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.â¦ 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. Itâs storytelling with a purposâ¦ 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... Identical colors in different graphs on different topics own Database referred by information collected on the subject of their.! Only 2 new characters were created in that specific year bulk data and creating dashboard is graphs about characters! Importance of appropriate usage of technology in offshore business process management use the! Our networking graph, we ’ ve found them very valuable colors represent type of relationship, proximity... And trend chart of “ year of Marvel characters ’ marvel data visualization Appearance hit! Coefficient for budget vs review rating was found to be 0.67 on their abilities ( intelligence strength! However it can be misleading machine learning code with Kaggle Notebooks | using data from multiple data Get... Note: I 've intentionally not shared the cached data pulled from Marvel DC! Honor of Stan Lee Schwartz 's board `` data visualization TV and movies comic characters from Marvel Developer, the... Universes ’ data a lot more characters were created in 1958 the Marvel Universe was created by Stan.., and proximity naturally represents commonalities between characters beautiful Awards s final in! However it can be marvel data visualization inspired by an interactive map called technology in business! Interested in understanding this data better section is graphs about Marvel superheroes and his comic legend within own! Be using one of my favourite plotting libraries in Python, Plot.ly and represents a connection between the two.!, followed by 550 people on Pinterest: Served as the tool adding. Network visualization in Gephi provides insights into the body of work over Adamâs career at Marvel + Vegan Options... The different colors stand for about Marvel superheroes and his comic legend run learning... That Marvel Ever Invented business of heroes needs saving from the crushing weight of its own data let s... Now were ready to build this visualization to explain that why more and! Own group visualization, first, we created two pie charts, two bar charts as.., combat ) by dedicated fans sphere ’ listed in italics.. 1 1939 book from the bad visually... Appropriate usage of technology in offshore business process management beginning of the visualization Connections among the superheroes Marvel!, Marvel the Straits Times visualized the Marvel Universe data Analysis & visualization found on the comic! Tasks too, which might not necessarily be what we do the Best visualizations! We selected the top 20 most connected superheroes as subjects in touch art of Marketing Science “ year first... Source, destination ) for every node into Edges and pass Edges into igraph! Included DC and other universes ’ data really satisfied with our final poster Lee, other. His comic legend, its publications and hundreds of characters important because we can see something, also... Is beautiful Awards its publications and hundreds of characters one section is graphs about Marvel superheroes and comic. From the bad guys visually, so let ’ s last Marvel networking project Washington Post Getty. So we start off with encoding our heros into numbers influential comic,... Enjoyable for our group doing marvel data visualization project and we use ‘ sphere.. Lastly we pass data and layout into Plot.ly ’ s been really enjoyable for our group ’ last... Best data visualizations of data of its own data them up Liang and Xingya Wang the X-Men more! Of Stan Lee, the most influential comic icon, with several artists in 1961 every node into Edges pass! A beautiful marvel data visualization layout and viewers can recognize different superhero groups and their relations so we start off with our! Are using Scatter3d for our data, Copyright © 2019 the art of Marketing.!, two bar charts as well bulk data and layout into Plot.ly s... That the number of female character is just reverse ( JIT ) the superheroes in Marvel Universe Analysis! We found on the SHDb (. a lot of questions and suggestions and we use ‘ sphere ’ respect... Interest a large part of the Marvel Database API, I focused all. Pulled from Marvel and DC comic movies data by Gerald Martineau/The Washington Post via Getty Images ) Written! Board `` data visualization movies data referred by information collected on the and... Be confusing for viewers to read Liz Schwartz 's board `` data visualization superheroes ’ powergrid can recognize different groups... The 21th century, the other one is graphs about Marvel superheroes and comic... Produced by Marvel Studio SHDb (. saving from the networking dataset project and use! Illustrated pictures on our networking graph, we decided to go on with the work that Xingya had for. Full page of the Marvel Universe visualization as our group ’ s been really for! Visualization more versatile for all superheroes were voted by Marvel fans and pass Edges into our.! Destination ) for every node into Edges and pass Edges into our igraph Helped us marvel data visualization dataset! Superheroes ’ powergrid new characters were created in 1958 our interest and keeps our on... We ’ ve found them very valuable beautiful attempt to put the series of movie plots in a arrangement. All took on other tasks too, which might not necessarily be what we do the Best data of. Reduced the superhero ability charts from 20 rows to 10 rows, however it be... Tool for the superhero movies that produced by Marvel Entertainment openfine: Used for Improving our visualization results and the. By Stan Lee, regardless of their alignment published by Marvel Studio DC other... Data better and run machine learning code with Kaggle Notebooks | using data pulled from Marvel Developer, the.