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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 9 months ago
Here are the instructions (in Word) (and as a PDF). Make sure you read them carefully! This is an assignment that should be done individually.
And here is the data file you’ll need: VandelayOrders(Jan).xlsx.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 9 months ago
Some quick instructions:
You must complete the quiz by the start of class on October 17.
When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign […] -
Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 9 months ago
Some quick instructions:
You must complete the quiz by the start of class on October 17.
When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign […] -
Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 9 months ago
Here is the exercise.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 9 months ago
Here is the exercise.
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Laurel Miller wrote a new post on the site INDUSTRY EXPERIENCE IN MIS-FALL 2017 6 years, 9 months ago
It’s hard to balance your schoolwork and your internship. Tell us how you are handling it and what tips you have for keeping it all together.
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Although my internship was during the summer, I am also working during the school year. I am an ITA for Carey O’Donnell’s MIS 2101 course. Along with this teaching assistant position and my classwork, I am currently looking for an internship. The things I focus on most when trying to balance all of this are routines and organization. Having a weekly routine with classes, office hours and internship searching helps me manage all that I have on my plate. Since I only have classes Tuesday and Thursday, I dedicate a few hours Friday to searching for internships. I also keep my planner up to date with all of my assignments, office hours, and interview dates in it. This helps me know what to work on. Each day I look in and see what is due, what is upcoming, and anything else that I might have forgotten about. Keeping a planner is the best suggestion I can make to someone trying to handle many things at once.
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For me I have been working since my freshman year of college, so this is normal at this point. What has always worked best for me is having an organized list of when all my assignments are due and constantly updating that and using that throughout the semester. I almost never have internship work to do at home so it works well just worrying about school at nights and the days I am at school. I think working has really helped me not be lazy and not push assignments off too much because really every hour is so precious I cannot afford to slack off too much.
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Since my internship was in the summer, I was luckily able to give my complete focus on my job rather than attempting to balance an internship and college course load. However, I have held a job at Temple for the past 5 semesters so I have learned what it takes to balance work and school. While I’ve learned it can be tricky at times, the biggest takeaway I found to be successful is that you need to be organized. On a daily basis, I am constantly checking and updating my student handbook to remind myself of upcoming deadlines and events I need to attend. Another similar practice I found to be beneficial is to develop and stick to a schedule. Developing a uniform routine between sleep, class, studying, and other extracurricular activities helps you stay organized and on top of everyday things.
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I had my internship over the summer and didn’t have any other classes then, but I due hold a part-time job during the school year. I work for the graduate admissions for Fox and find that creating a schedule and checklists for myself helps me stay on track. I like to set time after work to update my schedule so I know exactly what I have to do for the week, and any major assignments or tests in the coming weeks. It is challenging at times staying on top of things, but the schedule works as a guide to help balance school and work.
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My internship took place during the summer, so it was not too consuming. I worked full time at my internship and it was definitely a different experience. I was the only one out of my friends who had an internship, so it was unfortunate to miss out on a few things that took place during regular work hours. I also noticed the lack of time compared to the school year when you factor in commute and time at the gym. It always felt like it was almost time to get to bed and do it all over. It was a nice experience to have because it showed what it was like to be an average person who works at an office five days a week.
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Hello everyone, sorry for the late response.
My internship took place during the summer, so I had no stress of school work on top of the internship. However, I am working part time for a company right now and am managing my time well to complete my school work and my work from the part time internship. I had to cut time in my hobbies such as going to the gym and meeting up with friends due to the new busy schedule. Also I have noticed that cutting my sleep time is not a good way to manage all the work. In the beginning of the semester it was hard to manage everything but, now I am managing to finish everything with high quality.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 9 months ago
Here is the assignment. It is due by midnight on October 31. Start early!
Want extra credit? Enter your deliverable in the Temple Analytics Challenge! You don’t need to do anything more to the assig […]
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 9 months ago
Here is the assignment. It is due by midnight on October 31. Start early!
Want extra credit? Enter your deliverable in the Temple Analytics Challenge! You don’t need to do anything more to the assig […]
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
Leave your response as a comment on this post by the beginning of class on October 12. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your o […]
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This article is about a day in the life of a London uber driver. Recently, London has placed a ban on uber partly because of their failure to report sexual assaults to the police. The article provides maps and graphs that show the route of an uber driver post-ban. It also shows how the ban has affected this uber driver’s usual income. I am studying abroad in London next year, so I find it interesting that uber might not be the best transportation option for me to use. I will have to look into London’s public transportation system and alternate transportation options if need be.
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http://www.zdnet.com/article/microsoft-opens-up-testing-of-azure-data-box-its-amazon-snowball-rival/
This article is highlighting Microsoft’s direct competitor to Amazon’s snowball, the Azure Data Box. The Azure Data box is a 45 pound tamper resistant and manageable data source which safely and more efficiently move data to Azure. With Amazon already having a product, and Google coming out with a similar product, Microsoft wanted to truly penetrate the market until their were too many competitors to be successful in the market. The best thing about this device is that it provides more efficient data transfer, while providing more transparency throughout the company, increasing efficiency. -
This article discusses the recent hack of the personal information of 143 million user of Equifax. The hack has already caused for the resignations of three high-level employees. The most intriguing part of the article is that the Equifax auditor has avoided scrutiny even though he is a large part of the breach. The part of this article that is relevant to me is that as of right now I am still deciding a major. One of the majors I am very interested with is risk management, and an auditor is bred from the risk management field.
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https://projects.fivethirtyeight.com/clinton-trump-hip-hop-lyrics/
This article from FiveThirtyEight discusses the changing attitude towards President Trump’s name being used in rap songs, supported by numerous infographics. The authors obtained data from the lyrics website, Genius, to analyze the trend of the 2016 presidential candidates names being dropped in rap songs, and whether the mentions were positive, negative, or neutral. The graphs show that although Trump’s name has increased in being mentioned since the election, the context of the lyrics are negative, rather than positive. I found this very interesting, because it shows how media can reflect the views of a group of people, without being explicitly political. -
This is article is interesting to me because it talks about how to use past data to predicted the future. This has always been something I have been interested in being that it means so much to a business. Furthermore, I see predictive analytics as the future of companies and the way they compete.
