The beauty of data visualization - David McCandless

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  • เผยแพร่เมื่อ 22 พ.ย. 2012
  • View full lesson: ed.ted.com/lessons/david-mccan...
    David McCandless turns complex data sets, like worldwide military spending, media buzz, and Facebook status updates, into beautiful, simple diagrams that tease out unseen patterns and connections. Good design, he suggests, is the best way to navigate information glut -- and it may just change the way we see the world.
    Talk by David McCandless.

ความคิดเห็น • 368

  • @humanalltoohuman
    @humanalltoohuman 2 ปีที่แล้ว +144

    Brilliant presentation!
    As a data analyst, I can say that doing such things as a job is really a lot of fun. Its like detective work... you get a bunch of numbers (meaningless numbers, mostly) but then you get to use your tools to see what most people don't see, and to make sense of them and help others do the same. Then you get to change how people think :)

    • @Kvinnan1
      @Kvinnan1 2 ปีที่แล้ว +2

      if you dont mind me asking, what do you suggest to use for data visualization? something interactive

    • @humanalltoohuman
      @humanalltoohuman 2 ปีที่แล้ว +5

      @@Kvinnan1 - Tableau and PowerBI are good tools for data visualization. However, I would also suggest that you learn d3.js. It has a steep learning curve, but its very much worth it!

    • @Kvinnan1
      @Kvinnan1 2 ปีที่แล้ว +2

      @@humanalltoohuman how about for a beginner level? im new to this thing. something easy and yet still interactive for the viewers. i was assigned to compile the data we collected and turn into something that clients can find interactive and easy to understand

    • @humanalltoohuman
      @humanalltoohuman 2 ปีที่แล้ว +2

      @@Kvinnan1 - In that case, I would recommend PowerBI. Its easy to learn and is great for data visualization.

    • @rammsteinx6358
      @rammsteinx6358 ปีที่แล้ว +2

      Very interesting analogy u got there mate. I never thought about that now im starting to see data visualisation in a bigger picture, thanks!

  • @seanpaulshanor455
    @seanpaulshanor455 8 ปีที่แล้ว +411

    "Let the dataset change your mindset." Love that.

  • @louc6689
    @louc6689 6 ปีที่แล้ว +70

    Data mining was such a buzzword during my college years, but we were never taught how to properly display it. Then my senior year professor shows us this. I fell in love, and now can show my clients information in a fun, interactive, and beautiful way. THANK YOU!

    • @Roy-mk9zl
      @Roy-mk9zl 2 ปีที่แล้ว

      I too want to join your league.

  • @Moiez101
    @Moiez101 ปีที่แล้ว +11

    As a data-analyst-to-be, McCandles is a superhero in the data world when it comes to visualizations. Inspiring, and such a beautiful presentation.

  • @unprogram
    @unprogram 2 ปีที่แล้ว +1

    This popped up in my feed. I remember this guy from when he used to be a video games journalist, his writing was funny and entertaining. I think he was a wizard at Doom multiplayer from memory. Nice to see that he is still around.

  • @lelaniadam
    @lelaniadam 8 ปีที่แล้ว +28

    This talk is beautiful :-) Sharing it with my Business Research and Communication class mates!

  • @hananthefake699
    @hananthefake699 3 ปีที่แล้ว +9

    watching this on 23 Nov. 2020, 8 years later and still impressing

  • @TEDEd
    @TEDEd  11 ปีที่แล้ว +28

    Re-upload from last week with aspect ratio error fixed. Enjoy!

  • @IvyANguyen
    @IvyANguyen ปีที่แล้ว +2

    Amazing! I'd love to see an updated one made for these days given how much we've been thinking of data over the last few years (COVID-19, elections, inflation, ...).

  • @jigneshjadav4377
    @jigneshjadav4377 3 ปีที่แล้ว +17

    Data visualization can change anyone's perspective. No matter how complex the data is, simple diagrams always makes it easier to understand and convey the message effectively.

  • @ProtonovaR54
    @ProtonovaR54 11 ปีที่แล้ว +12

    Brilliant presentation, I wrote a research paper while in college (computer engineering) about this exact same topic and even applied it to programming (no code but an actual visual prog lang) and data collection/parsing. Glad to see that I wasn't the only one thinking of making data more efficient to absorb without bias.

