Jeta Gjana

This question doesn’t really pertain to me as I did my internship this past summer. On the other hand, some advice I would give to those who are balancing schoolwork and their respective internships is that it is time management. Its important to keep track of your time because it’ll keep you aware of what needs to get finished. Seeing that you have this much time and this much time of the day left shows you exactly what your priorities are. Time flies without us knowing and building strong time management skills would greatly improve our success in keeping it all together.

Time management does play a pretty important role in being able to balance schoolwork and internship work. When you are only meeting for work once or twice a week, it gets easy to put off certain tasks for your internship. Sometimes I found myself focusing more on my school assignments and had to crunch in internship work last minute. One thing that I did to help manage my time was to write down all of my assignments into a planner, and mapped out how much time I needed to spend on each task. Using a planner is something that I havn’t done since what feels like 3rd grade, but it ended up being a really great tool to help me stay on track of assignments and planning out how to complete them.

It all comes down to good time management. It’s already hard enough to balance school work and internship. You just really have to pick out what’s really important to you and set your priorities straight. I would suggest making a weekly schedule and just plan everything out ahead of time so you know what direction are you heading. I see school and interning as an investment to my future and that is what’s driving me to successfully balance the two. We can have as much fun as we want at the end of all this.

I agree with many of the people that posted above, it comes down to time management and scheduling. Balancing 12 credits and an internship comes down to making sure you utilize your free time to be productive and accomplish homework/studying. The way I manage all of this is by utilizing a planner to figure out which assignments are due, which exams are coming up, and which projects require work. Each Sunday, I sit down and plan my week, and I make sure that I leave time for breaks. Overworking yourself will eventually wear you out, and I’ve been through this experience before. I’ve learned from my past, and gathered insight from many other people who have interned and taken classes. The best way to make sure you succeed is to plan everything, and make sure you are accomplishing goals at work and in school.

At times I feel like I have a lot on my plate balancing six classes and 20 hour work weeks, but I agree with the above comments about time management. I keep a planner with all my school work written and give myself a lot of time to start assignments before the due date. I don’t think that you have to sacrifice your personal time and actually think that it is important for your sanity that you don’t. I still find time to go to the gym five days out of the week and have a social life outside of school and work. I am actually enjoying having to be so accountable and the task of balancing work and school. My biggest suggestion is just to plan ahead and give yourself your personal time so you don’t get yourself too overwhelmed with the balancing act.

I agree with everyone else in the thread that it all comes down having a determined work ethic, and some serious time management skills. Personally, I like to break my work down by a weekly schedule, or a list of “to-do’s” and then from there take it day by day. Being able to break work down into what feels like more manageable bite size chunks is something that will really help you from becoming overwhelmed and drowning in your work – or having a mental breakdown. Also a similar trend of this thread is having some head space. Take breaks when you need them, and don’t feel guilty about doing it. All work and no play really isn’t good for you, so make sure to have a decent balance in your life. At the end of the day, I think most employers realize that their interns’ top priority is schoolwork, so there is a bit of leeway when it comes to deadlines and things of that nature.

I agree with those regarding incredible time management. Obviously between work and school you might not have time for everything you want to do, since time is limited everyday. The main thing I have done in order to cope with work and school is by not wasting any time on my weekends. My last class for the week is on Thursday and I immediately start next weeks school work starting on Friday. By trying to get a weeks worth of school done on Friday through Sunday, I am able to reduce some of the stress from the busy work and class schedule during the week. By being productive on my weekends, I am able to be successful in both work and school.

As far as the job training, I completed it while I was not in school. However, prior to the job training and this semester I have maintained a Full-time corporate job while taking on a full-time course load. Being able to successfully handle the full work and course-load means thats an individual has to be fully dedicated. To be successful you have to prioritize your time. I’ve learned a lot about time management. If something comes up it can throw everything off so you have to sacrifice you’re personal/free time and just think about the results that the hard work will provide.n This can become very stressful at times. I try to put the best in all that I do and sometimes feel overwhelmed because sometimes I feel like school affects my work and vice versa. In the end it is all worth it.

Going to school and having a one or more jobs has been my life since I became i lifeguard at 16. To me balancing priorities and work and school and whatever else is simply a necessary part of life. There have only been minor times when I found myself missing assignments or work because I couldn’t balance my time correctly. I believe it has to do with just how motivated you are, how much dedication you have to your goals. Of course there will be lots of stress along the way but as you reach your goals it will be well worth any sacrifice. There is only so much time in a day, this is why I do my work in a manner that allows me to have to for everything I want to be able to do while still doing well in the workplace and in a school setting.

It can be challenging at times to work a full-time internship and be a full-time student. The key to balancing it all out and keeping it together for me is to plan and prioritize. I am a huge fan of using Microsoft Office 365 products to keep it all together and know what I have to do. Everything I need is either in my Outlook calendar or in a prioritized list within OneNote. First thing I do every morning is look at both the calendar and the list. One of the features within OneNote that really helps to stay organized and on track is with the tag features that at a glance will show what task is most prevalent. The ability to always have access on any device to my lists, calendars, and documents is what helps keep me together. Couldn’t imagine a world without.

I currently take 15 credits and working 40 hour weeks, certainly not easy thing to balance. It was hard especially at the beginning, mainly because I had to handle a lot of information all at one. I think the key here is efficient time management. First, I was trying to remember all of my daily tasks but often times I would forget one or two tasks and then remember them only later. In order to accomplish all of the tasks that I planned for the day I recently adopted a new habit of having a daily/weekly planner. Putting all of the tasks on paper and then crossing them off once they are accomplished makes my day much more stress free. Many executives are also having that habit, so I highly recommend it to anyone who is having trouble accomplishing all of their daily tasks.

I go to school full time, I have a full-time job as Director of Business Development for a consulting firm, and I take care of my two younger brothers. Without my calendar I am lost, I even have to make appointments to see friends on weekdays, for lunch and weekends or I have no social life. I have a calendar I share with my friends and family so they can “book” time with me if they want to hang out, which is ridiculous if you think about it, but if it’s not on my calendar it doesn’t get done.

I found managing time between the internship and school to be extremely difficult. Specifically during this time period where we have midterms and on top of having to devote X hours a week at work and Y hours at lecture and doing homework assignments, one must allocate time to properly prepare for exams (all of which fall within a two week period). It’s been super stressful and now that most of the wave has passed, things are becoming manageable. I think the best thing which has helped me was to block out my time and make it a priority to be productive in those blocks. The most consistently difficult time period has been after work a 5pm where I often fall into the habit of sitting on my couch and watching TV. This turns into hours of wasted time. To avoid this obstacle, I make it a point not to stay in my house for more than 30 minutes after work and normally prepare a cup of coffee and then head to the library to do work.