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http://newsok.com/how-hollister-came-back-from-the-dead/article/5564648
Between the years the 2012 and 2016, sales for the once popular teenage retail store, Hollister, saw a major decline in their sales as foot traffic in malls decreased and their beach presentation was just not enough. Using various business techniques such as lower pricing of popular items such as jeans, increasing interaction between the employee and the customer, marketing, and renovating their stores, helped Hollister’s sales increase within the past year. I found this article to be interesting to me because I’ve been working with the company for several of years and I also shopped there as a teen, so I have witnessed how the brand has changed and evolved in real time over the years.
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https://fivethirtyeight.com/features/what-the-world-thinks-of-trump/
Reading this article reminds me of one of Obama’s speeches back in 2016, regarding Donald Trump as the next US President. Obama states that Trump do not have the ability and the skills to govern a nation. Reading this article, it shows that other countries view US and Donald Trump with disapproving look. Ever since President Trump took office the favorability towards US have gone down tremendously.
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http://www.law.com/sites/almstaff/2017/10/05/why-law-these-students-show-you-benefits-of-a-jd/?slreturn=20170909173841
i found this article very interested since I plan on going to law school and becoming a prosecutor in the future. Sometimes I have my doubts considering the fact I will be going to school for years and that I will be in debt with school loans for a long time. So, once I came upon this article, I realized that it will definitely be worth the wait and money. Law School Admission Test rose 20 percent in June and about 12 percent in September. A survey was taken to see what their reasoning was to wanting to become a lawyer, and numerous of people were motivated to make better changes in our society. Soon, I will also be making better changes to our society and helping victims who need support and someone to fight for them in near future. -
https://www.forbes.com/sites/jeffkauflin/2017/09/15/the-most-meaningful-college-majors-2017/#684178985b67
This article talks about some of the most meaningful majors to chose from in college. I enjoyed this article because I have just recently changed my major and it is hard doing so when you don’t really know what you want to do or if you’re going to get a good job when you graduate. This article maps out some of the popular and most meaningful majors and gives you an insight into what some options are. -
https://www.forbes.com/sites/hayleycuccinello/2017/10/05/the-worlds-highest-paid-radio-hosts-2017/#26cbd5b51fbc
Forbes recently announced the list of the world’s highest-paid radio hosts. I did not realize the many factors that go into how they make so much money. For example, Howard Stern has a contract with SiriusXM, but Ryan Seacrest hosts a variety of TV and radio shows. Many radio hosts also saw a significant spike or drop in their ratings post-election. By taking a stance on certain political platforms, the hosts can really hep or hurt themselves. I found this interesting because I am a fan of radio and podcasts, but had no idea how much money these people really earn. -
https://fivethirtyeight.com/features/the-worst-loss-in-the-history-of-u-s-mens-soccer/
This article discusses just how heartbreaking the loss of the U.S men’s soccer team is. I always enjoy watching that team play, even when there isn’t a world cup just around the corner. This article breaks down the stats of some of the teams worst losses in history, and this one really ranks up there. It actually is considered their worst loss in qualifying game history. It also breaks down the probability of this team winning the qualifying game, and also surveyed a ton of people on whether they believed the U.S would win this game. The results are incredible.
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https://www.databreachtoday.com/following-disqus-breach-expert-discloses-more-old-breaches-a-10366
The article talks about an old breach from a website called “Disqus” which is a worldwide blog comment hosting service for web sites and online communities. The breach happen in 2012 and whoever breached the data got information on 17.5 million users that goes all the way back to 2007. Disqus took care of this by resetting passwords for all users. This breach makes me think about how many other breaches companies did not find yet and will surface later. It makes me more worried about putting my information online since companies do not find all the breaches. -
http://money.cnn.com/2017/10/05/technology/facebook-data-center-virginia/index.html
This article is about how Facebook is setting up a data center in Henrico County, near Richmond, Virginia. Facebook wants to invest money in the state and while creating over 100 new jobs. I found this interesting because I’m from Virginia and I like to see that even big companies like Facebook want to focus some of their time there. And by doing this Virginia will be advancing in more complex technology and will help expand useful data all over the state. -
https://www.reuters.com/article/us-spain-politics-catalonia-puigdemont/catalonia-will-apply-referendum-law-calling-for-independence-declaration-leader-idUSKBN1CD0TS
I find this article interesting because it deals with the on-going Catalan referendum in Spain. Although data is mentioned briefly, the article says that the Catalan government claims 90% of Catalans voted in favor of independence from Spain. Madrid discovered, however, that the voter turnout was only 43% of the population. This situation gives insight on how political leaders warp data in their favor, a phenomenon, I have noticed, that has been increasingly present in recent years. -
http://news.gold-eagle.com/article/gold-prices-week-and-next-weeks-forecast/784
I found this article and the data within it to be very useful and applicable to real life. The charts within the article are very informative and show patterns that occur within the market for gold. Additionally, it shows how the price fluctuations in gold reflect the overall feelings and emotions of investors in the markets. Also, the prices can reflect world affairs and overall confidence. -
https://fivethirtyeight.com/features/what-does-a-typical-sexual-harasser-look-like-we-dont-know/
This article is about how we can’t really identify what a sexual harasser would look like due to lack of data on sexual harassment. As most may know, most sexual harassment cases do not get reported. Amy Blackstone, a professor of sociology stated, “We’re limited in the data and information that’s available about perpetrators. That makes it more difficult to name and explain patterns of sexual harassment, because we’re missing information about who instigates this behavior and why”. I found this article interesting and sad because we should all be aware of this issue but instead we are completely unsure because cases unreported (or missing data).