    • @celibatezeus3571
      @celibatezeus3571 3 ปีที่แล้ว

      dude, can I get your paper for a read?

  • @kasshyapp4458
    @kasshyapp4458 7 ปีที่แล้ว +1

    beautiful presentation, lots of learning! cherry on the cake was the phrase - Let your dataset change your mindset.

  • @hvaranhvaran
    @hvaranhvaran 8 ปีที่แล้ว +1

    Thank you alot for sharing your expirience! It was a great watch!

  • @ethicalphytophage
    @ethicalphytophage 9 ปีที่แล้ว +4

    That was very informative and an eye opener for me in so many ways. Thank you!

  • @jigneshdarji9104
    @jigneshdarji9104 3 ปีที่แล้ว +553

    Was I the only one watching this during COVID-19 quarantine who didn't laugh at the pandemic molehill peaks?

    • @aniketyadav2989
      @aniketyadav2989 3 ปีที่แล้ว +7

      +1

    • @roshangolada6870
      @roshangolada6870 3 ปีที่แล้ว

      +1

    • @Gersh_Binglander
      @Gersh_Binglander 3 ปีที่แล้ว +23

      I thought "how cute", it was a simpler times back then.

    • @DocTheMedic3
      @DocTheMedic3 3 ปีที่แล้ว +6

      Yeah, it might not happen to everyone, but when killer wasps or swine flu happens to someone, it royally sucks for that someone.

    • @louleg23
      @louleg23 3 ปีที่แล้ว +12

      Unfortunately the media CAPS LOCK reporting of those viruses, contributed directly to the under reaction to Covid, imo. They cried wolf so often, I for one admit that when covid first appeared in the press, I rolled my eyes and thought, yeah right, another swine flu.

  • @KeepinItReal632
    @KeepinItReal632 ปีที่แล้ว +6

    This is making me rethink my career choice. I really love data, and I can see now with this being by far the best Ted talk I’ve ever seen, I love data just a little more than the average person. This was really good. Data is beautiful! 😅😅

  • @pifie
    @pifie 9 ปีที่แล้ว +126

    The problem with expressing data with images is that *it makes pretty hard to criticize the interpretation of data*, which is _critical_ to the meaning of it. It can be seen on the baloon-health graph, for example: How do you chart evidence on a _trust_ scale, for example, if it can even change from person to person?
    We don't have such a consensus (and maybe it would be wrong to have one), so there isn't just one visualization for each relationship of groups of data, and maybe some visualizations just point out things that aren't really there.
    A thing that is needed along with this is hard philosophical-ish discussion about what it is said (or expressed in images). For that, you need mostly to not let details out.

    • @finalexpenseinsurancepolic1651
      @finalexpenseinsurancepolic1651 9 ปีที่แล้ว

      the problem with that post is there is no problem with synthesizing math and imagery further than what any of are used to. that's the point. I'm gonna go with Einstein on this one. just sayin... dhAG was here.

    • @pifie
      @pifie 9 ปีที่แล้ว +2

      dHAG Darkest Horses Art Gang Einstein woud have nothing to do here, it's not a problem of physics but of epistemology. It's not just synthesizing, but interpreting in covert ways. We could go back to using mandalas, using the same concepts. Not just because it seems clear it is indeed understandable or clear.

    • @finalexpenseinsurancepolic1651
      @finalexpenseinsurancepolic1651 9 ปีที่แล้ว

      pifie I don't get it. you'll have to explain more.

