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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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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 spreadsheet you’ll need to complete the exercise [In-Class Exercise 4.2 – FoodAtlas.xlsx].
Make sure you right-click on the Excel file link and select “Sa […]
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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 spreadsheet you’ll need to complete the exercise [In-Class Exercise 4.2 – FoodAtlas.xlsx].
Make sure you right-click on the Excel file link and select “Sa […]
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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 September 26.
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, 10 months ago
Some quick instructions:
You must complete the quiz by the start of class on September 26.
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, 10 months ago
Here is the exercise
Here are the links in case you cannot click from the document.
History, Economics and Social Issues
Science and Health
English, Fine Arts and Entertainment
Remember to […]
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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
Here are the links in case you cannot click from the document.
History, Economics and Social Issues
Science and Health
English, Fine Arts and Entertainment
Remember to […]
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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 assignment.
Here is the worksheet as a Word document to make it easy to fill in and submit (along with your Tableau file).
And here is the data file you will need to complete the assignment […]
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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 assignment.
Here is the worksheet as a Word document to make it easy to fill in and submit (along with your Tableau file).
And here is the data file you will need to complete the assignment […]
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Laurel Miller wrote a new post on the site INDUSTRY EXPERIENCE IN MIS-FALL 2017 6 years, 10 months ago
For the powerpoint outline you may submit to me a one page word document basically listing what you will cover in your powerpoint in bullet format. Your draft then will be your rough slides in powerpoint.
Let […]
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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 September 19. The quiz is based on the readings for the whole week.
When you click on the link, you may see a […]
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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 September 19. The quiz is based on the readings for the whole week.
When you click on the link, you may see a […]
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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
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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
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Laurel Miller wrote a new post on the site INDUSTRY EXPERIENCE IN MIS-FALL 2017 6 years, 10 months ago
I hope everyone is learning a lot in your internship. Here is question #2. Please comment on this and feel free to respond to other’s comments as well.
What are some of the important things that you had to […]
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Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
In class we talked about a few examples of open data. Here are some others:
Business: data.gov’s “Impact” section
Science: The Genomes Unzipped project
Government: New York City parking viola […] -
Laurel Miller wrote a new post on the site MIS 0855: DATA SCIENCE FALL 2017 6 years, 10 months ago
In class we talked about a few examples of open data. Here are some others:
Business: data.gov’s “Impact” section
Science: The Genomes Unzipped project
Government: New York City parking viola […] -
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 14. 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://fortune.com/2017/09/07/barnes-noble-books/
This article deals with Barnes and Noble book store, and how it is falling behind its competitor, Amazon, in sales. The article includes a graph which shows that sales compared to last year have gone down -6.30%. I find this extremely interesting because Barnes and Noble is my favorite store. In order to combat their decline, many have suggested changing their platform. Additionally, they have been adding cafes and eating areas in several locations to attract business. Hopefully, the store will be able to solve their problems and eventually match their rival. -
https://www.forbes.com/sites/robertberger/2017/09/10/equifax-hack-how-to-protect-your-credit-and-identity-if-your-data-was-compromised/#6a7e491327ea
I find this interesting because it is a huge wake up call that encourages me to be more conscious about which companies I choose to do business with because if they can’t protect my data, that is a big problem. Furthermore, I wonder what the consequences of all this alleged stolen data will entail not just for the consumers but for the company that got breached. It goes to show that data should not fall into the wrong hands because lives can be ruined forever. -
https://www.theguardian.com/technology/2017/sep/08/equifax-hack-credit-social-security-helpline-response-criticism
I found this article interesting because it reminded me of the Ashley Madison hack that we talked about in class. Equifax has personal information that can lead to identity theft and potentially destroy people’s life as the Ashley Madison hack did. Equifax did not handle the breech correctly either. They waited to notified customers when the hacks happen on July 29. We give sensitive data to companies hoping that it will not fall in the wrong hands of people but we cannot trust the sites we give our data to because they do not protect the data well enough. -
Because of the recent hurricane and weather disasters I have recognized the major increases in gas prices nationwide. I wanted to see the underlying factors that actually cause these usually steady prices to become so volatile so quickly. What I learned is that, in this case, it was more about the location of the hurricane. Texas is one of the biggest oil producers in the country, and several of their manufacturers were hindered by the storm. Therefore, if the storm took place somewhere else, the gas prices clearly would not have been effected to such a large extent. Ultimately, the effects of this storm will be felt nationwide for weeks to come. -
This article goes into depth about a recent breach which saw hackers access customers data through an accounting firm. Since I am an accounting major I found it very interesting how the data I will be working with in the near future can be so important. I also found it very interesting that with only one hack many clients are now susceptible to damages involving their credit and their accounts. Hacking is a dangerous thing and can be harmful to many people.
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https://www.theguardian.com/commentisfree/2017/aug/31/tough-on-crime-prisons-crisis-prisoner-numbers
This article focuses on the need for change of prisons. Over the past few years, prisons have become extremely overcrowded, understaffed, and underfunded and it has to do a lot with offenders being sent to jail for more years than what their punishment for the crime should be. Since I am a Criminal Justice major, I found the article to be very interesting since it goes into details and gives data about all the information that goes with why and when there has been an increase in the number of prisoners in prisons over the years. -
https://www.wired.com/story/apples-ios-11-will-make-it-even-harder-for-cops-to-extract-your-data/ This article by WIred.com tells of Apple’s reinforcements to its new iOS software that will make it even more difficult for police to seize data. Recalling the “FBI standoff” Apple faced over the seizure of the San Bernadino shooter 2015, the article mentions even more displeasure from the law enforcement community about how this software update will make investigations even more difficult. I found this article interesting because data privacy has been an increasingly important topic over the past few years.; the debate of privacy vs. protection is always very intense and very circumstantial.
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https://www.wsj.com/articles/media-agencies-lower-global-ad-spending-forecasts-1505156732
(Wall Street Journal, “Media Agencies Lower Global Ad Spending Forecasts”)Major media buying agencies expected that the spending for global ad will decrease in 2017 and 2018. GroupM lowered its growth expectation from 4.4% to 3% and Zenith lowered its expectation from 4.2% to 4%.
This data was interesting to me because the cause of this data is related to political and economic issues of leading countries of global society. China was the best contributor of ad industry but the economic growth of China has declined a lot comparted to the past. I thought the growth rate of Chinese economy might be over 7% even for the next 5-7 years but it has slowed down. It was so amazing that just one country can impact certain part of global economy.
