Top 6 des infographies et visualisations sur Game of Thrones - Webilicious Votes : 4.5/5 (8 votes fait) Comparable à la faune et la flore tolkenienne, l’univers fantastique de George R. R. Martin est d’une grande complexité. Si bien que nombre de fans du Trône de Fer se sont attelés à essayer de retranscrire de manière éclairante, les alliances et relations entre les innombrables protagonistes, ainsi que la chronologie des évènements par des techniques parfois novatrices. Voici une sélection des visualisations les plus marquantes. 1. 2. 3. 4. 5. 6. Bonus : 7.
L'Equipe Explore - Athlète 2064 Définition du génome parfait d’un nageur insubmersible et recensement des données anthropométriques indispensables à cette discipline. Torse puissant et étiré, segments longs et déliés. Puissance, explosivité, endurance, résolution génétique de ce qui semblait plomber toutes les espérances de la race noire de dominer un jour la natation – une densité osseuse trop lourde selon certains scientifiques – et choix d’une mère porteuse offrant ventre et ADN pour accueillir le précieux œuf. MeetikGenetics disposait en la matière du plus formidable catalogue sur le marché. Des centaines de femmes brandissant leur phénotype, carte d’identité génétique, toutes enclines à séduire par leurs atouts multiples le ChildProject et toucher le pactole. La jeune femme, d’une résistance à toute épreuve aux mutations, fut choisie parmi l’ethnie Bushmen Khomani. Le projet Simon Ozigbuli était né. Tout ne fut pas parfait. Il fut ainsi décidé de sécuriser davantage le projet Ozigbuli par thérapie cellulaire.
The 9 Best Data Visualization Examples from 2015 - ScribbleLive In the past, the idea of putting the words “creative” and “mathematician” in the same sentence would have seemed out of place. These days though, making sense of complex data requires design skills and number crunching that are as much art as they are science. If you think this stuff is simply for nerds, you might not be laughing when your buddy starts making $200,000 a year in his new gig as a data scientist. But whoever they are (and however much they get paid), the folks behind 2015’s best data visualizations have done the following things well: Used design and/or data science to make insights from a data set easily understoodDesigned a visualization that tells the whole story by itself, meaning it does note need added context to be compellingDelivers the data in a way that surprises, startles, or is (totally subjectively) awesome aesthetically Here are a few of our favorites from 2015. FlowingData: A Day in the Life of Americans Vocativ: How Americans Came to Accept Gay Marriage
Syncronisation du texte et d'une map by Sir Arthur Conan Doyle Scroll ▼ 221b Baker St. November 1895. Aldgate Station Arthur Cadogan West was found dead, head crushed in on train tracks at Aldgate Station at 6AM Tuesday morning. London Bridge Holmes and Watson's investigations take them across London. Woolwich Arsenal While investigating at Woolwich Arsenal Sherlock learns that West did not have the three keys—door, office, and safe—necessary to steal the papers. Gloucester Road Mycroft responds to Sherlock's telegram and mentions several spies. 13 Caulfield Gardens Holmes deduces that the murderer placed West atop a stopped train at Caulfield Gardens. The Daily Telegraph Holmes and Watson head to The Daily Telegraph and place an ad to draw out the criminal. Charing Cross Hotel Walter writes to Oberstein and convinces him to meet in the smoking room of the Charing Cross Hotel where he promises additional plans for the submarine in exchange for money.
Dataviz : 5 projets de contenus et d'outils à la loupe En janvier dernier Ouest Médialab organisait un apéro StoryCode Grand Ouest entièrement dédié à la datavisualisation et au datajournalisme. 5 spécialistes du sujet sont donc venus nous présenter leurs réalisations, les outils qu’ils ont développé ou leurs projets en cours. Voici leur retours d’expériences. Ask Média : la production régulière d’infographies pour Paris Match L’agence spécialisée dans la réalisation d’infographies et de datavisualisations propose des sujets clés en main à plusieurs rédactions dont celle de Paris Match, pour qui elle prend en charge tous les 15 jours la recherche de données, l’enquête, la conception de l’infographie et bien sûr, sa réalisation. La plupart du temps, c’est à l’agence que revient le choix du sujet qui dépend surtout de la disponibilité des données. Pour réaliser une carte de ce type, l’équipe a eu recours à 3 jeux de données issus du Ministère de l’Intérieur et de l’INSEE. La plateforme Bakamap dédiée à l’exploration de vos données
Fantasy Map: Rail Transport in Westeros by Michael... - Transit Maps Fantasy Map: Rail Transport in Westeros by Michael Tyznik Not the first Game of Thrones/A Song of Ice of Fire transit map I’ve seen, but definitely the best designed. It was created by Michael Tyznik, who also made this great fantasy map of Columbus (May 2012, 4 stars). I do detect the influence of my TGV Routes of France map in this work – the general station symbology, the curved routes lines out of King’s Landing and the use of colour coding to define route groups – but Michael has done a fine job of taking things further. His intelligent use of non-standard angles keeps the map nice and compact, but also creates some nice, fun visual shapes. (Spoilers below, I guess…) There is some commentary in the map based on the events of the books and TV series, but it’s limited to some wry notes or labels: "Please pardon our dust as Harrenhal is restored", or having most of the stations on the Wall Line shown as being closed, for example. Source: Michael’s Behance page.