Buy a planner! That is the best advice I could give anyone. Don’t rely on technology to keep you informed about assignments. I found it difficult and time consuming to set up the applications that remind you when something is due, or organizes your schedule. A planner had helped me organize and balance my life tremendously. With two jobs, two internships, two capstone classes, and a full time course load, I found myself sinking very easily in the beginning. I’ve disciplined myself to write everything I hear or need to do down into my planner. It has a time log of my work hours, a time log of my internship hours, due dates, appointments, and even study hours. I track almost everything from bills to birthdays, and even have listed times that my CEO

https://www.washingtonpost.com/graphics/national/united-states-of-oil/
This article is interesting to me because I’ve taken a couple courses relating to fracking and how horrible it is to those living near these sites and to the earth itself, however majority of U.S citizens benefits from cheap oil and gas and the US in general makes a lot of money. In this website, it shows how there’s an increase in U.S oil/gas. It contains colorful graphs that shows the increase in oil.gas and color maps that shows where these gas/pol sites are and labels describing them.
To know that “there are more than 900,000 active oil and gas wells in the United States, and more than 130,000 have been drilled since 2010” and for Trump to lift more bans is pretty devastating to those living near these sites and to the earth itself. I believe that there are better alternatives than to dig up the earth for gas/oil or money.

https://fivethirtyeight.com/features/would-trumps-blue-lives-matter-effort-really-help-protect-police/
This article takes a look at President Trump’s signed executive order to try to make attacks on police a federal crime. The article takes a look at the numbers behind cop deaths to see whether this would truly have an impact and protect cops. Behind the numbers, the highest cause of death for a police officer between 2011 and 2015 on average was traffic-related, which makes the proposed changes, not necessarily effective, as traffic-related deaths are accidental, and the order won’t do anything for accidental deaths. The article was interesting, because the way the media frames attacks on police officers, you would think law enforcement deaths would be on the rise, however, according to the article, they have been on a downward trend for overall for years. Hopefully something can be done to effectively protect police officers, as I am a strong supporter of law enforcement.

http://www.usatoday.com/story/tech/nation-now/2017/02/15/switch-worlds-largest-data-center-building-opens-nev/97967578/
This article talks about the creation of the world’s largest data center building in Reno. The magnitude of 1.3 million square feet area for data is pretty insane and commendable. This means more data can be stored in our every expanding world of data. On the plus side, the facility runs off of renewable energy and can help provide faster data speeds to the surrounding area.

https://www.forbes.com/sites/bernardmarr/2017/02/22/big-data-why-nasa-can-now-visualize-its-lessons-learned/#1835c6672003
This article is extremely interesting to me due to the relevance of NASA right now, and how critical data is to the operations of them. The way they use data and programs that sort through millions of documents is amazing. The way Meza used a database to determine that the data sorting program was not efficient shows how important data can be. Mesa also mentions how he found a program that makes it easier to combine information and showcase it in a graph form. This is relevant because we are using Tableau to showcase information just as NASA is using a program that does just the same called Neo4J.

https://www.forbes.com/sites/quora/2017/02/06/is-data-science-too-easy/#2030f97292a9

I found this article interesting because it discusses data scientists in the current professional climate and offers insights about the occupation. The article goes on to explain the role of a data scientist and how they contribute to the field of data science with the utilization of technologies like R and Hadoop. It also points out that data science is a growing field and no company is certain about the “right” way to go about analyzing Big Data. Overall, it is clear that the job is difficult, but successful data scientists are extremely valuable to an organization.

Source: http://money.cnn.com/2017/02/25/technology/data-refuge-saving-data/
Data Refuge is a volunteer group of hackers, scientists, writers and students. Their main goal is to preserve the collected federal data and keep it publicly accessible. The group found that the White House has removed all federal data from the site. The site now only displays a message informing the searchers to check back soon for new data. Data such as animal testing, puppy mill cruelty and company audits were completely removed since the inauguration of Trump. The spokeswoman for the USDA informed CNNTech that the removal was done to protect privacy. The removal of public data affects many organizations since they are dependent upon the data. In order to prevent data droughts, Data Refuge has participated in civic activism to prevent such scenario from taking place.

Source: http://www.rdmag.com/article/2017/02/sports-equipment-sensors-send-data-directly-coachs-smartphones

This article about the installment of sensors into sports equipment interests me because of the direct effect it can have on sports at all levels. These low cost sensors can help athletes improve their skills by measuring things like speed and trajectory. They also could help officials make accurate calls on a professional level. For example, a touch sensor could tell NBA officials who last touched a basketball before it went out of bounds. I think this is great for athletes, coaches, and sports in general, as the data derived from these sensors can help athletes of the future on all levels improve their skills.

https://www.bloomberg.com/view/articles/2017-02-16/do-you-trust-big-data-try-googling-the-holocaust

This article is talking about trusting the big data you see. Lots of data now a days is not filtered or changed frequently. In the article, Mr. O’Neil states “When I typed the phrase “Was the Hol” into Google, the search engine auto-completed to “Was the Holocaust real?” Of the top six search results, four were Holocaust-denying sites. That’s despite Google’s efforts to address this problem back in December, and I’m not unique.” This was one of the few examples he used in the article to show that big data isn’t always reliable.

http://mashable.com/2017/02/23/elon-musk-tesla-lifetime-insurance/#JmslVnabYkqQ In this article, Tesla is beginning to be so sure of its self-driving car that the company is going to offer lifetime insurance and a maintenance program. This means that those monthly bills are gone and a peace of mind could start to set in. I find this most interesting because the technology came so far since the debut of the first Tesla to even mention something like a lifetime insurance.

https://www.forbes.com/sites/valleyvoices/2016/01/20/five-ways-data-analytics-will-shape-business-sports-and-politics-in-2016/#5f57c74169be

In this article, data analytics is becoming the next big thing for the 5 major sectors of business. The business insurance industry are collecting lots of new data to see if any new major trends are happening. They want to start serving the older babyboomer generation. There is a huge amount of them who do not have nay kind of life insurance and people want to start seeing to get them into getting insured. They said it is never to late for them to get it.

https://fivethirtyeight.com/features/mars-needs-lawyers/

In this article, data is analyzed for future costs to get humans Mars. In 1989, NASA estimated a future 400 billion dollar human Mars mission…that number in 2014, turned out to only be a mere 100 billion. Today it is reported that numbers are as low as just 6 billion dollars. The article describes how the mission is so expensive that it is not talked about in the media much at all anymore.

https://fivethirtyeight.com/features/trumpbeat-is-trump-already-messing-with-government-data/

I found this article interesting because it discussed how data can be abused to sway opinions and further personal agendas. By manipulating data so that it fits with a conclusion a certain party believes in instead of using data to form conclusions, people can use data to persuade others into supporting their views. This is particularly dangerous when the data in question is government data. When important government data is manipulated or removed, there is a lack of knowledge necessary in order for the public to form their own unbiased opinions.

