Section 001, Instructor: Laurel Miller

Weekly Question #8: Complete by April 6, 2017

Leave your response as a comment on this post by the beginning of class on April 6, 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:

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.

57 Responses to Weekly Question #8: Complete by April 6, 2017

  • https://www.bloomberg.com/view/articles/2017-03-01/bigger-data-isn-t-always-better-data

    This article was interesting to me because it explains that algorithms can be flawed when working with data. It is relevant because the article goes into how more data doesn’t always mean more accurate results. This is due to more data meaning more room for flaws. Although this may not always be true, in the specific case of this article it is true that more data isn’t better.

  • https://www.sciencenews.org/article/single-atom-magnets-store-bits-data

    The amount of data we have is increasing at a phenomenal rate. This means we may run of out data storage. This article tells us that scientists are storing data via the orientation of an atom. They have successfully stored two bits of information, which something that has barely any space at all. If we could harness this storage option, our data storage warehouses could increase indefinitely.

  • https://projects.fivethirtyeight.com/2017-mlb-predictions/
    FiveThirtyEight posted their 2017 MLB predictions on March 31st using 100,000 simulations of the season. The article is interesting as it has predictions for run differential, % to reach the playoffs, % to win their division, and % to reach the world series, as well as record predictions. Looking through the data, it is worth noting that there are some teams with much higher projected records, despite having much lower run differential.(which is calculated based on the number of runs scored and number of runs opponents scored against the team) With some division having higher projected playoff probability for teams with much lower records, it will be worth bookmarking this prediction and checking in at the end of the season to see whether or not the divisions ended up playing out in a relative fashion to these predictions.

  • https://fivethirtyeight.com/features/the-white-house-takes-its-attacks-on-jobs-data-to-a-new-and-dangerous-level/

    I find this article is interesting because I always thought the unemployment rate of below 5% in the U.S was a really good thing. This article says that Trump and his administration accuse Obama administration of “manipulating” the economic data to lower the unemployment rate; however, they haven’t given any extraordinary evidence about this. But it does a good job in raising concern about whether the unemployment rate data truly reflects the economic condition and the market’s health when it only counts the number of people who are actively looking for jobs. This also reminds me of the bias in data and data integrity, which are very important in giving conclusions and making decisions. Even government statistics does not truly reflect real life situation!

  • https://fivethirtyeight.com/features/how-the-gop-bill-could-change-health-care-in-8-charts/
    This article talks about what could happen if the American Health Care Act passes. This is interesting to me because if this bill is passed, it would greatly affect me because my family is part of the 20% group under medicaid and it’s possible that we can lose health coverage. It also states that under the GOP bill, insurers can sell coverage based on age. The older you are the more expensive and the less help you’ll receive and I believe that that’s really unfair. In addition, it would severely limit federal funding for health services at Planned Parenthood clinics and cut funding for public health programs.

  • https://www.theguardian.com/news/datablog/2017/apr/01/listeria-batteries-and-botulism-why-food-products-get-recalled

    This article discusses certain foods getting recalled for reasons such as “discolored meats” and “pieces of metal”, and why these foods are recalled as well as other. The article mentions other reasons such as containing bacteria traced to salmonella, e-coli, etc. According to the data, this is where more than one third of the recalls come from is bacteria similar to those. According to the chart provided in the article, other recalls come from reasons such as foreign objects within the product, mislabeling, and also manufacturing or packaging issues. It makes this article very clear by adding in the data provided in the chart within the article as it shows what types of foods are recalled most frequently, as well as the reasoning behind why they were recalled.

  • http://herald-review.com/sports/basketball/march-madness-predicting-the-final-four/collection_37f462e0-0519-5eb5-86e1-4345cbf1019a.html

    This article discusses how PointAfter, a sports data site, is using Bing Predicts to try to make its most accurate predictions for the NCAAB Final Four. This shows how data sites actually use other data sites and their sources of data to fuel their own. This is very cool to me because I enjoy basketball very much. Basketball is my favorite sport and I think it is pretty cool that there is so much data behind the actual predictions. This article taught me the importance of data in every aspect of life, especially sports.

