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One section is graphs about Marvel superheroes, the other one is graphs about all characters, regardless of their alignments. At the same time, There are more supervillains than superheroes, and there are still 16.5% of characters didn’t pick up a side. We really liked the flattened affect that illustration images have provided, so we used some of their superhero profile pictures on our graph and found more similar images from the internet. For each super power, we pulled out the winners and show their profile illustrations besides the graph, so that users can easily notice the winners. Marvel Cinematic Universe as a 3-D network Network Visualization / comics , fiction , Marvel The Straits Times visualized the Marvel Cinematic Universe with a 3-D browsable network.… https://www.tor.com/2015/07/20/the-marvel-cinematic-universe-has-more-than-enough-characters-for-captain-america-civil-war/comment-page-1/, https://public.tableau.com/views/MarvelCinematicUniverse_0/MCU?:embed=y&:display_count=yes&:toolbar=no:showVizHome=no. From the chart we can perceive that compare with good characters, the bad people are more likely to keep their villain identity in secret. Also, to make the centred characters more stand out and easier to be visually perceived, we decided to get rid out all the hero’s name labels, and use their profile pictures instead. Layout function helps us define the layout of the network graph, what we are doing here is populating our X, Y, Z coordinates for each node and edge to be placed into our 3D space, Same as how we built the bar chart, we define our data & layout and pass into the Figure function. We wanted to give a general outlook of the superhero’s network in the sense of who usually hang out together or who is the “it” superhero, and we wanted it to be visually aesthetic, so we decided to keep using the Yifan layout. View in a new tab or click to view live version. From the (revised)chart, among the 10 most connected superheroes, we can see that the the best fighter are Captain America (we’re not surprised) and Wolverine; the smartest ones are Iron Man, Mr. We learned a lot more characters and their relations. First off, there are a whole lot of characters in our dataset, lets just keep our avengers and villains, Next we use the igraph libary which is a library for high-performance graph generation and analysis. In a larger sense, we believe I have achieved this goal. The scores for all superheroes were voted by Marvel fans. For more information on installation, visit http://igraph.org/python/, One of the requirement to build this network graph is to express the source and destination nodes as integer values. Plot.ly is very easy to use and the way graphs are constructed is very intuitive. Playing is the most natural way to learn. However, the feedback from users said the visualization turned out to be too much bars thus not visually clear enough, so we decided to narrow the database down to 10 top superheroes. Visualizing Marvel characters and related information would most definitely interest comic book fans. Probably, the reason caused this spike is the publishing of the new series of Uncanny X-Man, X-Man Unlimited as well as X-Men 2099. ... Get data visualization tips every week: New features, special offers, and exciting news about the world of data visualization. From these two pie charts we can see that more characters in Marvel Universe kept their identity in secret rather than reveal it to the public. It’s storytelling with a purpos… The following analysis is an exploration of a dataset related to movie releases between the years 1986-2016. Gold in Unusual. Data visualization : [OC] Captain Marvel took $455 Million in its opening weekend, the second most of any MCU movie [OC] Captain Marvel took $455 Million in its opening weekend, the second most of We selected the top 20 most connected superheroes as subjects. Marvel & DC Visualization. https://drive.google.com/open?id=1ZgD-KGWe8WRDPCuhGMuREg0T7ltv5QpH. Our goal for this project is to expand our knowledge beyond the cinematic Marvel universe and develop a new perspective for the comic Marvel universe. We start off with links by putting our (source, destination) for every node into Edges and pass Edges into our igraph. Therefore, we created two pie charts, two bar charts as well as one area and line chart. It has a beautiful circular layout and viewers can recognize different superhero groups and their relations by different colors. To make the graph more comprehensible, we also made a legend so people could easily understand what the different colors stand for. Villains will be listed in bold.. Excel: Helped us collecting the dataset with xlsx and csv formats. 'S board `` data visualization tips every week: new features, special offers, and only the! Behind all of the Social characteristics of the general populace as well we utilized Openfire clean... 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