Research Reveals Success Tactics of Top Bloggers: 11 Trends

I am interested in blogging (or any type of lifestyle online resource)e being apart of my future career. In this data set, Andy Crestodina asked 1075 bloggers the same 11 questions and came up with some helpful insight of successful bloggers. For instance, to the question “how long does it take to write a typical blog post” they found most bloggers take 1-2 hours. And to the question, “Do bloggers use editors?” they found most bloggers edit their own work. Crestodina basically found that bloggers are doing more than before in regards to their blogs. It’s interesting for me to read how successful bloggers handle their blogs, so I can use this as a helpful starting point.

https://phys.org/news/2017-02-smart-analysis-stuttgart.html

I found this article very interesting because it showed me how our mobile network connects us all.This article specifically talks about how our mobile network is a possible solution to help with traffic in cities. This is a very good idea and analysis if you read the article because it shows that open data has many applications to creating a better and more efficient society.

http://www.baselinemag.com/analytics-big-data/how-to-get-business-value-from-big-data-analytics.html

I selected this article because it provided more insight into big data and its role within a competitive business landscape. The article discusses how IT is becoming a commodity amongst businesses, specifically with the IoT. According to the article, 65% of IT leaders believe that that they risk becoming irrelevant and/or uncompetitive if they do not embrace big data, while 64 percent say that big data is changing traditional boundaries and 24 percent are already experiencing ingress of competitors from adjacent sectors. The three key areas where business leaders are focusing on within this space is: infrastructure, the IT framework to support data, and the individuals in the organization. This enables the ability to identify the most relevant data out of a broader data pool.

http://www.biztechmagazine.com/article/2015/07/golf-gets-swing-analytics

This article relates to me as I have a passion for golf as well as the drive to continuously getting better each year. Analytics in golf have made tremendous improvements over recent years as they can now fine detail almost every aspect of the golf swing. The article is interesting to me as I can so closely relate to some of the same work professional are doing that I also do in my free time. Often my coach can simply throw numbers at me about say the loft or swing angle and instantly I know where I need to adjust.

https://www.theguardian.com/film/datablog/2016/aug/19/thirty-years-of-pixar-from-toy-story-to-finding-dory-the-studios-biggest-hits

This article really fascinates me because I’m a big fan of Pixar and animated movie. The thing I love about this article is the data visualization which shows the budget and the profit of movies categorized by topics such as monsters, toys, animals, etc Combine with the bright color which matches with topic of animated movie, audience can easily see what movie brings a lot of profit for Pixar and what categorized movie is more favorable. This data visualization inspires me to think of broader data visualization types in which we can be creative. It also reminds me of the lecture and the readings about data visualization in class. Lastly, it is amazing that Toy Story 3 has the highest profits of more than $860 million!

http://www.economist.com/news/finance-and-economics/21717431-bilateral-trade-flow-data-are-misleading-reported-tweak-will-not-help
This article’s topic is America’s trade imports and exports, and how Donald Trump intends to make changes to the trade policies. It is fascinating because of the various data it presents. Currently, America sells goods to gain trillions of dollars in revenues, thus increasing the the amount of money owed to America by other countries. With Donald Trump’s intended plans, America would lost money in the billions and the trade deficits of other countries would decrease in the billions.

http://journals.lww.com/nsca-jscr/Abstract/publishahead/Predictive_Validity_of_National_Basketball.96164.aspx

This article discusses the predictive validity of the NBA Draft Combine on the future performance of basketball players. The data is gathered by a principal component analysis (PCA) or principal component regression (PCR) that analyzes first-year and third-year on-court performers at the college level. Three components that were identified would be length/size, power/quickness, and upper-body strength. Of the three components, length/size was the predictor that was significantly most associated with future on-court performance at the NBA level. This was interesting to me because I was always wondering how NBA scouts and coaches determined a players value. Now, I understand the Sixers, “Trust the Process” system.

https://www.gamblinginsider.com/in-depth/2942/advanced-guard-the-importance-of-data-security
I believe this article is really relevant because reports the importance of company’s investments in data security in order to avoid bad publicity and lost revenue. Security data breach can have substantial negative impacts on an organization. The author points out five critical levels of security and conclude saying that the best way to protect sensitive gaming data such as customer credit cards, personally identifiable information and player data is to remove as much of the sensitive information from the merchant’s environment in order to not “touch” the merchant’s system and therefore, there is no valuable data to steal. Taking preventive actions like this, the company could avoid negative long-term effects like damage to the brand and loss of trust, loss of customers and negative political implications.

https://fivethirtyeight.com/features/the-ncaa-is-modernizing-the-way-it-picks-march-madness-teams/

This article here I thought was very interesting, because it talks about how the NCAA Tournament committee is changing the analyltical system they use to pick what teams do and don’t make the field of 68. Their current system known as RPI (ratings percentage index) was developed in 1980, but after the past couple years of the committee snubbing some teams that by the popular opinion thought should be in, they are introducing new aspects to the system from another index know as KPI(Ken Pom Index) that was developed in 2004 by a Michigan State basketball manager. This is a big deal for me, because I am a HUGE college basketball fan and would like to see the committee be able to better select the right teams to be put in the field. On top of that I am considering to go to graduate school for Sport Analytics, so this article really piqued my interest.

https://fivethirtyeight.com/features/when-did-sports-become-so-political/-

This FiveThirtyEight article is based on the overall significance and correlation between sports and data. Sports history and player comparisons rely strictly on data, the statistics of players to be specific. The article shows how data and statistics are essential in observing and comparing different athletes based on home runs, touchdowns, points, goals, etc. When people say that “data is everywhere”, they truly mean this. Sometimes, I come to forget how important data is to sports. However, sports history and comparisons rely heavily on data.