  • https://www.theguardian.com/sustainable-business/2017/apr/01/airline-food-waste-landfill-incineration-airports-recycling-iberia-qantas-united-virgin
    As a person who travels a lot, I usually wonder what happens to the airplane waste and how much does it weigh. According to the article, airlines passengers generated 5.2m tones of waste in 2016. This is a significant amount of waste and it bothers me because I am one of those people who only eat only the bread and drink the juice and water but keep the rest uneaten. The article states that the waste contains the toilet waste, wine bottles, half-eaten lunch trays, unused toothbrushes, and etc. I felt worse after hearing that because i thought the food I did not touch would be recycled at least, not knowing they threw them away. Also, the article states this costs this industry $500M per year, which is also a significant amount of money that can be reduced. I am hoping they solve this issue and have their products be recycled instead of being thrown away unused.

  • https://fivethirtyeight.com/features/americans-shift-to-the-suburbs-sped-up-last-year/

    This article talks about Americans’ shift to the suburbs sped up last year. This is relevant to me because I live in the suburbs and have been there most of my life. The data census gathered 3,000 U.S. counties into six categories, which were large metropolitan, densely populated suburb, lightly populated suburb, midsize metro, smaller metro areas, and finally rural counties. The fastest growth region in the suburbs was the lower-density suburbs, which were 1.3 percent. In the end, this will help me determine what population density I would like to live in the future. From reading the article, Sunbelt cities seem like a very comfortable lifestyle choice.

  • As a society, much of our wealth revolves around data. How? Trading. Billions upon billions of dollars are moved each day as bets are made as to which stocks/bonds/commodities will go up and which will go down. It’s a lot more complicated than that, but that’s the gist of it. This article discusses how treasury notes have fallen as traders and economists were waiting for data to support surveys that had been done. It’s not the most interesting article, but it really made me think about how much day-to-day operations depend on data. We kind of take it for granted at times, but we really shouldn’t because the British Pound just dropped 0.5897% which probably equates to a couple hundred million dollars lost or won, depending on the trades.
    URL: http://www.marketwatch.com/story/treasury-yields-fall-after-muted-economic-data-2017-04-03

  • Source: https://fivethirtyeight.com/features/nba-teams-are-resting-players-earlier-and-earlier/

    This article from FiveThirtyEight talks about the recent increase in resting players in the NBA. Data shows that from 2005 through this year, players have been rested more and more each year. The increase in rest for NBA players dilutes the product for fans who spend tons of money for single game and season tickets to see their favorite players perform. This affects me because I am a huge fan of pro basketball, and watching teams like the Cavaliers play without a healthy superstar like Lebron because he is resting is disappointing, especially as a person who likes to evaluate teams for the playoffs.

  • https://www.ft.com/content/5a8ff636-36be-11e3-8ae3-00144feab7de

    This article pretty much ties music and science together. I thought it was interesting because when I first learned music theory, it felt like it’s own science. The whole process of writing, editing and producing music has similar intricacies as science. It also stood out to me because I’m a music major taking this (science) class so I thought it was interesting to tie the two together.

  • https://android.gadgethacks.com/news/your-android-apps-are-secretly-getting-chatty-with-your-data-0176896/
    Through DIALDroid, researchers from Virginia Tech were monitoring the exchanges of data between apps on Android. The team found that over 110 thousand apps were mining information from each other without asking for permission first. For the apps that do not have a good reason to ask for extra permissions would get their information through other apps. The app creators were colluding with each other as a way to get information about the users without the knowledge of the user.

  • https://fivethirtyeight.com/features/new-york-now-has-more-mets-fans-than-yankees-fans/

    In this article it discusses a poll taken in New York City that analyzes the number of Yankees vs. Mets fans. Since 1998, the yankees have had more fans in New York City than the mets. But, this year there are more Mets fans, 45% being Mets fans, 43% being Yankees fans, and 2% other teams. Over the last 20 years the Yankees fans have had a 31-55% lead over the Mets. Even last year the Yankees had 61% of fans in NYC and the Mets had a mere 27%. It is quite surprising that this year the Met’s gained a much larger percentage of fans.

  • https://www.nytimes.com/2017/04/03/autossell/pro-golfers-find-winning-rounds-from-numbers-crunching.html?_r=0
    This article talks about how a golfer in the past few years has used a team of golf professionals, data experts, and software engineers to apply intelligence to data for creating a winning strategy in his golf game. It started when the golfer, Brandt Snedeker, was approached before one of his rounds by an accountant that told him he was going to win. He eventually did win, and applied the accountants strategies to help him succeed in the future. He continually grew his earnings from golf each year, and now there are multiple golfers that are starting to use his same approach.