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http://www.washingtontimes.com/news/2017/sep/10/robert-muellers-donald-trump-investigation-hints-a/
What is interesting to me about this article is the actual work being done to investigate the supposed financial crimes. I’m currently hoping to use my accounting and legal studies majors to specialize in forensic accounting or detecting financial crimes. This is the kind of work I hope to be one day doing working for the government. The way this ties in with data is that every financial statement or record of the Trump family’s financial history contains data. All of the balance sheets contain the amounts of certain assets his company’s hold, each statement of cash flows shows what he has been investing in, what expenses he’s had, and HOW he has financed his operations (has he accepted money from Russians to fund his businesses or campaign). -
https://www.theguardian.com/us-news/datablog/2017/jul/02/us-healthcare-broken-system-one-chart
The article I found focuses on the cost of healthcare in the U.S. compared to other nations, as well as relative life expectancy. Our healthcare is among the most expensive in the world, both to the government and the individual. To most, this may not be surprising due to the focus on healthcare in the recent election cycle. However, the data provided in this article also shows that average life expectancy in the U.S. is low, especially compared to other highly developed nations similar to our own. This trend has been present since the year 2000. This is likely a result of a malfunctioning system, as we have access to most, if not all cutting edge tech in the medical field.
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This article goes in depth and discusses how Apple’s sales for almost all their products have finally gone up in Quater 3 in 2017. It also discussed the quantity of how many products they sold compared to previous years and quarters and how they have gone up and the growth of their average selling price of each product. An example is Apple sold 41.026 million iPhones in Q3, which is up 2 percent compared to Q3 in 2016 and the average selling price of an iPhone is now $605.62, compared to last years ASP which was $595.26. I am currently an International Business student, so looking at how big companies such as Apple that have been dominating the tech industry for almost a decade and their constant changing sales interest me, and how they may go down for a year or two but eventually do go back up
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https://fivethirtyeight.com/features/amazingly-the-indians-are-even-better-than-they-seem/
As an avid baseball fan this article is something that I would enjoy reading for pleasure, even outside of this assignment. It discusses the Cleveland Indians and their historic 21 game win streak, tying the all time MLB record. This article, however, discusses how the Indians are even better than that win streak leads one to believe. It takes data and statistics, such as predicted run differential predicted vs actual records, to show that despite their record, they have actually been quite unlucky, as far as data is concerned, losing six more games this season than predicted by those statistics. It also compares the team to the 2001 Oakland Athletics, the team with the second longest win streak of all time. The article uses data from both team’s seasons to discuss who truly is the better team. I find this extremely fascinating, as baseball is becoming a more data based game by the day. -
https://fivethirtyeight.com/features/what-100-year-old-hurricanes-could-teach-us-about-irma/
With all of the recent devastating hurricanes happening in our country, its interesting to see just how they compare to past hurricanes that have been just as catastrophic. Scientists are using data collected from previous hurricanes in past years to compare them to the likes of Hurricane Harvey and Hurricane Irma. Data is so essential in predicting how large of an impact some of these upcoming hurricanes will have on our country. With data that had been collected in the past, we may be able to predict patterns in the storms, longevity, and also expected damage. This article also dives into how we may be able to connect these recent hurricanes to climate change, and how there may be data to back up this claim. Its certainly an interesting topic that many people are going to want to keep an eye on.
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https://fivethirtyeight.com/features/students-at-most-colleges-dont-pick-useless-majors/
The reason why I chose this article is because with rising costs of higher education, there is a huge discussion on why students chose the major they do in college and if that major can translate into a job once out. Most people will say, “Choose a degree that is worth something like business, engineering, law, etc.” I think it was interesting to learn that in both the less selective colleges and the more selective college’s degrees relating to business, management, and marketing were ranked 19.3% for less selective and 9.8% for more selective colleges. -
https://www.bloomberg.com/view/articles/2017-09-13/facebook-and-google-show-us-your-ad-data
For this weeks article, I chose to read on titled “Facebook and Google, Show Us Your Data”. The purpose of the article was to express to the world how companies such as google, amazon, and facebook, use the data that the collect for advertising efforts towards other things. For example, the data information is often used in political ways. To me, that is very interesting because I never thought of such companies as being a political powerhouse, but it makes sense. As an ad major, data collection is very important for decision making targeting, however, there are many instances where it can be misused for unintended influence. -
For this week’s articles, I choose “Flying to US to get an iPhone X is cheaper than buying in Europe. It’s also illegal” It is similar to how my friends and family who live in Indonesia would go shopping for electronics in Singapore. It is because products would be cheaper to buy overseas. Rather than spending double the amount of taxes, part of that money would be useful for the plane ticket and the hotel stay charges. I have several European friends who told me that, “Tourists receive discount at almost every store in the small and when they exit US, they have the ability to do an “exit tax” which means that they will be refunded for all the taxes they have paid for everything purchased while in America.” This article shows the budget break down of traveling to US and buying an Iphone. One person is likely to buy more than 1 Iphone during their visit to America and sells it back in the UK, due to this price gap.
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http://money.cnn.com/2017/09/13/technology/iphone-x-face-id-security/index.html
Apple releasing their new iPhone X has a lot of people talking. It is simply amazing how in November people will be able to unlock their phone through facial recognition. Biometric recognition is data itself. Being able to use your phone with FaceID and fingerprint sensors enables one device to have the capability of carrying a plethora of data. Apple definitely stepped up their game amongst their Android competitors. I came across this article simply because I wanted to understand if FaceID is secure, then realizing all the data the iPhone stores through facial recognition alone opened my eyes to the topic of this question.
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https://fivethirtyeight.com/features/has-nfl-play-gotten-worse-or-is-it-just-you/
We learned in the first day of class, that data is everywhere. That is exactly what I liked about this article – it was about the most random thing but it was actually relevant to my life. Unfortunately, I am a Giants fan. If you click the first link, it shows data from the quarterback Eli Manning being really reliable to mediocre from being one of out only ten quarterbacks in NFL history to start 200 games to having 27 interceptions in the 2013 season.In the article, it compared Manning to other quarterbacks (retired and active) including to his brother, Peyton Manning. This part gave me somewhat hope for Eli and the Giants because we all know that Eli’s time in the NFL is coming to an end sooner than we think, because it stated “… all played some of their most efficient football very near the end of their starting career”.
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http://www.miamiherald.com/news/nation-world/national/article184726473.html
This article describes a study that was done by uses smart phone data to see if the election and politics were ruining Thanksgiving. They wanted to know how long Thanksgiving was for people of mixed political parties. They used a software called Safegraph that is a location tracker and they watched where people were between certain hours. Their results showed that Thanksgiving was cut much shorter than it has been the past couple of years. It is relevant to now because the time may be even shorter this year. -
https://www.reuters.com/article/us-crown-resorts-lawsuit/shareholders-sue-australias-crown-resorts-over-china-marketing-idUSKBN1DY028
This was cool to read about what kinda things are going on in the world of business, especially in regards to stocks. Here, Crown Resorts gets sued for not informing shareholders of a marketing campaign. They use data all the time, driven by the stock market they analyze price differentials in order to maximize profits. -
This article discusses the Business Intelligence and Analytic Trends for 2018. Obviously, we are still in 2017, however, in this article it discusses what the projected trends in analytics and business intelligence are. One of the main points are the rise and growth of data analytics, as it is becoming more ingrained in our society and wold every day. Another point is that market size is rapidly changing and how we react to it is key over the next year or so.
