Jeta Gjana

One of the most relevant skills I learned at my internship was being open to conversation with the other employees. The places I worked at before generally were smaller or had less of a friendly environment. I had only worked at retail environments, and it did not really matter if you were good friends with everyone. I think that is different in an office environment. You are in there with little contact of the outside world. I really needed to get to know who I was working with, because I would go to them for advice about my projects or just general chit-chat. The HR rep is definitely somebody I want on my side. She would sometimes take me out to lunch and helped me out with this class. The IT department is also helpful because they would help me troubleshoot the problems I would come across and didn’t know how to fix. I didn’t realize how much I would use excel in this internship. I knew a lot about the program, but there was plenty of things for me to learn about it.

The most important skills I developed over the summer were project management experience and the importance of communication. I worked with stakeholders, SMEs, and developers in a summer long project and was able to develop PM skills. I was able to plan the project accordingly and meet requirements set by the stakeholders, then work with developers to get the project finished. Some of the developers of the data quality tool I used were based in India, so communication was hard at first. I quickly learned to be specific in questions and requests, and that compromise was necessary when setting up Skype meetings. One person I learned was important to know and have on my side was my manager’s boss. He was the direct of BI at BD and he was always able to give me advice and guide me to be successful. He had the authority to get the necessary things done for my project, so he was a big help.

One important skill I learned throughout my internship was communicating with all the employees. I worked at a start up and so the company was not big. There were about 30 people at the company. Throughout my experience as a software developer intern I have learned to communicate and learn from each other some of the more technical skills. I had the chance to talk to people that use different coding languages and learn why some coding language is better in different projects. I have been introduced to many coding languages I have never used.
Generally keeping a good reputation allows you to have everyone on your side.

I think the most important skill that I have developed since the start of my internship is being able to analyze an assignment and figure out what I need to do and what I need to know. In the beginning of my internship, I would listen to the instructions or what my assignment was and take notes. After that I would go back to my desk and begin working, but often times I would have questions or need additional information. After the first couple of weeks I learned how to evaluate an assignment and quickly figure out what was required of me, how it had to be done, and any additional information I needed. From then on, I was able to ask a few questions or get clarification on the assignment and then complete it much more efficiently.

While it may seem obvious, the most important skills I learned this summer were how to effectively communicate in the workplace and make beneficial relationships. The main reason I say that is because it can make your job so much easier on you. For instance, I did a lot of work with Tableau and SQL this summer and while I would consider myself proficient in both, I was far from an expert. That being said, I knew it would be wise for me to find a colleague that is knows these technologies very well and it turned out to be extremely beneficial. Developing this relationship taught me so much, and I built such a strong friendship that we still communicate regularly.

I think having experience in SQL in necessary for most technical jobs. I did not need to be an expert with SQL queries during my internship, but having basic knowledge was very beneficial. I think most companies utilize SQL so I want to learn more. Another necessary skill is being able to ask the right questions. In the beginning of the internship i was more timid and did not ask enough questions. I learned very quickly that this did not help me and asked more questions. This benefitted all aspects of my work. A person besides my boss that were crucial to my internship was a manager from a different department. She had worked on both the technology and business side, not only was she able to answer my questions she gave me career advice. By the end of the summer she became a mentor to me and I could not imagine my internship without her help.

To me, I think that viewing data diversely is one of the most important points of the 8 Core Principles. Many times, people tend to view data in one way: their own. By viewing data diversely, one opens up the possibility of having numerous interpretations. These different interpretations lead to other ways of analyzing data. Different perspectives have the ability to uncover nuances within data that one may not notice when only considering their own analyses.

I think the most important principle out of the eight from Hoven’s article is Explore. I noticed in class that a lot of the groups picked data visualizations that you were able to interact with. Interactive visuals allow us to explore the visuals more and find new things instead of the visual only answering one question. This also keeps your attention longer so you can be engaged more.

I believe that the most important step of these 8 principles is the first one, Simplify. There is a reason MIS majors are in such high demand in today’s corporate society, to take hundreds of thousands of cells of data into a way a common person could interpret it. From my experience at Pfizer this summer, I often had to take huge sheets, sometimes 500,000 cells, and make pivot tables and graphs in tableau to make things easier to understand for my bosses, aka simplifying.

I believe the most important principal is “simplification”. In a world where everything is so fast moving simplification can be vital. The ability to make a data visualization quick and easy to read is beneficial to the individual viewing it. Getting the point across quickly is the best way to go, the way to do this is by simplifying.

In my opinion, I believe the most important out of the eight principles is “Simplify”. I believe that Data Visualizations are used to display data in a way that nice and easy to interpret the data. If a visual is too complicated for the audience to comprehend, it is basically defeating the purpose of having a visual. Simplifying a visual to where the audience can understand the data at first glance is what makes a data visual a great visual and it fulfills its purpose.

From Hoven’s article, my take away is that the most important principle is to “be skeptical”. When looking at a data visualization, it is easy to take the information as objective facts rather than biased information. However, data is inherently biased because it is collected and presented by people with their own beliefs and objectives. Therefore, as consumers of data, we must look deeply and skeptically into the data that is presented to us, so we can get a more nuanced understanding.

I believe that the exploring principle is the most important. I feel this way because we can increase our knowledge by not just being introduced to what the author wants us to be introduced too. But by also seeing the relationships and interesting correlations that we deem important. Also it helps make the data process more fun which will encourage people to interact with data that much more.

In my opinion, I believe the most important principle out of the 8 is explore. It is very important for people to be able to do as much research as they would like to. Everyone will find knew information to share with the class, and then more things will be discovered. If explore was not one of the options, people would be looking and analyzing the same set of data, without finding anything new.