  • https://www.entrepreneurs-journey.com/14580/how-much-traffic-to-make-100k/

    This article is about how many visitors you need on a blog to make $100,000 a year- something that sounds amazing to me. He uses an example of 200 visitors a day to your blog. If 10 people sign up for a newsletter that promote merchandise, and one out of ten who joined your newsletter buy your product (adding in those repeat buyers who will become loyal to your site), he comes up with 15,000 a month. That’s 180,000 a year. This is interesting to me because I am an aspiring lifestyle blogger and it’s nice to know there are ways to make money from it, even if his numbers aren’t completely correct.

  • http://www.theverge.com/2017/4/4/15159148/norway-data-vault-svalberd-mine-storage

    This article discusses the new Arctic World Archive built by the Norweigan company Piql. The archive serves as a remote place to keep important data safe from natural disasters and global conflicts. Several national governments have stored their historical documents and other data in the vault already, and this data can be preserved for up to 1000 years with the film technology that Piql has developed. Clients can send their data digitally or physically, and request it at anytime, making the Arctic World Archive the safest place to store data for an extended period of time.

  • https://projects.fivethirtyeight.com/soccer-predictions/?ex_cid=rrpromo
    Even though this is not an article, however this is a prediction for the EPL(Englih Premier League) 2016-2017 season (updates daily).
    This data in the listed shows us the prediction that which teams will be qualified for Champions league which only allows for top four teams to play, and also which team will most likely to win the league based on their current performance. I find it very interesting that they are able to make such predictions at this point of the season, since there are still many matches to be played. Their predictions are not 100% accurate, but it is considered pretty reliable.

  • https://www.theguardian.com/books/datablog/2017/mar/18/the-fall-and-rise-of-physical-book-sales-worldwide-in-data

    The article I chose is about the changes in the worldwide book market. I found it interesting because it shows how correlation does not equal causation. On first glance, one might assume that a fall of physical books sales is caused by a rise of electronic book sales, but after further examination, changes in the physical book market are more due to the popularity of certain books released than the popularity of ebooks.

  • http://www.agprofessional.com/resource-centers/precision-ag/cubbage-diminishing-value-basic-data-dangerous
    The article I read about talks about free data. Free data makes all data available to anyone anywhere. By placing a price on data it makes those with good reliable data standout and those with bad data fall behind. This is relevant because when using data in the professional world is very important and bad data can skew one’s predictions/solutions.

  • https://www.cnet.com/roadshow/auto/2017-bugatti-chiron/preview/

    In this article, the new Bugatti is more than just a car, but a piece of technology from the future. To design a car with a whopping 1500 horsepower and to achieve a speed of over 260mph takes more than just a couple tools. For example, I watch a video of engineers design the Bugatti with tools that have digital meters on them to measure torque, which is more than what you’ll find at your common garage. The aerodynamics and 3D visualizations in the prototype stage are just a couple other ways that this car is one of the fastest production cars money can buy.

  • https://fivethirtyeight.com/features/new-york-now-has-more-mets-fans-than-yankees-fans/
    The article I read about shows how for the first time since 1998, more New Yorkers like the Mets now rather than the Yankees. 45% of New Yorkers like the Mets and 43% like the Yankees. This is pretty interesting because in past years usually the Yankees have at least a 30 point margin over the Mets. This sudden change in favoritism is probably due to just whoever wins more baseball games. The Mets have been in the playoffs and even made it to the World Series in 2015. The Yankees haven’t been to the World Series since they won back in 2009. Polls were taken showing which team is favorited in the Subway Series and it showed that the Yankees are the favorite, even though they’re considered the most hated team in baseball.

  • http://www.dataversity.net/gold-big-data-analytics-process-mining-enterprise-data-assets/

    This article talks about a new data analytics technique called process mining. Process mining examines the flow of work in any business process from beginning to end in order to find where money can be saved by the business. This process can predict how a business can become more efficient. Big data is harder and harder to analyze for companies and these new processes provide use of the data.

