From bb700b17b355405d506847ab877ad4503ae08592 Mon Sep 17 00:00:00 2001
From: BarsoumRose <37802531+BarsoumRose@users.noreply.github.com>
Date: Mon, 14 Feb 2022 11:27:43 -0500
Subject: [PATCH 1/2] Update week4.md

---
 week4.md | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/week4.md b/week4.md
index e69de29..c850c66 100644
--- a/week4.md
+++ b/week4.md
@@ -0,0 +1,9 @@
+Week 4 Reflection
+
+
+Visualization: https://www.informationisbeautiful.net/visualizations/the-hollywood-insider/
+
+This visualization displays every major film from 2008-2016 and their stats ranging from critics review, how much money spent on it, and how much money recovered. The bubbles are placed on a graph with the x-axos iniially being critics % and the y-axis being %budget recovered. There are also ticks on the y axis and the x-axis showing how sucessful the movie was and movies worth watching, respectfully. The axis can also be changed through a drop down menu to any of the stats listed. 
+The color of the bubble represents the genre of the movie and the size of the bubble represents the budget of the movie. Hovering over the bubble shows all the stats for that movie and clicking the bubble brings you to an amazon page for the movie so you can purchase it. 
+I would consider this visualization exploratory because it allows the user to discover new movies. I like the visualization but I almost think there is took much information there. It took me a little longer than I think it should've to understand what was happening. There are just so many options on how to look at the data given which is great but also overwhelming. 
+If i had a chance to fix something I might make the scope of the visualization a bit smaller. 

From e175930cb837820efdf758f8e391a84715363237 Mon Sep 17 00:00:00 2001
From: BarsoumRose <37802531+BarsoumRose@users.noreply.github.com>
Date: Mon, 14 Feb 2022 11:30:58 -0500
Subject: [PATCH 2/2] Update week4.md

---
 week4.md | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/week4.md b/week4.md
index c850c66..8323910 100644
--- a/week4.md
+++ b/week4.md
@@ -3,7 +3,10 @@ Week 4 Reflection
 
 Visualization: https://www.informationisbeautiful.net/visualizations/the-hollywood-insider/
 
-This visualization displays every major film from 2008-2016 and their stats ranging from critics review, how much money spent on it, and how much money recovered. The bubbles are placed on a graph with the x-axos iniially being critics % and the y-axis being %budget recovered. There are also ticks on the y axis and the x-axis showing how sucessful the movie was and movies worth watching, respectfully. The axis can also be changed through a drop down menu to any of the stats listed. 
+This visualization displays every major film from 2008-2016 and their stats ranging from critics review, how much money spent on it, and how much money recovered. 
+
+The bubbles are placed on a graph with the x-axis initially being critics % and the y-axis being %budget recovered. There are also ticks on the y axis and the x-axis showing how successful the movie was and movies worth watching, respectfully. The axis can also be changed through a drop down menu to any of the stats listed. 
+
 The color of the bubble represents the genre of the movie and the size of the bubble represents the budget of the movie. Hovering over the bubble shows all the stats for that movie and clicking the bubble brings you to an amazon page for the movie so you can purchase it. 
-I would consider this visualization exploratory because it allows the user to discover new movies. I like the visualization but I almost think there is took much information there. It took me a little longer than I think it should've to understand what was happening. There are just so many options on how to look at the data given which is great but also overwhelming. 
-If i had a chance to fix something I might make the scope of the visualization a bit smaller. 
+
+I would consider this visualization exploratory because it allows the user to discover new movies. I like the visualization but I almost think there is took much information there. It took me a little longer than I think it should've to understand what was happening. There are just so many options on how to look at the data given which is great but also overwhelming. If I had a chance to fix something I might make the scope of the visualization a bit smaller.