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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 14. 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/hurricane-harveys-impact-and-how-it-compares-to-other-storms/
This article discusses Hurricane Harvey’s impact compared to other storms. I found it to be interesting because seeing visual representations of how each storm compares with others really puts into perspective how bad these storms are. For instance, Hurricane Katrina was the biggest and most destructive hurricane, whereas Hurricane Harvey luckily wasn’t as large and didn’t cause as many deaths, yet, they were the two highest costing storms of all. I feel like we think of the destruction caused by these storms but never how much was actually destroyed and how much it is going to cost to replenish what was lost. As an accounting major, I found that this article was relevant to me because of the comparison of financial aspects.
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https://www.cbsnews.com/news/all-living-former-presidents-team-up-for-ad-on-harvey-relief/
This article speaks on the latest ad launched by the former presidents of the U.S, Barack Obama, George W Bush, Bill Clinton, George H.W Bush and Jimmy Carter in an attempt to reach out to Americans to donate to relief efforts for Hurricane Harvey. I found this article interesting because it provides amounts of money presidents have contributed in order to help, the ad that was launched, as well as all the information needed to donate to the One America Appeal. As an Advertising major, I found this article to be relevant to me especially, because of the ad itself and the impact of having not just 1 former president but all five. By doing this they reach all audiences across America, with the hopes that when someone sees 1 president they really liked over the other four it may sway them to donate. -
http://time.com/4930134/donald-trump-hurricane-harvey-donations/
The data in this article shows how much money President Trump is donating to Hurricane Harvey relief, and where he is donating to. I found this interesting because as a Political Science major,I know that natural disasters can often be the black eye of a presidency. A president cannot control hurricanes or earthquakes, although he or she can fund climate change research to find out what is causing them, but they can donate to help. Donating, acknowledging the victims, and being supportive to the areas affected can really improve a president’s approval ratings. During Hurricane Katrina, former President George W. Bush failed to do these things, and was subsequently criticized by his constituents.
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https://www.theguardian.com/money/datablog/2017/jan/06/tracking-the-cost-uk-and-european-commuter-rail-fares-compared-in-data
This article describes the tracking costs workers spend on rail passes in the UK and Europe. The data in this article shows that traveling costs can cost as much as 14% of their wages for monthly rail passes. Data shows that the UK spends 10%-14% of their average monthly wages while other countries in Europe spend as little as 2% up to 7%. I found this article interesting as an accounting major because it deals with budgeting and tracking employees expenses on traveling to their sources of income. Although the percentages are high for traveling, it is better to spend only 14% of pay on transportation in order to get to your job. The workers can now allocate these percentages to their monthly income which will ultimately help them with their budget so they have enough money left for other expenses. -
http://money.cnn.com/2017/09/07/technology/business/equifax-data-breach/index.html
Over the past week a huge data breach occurred within the company Equifax. Equifax is a credit reporting agency in the USA. When the breach occurred, cyber criminals were able to access financial information such as credit card and social security numbers from over 140 million customers. In the article, security experts urge customers to continuously check their bank statements and credit card records. As an accounting major and a mis minor this article is particularly interesting to me because I plan on one day working within both the financial and cybersecurity field. This type of breach is a monumental data breach that will affect many people’s financial situation for years to come.
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The url :https://www.informationweek.com/big-data/big-data-analytics/hurricanes-risk-analytics-in-a-world-of-uncertainty/d/d-id/1329816
This article discusses about how all the data available regarding hurricane disasters were used to estimates the loss from the upcoming devastating Hurricane Irma. My major in Actuarial Science involved in creating models that can predict and estimates any scenario that can incur loss. Related to the article, actuaries used the data to estimates the potential loss from the Hurricane Irma. It is also interesting that even with the latest software, the article said that their estimates might not still that accurate as there are still outliers needed to be considered based on their past experience. All in all, data from past catastrophic event is still not enough to predict what might happen in the future. -
This article is very interesting. It’s an analysis of who people tend/are more likely to marry based on their specific occupation. The article makes an interesting point that you’re more likely to marry people in your specific profession because those are the people you are exposed to most often. The article derives information from a survey given to married and unmarried couples. There’s a really cool and interactive graphic in the article too! -
The article I found about data is from the New York Times regarding the recent Equifax data breach. This data breach is significant as financial information of as many as 143 million Americans has been leaked, including Social Security Numbers, names, birth dates, and more. As Equifax’s main function is to store the financial data of its’ customers, this hack is quite ironic; they failed at their one main job. This relates to my major, Information Science and Technology, as one of the large divisions of IST jobs is network and data security. Overall, this hack is quite troubling for a company whose main job is to protect their customers’ information.
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This top of this article displays a map of the United States, and a key of the nine most dominant pizza chains in America. The point of the map is to show the nearest pizza place within a 10-mile radius across the United States. From a national perspective, Pizza Hut is the most dominant. Domino’s trails right behind it but lacks locations in the Midwest. Godfather’s is the most popular in the Midwest, while Papa John’s dominates the east central area, Papa Murphy’s dominates the northwest, and Little Caesar’s shows strength in Michigan and California. Although Chuck E Cheese’s has 557 locations across the united states, it does not compete with the other chains. I found this information relevant because it allows me to have a good understanding of which pizza place is closest to me, regardless of where I am in the United States.