  • http://insidebigdata.com/2017/03/24/government-use-big-data-cybersecurity/
    This article talks about cybersecurity and solutions to increase it using data software tools. I believe it is relevant because given the increasing number of threats by criminal it is important for nation states and government agencies- which most of the time do not have the personnel, tools, or time to properly handle the data – to learn how to protect themselves of such attacks. The tools the article suggests to use, among others, are: Hadoop and MapReduce, which I thought was very relevant because it is what we are studying now at class.

  • https://www.theguardian.com/us-news/datablog/2017/apr/04/equal-pay-day-us-wage-gap-gender-race-ethnicity
    The article talks about gender wage gap in the US. The author gives some explanations about the gender difference in wages, which is partially due to the fact that women work fewer hours than men, and men are involved in occupations with higher paychecks. The figure of “80 cents on the dollar” does not accurately reflect the wage gap, because the Census Bureau fails to take into account factors like work location, age, race, ethnicity, educational status, etc in their calculation. The Census Bureau can only examine one factor at a time since they meet with difficulties in creating a large enough sample size concerning multiple factors.

  • https://www.thenation.com/article/bernie-sanders-just-introduced-his-free-college-tuition-plan/
    I choose this article because it has a deep impact on my future. College for All Act aims to eliminate tuition and fees at public four-year colleges and universities for students from families that make up to $125,000 per year. they gather all of the data for the income from the IRS and that’s how they’ll know who’s making what. The bill would make community college tuition-free for all income levels.I think if this bill would be passed it would change the U.S for the better. This would mean that I don’t have to work 40 hours and be a full time student so I can pay tuition. It can be much easier for many people.

  • https://www.wsj.com/articles/for-googles-data-wars-it-all-comes-down-to-location-1491217202
    This article discusses how prosecutor’s are demanding Google to disclose data information from various networks for criminal probes. This is a topic similar to that of the dispute with prosecutor’s and Apple. In this case, Google has been compliant with data that they can find domestically within the U.S. However, a NY Federal appeals court declared that warrants could not reach data stored abroad. This data is stored in data center networks that are difficult to locate because most of the data has been broken into smaller fragments for faster efficiencies and cost reductions for the data centers networks. I chose this article because this topic is similar to what we had seen with Apple in the past and because its relative to a controversial debate regarding data & privacy.

  • http://www.autonews.com/article/20170403/RETAIL01/170329816/sales-slip-1-7-despite-higher-discounts
    This are all big automaker’s sale on March, 2017. As we see, GM is the best sale in America now. Last year, Ford took the first ranking. But their sale decrease this year. Toyata still keep their third place. For the whole america market, the total sales decrase this year.

  • https://projects.fivethirtyeight.com/2017-march-madness-predictions/

    This article shows you the probability of a team winning through throughout the game in March Madness for men. For example, if you look at the championship match Gonzaga had a higher chance of winning on UNC. After the half things start to get weird, Gonzaga starts to play worse and worse all the way until they blew the game in the final minutes to give UNC the win.

    Look at Men then hit the drop down box and look for championship

  • https://fivethirtyeight.com/features/tony-romo-was-a-good-qb-in-an-era-of-great-ones/
    This article discusses the now former NFL quarterback Tony Romo and his statistics over the course of his career. Although Romo was well known for his shortcomings and mistakes, most sports analysts agree that he was actually a good quarterback. Now that he has retired, this article takes a look at his whole career and measures his significant statistics against other quarterbacks of today. While his aggregate stats failed to measure up to some of the bigger names, his average stats per game and per play were quite excellent. This is significant to me because I follow football and always enjoy looking up player statistics.

  • https://fivethirtyeight.com/features/nba-teams-are-resting-players-earlier-and-earlier/
    Being a huge NBA fan I of course look up data which relates to the NBA league. This one was really interesting because it combined one of the biggest NBA debated question with real data. The point of this data is showing the comparison of players being rested from previous years vs this year alone which then argues the fact that it’s becoming more of a trend. This also brings question if we should limit on players resting or if we should let the coaches decide. The huge data difference proves to be a very debatable topic.

  • https://fivethirtyeight.com/features/this-is-how-you-master-the-masters

    My whole life I’ve grown up with a golf club in my hand and having the Masters this coming week has more excited than ever. The data in this article is specifically meaningful to me as I am able to find out who is more likely to win and play their best golf. Golf has turned into a numbers game where they are now putting a number to every unthinkable part of the game. The most important parts to me are where people gain their strokes back such as: off the tee, putting, around the tee, etc.

