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+https://buckets.peterbeshai.com/app/#/playerView/201935_2015
+
+This site contains different visualizations on NBA player shot charts / heat maps. The reason I find this so interesting is because the heat maps give you a better look at a players habits
+and where they like to shoot from. The other visualizations give a better description on their tendencies. for example the left and right side of the court.
+The bar charts, although simple give a really interesting perspective on how the player performs against other teams by percentage and points per game.
+I dont really like how the site is organized and how the graphs are so close to each other. I think having the graphs be seperate and shown as you scroll down would make it easier
+to read.
+I would set up this site differently to better organize the charts and have an option to choose what type of chart people want to see
diff --git a/week3.md b/week3.md
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+https://www.visualcinnamon.com/portfolio/phone-brand-switching/
+
+This week I came across this website which had visualizations for switching between phone brands.
+I really like the structure and simplicity of a chord diagram. I think this visualization is appealing and easy to understand for many users
+It also made it easier to comperehend what was going on when it comes to trends in phone brands.
+Other than that, I wouldnt say there is much I would change but it would be cool to have this same graph for other countries and see over the last decade
+what was trending
diff --git a/week4.md b/week4.md
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+https://www.visualcapitalist.com/us-economy-by-state/
+
+This week I looked at this visualization by visual capitalist on Americas $20 Trillion Economy by state. I think this is an amazing visualization and is super easy to understand as a viewer.
+The visualization opened my eyes to how big Americas economy is. For example I didnt California had a $2.9 trillion GDP and would be a top 10 biggest GDP worldwide if it was its own country.
+I love this visualization because it not only shows each states contribution in America but also has divisions by region which contribute to the economy. And it comes to no surprise that New york area
+is generating over $2 trillion in economic output. The tables along with the visualization of the data make this a website I loved visiting.
diff --git a/week5.md b/week5.md
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+https://www.databricks.com/blog/2021/04/13/identifying-financial-fraud-with-geospatial-clustering.html
+
+This week I found this spatial data visualization. I find it amazing how these visualizations better help identify who these people are and how they bank. Using the combination of ML and even Uber's H3 
+library is amazing. I find these visualizations very easy to understand as an average reader. On top of this, I love how visualizations like this help cities improve their way of life and target problems
+that they may be facing. Overall, this from of visualization was very interesting to me and I love seeing how these can have huge impacts on the world.
diff --git a/week6.md b/week6.md
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+https://blogs.ancestry.com/techroots/visualizing-family-trees/
+
+This week I looked at ancestory.com to find visualizations of family trees. I love the way the layered graphs are organized and how simple these graphs can be made.
+Seeing the exponential increase in family members is also amazing to see and graphs like this are extremeley useful to manage and organize data. I also like how on some
+of the graphs they are color coordianted by years and the shades of the colors change as time passes. Overall these trees are compact and make it so you need to have a lot of room to
+create them but they are very interesting to see when they become complex.
diff --git a/week7.md b/week7.md
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+https://www.nature.com/articles/srep08298
+
+https://medium.com/@vespinozag/16-network-visualization-tools-that-you-should-know-2c26957b707e
+
+This week I came across this website. I really love the visualizatiosn they used and how it ties in with human anatomy. I think we often times overlook how complex our bodies
+are and these visualizations provide a better understanding of what goes on. I also did research on some of the best tools to do network visualization with.
+The first tool mentioned (Gephi) really caught my eye and is something I eventually want to use in a project. Overall I think network visualization looks amazing but very complex to understand