diff --git a/week2.md b/week2.md
index e69de29..797499a 100644
--- a/week2.md
+++ b/week2.md
@@ -0,0 +1,4 @@
+![image](https://github.com/nadavk2002/reflections/assets/34312348/b94223cf-d5fc-42bc-b441-164f5a5a85bc)
+
+This simple data visualization is a line graph of the streaming service's monthly cost timeline from 2011 to the present. This visualization aims to portray the inflation and increase in the cost of the streaming industry. In a booming industry such as the streaming service industry, this visualization provides clarity to services that have drastically increased their prices in recent years. The colors used for each streaming company are well chosen, granted the services used in the visualization are the eight most popular on the market today. It is interesting how the designer chose for the layout to be on a dark background, and each color appears to glow or have a brighter saturation than the usual colors found in the color libraries I am familiar with. What seems even more difficult, however, is uploading the streaming service logo onto a certain coordinate in the plane and then surrounding the image with the same color its line represents. Given my current skillset, I don't know if I would be able to precisely round the corners of these images as well as round the corners of the lines when they are on a bend in the coordinate plane. This visualization was found on the dataIsBeautiful Reddit page at this user link: https://www.reddit.com/r/dataisbeautiful/comments/19cz93q/oc_streaming_service_price_increases_since_2011/
+While the visualization is simple and definitely more simple than last week's reflection, I did what I could to find a visualization that was closer to my skillset (while still a reach), a similar topic to my last reflection (movie-related), and one that is relevant to life today. There isn't anyone in my life who has not heard of or paid for at least one streaming service represented in the visualization I found, and the rise in cost is significant for many who may not have as much financial freedom as others. 
diff --git a/week3.md b/week3.md
index e69de29..5a54586 100644
--- a/week3.md
+++ b/week3.md
@@ -0,0 +1,6 @@
+https://youtu.be/Z_1Q0XB4X0Y?si=QgONLGj0ThqyvAGG
+https://flowingdata.com/2023/12/21/scale-of-all-the-things-compared-to-you/
+
+My reflection for this week may be slightly unorthodox given the usual requirements, my submission is a video animation of the visualization of size comparisons for things in the universe. I found this YouTube visualization by Kurzgesagt fascinating, not only due to my bias as a subscriber to their YouTube channel. For as long as I have been a Kurzgesagt viewer, the informative video stories have vivid and richly saturated coloring with complex animation that fills numerous different video lengths. Attached in the reflection is the link for this week's FlowingData blog, where the blog post is titled "The Scale of all the Things Compared to You," and the Kurzgesagt video is titled "You Are The Center of The Universe (Literally)." The twelve-minute-thirty-second-long video discusses the concept of size scaling on two fronts: big and small things. Kurzgesagt is a well-known channel with 21.7 million subscribers. Their objective in this video is to scale everything in the universe in comparison to their average viewer. The visualization of the measurements of things measured is beautifully animated to exponentially grow with the concept of the power of 10 in the positive or negative direction depending on the thing talked about. Kurzgesagt focuses on a stark shadowing method of color theory to portray their graphics, and their range of animation goes from linear motion to the facade of three-dimensional movement. I find the flow, bounce, and precision of the visualization are at a level that I cannot achieve and therefore cannot give much more critique for. The image below is an example of what I attempt to describe in terms of scaling, and the placement of lines, numbers, images, image movement, and color are all captivating and I truly am swept into continuing to intake the data being presented to me.
+
+![image](https://github.com/nadavk2002/reflections/assets/34312348/bb697298-45f0-4562-b24b-a861ef7c0d2f)
diff --git a/week6.md b/week6.md
index e69de29..4632b89 100644
--- a/week6.md
+++ b/week6.md
@@ -0,0 +1,3 @@
+![image](https://github.com/nadavk2002/reflections/assets/34312348/89fd92b8-20a8-4a7a-9002-e0f7ee2c3db7)
+
+This visualization titled "The World's Top 50 Science and Technology Hubs" uses a combination of a world map and a bar graph to visualize the tech hotspots worldwide, and as repetitive as that sounds, effectively completes this task. The use of larger "zoom" circles on the map to represent the denser clusters in a region is a good design choice as it allows for quick visual comparison and understanding of the geographical distribution of the world's leading tech hubs. The addition of country labels in the bar graph is a nice touch, providing a visual cue that enhances understanding without needing to read and understand a graph with an X and Y axis. I also find the top 50 city list interesting as well. However, the size, font, and color of the circles on the map could potentially be confusing as it's not immediately clear what they represent and a legend or key explaining these features could be beneficial. The dark theme, while a nice aesthetic, might be difficult to read or see for some viewers, especially if viewed on a device with a smaller screen or in bright light conditions. I am noticing as I write this though I notice that there are interesting shadowed underlays for a few continents as well as text boxes that add historical meaning. This visualization, found on the Visual Capitalist website, is compelling because it provides a lot of information in a compact and visually appealing format. If I were to make changes, I would add a clear legend or key for the map, explaining what the different colors and sizes of the circles represent. I would also consider using a lighter theme or providing a toggle between light and dark modes to cater to different viewing preferences. Additionally, I would consider adding interactive elements, such as tooltips or pop-ups that provide more information about each plot point when hovered over or clicked on, to make the visualization more engaging and informative. This would allow users to delve deeper into the data if they wish, without overwhelming those who prefer a more high-level view.