Section 003, Instructor: Laurel Miller

Weekly Question #5: Complete by October 13, 2016

Leave your response as a comment on this post by the beginning of class on October 13, 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:

Just like you did about a month ago, 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.

60 Responses to Weekly Question #5: Complete by October 13, 2016

  • The article that I found interesting is from FiveThirtyEight and is titled, “Some like it bot,” by Laura Hudson. This article explains how the use of artificial intelligence is spreading, and is even beginning to be used by the entertainment industry. The article discusses the application of predictive text programs, and how different degrees of automation provide different results. The article concludes that at this point in time it is more of a human and AI collaboration than something produced solely by an algorithm. This article caught my attention because I had never thought about the different potential applications of AI in the entertainment industry.

  • This article discusses that Presidents need for data. One thing that I did not know is that there is a U.S Chief Data Scientist Role that is based out of the While House. This individual is telling people to get used to data and computers because there are going to be jobs in the future for people who know how to use data. The article also touches on what President Obama uses data the most for, which I found interesting because you don’t think that the President uses Data over than for speeches.

  • This article discusses how presidential polling works. I found it interesting because I always see the latest polls in the headlines on the news, but I never knew how the data was collected or where it came from. I never understood how a survey of such a small portion of the entire country could predict the ultimate outcome. The article explains that pollsters get a perfectly random sample and then adjust it so the demographics of the sample closely represent the total voting population.


    I feel like this article is important because it creates a formal list of Data Visualization tools beyond the likes of Tableau. As someone who is now getting used to Tableau right as Assignment #2 is due, looking back on what I didn’t know about gave a new view to the world of info graphics and data visualization. Tools like Google Charts, Leaflet, and Charted are all compatible with sources such as GitHub, written for most computer platforms in either Java or HTML, and follow the same idea of being able to create simple, yet powerful, visualizations. This list expands the possibilities of online data platforms, which was interesting to find right after using PiktoChart in the last In-Class exercise.

  • The article I found was dealing with big data. I found this to be interesting because it was talking about how companies invested in big data by 3% more than last year, but the percentage who plan to invest in the next two years went down from 31% to 25%. The article mentioned that one of the reasons could be because of poor management and unstable systems that were not fully baked. In addition, some respondents said that big data is less important that other IT initiatives Therefore, companies are investing in other priorities. However, the most important I gained was that big data will still be important, but the approach will evolve over the years.

  • My selected article is titled “NSA Contractor Accused of Taking Top-Secret Documents”. The article is sort of a news report and I found it interesting because it drew my attention to the level of security which my personal data as well as other American citizens’ data have. As many of us know, information we put on the web or even our mobile devices are not ephemeral. Thus, a good amount of our personal information goes to government agencies for various purposes with the claim that they are secure and only for official use. Reading this article made me feel like my data was not really safe if there are government workers who can’t be trusted with individuals’ information.

  • The article discusses the incoming aspects of data as it plays an essential role in our lives today. “The evolution of data analytics is approaching an inflection point.” Essentially, the article emphasizes that we are living in a time when data is at an inflection point in terms of how we utilize and view them. It is interesting how data, whether we realize it or not, is everywhere and the way we see it is quickly evolving. What we see on websites, social media, TV, and movies consist data. We study data, utilize data, and we certainly do need data. As the author stated, “Whether you call it a Data Revolution or a Data Renaissance, the end conclusions are clear – more people will be using a data-driven approach in their daily lives, and data accessibility is no longer a nice-to-have but an essential need.” We are seeing a new meaning to data analytics.

  • My article talks about how Derek Carr, the quarterback of the Oakland Raiders, is the NFL’s new modern gunslinger. The article used data to show that Carr is not a great 4th quarter quarterback despite his multiple memorable comebacks. Despite his comebacks, “he’s thrown five interceptions that have dropped his team’s win probability by at least 25 percentage points — i.e., particularly harmful plays at crucial moments in a game”. The article also assessed how Carr average gain from passing play is only 9.3 yards per completion. This means that Carr “isn’t acting like a gunslinger in the classical sense: He’s still throwing a lot of short passes”, which makes him the modern version of the NFL’s gunslinger.