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This article highlights the ratio between wages and tips and showcases the disparity of tips across the US. As an Accounting major, I found this article particularly interesting for its economic aspects. It is common knowledge waiters and waitresses rely heavily on tips to sustain a living. It’s interesting to dive deep into the data and see just how much of an impact tips really make. Also from a tax standpoint, I’ve been curious as to how the IRS regulates this. One can be certain that not all tips are reported, and if they are, it is never the exact amount. -
https://fivethirtyeight.com/features/what-100-year-old-hurricanes-could-teach-us-about-irma/
This articles discusses the impacts of hurricanes of the past. It talks about how scientists don’t know much about the causes of the hurricanes of today precisely because of the LACK of data about hurricanes in the past. Often times, hurricane databases would collect and tally hurricanes, but the form of collection would be flawed because it would not include every hurricane that hit the shore. Hurricane databases of the past would only record hurricanes that people have seen at sea, or ones that hit weather stations. It is hard to fill gaps in other aspects of environmental data, such as temperature or the impact of greenhouse gases in climate change,
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https://www.bloomberg.com/news/articles/2017-09-11/amazon-s-whole-foods-price-cuts-brought-25-jump-in-customers
This article discusses the impact Amazon’s acquisition of Whole Foods has had on the price of their groceries, as well as on other grocery chains. Amazon bought Whole Foods for $13.7 billion and immediately began cutting prices “by as much as 43% on a range of items”. The article explains the buzz Amazon has brought to Whole Foods by comparing the chain to another popular supermarket, Kroger. One of the statistics the article highlights is the 35% increase in shoppers in Chicago locations. Whole Foods is making drastic changes and its influence is being felt by local and already existing supermarkets across the country. -
The article I found tittled, “Which countries are the most (and least) committed to reducing inequality?” focused on providing data that shows countries that are either the most or the least committed to reducing inequality. The article talks about how measuring this information can be complex, so in order to do it accurately they needed to look at three key factors relating to to inequality such as spending on health, education and social protection, progressive structure and incidence of tax and labour market policies
to address inequality. Within the article, it lists the top 5 for most and least of each key factor and provides a visual representation as well which makes it more helpful to understand what countries are involved and where they are located as well. -
http://abcnews.go.com/Technology/wireStory/lawsuits-gestures-customers-equifax-data-breach-49805055
This article is about the recent data breach from Equifax (a collection agency). This article is interesting because we talked about other data breaches in class and this one is very recent. Equifax is receiving new lawsuits after releasing social security numbers of over 143 million Americans. State and Federal authorities are investigating.The breach makes me question if there really is privacy. As an actuarial science major, I will also be working with people’s private information in order to create insurance rates. I hope the data I will be using will stay private for everyone’s sake. -
http://www.football-data.co.uk/englandm.php
This article has everything you need to know about every English soccer game from 1993-2017. The data sets are broken down between seasons as well as between the different leagues each game is played in. There is a free downloadable link that you can click on for each individual year’s league which will take you into an Excel spreadsheet with so much information regarding each game played, including the two teams names, the date the games were played, the referee’s name, and so much more. I chose this article because I really love playing soccer and have played most of my life, including playing for the women’s club team here at Temple.
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https://fivethirtyeight.com/features/irma-is-bearing-down-on-some-of-floridas-most-vulnerable-residents/
This article is about how Hurricane Irma affected some of the most vulnerable people in Florida. The article describes three populations that were greatly affected by the superstorm: migrant workers, those living in mobile homes, and those 65 and older. The article is interesting because it uses data to analyze which parts of Florida are most heavily populated with people falling under these categories. In some areas more than 40% of the population lives in mobile homes that are weak and could be heavily impacted by the storm. Similarly, the article talks about how the population of 65 and older in Florida is higher than in any other state (almost 20%). Using this data, the state government of Florida and first responders can pinpoint what areas they should most heavily advocate for mandatory evacuation in the future and which areas they should go to first to help those in need. -
http://www.chicagotribune.com/sports/football/ct-hurricane-irma-nfl-tv-ratings-20170911-column.html
The article I found builds on the dropping NFL ratings and how hurricane Irma may have affected that. Last year the NFL suffered from a huge drop in ratings and they hope to recover but after the inaugural game of the season, they are still trending down. This may have been because of hurricane Irma because over two million people were watching coverage of the hurricane during the Chiefs and Patriots game Thursday night. It will be interesting to see how the ratings pan out over this season, the sport Goliath known as the NFL may be declining. -
This article is about how America’s shifting religious makeup could affect both the Republican and Democratic party. The first reason i found this interesting is because i am a Political Science major and this could have monumental effects on political campaigning within the coming years. I also found this interesting as a Catholic, because even during Church i noticed there were frequently less “younger” people attending. But i did not realize, or even think, about how it could affect political gain for each party. I also found it interesting, when the article pointed out that the Democrats will have so many people to please that it is inherently challenging, With such a change in the political expectations within this past election, the role of religion seems to be the next major change to come.
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https://fivethirtyeight.com/features/what-100-year-old-hurricanes-could-teach-us-about-irma/
This article above explains how the hurricanes form. It also tells us what we know about the article and how history could, in fact, be repeating its self. This article caught my attention because by knowing the statistics of the previous hurricanes it can tell us what to expect. The result of all this data makes it easier for scientists to spot climate change related patterns in the temperature. With this, it helps us know the information we need about hurricanes in the future.
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https://fivethirtyeight.com/features/what-100-year-old-hurricanes-could-teach-us-about-irma/
This article explains how looking at historical data of hurricanes. Most people think that the rise in climate and heat leads to stronger, more frequent hurricanes. However, looking at the last 100 years of hurricanes, there is actually no correlation between the two. In fact, the rise in water level makes hurricanes more likely to happen. -
https://www.cbsnews.com/news/equifax-data-breach-how-to-protect-your-credit-rating/
This article was about the recent Equifax data breach, which resulted in leaked personal information such as, name, social security numbers, credit card numbers, and even license card numbers. The article gives helpful advice about how to go about using Equifax in the future and ways of protection against this happening again. They even have a section of what to never do, such as, use email as login and to also never log into account while being on a wireless hotspot. While this does not appear to my current major of philosophy, I do find this quite interesting being that I use to be a computer science major back at Moravian before I transferred, and it also is interesting being that I want to do corporate law and emphasizes how a hack can result in loss of personal information, resulting in lawsuits of the people towards the company.
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https://www.theguardian.com/business/2017/sep/09/apple-iphone-8-one-trillion-dollar-question
This article has to do with Apple and a big week they have coming up. The iPhone 8 is scheduled to be released on September 12th, which could help Apple become the first trillion dollar company. A share price graph in the article shows how much Apple has progressed since January 2007 and how close they are from becoming the first trillion dollar company. As a supply chain management major, supply is always a concern when a new product is released but the company doesn’t seem worried. -
https://fivethirtyeight.com/features/students-at-most-colleges-dont-pick-useless-majors/
This article takes a look at a common criticism thrown at many millennials in higher education, that they are wasting their money on “useless” degrees. “Useless” could be easily defined as less practical majors that provide students with careers that pay less than it cost them to get the degree in the long run. However, after analysis it seems that students overwhelmingly are enrolled in practical and “useful” majors, and that it is often how selective the school is that determines ones success within paying off their degree. This seems logical as most people desire to get into more selective schools and supports what I have anecdotally seen in my time here at temple, most people are highly interested in getting a good paying job when it’s all over and aren’t here to waste money. -
This article is talking about the dilemma of legal abortion in Australia. Campaigns for easier access to abortion in Australis can make the law have changed, but abortion still too hard to help those women who are homeless or low income. the point is the high price for the abortion. The cost of an abortion varies according to state, location, the method of termination and gestation. In Australis, the price range is 500-800 Australi dollars. After the first trimester, costs increase significantly.