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This article was interesting because it says that nearly a quarter of companies world wide are hiring CDO’s, chief data officers. These people are hired specifically to make sure the data they are producing is reliable and accurate. It talks about how these people strategize what the best course of action to present the data is. I feel that this article really shows how technologically advanced we are becoming and how important data really is. -
https://fivethirtyeight.com/features/each-nl-playoff-teams-biggest-strength-and-weakness/
This article discusses the National League teams in the MLB playoffs, and compares each team’s strengths and weaknesses. More specifically it compares their batting vs. fielding, and starting pitchers vs. relief pitchers. It uses a statistic known as WAR (wins above replacement) to rate an individual player, and in turn, a specific team’s overall “rating.” This lead the article to compare the teams to each other, and predict a World Series winner. -
This article is about the Equifax hack. It states that UK customers’ info was reached in far greater numbers than previously thought. Nearly 700,000 users were/ are affected. The reason why this article is so interesting, is because of the vast amount of data that has been put in peril as a result of the hacks. 143 million social security numbers were casualties of the breach, as well as other data associated with individuals. On top of this, far more brits are now at risk as well.
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https://www.wsj.com/articles/six-reasons-why-china-matters-1507742854
Title: six reasons why china matters
This article provides 6 reasons why China is important in global economy and it explains each reason using adequate data. First, it shows the graph showing nonfinancial debt at a percentage of GDP and second it shows bar graph about the price of imports from China. For the last data, it shows a bar graph about the number of private vehicles in China.This data is important to me because I’m so interested in Chinese market. This is the reason why I’m learning Chinese and participating a lot of activities related to China. I was sure about the fact that China will provide me a lot of opportunities as a business professional and this article provides me enough clues.
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https://www.databreachtoday.com/how-significant-was-breach-6000-indian-enterprises-a-10367
This article focuses on the 6000 breaches in Indian Enterprises. While thousands of Enterprises information was discovered and sold, they are downplaying the incident and people are asking for answers. one enterprise IRINN down plays the breach mentioning it will do no significant damage because the information stolen had no importance. whereas another enterprise NIXI says they have strengthened there protocol to keep data safe to prevent more breaches in the near future.
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https://fivethirtyeight.com/features/how-do-americans-feel-about-the-nfl-protests-it-depends-on-how-you-ask/
This article discusses the importance of considering how a data set is collected before drawing any sort of conclusions. Evidently when asked about the appropriateness of NFL protests the majority seem to be in favor, however spin the question as if they are “right” or “wrong” and suddenly the group becomes much more split down the middle. It is important to consider the possible biases that can occur from either the place data is source and if your questions are leading at all. The best type of questions for collecting data are often the most objective, although it can be hard to determine what an objective way of asking the question would be for most of America. -
This article discusses about “Reviving the Data-Centric Areas of Houston and Florida”. With all of the hurricanes occurring in Houston and Florida, we are focused on rebuilding houses and businesses. However, what about data centers in affected areas, such as the Johnson Space Center? Across the “Space Coast”, there is a huge opportunity to upgrade data centers that have been effective, making them first class. By improving these data centers, it will allow for the advancement of our understanding of different forms of data, advancing us as a nation and a civilization. -
https://www.accountingtoday.com/news/data-science-the-next-evolution-for-accountants
This article discusses how the development and eventual use of AI will cause major shifts in how companies process and report information, especially with accountants. As an accounting major, this idea of AI replacing human accountants is always at the back of my mind. Luckily, AI lacks something that all humans possess: judgment. Its that judgment that will need data science skills and accountants will want to make sure that they’re ready and able to leverage the opportunities that artificial intelligence, cognitive computing, and machine learning offer.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
Leave your response as a comment on this post by the beginning of class on October 12. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your o […]
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https://fivethirtyeight.com/features/lebron-and-the-cavs-could-make-dwyane-wade-young-again/
Dwayne Wade signing with the Cleveland Cavaliers is just one offseason move that has set the sports world abuzz. This article focuses on the signing and how Dwayne Wade may be able to turn back the hands of time. The article interestingly uses a bar graph and a text table to illustrate how effective Dwayne Wade can be on the Cavaliers’ roster. -
https://news.yale.edu/2017/09/27/study-reveals-high-costs-college-and-high-school-contact-sports
This article is a study done comparing injuries of football to other sports in NCAA and High School. Its primary injury of concern was dealing with concussions from football and the rate of concussions in NCAA/High School versus sports of non-contact. I found it to be quite interesting mainly because they mentioned all the statistics that they gathered, but also mentioned that many schools and universities are reluctant in giving exact injury diagnostics, meaning while the numbers they had in the article were surprising, it leads me to think just how high would the numbers be if they could have got every diagnostic from all the schools with exact precision.
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This article illustrates graphs and statistics that show the trend of more females making more than their male spouses. There is a graph that shows a comparison of the amount of women who made more in 1970 compared to 2015. In 1970, only 7% of women made more than their spouse. In 2015, 24% of women make more than their spouse. The article goes on to show the trend of females and males that stay at home. -
https://www.theguardian.com/lifeandstyle/2017/sep/24/why-lack-of-sleep-health-worst-enemy-matthew-walker-why-we-sleep
This article discusses the latest findings in sleep habits and the negative effects that come from a lack of sleep. One piece of data that particularly stuck out to me was that, “An adult sleeping only 6.75 hours a night would be predicted to live only to their early 60s without medical intervention.” I found all of the information in this article to be relevant to myself because during the week I don’t get as much sleep as needed, which I now realize is negatively affecting me. I feel that most college students can relate to this article as well, and should read it so they can put aside enough time at night to get a good amount of sleep. -
I chose this article because I like to watch Netflix during my free time. According to the article, “Netflix considers data visualization to be of paramount importance” and this relates to class because we discussed how data visualizations help effectively show data to consumers. For Netflix, they think that data visualizations help their company seem more appealing and organized to customers.
