Section 005, Instructor: Joe Spagnoletti

Weekly Question #5: Complete by March 1, 2017

Leave your response as a comment on this post by the beginning of class on March 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!

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.

53 Responses to Weekly Question #5: Complete by March 1, 2017

  • https://www.r-bloggers.com/on-the-trade-history-and-dynamics-of-nba-teams/
    These series of data sets tell about trade and how it is has had an impact on teams that choose to trade players as well as the amount of trades teams do per year. This is interesting to me being an NBA fan because it identifies the actual opportunity costs and benefits of trading players.

  • https://opendata.socrata.com/Government/Airplane-Crashes/b3ww-cir8
    I found a set of data that includes every documented plane crash including the date, time, location, flight number, operator, time of plane, number of passengers, number of fatalities, and also a brief summary of each crash. The data begins on September 17, 1908 and includes records up to just last week. I found this particularly interesting because I have never seen such a thorough set of data on this topic. I fly all the time and every time there is a new flight scandal I always make sure to research it, however this set included recent flights I hadn’t even heard of. The site also allows conditional formatting so you can filter to see crashes in specific air conditions and more.

  • https://ctrlv.in/929149

    This shows percentage of women as compared to men in regards to certain professions compared between the US and the USSR. It’s interesting to see how actual historical analysis of material data reveals that the large majority of people in communist countries have benefited from communism. Despite dominant political narratives, what actually happened cannot be changed and the dominant political narratives cannot hold up under constant investigation.

    Sources: Jerry Hough, “Political Participation in the Soviet Union,” Soviet Studies 28: 1976, 3-20; TH Rigby, Communist Party Membership: The Current Digest of the Soviet Press, Sept. 29, 1976 Fischer, Social Stratification and the Social Mobility in the Ussr William Mandel, Soviet Women, and unpublished paper by Norton Dodge, Women in the Professions in the USSR (1979), and Alex Dallin and GF Atkinson, Women in Russia (1977), and Michael Paul Sacks, Women, Work and Family in the Soviet Union, Boston, 1988)

  • http://www.fangraphs.com/blogs/are-we-at-the-high-water-mark-for-shifting-in-baseball/
    The data sets show the change in shifts in baseball throughout the past few years and how the hitters adjusted to this change. Although there was a drastic increase in shifts recently, hitters responded by changing their approach to avoid hitting into the shift. Through the different player statistics, the author evaluated the change in approach over two years. I found this interesting because shifts are so popular in baseball, but it is only a matter of time until hitters figure out how to beat the shift and these types of data sets are probably what I will be collecting in the future.

  • https://fivethirtyeight.com/features/the-minimum-wage-movement-is-leaving-tipped-workers-behind/

    The article I chose is titled, “The Minimum Wage Movement is Leaving Tipped Workers Behind.” The data basically shows how minimum wage has increased for workers who do not receive tips and how it has stayed the same for tipped employees such as a waitress throughout every state. The most interesting fact about this article is that waitresses salary does not increase with every other employees in their state and they have to rely on an unstable income to support their families which I believe is unfair. Also, I am glad many states are trying to eliminate this situation and hopefully the new President helps push the movement further so it will be eliminated and each state and everyone will be paid fairly.

  • https://fivethirtyeight.com/features/why-that-maui-wowie-doesnt-hit-you-the-same-way-every-time/
    The article I chose was about the genetic variation in cannabis and its relation to our relationship with chimpanzees, in that the plant contains many cousins within it. It discusses how the great amount of variations in the plant is complicating the research to study it, and how the lack of research in turn sets off more obstacles in the way of the business. The article even includes a data visualization to show the genetic relation to different samples sent around the world. I found this article particularly interesting because I myself did not even know there was that many strains of the plant, let alone the amount of research going into. The included data visualization was a little confusing to understand however.

  • https://www.wsj.com/articles/the-town-that-cant-do-without-refugees-1488290400
    This article is very interesting because it talks about Erie, Pennsylvania and how it would not be able to function without Refugees. After Trump took office, he has taken many steps and actions to try to limit the amount of Refugees to the minimum, so that is why this article stood out to me in the first place. Then it really surprised me that it says that Refugees in Erie represent 18% of the city’s population and that they take up most of the low skilled jobs that Americans would not be willing to do.

