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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Leave your response as a comment on this post by the beginning of class on November 16.
Leave a post about your group project:
What is the subject of your group project?
Which of your fellow […] -
Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Leave your response as a comment on this post by the beginning of class on November 9. 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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Article: https://newsroom.intel.com/editorials/intel-power-5g-network-2018-olympic-games/
Explanation: I chose this article because it is about the 2018 Winter Olympics. I always watch both the winter and summer Olympics, so this information is very interesting to me. In the article, the author talks about how they are creating a “foundation for a massive new wave of connected devices and data” as Intel is collaborating with South Korea’s KT Corporation in order to share their advancements with 5G technologies.
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I found this article very interesting. The author performs an analysis on trends related to occupations in terms of gender. The data is eye opening and shows the progression society has made within gender roles. -
This article is interesting to me because it discusses Trump’s tax bill and I am an accounting major and am doing a project that has to deal with the tax reform. Only 25% of people believe the tax plan is a good idea, but that is pretty good. The 25% of people that think it is a good idea probably know about taxes while the rest may not know or just do not approve of Trump. Also 39% of Americans did not form an opinion yet.
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https://www.theguardian.com/environment/2017/sep/26/national-park-plastics-bottled-water-ban
I found a really interesting article pertaining to the environment and how Trump’s reversal of the ban of water bottles in national parks will continue to hurt the environment. There are 331 million people that go and visit the US national parks each year and there are one million plastic bottles sold per minute. That is a lot of people who will come and want to bring water bottled. Because of this idea, the national parks banned the use of water bottles, which saved them 2 million water bottles, which is the equivalent to 419 cubic yards of landfill space. With all of this great information found, Trump reversed the ban 3 months later, leaving the national parks and the environment vulnerable. -
This article is about the recent mobile data leak of 46 million users in Malaysia. The leaked data includes personal user information, ID card numbers, mobile phone numbers, SIM card information, and addresses. The main threat of this data leak is for the affected customers to have social engineering attacks against them where further information could be leaked, or the information could be enough for the criminals to crate fraudulent identities to make online purchases. This is particularly interesting to me as it relates to cyber-security, a field I may decide to work in in the future.
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An article I recently read was: https://www.theguardian.com/news/datablog/2017/oct/31/terror-trends-what-are-the-most-common-phobias-among-us-adults. I thought it was only fitting to include it here since Halloween was just a week ago. The article presents data about the most common phobias among adults. As an advertising student, I found this article quite interesting because of the demographical insights they were able to pull from the survey. These insights included “being female, young, and low income increased the risk of developing any of the phobias, while being Asian or Hispanic decreased risk.” I’m easily fascinated by how the mind works and I liked how they were able to gather these conclusions off of a simple survey. Insights like these are what drive successful advertising campaigns.
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http://fivethirtyeight.com/features/the-ultimate-halloween-candy-power-ranking/
I found this article, “The Ultimate Halloween Candy Power Ranking” to be very interesting and relevant because Halloween was a few days ago. I thought it was interesting that the collectors of the data split what makes candy most desirable into 9 categories (i.e. chocolate, fruity, contains peanuts, etc.). I thought this was a very cool article to read because it shows that data really is everywhere, and even something as simple as what Halloween candy is the most popular can be analyzed to figure out exactly why people find certain candies more appealing than others. -
I think this article is very interesting and relevant to today. Its about the mass shooting problem in America, that seem to never end. In 2017 there were no more than five days without a mass shooting. The data shows that each circle, sized by total deaths and injuries, represents a mass shooting. A mass shooting is defined as when at least four people are injured or killed in one location, not including the suspect with a firearm. This is an ongoing problem in America because of all the gun control debates, but its deeper than that. This kind of stuff doesn’t happen in other developed Nations like in Western Europe, Asia, and Australia, the problem is America has an obsession with guns. Gun control won’t end it until the culture of the obsession with guns ends.
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This article shows is an interactive graph, showing the percentages of people who are married at a certain age, vs those who aren’t married at that age. They also break it down by race, which I thought was interesting because in todays day and age there are a lot of mixed relationships/ marriages. The graph would have been better if it allowed you to mix and match races as well as genders, considering the world we live in now. Other than that I found the article to be interesting and informative to an extent. -
One thing that I also shared with Elon Musk that we are not fascinated with the advancement of Artificial Intelligence(AI). For me, human should always be the one that rule the earth. If, A.I managed to take advantage on the all available data on earth about us, together with their super analytics capabilities, doomsday might be looming.
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I find this article extremely interesting because if this tax bill is passed, it would be the biggest reconstruction of the tax system since the 1980’s. This article goes in depth on the polling numbers in regards of how people view this potential bill passing into legislation. Further in the article they show the approval ratings of President Trump, and also the Democratic advantage over the republicans on the generic congressional ballot which i thought both were very interesting.
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https://sports.yahoo.com/eagles-now-4th-best-odds-192411317.html
My article has to do with super bowl odds and MVP odds. Right now the Eagles have the 4th best odds at winning the super bowl behind the Patriots, Seahawks, and Packers. Carson Wentz also has high odds of winning MVP this season behind Alex Smith and Tom Brady. I love the Eagles so that is why this data is relevant to me. -
https://www.engadget.com/2017/11/07/mobile-phone-data-could-replace-census-questionnaires-in-the-uk/
This article talks about how in the UK, the use of collecting mobile phone data could replace the census questionnaire. The Office of National Statistics collects census reports through paper questionnaires but are also looking into mobile phone data. I think this is very interesting because this is a new way of collecting data. I see a problem with using phone data as the collection process because not everyone has a phone or some people have multiple phones (one for work and one personal). -
I chose this article of Biometrics in sports because it is interesting and also similar to the fitbit/insurance reading we did in class. In summary, sports are using the app Whoop, which measures heart rate, sweat, and other factors, that show potential exhaustion in sports. This is a blessing and a curse for sports, because while it can warn of potential dangers, it also limits the amount of playing time for a player, which can cause the star players being forced to come out because of “warning” from the app even if the player wants to stay in, he will be forced out by coaches.
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TV Ratings: ‘Sunday Night Football’ Hits Season Low
As someone who is interested in the sports field, a KPI of how popular the sport is, can be the television ratings that the nationally televised games bring in. I also wrote a paper on declining NFL ratings last year when this trend started, so keeping up to date with the ratings has become somewhat of a hobby of mine. This article pointed out that the most recent Sunday Night Football game hit a season low in ratings, if these trends continue, it could create the panic that the networks had last year. -
From this article and data set, I found it interesting that the 3 activities those who are employed so with their time is sleep, work, and socializing/leisure/relaxing time. Those who are unemployed spend most of the time sleeping, socializing/leisure/relaxing, and household activities.
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Diagnosing the Internet of Things: Predictive Maintenance Through Analytics
This article talks about data analytics and the internet of things. The internet of things is a system where every device that’s part of the business is connected to the internet. One of companies they talk about in the article is Augury. Augury has 35000 devices and growing that institutes the internet of things. -
https://www.cnbc.com/2017/10/27/bitcoins-origin-story-remains-shrouded-in-mystery-heres-why-it-matters.html
This article was interesting to me because the creator of bitcoin’s identity is still unknown and the creator essentially owns 5% of the 21 million finite supply of bitcoin. For comparison purposes, the united states holds the most gold reserves in the world at about 8,000 tons, which is a little over 4% while the creator of bitcoin owns 5% of the bitcoin supply valued at around over 5 billion. In other words, the creator of bitcoin has more currency dilution power than the united states has over gold. Dumping more currency in circulation essentially decreases its value and having this unknown identity that owns about 5% of a rapidly appreciation currency can be troublesome in the short term if this person were to dump their stash of bitcoins on the market. -
https://www.theguardian.com/news/datablog/2017/oct/31/terror-trends-what-are-the-most-common-phobias-among-us-adults
This article was about the most common phobias among our population. the sample size for the study was 43,093 people. the data was displayed in a table, and also displayed in a graph that is shaped like a mountain because a fear of heights is one of the phobias. The graph showed just the 5 most prevalent ones. I thought this article was interesting because the graph was very appealing, so I thought they did a good job with that display of data. I also thought it was interesting because most people have weird things that creep them out, so it was pretty cool to see some of the most common ones. -
This article has an extremely interesting take on the Equifax data breach, the dives into why it happened in the first place. I’ve always known that when you submit information for something free in return you are the product so it doesn’t surprise me that Equifax has been making a profit off of all the consumer data they collected through credit karma. What does interest me is that Verison and Yahoo are defending Equifax’s rights to own the data, while this might legally be true I’m concerned about what precedent it sets for future businesses.