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http://www.bbc.com/news/business-41493494
In an investigation about Yahoo’s data breech from 2013, it has recently increased the number of accounts hacked to be over 3 million.The stolen data did not include passwords in clear text, payment card or bank account data. Because of this breech, Yahoo sold its main internet business to Verizon for $4.8 billion. Yahoo is now working with law enforcement to increase its security. This is relevant to me because I have Yahoo mail and I never knew there was a breech. It has made me realize that all my emails from since I had Yahoo may not be private anymore. It hackers could of hacked into my passwords and credit card information.
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This article discusses how Big Data could help prevent fatal heart attacks in the future. They predict in the future large smartphone manufacturers including Samsung and Apple will begin adding sensors including blood pressure, heart rate, and stroke volume sensors. Sensors within smartphones would allow people to become aware of a cardiovascular disease without having to travel to the doctors for a check-up, increasing the awareness and lowering the time to diagnosis. Companies like IBM an Optum are already working to increase the predictive power for stroke and heart attacks. Remote cardiac monitoring would allow citizens to easily monitor their health and seek a doctor immediately if any issues arise.
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https://www.signs.com/branded-in-memory/
This article studies how well people can remember major brand logos, down to color and famous symbols. They gathered 156 Americans ranging in age from 20 to 70 to take part in this drawing experiment, where they had to sketch 10 iconic logos (Starbucks, Target, Walmart, Dominos, Adidas, Footlocker, Burger King, Ikea, 7-11, Apple). They found that everyone had the same level of confidence when asked to draw from memory, however younger audiences were more accurate. With brands updating their logos throughout the years it makes sense why younger audiences were more accurate in their drawings. Being an advertising major, this study stood out to me because it shows how impactful brand logos are to consumers. -
This article basically shows the divorce rates for different groups of people. It shows the rates for unemployed, employed, not in labor force, various education levels and various origins and races. It is interesting to see within the data that females, pretty much in every category, have a higher number. In different categories the percentage showing divorce or remarried more than once is only slightly greater than male but it is still significant. It would be interesting to find out the reasons why that is.
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https://projects.fivethirtyeight.com/2017-college-football-predictions/
This article depicts information on the 2017 college football teams season outcomes. It ranks the teams in order from the lowest possibility of winning the playoffs to listing out the top 4 competitors of the season. The dataset includes information on a teams losses and wins, the chance they will win their conference, the odds they will make playoffs and the likelihood they win a national title. It even shows a forecast of whether or not they will win their next game. I like this because I love football and it’s interesting to see how specific teams are doing in comparison to all the other teams. -
https://fivethirtyeight.com/features/world-cup-anxiety-reaches-its-boiling-point-for-the-usmnt/
My passion is in soccer and one of the promising young talent is Christian Pulisic. He is a 19-year-old that shine among top soccer players. Also, at only 19 he is capable to bring USA to the 2018 World Cup in Russia. What I found interesting about the article is that the style that Pulisic plays in the match is different when he plays in the US compared to when playing abroad. The data also shows that he is very effective when playing in his home. Pulisic can use this collected information to improve his gameplay and eventually win the World Cup for the US.
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https://www.theguardian.com/technology/2017/oct/08/trump-digital-director-brad-parscale-facebook-advertising
My major is political science, so any articles about elections or the presidency automatically interest me. This article explains one way Trump gained support on the campaign trail: Facebook. Facebook gave the Trump campaign open data lists of registered voters, and allowed them to find them on Facebook. The also could make specific ads for people in certain areas, by using open data sources that showed what those voters cared about. Trump’s digital director said they tested 50,000 to 60,000 ads a day on Facebook. -
This article explains how well racial quotas have worked around the world. Racial quotas in the US are illegal, although many people argue that they are still around. The article starts off by explaining how there has been racial inequalities in football by stating how there used to be only 2 minority head coaches before the Rooney Rule, which requires all NFL teams to interview at least 1 minority for a head coach position and other management roles. The data they found, is that they have noticed that racial quotas have been found successful and helpful around the world by using face as a factor in enrollment and recruitment, to make sports more equal.
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https://fivethirtyeight.com/features/how-do-americans-feel-about-the-nfl-protests-it-depends-on-how-you-ask/
This is an interested article to me because it shows how our elected officials feel about NFL players kneeling during the national anthem. President Trump tweeted that players should be fired if they did not stand for the anthem, and now Vice President Pence left after players kneeled during the anthem. It analyzes 3 concerns of kneeling during the anthem, Patriotism, free speech, and race. This article is interesting to me because it greatly summarizes the battle between people who are for, and against NFL players kneeling during the national anthem. -
https://lifehacker.com/every-hot-dog-in-major-league-baseball-ranked-1819249617
This article is similar to the study that was done to find the country’s best burrito but instead of burrito it was best hot dog and best beer at a Major League Baseball stadium. It also shows the top five stadiums overall and ranks the Orioles stadium as the best. This surprised as I have been there and it didn’t blow me away. I did find it interesting that there was enough data to rank every stadium on those specific menu items. -
https://fivethirtyeight.com/features/the-virginia-governors-race-is-not-a-good-political-barometer/
This article i found to be very interesting because it is very relevant with politics today. Virginia is known as a key swing state, and my first instinct is who gets elected can be very telling for upcoming presidential elections. However the article than talks about how a state election could not be telling at all with a national mood. The article ends by telling something very telling, that the Virginia race matters especially in redistricting process, but not necessarily, as they put it, a crystal ball.