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https://www.nytimes.com/interactive/2017/09/01/upshot/cost-of-hurricane-harvey-only-one-storm-comes-close.html
This article shows the cost of Hurricane Harvey. While it is too early to know the exact number, experts predict it will cost somewhere between $72-$108 billion. This is interesting because there is also another graph in the article that shows the amount of billion dollar disasters since 1980. As the years have passed, the amount of billion dollar disasters has drastically increased. Some are saying that this graph speaks on the fact that climate change is real and that the number of these billion dollar disasters is only going to keep increasing. -
https://www.theguardian.com/business/2017/sep/12/america-income-high-census-2016-obama-recession
This article shows growth in the American Economy. The data shows that households are making more money every year. Also shows that poverty is on a decline. It’s interesting because we have reached record peaks with a president a lot of people dislike and say had little impact. He has data behind him to show he is a big part of the climb out of the previous recession we experienced even although he was years after it. Another thing is that more and more Americans have health insurance and that also has data behind it. Im in between a major in finance or economics so the article headline drew me right to it. -
So I am a Marketing major with a MIS minor so anything with data will be in my field. I read this really interesting article at fivethirtyeight about how Hurricane Irma will affect some of the most vulnerable residents in Florida. Those vulnerable residents are referred to as elder and poor people. It was just very interesting that they analyzed where these types of residents lived.
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I am a Media Studies and Production major so I chose an article on news use across social media platforms in 2017. I found this article interesting because it shows how many adults in the United States use social media to get their news as opposed to reading a newspaper or watching the news on TV. It also shows that over half of Americans over the age of 50 get their news from social media sites as well. This is somewhat surprising because this age group did not grow up using Facebook, Twitter, and other social media sites but they are clearly making the switch of how they get their news. -
https://www.eff.org/deeplinks/2017/09/data-protection-measure-removed-california-values-act
Here is an interesting article about data protection that has been revoked in the state of California. After the recent election, a rights group helped construct a bill that protects data collected by the government in regards to immigrants and does not allow this data to be used for deportations and religious registries. This bill was to stop federal immigration authorities from using data collected by California law enforcement. This however was cut from the final bill due to negotiations between the California state senate. The bill still protects immigrants in other ways however their data rights are up in the air -
https://www.theguardian.com/us-news/2017/sep/07/equifax-credit-breach-hack-social-security
I found an interesting article about the Equifax credit hack that happened last week. The hack exposed the SSN of 143 million Americans and the personal information like birthdates, addresses, and credit card numbers. This is very sensitive information because they can destroy peoples’ identities with this kind of data they possess. This information was stolen from about 60% of adults in America, I found it interesting because who knows if anyone in our class was part of that data breach. This makes it scary that literally nothing is safe out there. Hackers can get to anything.
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https://www.theguardian.com/commentisfree/2017/sep/08/why-do-big-hacks-happen-blame-big-data
This article talks about Big Data and how detrimental it can be when the wrong people get their hands on it. I am an MIS major, so this has very much to do with my major and I am fascinated with Big Data because it is the future of business. What was interesting about this article is that it states the idea that the amount of data that companies can collect should be limited because they keep getting hacked, and all this information keeps getting into the wrong hands. It then goes on to list some examples of big hacks over that past few years. One of the last interesting things I read in the article was that the more we allow these companies to collect data, the worse the hacks are gonna become. Advanced cybersecurity is not enough anymore. -
https://fivethirtyeight.com/features/surviving-a-big-storm-doesnt-mean-the-trauma-is-over/
This article discusses the unpredictable effects that disasters such as hurricanes can have on the mental health of survivors. A study after Hurricane Katrina showed that reports of headaches and migraines among the population affected increased from 19% to 56% within 19 months after the storm. Chernobyl is also used as an example; stating that while it was estimated that only approximately 4000 people’s lives would be affected by exposure to high levels of radiation, nearly all of the 350,000 who were displaced believed that their lives would be shortened because of the public stigma around the accident. This stigma resulted in much higher rates of depression, alcoholism, and other mental health issues among survivors of Chernobyl than the general population.
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URL: https://www.sciencedaily.com/releases/2017/09/170905145548.htm
This article settles the debate between cell phone use and neurological problems in children. As we learn more about the technology around us, many people create ideas that this technology, radioactive waves in particular, are harmful to our mind and bodies. This research shows no support of the hypothesis that the effects on child’s language, communication and motor skills is due to the use of mobile phones during pregnancy. This article is relevant to my major because as communication studies major, technology is a huge part about how we communicate with each other and mobile devices are where we see most of our advertisements for businesses throughout the day. When people start fearing that their cell phones will create neurological problems in their children, they will be hesitant to continue using their phones and advertisers will lose viewers of their ads and therefore have less people buying their products or services. -
This article is about one of the biggest films in this year. It is about the film Dunkrick, by Benjamin B. I’m a film major student, so these article are really interested to me. The writer talked about the experience of the film. He also mentions how the film had been shot and which different cameras did the director used to shoot it. Benjamin also evaluated the film in terms of visual storytelling and how the director makes the image speaks other than using dialogue to deliver his missage.
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This article addresses how South Korea has opened a physical cryptocurrency exchange that supports 6 cryptocurrencies including, BTC, BCH, ETH, ETC, XRP, and QTUM. The exchange not only allows people to purchase cryptocurrencies, but it also has consultation services. As an international business major, this article was interesting because it shows how another country is adapting quicker than America in regards to recognizing the potential of cryptocurrencies. If you had invested $100 when bitcoin was priced at .003 cents 7 years ago, then you would have about $130 million dollars today. As of now, 1 bitcoin is worth $3912. -
Considering my major is undecided, I thought the smartest thing to research was information on college majors. I found a listing of the “10 Best College Majors for a Lucrative Career” and some of the data was quite interesting and surprising to me. The first thing they tell you, which was added motivation not to drop out, is that a worker with a bachelor’s degree typically earns two-thirds more than someone with just a high school diploma. The top ten from ten to one are as follows: finance, actuarial mathematics, physics, business administration, management information systems, computer science, mechanical engineering, civil engineering, biomedical engineering, and nursing. Almost every major is either business or engineering of some sort. Each major also has an average starting salary of more than 50,000 dollars. The site includes data about annual online job postings, related jobs, and projected 10-year job growth, for each major. I thought that data was important when deciding on a major. However, the only thing that was a let down based on this information was that I do not have a specific interest in any of the majors listed.