  • http://www.baseball-reference.com/teams/PHI/
    This article is very interesting to me because it talks about the Phillies and I love the Phillies. The article talks about stats from every Phillies team 1883 to the present. It has stats on winning percentage, wins/losses, who the best player was from that season, who the manager was, etc. The article also talks about the top players in team history in terms of WAR. It shows a picture of the top 20 players in team history and it shows the was, starting with Mike Schmidt with a WAR of 106. Overall, this site has many stats on the Phillies for each season that they played in.

  • http://www.cbssports.com/nba/gametracker/live/NBA_20170226_BOS@DET/

    This article is very interesting to me. It provides the stats from the NBA game (Boston Celtics vs. Detroit Piston) on Sunday, February 26th. It’s interesting because it provides many different kinds of data from the game. It gives us the team stats, individual player stats for both teams, field goal percentage, three point percentage, free throw percentage and more. It even provides a play-by-play analysis.

  • https://www.theguardian.com/film/2017/feb/26/oscars-by-numbers-history-academy-awards-statistics

    I have always loved award season. The Golden Golden Globes, the Screen Actors Guild Awards, the Grammy’s, and the BAFTA’s have always awed me. However, there is nothing quite like the Academy Awards. I have always like how glamorous and professional they were (although, the handling off the Best Picture award was far from professional this year). I have always been into “stuff” by the numbers. This is why I came across Guardians’s article entitled “By numbers: breaking down the key facts behind the Oscars.” In this article, you will see some interesting data on the Academy awards. Some examples are comparing television audiences from year to year and also comparing the Best Picture winners to the most successful box office film of their year.

  • http://www.pewresearch.org/fact-tank/2017/02/15/u-s-students-internationally-math-science/
    This article is about U.S math, science and reading scores compared with other countries. I have heard several times in the last few years that we have been generally sliding down these rankings for some time now, but I never saw the data or proof. Looking at the data in the article interested me because from 1990-2003 the U.S’s math proficiency increased greatly, then it started to become stagnate. I have many questions however on how they actually get this data, like do the schools tested stay the same for each country over these years?

  • http://www.marketwatch.com/story/how-the-trump-rally-stacks-up-to-other-postelection-stock-market-gains-2017-01-18 ; http://www.cnbc.com/2017/02/21/us-markets.html
    Above are two articles about post-election stock market performance. While Donald Trump may be a crazy a**hole, but I like most of his proposals to revive American economic growth. Wall Street seems to like trumps economic policy as well, but the data belies a point that is at least a little surprising. Even though the market is currently experiencing a record highs, as pointed out in the second article, the first article shows that market gains for the period from election night to inauguration rank only fifth all time. The surprising part is that of the top eleven election-to-inauguration periods, only six were after a republican was elected. Bottom line, regardless of what the media might tells us, republicans were once the party of civil rights and the working man, democrats claim to be now, but they’re all the same…. Big politics is big business, and Wall Street likes both parties.

  • https://fivethirtyeight.com/features/cancer-rates-are-dropping-but-not-in-rural-appalachia/
    This article is about a research out of the University of Virginia, cancer incidence has declined in much of the country since 1969 — but not in rural Appalachia. There’re many factors that cause this problem, smoking, obesity, environment(mining), however, the biggest issue is lack of access to care. Looking through this data, we might figure out a way for improvement.

  • https://www.nytimes.com/2017/02/28/business/bad-customer-service.html?ref=business

    This is the artificial from The New York Times, states that the quality of customer care are reducing, and prove the idea with lot of data. The artificial declares that companies are doing all the right things the wrong way, and tell you how companies get to this situation and some tips to solve this problem.

  • https://www.thinkwithgoogle.com/infographics/consumer-electronics-shopping-micro-moments.html

    This infographic by Google tells a clear, interesting story about the customer journey to purchase new electronics. More people YoY have inquired about price while on mobile (+40%). Almost all of smartphone shoppers have actually changed their mind about a retailer or brand after searching more info on about them on Google.

    I can also attest to being one of the users who will go play with a tech toy at Best Buy then go home and order it online. The data also describes users who make a purchase on their smartphone while they test out the same product in store. From a digital marketing perspective, there’s tons of insights you can pull from this data to drive 2017 planning.

