC to shut off access to the Sanders Campaign from its own voter data.


    This article compares how the fashion industry, more specifically in the retail market is paying more attention to their usage of data. Data is the new oil,The companies that will win are using math” said Kevin Plank, founder and chief executive officer of Under Armour, in a talk on brand building. This is especially interesting as more companies are utilizing new innovations that focuses on branding their product in a more personalize way. What I also found interesting was the usage of Conversational Commerce. To better the experience of consumers shopping online, apprehensive research are going into creating a system that link the consumer with the brand. This idea of conversational user interfaces is expected to facilitate a better, more personal experience within the ecommerce realm.

  • This data was retrieved from and I found it interesting because is shows extreme spikes in tuition for colleges in the United States. There are two graphs, one with average increase in tuition rates as a percent, and the other with the average price of the increase. this graph is interesting in a scary way because it shows that tuition rates are skyrocketing.

  • In “Is Wealth Inequality The Future of Capitalism” Steven Ross Pomeroy discusses the direction the American capitalist market may sway in years to come. He explains the equation r>g underlies the separation between wealthy and poor americans, and will account for the greater separation in years to come. R= return for owned capital and G= rate of economic growth. Currently the richest 10% control 71% of wealth and take home 48% of income. This simply means unless the status quo is disrupted (cough cough… by government) the rich will become proportionally richer and the poor proportionally poorer.

  • Profile photo of Isaiah J Carroll
    This article caught my interest because it emphasized how skewed and unused data is even after the Rogoff and Reinhart mishap and the present times of meticulous work. JW Marriot just recently started to use the ETL methood-extract, transfer, load. I know that if I was running a multi-million dollar company that I would have a group of data scientist doing the arduous work of data analyzing, but maybe that’s just because I love numbers. At the same time, I feel like everyone should look at the raw data.


    My article talks about the Golden State Warriors and the evolution of the basketball game. This article stood out to me because the warriors play with a small power forward which was rare in the nba at the time. But now because of the warriors success now big college programs are also trying to implement a small power forward in their lineups to win.

  • Profile photo of Alexandria M Freeman
    This article is a start of a series of questions toddlers ask since they hold so much curiosity. They try to explain what causes us to be right and left handed. This sparked my interest since it is one of those looming question in life that we just assume there are more right-handed people just because that is how it has always been. My family of five has one lefty in it so she is the outlier. Which I realized that handedness may not come from genes but, from this article it can be a factor. Just like with many ways our body works it is affected by our culture, families, and genes. They are still trying to determine what exactly causes handedness but, until then we must accept it as the mystery it is.

  • Profile photo of Junaid K Farnum
    This article is particularly interesting to me because I have been following the race for the 2016 presidency and I’m a supporter of Bernie Sanders, so seeing this data being presented is very intriguing since there are only few democratic caucuses left where he seems to be winning by a large majority. Reading this made me realize that with the democratic primaries left which are run differently than the caucuses will prove whether or not Bernie Sanders has what it takes to catch up in terms of total state delegates compared to his running mate Hilary Clinton.

  • Profile photo of Akshat A Shah
    This article interested me because it shows how a well known company, Google, is doing to help marketers in other businesses. It talks about how they have created new data tools that can help the marketers. The new tools can turn the data gathered by marketers into different types of interactive reports and dashboards. It makes it easier for businesses to market their products. That is why this article about Google and its new ideas interested me.

  • Profile photo of Colin Kelly
    What caught my attention originally was the title of this article. I thought it was interesting that suddenly a number of people are trying to get into the labor force compared to the number of people who originally left the labor force due to a previous recession. Many people going back to work include stay-at-home parents, part-time college students, and early retirees who are trying to find another small source of income. It’s interesting that people are trying to get back to into work but it’s also great news for our economy.

  • Profile photo of Katherine Braccio

    Admittedly, I’m not much of a sports fan, but March Madness is an exception as I have a stake in the outcome, via my bracket and how it measures up to those of my friends. This article about Syracuse’s success in this years March Madness bracket caught my eye, as my bracket is suffering due to the success of teams like Syracuse and the failure of teams such as Kansas, Michigan State, and UVA. This article talks about various KPIs used to measure the success of each team, including a specific KPI called Elo, which measures the success of any team at the given moment. After reading this article, I realized that Syracuse is one of the most improved teams in March Madness history, and seed numbers assigned before play has started can prove to be somewhat arbitrary as they do not always accurately reflect a given team’s ability to perform.