If they own are data does this mean they have a right to decide whether or not they want to protect it from potential hacks?
For example, if your identity was stolen from this data breach, does this mean you can’t hold Equifax accountable for not protecting the data you gave voluntarily? Does we forfeit the rights to our own data when we are given something free in return? -
This article is about how people can use social media platforms like instagram to make money. The article suggests that people with 3,000 to 10,000 followers can make around 250 US Dollars for one branded post. I found this interesting because I use social media everyday, and while I do not have this many followers on Instagram or Twitter, it is funny to think that having followers can become a career for some people.
http://www.businessinsider.com/inkifi-website-tells-you-how-much-your-instagram-posts-are-worth-2017-11 -
According to a survey of over 40,000 Americans, the most common phobias are animals (birds, insects, and others) and heights (mountains, tall buildings, bridges). The researchers found that people most likely to have phobias are young, low-income females and that the average age for developing a phobia is between 9 and 10. Some of the other most common phobias include being in closed spaces, being in/on water, thunderstorms, and traveling.
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This is a pretty cute chart that is mapping happiness. It shows each state and a smiley face or frowning smiley face. The bigger the smile the happier those people are living in those states. If the face is frowning, most people in that state are more likely to report worse physical and financial health. These people are more likely to be obese, smoke, or have little interest in life.People living in PA are moderately happy. Some of the happiest people come from Texas, Hawaii, Arizona, and Maine. A lot of unhappy people live in Mississippi, Ohio, and Rhode Island. -
http://www.propertycasualty360.com/2017/10/26/wearable-technology-discoverable-data
I found this article interesting because it covers how wearable technologies such as smart watches and fitbits can provide data for new uses. For example, in a Canadian court case the claimant provided evidence of requiring disability benefits by presenting data from their fitbit proving they have insomnia. This is interesting because this is a unique way to prove existing health conditions. -
https://fivethirtyeight.com/features/can-an-nhl-player-finally-score-50-goals-in-50-games-again/
This article is about how there are only 5 players in the entire NHL history that have scored 50 goals in the first 50 games of the season, and the last to do it were 25 years ago. However, due to data on previous seasons, looking at trends, there’s reason to believe that this year may be the year to break the 25 year curse. Those reasons being several rule changes to hopefully boost the number of goals per game, as well as a low among goaltending that’s the lowest it’s been in almost 10 years. Goalies are just not covering the goals as well this year as previous years. Not to mention superior players that are capable of the milestone, based on their stats thus far. All of this has the potential to break new records, something that the last 25 years of hockey has been missing for decades. -
This article was written shortly after the tragic shooting at the Texas church. This is a scatter plot that portrays the number of mass shooting, as well as the severity of mass shootings since 1984. What makes this scatter plot effective is that the thickness of each plot represents the severity of the shooting. Therefore, the bigger the shooting, the larger the size of the plot is. The graph shows that mass shootings are becoming both more common and more severe as time goes onI think this is very relevant because it was a tragic event and need to be aware of one of the biggest dangers in this country which is mass shooting.
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https://fivethirtyeight.com/features/can-an-nhl-player-finally-score-50-goals-in-50-games-again/
I found this article to be interesting to me because the main question it focus’ on, “Can an NHL Players score 50 goals in 50 games?” I am a big hockey fan so this article caught my eye instantly. The site shows the reader graphs about the top scorers throughout the years and how many goals they got. It is a very hard thing to do and it gives a challenge for the players. Gives detail about the players and compare stats throughout the article. -
http://www.newsweek.com/russia-checking-facebook-stores-data-countrys-servers-banning-social-network-705709
I found this article interesting because it deals with the rights of a private company versus the rights of a sovereign nation. Russia wants the company to store data of Russian citizens on servers in Russia rather than outside the country and are currently checking to see if Facebook is compliant with Russian law if Facebook isnt then Russia will ban the website in the country. -
I found this article really interesting which it talks about the driverless Ubers, so more and more cars without drivers will pick people up and take them wherever they want to go.
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This article is interesting because it shows how different groups of people spend their time throughout the day. It shows that a majority of females who aren’t look for employment spend their weekdays sleeping from 10pm-8am, doing household activities from 8am-12pm or 4pm-5pm, and socializing, relaxing, and leisure from 1pm-10pm. On the other hand, males who aren’t looking for employment don’t focus on household activities as much as females and spend more time on socializing and leisure activities. It’s interesting to see the variation of things people do through the day depending on whether its a weekday or weekend, if they are male or female, and if the are employed, unemployed, or not looking. -
Article: http://flowingdata.com/2017/10/19/american-daily-routine/
This data visualization focuses on different types of activities people do, what time they do it, and the percentage of the activity during all hours of the day. When i first opened the article, i had assumed that it was going to be a little bit more trickier than it was to read and comprehend, but it turns out the data was represented very clearly. All of the activities in the chart are listed on the left side, while the bars are represented in different levels of color to indicate the percentage. Overall, i really like this visualization. I have never seen information represented the way this one is laid out but I think it is very clear. The only thing about it that could be improved is to add more activities to it.
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http://results.regattatiming.com/backoffice/webpages/staticRaceResults.jsp?raceId=429 This is the results page from the Princeton Chase regatta about two weeks ago. This is important data to me because my team and I look at this data to see how we compared to other teams that showed up and how teams performed this year versus last year. Race results are always important to look at because we can pull a lot of statistics and data from them.
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https://www.cnbc.com/2017/11/08/microsoft-starts-using-linkedin-data-to-help-you-get-a-better-job.html
I think this article is interesting and relevant to me because I use LinkedIn on a daily basis, and for one, I was never aware that Microsoft owns LinkedIn. I also didn’t know that Microsoft has a program called The Resume Assistant, which could be very helpful to me. I think it’s cool that Microsoft uses data from LinkedIn and helps people see different descriptions of the job they’re looking for and the skills necessary for it, too. -
Article: http://www.dataversity.net/data-analytics-education-advances-villanova/
This article interested me because it discusses a new program that Villanova University is implementing in the Fall of 2018 to help its accounting students obtain the CPA 150 credit requirement. As an accounting major this is really relevant to me because obtaining 150 credits for the CPA exam is no easy task. The program is called MACDA, which offers 36 credits with classes on Big Data and Data Analytics. The courses are all online, which was done to allow students to allocate more of their time to prepare for the CPA exam. Some courses offered in the program are Data Modeling/Business Intelligence and ERP Systems/Data Analytics.
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This article describes and graphs what cities it predicts will be under water by 2100. Climate change appears is a real thing and people are still in denial about it, and it only seems to be getting worse. It is estimated that 275 million people will be not be able to live where they do now due to flooding. -
This article is about the controversy surrounding the president and Russia’s involvement in our last election. It speaks of how the Russians used the masses the same way advertisers do, by data mining. This is the act of using an algorithm to filter data and taper it to an individual’s preferences. There isn’t much about how or why they did it, but it is an interesting development to the whole story.
