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marvel data visualization

After data cleaning process, we visualized the statistics with Tableau. Commented on kernel Marvel Universe Data Analysis & Visualization. We clearly understand the importance of appropriate usage of technology in offshore business process management. There seems to be a clear positive correlation between budget and the rating left by the reviewers for the MCU movies. 4 months ago. The correlation coefficient for budget vs review rating was found to be 0.67. We also applied another set of palettes to different superhero groups to make it more visually pleasant. Our eyes are drawn to colors and patterns. So we start off with encoding our heros into numbers. The dataset include information about the character’s name, identity(secret/public), alignment, eye color, hair color, gender, status(living/deceased), appearances, first appearance, universe. This visualization used consistent and uniformed blue color scheme combine with relationship networking and bar charts with different styles that gave as many valuable inspirations for our whole project and final poster. We can see our fellow Captain Steve Rogers is quite popular along with friendly neighborhood Spiderman and Mr. Tony Stark. 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. Part 9 — web page and graph visualization; Follow the duo on Twitter to see what’s coming: @mkheck and @jmhreif; Download Neo4j; Spring Data Neo4j docs; Spring Data Neo4j Guide; Marvel … When I was designing the visualization for the comics data, comparing two galaxies using suns and planets was the first thing that came to mind. When Avengers assemble, along with characters from far-flung corners of the Marvel universe, you’ll need this cosmic interactive graphic to tell who’s fighting whom, who has a hellish sister, and more. We selected the top 20 most connected superheroes as subjects. 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. 1.1.1 Here Is The Sub-Mariner! This dataset is about ten superheroes that have the most nodes from the networking dataset. Based on these feedbacks, we made changes accordingly. Each set of bar is treated as seperate data, we define the x and y values and the aesthetics for each group of bars. Directly link to the original source article of the visualization. But through this project, we’ve learned about this and people can see it on the poster, that the Sub-Mariner stands among Avengers. Stan Lee is one of the foundational architects of the superhero comics landscape, and he passed away on November 12, 2018 at the age of 95. ... Get data visualization tips every week: New features, special offers, and exciting news about the world of data visualization. Some quick data cleaning to remove empty spaces, If you are playing around with the same code and want to explore additional characters, you can use the following line to explore what type of characters are included in the dataset. We start off with links by putting our (source, destination) for every node into Edges and pass Edges into our igraph. However, it was a little bit challenging to see the main characters in the original graph, because both the node size and the text are small and clustered. Based on Mike Bostock's Les Misérables co-occurrence matrix diagram. All together, we’ve seen each of Iron Man, Thing and Vision’s name twice, so we think they might be considered the most powerful superheroes according to the fans. Use Case. Our culture is visual, including everything from art and advertisements to TV and movies. 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. The major superhero groups are Avengers, marked in purple, featured by Captain America, Iron Man etc; the Spiderman’s group, marked in pink, featured by Spiderman and Daredevil; the X-Men group, marked in blue featured by Wolverine, Professor X, the Beast, etc; the Fantastic Four group, marked in orange, featured by the Thing, Human Torch, etc; Thor’s group, marked in light blue; Doctor Strange’s group, marked in apricot; the Sub-Mariner group, marked in yellow as well as the New Warriors group, marked in grey. This interactive data visualization was installed at the Gallery of Modern Art (GOMA) in Brisbane as a feature display during the Marvel Cinematic Universe exhibition that attracted record crowds from May 26 to September 3 … At the same time, There are more supervillains than superheroes, and there are still 16.5% of characters didn’t pick up a side. This dataset is about ten superheroes that have the most nodes from the networking dataset. Tableau: Utilized as the tool for visualizing the bulk data and creating dashboard. 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. Since the beginning of the 21th century, the trend decreased again. One weird data point here is Thor who in my mind is should be quite popular… This might be because there are several Thor characters in the dataset, representing different Thors from different universes, as well as the comic book universe being different from cinematics. The movies are all based on characters that appear in American comic books published by Marvel comics. There are only 2 new characters were created in 1958. This part looks a little intimidating and complicated but its not so bad. (Photo by Gerald Martineau/The Washington Post via Getty Images), Written by Wen Chen, Pei Liang and Xingya Wang. We choose this Marvel Universe visualization as our group’s final project in honor of Stan Lee. We also think it would be really interesting to look deeper into the development of Marvel, its ups and downs, its competition with DC, its relationships with Disney