    • @pifie
      @pifie 9 ปีที่แล้ว +4

      dHAG Darkest Horses Art Gang It's about epistemology, because it is a question about what meaning is behind the measurements.
      For example, say we put this graph:
      "Measure of computer screen relative to mine" (on the vertical scale) and on the horizontal scale I put my computer screen, yours, and say one the guy in the video has. The graph has 3 bars, the first is 1, the second is 1.6 and the third is 1.3 .
      That doesn't express important things, for example that we all measured those with bananas for scale, and even avoids putting down "error bars" (or any measure of uncertainty), so one could wrongly conclude that your screen is bigger than mine, which very well could be that I just measured with a bigger banana than you.
      Besides, what we measured would not be the computer screen. We did not say WHAT did we measure anyway (the volume?, the diagonal length of the screen?, the perimeter?). See? All that info is covert when you don't point important things.
      The problem, in the end, is the problem with realism : thinking that what you measure is what you wanted to measure in the first place (which you don't have any ground to ascertain).
      I hope some of this is clearer now, and that you can fill in the gaps yourself. See what it has to do with the graph of 'trustworthiness' (or something like that) of 'health things' (in the 'snake oil' chart).

    • @finalexpenseinsurancepolic1651
      @finalexpenseinsurancepolic1651 9 ปีที่แล้ว

      pifie Fine. However "All that info is covert when you don't point important things." what if the data is completely comprehensive in a particle kind of way? In other words, water knows every angle etc of a bottle. It may not know what's outside of the bottle. But comprehensive mapping creates comprehensive visualization. I can attest to this because I have had the rare pleasure of being in a private viewing in the allospshere at UCSB. So measurements can and are indeed qualitative/quantitative first. however the goal of our research is to show people what the next step/s in a stunning and creative fashion.

  • @cashel1111
    @cashel1111 5 ปีที่แล้ว +3

    id say the best point made is the bandwidth, put simply you can get more out of visual data
    so worth it

  • @yacintashafira7107
    @yacintashafira7107 5 ปีที่แล้ว +11

    sir, you've delivered an excellent talk because now it makes me want to know more about data, even considering myself to work as Big Data Engineer

    • @Yoshiki-kh3xs
      @Yoshiki-kh3xs 8 หลายเดือนก่อน

      Are you working as a Big data Engineer?

  • @Yotipo
    @Yotipo 11 ปีที่แล้ว +13

    I love this kind of visual design! I'd love to create modules such as the ones presented on here!

  • @maheshsolanke480
    @maheshsolanke480 4 ปีที่แล้ว

    its really clear idea about the visualisation....Thank You David!!!

  • @skyembura3289
    @skyembura3289 2 ปีที่แล้ว +1

    Its the most wonderful journalistic thought you've brought out. From oil to soil....now I deconstruct my entire thought process and stop mining out some form of biased data. Relativity. I have to work on that. Thanks a lot.

  • @conmak9208
    @conmak9208 3 ปีที่แล้ว +92

    Would be interesting to see his "mountains out of molehills" chart factoring in Covid-19

    • @djudju8047
      @djudju8047 3 ปีที่แล้ว +1

      It's not there yet : informationisbeautiful.net/visualizations/mountains-out-of-molehills/
      But they added Ebola.

    • @MikaTuukkanen
      @MikaTuukkanen 3 ปีที่แล้ว +1

      @@djudju8047 As ebola has blown out of the chart I can even imagine how covid will break the whole scale.

    • @NishantChettri
      @NishantChettri 3 ปีที่แล้ว +4

      It's the white behind all those molehills 😂😂

  • @denizyalcn6966
    @denizyalcn6966 9 ปีที่แล้ว +49

    Thanks. Without any doubt this is one of the best Ted talks.

    • @projectjt3149
      @projectjt3149 5 ปีที่แล้ว +1

      yeah, in fact I've just learned something tangible and not just abstract - green tea is VERY good for health

  • @auberjean6873
    @auberjean6873 10 หลายเดือนก่อน +1

    Ted-Ed and David McCandless
    This proves that the right Info-Graphic is worth a thousand words. Thank you for this excellent presentation.

  • @charlesjackson820
    @charlesjackson820 8 ปีที่แล้ว +3

    Great presentation!! Looking for a topic with my thesis, may have found it now..

    • @Ryan_Burger
      @Ryan_Burger 4 ปีที่แล้ว +3

      How did your thesis go?

  • @DATAcated
    @DATAcated 2 ปีที่แล้ว +1

    Thank you for the inspiring talk David

  • @WMfin
    @WMfin 11 ปีที่แล้ว +3

    This is extremely illustrative!