  • http://www.zdnet.com/article/digital-transformation-in-the-insurance-industry/
    This article, “Digital transformation in the insurance industry”, discusses how the Insurance Industry is centered around data. Whether the data be used for understanding risks and exposures, or submitting and reviewing claims. Data plays a huge role in understanding new exposures, such as cyber liability and defense, resulting from advancements in technology. Only from analyzing data and information will underwriters be able to price accurately and project possible losses.

  • https://www.timeshighereducation.com/features/the-teaching-survey-2017-results-and-analysis#survey-answer. Here is the link I found on the internet that I feel interested in reading it. By reading this article, I am able to know that 9 out 10 academics (88%) say that teaching is the source of satisfaction to them. And only 6 percent of those who claim that they are not happy about having to educate students. Out of the respondents, 29 % of them say that they find teaching more rewarding than research. In addition, this article also provides a clear pie chart that gives me an information of the respondents’ countries, their genders, their roles ( academics or professional staffs) as well as the subjects that they teach.

  • http://www.latimes.com/travel/deals/la-tr-spring-break-allianz-global-report-20170227-story.html
    This article “Which day will be the busiest for U.S. spring break travelers?” is interesting because it actually shows us the predictions based on the data from the past. We learned in class that the active power of data is the ability to predict things, rather than just to explain the past. I thought that this article showed the active power of data. Although the article is short, I could at least know which places to avoid, or how to make up my schedules.(I might have to spare some extra time just in case of the traffic jams, or other problems because of lots of people.)

  • http://seekingalpha.com/article/4044813-death-commercial-database-oracles-dilemma
    It is so interesting about this article since I like to know more about commercials. In this article, it is talking about the commercial marketing through 2013 to 2021. And it will decreasing in the next few years. If u look through the summary of article, you will be better understand about the link.

  • http://www.pewinternet.org/2016/11/11/social-media-update-2016/
    I found this interesting because I never knew that facebook was still so widely used. Lately I hear that its been dry, and everytime I’ve checked mine, it was littered with lots of spam. It was more than double the percentage of the second most used social media site, which was instagram, which was purchased by facebook. It also shocked me that twitter came in at last place since it seems that everywhere I go, people usually promote tweets, which I would expected to be at the top of the list.

  • https://www.theguardian.com/books/2017/feb/26/irresistible-why-cant-stop-checking-scrolling-clicking-adam-alter-review-internet-addiction

    People are so glued with smart phones and can’t stop can’t stop checking, scrolling, clicking and watching. The next probably will be virtual reality.

  • https://fivethirtyeight.com/features/would-trumps-blue-lives-matter-effort-really-help-protect-police/
    This article takes a look at President Trump’s signed executive order to try to make attacks on police a federal crime. The article takes a look at the numbers behind cop deaths to see whether this would truly have an impact and protect cops. Behind the numbers, the highest cause of death for a police officer between 2011 and 2015 on average was traffic-related, which makes the proposed changes, not necessarily effective, as traffic-related deaths are accidental, and the order won’t do anything for accidental deaths. The article was interesting, because the way the media frames attacks on police officers, you would think law enforcement deaths would be on the rise, however, according to the article, they have been on a downward trend for overall for years. Hopefully something can be done to effectively protect police officers, as I am a strong supporter of law enforcement.

  • http://www.vox.com/science-and-health/2017/2/2/14485226/americans-avocado-consumption-usda-report
    It’s obvious that I am very into health sciences and medicine, so the article I chose discussed current eating habits of Americans and how we are having trouble finding balances between nutrients. According to the article, Americans have started making better choices in their diet (i.e. less beef, more chicken, less fats, more fruits and veggies, etc) however, our consumption of added sugars and fats still continue to be a major part of the American diet. Despite these healthier swaps, we are continuing to eat more food in general, which is why the obesity rates continue to climb.

  • http://insidebigdata.com/2017/02/26/2016-big-year-big-data/
    This article is about how 2016 was the year for big data. Article says how big data was very useful to overcome major problems in this world. AI Advancement Rocketed, Tax Shelters Unveiled, Human trafficking taken down to notch, Better cancer research, HIC outbreaks battled than ever before.

