reflection4-jbiss4-jacob-bissonette

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reflections-2

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+https://solarsystemstuff.com/
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+It is its own website, but I've never seen or heard of it before. I've always been amazed but still slightly terrified of space. 
+And I thought this visualization was pretty cool and interactive.
+The orbit of the planets is nice and clear, and I guess I never realized how far away the outer planets are.
+I already thought it was pretty impressive by the zoom feature to see all the asteroids around us, but the interactive feature is really neat. 
+You can click on any of the asteroids to see their respective orbit as well, and it's interesting to see just how different they all are.
+Although I understand its intent, I do feel like it is a little cluttered with the number of asteroids, but since they serves more of an observational purpose it is understandable.
+It does say that it only shows objects larger than 10km because that's what NASA's Solar Systems Dynamics deems a "Near Earth Object."
+But it also is interesting to see how many there are of that size and we don't need to really worry about them.
+It isn't exactly finalized or 100% accurate according to their website, but it is still a very interesting visual nonetheless.

week1.md

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+https://solarsystemstuff.com/
+
+It is its own website, but I've never seen or heard of it before. I've always been amazed but still slightly terrified of space. 
+And I thought this visualization was pretty cool and interactive.
+The orbit of the planets is nice and clear, and I guess I never realized how far away the outer planets are.
+I already thought it was pretty impressive by the zoom feature to see all the asteroids around us, but the interactive feature is really neat. 
+You can click on any of the asteroids to see their respective orbit as well, and it's interesting to see just how different they all are.
+Although I understand its intent, I do feel like it is a little cluttered with the number of asteroids, but since they serves more of an observational purpose it is understandable.
+It does say that it only shows objects larger than 10km because that's what NASA's Solar Systems Dynamics deems a "Near Earth Object."
+But it also is interesting to see how many there are of that size and we don't need to really worry about them.
+It isn't exactly finalized or 100% accurate according to their website, but it is still a very interesting visual nonetheless.

week3.md

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+I've been seeing a lot of Wordle data visualizations recently, especially about how good/strong the first word choices are. I've always liked playing word games. When I was younger and my grandmother would watch me, her and I played a lot of scrabble, boggle, and other fun games together. In scrabble it was always a toss up of who was going to win, but it boggle she showed no mercy and I could rarely beat her. Regardless, it was always fun to do. We did play other games like trivial pursuit, but since that game was from the 80's, I had no chance unless the questions were about music or movies. I like this visualization because it makes it easy to compare vowels against themselves and against consonants. I do feel like this could've been filtered to answer some of my own questions. One of my first thoughts was of course "s" is the most popular fifth letter because it is used to make words plural. Along with that, "e" being fourth makes sense too since if a word has a long vowel sound like "bike" or "gate", it will most likely have an "e" at the end. And if a three letter word ends in a consonant, "-es" may be needed to make it plural, like "bus" to "buses". Other than "e", second position is the most common for each other vowel which I thought was a cool find. This visualization seems like it was made in excel with the default color choices for a stacked bar chart, but I think it works well to display the message of the vis without having any clashing or colorblind issues. 
+
+
+![letter frequency](img/letter-frequency.jpg)
+
+(link: https://www.reddit.com/r/dataisbeautiful/comments/sfqii7/letter_frequency_per_character_position_in/)

week4.md

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+![American Birth Distribution](img/American_Birth.jfif)
+
+There were a few things about this visualization that got my attention. First, my favorite part is when visualizations, like this one, that talk about the U.S. on a state level organize it so that the data resembles the map of the U.S. I also thought it was a good color scheme with the stacked area chart-esque usage. Because each square represents 170 years and no quantitative data is given regarding population numbers, not much numerical analysis can be done. However, overall trends throughout the years can be determined. It is interesting to see differences, such as some states getting a high increase in residents born in other states, while other states have quite the opposite trend. I'm from New York and I was surprised to see that, rather consistently, there aren't too many that were born elsewhere in the U.S. But then again, most people I know would try and leave New York if they could. I also liked how the ommitted data is given as greyed out areas on the square.

week5.md

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+I always like seeing the followage for different social media platforms especially with how things are going on currently in the world, and as someone that uses social media frequently. I'm fairly surprised that Facebook is still growing in popular since they already have so many users. I am curious how much that'll change since Meta might be leaving Europe after the refusal to let Meta collect data on European users. In CS 3043, we discussed the ethics of data and privacy a lot, so it's interesting to see that big companies like Meta don't want to really deal with different regions if they can't collect data on their users. 
+Looking at how popular TikTok is, I wonder what this graph would look like if platforms like Vine were still around. TikTok's popularity and growth is clearly unprecedented this early on, so it'll be interesting to see what it'll look like in the next few weeks.
+Another surprise was how low the number of Twitter users is. With how many government officials and high-profile celebrities use it daily, it seems like we collectively give their tweets morrre significance than there really is.
+Looking at the visualization, even though there are two blues, I feel the colors don't clash with each other and are able to show each platform with thier respective color very well. It also tells the reader what it means by active users, how many years for each platform, and the source of the number of users.
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+![Social Media Users](img/SocialMediaUsers.jpg)

week6.md

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+This visualization actually got my attention because I really don't like how it looks. My first gripe is the color usage. Almost every app I use, I almost have it on dark mode, so the dark grey background doesn't bother me. But, the colors for the bars is, in my opinion, poorly chosen. I can understand why using green for "better" but makes a little less since for "worse" being orange. Also, especially since the background AND one of the three values are grey, making the "better" green makes this chart my dad's worst nightmare because of how colorblind he is. Since the background is dark, I feel like a blue or yellow would be better to use because those colors can be seen by him (his color blindless is pretty severe). Another thing I don't like is the ordering of better-worse-neutral. I think it should be better-neutral-worse or worse-neutral-better.
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+I tried looking through the comments to see who was allowed to/did participate in the survey. Personally, it makes the most since to allow only people that lived through both eras  to avoid only some responses having experience while the other responses have more of a speculation.
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+It is nice how the countries are more spread out and all over: some from Europe, Asia, North America, and Africa. In a more broad and sophisticated survey, I think it would be interesting to go further and be able to filter out why the people of each country had their reasonings of life better, worse, or the same.
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+![Is Life in Your Country Better Now?](img/country-better.png)

week7.md

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+This visualization from r/dataisbeautiful shows the net migration both into and out of California from about 2015 to 2019. I thought this was interesting since our final is based on migration patterns, and this is a nice example of it relating to people instead of animals. Although it has the legened, the sheer number of lines makes it difficult to determine the approximate amount of people going to or coming from each region. But while observing this, there were still a few surprises to me. The first one being the number of people going to Clark County, Nevada, where Las Vegas is. I know Vegas is a popular destination, but never really viewed as somewhere that many people would go to stay for an extended period of time. I also think that just because of the county, the legend for outgoing people is significantly different because not too many lines come nearly close to as many people. And there definitely doesn't seem to be the same number of people coming to any county in California either. Along with the number of lines, the user that posted this said the thicker lines are on top so it is more difficult to see the true number, but having the thinner lines on top would probably be a giant mess. It is interesting to see that some of the larger lines leaving California point toward other cities like Houston and Dallas in Texas, or up to Seattle in Washington. So it could be some people want the city living but possibly want to be somewhere more affordable. It also seems to be that the majority of those coming to California originally resided in the Northeast and the Midwest.
+
+
+![California Migration](img/California-migration.png)