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So this morning Fivethirtyeight put out a new article showing the voting landscape of a county in Iowa. I am really into politics so for me it is really interesting to see the trends and demographics shifts in polling data. The article pointed out that there was only one country in the united states that voted both Obama in 2012 and with Trump in 2016 in land slide victories, and that county was Howard County in northern Iowa. Landslide victories are described as winning the vote by more than 20%. This paints a bigger pitcher on what the country wants from their president. They want change, and Hilary reflected she was not that.
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Recently, about two weeks ago, I received an email informing me that I may have been affected by a privacy breach on Equifax. I was granted a free credit report for each of the main three bureaus. The article I read discusses why Equifax even contains some of these peoples information. Supposedly Equifax does not believe that they should have to give up individuals personal information because they “own” it, even though people would prefer to opt out of them storing the information. All in all, Equifax is an ethics battle determining if they should be able to withhold personal data of many Americans who prefer them not to have the data.
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https://www.engadget.com/2017/11/27/google-trends-real-time-search-data-news-images-video/
This article highlights a tool Google created in 2015. The program is able to show what people search for on Google in real time using the system’s analytics. Being able to trace and follow trends in an instant, is extremely valuable to companies and media outlets alike. -
https://channels.theinnovationenterprise.com/articles/how-has-big-data-shaped-social-media
This article is interesting because it explains how big data influences social media. Obviously the two are connected but it did not occur to me to think about social media in terms of the data being collected from our posts. It’s also interesting to see how it’s changing the business of social media. -
This article is interesting because i didn’t know that disney studio is in the lead with the most movies revenue. Now Disney is trying to make a deal with 21 centry Fox. If deal were to go through, then disney will most likely be the top revenue maker in movie studio since they own other studios too like marvel.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Leave your response as a comment on this post by the beginning of class on November 9. 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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http://www.foxbusiness.com/politics/2017/11/02/trump-s-tax-plan-major-changes.html
This article focuses on the proposed Tax Cuts and Job Act which adds a fourth tax bracket to the economy and no longer touches retirement plans. If this bill were to pass, the average middle-class family would save over $1,000 on taxes each year. I found this article interesting because one of the areas I could potentially end up working in is tax as a CPA. I could potentially do income taxes for individuals or corporations, and both of these groups would be affected by this bill. Corporations could see up to a 15% decrease in the corporate income tax. This bill is relevant to me because of my parents income too; also, I could save money on taxes in the future if this bill passed depending on my income level. Some of the data relevant to this article includes: individual’s names, taxable income, deductions, amount of deductions, number of dependents, amount saved, and more.
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http://www.zdnet.com/article/tableau-ge-aviation-partner-on-data-analytics-for-planes/
This article is focusing on the recent partnership between GE, specifically the Aviation department, and Tableau by leveraging their service to visually analyze data to help improve fuel efficiency and customer experience, among other things. It is awesome to see that companies are starting to recognize how useful of a tool Tableau is for their business, and its ability to diagnose business problems/successes an act accordingly to what you find . Being a senior, and having Tableau experience on my resume, I can personally say it is making me more attractive as a candidate, and seeing more corporations starting to use this technology hopefully more job opportunities this year.
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The article “Reading by the Numbers: When Big Data Meets Literature” discusses professor Franco Moretti’s revolutionary way of close reading texts through the use of computers. Distant Reading is defined as the computer-assisted crunching of thousands of texts at a time. Rather than emphasizing certain books that “have stood the tests of time,” this method allows for the analysis of works that have been long forgotten and overlooked. By using computers to create data based on numerous forms of literature, we will be able to gain a more holistic view of literary history. Trends, themes, and histories will be easier to link throughout said history. This is relevant to my studies of literature. As an English major, I have to close read, analyze, and critique multiple texts throughout the semester. Tools like this will assist scholars in obtaining more accurate pictures of books and in placing them in the correct context in which they were written.
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I find this article interesting because it talks about my generation the Millennials. My generation is going to make up 75 percent of the workforce by 2025. Our generation is already “tech-savvy” so companies just have to get us on board to do data professional roles. The article states that you do not even have to go to school for data jobs. The article states that the millennials have “to be groomed to take on Data Architect, Data Steward, and Data Governance jobs”. You can find talent in people who did not go to school for data jobs because they have a diverse set of skills and can work on different challenges. Millenials do not like doing the same thing all the time we like to be challenged and we like our assignments to change. This article interests me because I could get a data position in the future by an employer. -
This article goes in to depth about how at the most recent PCAOB meeting they are urging auditing firms to get a better grasp of data analytics. The PCAOB believes furthering their staff’s knowledge of data analytics will help them be more successful in their auditing effort. This article is interesting to me because one of the majors I am considering is accounting. Also, since I am taking two different MIS classes data analytics have been talked about to great extents.
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For about two years, I keep hearing that AI is bad in a way that it will steal our jobs in the future. However, based on reading this article, AI + Big Data will actually help small businesses and companies to utilize their IT in positive direction such as lead generation, streamlining lead scoring, to monitor customer behavior and update us if we needed to interfere, and free up our time to do more high value work.
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https://fivethirtyeight.com/features/gun-laws-stop-at-state-lines-but-guns-dont/
The article I picked, titled “Gun Laws Stop At State Lines, But Guns Don’t” is another controversial matter that has been up in the air among US gun laws. Among the recent tragedy that happened in the recent years, guns laws is up for a debate among lawmakers and its oppositions. According to the data published in the article, even though gun laws are very strict in certain states, the people can still purchase guns to neighboring states with less strict gun laws and carry the product to their home state loosely. Thus, strict gun laws is not working if it doesn’t have a unified gun laws in every states. I find this article very interesting due to the nature of the gun laws in the US itself and how loosely it can be tricked.
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https://www.wsj.com/articles/out-of-the-frying-pan-in-china-kfc-tests-high-tech-and-healthy-options-1509964205
(the whole article is available only for paid members) “Fast Food Gets a Reboot in China: Tuna-Pesto Paninis, Paid for by Facial Recognition”
Usually, many people in China avoided going KFC because they thought fast foods are not good for their health. However, many fast food restaurants in China are trying their best to offer healthy menu and the annual gross is increasing a lot. It was so interesting that about 45% of whole sales in KFC were mobile payments.
The reason why I choose this article was that it provided a lot of data to check the new trend of fast foods in China. This article provided the stock price (growing rates) of each major company in China and the growth rate of the whole profit. I could effectively check the changing trend and could realize that marketers always have to prepare for new trend. -
https://fivethirtyeight.com/features/gun-laws-stop-at-state-lines-but-guns-dont/
This article discusses the relationship between state gun laws and the paths traveled by firearms before being recovered by law enforcement. The analysis of the data proposes that even if a state has strict gun laws, if the neighboring states do not, the strict regulations will be undermined by people transporting guns from surrounding states. As a criminal justice major, I found this article very insightful, especially in light of recent mass shootings in America. -
MyMusicTaste, which allows fans to request live events, gets $11M Series C
This article is about an interesting new app that takes a different approach in booking events. The concept behind it is pretty straightforward, the group has partnerships with artists and use user requests alongside other data to determine where and when to book events. The company prides itself on being very open about the data it is collecting, and which campaigns are gaining movement behind them so users feel truly involved. This is a welcome change from giants like Livenation that often have partnerships with large corporations like Iheartmedia, effectively curating today’s popular music scene. -
http://www.bbc.com/news/business-41919958 This article talks about former top Yahoo and Equifax executives apologizing for breaches that exposed billions of customer accounts in front of the U.S. Senate. The executives claimed that they had no control over the breaches in security. I find this extremely astounding because, seeing as Yahoo and Equifax possess such personal information, I figured they would have better safeguards against – or at least better apologizes for –
foreign hacks. -
https://www.usatoday.com/sports/nfl/rankings/ This article shows the NFL football rankings so far this year. It is interesting to me because the Eagles are the number one team right now and that is Philadelphia’s football team. It is so awesome to see this since we haven’t done this good in a very long time.