  • Profile photo of Gabriella C Baldini
    The title of this article immediately caught my attention: “Here’s What Happened When Some Dude Ate Like The Rock For A Month.” The sheer numbers in the article (calories per day, meals per day, time to prep each meal, etc.) were interesting/shocking to look at, especially since this kind of diet/exercise regimen isn’t something that the typical person follows. Even money-wise, the guy that did this experiment for a month spent a total of $1262 on food ($42 per day)! The article also included a chart with some of his meals and their nutritional stats. I found it interesting to see how this kind of hyper-specialized diet/exercise regimen stacked up against the average person’s routine. Also, just the prep time alone to meet those kind of caloric numbers/nutrition per day is staggering!

    This article caught my attention when I was scrolling through the culture section of this website which I only clicked on because it seemed like a number of my classmates found interesting articles from this site. My Big Fat Greek Wedding is one of my favorite movies and I have always found it interesting its surprise success. This article highlights how well the movie did in the box office in comparison to other films and I must say that for me I find box office data more interesting than other data sets because I enjoy movies so much. This is a great example of how someone took a data set and manipulated it to present the readers with an article of the movies surprise success. I am planning on seeing My Big Fat Greek Wedding 2 next weekend, so this was a fun article to read.


    This article is of interest to me because next week marks the start of the 2016 MLB season. Every year, analysts predict where teams will finish in the standings and ultimately pick a team to win the World Series. These analysts use a variety of data to make these bold predictions and rely heavily on stats. Likewise, everyday business leaders have to make important predictions and decisions based off of data that they are presented with. Overall, whether you are making an important business decision or predicting the Phillies to finish in 28th place, data can be used in a variety of ways.

  • Profile photo of Alice Nguyen

    This article is interesting because it partly answers the question of why the field of data processing have not managed to make much impact despite the coverage Big Data is currently getting, and correlates well with the information we have been given throughout the course thus far in that when we have so much data readily available, what is important is asking the right questions. The article also points out a need to have a unified system for cataloging data in order to form a more complete picture of any situation lest the state of data processing in the company becomes ‘like a chaotic orchestra where each musician plays independently’.

  • Profile photo of Xiaoxu Liu
    My article talks about the customer spending percent change for different ages. This article attracted my attention because I was surprised by its title: “How Millennials and Low-Income Consumers Are Propping Up the U.S. Economy”. I never think one day the low-income people and young generation would prop economy more than the rich people and middle class do. This is a totally new idea to me. The writer used two bar charts to illustrate the percentage-point contributions to the year-over-year change in consumer spending for 15 metro areas and he also gave readers specific data of the chart, which really helped me to understand the changes of consumer spending percentage.

  • Profile photo of Ryan C Gibbons
    This article talks about Villanova’s basketball team and how they can succeed in the Final Four of the NCAA Basketball Tournament. I thought this was interesting because I am a big college basketball and Villanova fan. This article uses 3-point shooting percentage as a measure of the team’s success, stating that if Villanova can continue to reach a high shooting percentage from 3-point range, they will have a much higher chance of winning the championship.

  • Profile photo of Jason Ly i found this article interesting because it shows how the people react to recent terrorist attacks and the increase in Donald Trump support with closing up the borders. The data in the article shows that the the people of the US are concerned with terrorism and immigrants. Trump will escalate his attacks on Muslims and immigrants in the coming days. His opponents, will press him on his steadiness in office and his fitness to handle a crisis. After a couple of days of coverage from Brussels, the news coverage will revert to being all about Trump.

  • Profile photo of Shuyue Ding
    I am a person who support adoption rather than buying pet, so I am interested in this article. The good news from this article is the euthanasia rate at record low. The shelter Dallas Animal Services says it found homes for 52 percent of the nearly 30,000 animals it took in during the 2014-15 fiscal year. It is also the first time the amount of animals saved exceed the amount of euthanasia. Jones said she’s especially encouraged the trend continue during the first two months of 2016, when she said the shelter saved more than 70 percent of its animals.