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This article is about the pricing of Apple’s new smartphone, the Iphone X. For the first time, since the release of smartphones, this phone will cost over $1000. There’s a chart in the article that compares smartphone sales in different countries and it shows that android is leading in sales in all of the countries. So with a $1000 phone being release now, i wonder if sales for iPhone will be lower even more especially in developing countries.
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Every NFL Football Now Has a Data Tracking Chip for Improved Game Statistics
The NFL has partnered up with Zebra Technologies and Wilson Sporting Goods to insert microchips into footballs used during games to collect data. Some of the data that will be collected will include the location, ball rotation metrics, and speed. In the past, the NFL has used microchips inserted into players’ shoulder pads, but decided to add it to footballs to collect more data on what happens during a game. NFL coaches will also have access to this data to make a plan on how he or she will train the players based on their strengths and weaknesses. In addition, in the past when kickers kicked field goals, referees had a difficult time using the human eye when the ball went through the crossbars to decide if a kick was good or not. So, with the microchips inserted into the footballs, the referees can now use the previous location data collected from the football kicked to decide if the kick was good or not.
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https://fivethirtyeight.com/features/which-cities-share-the-most-crime-data/
This article analyzes which major cities in America share the most crime statistics with its inhabitants, and which do not. The author goes over different kinds of data that each city might make public, such as 911 calls, victim injuries, gang involvement and everything in between. The conclusion reached by the author is that those cities who release the most crime statistics to the public are the smartest, as releasing this information to the public allows the inhabitants of any particular city to better know the areas that could potentially be dangerous, and what they can do to be safer citizens.
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https://fivethirtyeight.com/features/forecasts-have-done-a-good-job-predicting-irmas-shifting-path/
This article shows a 5 day forecasted path of Hurricane Irma and how it’s path changed. The data shows that Hurricane Irma’s path shifted, messing up previous predictions of it’s location, time, and wind speed. I found this article to be very interesting because it gave the reader the exact numbers of how off the predictions were. Thought it was neat how they can track the path of a hurricane and give an estimate of the wind speed. Being able to track storms 5 days in advance is very helpful and gives the people being affected by it time to prepare/evacuate.
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Blockchain promises it can protect everyone from DDoS attacks and data tempering, prevent voter fraud, speed up transactions, reduce costs, and enforce transparency and auditability. Many cases of huge data breaches such as this week with Equifax show the the risk and exposure people today face. This article really fascinates me because a lot of purchases can now be processed through blockchain currency and many of the top big companies including google and facebook have already invested millions and billions into blockchain and tech start ups. Technology is evolving quicker than ever and this is just an example of it.
How blockchain will finally convert you: Control over your own data
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http://www.govtech.com/data/The-Case-for-Cross-Silo-Data-Defending-Children.html
This article is interesting to me because it discusses how it would be a good idea to share data between different agencies like the Police Department and hospitals and Human Services, to protect vulnerable children from abuse and neglect. It relates to me because I am a Social Work major and although I plan to work with older children, I am also interested in maybe working as a hospital social worker at first.
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http://www.zdnet.com/article/france-tells-whatsapp-to-stop-sending-user-data-to-facebook/
France has ordered WhatsApp to stop sending data to Facebook so they can tailor ads towards their users. France’s privacy firm, CNIL, says that WhatsApp has violated France’s nationwide Data Protection Act. WhatsApp has 30 days to comply to the demands. Other European agencies have also ordered the same thing as France. Germany has also ordered them to stop and is currently in the process of suing them.
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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.
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I believe compare is the most important of the eight principles. When two data sets are compared side by side, the message being conveyed is readily noticeable to the audience. The audience is able to use their eyes and immediately grasp the concepts being addressed to them. This will, in turn, make a presentation more effective.
In my opinion, simplifying the data visualization is the most important of the eight core principles. As the main purpose of data visualization is to allow viewers to be able to quickly understand the data and its’ conclusions, simplifying the data visualization is key. When a visualization is too complicated or even adds complexity to a data set, the visualization adds no value to the viewer, or even takes away from their understanding. While all of the eight core principles are important, simplifying the visualization is most important in my opinion as it allows the viewer to comprehend the conveyed information and easily draw conclusions from the data.
Asking why is the the most important in my opinion, because it helps analyze the data. If one looks at data and just accepts it and moves on, they could miss underlining detail, but asking by asking, why, you open up to the idea of exploring reason and analyzing more closely to find the reasoning. The more you ask why, the more you will discover, and can also help you trace the source and trends of the data.
In my opinion Asking Why is the most important, because it allows someone to fully immerse themselves in the process of analyzing data. It is easy to see scan the data and accept the first analysis you come to, however, by doing this you’re not getting further insight or understanding of why you got to the answer you did. By asking why, you identify a new set of information that opens the door for multiple answers rather then just one, which may allow for greater discoveries down the line.
From Hoven’s article, I think the most important principle is Simplify. By simplifying data, it is easier to read and understand the core point of what the data is saying. Data that cannot be understood would not serve a purpose.
Simplify
We are now living in a fast pace world. People are always on the move. Therefore, a simple yet full of information data visualization is gold. People will like the data you want to show if it is simplistic and can share it for better purpose. Thus, it is a great achievement if a data is presented in a very simple manner yet being meaningful.
In my opinion, “simplify” has to be one of the most important principles. We live in a world where— if things don’t make sense, quickly, we tend to move on. For instance, in college, we’re taught that our resumes, although text heavy, need to be appealing and grab the readers attention within 6 seconds. In six seconds your potential employer will scan your resume and decide whether or not you are worthy of the position. This stigma has always been present and was also reiterated in the “5-second rule” addressed by Kram in this week’s reading. By simplifying information both design and content-wise, it becomes easier to digest and retain.
Personally, I believe that the most important data visualization principle is “be skeptical.” In 2017, a majority of people have access to spreading information or data via social media or other platforms. It is on us to question the source, find data that either negates or supports visualizations, and not believe everything we read or hear. Anyone can make a visualization that is simple or comparable with other data, but we need to make sure this data is truthful.
From the eight principles of Data Visualization, I believe the one that is most important is “View Diversely” viewers should look at different views of the same data to see all the sides of the story so they can compare data. They provide different insights so you can look at the other side from the other perspective. This way you’re able to recognize data more efficiently.
I personally think the most important principle is to view diversely. Although this task could be tricky, it is imperative in finding good data. The reason for this is that we often surround ourselves with opinions that are biased to our beliefs, whether they come from the people we follow on twitter, to the magazines we choose to read. Viewing diversely causes viewers to go out of their comfort zone and see other sides to data, which in most cases would make the data found more reliable because it is not biased.
After re-reading the article titled, “Stephen Few on Data Visualization: 8 Core Principles,” I believe that the sixth step, or the “ask why” step is the most important step. I believe this because it is easy to see what is happening, but without a reasonable explanation to the situation, you cannot find the real reason why the situation is happening. Detail is key when analyzing data because it leads to more accurate results and conclusions, and asking “why?” will help to draw out more detail.