  • The article I chose was about the riskiest place in the world to live, The data presented in this article takes into consideration the frequency of natural disasters as well as how equipped each country is to deal with them. I thought this was interesting because of the recent hurricane that has threatened the lives of so many people. If you’re wondering, apparently the safest place from natural disasters in the world is Qatar which is mostly just because it is in a geographic location that does not experience a lot of natural disasters in the first place. The riskiest place to live is Vanuatu which is a small pacific island that experienced three natural disasters in the span of a few weeks in 2015. Though I don’t plan on moving to Qatar in the near future, this data was interesting to have displayed in front of me.

  • My article talks about how the San Diego chargers are unprecedented late-game failures. The data used shows that San Diego are among the worst in the NFL in terms of WPA (win probablity added). WPA measures the swing in each team’s chances of winning with each play. Last season, San Diego had a WPA of -2.6, which was the second worst in the league only behind the New York Giants. San Diego seems to be continuing this trend as their current WPA for the 2016-2017 season is -2.1. I found this article interesting because I watch football every Sunday and always seemed to notice that San Diego was prone to losing the game in the 4th quarter despite being up throughout the game.

  • The article “Using big data to track hurricane evacuations” is very interesting due to the fact that they are using data to understand more about the evacuations and to gain metadata from the raw data. The purpose of their task was to determine what areas under evacuation orders were actually evacuated and they discovered that they were not. It’s quite interesting because they’re using the raw data to understand and see patterns about evacuating citizens. They take the smallest amount of data and turn it into metadata that is useful in understanding the information. For example, they used mobile apps from user’s phones to get the location data which was used to study where and when people were moving during this hurricane. This is all too interesting because it relates back to class and how data is everywhere as well as the usefulness of the data to retrieve information about users during evacuations. This article is quite interesting too because it’s something that is happening now and it’s amazing how much information/data is being gathered already.

  • This article on the Philadelphia Eagles is from a little over a week ago. It talks about their outstanding 3-0 record at the time and gives a variety of statistical data with predictions for a good, as well as a bad, future for their season. Being an Eagles fan I easily found this article to be interesting. In addition, I find it interesting reading the data on why one could predict the Eagles would not continue to do so well considering they ended up losing their game yesterday. The article includes a text table as well as different charts including trend lines, etc.

  • This article on the Philadelphia Eagles is from a little over a week ago. It talks about their outstanding 3-0 record at the time and gives a variety of statistical data with predictions for a good, as well as a bad, future for their season. Being an Eagles fan I easily found this article to be interesting. In addition, I find it interesting reading the data on why one could predict the Eagles would not continue to do so well considering they ended up losing their game yesterday. The article includes a text table as well as different charts including trend lines, etc.

  • This article from FiveThirtyEight forecasts the result of the U.S. presidential election using data from national polls. It’s especially interesting because you can see the percentage chance that each candidate will win in each state, the percentage chance that each candidate will win each state’s electoral votes, and how much each state matters in the election. I like this article because it shows that Trump most likely won’t win the election, which makes me feel a lot better about living in this country right now.

  • In this article, FiveThiryEight sheds light on the growing confidence of American’s feeling well-informed on their world-views. According to the article, this escalating confidence may result in future unawareness of any opposing world-views. The problem lies in information ecosystems which made me think of the filter bubble. Any world-views supported and shared with the people you surround yourself with in real life and online, limit your knowledge on the ecosystem of information as a whole. It’s hard to catch yourself in a tunnel vision of your beliefs or it’s uncomfortable to hear an opposing side of what you believe in but without it how will we ever evolve our conversations and topics we discuss?

  • This article, Digital Doughnut talks about the use of Big Data and the travel industry. Big data can improve the customers experience, the marketers, and overall ease many of the complications in between. Traveling can be very complicated when and if things do not go right, the article talks about improving the customers experience from purchasing the least expensive ticket by pulling from different data bases in real time, getting on the flight-on time and even after the flight asking customers via email, how their experience was and collecting the data the airline or analyst need to improve the process even more. I like this article because traveling and getting to the destination is great but the process before that can be chaotic and can always be improved.

  • the article Election Update: Polls Show Potential Fallout From Trump Tape by Nate Silver is looking into the effects of the tape on Trump’s campaign. As the U.S. presidential election in getting nearer it is important to keep track on what the race looks like. The recent release of a tap where trump is recorded condoning unwanted sexual contact against women, can affect the race. the article looks at 9 different polls and how they see perceive the effect of the tap. It is interesting to see that some polls found a the tape to be a major crises where other polls seems to think it did not effect the campaign that much.