  • Profile photo of David J D'Angelo

    This article discussed the possibilities of the Golden State Warriors to beat the NBA’s regular season record of 72-10. As the season winds down, the Warriors’ chances keep getting better. Based off of the CARM-Elo predictions, the Warriors have a 66 percent chance of beating the record. I thought this way interesting because of the unique CARM-Elo prediction that uses team personnel and the teams past performance to measure its strength.


    The article discusses the delegate count dispersed in the Republican Party. It takes the remaining delegates and predicts a strategy on how Cruz and Kasich will beat Trump (stop him from reaching 1237 delegates). Using data, the article shows states where Trump’s opponents should spend heavy in or not spend at all. To defeat Trump, Cruz and Kasich will probably work together, but then run the risk of being labeled as “establishment”. Its also interesting that the Republican Party wants a tested convention, which will split up Republican voters and hand the nomination to a Democrat.

  • Profile photo of Kennedy Frances Price
    This article discusses the use of data to help in the fight against cancer. Tamr wants to help speed up the fight against cancer using data integration and their own big data platform. With the enormous amount of cancer data in the US, they believe using this program will allow researchers to more quickly and easily analyze it. It would be interesting to see the implementing of a program like this. Those with the experience and knowledge of data analysis could use the mass amount of cancer data and put it into visualizations and come to conclusions about what is seen throughout.


    This article is interesting because it discusses about how salespeople are able to connect with new clients so that it would help their own business. It is data relevant because making it comfortable for clients to do business with you depends on the impression of the salesperson and how a salesperson approaches a client affects the data on how connecting with a client should be done. Connecting with someone also relates to me especially in my social life because making friends or building relationships with group partners in a project takes practice in my opinion. I can follow advice from this article by smiling, making eye contact, ask a question, compliment, follow up, etc. to other people in my social interactions to connect with them.

  • Profile photo of Grace G Hirsch

    Although I am not very intrigued by the topic of politics, I am interested 2016’s presidential candidate Donald Trump’s campaign. Though I assumed a slightly different argument when reading the title “Donald Trump is No Ronald Reagan”, this article still holds some thought provoking points. Based off of the polls, Trump has not lead in any of the in comparison to Clinton, yet more people dislike Hilary Clinton than they dislike Donald Trump. With this in mind, “general election polls at this point are not a reliable indicator of the outcome.” (Enten) I think this is very significant, because although numbers don’t lie, they cannot always predict the future, even when the odds for something look pretty good or pretty bad.

  • Profile photo of Jake Montana
    I have never really thought about “why I am right handed” until reading this article. For generations handedness was thought to be genetics but scientists recently proved this to be false however, they do not have a true test to determine what makes humans right or left handed. They are using different tests but none prove to work all the time. Scientists even looked at what thumbs human fetuses suck in the womb to see if any correlation could be made. Overall, this article was very interesting because I always thought handedness was genetic but this article proves that wrong.

  • This article talks about the FBI suing Apple. The stock of apple has been effected by these lawsuits. The FBI cracked a dead terrorists iPhone 5C and apple claimed they went against apple’s data protection agreements. The justice department decided to drop these lawsuits, hopefully resolving the stock fluctuations. The only issue still remaining is the fact that the FBI got into an iPhone. Apple believes that they may be able to get into all models now.

  • Profile photo of Joshua J Affainie
    The article talks about how Villanova’s basketball team and how they can succeed in the final four of the NCAA basketball tournament. it uses the 3-point shooting percentage as a measure of the team’s success and how they will have a much higher chance winning the championship.

  • Profile photo of Mark Anthony Negro

    The NCAA Tournament, coined “March Madness,” is one of the wildest, most exciting, and definitely the most unpredictable event of each year. The unpredictability that comes with it attracts not only millions of viewers, but also many data scientists to explore the stats behind it. This year in the Final Four are favorites in most brackets: North Carolina, Oklahoma, Villanova but somehow ten seed Syracuse found themselves a ticket to Houston. Their bad play through the year, gave them about a one percent chance of this actually occurring in the beginning of the tournament. In the last 11 years, they are the fourth most unlikely participant. Some did not even think they should have made the tournament, their accomplishment is incredible. This is a very interesting article but Syracuse doesn’t interest me as I had them losing in the first round for my bracket.