This New York Times article details an open source for researchers to post their papers and get tips from fellow researches on where to focus their time and what will help them. It is essentially a social media network that connects scientific researchers to better assist their data collection. It was solving the problem of slow feedback on current research and a lack of network for researchers to communicate. They have raised $52.6 million from investors to fund this project. They also detail how this type of crowd learning has become more popular, used in cancer research and at Ivy League Universities.

https://www.theguardian.com/lifeandstyle/datablog/2016/sep/17/oktoberfest-beer-fried-chicken-rollercoasters-and-more-beer

This article is about the number of liters drunk by visitors of the 2014 Oktoberfest. A bar graph shows 1980, 1985, 2004, and 2014 numbers of liters drank. It went from only 3.8m liters drank in 1980 up to 7.7m in 2014. There is also a scatter plot showing as the years have increased the price per beer has also went up.

http://www.nature.com/news/data-on-movements-of-refugees-and-migrants-are-flawed-1.21568

The article about data movements of refugees and migrants is interesting because we are aware of the fact that these people are leaving their countries but we are not 100% sure of where they end up going. In Europe, this problem had an enormous impact in terms of which country needed the most help and where exactly. The data is useful to take initiatives to help these people like in Germany. The growing number of immigrant coming into the country was the reason why the german government decided to provide them courses to learn a specific area of the business and contribute to the society. This solution, benefitted both parties.

https://thevideoink.com/oscars-predictions-data-on-youtube-says-the-winners-are-f6513d00ab38#.b2dgrbvmi

With the huge hype and talk about the recent events that occurred which is the Oscars its only fitting bring data relating to Oscar Predictions before the Oscars happened. I like this because it focuses on the biggest areas in which people wanna see in the Oscar predictions and also it’s very straight forward and organize. With one of the graphs it clearly shows the difference between each area of subject just by how large the difference is and which is more soupier then the others.

http://quotes.wsj.com/QVCA/financials

The stock price of a share of stock for QVC was at a high of 26$ one year ago. Since then the price of a share of stock has been showing a natural decreasing trend down to 19$ a share. on august 3rd the stock price of QVC dropped significantly by 6$

http://smallbusiness.chron.com/role-data-business-20405.html

I feel like this article is important because it is relevant to business and in order to have a successful business you need to know your data. If businesses used all of the data they got then that data would benefit them every time. But the problem is about half of the data you get inst need and is useless. I feel like if you mastered analyzing data and you implemented it into your business then your business would be doing much better.

URL- https://www.nytimes.com/2017/02/23/nyregion/new-york-city-subway-ridership.html?rref=collection%2Fsectioncollection%2Fnyregion
This article is about how people in New York City would rather take an uber or other car service rather than the subway. This is the first time the subway ridership has declined in 8 years. The article says that the percentage of people taking a subway on a weekday has increased slightly, but the percentage of people taking a subway on a weekend has gone down, probably due to visitors and people going out. A problem that could arise from this is that the amount of traffic in the city could be even worse, which is hard to believe.

http://www.theaustralian.com.au/business/technology/yahoo-ceo-marissa-mayer-to-take-pay-cut-for-data-security-breach/news-story/9ec1ed8eeb23766b171bca8f533f950f

This article discussed the continuous data breaches that Yahoo has been encountering. It was an interesting read because the article was primarily focusing on the fact that the data breaches are occurring because of the executive team is not putting enough time and care to “properly comprehend or investigate” said breaches. I think this is an important thing to note about companies and their data. Similar to anything in an organization, it starts from the top down. Yahoo’s executives need to take data seriously, especially in the process or protecting it and preventing these breaches from happening again. Without the time and diligence spent on this, these breaches will continue to happen and Yahoo’s reputation will continue to go down. Data is important and executives/CEOs need to make this a priority – especially for a tech company like Yahoo.

https://med.stanford.edu/news/all-news/2007/07/music-moves-brain-to-pay-attention-stanford-study-finds.html

This article is basically about a study that the Stanford University School of Medicine did testing the theory that (classical)music helps us focus. They conducted an experiment that monitored brain activity which showed that the most activity was during the transitions between movements. I thought it was interesting because we’ve all heard that theory growing up, and we’ve all seen pregnant women put headphones on their bellies and it’s just an interesting concept. But what interested me most about the article is that I study classical music and I love the idea that it makes you smarter. Lucky me!

URL: https://gcn.com/articles/2017/03/01/nyc-data-pedestrian-safety.aspx

This article basically talks about how data from car accidents and how people drive can help prevent future accidents from occurring. Some examples given were that some devices record information about how people brake too hard and speed too fast. Using that information, they classify which areas of New York are known for extreme braking and speeding and see if there is a correlation with the number of accidents at those areas. The article also states that because of lack of light in certain areas during winter and fall correlated with a 40% increase in severe crashes. Using this data, more light could be added to prevent fatal accidents. I found this interesting because I was thinking about the amount of money insurance would save when they would have less claims to pay. I take an introduction to risk management course and my professor talks about insurances and how they are not evil and are good for you.

https://fivethirtyeight.com/features/russell-westbrook-cant-stop-going-left/
This article discusses an anomaly about NBA superstar Russell Westbrook’s play this season. Westbrook has been having a phenomenal year, averaging a triple double 60 games into the season (meaning that he has three different statistics in double digits). However, despite his dominant performance, he is being extremely predictable in one-on-one situations this season. The article shows how Westbrook moves to his left nearly 3/4 times and still manages to get around defenders to keep his numbers so high. It’s very interesting to see that even though Westbrook is predictable according to the data yet he still leads the league in scoring. I found this article interesting because I enjoy analyzing sports statistics and have been paying close attention to Westbrook’s historic season.

https://www.forbes.com/billionaires/#/version:realtime_page:3

This artcle is about world’s richest man. The most interesting thing is it changing real time. One week ago, China’s biggest express company came into the market. And the founder became a billionaire. But at that time his net asset was about 1.5 billion. A lot of people want to buy the stock, and now his net assets is 26.7 billion. We saw the whole process his net assets was increased 2 billion per day. Now he is the third richest man in China, 26th in worldwide. I found it interesting because it is a dynmic data.

https://www.forbes.com/billionaires/#/version:realtime_page:3

This artcle is about world’s richest man. The most interesting thing is it changing real time. One week ago, China’s biggest express company came into the market. And the founder became a billionaire. But at that time his net asset was about 1.5 billion. A lot of people want to buy the stock, and now his net assets is 26.7 billion. We saw the whole process his net assets was increased 2 billion per day. Now he is the third richest man in China, 26th in worldwide. I choose it because it is a dynmic data. Everytime we check it, it may have some things different.

http://www.theverge.com/2017/3/2/14788218/5g-mwc-2017 5G: (Super Fast Data, throttled by reality.)