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An article I found interesting was Kobe steel company lying about the data of the quality of the parts they have been selling. They did this so that the consumers believe that the steel quality they are purchasing is high quality. Although this helps sales short term it actually affects their company long term because consumers will not trust them and if this causes any deaths there will be major law suits. -
The article I read was very interesting to me. It was about a study that was done, concluding that innovation is a science. The study followed this company who implemented a program for employees to express ideas and innovation within the company. The program was like Facebook, whereas employees would post ideas and other members could like and comment, then top members of the company could decide whether to use the ideas. The program identified variables that are necessary and prove to drive innovation. With more participants, more ideas, more people evaluating each other’s ideas and more kinds of people contributing, innovation is almost guaranteed.
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http://www.giants.com/news-and-blogs/article-1/Giants-fall-to-Eagles-Postgame-News-and-Stats/f0942c93-e1b2-4e19-b75c-5ef588527a4c
The following link is to the New York Giant’s website. The article talks about the Eagles victory over the Giants this past Sunday. The article has statistics from the game as well as information already accumulated from the data that was analyzed after the game. It uses both data and information in the article. -
https://fivethirtyeight.com/features/does-the-media-cover-trump-too-much-too-harshly-too-narrowly/
With such a unique president there has been much media coverage about many of his decisions and even just his tweets. This article explores whether the media has become trump-focused and neglected other prominent world news. The author utilizes a slew of different data visualizations for the reader, all of which pertain to different aspects of media coverage involving Trump. The most interesting part of this article for me is the data visualization just a bit over the halfway mark which-if I am understanding it correctly- shows that right leaning outlets seem to avoid condoning or condemning Trump’s actions while the left is readily disapproving of said actions, which means that maybe even the right is not agreeing with what our Republican president is doing. -
This Article contains a chart that shows the most common male and female occupations since 1950. The most female job is a kindergarden teacher, and the most common male job is a carpenter. On the chart, the farther left are more male dominant jobs, and the further right are more female dominant jobs. What I find interesting is the data visualization itself. It is extremely organized, does a good job of using its colors, and even shows which jobs are more common (size of the circles).
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https://fivethirtyeight.com/features/college-professors-arent-killing-religion/
Due to some comments made by the President’s son at an Alabama university, the conversation of whether or not college professors discourage religious beliefs has come up once again. The data in this article highly suggests that many people, especially Millennials, make the decision to abandon their religion before the age of 18, meaning that college has little effect on their beliefs since they most likely aren’t attending college at that age. This is really interesting because the data compares the ages that older and younger generations left their religion. Despite the large age difference of people surveyed, mostly everyone under the age of 65 said that they abandoned their religion before 18, even despite the fact that almost 15% more of Baby Boomers attended church regularly growing up compared to Millennials. This all implies that college has little to do with the equation.
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https://fivethirtyeight.com/features/the-worst-loss-in-the-history-of-u-s-mens-soccer/
This article contains information about the United States not being in the next world cup. First time in 24 years that the USA will not being in the world cup. Many fans are disappointed that the US didn’t even qualify. It its the worst USMNT loss in history. The website gives a data sheet of all the worst losses of the USMNT. This data shows that the US has been very inconsistent throughout the years. Think this displays good graphs and charts to get the main point across.
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https://fivethirtyeight.com/features/the-worst-loss-in-the-history-of-u-s-mens-soccer/
This article is about the US soccer team failing to make the 2018 World Cup. This is the first time in 24 years that the team has failed to make the World Cup, and it comes as a huge shock and disappoint to many considering the abundance of resources that the US has access to. This website gives stats and data on some of the worst USMNT and the most recent one was arguably the worst one ever. It also gives a graph about how inconsistent the USMNT has been.
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http://www.sprc.org/sites/default/files/migrate/library/SuicideAmongCollegeStudentsInUS.pdf
This data set published by Suicide Prevention Resource Center shows data about suicide amount college and university students in the United States. After the most recent suicide at the University of Pennsylvania, I wanted to take a deeper look at this data. There have been three suicides at UPenn this semester, and one of them hits very close to home. One of my best friends from high schools brother was one of these three kids and it sickens me to hear that there have been three different suicide cases this semester. Although this data is about 5 years outdated, I can only imagine that the numbers have increased.
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Inequality index: where are the world’s most unequal countries?
https://www.theguardian.com/inequality/datablog/2017/apr/26/inequality-index-where-are-the-worlds-most-unequal-countriesThe topic is fascinating, the article is talking about from wealth distribution to the World Happiness Report – and which countries rate best and worst under each. And according to the article, wealth alone doesn’t bring happiness. BTW, they do have some useful chart inside.
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This article talks about pretty big hack at Equifax. About 700,000 UK customers had their information stolen. I thought it was pretty interesting because it goes to show how we still do not have a good hold on cyber security. This is one of the big concerns right now with these companies storing all this big data. They do not have a good way to keep it safe.
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This article is about MLB starters getting hit around and pulled out the game earlier than expected this postseason. Usually come playoff time the games tend to slow down and pitchers control the games, but this season it has been backwards. Though its not surprising given that HRs are being hit at a higher rate this year than ever before which caused “juiced ball” conversations all season. Data in the article compares how pitchers are facing less batters than expected the first few innings of the game leading to teams getting relievers earlier in the games.
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https://www.bloomberg.com/news/articles/2017-10-11/bitcoin-re-taking-place-as-crypto-king-as-smaller-tokens-slide
Despite the absurd comment that Jamie Dimon (CEO of JPMorgan chase) made a few weeks ago about Bitcoin being a fraud, this article addresses how Bitcoin is close to hitting a new record high in its price. The article states that Bitcoin is nearing $5,000 and discusses other trends like how Goldman Sachs is trying to help customers buy cryptocurrencies. This article was interesting because Bitcoin is still gaining momentum despite criticisms and regulations (ex: china) and this illustrates how people still believe in the concept of blockchain technology. -
https://www.bloomberg.com/view/articles/2017-09-19/facebook-doesn-t-know-what-german-voters-think
In a new technology age, social media engagement was more predictive in the United States election than traditional polls, and Facebook targeting had become the root of a private investigation into out election hack. While this is known, it doesn’t seem to be true all around the world, less so in Europe. I’ve read before that Europeans spend a considerable less amount of time on social media than Americans, so the claim that social engagement will not predict the outcome isn’t all that surprising.