    My article is about the data release for Kanye West’s “The Life of Pablo”. Tidal, a music streaming service, is almost a year old, so, to celebrate, they released the numbers for their first year. Included in these numbers was the data pertaining to how Kanye’s new album has done since its release. Tidal owns the streaming rights to the new album, so this data release was a huge indicator to how not only Kanye’s album was doing, but also how Tidal is performing against streaming giants like Apple-Music, and Spotify. This article has a lot of good data, and it also is an interesting read if you are into music, or even data.

  • Profile photo of Brandon K Shaffer
    This article is about the odds that the Golden State Warriors have to complete the regular season with a record of 73-9 or better. This goal is significant because Michael Jordan led the Chicago Bulls to set the regular season record of 73-9 in the 95-96 season. According to FiveThirtyEight’s prediction system it gives the Warriors a 66% chance of achieving this goal, but the system can’t entirely be trusted. For example, this prediction doesn’t account for the Warrior’s coach benching key players like Steph Curry in preparation for the playoffs. I find this article interesting because it amazes how much numbers can tell you about things, but anomalies still exist so the numbers can’t always be trusted.

  • Profile photo of Elena K Cipparone

    This article discusses both how Apple was hacked by the FBI (though not exactly how the FBI hacked the iPhone) and how Apple cannot figure out how they were hacked in order to fix the “flaw.” Our phones collect so much data about us along with others around us. While we hope that this data is secure, it is clear that this is not the case 100% of the time.

  • Profile photo of Alexander Somers Greene
    My article has data involving the upcoming NFL Draft. Here the data concerning the official pick order, including compensation picks, for each team is listed. When this data is put together with data involving the teams current rosters and data involving this year upcoming 2016 draft class, you can hypothesize what teams will consider which players at different parts of the draft. For example, knowing that Tennessee has an the first overall pick in the first round the the second pick in the second round, and the fact that this draft class is considered deep in Offensive Line and Cornerback, both of which are two of Tennessee’s biggest needs. You can predict that they will use their first overall pick to draft either Tackle Laremy Tunsil first then Cornerback Eli Apple second or they could draft Cornerback Jalen Ramsey first and Tackle Germain Ifedi second.

  • Profile photo of Sakeena A McLain-Cook
    I found this article very interesting because it made me start putting things into perspective regarding myself. This article was providing data about how many degrees were being received in New Jersey and it helped me understand the reality behind the increase of people getting degrees. It means that it will only be more competition in terms of actually getting employment post graduation. I know this article only mentioned the information for New Jersey but you can assume the same thing is happening in other states.


    I chose the article about Donald Trump. I found this article interesting because it compares two presidential elections that seem very different. I did not realize that the percentage of people who do not like Donald Trump was so high, at sixty-three percent. This relates to me because I am a Republican, so people automatically assume that I am voting for Trump.

    As we talked about Hadoop and Map Reduce this week, while tracking articles about data, I found out that Microsoft has just made big data analytics easier and better. Microsoft announced Azure, a cloud based big data computing system. Offering big data analytics in cloud makes using big data for business decisions easier and simpler than ever before. This new update also provides 10x speedup for streaming state management, automatic memory management, and new machine learning algorithms and capabilities. Microsoft also offers various products and tools for big data storage, analytics, computing big data, Hybrid big data integration, and now, Cloud based system for big data. It introduced tools like Azure HDInsight and R-server that will upgrade the traditional hadoop and spark big data working systems.

    My article talks about that challenges that data users and corporations will face with data integration as big data continues to grow more and more important. One of the biggest challenges is that to ensure that data is integrated, more hand coding will be necessary. Companies will have to turn away from programs that fine tuned data in large batches and instead move towards programs like MapReduce which require more manual work.

  • Profile photo of Jordan Timothy Motter

    The author of this article used a poll to figure out which candidate is leading in three different states. The data visualization that they use in this is very simple to read and comprehend, while also getting the point across rather simply. I think that data visualization for politics is especially helpful for people that do not know much about politics, so I appreciate this article very much.