I choose this article because it describes how our technology have been advance at such a fast pace. The ability to connect to 5g will revolutionize our connection as a whole. The new speeds will allow users to download at a rate of 10 gigbits per second, which is unheard of! This will allow people to access data quicker and to process it faster. This technology will change the way humans interact and learn.

https://projects.fivethirtyeight.com/congress-trump-score/
This is an interactive data visualization in which you can see how closely each congressman/woman and house representative voted inline with Trump’s policy. If you click on the politicians name you can then see each bill that was voted on in the Senate or House and how each politician voted on that. Then if you click on the hyperlink of each bill it will bring you to Congress’s website going more in depth about the bill. This link gives you information on what party the congressman/woman or representative is, a score on how closely he or she votes in line with Trump’s policy, Trumps share of the election votes in that specific state or district, how often they were predicted to vote in line with Trump, and the difference of their predicted score and actual score.

https://www.forbes.com/sites/kurtbadenhausen/2016/12/06/michael-jordan-heads-the-highest-paid-athletes-of-all-time-with-1-7-billion/#6e5731b91f1d
The title of this article is “How Michael Jordan heads the highest paid athletes of all time with $ 1.7 billion” written by Kurt Badenhausen. Even though, Michael Jordan the NBA’s greatest player made $93 million in salary over 15 seasons playing for the Bulls and Wizards, he generated $2.8 billion in revenue for Nike in its most recent fiscal year. In this article, he also states the salary for the other athletes who has and had high salary such as Arnold Palmer, Tiger Woods, Michael Schumacher, Nolan Ryan, Roger Federer, Alex Rodriguez, Lionel Messi and etc.

How Data Runs The Sports World

This article shares information on how big sport data collection is within professional sports. Most fans think that just the statistics and numbers we see on ESPN is the only data analytics professional sports teams do. However, as shown in this article sports organizations do a lot more than that, including, finding out the best times to air the games, customer behavior, how much to price the tickets, etc.

http://www.cnbc.com/2017/02/27/digital-video-game-sales-surge-in-january-to-75-billion.html
I’m a gamer, and I download the game to PC directly because I don’t like to keep DVDs. In this article, the SuperData Research reports that video games downloaded directly to personal devices increase 9.8% in January compare to the same period last year. Download version sales to PC and consoles raise fast these years. More and more gamers prefer to download at home instead of buy at a store.

https://www.mtggoldfish.com/articles/modern-on-sale

This article discusses the prior and expected future prices of cards from the card game “Magic: The Gathering” based upon an upcoming set of cards. The article draws from data collected over the years, and uses it and past trends withing the data to estimate where the prices will go next, and when the best time to buy certain cards is. This is an interesting topic to me because I play the game, and I will be engaging in the buying and selling that influences the market.

https://www.theguardian.com/travel/2015/nov/18/top-10-budget-beach-hotels-mexico-pacific-coast-bed-breakfast
With spring break just around the corner, many students travel to warmer climates, preferably with beaches. This article names the top 10 cheaper beach hotels on Mexico’s Pacific Coast. All of these hotels stretch along the 1,000 mile coast that is known for it’s fabulous beaches. It states when the hotels were built and how much a stay is per night. With us students being on a tight budget, these hotels are pretty reasonable prices, all located on the beautiful coastline. Mexico is the perfect place for a getaway with friends while escaping the stress and pressures of school work for a week.

I realized that communication dwarfs all skills in importance. I could perform most of my tasks with what I learned in school. If I did not know something, it would be easy to learn. At the highest level, my work depended on learning from others, listening to others, convincing others to share something, and managing others in some way. It seems trite, but I did not realize before now how important communication is to success. Perhaps that is why consulting is called professional services, although I imagine this holds true across industries.

Mastery of Excel is always an advantage. Access has come up in this internship, just like it did in TD. Since so few people know how to use it, that can be a game-changer. Learning SQL, PHP, and other technical skills in the MIS program made it easy to pick up skills like XML.

In terms of people, I wanted to bond with all my teammates. Some were more helpful than others, but all were kind and willing to help. With Deloitte’s model, I think having a strong mentor relationship is important. Your mentor advocates for you, although they are separate from your project work. As an intern, a strong relationship with recruiters is also key in having the best experience. Interestingly, the people I think are most important so far are the various people I meet in networking dinners who I run into over and over, as I learn a lot about the business and other projects. In the future, those relationships have the potential to land me on new projects or find talent for my projects.

Similar to what David mentioned in the previous post, I do agree that communication skills are at the forefront of business skills. While working in the startup environment, everything is fairly transparent, so it makes communication quick and efficient. On the flip side of that coin, you always have to be completely honest and truthful at all times, as everything is so transparent, and you must hold people accountable for their actions.

In terms of technical skills – Excel has been my bread and butter. I learned a great deal of it through coursework, and the rest through playing around, trial and error, and online research. Something that helped me a lot with my work was Tableau. When I first started working for Bquipped this past summer, I taught myself the basics and was able to make some pretty cool dashboards and visualizations. I really liked using the tool, so I enrolled in MIS 0855: Data Science in the Fall semester. This helped enhance my working knowledge even more, and now I am tasked with doing some pretty complex things using both tools. I think that working in IT (especially big data) it is essential to always be challenging yourself and trying out new tools and software to stay sharp and able to adjust with the industry trends.

No specific person that I “wanted on my side” – as we are a very small startup company it is definitely a close-knit family culture and everyone is always lending a hand. I think it has been a great learning experience and has prepared me for working at a company with a bigger employee base.

It seems to be a common trend among the posts already submitted but communication is key. Although technical skills are definitely important it would be difficult to get anything completed on time or at the the expected quality of work standard without communication. While working for Temple University it has become incredibly important for me to be open to criticism, comments, and willing to think outside the box, especially recently because my direct mentor left this week on maternity leave. For my job specifically when it comes to technology I work with excel primarily and the back side of the OwlNetwork, TUPortal, and blackboard. Working with each of these platforms has greatly increased my understanding as well as technical skills because no two are the same.
The person that I view as the most important person for my success is my mentor/manager/boss Shannon. She carries a heavy role within the Career Center. Each and everyday that I work beside her on a task I learn something new. No matter how big or small I have caught myself using the skills that she has taught me both in and out of the office setting. I feel like that is really important because you know that you are not only bettering the company that you are a part of but also bettering yourself. Aside from Shannon I’ve found other employees useful for smaller tasks but as far as the technology focus of my job goes there isn’t anyone else who knows how to do it.

The soft skills that I think are critical in any professional context would be communication and the ability to be self sufficient. In any context in the professional world communication is a vital skill to have because successful communication is the key to forming positive relationships in the workplace and also getting work done successfully. At QVC I work very closely with one other intern and we are doing a project together that will last the duration of my internship. This project involves creating a project plan and eliciting requirements from different team members. We are currently in the planning phase of our project and communication has been key for us in getting direction from our supervisor and agreeing on terms with each other. We had to divide up work that must be complete weekly between the two of us and being able to openly communicate with each other is proving to be really important. I also had to take initiative on certain aspects of project planning, planning interviews, and asking the right questions. I learned that you need to be able to make decisions without running to your supervisor for every question and be confident in your decisions. It is so important to show the drive that you want to learn how to do things through trial and error. When I was assigned the task of doing a weekly report on the status of work requests for the Interactive team, I had to learn from past reports what was appropriate and what was expected because yes supervisors are happy to help when you need it, but they appreciate that they don’t need to hold your hand and see that you’re a self starter.

