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I love the play Hamilton and data, so we start off this week with a Data Visualization with all the Hamilton by Shirley Wu (@sxywu). From there we find out how is using Machine Learning techniques to identify whats in our photos with a Chrome extension by Adam Geitgey (@ageitgey). We try to see what a newborn sleep cycle is like, pink noise or not. Of course we have our weekly booze viz showing the best Wine and Cheese Pairings. And we finish it off with the history of Job growth in the US under President Barack Obama. For a bonus we see a cool animated chart showing the Sea Ice decrease by Kevin Pluck.
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Hamilton Visualization by Shirley Wu – Photos by Adam Geitgay – of Newborn – & Cheese Pairings – Data – Ice Rate – Music
Like Apollo by jimmysquare Commons Attribution 3.0 Unported CC BY 3.0 provided by Audio Library What is Hamilton? An American Musical is a sung-through musical about the life of American Founding Father Alexander Hamilton, with music, and book by Lin-Manuel The show, inspired by the 2004 biography Alexander Hamilton by historian Ron Chernow, achieved both critical acclaim and box office success.
The musical made its Off-Broadway debut at The Public Theater in 2015, where its engagement was sold out. The show transferred to Broadway in 2015 at the Richard Rodgers Theatre. On Broadway, it received enthusiastic critical reception and unprecedented advance box office In 2016, Hamilton received a record-setting 16 Tony nominations, winning 11, including Best Musical, and was also the recipient of the 2016 Grammy Award for Best Musical Theater Album and the 2016 Pulitzer Prize for Drama. The prior off-Broadway production of Hamilton won the 2015 Drama Desk Award for Outstanding Musical as well as seven other Drama Desk Awards out of 14 total nominated categories.
// What is is an American for-profit corporation and online social media and social networking service based in Menlo Park, California, United States. The was launched on 4, 2004, by Mark Zuckerberg, along with fellow Harvard College students and roommates, Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes.
The founders had initially limited the membership to Harvard students; however, later they expanded it to higher education institutions in the Boston area, the Ivy League schools, and Stanford University. gradually added support for students at various other universities, and eventually to high school students as well. Since 2006, anyone age 13 and older has been allowed to become a registered user of though variations exist in the minimum age requirement, depending on applicable local laws. The name comes from the face book directories often given to United States university be accessed by a large range of desktops, laptops, tablet computers, and smartphones over the Internet and mobile networks. After registering to use the users can create a user profile indicating their name, occupation, schools attended and so on. Users can add other users as “friends”, exchange messages, post status updates and digital photos, share digital videos and use various software applications (“apps”), and receive notifications when others update their profiles or make posts. Additionally, users join common-interest user groups organized by workplace, school, hobbies or other topics, and categorize their friends into lists such as “People From Work” or “Close Friends”. In groups, can pin posts to top. Additionally, users can complain about or block unpleasant people. Because of the large volume of data that users submit to the service, has come under scrutiny for its privacy policies. makes most of its revenue from which appear onscreen.
when else d has data geeks welcome to data geek TV episode 2 day is January sixth the first episode of the new year and it’s time to see what the data world had for us this past week okay first I want to show you something that is I find incredible and it’s from someone that I’ve chatted with a couple times surely whoo surely is a data artist I’ll call her data scientists she really focuses on data visualization with d3 she has a really great blog which I’ll put in the links down below in the description and she made this interactive is of every line of Hamilton and it is fantastic she goes into the whole story and talks about what it is in case you’re unfamiliar Hamilton is a play about Alexander Hamilton and it’s a hip hop musical which is kind of rare and it is insanely popular it is a great play and she being a lover of the play and a data geek made this amazing visualization what is really cool about it is how she organized this into sort of a narrative about this about the whole story we’re in these little bubbles here what you can see are the different themes and then the different lines within the songs and the different characters you can see who said what how much they they said how big the bubble is is how much they were speaking and all the different character themes and all the different topics about the play and it’s just a really immersive beautiful vis so congratulations surely on making data geek TV keep up the good work I love this and all the other fun stuff you do so kudos to you number two comes from a friend of mine which I’m biased so I’m going to talk about his stuff but it’s also pretty awesome in new york mag they actually had an article about it he made something that will show you what facebook thinks is in your photos so facebook is using these kind of deep learning algorithms to try to figure out what’s in photos on facebook and it helps them categorize things better it helps people that are blind for example understand what the photo is on facebook all that kind of jazz and he has a chrome