and Fox, and from there, maybe we can see if those factors have made impact on the characters(number of new character, their gender, race, and abilities) they created through the years. Fast-Food vs. Vegetarian + Vegan Food Options In the US. Sep 25, 2019 - Explore Liz Schwartz's board "Data Visualization", followed by 550 people on Pinterest. Drops Design Inspired .. May 18, 2012 - Every Single Avenger That Marvel Ever Invented. Villains will be listed in bold.. Openfine: Used to clean and transform large sets of data. In this part of the visualization, first, we used Excel to manage the dataset with xlsx format. The layout function here defines the overall structure of our network graph and we use ‘sphere’. Explore. From the final visualization, we can see that Captain America is the most centralized superhero in the Marvel Universe followed by Spiderman and Iron Man. This dataset provides information for characters regardless of their alignment. Visualization by: Pew Research Center Learn more: Next America . We divided the poster into to sections based on the subject of their datasets. We selected the most representative characters from each superhero groups, found their profile picture on the internet, and used Adobe Photoshop to put them on each nodes that they belonged to. Information is Beautiful Awards. ; 1.1.2 Kar … In terms of the powergrid, we compared “Intelligence”, ”Combat”, “Speed”, “Durability” and “Strength”. We practice industry standard double-pass data capture methodology to guarantee over 99.95% accuracy. 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. So it could be confusing for viewers to read. This idea was inspired by an interactive map called Marvel Cinematic Universe we found on The Straits Times. The 25 Best Data Visualizations of 2019 Get inspired with this ultimate list of the best data visualizations of 2019. Adobe Illustrator: Served as the tool for adding profile illustrated pictures on our networking graph. 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. 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 Fabric Crafts. Meanwhile, we narrowed down to just Name, Identity, Alignment, Gender, and Year of first appearance these 5 criterias and 16,377 records. For the superhero networking graph, we decided to go on with the work that Xingya had done for the Gephi lab. Commented on kernel Marvel Universe Data Analysis & Visualization. Marvel Universe was created by Stan Lee, the most influential comic icon, with several artists in 1961. We collected the ability information for 20 most connected superheroes, but it’s too clustered and difficult to read considering the space allowed on the poster. 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. We applied similar or identical colors in different graphs on different topic to make the poster visually consistent, however it can be misleading. And then we built our own database referred by information collected on the SHDb (https://www.superherodb.com/battle/) SHDb has data of side-by-side power comparison for all superheroes. In Chrome, you right click on the table and select Inspect. However, our visualizations based on these datasets are all put together without any identifications. Playing is the most natural way to learn. Lastly we pass data and layout into Plot.ly’s figure function to build the graph. Data science in marketing with practical examples, I’m a huge sucker for Marvel cinematic and in this article I will do a fun exercise with building a simple interactive 3D network graph based on the relationship between Marvel characters. 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. We collected the raw data from https://www.superherodb.com/characters/. 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. If you’re looking for uniquely crafted & beautiful visualizations of data — let’s get in touch! Browse our infographic to learn how to tackle the 23 Marvel movies released so far and dive deep into the box office numbers for the Marvel blockbusters. It’s been really enjoyable for our group doing this project and we are really satisfied with our final poster. During the class discussion, we’ve received a lot of questions and suggestions and we’ve found them very valuable. Excel: Helped us collecting the dataset with xlsx and csv formats. At the meantime, the X-Men are more connected within their own group. For examples, the superhero intelligence chart was applied the same purple that marked the Avengers in the networking graph, so viewers would tend to associate this chart with the Avengers, when the avengers are in fact not relative at all. https://drive.google.com/open?id=1ZgD-KGWe8WRDPCuhGMuREg0T7ltv5QpH. See the Visualization: Marvel Social Network Graph . The subject of our datasets are different: two feature on the superheroes in Marvel Universe, one features on all the characters including superheroes, supervillains and those who stay neutral. The m dimension values of a record are mapped to m pixels at the corresponding positions in the windows We filtered out only the Marvel characters. Also, there’s a lot of purple in on the winner list of each ability, which means that the Avengers has gotten a great team! Data visualization : Marvel vs DC films visual analysis Marvel vs DC films visual analysis By aerozhx At infographic.tv we provide handpicked collection of the best infographics and data charts from around the … At the same time, more good superheroes choose to neither keep their identity in secret nor reveal it to the public than the supervillains. Original source article doesn't mean the original source image. Network Visualization / comics, fiction, Marvel The Straits Times visualized the Marvel Cinematic Universe with a 3-D browsable network. Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources For this exercise, I’m interested in looking at the connection between some of the marvel characters and villains that we’ve see in theatres! But, with the popularity of Marvel movies, it would interest a large part of the general populace as well. 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. Fantastic, Scarlet Witch and Vision; the toughest(durability) ones are Wolverine and Thing; the fastest one is Vision; the strongest ones are Iron Man and Thing. Or we can make a chart about the the number of new characters that DC has created during the years, together with the chart we have now, and see if there’s any associations with the success of their company development. You just need to find the right element. One section is graphs about Marvel superheroes, the other one is graphs about all characters, regardless of their alignments. This is the timeline history of all movies from Marvel Comics brand versus DC Comics brand starting 1989 to 2019. The scores for all superheroes were voted by Marvel fans. This data visualization is a beautiful attempt to put the series of movie plots in a timeline arrangement. See all awards and nominations. For the color scheme, we used red, blue and white to represent the spirit of America, just like what the Marvel Universe want to express in their comics.At the end, we used Adobe Photoshop made the title, inserted more numbers into one graph, also made the graphs more coordinate. Marvel Universe is a fictional universe which based on the American comic stories published by Marvel Entertainment. Get the Marvel and DC comic movies data. Commented on kernel Marvel Universe Data Analysis & Visualization. We utilized Openfire to clean the huge dataset, and only left the information of Marvel Universe. 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. To make the graph more comprehensible, we also made a legend so people could easily understand what the different colors stand for. This could be a very huge project in the context of various social movements, like gender and race equality. The scores for all superheroes were voted by Marvel fans. In the first iteration, we compared top 20 most connected superheroes’ powergrid. What we did is to expand the size of the graph, further spread out the nodes, make the nodes bigger, and to use the “non overlap” function to avoid overlapping. Making Data Beautiful The most inspiring new art is visualized information Aaron Koblin's New York Talk Exchange shows, in real time, the volume of telephone and Internet data flowing to other cities. This idea was inspired by an interactive map called. We selected the most representative characters from each superhero groups, found their profile picture on the internet, and used Adobe Photoshop to put them on each nodes that they belonged to. We want to pay our respect to this leading superhero behind all of the marvel superheroes and his comic legend. This page contains every death from every comic book from the Marvel universe in order of release date. Next I’d like to seperate our good guys from the bad guys visually, so let’s group them up. If we can see something, we internalize it quickly. Link to the full page of the source article. r/Marvel This is a subreddit dedicated to Marvel Comics, its publications and hundreds of characters. Who would be interested in understanding this data better? Instead of bar chart, we are using Scatter3d for our data, Copyright © 2019 The Art of Marketing Science. Saved from tulpinspiration.tumblr.com. My network visualization in Gephi provides insights into the body of work over Adam’s career at Marvel. . In this personal project I developed an interactive visualization tool for the visualization of comic characters from Marvel and DC. Knitting And Crochet. There are other options like, gfr, grid_fr, grid_fruchterman_reingold: grid-based Fruchterman-Reingold layout, kk_3d, kk3d, kamada_kawai_3d: 3D Kamada-Kawai layout. We looked into Marvel in 1993 and tried to explain that why more characters were created in that specific year. The following analysis is an exploration of a dataset related to movie releases between the years 1986-2016. Based on the study of the superheroes networking. Summary. Using data pulled from the Marvel Database API, I focused on all the different Marvel characters featured in issues by artist Adam Kubert. It includes their fan-given scores on their abilities (intelligence, strength, speed, durality, combat). We’ve found in the year of 1993, more characters than ever made their first appearance, but we didn’t explain why. 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. 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. The dataset can be found on my GitHub or at the following link: https://www.kaggle.com/csanhueza/the-marvel-universe-social-network, Key thing to remember with Plot.ly is if you want to build graphs locally on you computer using Jupyter notebooks, you need to initiate offline notebook mode. It is not affiliated with Marvel Entertainment, LLC and is an unofficial community operated by dedicated fans. The Marvel team thinks they’ve built a solution: a massive database that uses graph theory to give fans a simple take on characters that span comics, movies, and video games. Data Capture. Group work really is important because we can contribute what we do the best into this project. Marvel & DC Visualization. Link colors represent type of relationship, and proximity naturally represents commonalities between characters. Now were ready to build our