As for having a person that I want on my side aside from my boss, it would definitely be the other intern on my team. Since we will be working together so frequently and are desks are right next to each other it is silly not to be on good terms. When we divide up tasks, I always voice which I’d like to take responsibility for but I’m also understanding when she wants a certain task. Having someone I work so closely with on my side is so important for things like collaboration, honest feedback, and just enjoying the relationship I have with her.

Communication is key. At The Franklin Institute, I work closely with not only just my manager and the other intern, but also other departments as well. Everyday, different apartments send their web-edit requests to our team and we have to get it done in a quick and efficient manner. If their requests are vague, we have to follow up with them to see exactly what they would like to be done to certain pages on the institutes’ website. Without effective communication between other departments and us, we may make mistakes to the website that will cause users to be confused, misunderstood, and frustrated.
Prior to the internship, I had basic knowledge with CMS tools. When I started working, I found that Drupal is one of the main CMS tools that we use. Almost everything that we do, we do with Drupal and if I didn’t know how to use it, I would consider myself unqualified for the position. On top of that, knowing and understanding Excel and Dreamweaver from previous classes definitely helped me out as well.
I would definitely pick the other intern to be on my side. Teamwork makes the dream work so having that extra person that you can depend on and vice versa just makes the job easier and much more enjoyable.

I believe the most important skills I have discovered in my internship have to do with shadowing people and learning about the company. In college, you aren’t usually taught all the different terms each company uses because they are different in almost every company. I think this is a skill I have picked up during my internship, and I can identify and relate each system to those outside of the company as well. Along with this skill I have become quite familiar with migrating builds, and updating QVC’s iOS and Android applications. A skill that I didn’t have before had to do with Change Management because I had no idea what skills I would have to know or learn. Now I realized that in order to prosper in change management you need training in SAP, IBM, Jenkins, and many more. I am slowly acquiring these skills, and most of this I am learning from one of my coworkers. She really understands the whole change management process and knows how to deal with each issue, and this is someone I definitely want on my side for the rest of my internship.

The most important skills that I have learned during my training is leading by example and being confident. I met people that took pride in everything they did and worked hard. I had the utmost respect for my Staff sergeant Davis. He came in everyday ready for work and lived the Army Values of Loyalty, Duty, Respect, Selfless service, Honor, Integrity, and personal courage. I learned so many valuable life lessons from soldiers that put their lives on the line to protect this nation. These experienced soldiers taught me about life and trained me on how to Supervises the deployment, installation, operation, and unit level maintenance of multi-functional/multi-user information processing systems. I’ve realized that in our field if we want to be successful when communicating with individuals in the business world we must earn respect and lead by example.

For the role of catastrophe risk modeler, the two most vital skills to possess are critical thinking and analytics. As part of my role, I am analyzing big data sets of insurance companies and picking the required information for me to run the model. Coming into the internship with prior experience in analytics, certainly helped me to be more proactive in the first couple projects. However, it is important to do practice the model projects at home. That way, when a problem arises during a real scenario, I will be able to identify any discrepancies much faster. As a continue practicing and working on the catastrophe models, both skills mentioned above, will strengthen. Furthermore, working with databases such as SQL and R studio, require me to be very detail specific. One little error in the beginning of the model can turn out to be a problem of a much larger magnitude at the end. Hence, before reporting my findings, I double check all my results. One person who has helped me with tips and guidelines, is a senior catastrophe modeler who was once also a co-op. She gave me her guidebooks and procedures that she used while being a co-op. These were a ton of help, especially during my first week at the position. The guides, coupled with online resources and trainings, helped me to get a better understanding about the insurance and reinsurance industries, as well as my roles and responsibilities. As I am still learning all the aspects of my role, I fell that I am enhancing my analytical and problem solving skills.

Mentioned in previous posts, I also agree that communication is key to a successful environment. Especially in my past internship at the School District, their is so much work going around that I need to track who I gave my certain documents to, who I talked to about contracts, where each contract lists were recorded. Their is so much potential in having everything blow up in your face if you don’t communicate within the department. On top of keeping communication alive, I also found out that I needed to improve on my excel skills. I never realized how much excel was used inside the School District. Luckily, I had help from the former director of procurement Dan, who is now in operations. I was told he was an excel wiz and he was. He taught me so much more about excel and because of his help I was able to finish my tasks at a faster rate.

Soft skills are king at my internship. They stress communication and spend a lot of time with soft skill training. Being able to communicated with your team and your superiors is a key to success. One skill that I wish I was more proficient in is excel. It seems as though that is the only technical skill that is really necessary at my internship and knowing all the tricks of the trade would make life much easier. One person you definitely want of your side is the IT person because if your work laptop goes down then you can’t do anything until they come and fix it. It can make your life much easier if the IT person knows you and gets your problem fixed quickly.

I think the most important of the eight principles of data visualization is Compare. Data isn’t as meaningful if it isn’t accompanied by something to compare it to. For example, simply showing a company’s sales for this year doesn’t mean much if you’re not also looking at how it compares to past years. You don’t know if the sales are improving or not if you don’t have a point of reference.

In my opinion, the most important data visualization principle would have to be “Ask Why”. This is because many companies make decisions everyday on data; and never grasp the whole concept of why they made that choice. If business leaders and professionals, just take the time and day to comprehend their data decisions they will offer a competitive advantage to the company.

I believe that the most important principle is to “be skeptical”. In today’s day and age we look at information and immediately just accept the information chosen. People do not search for more and ask questions about further analyses simply because its too much work. With more tools like Tableau coming out, these interactive infographics are making it easier for people to search for more information.

The most important of the eight core principles in my opinion is the “explore.” Data has been used widely for many applications. If we can find more data from a data set that we already have, we can theoretically predict something with our data. We could find something else that pertains to other data, where we can find relationships and trends to have a better understanding of the population we took our data from.

The most important of the eight is “Explore” with “Be Skeptical” coming in a close second. Exploring is the most important because it expands our horizons. Our speaker, Maurice, said that he’s come this far by being able to play with data and seeing patterns and drawing conclusions for questions that aren’t even being asked. Some of the greatest inventions throughout history have been accidents (e.g. X-Ray images, Potato Chips, Post-It Notes, etc.). Now that we’re in the digital age, data, too, can help us “accidentally” answer questions.

I think the most important principle would have to be the ‘View Diversely’. Data is provided to one in a daily basis but if the person viewing the data do not have any insights into it then pretty much the data would be useless to that person. Having different views would provide different insights on the same data and through the different insights, one can figure out the connections upon the data they are viewing.

