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Reflection6-orestropi-Orest-Ropi #84

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14 changes: 14 additions & 0 deletions week1.md
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Article Link:
https://knowablemagazine.org/article/mind/2019/science-data-visualization

The article discusses the lack of quality of data visualization in most scientific research.
I agree with their point that if this was more refined research could be better understood.
I also agree with their point that research funding would increase if donors could better visualize what the data actually represents.
I disagree with their point that pie charts are visually challenging to read when comparing different parts.
In the image pie vs bar they show, there is a lack of color contrast between the different parts of the pie chart and bar graph.
If the color contrast was better the pie chart would be just as effective as a bar graph.
I agree with the point that they make about scientist overusing the rainbow color scale.
When I look at diffrent astronomy images, I find it is often hard to tell the diffrence between visable and non-visable matter.
Scientist also use the rainbow scale when sometimes a simple gray scale is more effecive and simpler to read.
For this article, they should be using more realistic examples when arguing for a certain type of data reperesentation.
For scientist, they should spend more time on data visualization(more research/testing) as it is an important part that should not be overlooked.
15 changes: 15 additions & 0 deletions week2.md
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Link To Reddit Post: https://www.reddit.com/r/Patriots/comments/ar4fo6/the_dynasty_visualized/

![image](https://user-images.githubusercontent.com/73619173/150730743-62ee0671-ac15-44b4-ae35-1bd05508f56c.png)

I chose an data visualization showing the New England Patriots(An American Football team) success from 2001 to 2018.
There are two parts of the visualization.
The top part shows year to year data for the patriots, while the bottom shows an accumilation of statistics during the time span.
I like the use of colors to represent when they made it to the super bowl, won the super bowl, or failed to make it.
I do not agree that there is no index to tell the viewer what each color represents, as some people might not be as familiar with which superbowls they won/lost.
This makes it seem like it is intended for a specific target audience of patriots fans or intense football fans.
I like the choice of colors they used, as it symbolic of the team colors (red, gray, and blue).
I think the boarders on the boxes for each year are underutilized, since they can be used to represent a statistic while conserving space.
The records and trophies are really easy to see with the backround colors that were picked.
Overall I think this is a data visualization that does a good job at serving its intended purpose, but not much more.

12 changes: 12 additions & 0 deletions week3.md
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Article Link: https://searchbusinessanalytics.techtarget.com/definition/data-visualization

This article focuses on the discussion of what is data visualization and how it can be used most effictevly.
The article provides a more business oriented perspective on data visualization.
I agree with their point that data visualization is crucial for determining conclusion from data.
This was discussed in class when it was mentioned as one of the two main reasons to create a data visualization(the other being displaying/organizing solution/data).
The article uses a color scheme that matches up well with its images and the website in general, making it very easy to read.
I was suprised that more than half of money spent on advertisement will be spent online.
This influx of money will make the quality of the data visualization more important.
I like how they show the reader diffrent use cases for data visualization, allowing us to have an idea on how many different fields utilize data visualization.
I don't agree with their listing of data visualization tools, as they have no perticular ranking, order, or description.
Overall I think the article does a great job on informing the reader about how data visualization can be extremely usefull in many fields, as well as the increasing demand for it.
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Link to the 4 interactive data visualizations: https://www.nytimes.com/interactive/2022/02/02/upshot/tom-brady-career-stats.html

This article was posted after the retirment of Tom Brady, an American Football Player.
The article begins with briefly describing that the purpose of the article is to compare his achievements with other players at his position.
I agree with the fact that they have an informal legend when they explain what the highlighted lines mean(active players).
I think this makes the article more inclusive to people who might not be too familiar with American Football.
Another thing I agree with is that they kept the colors simple.
The compare and contrast of grey and blue is easy to see, and they dont stuff the data visualization with an unnecessary complex rgb color scale.
I dont agree with their design choice to make it so a user can select a line.
I think it is far to diffucult to select a line and see the players name.
To fix this I would either make the lines thicker or remove the feature so it does not take away the users attention from their player search bar(which works well).
Overall I like how this article lets you compare Brady's accomplishments in many different ways, while also being able to see some trends in the NFL.
I would say this is the best data visualization I have reflected on so far.
13 changes: 13 additions & 0 deletions week5.md
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link to interactive website:https://govdna.sudox.nl/#layout/dna/country/TUN/x/23/y/32/z/20/a/0

The website is made to show how governments are ranked with one another.
This is done through the representation of a governments characteristics in a "DNA" format.
I agree with their color usage, as everything was easy to read.
I also agree with how interactive the map is.
Almost everything can be clicked to get a better data representation for the item that is selected.
I agree with their use of opacity to represent ranking.
The usage of opacity makes it so a user does not have to select on a particular item to get an undertanding of its' general ranking.
I agree with them allowing the user to view the data in multiple(4) different charts.
I disagree with the design decision to not include a search bar for if a user wants to look for a specific country.
The quantity of countries makes it difficult to look for a specific one.
Overall I think this data visualization uses good colors and is very effective, but is missing some small features that would greatly increase its' effectiveness.
15 changes: 15 additions & 0 deletions week6.md
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image link: https://www.visualcapitalist.com/history-of-pandemics-deadliest/

![image](https://user-images.githubusercontent.com/73619173/154966445-24dec6a1-e7ae-45ef-8ac3-9c07ed0d9152.png)

This is an data visualization(infographic) comparing Covid-19 with other viral diseases in human history.
It acomplishes this goal by using two different types of data visualization.
The first one is a time-based map with all diseases.
I agree with how they made the size of the pathogens relative to their respective death tolls.
I agree that they used opacity to represent which diseases were still ongoing.
I disagree with the use of their grid-box layout, since their vertical lines do not represent anything.
The second data visualization is a legend with all the diseases.
I agree with them deciding to go into more detail for the diseases with a higher death toll.
I disagree with their decision to not have a way to access more information about each disease.
A way this could be done is having a pop up when one of the smaller diseases is clicked.
Overall I think this data visualization is very versatile as it can be distributed as a physical copy with similar effectiveness as the web-based version.