I personally believe the most important principle is to view diversely. Although it might be a tricky task, it is imperative to collecting good data. The reason for this is because we often surround ourselves with opinions and data that come from sources biased to our beliefs. Whether this information comes from the people we follow on twitter, to the magazines we chose to read. Being able to view diversely creates more of an opportunity to see other sides to the data and opinions we see, which likely makes the data more reliable because it is no longer biased toward one viewpoint.
The most important principle is Simplify. We have all been in the position when we look at data and we don’t know where to start. If too much information is being displayed, it is difficult for the viewer to be able to analyze the data. If the creator keeps the data simple, it helps the viewer to understand what is important in the data and helps them to be able to correctly understand what is being shown.
I believe the most important principle is “Explore”. You aren’t going to know every question you will have answered before looking at the data. Data yields unexpected results all the time and without exploring them you won’t find any of them. Looking at data to answer only one question may be one of the least efficient ways of using data.
I think “view diversely” is the most important of the 8 principles. I personally think it’s important to see data from different perspectives. Being able to see data in different ways allows you to understand it more, since sometimes you may not understand it if presented in a pie chart, but understand it more if presented in a bar graph. Also seeing different perspectives allows you to “explore” as well.
I believe that asking why is the most important principle. I believe this is the most important principle because asking questions is how you learn more information. Understanding “Why” helps us comprehend why we are doing what we’re doing. We need to know what’s going on and why that is happening.
I believe “Simplify” is the most important of the 8 principles. Without simplifying the data, we should just have unnecessary data scattered all over the place. Simplifying the data makes it easier to visualize and organize key data needed to answer questions.
I think that “ask why” is the most important of the 8 core principles. This is the whole reason we look at data, to figure out the why. It’s not enough to just see what is happening, but in order to actually be able to utilize the results properly we have to understand why it’s happening the way it’s happening. That can help us figure out what steps we can take to fix a problem or even just realize one that we didn’t know before. Understanding a problem is the first step toward the solution.
Simplifying is the most important principle in data visualization. I think this because a visualization should be able to be read by anyone. One should assume that the person has no idea about the data but looking at the visualization, one can be able to understand. Making a visualization should be simple because the most effective ones allow people to understand it almost instantly.
I think “Attend” is the most important principle of Hoven’s as it basically allows the viewer to access the most important data easily. A lot of times it is easy for info-graphics and data visualizations to confuse and try to do too much, rather by making sure that the important data is readily accessible to the viewer, the data’s most important aspects are quickly divulged to the audience. Furthermore often times the viewer does not spend a lot of time looking at one thing, so to make sure they at least come away with the most important data is essential.
I believe “simplify” is the most important of the 8 principles. Good visualizations are able to present information neatly, and also direct a viewer to what they are supposed to interpret from the data seamlessly. An overcomplicated visualization will not effectively communicate the message the data is supposed to convey, so the presentation must be simple and easy to follow.
I believe of the 8 principles discussed in Hoven article the most important is “view diversely.” My reasoning behind this is because for one to really understand and grasp the true meaning of a particular data set one must be able to understand it from many different points of view. Understanding a data set that can be shown through many different visuals proves that one has not just the ability to read the data but they also have the ability to apply the information extracted from the data to real life situations. This is why i feel of the 8 principles, view diversely is the most important.
In my opinion the most important principle of those 8 is be skeptical. Although each principle has its own merits and are very important, to me, being skeptical is what brings someone research even further. We should never stop once we come to the first conclusion we get, we need to continue to ask hard questions, although it makes our work longer and harder, it ultimately concludes with a greater conclusion based on the data we study. Being skeptical means taking the hard path not the easy one.
I think the most important principles core is the simplify. That’s why we’d like to have great big data but not let people read academic papers or have an observation by themselves. We like data cause data is reliable and easy to understand, everyone can read it. So that’s why I think simplify is the most important core.
In my opinion I think “Compare” is the most important out of the eight core principles. Even thought all eight are important in different ways, being able to compare data and see data side by side is a huge factor. The people viewing the data is able to see all the differences between the different type of data collected. Without having the data side by side it will be much harder. It would be much harder looking up each piece of data rather than looking at all of them at the same time and seeing their similarities and differences.
In my opinion, simplifying is the most important aspect of data visualization. All of the techniques work together in the end, however, when dealing with a lot of data it is necessary to present neat visuals so people can understand what they are looking at. The whole point of data is to effectively communicate information, so in order for people to process the information correctly their eye has to drawn to only what is important. Anything else is just distracting.
I believe “explore” is the most important of the 8 core principles of data visualization because it answers more than one question and has the potential to create more insights. By exploring, the individual can compare and experiment with the data to make it more meaningful to them. If they come across something interesting through exploration, then they may question it and try to find their answer. By further exploring to find their question, the individual will gain more knowledge about the data and essentially understand it better. Discoveries are made through exploration.
The most important aspect of data visualization in my view is View Diversely. I believe this because No humans are the same, everyone has a different view of things no matter what the topic is. Its also nice to look at the same data from different perspectives so one can get different insight of the data to answer questions like why and how. If everyone has the same view on the topic, then there wouldnt be any reasons to ask why this happen
I think that Simplify is the most important step for a few reasons. First, if a data visualization is too complicated, then people will naturally just not try to figure it out. We should not have to look at anything else than your end result and it should be simple. Also, its just good practice because it is the most efficient way to display data. Complicated data visualizations are not efficient.
I think Simplify is the most important principle for a few reasons. First, People do not want to take too much time to figure out how to read data visualizations. If it is too complicated, not as many people will want to read it. We should only see your end result when looking at your data visualization. also, it is just good practice because it is the most efficient. Complicated data visualizations are not efficient.
In my opinion, I think that asking why has to be the most important principle. If you don’t ask the question why, how will you understand how to interpret the data correctly, or even see new ways in which it could be arranged? Knowing why the data is set up how it is will eliminate questions one has on interpreting it and other related aspects or questions regarding “how”.
Out of the eight core principles of data visualization, I believe that “Simplify” is the most crucial of them all. If data is complex or extremely difficult to understand, then it would be extremely difficult to draw conclusions from it. There are lots of different data that can all be presented in different ways. This might make it a bit difficult at times to find the easiest way to present a particular data set. Nevertheless, if the data is simple, using the data will be simple as well.
I believe simplify will be the best principle out of the eight in Hoven’s article. Not all data is organized and sorted in an understandable format. data would be pointless without any meaning to them. So simplifying data from its complex form to a basic format will be easier on any users to comprehend and analyze the data.