I believe the most important principle that Hoven provided is “View Diversely”. People utilize data visualizations to look and explore the data that as been gathered. The ultimate goal of viewing this data is to gain insights on the data and learn how the data can be used to better a process. It is incredibly important for those who view the visualizations to understand and analyze the data from different perspectives in order to uncover some of those important insights. Because of this, “View Diversely” is the most important of the 8 core principles that Hoven discusses.

One of the most important principles in my opinion is “Simplify.” I believe it is most important to make a visual user friendly to the point where a child can understand the concept of your graph. As the article states, there is no reason to have too many options. If it takes all these options to try to simply, the visual can be classified as clutter or inefficient.

In my opinion the most important of the eight rules would be “View Diversely”. Looking at data from different perspectives can open up a whole new outlook on the data being analyzed and that to me is extremely important. A new perspective can be a game changer when creating data visualizations because you are opening your mind to new thoughts and ideas.

In my opinion, the most important rule is “explore”. Everything starts off with exploring. One can’t question something, compare, respond, attend, etc. if there is no starting point. Plus it’s important to discover and explore which data visualization tools will be best to allow someone to perform the other core principles.

I think all 8 principles are equally important because good data visualization has to include all of them. However, the principle “Be Skeptical” stays with me after the reading. Most of us, or at least me, tends to accept the first answer for our question, probably not because exploring further is hard as the article says. In fact, we unconsciously accept what confirms our belief and jump to the conclusion quickly. We are mostly satisfied with the first answer. So I think being skeptical is one of the important things that we should pay more attention at on data visualization.

I believe the most important principle is to “ask why.” You can create as many graphics as you want to visualize data, but if you don’t understand what is happening with data or why the data looks like it does, it is useless. It is important to be able trace the data back to its source so you can take action and use the data in a meaningful way.

I think the most important principle is “Be Skeptical.” One of the main issues with basing decisions off of data is that it can always be wrong or really biased. If the people who are receiving the data are skeptical, they will factor in their own research, second opinions, and common sense when making decisions. It’s important to realize not everything shown in numbers is true., by being skeptical, those who are gathering data will put more effort into being accurate and not just looking for data that proves their theory to be true.

After reading over the Data Visualization: 8 Core Principles article from this week again, I personally believe that most important of these 8 principles is the “Explore” concept. To me, exploring is huge when looking at and analyzing data; seeing what data is out there and what exactly that data means. Exploring also helps us discover and interpret new things when visualizing data, and I believe that this is one of the most important, if not the most important principle of data visualization.

Exploring, makes everything better. In my opinion, the most important principle is to “Explore”. Data is very famous, and there’s billions of it, so exploring is a very important to make the data much better. There may be data on the idea you are looking at, or data that may help you a lot. Also, exploring can cause you to decide what exactly you are looking for or what you are trying to make. So, overall exploring can cause your data to be a hundred times better, and even sometimes making it easier.

I believe the most important principle is to “explore.” An interactive data set allows you to get more out of the data rather than just interpreting on your own. It also encourages the maker to include all crucial data. Given our access to data today, people are more inclined to explore a data set if it is interactive than if it is just presented in front of them.

I believe the most important principle is to “Simplify.” Modern design is all about simplicity. With data visualization, you are going to have a variety of data that will be inter-related; however, you must be able to discern the most important and presentable data from the not so important and focus-oriented data. Afterwards, when presenting the data, simplicity is the ultimate sophistication as data simplified in visuals is much easier to understand compared the complex visuals that are difficult to comprehend.

Out of the 8 core principles, I believe “Simplify” is the most important principle. I feel this way because simplify allows the user to ascertain the key relationship between data, and give him the essence or the most important aspects regarding a certain data set. Simplify does not over complicate or oversimplify data, but enables the viewer to grasp the whole picture or message that the data is trying to communicate. That is why I believe that “Simplify” is the most important principle when it comes to good data visualization.

Since the article addresses the core principles of Data Visualization, I believe the most important one is “Simplify”. Based on the fact that a good data visualization on its essence must be simple enough to “take the burden of effort off brain and puts it on the eyes”, the “simplify” principle represents the core value of the concept of data visualization, and therefore it is the most important one in which all the others will unfold. Once the data is simplified and focus-oriented, one can after compare, attend, explore, view diversely, ask why, be skeptical and respond. In other words, without a simplified visualization of the data presented all other principles are harder to accomplish. Therefore, the simplification must be our starting point.

Although all 8 core principles are essential to evaluate data visualizations, I believe that the most crucial principle is “be skeptical”. I feel that we as a society rely too much on technology and what the internet states; we easily believe what is written on the internet. As the article mentions, we do not question the answers we derive from data visualizations, and we just assume that the first answer we get is correct because exploring data can be tedious. Additionally, we can also be biased, and make wrong assumptions based on other’s opinions or further research. By doing so, we won’t be able to fully grasp the purpose of the data. Thus, it is necessary to be skeptical of the data we are analyzing in order to better understand it.

Of the eight core principles listed, I am most attracted to Explore. Exploring into data is my personal favorite because I already do it on my own. One second you’re on topic A and next thing you know you’re into a random data set and have no idea how you got there cause you’re so intrigued. On top of that, it correlates to regular, every day life as exploring is the best way to learn more about yourself and find new things.

This was kind of a tough choice but I would say the most important would be to respond. People spend so much time gathering and understanding data that it almost wouldn’t make sense not to share what you discovered. Grant it, all the steps of discovering, exploring and critiquing data are important but the sole purpose of data is to help, influence or support ideas in society. If the data doesn’t go beyond the person discovering it, how will we ever know of the discovery?

In my opinion, the compare principle is the most essential to data visualization and for presenting data. Most data alone is very limited in terms of knowledge and what/how you can extract from it. Data is more useful if its used to compare with other data that is either based on historical or estimated values. This provides an opportunity to understand data in a different way and can change the accuracy of an original hypothesis. Also, a visualization that compares two topics is more appealing for the audience and how your insights are received. Comparison is an art more than it is a science, but having visualizations reflecting data collected makes it easier to create.

I believe that the most relevant principle when it comes to data is to ‘be skeptical’ because not all the data is true and verified. This is mainly due to the fact that people do not want to much time on researching data so they just take information from other people who previously gathered it. A good example would be false information on social networks that people take for granted because they are available on a reliable platform such as Facebook. The best advice I could give to someone who is trying to visualize data would be to keep researching without being superficial and rely on the first set of data that he or she finds.

One of the most imperative principles out of the eight listed by the author is that of the “Why”. Even if one can compare, explore, and simplify the data to the best of his/her ability, one cannot soundly explain the fundamental meaning of the data to a normal individual in simple terms, if one does not completely fathom the data oneself. Furthermore, knowing the why will also help the individual comprehend where the results came from, and whether or not to be skeptical about the data, and plausibly how to respond to the data. Thus, since the “why” connects most of the rest of the core principles together, I believe that the “why” is the most imperative, out of the eight core principles.