  • The article from forbes that I discovered discussed five interesting things that we can determine using data. These include high school dropouts, weather, instances of police brutality, cyber attacks, and health and disease. One that I found particularly interesting was how when an officer responds to a high amount of traumatic crimes such as murders, suicides, or domestic abuses, they are more likely to perform misconduct. If this occurs, they will provide time off or therapy sessions to avoid an instance of misconduct.

  • The article I chose was about Amazon wanting to expand grocery business with new convenience stores. What Amazon did was it saw an opening in the market to compete with major grocery companies and make it available to deliver the groceries you picked out on the website to people who are too busy to go grocery shopping. More and more people are starting to do grocery shopping online for the convenience of not having to leave your house and wait in long lines for food. Amazon did a survey and saw an increase in people who did online grocery shopping of 8% last year to 26% of people who said they would do it this year. There is a market for this, and me being an Amazon Prime user, i’m excited to see where it goes.

  • This article talks about how Twitter is struggling but it is on the market and who would buy it. They discuss that Twitter is down in growth and revenue and the big buyers are not looking to purchase it as of now. However, they talk about how Twitter is still worth a lot because it contains a ton of data. The owners of twitter will be able to collect data on what people are talking about and interested in at the time. This shows how valuable data is.

  • The article that I’m going to talk about is titled “Duck Boats Have a History of Fatalities”, by Linda Loyd, and it is regarding the recent closure of the Philadelphia branch of Ride the Ducks. (

    It mentions the string of fatal accidents that the firm has dealt with in the recent past, and how those accidents have influenced their insurance rates which ultimately led to the closure of their Philadelphia branch.

    As a Risk Management and Insurance Major (the professor that I TA for, Dr. Drennan, was actually quoted in this article), this is really interesting. The article mentions how 3 data points (the fatal incidents involving Ride the Ducks vehicles) have had a major impact on their insurance prices. The number is actually insane; the companies insurance rates went up 330%. I am fascinated by how companies price their insurance products, and data plays a huge role in that process. I would love to know what else (data-wise specifically, such as the history and location in the city of Philadelphia, which is home to some of the most expensive insurance rates in the country) played a role in the enormous hike in the insurance premiums that were offered to the Ride the Ducks vehicles which caused their avoidance of doing business here.

  • The article I found is about Obamacare and the second presidential debate. The article shows what each candidate said about health care. Clinton said that we cannot start all over and get rid of Obamacare because then we are just handing it back over to the insurance companies. Trump says that we must start all over because their method of fixing health care is to keep going back to Congress and asking them for more and more money. The health care laws, as governed by the government, will impact me in the future if I am working for a health insurance company. The article goes on to say that 29 million people are still without health insurance and costs have not yet come down, like promised by Obamacare.

  • The article that I found differentiates Big Data and Small Data and explains how both are relevant in today’s society. Big Data is described as a large quantity of both structured and unstructured data. The importance of Big Data, however, is not based upon the size of the data, but rather what companies can use it for to make smart business decisions. In addition, it is used as a driver for companies to see how they can increase their earnings. Conversely, Small Data has very specific characteristics. Sometimes it is easier to interpret because of the smaller size and narrowed focus. If businesses do not wish to use expensive systems often used to analyze Big Data, Small Data may be a better option.

    I found this article interesting because I am an accounting major (business), so learning how Big Data can be used to make smarter business decisions is relevant to what I am studying in college.

  • The article I read gives you insight on how big data analytics is used within the travel industry. I find this particularly interesting because I love traveling and finding out how big data makes the travel industry more efficient for its customers is very beneficial. The data gathered includes the process of booking travel tickets, exploring other hotel options, booking hotels, and comparing overall prices. Companies face some obstacles when analyzing data due to the wide array of data that is included in the process. Companies, through data analytics, aim to gain an edge over the competition, personalize their services to customers, properly staff during peak season, and gather how to manage their profits. Anyone who travels should find it useful to know that companies actively look at customer feedback in order to offer a more satisfying experience the next time around.

    My article is from information week and discusses Netflix’s release of data to their multiple data storage servers. It was very interesting because they discuss their meta data unit called Metacat and until this class I had not previously heard of or seen metadata referenced. In addition, they have a big data portal. This article touched on so many topics we’ve discussed in class and it was very interesting to see a real world application.