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http://www.bbc.com/news/uk-41898318
This article is about how the next census in the UK could be counted by where a person’s mobile phone is being used and the data from it. I think that could be very interesting but it could also be inaccurate because they are not taking into account the people that do not have cell phones with this method. But it will make counting the census a lot easier and faster. So there are positives and negatives on both sides. -
This article discusses why its time for the Phillies to give up on their third baseman, Maikel Franco, who has failed to live up to expectations, and move on to a new player. It uses his statistics from last season, as well as advanced sabermetrics, to conclude that he was the worst third baseman in baseball, falling to the bottom in most categories among eligible third basemen. While his potential is appealing, these statistics make it hard to see why he is a good choice for the team in the long run. -
https://www.timeanddate.com/time/change/usa
This article shows an in depth view of daylight savings and its effect nationwide. I think this is interesting because it is relevant to everyone, and it also changes the way that businesses and other entities. I would find it interesting to examine its effect on electricity bills and certain sector’s changes in production. -
https://fivethirtyeight.com/features/roy-halladay-was-the-greatest-pitcher-of-his-generation/
This article talks about Roy Halladay, and just how dominant he was during his time in the MLB, even calling him, “The greatest pitcher of his generation”. This article comes quite unfortunately after his tragic passing just a few days ago. Growing up, Halladay was one of, if not my absolute favorite pitcher to watch in the MLB, and I would 100% agree with this articles argument in stating that he was the greatest pitcher of his time. This article includes data that highlights several facets of his game, and all these stats show just how truly remarkable of a pitcher he was. This article shows how he is at the top of several stat points, having the highest WAR from 2000-2010, as well as having the most complete games from 2000-2010, just to name a few. These stats show just how great of a pitcher Halladay really was.
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https://www.t-mobile.com/optional-services/roaming.html
This articles focuses on different data plans for international traveling. The best data plan turns out to be free unlimited text messaging and 2G internet in at least 140 countries if you have Tmobile. You can search up whatever country you plan to travel to, and all the data rates for that country will be provided. This article interests me since I love to travel. I plan to travel to several of different countries in my future, and this will be an important factor once I do so. -
https://www.theguardian.com/news/datablog/2017/nov/05/america-terrorism-risk-global-data-new-york
This article is about the threat of terrorism. As we all probably know, terrorism is reported heavily in media, and unfortunately this creates the perception that it is much more common than it really is. The data in this article compares daily fatalities in western nations to the rest of the world, over a span of a decade. What the data reveals is that we in the US are not in nearly as much danger of terrorism as the rest of the world. While any fatalities, domestic or worldwide, resulting from terrorism are tragic this article may help westerners get a more objective measure of safety from terrorism.
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This article discusses the history of Data Storage for computers. The first example that was given of this dates back to 1948, where Professor Fredrick Williams used Vacuum Tubes for Random Access Memory. Since then, however, we have been rapidly advancing to storage devices as Hard Drives, Solid State Drives (SSD’s), and Flash Drives. I think this article put into perspective how rapidly data storage has changed over the 70 years. To think that my cell phone has more storage on one SSD than any computer could have in the 1900’s is remarkable. I can not wait to see where and how data storage changes over the next 70+ years. -
I chose this article because in this class we have discussed the affects of large data leaks, like the Ashley Madison scandal. This article stood out because almost everyone has a smartphone or tablet of some sort, but not everyone has an Ashley Madison account. Twilio, the app in question, is an app that users can use to make phone calls, and send text messages. I also found it interesting that the cause for this security breach was not the app’s fault, but the developers of the app. This could be grounds for a major lawsuit against the company.
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http://www.huffingtonpost.co.uk/entry/revealed-when-you-should-book-flights-for-your-2018-holiday-to-get-the-cheapest-deals_uk_5a0416f2e4b0f76b05c37301
An article I found interesting is an article called, “When to Get The Cheapest Flight For Your 2018 Holiday”. I choose this article because I love to travel and I have always wondered if there is a best time to buy airplane tickets, such as the day in the week, or a specific time during the day before they are marked up, especially for holiday seasons. According to the article, the best and safest time to buy an airplane ticket is two months before your travel date, and by doing that you will be saving 34%. This data could become useful when planning my next traveling trip. -
This is an interesting article on the dangers of big data in sports. I chose this because I’m interested in the subject of sports and I think the application of next-level data to the field would be fascinating. This article is particularly intriguing because it discusses data security and how large amounts of athlete’s information could be used by opponents to hone in on a particular weakness– for example say the right arm is marginally weaker than the left, that could provide an unfair advantage to an opponent that they wouldn’t pick up just by watching them play
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Girl Scouts hope to change the face of AI, robotics, and data science
This is an article discussing how the Girl Scounts of America is helping to encourage more young women to pursue a career in STEM. Raytheon has teamed up with the GCUSA to launch the first national computer science program and coding challenge for girls in middle and high school. The Girl Scouts also launched 23 new badges in July, which included several that are earned by working toward STEM-specific skills. -
Yesterday, former CEO Marissa Mayer testified in front of the US Senate about the 2013 Yahoo data breach. 3 billion accounts were hacked during this breach, leaving U.S consumers personal information exposed. This is worrisome because many online companies require an email and password, and many U.S citizens use the same password for various web services that require an email and password. This lead many American vulnerable to future hacks. I’m interested in seeing what lies ahead for the C.E.Os of companies such as Yahoo, Equifax, and Verizon, and seeing where the U.S future lies as far as online security.
https://www.cnet.com/news/yahoo-equifax-breach-senate-congress-hearing-marissa-mayer-rick-smith/
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Some quick instructions:
You must complete the quiz by the start of class on November 7.
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 7 years ago
Some quick instructions:
You must complete the quiz by the start of class on November 7.
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 7 years ago
Office hours for October 31 will be held from 12-1 pm.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Office hours for October 31 will be held from 12-1 pm.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Here is the exercise. And here is the Excel workbook you’ll need [Pew Story Data (Jan – May 2012).xlsx]
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Here is the exercise.
And here is the Excel workbook you’ll need [Pew Story Data (Jan – May 2012).xlsx]
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Here is the study guide for the second exam.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Here is the study guide for the second exam.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Here are the assignment instructions. Groups MUST be 4 or 5 members. You may not do this assignment on your own or in smaller groups than 4.
The assignment is due December 5, 2017. We’ll do the pre […]
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Here are the assignment instructions. Groups MUST be 4 or 5 members. You may not do this assignment on your own or in smaller groups than 4.
The assignment is due December 5, 2017. We’ll do the pre […]
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Here is the exercise.
And here are the workbooks [2012 Presidential Election Results by District.xlsx and Portrait 113th Congress.xlsx]
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Here is the exercise.And here are the workbooks [2012 Presidential Election Results by District.xlsx and Portrait 113th Congress.xlsx]
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Laurel Miller wrote a new post on the site INDUSTRY EXPERIENCE IN MIS-FALL 2017 7 years ago
What have you learned in the classroom that you have leveraged in your internship? Please respond by commenting to this post.