The most interesting part of this article is taking it a step further, understanding that the extent in which social media is used among a culture could expose that nation to more political risky (2016 elections) and it could manipulate policy conversation. While social media data can be analyzed and interpreted how much of that data is used to tell a false story, and how much of that false story is warping the perception to the general public?
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https://fivethirtyeight.com/features/college-professors-arent-killing-religion/
This article talks about the correlation between people who no longer identify with their childhood religion, and whether or not college education had any effect on that choice. The article states that “Colleges and universities have long been accused of subverting the religious commitments of their students”(Cox). I found this interesting because I have always known that stereotype of college campuses existed, but I have never seen any actual data on the claims. The data from the article shows that majority of those who turned from their childhood religion are between the ages of 18 and 29 yet the professors are not to blame.
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This is a pretty cool chart! It is an occupation matchmaker, showing who marries whom based on what that person does for a living. Most people end up with someone who has a similar or relative lifestyle. I typed my major into the box, which is Marketing, and I am most likely to marry an agent or a business manager. The bigger the bubble, the more likely I am to marry someone in that field. If there is no bubble next to that occupation, there is probably little to no chance I will be marrying someone in that field.
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https://thenextweb.com/insights/2017/10/11/this-startup-lets-you-monetize-on-your-genetic-data/
Blockchain technology is allowing people to monetize their genetic data. With blockchain technology, information can be stored securely and be monetized by consumers through a decentralized system called Zenome. First, Zenome provides a peer to peer system able to house huge amounts of genetic data. Second, blockchain technology would provide access for scientific research to millions of human genomes which are otherwise restricted due to privacy concerns. Last, the platform would allow consumers to share this data and monetize it by allowing payments through a distributed ledger.
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https://fivethirtyeight.com/features/the-media-really-has-neglected-puerto-rico/
This article is very interesting because it discusses how much the media has neglected to talk about Hurricane Maria in Puerto Rico. Looking at the graph to see how often Hurricane Maria and Puerto Rico was mentioned on the news vs Hurricane Harvey and Texas or Hurricane Irma and Florida. It makes you wonder why it wasn’t mentioned even though the hurricane took a devastating toll on Puerto Rico. Even though it’s only a U.S. territory families there have suffered just as much in families in Texas or Florida. -
http://www.bbc.com/news/technology-41417928
I found this article really interesting because it talks about the new features that amazon put in their new Echo smart speakers. Technology in today’s life is going crazy, just a week ago google also released their new home speaker which has the google assistant. I believe that in less than five years, we would be talking with devices more than humans. -
http://www.bbc.com/news/world-australia-41590614
This is interesting to me because it highlights the growing threat of hacking/stealing data. Countries such as Australia are at risk to cyber attacks that could potential cause massive harm to the nation in this case their jet data was stolen in an extensive hack that where around 30 GB of data was stolen. I believe laws and government operations need to catch up to modern era to stop cyber crime. -
This article discusses Twitter’s new data business product where software developers can now pay a monthly fee that allows them to have access to the plethora of information on Twitter. The information dates all the way back to the first ever tweet, which was made by co-founder Jack Dorsey in 2006.
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https://blockgeeks.com/guides/what-is-cryptocurrency/
I’m a big advocate of letting your money make you more money so I’ve been getting into stocks, and this fairly new concept called cryptocurrency, or online non tangible forms of currency. Cryptocurrency isn’t the same thing as regular stocks though because regular stocks move up and down based on a company’s value, dependent on how the company does financially. Cryptocurrencies are also different because they jump more in percentage in a shorter time than regular stocks. . I think this is interesting because this is something creating buzz for itself that promotes financial freedom from banks, and it’s a riveting way to make profit, given that you make the right investments.
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This article discusses a new method of payment for supply chain management transactions. IBM and Microsoft formed a collaboration with GS1, a global business communications standards organization. They formed a Blockchain network that will allow supply chain clients to develop better relationships with suppliers. This will enhance data integrity and also post all completed transactions. This was done to protect human manipulation and keep all data honest.
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https://fivethirtyeight.com/features/the-gops-corporate-tax-cut-may-not-be-as-big-as-it-looks/
This article evaluates the current GOP tax plan and its greater implications. Using data currently available on corporate tax rates vs. what corporations actually pay in taxes, FiveThirtyEight takes a look at how much of a benefit would truly be realized by certain industries by the tax cut based on their current effective rates. The article ultimately comes to the conclusion that this tax-cut is mostly only in name, and may not have nearly as large of an effect on corporate tax revenues or economic growth rates as is anticipated.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
Here is the study guide for the first midterm exam.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
Here is the study guide for the first midterm exam.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
Here is the exercise.
And here is the graphic file you’ll need: Philadelphia Area Obesity Rates.png.
Right-click on the file and save it to your computer.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
Here is the exercise.
And here is the graphic file you’ll need: Philadelphia Area Obesity Rates.png.
Right-click on the file and save it to your computer.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
Some quick instructions:
You must complete the quiz by the start of class on October 10.
When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign in. […] -
Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
Some quick instructions:
You must complete the quiz by the start of class on October 10.
When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign in. […] -
Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
Here is the exercise.
Before you start, save this Tableau file and the studentloans2013 Excel workbook to your computer. Remember, to save the file right-click on the link and choose “Save As…” (don’ […]
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
Here is the exercise.