    The article that I found at Wordstream discusses the use of advertising on Facebook and how it surprisingly works really well. It talks about many sources of data it uses to target its audiences and goes through multiple bar and line charts which includes topics such as “Impact of Age on Facebook Bid Costs,” “Average Organic Reach of Content Published on Brand Facebook Pages,” and “Facebook’s % of mobile-only users.”


    This article is about how Uber and Lyft are are hurting the taxi business. Uber and Lyft have found ways to make rides cheaper than taxis and more convenient. . The websites shows that compared to a year ago more people are using users to get around and it is really hurting taxi companies. The numbers show how Uber and Lyft are going to continue to grow while taxi companies are going to continue to drop.


    Over the past few months, Yahoo has been involved in several data security scandals. First, hackers stole personally identifying data from over 500 million Yahoo accounts in 2014. Although Yahoo’s CEO has known about it for months, she did not report it to the public immediately. Next, Yahoo collaborated with government agencies to write a software that scans user emails for certain keywords that indicate a need for surveillance. This article is interesting because public trust of government surveillance and public fear of data breaches is growing.


    This article was interesting to me because it showed how the demand for IT security jobs is not meeting the supply. The article examples, to meet the high demand for these jobs colleges and universities are offerings information security degrees. It will be interesting to see if these new programs that colleges and universities across the country will be able to produce the amount of supply to meet the demand.

  • In September Netflix held an event demonstrating their huge collection of data and what they plan to do with it. According to Netflix, they have obtained nearly 60 petabytes of data stored in the Amazon web service cloud. Kurt Brown, Data Platform Director, stated “We want more data for more rich analysis so we can improve the experience for our users.” Netflix is a company that started nearly 20 years ago as a mail-order movie rental service. Today, Netflix is idealized by nearly every major tech company for its ability to collect and analyze its data.

    This article was interesting to me because it shows that how much money they have lost before fail of samsung galaxy note 7. It also interests me because I really wanted to work for a electronic company. I understand how important is to keep our product save for customers.


    The article I read, posted two weeks ago, talks about how companies disregard data scientists as bad for widespread success. I found this interesting because an action like this can be considered a data mistake that precedes the work of Microsoft Excel or even Tableau. If the data analyst is not just about innovation and data expertise, he’s going to want to feel engaged and apart of the company. But more importantly, if the company starts making too many complies for the data’s result, then it skews the truth of what the data actually represents. It’s similar to how Fox News’ showed pie chart that was over 100% because, in extreme cases, a company might want the data altered to the point of misinformation. That is why I think bad data can occur before Excel mistakes, which we were discussing last class.

    The article I read discusses how Northtrop Grumman’s creation of a fraud-detection system will eventually be able to transform into a predictive analytics tool for the healthcare industry. I found this interesting because the article explains how our individual privacy would no longer exist in order for the predictive tool to work and evaluate and predict our state of health. While the tool sounds quite useful and overall helpful, I think that there is going to be a lot of resistance to expanding the scope of what access healthcare companies have to what data. I also found it interesting that it was Northrop Grumman who partnered with the Centers for Medicare and Medicaid Services.

  • This article really caught my eye simply because of its title: “I Let a Company Scan My Naked Body to Get the Perfect Suit”. The writer talks about how he was a part of a upcoming wedding where all the groomsmen had to wear an Alton Lane suit. He went to the company and stood naked while cameras scanned his body and got 70 different measurements. It is so interesting to see how this company uses cameras to scan and get the data of body measurements to create a perfect suit. The write even says that the suit was truly a perfect fit and that he would wear it to his wedding. It goes to show that people will go above and beyond just to collect data to deliver the best products.


    In this article you will find some informations about cleaning data for marketing purposes. Steven Wastie, CMO at Origami Logic is providing four steps to manage your data. First one is making a plan to make sure the process is working fine. the second one is choosing a team. The third one is to avoid data discrepancies and finally challenge data lag with a small trick.

    This article talked about data governance. Data governance is very important with those companies which need to deal with big data. This article gave us the steps of building a data governance plan. Data governance is similar to data cleaning. “Governance means making sure enterprise data is authorized, organized, and permissioned in a database with as few errors as possible, while maintaining both privacy and security.” It is very close to what we are learning now.