Please check the gradebook to see if you are missing any assignments. You wil […]
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I was able to take a lot from MIS3506 that I leveraged throughout my internship. Working with a team to create a final set of deliverables, and understanding the different activities and people within a project gave me a good foundation to work with over the summer. I worked with a team all summer to meet the requirements of the final deliverable. MIS 3506 showed me the importance of communication between the PM, stakeholders, and SME’s. Each one of them is crucial to the success of the project. The experience from MIS 3506 allowed me to understand the process and work to meet the deadline of my project deliverable.
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I learned a lot from MIS3506 that helped me tremendously in my internship. Mainly, creating precise, well-written objectives for the project. It gave me a good foundation that I definitely utilized in my internship with PoundCake Cos. Working with a team to deliver a product with a specific tight budget and meet the deadline would have been overwhelming if it wasn’t for the tools and knowledge I acquired during the MIS3506 class. The biggest focus in this class was effective communication between the PM, SMEs, and stakeholders, and it was definitely key in delivering a successful project. During this internship, I faced some challenges, but nothing was a surprise thanks to the digital design and innovation studio class.
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During my internship, I have done a lot of work with Microsoft SQL Server. My experience from MIS 2502: Data Analytics has really helped me with this work. Moving from My SQL Workbench to Microsoft SQL Server was a pretty easy transition, but having the basic knowledge of SQL really helped me pick the work up quickly. Since I already knew the basics, I was able to understand learn things like stored procedures easily. My knowledge of Excel has also helped me during my internship.
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MIS 2502 was the most helpful class in my internship. The Microsoft Excel class was also useful. There was a lengthy amount of work to do in Excel while working in my internship, and learning about pivot tables and various queries in both of these classes definitely set me up for success. Cross America’s previous interns came in with less knowledge of the program, so they were pleasantly surprised by how well I knew the program. Learning SQL in MIS 2502 was also beneficial. I often had to use queries in order to search and change data while working. The classroom was very influential in my work.
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Throughout the course of my internship, I truly realized how applicable some of the MIS courses are in a professional setting. For one, MIS 2502 was beneficial to me because I had a lot of exposure to very large databases during my internship and the SQL background I developed in 2502 helped me run queries and effectively navigate through a database. However, I believe that MIS 3506 was the most helpful to me because it taught me how to work on projects in a team environment and gave me thorough exposure to all of the different components of a formal project. My biggest takeaway was how to create formal documentation and communicate with individuals that you may never see in person.
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Hello everyone,
MIS 3501 and 3502 were really helpful throughout my internship as a software developer. The coding classes in the MIS program really helped my in understanding existing code in a project. By understanding the code that other people wrote it was easy for me to reuse code rather than write the code from scratch. Also in those classes I have learned to stay organized in writing my code. I have commented what the code I wrote did for each function.. Also another class that helped me in my internship was MIS 2502 where i worked with databases such as SQL and Rstudio.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Leave your response as a comment on this post by the beginning of class on October 26. 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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A KPI that I frequently use is the amount of sleep I get in a night. I have sleeping issues, so when I don’t get a good 6+ hours in, I become irritable, groggy, anxious, and stressed. Sleep enables me to perform better in my classes and contributes to an overall healthier lifestyle. I measure my sleep by calculating how many hours I get each night to see if I achieve my desired goal. The amount of sleep I get is very relevant to the way in which my body and mind functions throughout the day. Lastly, this KPI is time-phased because I track my sleep down to the hours I get each night.
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One KPI that I use on a regular basis is my school GPA, as it measures my overall school performance for the semester. This KPI fits the SMART criteria because GPA is a specific measure that tells you your overall grades for the year, and it is also achievable because if I study more, my GPA will most likely get better. Additionally, GPA is certainly a relevant measure, as a higher GPA is a major influence on the salary and prestige of my future post grad job. Finally, GPA is time variant, I can look at GPA over this semester only, or I could take all my semesters together to get a broader idea of my academic success.
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The KPI I use most often and is probably most important to my life is the amount of money in my bank account. It determines how I am preforming in my fiscal responsibilities to myself. The higher it is, the better I’m doing. This fulfills the SMART criteria in the following ways:
SPECIFIC- Nobody else has access to my account, so this number is specific to me.
MEASURABLE- The data is measured in dollars that I own.
ACHIEVABLE- I definitely can afford all aspects of my life as long as I budget properly.
RELEVANT- How much money I have to my name is relevant to telling if I’m meeting my budgetary goals.
TIME BASED- Most of my bills and income are paid on a monthly basis. -
I enjoy examining sport statistics and there are many different KPI’s evident in sports. The on I am going to describe in answering this question is in the NBA they use PPG (points per game) to describe how many points per game a player scores.
SMART criteria:
Specific- The PPG statistic refers to only one specific player’s statistic.
Measurable- The PPG statistic is measured in points per game.
Relevant- The higher the PPG the more money and more successful the player becomes. Thus PPG is very relevant to an NBA player’s career.
Time Based- The PPG statistic is based on a game to game basis. -
One of the KPIs that I use all the time are my grades for school. Whether it’s the grade I receive on individual grades like assignments and exams or the final grades for classes. My grades conform to the SMART criteria in a few ways. I can be specific and look at each individual assignment, (measurable) and since each assignment is graded and I can see what classes I have to focus more on(achievable). I’ll study more for these classes and ask for additional help if I need to. Grades are put in all the time, so the the time base is the whole semester.
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KPI I use most frequently is the number of steps I walked each day. I use mobile application, “SAMSUNG HEALTH” to count it.
This KPI is specific and measurable: The sensor on my mobile phone counts the number of steps automatically and I can check how long and how many steps I walked. It also translates the measure to calories I used.
Achievable: I can check the KPI any time I want and I can try my best to walk as much as possible. For example, I can use stairs instead of elevator if I think my number of steps is not enough.
Relevant: This KPI is directly related to my health and exercising. By walking a lot, I can make my metabolism active and although I don’t have enough time to go to gym, I can do enough exercise.
Time-variant: I can check total step I walked each day at the end of the day(12 am) and I can even compare it with other days. -
KPI I use daily is the amount of water I drink each day. I use an app to track how much water I should drink based on my height and weight. This KPI is specific because I have to put in my height and weight and it tells me what a person my size should drink each day. It is measurable in oz, liters etc. it adds up the water as I input it. It is achievable because I can check how much water I drink and make sure I meet the goal all the time and if I don’t I know I need to drink more water. It is relevant because it is related to my health and by me drinking water I know I am hydrated enough for my body type. It is time-variant because I can check this app anytime, add the amount of water I drink and compare it to others of the week.
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KPI I use most frequently is my online bank account. This follows the SMART criteria by being specific and measurable in the dollar amount, achievable by budgeting the money you allocate for each day, relevant to how much money you spend each day, and timely because you have to plan when you will need more money than usual.
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A KPI I use on a regular basis is an app that records the amount of time I study in the tech center or library. This can help give me an idea of how I’m doing in my classes, based on how much time I spend studying. This information is also time-variant because it records both hours spent studying per day and per week.
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A KPI that I use on a regular basis is one on my phone that tells me where the most battery percentage is being lost on my phone (which apps are using the most battery life). It measures the percentage I use on each app and even the time spent just having my phone on the home screen. This KPI can help me to balance the apps that I am using the most so it can keep my phone from dying as fast as it usually does.
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My iPhone battery percentage is a KPI I use everyday. It is specific because only my individual battery is displayed. It is measurable out of 100%. It is relevant because my phone battery dictates how long I can use my phone, which I often use to communicate with my friends and family, send work-emails, and check my grades.
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A KPI that I use on a regular basis is the battery percentage on my phone and laptop. Being a college student, most of time I use my phone and laptop throughout the whole day.