Before you start, save this Tableau file and the studentloans2013 Excel workbook to your computer. Remember, to save the file right-click on the link and choose “Save As…” (don’ […]
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Laurel Miller wrote a new post on the site INDUSTRY EXPERIENCE IN MIS-FALL 2017 6 years, 10 months ago
What are the most important skills (business/technical) and people that you have discovered in your internship? Is there a skill that you didn’t have before but realize that you absolutely need? Is there a per […]
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One of the most relevant skills I learned at my internship was being open to conversation with the other employees. The places I worked at before generally were smaller or had less of a friendly environment. I had only worked at retail environments, and it did not really matter if you were good friends with everyone. I think that is different in an office environment. You are in there with little contact of the outside world. I really needed to get to know who I was working with, because I would go to them for advice about my projects or just general chit-chat. The HR rep is definitely somebody I want on my side. She would sometimes take me out to lunch and helped me out with this class. The IT department is also helpful because they would help me troubleshoot the problems I would come across and didn’t know how to fix. I didn’t realize how much I would use excel in this internship. I knew a lot about the program, but there was plenty of things for me to learn about it.
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The most important skills I developed over the summer were project management experience and the importance of communication. I worked with stakeholders, SMEs, and developers in a summer long project and was able to develop PM skills. I was able to plan the project accordingly and meet requirements set by the stakeholders, then work with developers to get the project finished. Some of the developers of the data quality tool I used were based in India, so communication was hard at first. I quickly learned to be specific in questions and requests, and that compromise was necessary when setting up Skype meetings. One person I learned was important to know and have on my side was my manager’s boss. He was the direct of BI at BD and he was always able to give me advice and guide me to be successful. He had the authority to get the necessary things done for my project, so he was a big help.
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One important skill I learned throughout my internship was communicating with all the employees. I worked at a start up and so the company was not big. There were about 30 people at the company. Throughout my experience as a software developer intern I have learned to communicate and learn from each other some of the more technical skills. I had the chance to talk to people that use different coding languages and learn why some coding language is better in different projects. I have been introduced to many coding languages I have never used.
Generally keeping a good reputation allows you to have everyone on your side. -
I think the most important skill that I have developed since the start of my internship is being able to analyze an assignment and figure out what I need to do and what I need to know. In the beginning of my internship, I would listen to the instructions or what my assignment was and take notes. After that I would go back to my desk and begin working, but often times I would have questions or need additional information. After the first couple of weeks I learned how to evaluate an assignment and quickly figure out what was required of me, how it had to be done, and any additional information I needed. From then on, I was able to ask a few questions or get clarification on the assignment and then complete it much more efficiently.
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While it may seem obvious, the most important skills I learned this summer were how to effectively communicate in the workplace and make beneficial relationships. The main reason I say that is because it can make your job so much easier on you. For instance, I did a lot of work with Tableau and SQL this summer and while I would consider myself proficient in both, I was far from an expert. That being said, I knew it would be wise for me to find a colleague that is knows these technologies very well and it turned out to be extremely beneficial. Developing this relationship taught me so much, and I built such a strong friendship that we still communicate regularly.
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I think having experience in SQL in necessary for most technical jobs. I did not need to be an expert with SQL queries during my internship, but having basic knowledge was very beneficial. I think most companies utilize SQL so I want to learn more. Another necessary skill is being able to ask the right questions. In the beginning of the internship i was more timid and did not ask enough questions. I learned very quickly that this did not help me and asked more questions. This benefitted all aspects of my work. A person besides my boss that were crucial to my internship was a manager from a different department. She had worked on both the technology and business side, not only was she able to answer my questions she gave me career advice. By the end of the summer she became a mentor to me and I could not imagine my internship without her help.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
Leave your response as a comment on this post by the beginning of class on September 28. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your op […]
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To me, I think that viewing data diversely is one of the most important points of the 8 Core Principles. Many times, people tend to view data in one way: their own. By viewing data diversely, one opens up the possibility of having numerous interpretations. These different interpretations lead to other ways of analyzing data. Different perspectives have the ability to uncover nuances within data that one may not notice when only considering their own analyses.
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I think the most important principle out of the eight from Hoven’s article is Explore. I noticed in class that a lot of the groups picked data visualizations that you were able to interact with. Interactive visuals allow us to explore the visuals more and find new things instead of the visual only answering one question. This also keeps your attention longer so you can be engaged more.
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I believe that the most important step of these 8 principles is the first one, Simplify. There is a reason MIS majors are in such high demand in today’s corporate society, to take hundreds of thousands of cells of data into a way a common person could interpret it. From my experience at Pfizer this summer, I often had to take huge sheets, sometimes 500,000 cells, and make pivot tables and graphs in tableau to make things easier to understand for my bosses, aka simplifying.
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I believe the most important principal is “simplification”. In a world where everything is so fast moving simplification can be vital. The ability to make a data visualization quick and easy to read is beneficial to the individual viewing it. Getting the point across quickly is the best way to go, the way to do this is by simplifying.
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In my opinion, I believe the most important out of the eight principles is “Simplify”. I believe that Data Visualizations are used to display data in a way that nice and easy to interpret the data. If a visual is too complicated for the audience to comprehend, it is basically defeating the purpose of having a visual. Simplifying a visual to where the audience can understand the data at first glance is what makes a data visual a great visual and it fulfills its purpose.
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From Hoven’s article, my take away is that the most important principle is to “be skeptical”. When looking at a data visualization, it is easy to take the information as objective facts rather than biased information. However, data is inherently biased because it is collected and presented by people with their own beliefs and objectives. Therefore, as consumers of data, we must look deeply and skeptically into the data that is presented to us, so we can get a more nuanced understanding.
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I believe that the exploring principle is the most important. I feel this way because we can increase our knowledge by not just being introduced to what the author wants us to be introduced too. But by also seeing the relationships and interesting correlations that we deem important. Also it helps make the data process more fun which will encourage people to interact with data that much more.