  • Profile photo of Kiranya Chappell Chumtong

    This data emphasizes dirty data and how its affected current data. Dirty data has hindered the input of new data in modern day. “They spend ‘ridiculous amounts of time hunting for missing data, correcting inaccurate data, creating workarounds, pasting data together and reconciling conflicting data. This results in tremendous unaccounted loss in productivity,” Dirty data puts back the progress companies make and also the time they spend fixing it negatively affects the time they spend improving their company because until the data is cleaned and fixed no company will really be able to understand their revenue, profit, etc.

  • This article talks about the increasing usage of mobile devices makes mobile-generated data become significant important in current business world. In the next decade, mobile will be the most important role in this data explosion and data-driven analytics well into the future.Also, Big data will diversify and boost information economy. Because of rapid growth of big data, A more convenient and trustful big data analytics seems can provide people more personalized and insightful data. This article really reminds me that the connection between mobile and data is crucial to my personal life and whole world.


    This article talks about the increasing usage of mobile devices makes mobile-generated data become significant important in current business world. In the next decade, mobile will be the most important role in this data explosion and data-driven analytics well into the future.Also, Big data will diversify and boost information economy. Because of rapid growth of big data, A more convenient and trustful big data analytics seems can provide people more personalized and insightful data. This article really reminds me that the connection between mobile and data is crucial to my personal life and whole world.

  • Profile photo of Michael Lawrence Carey

    Being a Phillies fan, i found an article on about the predictions for the 2016 Season

    This article features the 2015 data of the Phillies record, what the record balances out to, and their projected 2016 record. This projected record is based off of 2015 performance for the team as a whole, and each player individually to identify where they could potentially land in terms of the finish of the 2016. Because of their recent struggles, obviously we are not projected to reach the playoffs, but as a Phillies fan, we are rebuilding our team for the future.


    This article discusses the approval end users are giving wearable devices that collect data’s hardware but the disapproval of the software the comes with the device. Just as we discovered in class many of the software applications can sometimes provide false information and throw off the end users health results.

  • Profile photo of Kenneth Kirk Killian
    I read an article about how marketers need to use data to create models for trends. Before, we used past data and now we need to incorporate forecasters, trend spotters and customer data as well. Another thing we need to do is use real time customer databases like Twitter to see what is trending right now or what will become trending before it is just the fad du jour. If we had the technology we have now, we may have been able to predict the exponential growth of whole foods and gluten free options.

    This article is particularly relevant to me as well as our class being that in one of our past modules we talked about the filter bubble and how it limits your search results only to things closer to what your search was about. I recently had an issue with this when I search online for a new water bottle to purchase and my search results became so slim that I had to exit the browser and start all over.

  • Profile photo of Thomas Alexander Stenberg
    I saw this article on five thirty eight when the ncaa brackets started to fill themselves out. It’s interesting to see how they use different metrics like strength of schedule and BPI to determine probabilities for each team winning all the way through the final 4. Most of the time I use my own intuition and limited knowledge when I pick out teams to win, so seeing it from a data backed perspective is interesting when comparing to my own picks.

  • Profile photo of Thomas Alexander Stenberg
    I saw this article on five thirty eight when the ncaa brackets started to fill themselves out. It’s interesting to see how they use different metrics like strength of schedule and BPI to determine probabilities for each team winning all the way through the final 4. Most of the time I use my own intuition and limited knowledge when I pick out teams to win, so seeing it from a data backed perspective is interesting when comparing to my own picks…

  • Profile photo of Sergio Campos
    This week I read an interesting article on one of the biggest stars in the NBA, Steph Curry. Since his knee sprain in Game Four of the opening round of playoffs, multiple data sets have been created to find out what teams benefit the most from Steph’s absence. Of course nobody wants to see an athlete get injured, but by analyzing the data it is evident that the San Antonio Spurs benefit the most from the Steph’s injury. The article on proves this point, and also list the other teams that benefit from the Warriors lost of Steph Curry.

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Shana Pote (instructor)
By appointment only - 9:10am-9:45am, M/W/F, Speakman Hall 207H. Email to set up appointment.
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