  • @saachishetti2939
    @saachishetti2939 4 หลายเดือนก่อน

    Omg! Why is this not the most watched video - soo splendid! As an Instructional designer, I am already considering Information Designer as a career choice 😍

  • @creaatiive1718
    @creaatiive1718 4 ปีที่แล้ว +1

    what a cool ted talk. it put so many things into perspective

  • @josexrg
    @josexrg 3 ปีที่แล้ว +1

    Amazing!! Information can bring a lot of insights that will do better the world.

  • @jtnkathuria
    @jtnkathuria 5 ปีที่แล้ว

    Beautiful. It did change my mindset.

  • @katahajnal3416
    @katahajnal3416 8 ปีที่แล้ว +4

    Truly the best conference I ever watched !!

  • @projectjt3149
    @projectjt3149 7 ปีที่แล้ว +2

    Wow. FINALLY I found an example of the type of intuition I can barely explain - the spike in the fear of the influence of video games in April because of Columbine. Same for the witty revelation of Facebook Break-Ups. Thanks for provoking my mind again.

  • @HenriSteenkamp
    @HenriSteenkamp 8 ปีที่แล้ว +10

    Awesome video on data visualization!

  • @captain61games49
    @captain61games49 3 ปีที่แล้ว +1

    I'd love to see these ones for this year alone

  • @imakemusique
    @imakemusique 6 ปีที่แล้ว

    Amazing and inspiring talk! Now where can we get a hold of that health app he made? Save ourselves some time!

  • @nyteskun
    @nyteskun 3 ปีที่แล้ว +5

    just started learning tableau for fun.
    analyst field looks fun.
    been working in supply chain for over 4 years and never see higher up really care about this data visualization.

    • @martinn.6082
      @martinn.6082 3 ปีที่แล้ว

      I’m a programmer and many engineers or higher ups want numbers, not charts. We still implement some charts, mostly so we can intuitively see trends and anomalies that our system does not yet detect.

  • @david85743
    @david85743 3 ปีที่แล้ว +2

    Great talk! More relevant than ever.

  • @zeddash
    @zeddash 11 ปีที่แล้ว

    One of the best talks.

  • @langeludo
    @langeludo 3 ปีที่แล้ว +6

    Beside looking at data in it’s perspective or in a relatively comparable context.
    There’s one thing missing that often bug me on medias it’s mentioning the source of the data which is probably even more important than the data itself !

    • @auberjean6873
      @auberjean6873 10 หลายเดือนก่อน

      @langeludo
      Indeed!

  • @gokselbilici605
    @gokselbilici605 2 ปีที่แล้ว

    Beautiful and inspiring visuals!

  • @dr.basantverma5025
    @dr.basantverma5025 9 ปีที่แล้ว

    good.please provide more lect on data mining like neural,genetic,classification etc

  • @nishaarora1640
    @nishaarora1640 8 ปีที่แล้ว

    And that is really beautiful !

  • @Jack7967
    @Jack7967 11 ปีที่แล้ว

    Thanks. I'll check that out.

  • @kedarbahulkar189
    @kedarbahulkar189 3 ปีที่แล้ว +3

    "...seeing the political perspective versus being told or forced to listen."
    "visualizing" information can often give us quick and effective solutions.

  • @tsjoencinema
    @tsjoencinema 11 ปีที่แล้ว

    Now this is much better than the short cartoons you upload TED!

  • @samshepherd6197
    @samshepherd6197 3 ปีที่แล้ว

    Another data set to consider with USA military budget, is how is the budget divided up and spend.
    1. Reviewing the expenditure, we will find a large portion of the USA military budget actuarial goes to other countries, about $58 billion goes to other nations.
    See here: - - - www.pbs.org/newshour/spc/multimedia/military-spending/
    2. It also goes to provide housing, schools, stores, hospitals, public transit and other care for the spouses and children of our military.
    3. In addition, another portion of the USA military budget goes to civilian government contracts to build plans, ships, vehicles, clothing, boots, computers, beds, chairs, desks, wall lockers, gas masks, medical supplies. Therefore those funds are actual going into the private sectors in the US and providing jobs for non-military personnel.