  • https://fivethirtyeight.com/features/how-a-weakened-mexican-economy-could-threaten-u-s-security/
    This article is about the new president Trump of the United States trying to build a wall between Mexico and the US, putting harsh tariffs on Mexican imports and its consequences. All of which Trump is doing will make it tough for Mexican economy and this will relatively affect badly to the US. Data in the article shows clearly that throughout time, the weaker the Mexican economy is, the more immigrants will come to the US from desperation. Therefore, this will back fire the first intention of Trump to decrease the number of immigrants coming. A weak Mexican economy will also results in many social issues that would also cause the Mexicans to be even more desperate coming to the US. Without a strong economy, Mexico would not be able to manage problems like pollution and diseases, being a neighbor, the US would then also at risk.

  • http://www.basketball-reference.com/friv/mvp.html

    Last time I was focusing on basketball players and their percentages in shooting. This time I am looking at leaders of the MVP race in the NBA and what makes them good enough to be an MVP. In this chart it shows all aspects of an NBA player. This is anything from percentages to shooting, rebounds, assists, etc. Based off of James Harden stats the number one leader in the MVP race has one of the best records as a team in the NBA. Most of his stats as really higher numbers than other players in the league and shows that he deserves the spot to be MVP this season.

  • https://www.premierleague.com/stats/top/players/appearances

    For this set of data I decided to go with all the data that is compiled for the Premier League in England on their website. The reason that this is such a good set of data is the fact that it doesn’t just focus on the few main stats like goals and assists, but has a wide range of stats that can give you more about different types of players. Not all players are solely focused on scoring goals so this is able to give you that wider range of stats that can show you far more about a player and what they are capable of.

  • http://snip.ly/pJsZ#http://www.puffpuffproject.com/languages.html
    This is data visualization is very interesting to me because it shows how many languages there are in today’s world. It’s pretty detailed on what country speaks which language and etc. I find it important and relevant because I believe it’s important to be multilingual. As I am, trilingual, I find it extremely helpful communicating with others whose first language isn’t English.

  • https://www.wsj.com/articles/todays-deeply-researched-judicial-ratings-date-to-eisenhower-era-1487932201

    The data visualization in this article is extremely interesting because of the current situation of the country. Neil Gorsuch was just appointed to the Supreme Court Justice position after Scalias passing. It shows how hard the ABA scrutinizes it’s candidates for federal judge positions. It makes sense how hard they are judged though because they are appointed for life. I think Gorsuch is a great pick for the position because he will raise our moral standards in the court of law.

  • https://www.bloomberg.com/gadfly/articles/2017-02-23/snapchat-s-ipo-is-lunacy-but-it-could-be-crazy-good?cmpid=socialflow-facebook-business&utm_content=business&utm_campaign=socialflow-organic&utm_source=facebook&utm_medium=social
    This article shows us how risky it is to buy Snapchat shares based on data about its management and based on data about other tec companies that went public. It will be very interesting to see how Snapchat stock does, since Snapchat is a success among teens and young adults nowadays, but is being threaten by the latest Facebook moves.

  • https://fivethirtyeight.com/features/demarcus-cousins-cant-jump/

    This article looks at one of my favorite NBA players, Demarcus Cousins. He is one of the tallest players in the NBA, but he leads the league in times his shot is blocked in a game. He gets blocked 1.6 times per game, more than players like the 5′ 9″ Isiah Thomas or Kemba Walker. One hypothesis to why he gets blocked so much is he holds the ball longer than any NBA center, he averages 2.34 seconds per touch. He also posted one of the worst verticals ever at the combine in 2010. His max vertical is 27 inches, which is less than the average by about 3 inches. Both of these factors lead to why he has his shot being blocked, despite how tall he is.

  • https://www.climate.gov/news-features/featured-images/late-winter-heatwave-hits-us-february

    This article talks about the latest “winter heatwave” to hit the central and eastern areas of the United States. This is interesting to me cause this heatwave has been great, have spent a lot of time outside, but it also makes me wonder whether this is good for the environment. The chart that they show in the article is absurd how warm northern cities like Boston are. It would be really interesting to see the climate map compared to another time in the past 10 years and see the differences.

  • https://catalog.data.gov/dataset/global-change-master-directory-gcmd
    This article describes the GCMD database, which holds more than 30,000 descriptions of Earth science data sets and services covering all aspects of Earth and environmental sciences.