  • http://money.cnn.com/2017/04/05/technology/online-privacy-faq/

    Internet providers can sell people’s browsing information to advertisers. Even though they say that sensitive information will not be given without consent, what is there to stop them from getting since they have gotten halfway there. This is relevant because I do not want people to see have information about what I do privately on my computer whether it is accessing documents or watching YouTube videos. At least let me have some of the profit since I am doing part of the work of browsing.

  • http://www.phillyvoice.com/miamis-el-clasico-a-blatant-cash-grab-and-everything-thats-wrong-with-american-soccer/
    Soccer is the #1 sport in the world, however it isn’t as popular here in the United States. The reason for that is because the MLS (soccer league in the states) isn’t as big as other leagues around the world, which means it doesn’t have big name clubs or players. The article talks about how to teams form Spain (Barcelona and Real Madrid) are coming to Miami to play a friendly match. The cheapest tickets are around $750. which is to tell us that maybe if the MLS was too grow and start getting big name players in their prime, it will start competing with sports like Football and Basketball.

  • I recently found this interesting article while I was reading the news about Italy Q4 budget deficit which is 2.3 pct of GDP, stable compared to the same period last year. The article does not seem to be relevant but if take in consideration the diastrophic situation in Europe, including Brexit and the negative impacts that caused to the European Union, the data shows a stable trend without any major consequences due to the exit . A possible solution behind this phenomenon might be that there are some positive forces that are maintaining the Italian budget deficit steady.

    http://www.hellenicshippingnews.com/italy-q4-budget-deficit-2-3-pct-of-gdp-stable-vs-same-period-last-year-istat/

  • https://www.theguardian.com/us-news/datablog/2017/apr/04/equal-pay-day-us-wage-gap-gender-race-ethnicity
    This article was very interesting to me, because of the talk on equal pay, based on our race, and genders. The article gives a lot of statistics on the how the gender, and race gap varies our pay as well as looking into where we work, age, and education. It was also very cool at the bottom of the article to see a map that they made that you can scroll around and it would tell you that “For every $1 a man makes, a women makes …” for each state. You can really see the diversity in the wages, but you can clearly see that there is a better pay for white men above everyone else.

  • http://libertystreeteconomics.newyorkfed.org/2016/02/the-graying-of-american-debt.html

    Student debt is an important aspect of my life since it is the largest debt that I presently have to face. This article is interesting in showing the different types of debt and how they affect different ages. It highlights the difference of debt of older people from 2015 to 2003, which is interesting to see how much it has increased. Another tidbit that I found interesting is that there is a small percentage of people who still are paying their student loans in there sixties according to this article which I find bewildering. It is also scary to see how much student loans increased in ten years, especially since there is nothing being done to stop this growth.

  • https://fivethirtyeight.com/features/mars-madness-68-cool-things-about-mars-go-head-to-head/
    This article is called Mars Madness, a spinoff March Madness. It is a fun way to learn about Mars and all the rovers, martians, orbiters, and even failures. They had seeding: Sweet 16, Elite 8, Final 4 for each ‘region of competition.’ No. 1 Curiosity rover ended up coming out on top, defeating No. 5 Mars Reconnaissance rover in a head to head battle. Curiosity is the newest rover sent to Mars (2012) and the riskiest mission attempted. People were surprised it worked and did not blow up, fall into the ocean, or not even make it all the way to Mars in the first place.

  • http://www.databreachtoday.com/kaspersky-links-north-korean-ip-address-to-lazarus-a-9810
    This article called Kapersky Links North Korean IP Address to Lazarus details the investigation of the Lazarus group which has been linked back to North Korea through a single IP address. North Korea only has 1,024 IP addresses in the country and they are all run by a single provider, Star Joint Venture. Since North Korea is such an elusive country, being linked to massive cyber attacks would insight investigation by other nations. I found this article very interesting because even a country with so few IP addresses can be caught when hacking if people know what they are looking for.

  • https://www.nytimes.com/2017/04/04/technology/personaltech/when-your-mail-moves-itself.html?rref=collection%2Fsectioncollection%2Fpersonaltech&_r=0

    This article discusses how Google’s Gmail reads the data in emails to automatically decide to archive messages that the user would never be interested in. By learning data behavioral patterns of different users, smart algorithms can learn and react, deleting spam emails that the technology knows you don’t want. This is super interesting because it doesn’t only involve data, but a database with a formula that learns from the data it collects! Crazy!