  • @ashwinipatil6085
    @ashwinipatil6085 6 ปีที่แล้ว +2

    Can you provide a source for learning different data visualizations ? i am currently into data analysis ,so i need to learn these.

  • @danielcardozo1722
    @danielcardozo1722 3 ปีที่แล้ว

    What an amazing way to look at the world

  • @user-jw4kv6zq6b
    @user-jw4kv6zq6b 9 หลายเดือนก่อน

    dude was so calm the whole time ...WOW

  • @julioagustinmayorga2084
    @julioagustinmayorga2084 2 ปีที่แล้ว

    wonderful talk sir 👏

  • @ulaznar
    @ulaznar ปีที่แล้ว +1

    The left vs right infography... which dataset led to its creation? Was there a poll or was simple pulled out of their 4ss3s?

  • @anukanuk
    @anukanuk ปีที่แล้ว

    Absolutely Brilliant !!

  • @rishavkothari1672
    @rishavkothari1672 6 ปีที่แล้ว

    Gotta use this .

  • @biuku
    @biuku 3 ปีที่แล้ว +141

    “Swine flu” -> “ha ha ha”.

  • @BlakeT87
    @BlakeT87 6 หลายเดือนก่อน

    I'm watching this video as part of my university course in 2023 - and I'd LOVE to see the 'media fears' map updated - if anyone can do this and link it, please share!

  • @rjamsbury1
    @rjamsbury1 3 ปีที่แล้ว +42

    Watching this in November 2020 the laughs at the 'mountains out of molehills' over SARS, Bird Flu and Swine Flu are very ironic. How little they knew about the dangers in such viruses.

    • @S3Mi87
      @S3Mi87 3 ปีที่แล้ว +5

      So far the most dangerous part of this virus are the lockdowns. If anything this video tells that same stuff happens periodically and it's almost always just media panic. Current plandemic is a scam. People are dying in hundreds of thousands of the virus but at the same time they magically stopped dying of other causes. Total mortality in major affected countries is the same as it was a year ago. A true Miracle! Not to mention direct evidences like scandals in UK, Italy, Spain and few others where hospitals claimed they were told to account as many deaths to the virus as possible, in other words they were ordered to fake the data to make the issue look worse than it actually is.

    • @wwags33
      @wwags33 3 ปีที่แล้ว +3

      @@S3Mi87 "Total mortality in major affected countries is the same as it was a year ago" - That is false, at least for the US. Total deaths have exceeded historically-based expectations every week since March: www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm

    • @RenX3133
      @RenX3133 3 ปีที่แล้ว

      You mean the danger of influenza?

  • @charlotteacevedo2066
    @charlotteacevedo2066 5 ปีที่แล้ว +5

    Dear TEd-Ed, is it possible for you to put the links to the references your speakers reference and show? I'm not sure if you do that but I haven't seen it and it'd be really nice. Thank you, love you

  • @ritikamohnot
    @ritikamohnot 11 ปีที่แล้ว +4

    Is Tableau used for health/nutrition related visualization with moving bubbles?

    • @ishikajohari1508
      @ishikajohari1508 3 ปีที่แล้ว

      I'd like to know as well! Please share when you're sure!!

  • @SeabasstianTV
    @SeabasstianTV 11 ปีที่แล้ว +1

    Links to the graphs would be wonderful!

  • @LaVictoria6751
    @LaVictoria6751 7 ปีที่แล้ว +7

    Beautiful graphics, skillfully worked in your talk. I like your references to military spending. I would suggest to include Colombia in your statistics as the country in LatinAmerica with the largest military budget. Not only that but the strong campaign carried out by the right wing leading to win the "NO TO PEACE" vote in the recent referendum. I hope you consider exploring this data. (Colombia suffers the sequel of 60 years of internal war and citizen's displacement.)Thank you.

  • @sofiamaldonado8034
    @sofiamaldonado8034 4 ปีที่แล้ว

    I love this!