Specific: showing my personal percentage
Measurable: the percentage goes from 1% to 100%
Achievable: rechargeable
Relevant: it shows how much or little I’ve been on my device
Time: how much time you have left using the device -
I regularly use my grades on tests and assignments as a KPI. They are specific, written clearly as a percent and therefore easily measurable. They can be set as goals and therefore achievable, as well as relevant and time oriented by being broken down into semesters in at Temple working toward graduation.
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A KPI I use on a daily basis is the amount of money I spend a day on food. It is specific and measurable because it can be measured by keeping the receipts and looking at the specific amount of money I spent. It can be achieved because I can budget the amount of money I spend on food and limit my spending or work more often to make more money. It’s relevant because eating is something we do every day and sometimes the quickest way to obtain food is buying it ready to go. It is time-variant because I can measure the amount I’m spending whether it’s in a day or it’s in a month.
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A KPI that is used in my everyday life are my school grades. They are very specific by class and by teacher. They are also measurable by the amount of points I have received for that class. They are extremely relevant if I want to do well in school. They are also achievable if I set realistic expectations for myself.
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A KPI that i use in my daily life is keeping track of the amount of money i make from work every week. This is specific and measurable because every Friday I receive a check with a certain amount of money on it, depending on how many hours I had worked that week, and I know exactly how much I made. It is achievable, because I want to be able to balance how much money I put into my savings, versus how much money I put into checking. It is relevant because I look forward to receiving my check every Friday, and I base my weekly spending off of how much I make and how much I anticipate that I will make. It’s time variant because I receive it around the same time on every Friday of each week.
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A KPI that I use daily are my grades in each class. It is specific, because the grades are mine, and are different for each class. I can measure my grades based off of their percentage number, making them measurable. It is achievable because my study habits and time spent in an individual class will affect my grades. It’s relevant, because my grade will reflect my effort and skill in that respective class. It is also time variant, as my grades will change every time a new assignment gets completed.
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A KPI that I use daily is checking my bank account frequently. It is specific because it tells me what have been spending my money on. I can measure around what time of the month I tend to use my card the most. It is achievable because I want to save more spend less. It is relevant because as I start to budget I will see less withdrawls. Its time variant because as my money sits my interest will build up.
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An example of a KPI is my Discover card.
Specific: this card on affects me and how much I spend on it.
Measurable- I can measurable it in dollars.
Achievable- I make sure I am not running up to high of a credit bill and that I pay it off on time.
Relevant- The amount of money I spend(or borrow) is based off of what I need and how many hours I work each week.
Time Based- I pay my credit card bill each month. -
An example of KPI that I use on a regular basis is GPA. It is specific and measurable because it is the measurement of my academic performance while at Temple. I can work harder to achieve a higher GPA, or not work as hard and my GPA will drop. It is relevant because it is a key part of a resume. It is also time-phased because it is updated after every semester.
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An example of KPI that I use daily is how many minutes I walk, I tried to get at least an hour of walking every day. I have an Android app that monitor how many steps and how many minutes I walk on a daily basis. I believe that this walking activity consists of all of the SMART criteria components.
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A KPI that I use on a daily basis would be my GPA, this helps me understand my performance overtime as I can compare my GPA from semester to semester to track my progress and determine the most effective study methods for me. This KPI is a measure that is regularly updated that specfically pertains to my performance in school making it match the SMART criteria. My goal is to have a 3.0 or higher as this is what I and many other future employers consider as a “good” GPA.
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A KPI that I used on a daily basis is weight. Not just my own personal body weight, but weight used for exercises in the gym. Being an athlete in college, it is important to keep a close eye on both of these things, as it indicates how I will perform on the ice. My goal is to maintain or lose .5 pounds a week, depending on how my weight is currently looking, as well as increasing weight for workouts, making it specific and achievable. It is time variant as well, as both numbers will increase/decrease over time.
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A KPI that I use on a regular basis is my step counter on my fitbit. This is a KPI because it specifically measures my daily steps, lets me know when I attain the recommended amount, is relevant to my everyday life because I do not have a car so I walk most places, and is based in time since its daily.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Leave your response as a comment on this post by the beginning of class on October 26. 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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My example of a KPI that I use on a regular basis is the number of emails I receive every day. This is specific and measurable because it is an exact number of emails and I use my email a lot every day. It is also achievable because I can turn on my notifications to tell me when I get an email, so I can check it frequently throughout the day. Plus, it is relevant because I need to always check my email to make sure I do not miss anything important. Lastly, it is time-phased, or time-variant, because the time frame is that I check my email daily.
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One example of a KPI that I use on a regular basis is the number of miles I ride my bicycle and the average speed. This is specific and measurable because it tracks the exact number of miles I ride, and the exact average speed of my ride. It is achievable because I can set a goal of how fast and how far I want to go on my ride. It is relevant to me because it keeps me in shape, and tracks my mileage, speed, and calories burned. Finally, it is time variant because I can look at my mileage, average speed, and calories burned for a day, or over a week or a month.
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An example of a KPI I often use is the sales for my department. This is specific and measurable because it tells me exactly how much money my department has made.
This is achievable because I can set and meet sales goals.
This is relevant because the sales are directly linked to the success of the store.
This is time-phased because I can see the results on a daily, weekly, monthly and yearly basis. -
An example of a KPI I use is my time spent commuting to Temple. It is specific and measurable as I can track the time from when I leave my house to the time I arrive at Temple. It is achievable as I can alter my driving route depending on traffic and the time of day in order to reduce the time; and I can also set a time goal for myself each day. It is relevant as I commute each day of the week to Temple, so the time adds up in the long run. Finally, it is time-variant as I can log my commute times each day and compare different travel route’s times.
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An example of a KPI that I use the number of miles I walk everyday around campus. This is specific and measurable, miles is a precise measure for distance. It is achievable, I can change my routes around campus. It is relevant, the more I walk the better it is on my health. It is also time-variant. I can look at my miles, over a week, day, or month.
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An example of an KPI that I use is my phones battery life. It is specific and measurable because on the top right of my screen my phone tells me the percent at which my phone is at. It is achievable because I can use my phone in different ways and a different amounts of time. It is relevant because I need my phone to stay in contact, if I see the battery percentage is low then I can put my phone on the charger. The battery percentage on my phone keep my phone from dying. It is time-phased/variant because I check my phone hourly.
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A KPI I use on a regular basis is the calorie and distance tracker on the treadmill. This is specific and measurable because miles ran and calories burned are both precise measures. It is achievable because I can set a goal of a certain number of miles I want to run or calories I hope to burn and alter my pace to reach those goals. It is relevant because it is how I stay in shape and improve my health. And lastly it is variant because I can look at miles run or calories burned each time I exercise.
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One example of KPI that I can use is the number of assignment I manage to complete in 2 hours. It is specific and measurable as I have to count how many assignments I can finished from the available assignments for me. It is achievable as I would record my daily assignment complete in 2 hours. It is relevant for me as it shows whether do I manage the time appropriately and efficiently. It is time-phased because I benchmark it at 2 hours per day.
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An example of a KPI that I use is the amount of storage I have on my phone. It’s specific and measurable because I can see which apps/what information on my phone takes up storage. It is achievable because if my phone storage is almost full, I can delete things on my phone so that I have more space. It is relevant because I can see if I need to use my phone storage more wisely or get a phone with more storage. It is time-variant as the storage will change day by day as I add/delete things to/from my phone.
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An example of a KPI that I use is the amount of money I spend on food. It is specific and measurable because I can see an exact dollar amount of my total spend for the week and I can also break it down to individual purchases. It is achievable because I can review the amount of money I am spending, at any time of the week, and I can choose to make food rather than spend money on food. It is relevant because, as a college student, I don’t have hundreds of dollars a week to spend on food and it allows me to be more cost-effective and smart with my money. Finally, it is time-variant because I can compare weekly food spend, daily food spend, or even monthly food spend to better understand my spending habits.
