Turning Bad Charts into Compelling Data Stories | Dominic Bohan | TEDxYouth@Singapore
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- čas přidán 25. 11. 2019
- In our society’s constant hunger for shocking and sensational news, we tend to overlook the importance of what is happening globally. For Dominic Bohan, he sees this world through data and statistics. Though pie charts and bar graphs may sound mundane and even daunting for some of us, Dominic puts forth a compelling argument for the relevance of data science or statistics, and shows us how data can also tell stories and even explain the world to us. In our society’s constant hunger for shocking and sensational news, we tend to overlook the importance of what is happening globally. For Dominic Bohan, he sees this world through data and statistics. Though pie charts and bar graphs may sound mundane and even daunting for some of us, Dominic puts forth a compelling argument for the relevance of data science or statistics, and shows us how data can also tell stories and even explain the world to us. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx
Very well done. The presentation itself is a perfect example of the three principles:
human friendly; ruthless minimalism; clear key takeawayes.
I've never seen anyone so passionate about charts and data - I love it and didn't want this video to end!
As a creative director in visual communications, this man speaks my language. I've spent nearly all my career making unnecessarily over-complicated things easy to understand (whilst retaining value). Well done, sir.
I watched to the end and it delivered. The first part might not slap for everyone but solid advice-
1. Make it human friendly
2. Ruthlessly eliminate excess data
3. Give a clear key takeaway
🎄
This video deserves more attention
Awesome video. Very relevant topic as more and more people are using charts, info graphics, etc to show data.
Absolutely fantastic
More of this pls. ❤️❤️❤️
I think sometimes, the trick is also using the chart in the correct context. I rather like radar charts when done correctly--a good example being the ways a lot of video games use them to compare many things quickly or lay out skill stats for characters. Pokemon, for example, uses that in many games (as a hexagon) and you can go to that screen, think "I only care about who's the strongest in the top 3 data points, not the bottom, for this task," and just click right, right, right to get a quick visual imprint for each character. In the small space of a handheld screen, it's very efficient and fast and eats up less screen real estate than a bar chart in many cases. It does require a little getting used to and knowing what you are looking for, but once you do, it is very efficient and can be understood in even a brief, passing glance.
8:48 - instantly readable and hilarious chart!
fantastic presentation and education
Very informative presentation
Loved it!!
Wow. Clarity over complexity
The BEST
Did you get that relationship example and a couple other things verbatim from Issac Keyes talk? A courtesy shout out would have been nice. Good talk.
Hey, thanks for looking out for this. I'm a close friend of Dom's and he ran everything by me prior to delivering the talk.
Coooooool😂
So...he just basically rehashed the 1984 study by Cleveland and McGill and Visual Explanations by Edward Tufte. Got it (Not a bad talk, but please give credit where it is due).
Ouch busted 🙈
No, he used his relationship data for his system, that case study was to show that data can save lives and change the world?
Mr. Bohan’s arms move so much it’s distracting me from the visual representations he’s trying to show us
Isaac Keyes ted
I hope you enjoy watching the moon imagery we include in many of our sleep music videos. Is there a color you find particularly calming? 1 (green), 2 (blue) or 3 (purple)? Vote in the comments below! Love, Margie.
Lifted examples from Edward Tufte, rebranded his "data-ink ratio" and the term "chart junk" as "minimalism". Except for the Keyes study, you didn't credit obvious sources for your material.
You know nothing John Snow!