  • I found data in this link on rappers and the amount of unique words they use in their first 35000 lyrics, according to rapgenius.com
    This information is fairly reputable, id have to say for the most part rapgenius matches up, and there are some interesting things. This guy aesop rock makes up alot of words.
    https://pudding.cool/2017/02/vocabulary/index.html

  • Millennials are the largest generation in America’s workforce and they many feel they have something to prove, hence they must validate their talent, credentials and accomplishments. The impostor syndrome is when you share qualities similar to perfectionists: depression, frustration, anxiety and anger. In fact, millennials struggle with perfectionism more than any other generation. This explains why millennial professionals struggle with the Pareto principle i management (80% of a professional’s output comes from only 20% of the time spent on the project) Additionally, 20% of a professional’s output comes from 80% of the time spent on the project.

    https://www.forbes.com/sites/christinecarter/2017/03/01/perfect-or-productive-why-8020-is-hard-for-millennial-professionals/#6f61e6b71292

  • https://www.nytimes.com/aponline/2017/03/01/us/ap-us-on-the-money-online-grocery-tricks.html
    This article is about how retailers are finding a way to bring the impulse buys found near the register in a brick and mortar store to the digital sphere. Companies are using big data to find customers that will be interested in the product and likely to make an impulsive buy, and they are targeting those individuals with ads. This is interesting to me because I am a marketing major, and it is also relevant to me as a consumer

  • http://rismedia.com/2017/02/23/report-inaccurate-data-undercuts-business-decisions/#close

    I thought this article was very interesting because it talks about dirty data and how it can undermine business decisions. Dirty data is something that I feel like I should be heavily aware of because I hope to become a business analyst and that involves making decisions with a lot of data. The article also talks about the need to trust your data. Not trusting your data can lead it to become dirty data. Data, even dirty data, is important for companies to interpret other information.

  • https://phys.org/news/2017-03-asian-pollution-worsen-smog.html
    This article contains only one data visualization but has an adept analysis of the relations pollution by countries in Asia and how that influences concentrations of smog in the US. I found this article particularly interesting in relation to my Environmental Ethics class, in which our current topic is climate change and the moral question of responsibility. This article, I feel, is a strong connection between the theoretical application of thought and ethics about pollution and the research and data science that leads the way for a tangible resource to create a better model for environmental sustainability.

  • https://www.sciencenewsforstudents.org/article/what-happens-when-you-look-crime-numbers

    This page shows unreported drug crime in Oakland by map data. It’s interesting that they can find sign of drug activities and mark some areas as estimated drug areas, but they can’t prove those potential drug users are guilty. Therefore, crime data like this case can’t be clean.

    TIANYI KAO

  • https://www.theguardian.com/news/datablog/2016/sep/23/older-americans-vote-republican-fact-check-election-2016

    This article is about a polling about American voters, their age, and which party they most likely belong in. It talks about how older Americans are more likely to vote Republican than Democrat, which I figured due to having more conservative view points. With the election being very recent I thought it was a refreshing article with relevant data.

  • http://www.nature.com/news/don-t-let-useful-data-go-to-waste-1.21555

    This article is intriguing because it brings up a information issue people face everyday: open data. To stay up to date with the new advances in medicine, one must attend conferences. But unfortunately, “too few researchers are consulting and using publicly available data.” There are numerous amounts of data compiling in community databases that are informational and beneficial for the public but is not being used. This raises a question regarding the release of information and why I believe open data should be more wide spread and available.

  • http://www.mastersindatascience.org/industry/finance/
    This article to me was very interesting because of how many things I’ve learned in this class and how those things relate to real life financial jobs. This article talks a little about hadoop and other programs like it, and how these programs are pushing forward a companies ability to tap into non traditional data sets. In addition, the article talks about how they can use large data sets to for predictive analysis. This would give a company a competitive edge in predicting the way a market may turn out.

  • https://www.nextplatform.com/2017/02/03/data-analytics-probabilities-super-bowl/

    This article is about the data analytics in American Football is quite intriguing. The article goes through the different levels of how they collect data, and use that data to predict better outcomes by including several variables. There process of analyzing the super bowl was what sparked my curiosity in the matter, in the article they compare Matt Ryan vs Tom Brady pass percentages and the areas in which the passes were thrown in. The patterns showed that Brady had a high pass percentage in the same circumstances and moving players. The article explains why they take so many measures and how those measures lead to better movements for the NFL.