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An example of a KPI that I use on a daily basis is a weekly budget on groceries or food items. It is specific and measurable due to the fact that I have a certain amount of money I limit myself to each week, and while it is the same price if for whatever reason one week I go over the normal amount that I spend I am able to pin point what product or item it was that caused me to exceed my budget. This is achievable because based off of what I purchase I can review my receipts to see if the amount was in my budget range or outside of it. It is a relevant tool for me because it is easy to get caught up in spending, and for me being a college student it is important to keep track of what exactly I spend my money on. It is time-variant because by being consistent with my spending at the grocery store it allows me to evenly distribute my money fort the entire month, so that nothing goes over what it should.
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An example of a KPI that I use almost everyday is the number of miles I run on a treadmill. Running in miles is a precise measure for distance. By running on the treadmill it is achievable because I can change the speed I run and how much I run. It is relevant, the more I run the better shape I stay in and the more endurance I build. It is time-variant because I can keep track of how much I run/how long I ran each day, and to see if I am improving.
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An example of a KPI that I use five days a week is the treadmill. There are so many things I measure while running or walking on the treadmill. Somedays I want to focus on the distance and run at least 2 and a half miles, so that’s measuring the distance and MPH. Some days I want to measure the calories so I will walk on an incline at a speed of 3 MPH on a 15 degree incline. The time I spend on the treadmill is also a KPI and I usually spend 30 minutes. My heart rate needs to stay high while running or intensely walking so that’s also a KPI. Lastly, my goal is lose weight from working out is also a KPI.
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One KPI that I see on a regular basis is the amount of diamond dollars I use in a day on campus. It is measurable because I can check my TUMobile app and see the exact amount I spent, where I spent it, and when. I can also see my remaining balance. This is relevant because I limit myself to 30 diamond dollars a week, and if I’m on track to spend more than that, then I know to bring a snack from home to campus with me. This ensures that my diamond dollars last all semester.
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An example of a KPI that I use everyday is my Wells Fargo Banking App. It is measurable because I can check the amount of money I have in my account. And I can also monitor how much I spend based off of my recent purchases. This is an important KPI to manage because the amount I can spend is limited to how much I have.
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One example of a key performance indicator that is used every day is a weight scale. It is specific and measurable: it tells you how much you weigh. It is achievable: I can set goals of how much weight I want to gain/lose. It is relevant: knowing my weight will affect how much I eat, exercise, and what I do in my free time. Lastly, it is time variant: you can check your weight, daily, weekly, or monthly.
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A KPI I use everyday would be my Citi Credit Card app. I tend to not use my debit card as much because I would like to have actual money in my savings and also build my credit score. I like to view my credit score on a regular basis to see how well and fast I am regarding with my payments. It also allows me to check and see if I am budgeting properly. For example, if I have a credit card payment approaching, I evaluate my ability to pay the payment. If I am able to pay fee right away I feel like I am budgeting well, but if I can’t make the payment, it shows me I need help with my budgeting.
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An example of a KPI that I use on a regular basis is the average time I spend studying for an exam. Its measurable using the SMART criteria like this:
Specific: How long I spend studying for the exam.
Measurable: the amount of time spent studying.
Achievable: To get the best grade possible by studying for more than usual.
Relevant: The more time I spend, the more likely I will perform better on the exam
Time: I can compare the times I study daily, or weekly. -
A KPI that I use regularly is the “miles until empty” feature on my car. It’s specific and measurable because it gives me exactly how many miles more I can drive until I run out of gas and is more measurable than a normal gas gauge. It’s achievable in the event that I want to only drive a certain amount of miles per week or fill my gas tank up to a certain amount of miles. It’s relevant because it can help me see more accurately how much I need to spend on gas to achieve the amount of miles I need per week, day, etc. allowing me to cut down my costs. And it’s time-variant because I can check how many miles I’ve gone over a certain period of time and use that to alter my driving habits in order to save money.
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A KPI that I frequently use in my life is the distance I have run on my fitbit. Though certainly not perfect it gives me a rough estimate of how much I have run which I value. This measurement is specific/measurable since it is the exact number in miles I have moved. Since I can reach my goal of about 10 miles a day I have an achievable goal set. Since I referee soccer it is particularly relevant to me since I like to know how much I run during a game. As for being time phased my distance traveled is available right after I finish reffing a game and I can track my distance over many different games and compare how much I run per game.
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A KPI I use everyday, especially since beginning my college career has been the number of things I cross off of my to-do list everyday. I keep a running list of everything I have to do, usually organized by what day i aim to have them done by and the list usually extends about a week into the future. They are specific tasks, like “MIS Reading Quiz”. Measurable, it is easy to determine how many things I have left on my list of things to do. Achievable, they are all tasks I need to complete, usually for classes so they should be achievable. Relevant, they are all relevant to my course work or basic needs. Finally time based, I usually have day marked where I need each task done by.
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A daily KPI for me would be the amount of time (minutes) it takes me to get to work everyday from when I leave my house until I arrive at the door. This KPI is specific and measurable because I can look at the time exactly that I left and when I arrived. It is achievable because I can walk faster to make the number of minutes to go down to get there at a specific time. It’s relevant because it helps me decide when to leave for work. It is also time based since it let’s me see the amount of time it tkkk me to get from place A to place B.
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One KPI I use daily is to measure my productivity using my study log hours as a gauge of how focused on school I was that day. I strive to achieve at least 2 and a half hours each day. I can elaborate even more and divide hours studied by assignments completed to find the average time I spent on each assignment. There could be outliers, but this gives me a relative gauge of how productive I was. If the average is too high I was not working diligently enough and if its low I was working efficiently.
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A KPI that I use on a daily basis is the stationary bike at the IBC, because it tracks time, distance, RPM (rotations per minute), calories, and level of resistance. For example I do, 11 miles with an average mile time of 2 minutes and 50 seconds, at an average of 95 RPMs and typically 430 calories on resistance 15. This is a great KPI because it helps me keep track of pace and allows me to see if I go up in performance or down in performance. All of these factors recorded are huge for me because being a college basketball player before I transferred here, I want to make sure that my athletic ability either goes up or remains the same but never declines.
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A KPI that I use on a daily basis is the amount of MB of cellular data that I use when not in WIFI. This is a prime example of a KPI because it is both specific and measurable. It tracks that amount of data I use each time I open a web page or app the requires an internet connection. Since I do not have an unlimited data plan each day I check to make sure that I am within my required range. This KPI allows me to stay on track each month by sending me updates as to when I have reached a certain percentage of my allocated amount for the month.
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One example of a KPI is the Data plan on my phone. So I have 5G data plan per month, and when I used 2.5GB of the 5G, I will get the text from the mobile company. They will tell me I already used 50% data of this month and when is the bill ending. That can help me not overuse data otherwise I will pay more money for the data. on the other hand, I can check the data use on my phone by my self.
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An example of a KPI is what I buy for groceries. This example is specific and measurable because I can know how many of what I buy, and at what prices. It’s achievable because I can find different sales, use coupons, and use my reward points to get better deals. It is relevant it is relevant because it impacts my budget for the week and reminds me of what I can and can’t spend. Lastly, it’s time-variant because I can buy groceries for the month, the week, or even just for the night.
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An example of a KPI I use regularly is my Focus Keeper app on my i phone. Basically, I set the app timer and it keeps track of how many minutes I was able to focus on one task. Then, my focus sessions are charted and kept track of over certain time spans.
-This example is specific and measurable because I know exactly how long I stayed focused on one task which allows me to measure accurately by time. The program is achievable because it charts all my data which helps he set goals for my next study session.