  • http://www.nature.com/news/smart-manufacturing-must-embrace-big-data-1.21760

    I think this article is interesting because you never realize how much data there is and how it can apply to so many different areas. In this article, it discussed how big manufacturers should begin to look at the data they have to improve the production lines. With the time we live in now, it almost seems impossible for manufacturers to have not jumped on the big data boat yet. The article provided ideas on how to do so including: designing and studying predictive models.

  • http://www.kmworld.com/Articles/News/KM-In-Practice/A-seamless-fit-for-data-analytics-at-Knorr-Bremse-117187.aspx

    I found this interesting article online that speaks about how a Munich based manufacturer of braking systems for rail and commercial vehicles is implementing a data analytics solution to help its customers with better data-driven business decisions. The platform they have developed transmits detailed data that can help predict repair and replacements needs for its customers ultimately helping them be more efficient and cost effective. The solution aims to bring digitization to the rail business, by connecting wireless enabled sensors aboard trains to back office, cloud based networks. This article is interesting because one can clearly notice the impact of data driven analysis to businesses and how it enables them to be more efficient. The customers of the product can easily identify important data related to maintenance and repairs through interactive graphical dashboards, so that they can implement measures to avoid failures and extend component life, thereby saving themselves a lot of money. This system is great example of how big data can be useful if analyzed accurately.

  • http://www.huffingtonpost.com/entry/bringing-data-science-to-the-masses_us_58e6103be4b0ee31ab9534f8

    This article talks about smart analysis, data visualizations and bringing data to masses. It also states how big data is one of the most important trends today. Business’s that manage their data gain an enormous competitive advantage over other business’s.

  • http://flowingdata.com/2017/04/04/visual-simulations-to-show-uber-game-strategies/
    I found a short little article that was of interest to me because it has to do with Uber, an app that I and my classmates use often. The article discusses how the app works more effectively with the use of psychology and video game mechanics to encourage drivers to be out longer and to go to specific places to get more customers. The visual simulation detailed in this article is fun and interesting. It tells users how long the passengers are waiting versus the percentage of idling drivers. This can help pinpoint where the drivers need to be at what times.

  • https://www.theguardian.com/technology/2017/apr/03/the-customer-is-always-wrong-tesla-lets-out-self-driving-car-data-when-it-suits
    The last article I linked that had to do with data regarded autonomous driving vehicles. This recent article directly relates to when data should be used and when it should be released. In certain car crashes Tesla would show the car data to show it was not responsible, but when it is Tesla’s fault they do not release the data. Tesla owners can not access the car’s data logs, and some think that is a breach of security.

  • https://www.engadget.com/2017/04/05/waze-traffic-eena-emergency-services/
    This article talks about how waze’s traffic data can help driver’s emergency and accident. It saids that its navigation service has partnership with Emergency Association which can share data of the driver to help police, ambulance and fire services detect and find location of the incident quickly. I use always use Waze to avoid traffic so this was very interesting to me.

  • http://www.reuters.com/article/us-comcast-mobile-idUSKBN1781Q7

    This article is about how Comcast has entered into the wireless communication business. This is interesting because this will totally disrupt the wireless market because Comcast can offer packages for their cable services and wireless services. This will incentive customers to have all their services with one company.

  • https://www.forbes.com/sites/karinagness/2017/04/04/why-equal-pay-day-is-a-flawed-holiday/#45baf5876270

    This article is about Equal Pay Day, and how even today women are still being paid less as compared to men even with a similar job, similar work experience, and similar educational background. Feminists say that women are being paid 82 cents on the dollar compared to the men due to discrimination. This year’s #20PercentCounts campaign is based on the notion that if women are paid 20% less than men, then they should pay 20% less for merchandise and services. It is sad that businesses are celebrating this holiday as a marketing tactic to attract women. As I enter the job market in the next few years, I am concerned about the wage discrimination we will face. This issue is still prevalent and needs to be addressed soon.