To me, I believe that the most important principle is explore. When it comes to something that is involving data, you should be exploring every and all types of data. It is important to get the most for your data set because then it will be more accurate.

To me the most important principle is explore. When dealing with data it is important to be exploring all and every possible piece of data. You want to be able to get the most data so exploring all options is the way to get. The more data will call for more accurate results.

I believe the most important principle Few mentions is “Simplify.” Simplifying and being able to filter through the data that is valuable, allows for anyone viewing the visualization to have a better understanding of it. There is countless amounts of data to put into one visualization to begin with. The time consumption in going through the important data is extremely worth it, especially for students when needing to look up data that is subject specific. Data visualizations and infographics should be able to provide the viewer with simplistic instant information that is easily understood.

In my opinion, the most important principle Few mentions is “simplify.” Simplifying data to be easily read and visualized, benefits the viewer to understand the topic in a different yet informative way. Infographics and data visualization with excessive data do not benefit the viewer when trying to understand subject specific topics. Keeping a viewers attention to a clean and simple data visualization, will allow for the topic to be easily compared and understood.

I feel that the most crucial point that Few discusses is “Ask Why.” What causes data to look the way it does always has a reason and that can be more important than the data itself. Without answering the question of why something is the way it is, data is nothing but a meaningless table of numbers, there must be reasoning to provide value.

From Stephen Few’s article, I believe the most important data visualization principle is simplify. Data visualization is used so viewers can better understand the data they are supposed to understand. Some people are visual learners, thus simple yet accurate visualizations can be a great tool. When data visualizations are too complex, no one can understand them.

According to Stephen Few’s article, I believe the most important data visualization principle is to simplify. Data visualizations are used so the people using them can better understand their data. Since some people are visual learners, these can be a great tool. However, if data visualizations are too complex, no one will be able to understand them.

In my opinion, I believe that “View Diversity” is the most important principle of data visualization. If you are able to view data in several different ways, it enables you to truly get a good understanding of whatever it is you are looking into. Being able to look at data from several different perspectives is extremely helpful in that you have more to compare. Without “diversity”, all you would be doing is looking at one data set, represented in one way, and basing your opinion/research solely based off of that. Having several representations of that data gives you more to look at, and more to base your opinion off of, which is why I believe it’s the most important.

I believe that the most important principle from the article is “simplify.” The entire point of data visualization is to make it understandable and readable for everyone. By making an elaborate and complicated visualization, that defeats the purpose. A visualization can be accurate and full of information but if it is not simplified, it won’t be easy to obtain the information provided by it.

In my opinion, “simplify” is the most important of the 8. Too often data visualizations become too bogged down with unnecessary pieces, and the focus becomes diluted. Complex visualizations are counterproductive for this reason, as visualizations are supposed to and facilitate understanding of data.

For some reason, it doesn’t seem like my first comment posted successfully, so this is attempt #2. I believe that “simplify is the most important of the 8. Very often we see data visualizations become bogged down with unnecessary information or imagery, and it diluted the main focus. This is completely counterproductive, as the purpose of a data visualization is to facilitate understanding of complex data.

I believe “simplify” is the most important principle from Hoven’s article. One reason would be that many times data is misinterpreted or misleading because of too much information being giving. I know for me I understand things better when there is less and that may be true for others as well. Another reason is because too much data or complex visualizations are not always accurate.

I believe the most important principle from Hoven’s article is “simplify.” One reason is because too much data makes it difficult for readers to understand the data given. So I am a firm believer of the less the better. Another reason is because complex visualizations causes people to misinterpret data. Therefore accurate and simple visuals help others understand the data that is being given.

Looking over Hoven’s article, I feel that the most important principle is “being skeptical”. We have all the world’s data at our fingertips, and as such we never really question it. If we were to take a step back and question how and why we get our data, it will allow us to understand it at a higher level. It will allow us to learn and grow from all the data that we consume.

I believe the most important principle that Hoven discussed is to “be skeptical”. Being skeptical is what stands out as the most important core principle in data visualization because of how tunnel visioned we can become. By being a skeptic, it allows for more opportunities for discovery or validation to your already existing data.

The most important principle that Hoven discussed was to “be skeptical”. Being skeptical is what stands out to me as the most important core principle in data visualization because of how tunnel visioned we can become.By being a skeptic, it allows for more opportunities for validation for your already existing data.

believe the most important step is View Diversely. We should be able to separate ourselves and our own opinions from the specific data. It is valuable to look at data and try to see it from different perspectives. If we do this, we can see how this particular data can influence and effect other people besides ourselves. Doing this, will show who this particular data will be the most beneficial for.

From Hoven’s article the most important principle in my opinion is “Simplify”, it seems to me that this is in essence what a good data visualization attempts to provide. The simplification of larger data sets into something that is simpler to read and draw conclusions from is really the core idea behind any data visualization. The other principles help provide a more effective communication of the simplified data, but without a simplified data set the concept of clearly communicating any idea becomes difficult regardless of the graphic or medium used to communicate.

I think all of Stephen Few’s principles for data visualization are important, but more so then the others to “Simplify”. The whole purpose of a data visualization is to simplify data sets and make them easy to read. Few put simplification as the first principle for a reason, because if reading the data visualization is as simple as reading the raw date then their is no point in the visualization at all.

When looking at the article, I believe that the most important of the 8 principles would be the simplify step. Being that people in the field have to work with such large amounts of data, simplifying helps everyone by pulling out key information and getting to the point. The entire point of MIS is to draw conclusions from the data that you are analyzing, so the simplification step is extremely necessary for the information to actually mean something to those who are using it.

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.