  • @zapy422
    @zapy422 5 ปีที่แล้ว

    Great ted talk fitting in the big data age

  • @antoinebrard9256
    @antoinebrard9256 2 ปีที่แล้ว +1

    Cette vidéo, j'y ai eu droit durant un de mes cours. Eh bien, elle a changé ma vie. Depuis son visionnage, j'ai rencontré Amandine, la femme de ma vie, et Chris, son énorme clébard. Aujourd'hui tout va mieux, merci TED ! (mais par contre j'ai voté Mélenchon au premier tour en 2017)

  • @Guyoparker
    @Guyoparker 8 ปีที่แล้ว +26

    How can someone mine this kind of data? I would love to learn

    • @MoSho23
      @MoSho23 6 ปีที่แล้ว +51

      There are a variety of web scrapping tools and API you can look into for social media sites such as Twitter, Facebook, and Instagram. You will likely have to write your own or modify others using JavaScript, PHP, or Python, libraries and tools.
      I do not know your skill level with web tech or programming, but the resources are there to learn regardless, Google (and TH-cam) can help you find many things for free
      Some useful reading and starting points:
      scrapy.org/
      gawron.sdsu.edu/python_for_ss/course_core/book_draft/web/web_intro.html
      knightlab.northwestern.edu/2014/03/15/a-beginners-guide-to-collecting-twitter-data-and-a-bit-of-web-scraping/
      stackoverflow.com/questions/22168883/whats-the-best-way-of-scraping-data-from-a-website
      www.grepsr.com/
      There are also resources available on GitHub

    • @barefacedquestions
      @barefacedquestions 6 ปีที่แล้ว +14

      Thanks for taking the time to write your very helpful comment.

    • @mehmetakifsar8737
      @mehmetakifsar8737 5 ปีที่แล้ว

      thank you! it helps a lot

    • @simplydevtools1619
      @simplydevtools1619 5 ปีที่แล้ว +3

      Did you eventually learn? It would be good to share some insights for new comers.
      In my opinion, In order to understand where it all started, Learn about Semantic Web/Linked Data, with this you will realise that topics like sentiment analysis and tools used to analyse and visualise data, is part of the big engine(Semantic Web or rather linked Linked data)

  • @aquapurity
    @aquapurity 7 ปีที่แล้ว +1

    This was awesome

  • @micharogalewicz6249
    @micharogalewicz6249 6 ปีที่แล้ว

    Love it love it...again.

  • @leotestoy486
    @leotestoy486 3 ปีที่แล้ว

    Wow awesome talk!

  • @sujathamohanram
    @sujathamohanram 3 ปีที่แล้ว

    Well said!!!

  • @grv_agni
    @grv_agni 2 ปีที่แล้ว +1

    Combine visualization powers with data. Data Visualisation. Maps. Graphs. Charts. Colors. This is to understand any topic you want to. Information map is useful to understand. Play with data, data analytics, data detective. With patterns + culture + human intelligence I can get insane insights. Data is the new oil. Ubiquitous resource. Data is soil. It is a fertile creative medium. Infographics are like flowers. Work and play with data - it reveals patterns. Titanic amount of data is right there. Ask the right questions. Play. Visual CV. Designing, Programming, Writing - collect these modern skills. Visual information is effortless to look at. It pours in. Memes. Language of the eye - Language of the mind - Words, Numbers, Concepts - Giving labels. This is a new kind of language. Absolute figures don't give true picture. Relative figures give better perspective. Let the data set change your mind set. Scouting for data and making infographs. Diagrams. It is a way of squeezing an enormous amount of data in a vision. This is going to be with evidence. Beat fake news. Narrative is connected to political intelligence- right brain on attack. Man, this is almost like a meditation. Spiritual side of me would help in being a total oracle. Even when information is terrible. The Visual is Beautiful. Data is beautiful. So are maps. Wow. Getting into this.

  • @kernelpanic2887
    @kernelpanic2887 5 ปีที่แล้ว

    I want to see tzw video about all those cameras, anyone knows which one it is?

  • @asnothe
    @asnothe 9 ปีที่แล้ว +4

    11:39 so the U.S. should be proud to be alongside Myanmar, Jordan, Georgia, Saudi Arabia, Kyrgystan, Burundi, and Oman in the size of its military budget per GDP?

  • @AnandMuglikar
    @AnandMuglikar 11 ปีที่แล้ว +12

    In data we trust, everything else we test!