  • https://www.data.gov/maritime/stormy-weather-150-years-hurricane-tracks-atlantic-ocean/
    This article shows all the hurricanes that have occurred since the mid 1800s in the United States. I found this article interesting because I am very conceded with climate change and the affects that it has on our earth. I believe that as the water level rises due to global warming, there is an increase in natural disasters such as hurricanes. This is a good indication that my prediction is correct, and it is important to share this data so that everyone realizes that climate change and rising sea levels are serious problems.

  • In this article, 7-Eleven buys stock in sunoco. I think this is very interesting considering a big corporation is buying stock in another one. This data gives me the knowledge to possibly invest in a company like this if another huge company sees potential in it. Yahoo finance has a lot of credible data on stocks and many other business related articles. This article in particular is one to watch.

    https://finance.yahoo.com/news/7-eleven-buys-sunoco-stores-costco-sales-jump-yum-china-soars-beat-143121306.html

  • https://fivethirtyeight.com/features/we-rated-every-rotation-in-mlb-how-does-your-teams-stack-up/
    In this article, statistics about baseball teams are created and used to show what teams could be considered the “best”. more specifically, the article used a “Pitcher Score” in order t rank the teams, and judge how good a team’s rotation is. This is interesting because someone interested in baseball could use this data in order to back up their beliefs, or maybe change their minds.

  • http://www.businessinsider.com/washington-state-survey-shows-marijuana-legalization-didnt-affect-teen-use-rates-2017-3

    This article is intriguing due to the fact that it asserts that the legalization of marijuana has actually decreased its’ consumption rather increasing it. Even though this data was collected via a survey, done by a trustworthy source Business Insider, it is still quite hard to believe that such a conclusion would be valid. Furthermore, this is imperative because the use of any substance affects the developing brain and marijuana is no different. Hence, such data, which comes from ~230,000 students in the southern states of United States, where drug usage is most prominent, is ciritical for young kids.

    Thanks,
    Jay

  • https://fivethirtyeight.com/features/why-wont-the-census-ask-about-sexual-orientation/

    I read an interesting article I found on FiveThirtyEight that has to do with Census data and how they’re collecting it. We discussed in class how the way data is collected and the way questions are worded is an important part of the data collecting process. The Census Bureau sends out a Census every ten years to collect information on people living in the United States. The Census asks what your sex is but sometimes it’s not as simple as ‘male’ or ‘female’. People argue, especially LGBTQ members and advocates, that it is important to ask about sexual orientation to better understand the people in our communities. Not having a question like this on a survey that is supposed to be representing our population as a whole could skew data analysis. Members of the LGBTQ community deserve to be represented properly. We can’t exclude important questions like this because the data collected won’t be 100% accurate, we are completely ignoring a big and growing part of our nation.

  • https://www.entrepreneur.com/article/290594

    This article is about the frequent misconceptions small businesses have about big data. I found this article to be interesting in that it spoke to what a lot of small businesses think in a non-judgmental way. The top 5 conceptions included: Human touch outweighs anything automated, Revenue will not be enhanced due to data, Data should immediately solve problems, Data is too broad for niche businesses, and Collecting data will cost too much money. All reasonable but, like what we’re learning now data can help in so many ways of getting closer to the consumer and anticipating what they need. All viable ways to have a successful business.

  • http://admin.dataversity.net/want-iot-architect/
    I read an article about how to become an Internet of Things Architect. I found this article interesting because I think IoT will become more prominent in the future. The article talks about what IoT Architects do and several strategies they should use such as having good data management practices and becoming an expert in different technologies.

  • https://www.sciencedaily.com/releases/2017/02/170222125626.htm
    This article talks about how many athletes “sandbag” concussion tests to have a quicker recovery so they can get back to their sports sooner. In the article the researcher found a technique on how to identify when people are faking their concussion test. She explains that this worked 100% of the time when identifying “sandbaggers”

  • http://money.cnn.com/2017/04/24/investing/canada-lumber-tariff-trump/index.html?iid=SF_LN

    In this article, Trump has put a 24% tariff on Canadian lumber. This will be applied to any type of lumber that is brought into the United States from hereon. I thought this was interesting because it is very new and could have a big affect on us as a country.

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Office Hours
Laurel Miller (instructor) 11:00am-12:00pm, Tuesdays and Thursdays, Speakman Hall 210 or by appointment.
ITA information
Rebecca Jackson (ITA) By appointment only. Email: rebecca.jackson@temple.edu
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