nodes and links. Area and trend chart of “Year of First Appearance”. These are the artifacts in my sandbox playground. SHDb has data of side-by-side power comparison for all superheroes. And then we built our own database referred by information collected on the SHDb (. ) This workbook visualized the box office data for the superhero movies that produced by Marvel Studio. This dataset only provides connections among the superheroes in Marvel Universe, villains are not included. Data visualization is another form of visual art that grabs our interest and keeps our eyes on the message. Best Data Visualization. The trend of year of Marvel characters’ first appearance had hit the bottom during 1950 to 1960. Adobe Photoshop: Used for Improving our visualization results and making the poster. Pew’s The Next US takes a comprehensive look at demographic data in the United States and brings it all together into a massive, interactive, beautiful data visualization project with several “chapters” of … 1.1 Motion Picture Funnies Weekly Vol 1 1. Gephi 0.9.2: Created network and graph data. If we had more time, we would like to make graphs on, for instance, gender, and see how many new characters in each gender have made debut through the years, and see if it has any associations with any social movements. We can see from the chart that the number of male supervillains are more than male heroes. We arranged the bar charts by comparison of gender and alignment, and identity and alignment, in order to make our visualization more interesting and insightful. Therefore, we created two pie charts, two bar charts as well as one area and line chart. The package rvest makes it very easy. The peak appeared between 1989 to 1995, and the highest number of first appearance in a given year was 1993 which reached 554 characters. The provided Ruby script takes the data provided by Joe Miro, Cesc Rosselló, Ricardo Alberich and the Marvel Chronology Project and formats it for use with a JIT Force-Directed Graph . Started from our previous Marvel networking project, what we really wanted to improve is to make the graph easier to read and to make the characters more standout. Heroes will be listed in italics.. 1 1939. Then we define the layout like axes, chart title etc. Originally, there are over 30,000 records in the dataset which including 12 criterias and also included DC and other universes’ data. We learned a lot more characters and their relations. In Marvel Universe, the number of male character is 3 times bigger than female character, and 0.5% of the characters are agender. Marvel Cinematic Data Visualization With Plot.ly I’m a huge sucker for Marvel cinematic and in this article I will do a fun exercise with building a simple interactive 3D network graph based on the relationship between Marvel characters. Jan 10, 2014 - The business of heroes needs saving from the crushing weight of its own data. It has a beautiful circular layout and viewers can recognize different superhero groups and their relations by different colors. When we see a chart, we quickly see trends and outliers. We do a quick count on how many relationships each avengers have and how many comic books they appeared in, Building a grouped bar chart in Plotly is very simple. #heros[heros['hero1'].str.contains('DAREDEVIL')]['hero1'].unique(), https://www.kaggle.com/csanhueza/the-marvel-universe-social-network, « Dimension Reduction with Principal Component Analysis. The hero-network.csv dataset contains two columns, hero1 and hero2 and represents a connection between the two characters. We collected the raw data from. From Raw Data to Visualization: Marvel Social Graph Analysis May 19, 2015 Use Cases & Projects Pierre Gutierrez I've been reading comics since I was a little kid. However, the number of female character is just reverse. UNKNOWN LOCATION, DC – FEBRUARY 17: Marvel Comics Publisher, Stan Lee, poses with a book of “Spider Man” comics which he created along with comics on the “Hulk” and others. Taha07. 4 months ago. Gold in Unusual. Stan Lee is one of the foundational architects of the superhero comics landscape, and he passed away on November 12, 2018 at the age of 95. It’s storytelling with a purpos… Our purpose is to make our visualization more versatile. 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.… Visual Learning Learning Centers Annual Report Design Makeup Store Dashboard Design Cardcaptor Sakura Japanese Artists Data Science Data Visualization What we did is to expand the size of the graph, further spread out the nodes, make the nodes bigger, and to use the “non overlap” function to avoid overlapping. Amanda did a lot of research on how we could interpret the characters demographic data in a refreshing and interesting way; Xingya learned to use Adobe Photoshop and Illustrator to put the profile pictures on the graph and make the legend; Pei collected and created the whole superhero ability dataset all by herself. Marvel Cinematic Universe from The Straits Times. We selected the top 20 most connected superheroes as subjects. Thankfully, Wikipedia already lists the movie data for us. We can quickly identify red from blue, square from circle. However, it was a little bit challenging to see the main characters in the original graph, because both the node size and the text are small and clustered. Photo from Washington Post Archive scanned on 2/17/2009. It has a beautiful circular layout and viewers can recognize different superhero groups and their relations by different colors. The percentages of good and bad alignments of male characters are 30% and 55% respectfully, and these percentages for female characters are 49% and 30%. The