I believe that simplify would be the best and most important principle out of the 8 principles in Hoven’s article. Data can be a confusing thing if it is not in an organized or neat format. It would be just a bunch of random numbers, letters, or variables to a user. Simplifying the data will allow its user to comprehend, analyze, interpret, and use the data for any arguments. Without simplifying, data would be pointless.
For me personally, I believe that “Simplify” is the most important principle of data visualization. The reason being, there can be huge amounts of ‘big data’. However, the overarching goal of data visualization is to simplify that big data into visualizations that make it easier to interpret. Complex visualizations do not accomplish that goal and thus, when creating data visualizations, the most important principle is to remember to simplify. The Hoven article makes it clear that good data visualization captures the essence of the data.
Compare is the most important core principle. If you can not compare the data how do you know the value of the data or the true meaning. The comparison gives clarity and understanding to the data.
Compare is the most important core principle. If you don’t compare you do not know the true value of the data or the true meaning. Comparing helps bring insight to what the data means against other things.
I believe that simplifying is the most important core principle of all. Making data visualization simple will make it easy to understand for audience. At the end we’re the purpose of designing data is to deliver a massage. And if that massage is hard to draw a conclusion from and hard to analyze, people will not take an effort of analyzing it or try to figure out what is the massage in that chart or infograph.
“Simplify” can certainly be argued to be the most important principle of visualization. Without simplification of information, especially large sets of information, the audience is left to interpret more pieces than they should be responsible for. In many instances, being forced to try to understand/read a graphic will deter an audience from caring much about its content. Simplification is the fundamental principle that not only helps to attract an audience, but educate them as well.
I think asking why is the most important principle of visualization. This is because many people can simply just look at the data and see what is happening, but not everyone can look at the data and know why it’s happening. I think this is something important to know because without the “why”, looking at the data might deter people from looking at your data and the goal is to have them interested in your data and understanding.
I think the of the 8 Stephen Fews core data visualization principles , the most important one is simplify. The point of data visualization is to understand a set of data in a much easier way. If the data visualization is complicated and you can’t even understand what its trying to convey, it doesn’t serve a purpose then. Data visualization must be simplified in a way that anyone on any education level could understand it.
I believe that the most important principle is to simplify. There is a significant amount of data out there but without the proper tools, it can be extremely difficult to understand. Being able to simplify the data into something that everybody can understand is the most important because that way there is no confusion and it enables them to have their own take on it.
The most important principle of data visualization is attend. It is common that when we view data and information that we can be attracted to the most important stuff. However, we can also be turned off by a too complex visualization. After all, a visualization is used to portray the most important information in a simple and pleasing manner. Therefore, attend stands as the most important principle because it aims to draw our attention to the most relevant information.
Asking why is by far the most important because it pushes the analyst and the viewer to think about the “so what”. This step is crucial to critical thinking and problem-solving since it forces us to not just understand the problem but synthesize a solution to an insight. In the article, he explains that this is where the actionable results are derived, meaning it’s not just the answer but it’s the next step. Working for clients or on certain deliverables in the working world often means pushing hard to that point of “so what” so understand why you need to ask why is essential.
The most important aspect in my eye is the ask why. To me, Knowledge is everything and if you’re not asking the right questions and getting the exact information you need how do you expect to get anywhere or let alone understand what you are reading. Knowing the reason behind the data gives you a better aspect of whats actually going on, making it easy for you to understand it. Because Without fully understanding it you can throw all the other principles out the window.
After reading the article “Stephen Few on Data Visualization: 8 Core Principles” which was wrote by Hoven, I think the most important one of eight principles is “Simplify”. In our daily life, we are involved in a fast-paced life. We need to deal with a large amount of data we faced and collect the useful information which we need. For example, we prefer to read the crispy news but not read the newspaper like before. Therefore, “Simplify” is the most important one, because it can help us to save a lot of time and make things easy to know clearly.
When first reading the article I though simplify would be the most important but after re-reading it and thinking from a creative stand point I believe that “explore” is the most important principle. U believe that it is the most important due to the fact that not everything can be learned or seen the exact same way from so many different people so by exploring it gives the option for new techniques and new outlooks on things that haven’t been done or have already been done and this principle just makes it possible to enhance or discover better things.
From Hoven’s article, I believe that comparing data visualization is the most important of the eight core principles because it is easier to compare data when they are right next to each other. Personally I believe that numbers and data have no value until you display them with purpose. With comparison it is easy to show the audience your main point from your data.
I think that the most important tool of data visualization that Hoven mentioned is to be skeptical. I think ,nowadays, with such fast access to multiple different types of media in various forms, mixed with our decreasing attention spans, it is too easy for us to move from one data visualization to the next one that is “fed” to us. Freshman year, I took a digital mapping class, and it taught me to be skeptical of maps, as there are different types and there is never 100% accuracy in the representations of countries. I think this applies to data visualizations as there is always human error when procuring and representing data, so people should take this into account. People should also question whether the information is being skewed to represent a certain phenomenon or not.
I think that the most important tool of data visualization that Hoven mentioned is to be skeptical. I think, nowadays, with fast access to multiple different types of media in various forms, mixed with our decreasing attention spans, it is too easy for us to move from one data visualization to the next one that is “fed” to us. Freshman year, I took a digital mapping class, and it taught me to be skeptical of maps, as there are different types and there is never 100% accuracy in the representations of countries. I think this applies to data visualizations as there is always human error when procuring and representing data, so people should take this into account. People should also question whether the information is being skewed to represent a certain phenomenon or not.
I believe the most important principle of data visualization is to compare. If you don’t have anything to compare to your data, its basically just numbers on a screen that really have no value. However if that data were to be a different set of numbers if gives it more meaning. For instance if you were to compare data on two companies, you could tell by that data that one company is doing better than the other, but if you just had one company the data wouldn’t mean much.
I think the most important principle of Hoven’s Eight core principles is be skeptical. You can’t believe everything that is on the internet especially data. For every 1 good graph or chart of data there is 3 more bad graphs out there to confuse people. Always do research and look into the data instead of blindly believing it.
William McAndrews
I believe ask why is the most important for a couple reasons. Firstly, it is the quintessential question when creating an infographic. Without it you have no goal when creating the visualization of data. It is the question you need to answer when trying to think of what you want to convey to your audience. Secondly I think it is completely necessary above all the other guidelines or rules for creating visualizations. If there was one that we had to follow and let the others go, I believe this would be the one that we would have to keep over the others.
I think the most important one is to view diversly. The reason I believe this is most important because in my opinion things and places are better containing diversity. Also, you have other views and perspective of things. It can allow you to improve your visualizations.
I think the most important principle is asking why. You can’t do much with the results if you don’t know why you have them. Asking why gives meaning and purpose to your analysis.