Jeta Gjana

The scholars in my group are Ryan Harper, Yogi Patel, Jay Patel, and Adam Wolf. The subject of are group project is a specific bank stock price going up after Trump’s presidential election.

The scholars in my group are Ryan Harper, Yogi Patel, Jay Patel, and Adam Wolf. The subject of are group project is a specific bank stock price going up after Trump’s presidential election.

The members in our group are:

Noah Herman
Danny Crossan
Joseph Moreira
Thuy (Fiona) Ta
Katherine Murawski

The subject of our group is how the increase in tuition costs correlates to rising student financial aid.

Our group members are:
Olivia Rosati
Scarlet Wu
Christi Mac
Mikaela Kozel
Jonathan Richman
We are going to create a map showing restaurant closings in Philadelphia by location by year.

Our group members are:
Shefali Deo
Larissa Cavalcante
Karan Mehta
John Pillar
Jake Song

We will be discussing the immigration trends in the US, and how it has impacted the nation’s economy.

The members in my group are Allen Lin, Andrew Zarilli, Clark Dumblauskas, and Shane Fowler. The subject of our project is food scarcity in the continental United States and its potential relationship to poverty rate, geographic location, and population ethnicity.

Luke McHugh
Anthony McMahon
Nik Theodhosi
Mary Tang
Kevin Yu

the subject of our project is to compare the Philadelphia flyers to the entire NHL

The members in the group are:
Younes Ibrahim
Amer Darwish
Mohamad Mazlah
Dan Hoban
Jackson Marshall
The subject of our project is grades and time spent studying.

The members in our group are:
Joane Dang
Grant Harley
Jason Taing
Shadi Eid
Eric
The subject of our project is to compare crime rates and poverty.

The members of our group are:
Hannah Moritz
Julia Barbuto
Sarah Diomande
Tyler Richardson
Xiang Yu Zhou
The subject of our project will be the art pieces in the Philadelphia Museum of Art.

The members in our group are:
Noah Herman
Danny Crossan
Joseph Moreira
Thuy (Fiona) Ta
Katherine Murawski
The subject of our group is how the increase in tuition costs correlates to rising student financial aid.

The members of our group are Alex Cicioni, John Kumpf, Andrew Mallee, Robert McClatchy, and John Lawrence. The subject is how alcohol consumption relates to both age and location.

The members in our group are John Kumpf, Andrew Mallee, Alex Cicioni, Robert McClatchy, and John Lawrence. Our question is how alcohol consumption is related to location and age.

One lesson I learned that I couldn’t learn in the classroom or in a textbook is how to give constructive criticism effectively. At my internship I have been working closely with another intern to put together a SharePoint site for the Interactive Department. This requires a lot of trial and error with site design and adding useful web-parts. Learning how to give constructive feedback to the other interns ideas has allowed to progress smoothly so far in the site design and pick and choose which ideas will work best for the department. Also learning how to communicate my ideas effectively was another lesson I learned at my internship especially before we had access to play around with SharePoint. Being able to effectively communicate ideas with my supervisor and other intern allowed the site design to be very thorough and made it easier to start actually constructing the site once we got access to the software.

For me, I was able to apply my classroom learning and take it a step further. When you learn, you learn theory. Many professors incorporate practical lessons, but it is nearly impossible to make it very realistic. Discussing networking is different than meeting a director in the cafeteria and discussing your role with him. Learning programming is different than teaching yourself XML to input worksheets. Analyzing a business case is different than taking apart a client’s problem and coming up with a real-life, implementable solution. These are all things I experienced during my internship and, to me, the value is in taking the knowledge we already have and taking it to the next level – learning to apply it in real time.

Something that I learned and developed through my internship was working effectively collaboratively and asking others for help when needed. In the classroom setting I feel like I need to work on independent activities by myself, and often try to figure everything out on my own to learn it properly. It differs from the workplace, where most of my work was group based, as we often collaborate on various aspects of our projects. I think by establishing a good relationship with my co-workers, it made me more comfortable to ask for help and guidance on work. It is still difficult sometimes, but I think once in a while we need to swallow our pride and know when to ask someone else for help.