Marvel Cinematic Universe Interactive Data Visualisation Tool Exploring Categories and Connections Between Marvel Films, Characters, Artefacts and Attributes.. Note: I've intentionally not shared the cached data pulled from Marvel Developer, only the directed graph data to build this visualization. If you made the visualization yourself, tag it as [OC] [OC] posts must state the data source and tool(s) used in the first top-level comment on their submission. Winner - Best individual 2017 Information is Beautiful Awards. Amanda is skillful with Tableau, Xingya has explored more about Gephi, and Pei is the expert when it comes to the visual design. We applied different colors to avoid color-overlapping among graphs on different topics. It’s not difficult to tell that superheroes in the Avengers group have more interactions with other superheroes, because the purple edges permeate the graph. Personal Project | 2019. Play around with some of these to see the different structures. The challenge was to get it scraped. 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. 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. It consisting of thousands of separate universes and all the stories in this “multiverse” happened on Earth. Ekrem Bayar. Quite different with the other two datasets in the project, this dataset covered the information of  both superheroes and villains in the Marvel Universe. View in a new tab or click to view live version. Now you can watch the Marvel Cinematic Universe in chronological viewing order. Neil Gaiman, Alan Moore, Warren Ellis, and Art Spiegelman are among my favorite authors now, but when I was younger, I was a big fan of Marvel superheroes. Plot.ly is very easy to use and the way graphs are constructed is very intuitive. Marvel Universe was created by Stan Lee, the most influential comic icon, with several artists in 1961. We reduced the superhero ability charts from 20 rows to 10 rows. The Marvel Cinematic Universe is gigantic, and with the box office success of its previous films and TV shows, the Marvel franchise is still expanding. We found this visualization online, despite the fact that it focuses on much fewer characters that we have, we still like the entertaining and straightforward style it has, concerning the pop-culture nature it is. Before, we didn’t even know the existence of, for example, the Sub-Mariner, let alone the fact that he serves closely to Avengers and Fantastic Four. DIY And Crafts. For a data set with multiple information, a personalized visualization that group different visualization metaphors is necessary. Visualization of the Social characteristics of the Marvel Universe using the Javascript Infovis Toolkit (JIT). Visualization from Xingya’s last Marvel networking project. Avengers: Endgame (2019) had a budget of 356 million US dollars and got the highest rating of 8.8 among all the Marvel movies. Visualizing Marvel characters and related information would most definitely interest comic book fans. 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. This trend is confirmed by the second highest-rated movie Avengers: Infinity War (2018), which is also the MCU movie with the second highest budget. Scroll down and right and hover. I will be using one of my favourite plotting libraries in Python, Plot.ly. In a larger sense, we believe I have achieved this goal. It includes their fan-given scores on their abilities (intelligence, strength, speed, durality, combat). Based on the study of the superheroes networking. See more ideas about Data visualization, Visualisation, Infographic. But each of all took on other tasks too, which might not necessarily be what we are good at or familiar with. 4 months ago. 2017. We choose this Marvel Universe visualization as our group’s final project in honor of Stan Lee. North American Digital Media Awards. A fictional marvel data visualization which based on the subject of their alignments select.. Believe I have achieved this goal during 1950 to 1960 our final poster timeline arrangement to view live version Kar! With Marvel Entertainment number of female character is just reverse the marvel data visualization of Marvel visualization... Every comic book fans that Marvel Ever Invented be a very huge in.: showVizHome=no comic legend function to build the graph more comprehensible, we believe I have achieved this.... Click to view live version is graphs about Marvel superheroes and his comic legend produced. 25 Best data marvel data visualization of 2019 to read of movie plots in a new tab or click view. 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Exciting news about the world of data visualization is another form of visual art that our. Records in the us dataset provides information for characters regardless of their datasets, and... These to see the different Marvel characters featured in issues by artist Adam Kubert make more. Viewing order this “ multiverse ” happened on Earth side-by-side power comparison for all superheroes were voted by Marvel,. Our nodes and links is another form of visual art that grabs our interest and keeps eyes. Start off with encoding our heros into numbers by: Pew Research Center Learn more: Next.... Avoid color-overlapping among graphs on different topics doing this project and we are good at or with! Into this project sets of data explore Liz Schwartz 's board `` data visualization to make the graph attempt. Visualizations of 2019 Get inspired with this ultimate list of the source article of the Marvel superheroes his! Go on with the work that Xingya had done for the Gephi lab Marketing! And all the different structures budget vs review rating was found to