  • @EdibleCakez
    @EdibleCakez 3 ปีที่แล้ว +35

    That awkward moment when Green tea pops up twice

    • @gerixxx1
      @gerixxx1 3 ปีที่แล้ว +6

      It was in respect to different conditions

    • @NicksStuff
      @NicksStuff 3 ปีที่แล้ว +1

      @@gerixxx1 I don't think the "All conditions" option is the best to demonstrate the power of that data set

  • @555banzai
    @555banzai 9 ปีที่แล้ว

    Great video

  • @julierene76
    @julierene76 6 ปีที่แล้ว

    Awesome!

  • @TheBelmontClan
    @TheBelmontClan 11 ปีที่แล้ว

    Huh, energy policies and primal fears, on a little speck of dust floating around in circles within a super massive universe. That has got to be one of the greatest stories ever.

  • @musicellaneous1909
    @musicellaneous1909 6 ปีที่แล้ว

    Fantastic video!! :)

  • @dataisbclub
    @dataisbclub 7 หลายเดือนก่อน +3

    Whoever seeing this I wish you all the best on your data visualization journey!

  • @acetheist3932
    @acetheist3932 3 ปีที่แล้ว +1

    what is that app used at 14:26? I can't see the site address.

  • @chidiberacha2342
    @chidiberacha2342 7 ปีที่แล้ว

    This video explains a lot..

  • @jovantap2144
    @jovantap2144 6 ปีที่แล้ว

    Brilliant.

  • @joyview1
    @joyview1 8 ปีที่แล้ว +3

    is it possible to download his data visualization app?

  • @angelicaziyad7896
    @angelicaziyad7896 ปีที่แล้ว

    What's the name of the app David created to turn the data visual balloon diagram into a live design?

  • @psycho17901
    @psycho17901 11 ปีที่แล้ว

    Very interesting

  • @mnementh818
    @mnementh818 11 ปีที่แล้ว

    Google is wonderful for dispelling notions such as yours.

  • @rachcliffe3182
    @rachcliffe3182 8 ปีที่แล้ว

    brilliant

  • @mannofjoch
    @mannofjoch 10 ปีที่แล้ว +36

    like when he says "doosh"

  • @m1n3craftPCtut0r1al
    @m1n3craftPCtut0r1al ปีที่แล้ว +1

    (14:29) Cool presentation and all, but at 14:29 he clearly used a graph with bad data, because I see green tea twice and lavender twice.

  • @micharogalewicz6249
    @micharogalewicz6249 7 ปีที่แล้ว

    Great!

  • @bedsepankaj
    @bedsepankaj 3 ปีที่แล้ว

    Awesome !!

  • @zackbradshaw9839
    @zackbradshaw9839 6 ปีที่แล้ว

    what website is he using

  • @paulfrankelphd
    @paulfrankelphd 7 ปีที่แล้ว +1

    Brilliant

  • @paulpaschert6215
    @paulpaschert6215 4 ปีที่แล้ว

    the jony ive of data vis?

  • @dissdad8744
    @dissdad8744 8 ปีที่แล้ว +2

    What tools were used to produce the graphics?

    • @mmskid60
      @mmskid60 7 ปีที่แล้ว +2

      I think it's D3.js, but I am nor positive.

    • @Kruffabulous
      @Kruffabulous 7 ปีที่แล้ว +2

      probably Tableau

    • @atomicuschart4836
      @atomicuschart4836 5 ปีที่แล้ว +1

      Try to use NEW Data Visualization Tool atomicuschart.com get free trial for 3 month

  • @roiferreach100
    @roiferreach100 4 ปีที่แล้ว

    old video but interesting. First time I heard of Data Visualization.

  • @elvisdias5094
    @elvisdias5094 3 ปีที่แล้ว

    This one ages like wine

  • @arturbabinski7248
    @arturbabinski7248 3 ปีที่แล้ว

    How data is subjective compare to references and different points of view.
    The data is new oil
    Data also is native language for machine and ai
    Data is living organism according to points of view

  • @melonyvance9005
    @melonyvance9005 6 ปีที่แล้ว

    Great video :)