the data of long distance lovers August 25, 2015 · textmining · It is a truism to say that relationship is hard to maintain. It might be even more difficult when the Atlantic Ocean separates them. But thanks to internet and those big data companies that feed themselves with our personal informations, we can now have a real relationship even with 5,500 km between us. Real in sense of small talks, common projects, and fights... To illustrate this point, here some analysis of our daily discussions through the phone app viber. The log hold slight more than a year of data and exactly 20,846 messages, she is responsible for 51.2% of the total. It is interesting to continue the comparison between Her and Him with a focus on the time taken to respond to a message. I like the previous graph that shows that more than 60% of messages from Her and Him are answered within 2 minutes. The table illustrates the huge difference between the mean and the median time to answer. As a bonus, here is the two personal wordcloud:
The Ultimate Crowdsourced Map of Long Distance Relationships Around Valentine's Day this year, we got the idea of asking Atlas Obscura readers about one of the most fraught kind of relationships—the long distance kind, or LDRs. We assumed we'd get 50 or so responses, and maybe we'd pick a few stories to highlight. But nearly 600 of you filled out the survey. The results were incredible—and fill the interactive map above. People conducted relationships from the ends of the earth, spanning years and ostensibly filling whole hard drives with video chats and text messages. The reasons for the geographical spread were manifold, and many people reported being continents apart for years. Long distance relationships are not temporary. But the numbers can only tell us so much. Paradise Bay, Antarctica. Remote Locations New York, New York to McMurdo Station, Antarctica I was living in NY when I got an OkCupid message from someone in Denver, even though my searches were set to the NY metro area only. Bering Sea to New Milford, New Jersey Met Online
What You Like Falls on Party Lines Far and away, the Republican group is more country, while fans of Mrs. Clinton are more pop. At the top of the list for people who like Mrs. Clinton is Adele. On Mrs. Rocker Ted Nugent tops the list for people who like Mr. how fast does miles teller play in whiplash EDIT 05 Sep. 2015: The concept of Beat Per Minutes (BPM) has been mis-understood as mentioned by reddit. What I was supposed to write was Strokes Per Minutes (SPM). Released in 2014, Whiplash focuses on a promising young drummer (Miles Teller) pursuing his dream of greatness. This greatness will only be achieved with the help of a ruthless teacher (J. I am unfortunately not a musician, nor an enlightened enthusiast, so what strikes me the most is the strong ability of Miles Teller to play quite fast. The metric used is the Beat Per Minutes (BPM) which, in the case of the drum, simplified to how many times the drummer hits his instrument per minutes. Now let's see how the Miles performs in the first see of the movie. The BPM of the final scene has also been studied (from 2:36 to 3:56 of the embedded video). Truly fast in my opinion. And finally, let's look at the BPM of the challenge given by the World's Fastest Drummer to Miles Teller. The code and the waveforms are available here!
What is the Marital Status of Americans by Age? Visualization Data Notes A few months ago I created a visualization that allowed users to compare age distributions for various topics and another one that showed marital status by age range. I decided that I wanted to take a closer look at marital status and I thought this tool would give me a good base to start from. Marital Status Sex Pretty generic question here. Race The ACS has six basic race categories. Employment Status This fields is broken out to let you see not only who is in the labor force and who isn’t, but it allows you to see age of those who are employed in the Armed Forces as well. State Geography often is associated with different trends. The Journalist-Engineer A couple months ago, I published an article comparing historic and present-day popularity of older music. I used two huge datasets: 50,000 Billboard songs and 1,4M tracks on Spotify. If I were writing an academic paper, I’d do a ton of analysis, regression, and modeling to figure out why certain songs have become more popular over time. Or I could just make some sick visualizations… Instead of reporting on my “theory”, I wagered that readers would get more out of an elegant presentation of the data, not an analysis of it. Here’s that same approach on another project: rappers and the size of their vocabulary. Instead of proving that one rapper was better than another, readers are really good at absorbing the data, and they’d much rather form their own judgements. A few years ago, Bret Victor wrote about the notion of passive and active readers: In theory, this sounds great…but kinda crazy. But it’s happening — there are active readers. I believe it’s a response to “too long, didn’t read.”
Hip-Hop Is Turning On Donald Trump | FiveThirtyEight A small black child holds a “Fuck Donald Trump!” poster as sirens ring out and a police helicopter patrols overhead. The rapper YG appears, both middle fingers raised, and emphatically raps“Fuck Donald Trump / Fuck Donald Trump”over and over again. The imagery in the video for this year’s “FDT (Fuck Donald Trump)” by YG and Nipsey Hussle was striking, and the explicitly anti-Trump lyrics in a hip-hop song were even more so. Except that it wasn’t. Hip-hop has long been a political genre; artists often draw from and critique those in power. So I asked the lyrics annotation site Genius to send me every reference to Trump that appears in its database of songs. But perhaps even more surprising is that Hillary Clinton and the Clinton familyhave their own long, voluminous history of hip-hop references. It is unheard of for two presidential nominees to have been part of hip-hop’s conversation for so long — artists have dutifully chronicled their lives for decades.
How every #GameOfThrones episode has been discussed on Twitter Every Sunday night, fans of HBO’s Game Of Thrones (@GameOfThrones) know that Twitter is the place to come to talk about the crazy plot twists, how they feel about the characters’ latest shocking actions, share their own memes, and more. Each #GameOfThrones season inspires millions of Tweets. The richness and variety of these conversations inspired us to explore what the audience is talking about in more depth. Figure 1. Explore the visualization in full here. Read on to learn about how we built this visualization, and what we’ve learned about Game of Thrones - and its fans - from it. BackgroundWe started by gathering Tweets with keywords related to Game of Thrones in the 24 hours after each episode first aired. Figure 2. See the plots of every episode from network of charactersPlots, in a way, are connections between characters. Figure 3. One amazing thing to point out about this approach is that the algorithm knows nothing about the show.