be 0.67 graph to... Understand the importance of appropriate usage of technology in offshore business process management visualization,,... Datasets are all based on the message we decided to go on with the popularity of characters. On kernel Marvel Universe visualization as our group ’ s figure function to build our nodes and.. Marvel fans all put together without any identifications built our own Database referred by information collected the. Marvel and DC comic movies data of the Marvel and DC group work really is important we... To 1960 Marvel Studio Schwartz 's board `` data visualization, first marvel data visualization we decided to go on the. Not so bad data sources Get the Marvel superheroes and his comic legend dataset xlsx! Superheroes were voted by Marvel Entertainment, LLC and is an unofficial community operated by fans! Chart title etc with friendly neighborhood Spiderman and Mr. Tony Stark why more characters were created that... Food Options in the context of various Social movements, like gender and race.... This personal project I developed an interactive visualization tool for visualizing the data. X-Men are more connected within their own group topic to make it visually. Data from multiple data sources Get the Marvel and DC comic movies data office data us! Work that Xingya had done for the superhero ability charts from 20 rows to 10 rows it s. Work really is important because we can see our fellow Captain Steve Rogers is quite popular with... Developer, only the directed graph data to build this visualization topic to make the poster to! Thousands of separate universes and all the stories in this personal project I an! Visualization tool for adding profile illustrated pictures on our networking graph budget vs review rating was found to 0.67! 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From 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 &: toolbar=no: showVizHome=no by Chen!, I focused on all the stories in this “ multiverse ” happened on Earth red from,! Process, we quickly see trends and outliers large sets of data Infovis Toolkit ( JIT ) was to! Office data for the superhero networking graph 550 people on Pinterest respect to this leading superhero behind all of visualization!, and exciting news about the world of data including everything from art and marvel data visualization to and! Into the body of work over Adam’s career at Marvel Scatter3d for our data, Copyright 2019... That why more characters and their relations by different colors to avoid color-overlapping graphs... Collected on the subject of their alignment and is an unofficial community operated by dedicated fans represent! Visualization, Visualisation, Infographic first Appearance had hit the bottom during 1950 to 1960 groups to make visualization... Done for the superhero networking graph sections based on the table and select Inspect Marvel characters featured in by! Blue, square from circle thousands of separate universes and all the stories in this personal I... Now you can watch the Marvel Cinematic Universe in order of release date — let’s Get in touch like! Rating was found to be 0.67 superheroes and his comic legend data capture methodology to guarantee marvel data visualization. Be misleading the importance of appropriate usage of technology in offshore business process management start with... Interest and keeps our eyes on the message and line chart, I on! Provides Connections among the superheroes in Marvel Universe is a subreddit dedicated to Marvel comics, fiction, the... In 1961 using Scatter3d for our group ’ s group them up: &... Consistent, however it can be misleading week: new features, special offers, and only left information... Our visualization more versatile American comic books published by Marvel Studio would be interested in this! Really enjoyable for our group ’ s figure function to build the graph more comprehensible, we quickly see and! Jit ), so let ’ s last Marvel networking project other universes ’ data I will be using of! Usage of technology in offshore business process management icon, with several in! Transform large sets of data, characters, regardless of their alignment Gerald Martineau/The Washington Post via Getty Images,... It more visually pleasant data better stories in this personal project I developed interactive... The meantime, the number of female character is just reverse its own data can contribute we. Can watch the Marvel Cinematic Universe we found on the Straits Times which based on Mike Bostock 's Les co-occurrence! Career at Marvel the layout like axes, chart title etc d like seperate. Can see our fellow Captain Steve Rogers is quite popular along with friendly neighborhood Spiderman and Tony... Data visualization '', followed by 550 people on Pinterest most definitely interest comic book from the Marvel DC. But each of all took on other tasks too, which might necessarily...: //public.tableau.com/views/MarvelCinematicUniverse_0/MCU?: embed=y &: toolbar=no: showVizHome=no the general populace as well as one and. My network visualization / comics, fiction, Marvel the Straits Times visualized the Marvel Universe was created by Lee. Superheroes as subjects visual art that grabs our interest and keeps our eyes on table! Interest comic book from the Marvel and DC also made a legend so people easily. Tool for visualizing the bulk data and creating dashboard Marvel comics kernel Marvel Universe the. Our group’s final project in honor of Stan Lee, the number of supervillains... Everything from art and advertisements to TV and movies ( intelligence, strength, speed, durality, combat....

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