extension that you can install to see so i did that there’s the article the chrome extension looks like this it’s aptly titled show Facebook computer vision tags we can work on the branding a little bit later and what you can do with it is after you install it after you add it to Chrome you can go look at your facebook timeline and see what Facebook tags your photos ask so here’s one of my son at breakfast and you can see that it has a person sitting and sunglasses tagged didn’t have the cool guy effect that he had going on here’s another one of him spilling Cheerios and it notices that we’re indoor and that it’s a single singular person and here this one is interesting to me because hit actually found out you know this is a child and we’re outdoor that’s pretty crazy and then here’s one him playing with the ball or a lime that he had found and you can look at this so there’s a person there standing there outdoors and they have shoes on and then in the bottom right one it really tagged it well a person smiling standing baby child shoes outdoor that’s crazy this is how advanced some of this stuff is so go check out this article the link is in the description and learn install the extension and see what Facebook thinks is in your photos okay this biz is one that I actually wanted to do here’s what it is the reason I wanted to do this because I you know have a small child and during the time when he was first born as any of you parents know it light sleep is crazy and so this vis is actually the VIS of his daughter’s life and it’s all about her sleep and wakefulness the dark blue for sleep and the yellow for awake you can kind of seen in the beginning how things are just crazy and how they start to get more and more sane as time goes on however there’s still lots of these spots were in the middle of the night she’s waking up so awesome job Elliot you know go check it out it’ll be in the description for you there okay on to something a little bit more fun mapping the perfect wine and cheese pairing so this is on BBC and what they have here is basically a way to create a network map that shows what are the perfect wine and cheeses that go together this guy created something actually to map molecules and how they relate and his wife having better taste and more doing stuff to talk about I love it because it’s actually using data in a really fun way right little less serious and I’ve seen this for whiskey as well whether it’s kind of a scatterplot and you can see like is it sweet or is it more earthy is it more PD whatever the characteristics are so a great job on this I love data viz and booze so this is the perfect thing for me alright the next one comes to us from 530 8 again those guys are fantastic what they do and here’s some charts talking about Obama and what he’s done over his past eight years you can see that job growth has basically always been plus we’ve never lost any jobs under Obama really after you know the first couple years and that’s all you know from the recession things coming back this other charters showing hourly earnings and how they’ve changed over time as well doesn’t look too bad but you know it starts to dip off around 2010 is still feeling the effects of the recession and then the kind of levels off and you can see it starts to swing back around so that’s pretty awesome then you have this non agricultural jobs chart which show basically how the jobs have grown and where they’ve been growing and you can see it’s pretty much all private sector non agricultural jobs so if you consider everything that has happened since Obama took office it’s actually quite quite tremendous it’s quite amazing that we’ve been able to see such sustained growth for such a long period of time the one big caveat here of course is that wages haven’t increased a ton although you can kind of see that in this chart here so you know they’re kind of fluctuating up and down there slightly going up it’s the first time really in a long time we’ve seen them start to go up so this is a great article if you’re into jobs data and cool charts i am so 538 go check it out and the link down below alright so the last article we have to talk about today is about this animation showing the global sea ice decrease and it’s kind of crazy that you can see such a stark pattern change here just in the past year I mean usually these patterns slowly shift over long long periods of time and what’s going on here basically is that the sea ice in the world is is declining sea ice is one of those things that helps keep all the regulation of the currents in the ocean stable and so as the world heats up and the ice melts it kind of changes that which is where the whole you know climate change thing comes from so down here I thought this is an interesting animation and it’s similar to one I’ve seen before where they looked at actual temperatures and you can see how they just at the end there look at how 2016 to 2017 is dramatically different than all the other years great job Kevin on this little vis here I’m not in love with circular diagrams typically but this is an animation you’re telling a story so I get it so that’s it for dating a TV episode 24 january six 2017 if you’re new to the data geek family i’d love for you to join us click subscribe down below if you’re already initiated please share this video with everyone you know Facebook Twitter whatever else path if people even use that anymore that is really what helps drive kind of the growth and the adoption here and the more people we have on this the more kind of data we can actually analyze and afford to look at and understand really what’s happening out there in the world so thanks again and remember if you free the data your mind will follow all right I’ll see you guys back here next week.