  • http://www.cnn.com/2017/02/03/politics/donald-trump-approval-rating/
    This Article is about Presidential approval ratings currently and in the past. The data visualization they chose to use is 3 columns with president’s head’s and their presidential approval next to it. Visually you can understand what they are saying right away. The far left column has the highest values while the far left has the lower values. I thought it was interesting that trump is the only president to hold a net-negative rating this early in his tenure. I am interested in what this visualization will look like when Trump is at the end of his presidency and where he will lie in the data.

  • http://www.pewinternet.org/2017/01/26/americans-and-cybersecurity/
    This article’s focus is about protecting data and cyber security. The article contains polls regarding Americans opinions on cyber security and how well different sources are protected. In general Americans feel that social media sites are the least safe when it comes to security closely followed by the government. On the other end of the spectrum most Americans trust cell phone manufacturers the most when it comes to security followed by credit card companies.

  • http://www.economist.com/blogs/graphicdetail/2017/02/daily-chart-19
    This data is about diamond and how they are expected to peak in the next few years, I thought this was interesting because in the next few years women my age will be at the age that they may be proposed to soon. Therefore, don’t be flattered when he gives you a large diamond as a token of his love, they’ll be cheap by then. Some other suggestions may be black opal, Benitoite, or Taaffeite. These precious stones retail for thousands of dollars per carat and could replace the diamond as the new symbol of love.

  • http://www.kdnuggets.com/2014/04/elusive-data-scientists-driving-high-salaries.html
    This is a very interesting article about the top data scientists today, which includes information about their salaries, education, geographical background, and more. This article also includes some interesting visualizations to look at and analyze.

  • http://www.nature.com/news/peer-review-activists-push-psychology-journals-towards-open-data-1.21549

    This is an interesting article about a reporter who stated that he would not review papers that did not show their data or explain why they can not. For this stance, he was eventually fired for his position. This is a very interesting topic, because it speaks to the state that big data and open data is now. Whether we like it or not, open and big data is becoming the norm, and we should learn to accept it with all of its positives and negatives and eventually adapt.

  • http://www.ifpi.org/global-statistics.php/index.html
    This link provides statistics on the sale of music around the world. It shows what areas were more popular in how the music was received versus what was less popular. It also gave links at the bottom to different stats like the most popular artists. As a musician myself I find this data interesting to see what is best for me to sell my music on or if it is better to upload it for people to stream for free and then make my money through marketing techniques at shows.

  • http://fivethirtyeight.com/features/oscar-voting-is-engineered-to-favor-movies-like-la-la-land/?src=obbottom=ar_5
    This article has some statistics which are points from awards and nominations of all the nominee from Oscar 2017. What interesting about the data is that it shows the big different between points of La La Land and other movies nominated. La La Land has the highest points and three time higher than the points of the second movie.

  • http://philadelphia.phillies.mlb.com/schedule/sortable.jsp?c_id=phi
    In this data set, it shows the wins and losses of the Phillies so far this season. It also allows people to classify more specifically whether the game is home or away, what month it was, what day of the week it was, and who their opponent was. This is interesting to me because I am a big Philadelphia Phillies fan, and want to see whether it is better for me to go to one of their home games or to travel somewhere, that way I am watching a game they are more likely to win.

  • https://trumpcare.com/trumpcare-vs-obamacare/ This infograph shows the differences between Obamacare and Trumpcare (which will be voted on today by the house of representatives). I picked this because it affects all americans and the differences between Obamacare and Trumpcare are vast. For example, the individual mandate would be eliminated under Trumpcare, which was a mandate requiring all citizens to have healthcare coverage (or pay a fine)

  • http://www.news.gatech.edu/2017/04/19/interactive-visualization-illustrates-uncertainty-nfl-draft
    The following interactive visualization illustrates a comprehensive breakdown of decisional tendencies NFL organizations consider when preparing to select their future draft picks, via reliance on player attributes and skill ratings that essentially determine which types of football players will appear most compatible with that team’s general scheme. Statistical correlations are then computed across each of the seven (7) rounds to predict which players will most likely put up the best numbers and largely contribute. The aggregate data shows broad comparisons and differences between each individual player, which is broken down by position. The visualization also reveals historical trends according to how often a team selected what position and during what round.

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Office Hours

Joe Spagnoletti (instructor)

Office: Speakman 207H

Hours: (1:20-1:50, 3:00) M, W, F by appointment.

Email: joespag@temple.edu

TA: Prince Patel

Email: Prince@temple.edu