  • This article talks about how big data impacts education. In classrooms today, everything is approached digitally. Even the way that we are submitting this assignment is online, not via paper. Big data allows the personalization of every student’s learning patterns. For example, the learning platform that we use for other classes, Blackboard has elements of big data. It is quick, efficient, and one of the best ways for students to improve academically. Professors can quickly provide feedback, and students can focus on what to improve for the future. All learning materials can be accessed through Blackboard, so the need lugging a textbook around becomes obsolete. Big data in education is important because it definitely ties into making life convenient and simpler. It definitely eases busy lifestyles, since assignments can be submitted via the push of a button through various devices.

  • This article talks about how big data impacts education. In classrooms today, everything is approached digitally. Even the way that we are submitting this assignment is online, not via paper. Big data allows the personalization of every student’s learning patterns. For example, the learning platform that we use for other classes, Blackboard has elements of big data. It is quick, efficient, and one of the best ways for students to improve academically. Professors can quickly provide feedback, and students can focus on what to improve for the future. All learning materials can be accessed through Blackboard, so the need lugging a textbook around becomes obsolete. Big data in education is important because it definitely ties into making life convenient and simpler. It definitely eases busy lifestyles, since assignments can be submitted via the push of a button through various devices.

  • The article that I found is “Connecting classified and unclassified big data” from GCN. The article basically talk about how classified and unclassified data help to investigating the terrorism suspect. I found this interesting and important because of reason that terrorism always bring significant impact all around the world, and it is good to investigate and analyze them through big data (classified and unclassified according to the article). Data used to terrorism investigate might help many industries such as tourism industry. Therefore, as we learned during the class, data is everywhere to help us in our daily life or non-daily related situations.


    The article I found was about polling data from the recent Presidential debate. I found it interesting because it compared multiple polls of different data to analyze the debate. The article claims that Clinton won the second debate based off the data. The surveys were taken using Survey Monkey.

  • The article that I found interesting is called “All the Harry Potter spells, when they were used” from Flowing Data. Being a fan of the Harry Potter books, I always enjoyed being able to read them whenever I had time . I never really took into consideration how many times each spell was said, but this data visualization keeps record of that. I also notice that there is a great difference between the amount of spells used in Book 1: Sorcerer’s Stone, and Book 7: Deathly Hallows, which gives a quick glimpse of how experienced and more challenging the characters had become throughout the whole book series.

  • The article I chose was regarding the government’s request of Google to provide data on specific users. I found this article interesting because it appears that Google complies with these requests much more than Apple would. Google has a lot of data on its users and data regarding emails or locations could be very valuable to the government. It makes me a little uncomfortable that someone with so much data on its users would be willing to divulge it.

  • The article I choose was from the FiveThirtyEight website, called “I Let A Company Scan My Naked Body To Get The Perfect Suit”. It was interesting because they use a technology to scan your entire body to find the perfect suit. The scanner finds 70 measurements and uses that data to create a suit precisely tailored for the one person.
    This takes out human error in measuring and more detailed to provide the optimal suit and if I can afford it, i’d definitely go there.


    This article is from yesterday and has caused quite a controversy. Fivethirtyeight posted two US Map Data visualizations. One showing if only men voted, the other showing if only women voted. as you can see it is completely a different map from one to the other. Causing many trump fans to currently attempt to petition a women’s right to vote. Saying women are only voting for Hilary cause she is a woman. It shows not only data, but everyday people’s confusion of causation vs. correlation.

    I chose this article because I am a finance major and quarterly earning reports are a great indicator of a company’s performance. This article provides a bevy of data on companies who have already reported quarterly earnings and breaks it down by sector. This article is also interesting because it provides reasons why companies reported disappointing earnings. The data provided in this article can be very useful because an individual could use it to select a stock which hasn’t reported yet but will likely perform well and allow them to invest in that stock.


    This article is named Who Will Win the Presidency? I found it interesting, because it shows who is predicted to become the next President of the United States from electoral votes and by popular vote. Clearly it’s not going to be representative of what happens next month, because it is just a prediction.

  • The article I read used data to determine the probability of a Trump comeback. As of right now, Clinton is leading in the polls by about 6 points. The website uses data from past elections to determine the probability of a Trump comeback to the point he would win the election. It concludes that while a comeback is possible, it would be unprecedented. The information is relevant to me and many others because the election of the new president is something that can effect everyone, and the differences between the candidates is so stark that an outcome one way or another will have significant ramifications.