I think the most important principle out of the eight listed in the article is “Ask why”. When creating data you can have various amounts of data to make that are both serious and not serious. However, without a main purpose or background of the data you are creating the whole data in general that can be useless or even just not something that can benefit something. That is why if you can ask yourself why you’re making this data then it is a useful data and it can benefit others in the future when finding an answer for something.

I think that “being skeptical” is the most important of the 8 principles because we need to be asking more questions. Just because something is in front of you, that does not mean that the information is correct. You want to make sure you are consuming the right information and also producing the right data right back. We must be actively be questioning the accuracy of what we are reading.

To me i believe the most important one of the eight principles is compare. Because if you can not compare the data to anything you can not get any information from the data. For example, if the Philadelphia flyers had 20 wins back in 1995 and we only look at that year,yes we can say it was not a great season. but if tyou look at the wins for every year after that you would be able to see the progression of the team.

Out of the eight principles of data visualization, I believe that “view diversely” is the most important one. Having a variation of insights into data, showing it and connecting it in different ways can help more people understand the data better.

I believe that the most important of the 8 principles in data visualization is being skeptical. I think this because you shouldn’t accept everything as it seems. Rarely are things exactly what they seem; you should always be questioning and diving deeper into everything that crosses your path. If you’ve exhausted all possible ways to look at/interrupt something and you still come up with the same answer, you can be confident in your findings. The more accurate your information, the better your data.

The principle that I believe is most important is being skeptical. It is very possible to come across data that looks convincing but was obtained from an unreliable source. Using unreliable or incorrect data can lead to false information being spread which can be damaging. It is important that people are aware of the information they are being presented and check the sources and references to see if they are reliable. Being skeptical is more than just doubting the data but also making certain that the visual aspects that are presented aren’t being manipulated. It is very easy for people to make bar or line charts with improper scales in order to mislead people about a relationship that may be less significant.

I think simplifying is the most important for data visualization. No one should present a data visualization that is complicated and time consuming to understand. There are many other tasks to work on than looking at a data visualization for an hour.

I think that the most important principal is “ask why”. I believe this because all of the data in the world would be useless without knowing why he data is presenting in the way that it is. Without being able to analyze the data and realizing the driving factors behind it, nothing can be done to reliably manipulate the data and use it to further any causes that the person analyzing it may have.

I think the most important principle would have to be the ‘View Diversely’. Because if we try to understand data in a new way, we can get more useful information. Sometimes, we blocked in data, but if we change our view diversely, we may find an absolutely new answer.

I think “compare” is the most important principle. People are always looking for a better choice of something and compare is a useful tool. For example, people line up to get stuff they want on Black Friday after they compare the price. They know they can get the same thing with a lower price. This principle also applies to business because firms are looking for materials and services with the same quality and lower price.

Ask why, to me, is most important because it provides a reason for doing analysis in the first place. If you aren’t looking for the source of a problem and how it can be solved, there isn’t much point to data visualization. To me, the point is to teach the reader something by creating information, so being able to answer why something is happening is much more important in visualization than anything else.

I think the most important principle is “simplify.” It is important to know when you are oversimplifying, especially based on the audience the data is being presented to. Communication is key. If very few people in the audience have extensive knowledge on the topic, you will probably have to break it down more, but you would not simplify it like you are talking to a class full of first-graders.

I think the most important principle is to “ask why” because this makes you dig deeper into the data that you are analyzing. It allows you to gain more knowledge about the specific data. Asking why can also allow you to realize if the information you have is practical enough for others to understand.

I believe that the compare principle is the most important. This is because one set of data is very limited in what you can derive from it. If you have multiple sets of data that relates to one issue you then can form a hypothesis relating to the problem. Multiple sets of data helps people compare factors that they may never have compared. Lastly, Multiple sets of data help you become more accurate when finding a solution to a problem.

I believe that simplify is the most important data visualization principle in this article. Without simplifying the visualization it is much more difficult to read the data and create a story in my opinion. Having graphics and charts that are easy to understand helps create a story for what the data behind it is trying to tell. This helps with many businesses when they show their profit margins and what departments are the most profitable and efficient. So in my opinion simplifying the data is the most important principle.

I think that the most important data visualization is “simplify” because it is essential in presented the data in an effective and efficient way without over complicating things. Most data that does not look good is because it has too many aspects going on at one time, which is not a beneficial way to present data. But a key factor to remember, is to not oversimplify it either because then you limit the data by minimizing your representation of it.

I would say that simplify is the most important core principle to data visualization. Simplicity is key to displaying data for viewers. By keeping images such as charts or graphs simple and easy to read, it makes it more appealing to viewers while also allowing them to receive and interpret the data easier. Having too much going on in a data visualization is confusing and unappealing. Therefore, simplicity is the most important principle in my opinion.

In my opinion, “compare” is the most important principle out of the 8 core principles, because the data isn’t really helpful if we can’t compare our data to others. In other words, data visualization’s role is maximized when it helps comparing data. Also, as Hoven mentioned in his article we can’t hold the details of our data visualizations in our memory. Therefore, I believe that compare is the most important principle.

Out of the 8 Core Principles, I think the most important one in data visualization is “Be Skeptical”. I think this one is important because as we’ve been learning in class, visuals aren’t always what they seem. You may think they are trying to tell you one thing but it’s a completely different approach. I think being skeptical to data allows you to follow through with the other core principles by trying to make logical sense out of the whole thing.

The most important part of visualization in my opinion is skepticism. When people get 1 answer, they automatically assume it is correct. Because data analysis has become hard, people are becoming lazy to rerun it back. It becomes quite lengthy to do but if you have the wrong data you automatically have invalid data that you can’t do anything with. I feel like you need to make sure your data is set before you go any further with it.

Out of the eight core data visualizations, I believe that viewing diversely is the most important. This really opens up someones mind to other perspectives so you aren’t trapped in one state of mind. It lets you see what else is out there when it comes to looking at data.

Of the 8 core principles for good data visualization, I thought that the most important was the explore principle. This makes the viewer have to do more than just look and retained the information from the visualization, but instead, it makes them have to view through all the data there to get the full just of it. This will, in turn, create more interactive and engaging visualizations of data sets that will better do their job to whom whoever is viewing the data.

Out of the 8 core principles or good data visualization I believe that the most important one is to simplify. I’m not a FOX or MIS major so when I look at data I don’t want to be confused by it or overwhelmed, so I like data to be simple and straight to the point. So simplicity will make data easier to understand and more versatile for people that do not understand more complicated data