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In my opinion, I believe the most important principle out of the 8 is explore. It is very important for people to be able to do as much research as they would like to. Everyone will find knew information to share with the class, and then more things will be discovered. If explore was not one of the options, people would be looking and analyzing the same set of data, without finding anything new.
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To me, I believe that the most important principle is explore. When it comes to something that is involving data, you should be exploring every and all types of data. It is important to get the most for your data set because then it will be more accurate.
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To me the most important principle is explore. When dealing with data it is important to be exploring all and every possible piece of data. You want to be able to get the most data so exploring all options is the way to get. The more data will call for more accurate results.
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I believe the most important principle Few mentions is “Simplify.” Simplifying and being able to filter through the data that is valuable, allows for anyone viewing the visualization to have a better understanding of it. There is countless amounts of data to put into one visualization to begin with. The time consumption in going through the important data is extremely worth it, especially for students when needing to look up data that is subject specific. Data visualizations and infographics should be able to provide the viewer with simplistic instant information that is easily understood.
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In my opinion, the most important principle Few mentions is “simplify.” Simplifying data to be easily read and visualized, benefits the viewer to understand the topic in a different yet informative way. Infographics and data visualization with excessive data do not benefit the viewer when trying to understand subject specific topics. Keeping a viewers attention to a clean and simple data visualization, will allow for the topic to be easily compared and understood.
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I feel that the most crucial point that Few discusses is “Ask Why.” What causes data to look the way it does always has a reason and that can be more important than the data itself. Without answering the question of why something is the way it is, data is nothing but a meaningless table of numbers, there must be reasoning to provide value.
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From Stephen Few’s article, I believe the most important data visualization principle is simplify. Data visualization is used so viewers can better understand the data they are supposed to understand. Some people are visual learners, thus simple yet accurate visualizations can be a great tool. When data visualizations are too complex, no one can understand them.
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According to Stephen Few’s article, I believe the most important data visualization principle is to simplify. Data visualizations are used so the people using them can better understand their data. Since some people are visual learners, these can be a great tool. However, if data visualizations are too complex, no one will be able to understand them.
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In my opinion, I believe that “View Diversity” is the most important principle of data visualization. If you are able to view data in several different ways, it enables you to truly get a good understanding of whatever it is you are looking into. Being able to look at data from several different perspectives is extremely helpful in that you have more to compare. Without “diversity”, all you would be doing is looking at one data set, represented in one way, and basing your opinion/research solely based off of that. Having several representations of that data gives you more to look at, and more to base your opinion off of, which is why I believe it’s the most important.
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I believe that the most important principle from the article is “simplify.” The entire point of data visualization is to make it understandable and readable for everyone. By making an elaborate and complicated visualization, that defeats the purpose. A visualization can be accurate and full of information but if it is not simplified, it won’t be easy to obtain the information provided by it.
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In my opinion, “simplify” is the most important of the 8. Too often data visualizations become too bogged down with unnecessary pieces, and the focus becomes diluted. Complex visualizations are counterproductive for this reason, as visualizations are supposed to and facilitate understanding of data.
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For some reason, it doesn’t seem like my first comment posted successfully, so this is attempt #2. I believe that “simplify is the most important of the 8. Very often we see data visualizations become bogged down with unnecessary information or imagery, and it diluted the main focus. This is completely counterproductive, as the purpose of a data visualization is to facilitate understanding of complex data.
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I believe “simplify” is the most important principle from Hoven’s article. One reason would be that many times data is misinterpreted or misleading because of too much information being giving. I know for me I understand things better when there is less and that may be true for others as well. Another reason is because too much data or complex visualizations are not always accurate.
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I believe the most important principle from Hoven’s article is “simplify.” One reason is because too much data makes it difficult for readers to understand the data given. So I am a firm believer of the less the better. Another reason is because complex visualizations causes people to misinterpret data. Therefore accurate and simple visuals help others understand the data that is being given.
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Looking over Hoven’s article, I feel that the most important principle is “being skeptical”. We have all the world’s data at our fingertips, and as such we never really question it. If we were to take a step back and question how and why we get our data, it will allow us to understand it at a higher level. It will allow us to learn and grow from all the data that we consume.
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I believe the most important principle that Hoven discussed is to “be skeptical”. Being skeptical is what stands out as the most important core principle in data visualization because of how tunnel visioned we can become. By being a skeptic, it allows for more opportunities for discovery or validation to your already existing data.
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The most important principle that Hoven discussed was to “be skeptical”. Being skeptical is what stands out to me as the most important core principle in data visualization because of how tunnel visioned we can become.By being a skeptic, it allows for more opportunities for validation for your already existing data.
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believe the most important step is View Diversely. We should be able to separate ourselves and our own opinions from the specific data. It is valuable to look at data and try to see it from different perspectives. If we do this, we can see how this particular data can influence and effect other people besides ourselves. Doing this, will show who this particular data will be the most beneficial for.
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From Hoven’s article the most important principle in my opinion is “Simplify”, it seems to me that this is in essence what a good data visualization attempts to provide. The simplification of larger data sets into something that is simpler to read and draw conclusions from is really the core idea behind any data visualization. The other principles help provide a more effective communication of the simplified data, but without a simplified data set the concept of clearly communicating any idea becomes difficult regardless of the graphic or medium used to communicate.
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I think all of Stephen Few’s principles for data visualization are important, but more so then the others to “Simplify”. The whole purpose of a data visualization is to simplify data sets and make them easy to read. Few put simplification as the first principle for a reason, because if reading the data visualization is as simple as reading the raw date then their is no point in the visualization at all.
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When looking at the article, I believe that the most important of the 8 principles would be the simplify step. Being that people in the field have to work with such large amounts of data, simplifying helps everyone by pulling out key information and getting to the point. The entire point of MIS is to draw conclusions from the data that you are analyzing, so the simplification step is extremely necessary for the information to actually mean something to those who are using it.
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