-It is relevant because it shows how much time I am putting into school work
– It is time phased because I can set how much time I am trying to achieve and the timer begins -
A KPI that i would use is BMI. BMI refers to your body mass index and can help determine your health status in relation to height and weight. While not perfect, it gives rough estimates. This example is specific and measurable because i know what i will be getting by measuring my height and weight and connecting it with a BMI index. it is achievable because i can see how i fluctuate, health wise, by following the simple steps to measure it. It is relevant because i can alter workout plans for it, and time variant because i can use it weekly, monthly or yearly.
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A KPI that I use every day is amount of time I spend doing schoolwork and studying. The purpose it serves is that it improves my grades. It is measurable simply because I am able to count the time that I spend doing it. I can set a goal in order to receive a certain grade and achieve that goal. This is very relevant to my success as a student. Lastly, the time increment can be anything I choose.
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An example of a KPI that I use in a daily basis is my personal finance & Money app in my phone. Which I use to keep tracking my spending in different categories rent, bills, transportation, entertainment, etc. For example, I know that for last month I spent a lot on transportation because I used Uber more than usual. What makes the app relevant is that it makes put a budget and spending plan for my needs in each month.
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An example of a KPI that I use on a daily basis is the amount of water I drink through my Fitbit app. It’s specific and measurable because I can measure how much water m cup hold and how much I actually drink of it. It’s achievable because I can set a goal, for example to drink 64 fl oz in a day anf I can ceck throughout the day to see if I need to drink more. It’s relevant because drinking water is good for my overall health. It’s time phased I can look to see what days I drank more water and what days I didn’t drink enough; I can also see the results for a day, a week, or a month.
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One example of KPI I use daily is the battery percentage on my phone. It is specific because it tells me as the battery falls or rises even just 1%. It is measurable because the percentage ranges from 0-100%. This is a very time based feature because if I know that my phone battery is starting to run low, I can alter how much I am using it. This usually means stopping myself from using entertainment apps and just using it for communication means.
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A KPI that I use is the number of assignments I can complete from day to day. It is specific because I am working on assignments to submit them for class. It is measurable because when I finish one, I get closer to completing all of my future assignments due. It is achievable because I am capable of completing and submitting all my homework. It is results-focused because I am working to get better grades in all of my courses. Finally, is time-bound because all of the assignments have due dates that I have to complete them by.
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A KPI that I use on a regular basis is the number of floors that I climb on the stair climber at the gym. This is a specific and precise number. It also achievable as I can change the pace I am going to get more out of the exercise. It its relevant as the more I workout, the better shape I will be in and build more strength. Lastly, it is time variant because I can keep track of how many steps/floors I climbed and for how long.
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A KPI that I use regularly would be me getting booked for gigs (I’m a DJ around Temple’s campus). Getting booked relates to the SMART criteria as the following:
Specific: Which dates I get booked for
Measurable: How many dates i’m booked for
Achievable: To DJ throughout the weekend (Friday and Saturday)
Relevant: The more gigs I get booked for the better DJ I can be
Time: How long the gigs I get booked for -
A KPI that I use regularly is the amount of emails I send on a weekly basis. This is specific because I send emails a lot due to the different programs and organizations I’m involved in, measurable because I can easily count how many emails I send/receive by looking in my Mail app, and also because I keep track of how many emails I send for each program/org to make sure I’m not sending too many each week. It’s achievable because each week, I plan out the emails I send considering the content of each email and what time I send them. It’s relevant because I use my emails to keep a thread of conversations about specific things with my team members and also send reminders, so they’re important, and time-variant because I can track how many emails I send each hour, day, week, month, etc., but I track on a weekly basis.
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So one example of KPI that I use at my job are my sales in comparison to my tips. I am a lunch bartending in center city Philadelphia. Generally a bartender/server makes in tips 18% of their sales. If my tips are more than 18% of my sales, then I know I was giving good service during that shift. If my tips are below the 18% threshold, then I know I was giving bad service. It definitely follows the SMART criteria. As it is specific part of the restaurants compensation for servers, it is measurable in dollars, it is definitely achievable, it is relevant to success of the business by bringing in my sales, its more money for the bartender and business, and finally it is over a specific shift.
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A KPI I look at is my bank account and credit account. It’s specific and measurable because I can see the monetary value in the accounts. It’s achievable because I can alter how much I spend to reserve money or work more to earn more money. It’s relevant, money runs the world. And it’s time-variant because I can look at my accounts every day over a week, etc.
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A KPI I use is my wealth. Wealth is specific and measurable as I can track how much it lessens and grows. I can set a goal for the amount of wealth I would like to gain, which makes it achievable. Wealth is commonly used to measure a persons success. I can check the results of my wealth every day, pay day, weekly, etc. which makes it time phased.
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A KPI that I often look at is the battery monitor on my laptop. It is Specific and Measurable because it displays to me both the remaining battery life expressed as a percentage and its remaining operational time. It is Achievable because I can affect and increase the remaining battery life through the available power settings. It is very Relevant, because my laptop is where I do all of my schoolwork and most of my correspondence, and without life in the battery I cannot accomplish my tasks. Lastly, it is time-variant because I can identify, to the minute, when my battery will die and adjust that projection accordingly.
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In rowing we use our times on the ergs to determine our performance. It is specific and measurable because it is down to the tenth of a second and the lower your time is the better. It is also a pretty good indicator of how you will do on the water, usually. It is achievable because with enough work you can get your times lower and be faster. It’s relevant due to the fact that this is one of the very few ways to determine the ranking of rowers internally on the team. It is time variant because during a piece I can look over at who is next to me during a workout and adjust my splits accordingly.
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Here is the exercise.
And here is the spreadsheet to complete the exercise [In-Class Exercise 8.2 – OnTime Airline Stats [Jan 2014].xlsx].
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 7 years ago
Here is the exercise.
And here is the spreadsheet to complete the exercise [In-Class Exercise 8.2 – OnTime Airline Stats [Jan 2014].xlsx].
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Subject:
Airbnb Data Set
We are going to analyze data about Airbnb’s in different cities and compare the results of the cities each of us choose. Each person will choose one city as there are thousands of rows of data per city.
Group Members:
Nicholas Griffaton
Zach Delphais
Kate Sliwinski
Subject: Which Big 5 Philly School has the Safest Campus?
Members: Vanessa Ioannidi, Zach Burkhardt, Jacqueline McCarrik, and Jeffrey Angstadt
Subject: We will be focusing on the amount of crime that occurs around schools. We will compare the same types of crimes, and look at the different factors that affect the crime rate.
Members: Raghad Ayoub, Rami Aboud, William Wrobel, Luke Reynolds
Subject: Complaints against the Philadelphia Police Department. We are going to analyze the lack of service, abuse, and unprofessional conduct of the department. We will also be analyzing each summary of the event that was filed.
Members: Kieragh McMenamin, Jessie Turner, Bennett Sigourney, Preston Monah, Adam Scalfani.
Subject: We are going to answer the question: Who is the best statistical NFL player to play the quarterback position. We will compare numerous key statistics, such as: QBR, passing yards, interceptions, etc. to answer this question.
Members: James Villani, Brandon Weiss, Noah Clay, and Shabbir Lageli
1. TED Talks datasets, we’re analyzing the most viewed and most favorited Talks of all time? the TED main dataset contains information about all talks including number of views, number of comments, descriptions, speakers and titles dating from 2006 to September 21, 2017.
2. Members:
Jasmine Rogers
Bosung Park
Phoebe Davidson
Hansel Tan
Devon Hill
Subject: Black Friday deals vs. Cyber Monday deals
Members:Tracy Glova, Kayla Cohen, Courtney Wilson, Kourtney Thompson