Something that I learned throughout my internship is that what is actually applying the skills i learned to the actual workplace. Sure you can learn how to properly read a case and break it down, but actually applying it to a real world case is completely different. I learned that being given a task about a company that hasn’t done a contract with us. I had to break down there entire company structure and see if they are compatible with our own. Also learning to write reports from MIS2501 was a skill to learn in class and apply it in the workplace. I learned to actually apply it and make it my own. I changed the format a bit but the general gist of the report was the same. Applying your skills you learned in class and actually using in the real world is a skill in itself you can’t learn in a classroom.

There are several valuable lessons that I’ve learned from my internship, but I think the most valuable skill I’ve picked up is staying open-minded. In classrooms you are taught to think the way that the book says, or the way that the teacher tells you to. For exams, you have to make sure you are focused on learning the material the way the teacher presents it to you, and if you interpret it differently it will be considered wrong. In the workforce there are numerous interpretations to each problem, and numerous ways to approach these problems. Keeping an open mind allows you to think of abstract solutions to these issues that you may not be able to think of in classrooms. I think being open-minded in the work force also allows you to pick up numerous skills like collaboration, and interactions. Overall, having the ability to be open-minded in my internship has allowed me to gain new insights into various problems, and come up with abstract solutions for these problems as well.

Something that I couldn’t learn from the classroom or from any textbook is experience. I believe that most things you learn in the classroom is important but the most important thing is to actually understanding how things are/work and applying it outside the classroom. Some people learn, take the exam, and forget. Yes you can learn a lot in school but what is it if you can’t apply it to everyday life and at work? That’s why experience is important; because that’s something that sticks with you for a long time, if not, forever.

The most important aspect that is not taught in the classroom is being able to actually apply the knowledge learned in class. Everyone who goes to school is capable of learning and retaining knowledge the way a professor presents it. However when shifting into the real life work environment its so important that you are able to apply all the knowledge in an efficient manner. At my internship i was constantly faced with different tasks that I was not prepared for by school, but being able to apply myself allowed me to handle anything as it came.

One of the lessons/skills I have learned during my internship that has been beneficial, is the ability to work off of and with other team member’s strengths and weaknesses. Clearly this cannot be learned from a book, but is acquired from working on teams and alongside the members. It has been beneficial to know how everyone operates, in order to produce the perfect result and in a timely manner. Of course, going through the college courses and reading books is beneficial, but the hands-on experience is what makes the work all come together. Another skill set that I have grown into during the internship, has been the ability to clearly communicate with others, in a precise manner. It found it import to not waste peoples time and come straight to the point. The less said, the easier it is for people to remember and understand.

I learned that you have to roll with the punches. This past week I started a new project but ran into some limitations on the current development environment. I coordinated with the administrators to get added to the new environment in the next week but set up a local environment for the interim.

Every company is different. Each has their own way of structuring, learning, and teaching their every day operations and culture. You must be able to efficiently integrate yourself into a new company’s culture. At Wawa’s headquarters, their culture is well know to be open and extremely friendly. Everyone knows everyone and their personal life. I know that is not common for bigger corporate companies. I learned to take an active interest in those around me and contribute as much as I can to make the workplace an enjoyable environment.

One of the skills that I’ve learned from working in corporate America and for the military that I haven’t learned from school is how to adapt to change. There is always new policies or new strategies that businesses want to implement. They expect us to be prepared to the change. With school I’m used to the same techniques and same strategies. It was hard for me to adapt change but now I look at change as opportunities to learn new things.