  • The article I chose is titled “Election Update: Women are Defeating Donald Trump.” The article basically talks about how more women are voting for Clinton and more men are voting for Trump. The article goes on to explain the most recent polls for the candidates. Clinton is beating Trump in all the polls except for one, the USC Dornsife/Los Angeles Times tracking poll. The article then shows the data for how women and men are split when it comes to the two candidates. We are then lead to two different maps. The first one shows what it would look like if just women voted right now, and the second if just men voted. It shows that it is heavily sided for one candidtate when you divide it up like that.


    This article I found is from genomeweb. In this article, it talks about IBM’s Watson artificial intelligence software and how it detects what cancers benefit from certain treatments. IBM is starting to now give US-based employees and their families access to this. With all the new studies that we get everyday from cancer research, it can be hard for doctors to learn it quickly and apply it to their patients. The Watson software will accurately be able to decide what clinical trials and treatments will work best based on inputted information about the patient. I found this article to be very interesting because cancer has personally effected me and my family and its nice to know that we, as a society, are truly advancing in nipping cancer in the bud.


    This article is basically predictions for the 2016 season in the NFL and it predicts who will win each week, or the chances of each team winning at least. It also has the percent chance of each team reaching the playoffs and winning the Super Bowl. It also predicts the number of wins and losses each team will have at the end of the season based on their record thus far. This is interesting to me because I’m really into football and I like to see where each team is predicted to be headed based on wins and losses.

  • I found this article interesting because it talks about a potential improvement in many areas of medicine. The American Heart Association is moving towards data sharing through cloud systems to provide access to medical data for researches. Having a large number of researchers accessing a large amount of data will help advance treatment options, and if other medical areas follow the same path, more people will benefit from data sharing.

  • The article I found on WSJ was very interesting to me because it discussed the importance of data and global business. Google and Facebook have joined with a small private Chinese tech company to lay a high speed fiber optic internet cable between Hong Kong and Los Angeles. This will be vital in the communication of information regarding the global markets, economies, and stock trading. This could benefit both countries’ economies greatly.


    This article discuss various change surrounding the relief efforts in Haiti and what is being done to go into the next phase of it efforts to help people there. With hurricane Matthew recent pass through Haiti which killed tons of people and destroyed many homes. US had sent over supplies to help out with them individuals and families In need.

  • The article I found was from the website Dataversity titled, “Ozlo the AI Assistant That Works for you”. This article is about a new artificial intelligent assistant name Ozlo. Ozlo is the first publicly available AI assistant that can link multiple sources of information to answer questions. He can answer questions like, “what’s a good place for a date nearby”. Ozlo does this by extracting and combining knowledge from different sources and then choosing a direct answer. I find this interesting because how would he know that you would like the place he choses? For example, what if he chose a nice Mexican restaurant but you don’t like Mexican food? I also find this interesting because doesn’t Ozlo do exactly what Siri already does for IOS? Siri being better in my eyes because it gives you ratings of places from best to worst or most expensive to least expensive.


    This article was about state and federal prisons paying for the new hep c medication that cures 90% of those with the virus. I found interesting that the data reflected different samples in each state since the reporting is not conducted by a third party. This made analyzing the data very hard which only compounds the issue of treating inmates, a constitutional obligation.

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    This article discusses 8 ways Big Data and Analytics will change sports. Some of the ways that stood out to me the most were, Data from wearable technologies, and Building arguments for contract negotiations. The technology that Adidas recently came out with is called miCoach. This measures different types of data of an athlete like its top speed, heart rate, and acceleration. It is attached to the athletes jersey and this data can show the coach who is their hardest worker and such things. For arguments on contract negotiations, Adam Silver the NBA commissioner, said analytics played a role in ending the 2012 NBA lockout. When discussing a contract, both sides are using data and everyone is trying to find evidence that supports whatever contract demand they want to make. I chose this article because it was very interesting to see how big of a part data and analytics are in sports.

    This article is about the best free agent pickups to grab in fantasy football. They put together a bunch of data on which players have been preforming the best and the probability that the success would continue.

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Laurel Miller (instructor) 11:00am-12:00pm, Tuesdays and Thursdays, Speakman Hall 210 or by appointment.
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