I believe that the classwork at Temple gave me a great foundation on how to be an analyst and critical thinker. I certainly feel that it was essential to have the fundamentals prior to stepping into the workforce. We have worked on case studies in both Data Analytics and Digital Innovation and Design; however, there are some road blocks in real life that you can’t solve in class. For example, I had to create an annual loss report for an insurance company and had to find a database that was used last year. After in-depth search, I just couldn’t locate it. While in class, that data would have been given to you, in real life you have to think outside of the box on how to find that information. Eventually I had to ask tech support to restore the folder where the database was located and completed the report successfully. The key take away from this example is that you should use class fundamentals as a starting point for your analysis, but never rely on it solely.

I learned a lot from my internship that I had not learned in the classroom. One of those skills included how to work with Google Webmaster to create a site structure that Google uses to skim a website. This tool also enabled me to identify if any links were broken or error were being reported from our site. Another tool was Google’s speed report for our desktop and mobile site. This tool showed us where our website was being slowed down, and provided tips on how to optimize these elements to improve the usability and speed of our website. Lastly, learning how to use Google’s keyword planner and Google trends has been the most difficult part. Both of these tools allow me to asses keywords for search engine optimization, but I had to learn on my own which keywords were best, and which were not. I was never taught how to analyze keywords based on competition, suggested bid price, and average searches, but with a little help from Lynda.com, I was able to make do.

I would say the biggest thing I learned from my internship that I couldn’t learn in a classroom is the ability to tackle assignments when deadlines change. In school, every assignment we have comes with a due date, so we can mentally prepare ourselves and map out our action plan to get the assignment done. When it comes to internship assignments you can run into projects without a set due date. Sometimes you get asked to change your priorities and focus on finishing a particular project, and other times you just have to get it done right as soon as possible. I think being flexible when it comes to these situations is a valuable attribute to have when it comes to entering the business world.

I believe that you learn most things on the job and school just gives the structure to be successful. There may be a few things such as skills learned in the Excel class and Business Communications that can be used in the workplace but most things your either have to relearn because the company does it differently than you were taught or it is purely learned based on experience. Soft skills are a large part of the training process in the workplace and the rest is mostly learned in real time or during some sort of video training that is required.

A few things that I have learned throughout my internship include refining my soft skills and obtaining information from different departments. In school, everything is generally in a centric location and you can ask a professor or search the internet for help. In the workplace, everyone is specialized and good communication skills are needed to find specific information. Another vital lesson that I have learned is to work within the strengths and weaknesses of the team. It relates to team projects within the classroom, but it is applied differently in the workplace when deadlines are changing, people are absent from work, and especially when they don’t understand the data/material being used in the project or assignment. Lastly, being able to adapt to an ever-changing environment is critical to being successful. Some of the lessons I have learned in my internship experience will easily be applied throughout my career.

You absolutely cannot learn how to negotiate in a classroom. Whether you’re negotiating for a higher salary, a proposal, a longer timeline or steeper rate on a contract – there isn’t much in a classroom that will prepare you for that real experience of sitting down at a table with a prospective client or a client you hope to retain. The only thing that helps you to be better at speaking to your knowledge and experience with confidence and poise is practice.

Something that I learned during my internship that I could not have learned in the classroom is how to transition from one director to another mid way through a project. All of the data that I was responsible for throughout the course of my internship was very large and required a great deal of attention. Mid way through my internship the woman that I had been working directly under left on maternity leave and I was forced to learn how to work under a completely new person while still maintaining all of the student data and meeting deadlines. This was hard for me because I didn’t necessarily have the time to feel out the waters and get to know my new supervisor but instead just had to make it work. I think this is a skill that is really important to perfect because I would like to go into consulting where you are dealing with new people randomly all the time throughout the course of your project and it is incredibly important that you don’t let this effect your work.

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.

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.

How Much Traffic Does Your Blog Need To Make $100,000 A Year?

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.

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.

The Gold of Big Data Analytics: Process Mining and 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.

Government Use of Big Data for 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.

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.

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.

Italy Q4 budget deficit 2.3 pct of GDP, stable vs same period last year -ISTAT

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.

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.

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.

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://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.

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.