6 ms·

Visualizing data is an art

182 points by skadamat 2y ago

datadrivenangel 2y ago
Ignoring the actual argument to focus on the object level example of pie-charts: Pie Charts are good for showing relative proportions of a whole for a relatively small number of items. Donut charts are better because humans tend to misread area slightly in pie charts.
- shriracha 2y ago
  Author of the article here! Yes you're completely right. I think they also have other underrated properties, like they fit neatly in a square which can be helpful for laying out a dashboard. And for some reason, in my experience, people just like them. But when done poorly, they can be a mess. Like any other chart.
  - datadrivenangel 2y ago
    People also like misusing them: My favorite pie chart to hate on is a pair/sequence of pie charts showing proportions over time: Pie chart for 2020, 2021, 2022,2023, etc... 100% scaled stacked barchart is an option in every tool I've ever seen that can make a pie chart...
ge96 2y ago
Damn the coffe shop tracking ha
caycep 2y ago
this makes me nostalgic for the days when d3.js and observable made it regularly to HN front page...
- datadrivenangel 2y ago
  Be the change you wish to see in the world!
- pnut 2y ago
  Was looking for some mention of Mike Bostock and his epic odyssey into this space. For those who aren't familiar https://observablehq.com/@mbostock https://observablehq.com/@mbostock
  - caycep 2y ago
    yes...I haven't seen him post for some time
bbor 2y ago
I don’t love the “me against the world” framing, but maybe I’ve just been blessed with good teachers — this is a great summation of what the HCI faculty at GaTech espouse! If it’s not a consensus yet, it should be. If the author pops by, I’ve just gotta say: you’re killin it with the cute illustrations, especially the dials one. Very inspiring stuff! Thanks for sharing, OP. EDIT: if I had to pick out any one idea for a casual reader to learn about, I’d definitely highlight “Cognitive Load”. It’s used as part of a broader discussion here, but when looked at in a certain light it can capture a whole lot of diverse factors in one consistent framework!
- shriracha 2y ago
  Thank you! Yeah, I hear you on the framing. I don't have a formal education on data viz myself (I guess not many people do?), but I've gotten into the world over the last few years. A lot of the literature I've seen has come across as dogmatic to me, which is what sparked this article. That's great to hear that your experience is more aligned with this way of thinking. And thanks for the nice words about the animations! Glad to hear that work doesn't go unappreciated haha
  - bbor 2y ago
    To be fair, you're writing a blog, not a textbook - despite my complaint I'd probably do a bit of the same for the sake of engagement! Looking forward to seeing your posts in the future. Wish you could follow people on HN!
minimaxir 2y ago
During the rise of the generative AI backlash, I once saw a take along the lines of "data visualization doesn't count as art because you write it with code: art only counts if you put sweat and tears and labor into it." I was too baffled to respond.
- RataNova 2y ago
  By that logic, photography, digital painting, music production, and even architectural design wouldn't count as art because they involve tools and technology
- stared 2y ago
  I bet this person has never created a data visualization. On the contrary, I think data visualization (along with architecture, mathematics, and mechanical watches) is one of the most interesting art forms that requires strict constraints.
pabloarteel 2y ago
No, it's not an Art. I get that people use the word art as "difficult", "obscure" or "intangible" but... Art is about self-expression, evoking emotions, and open interpretation. Design is about problem-solving, functionality, and clear communication. Clearly DataViz is Design.
- shriracha 2y ago
  I don't see art and design as mutually exclusive. I also don't think that data viz is exclusively about functionality. Take a project like this: https://www.dear-data.com/theproject https://www.dear-data.com/theproject... this is clearly data visualization and, to me, quite evocative. These visualizations aren't designed for clarity and they don't need to be, that wasn't the goal.
- exe34 2y ago
  data Viz for it's own sake might be design - in real applications, you always have a story you're trying to tell - and it doesn't go away just because you're not consciously aware of it.
- datadrivenangel 2y ago
  Art as in craft/field! "State of the Art" is a phrase that refers to what is possible within a domain. There is also the implication that it takes judgement, maybe even an artistic sensibility. This is in opposition to a strain of thought within data viz from the Business Intelligence/Analytics side of the field that has succumbed to the MBA/Process gospel that preaches Repeatable Process and the siren song of good data visualization without using your brain! Is Design an Art?
- haswell 2y ago
  > Art is about self-expression, evoking emotions, and open interpretation Art is about these things, but is also about many other things. And art can be clear in its intentions, leaving little to interpret. What is the purpose of data visualization? Often to evoke emotions and to help someone not familiar with the data understand how to interpret it. The people who accomplish this most effectively understand that the point isn't just to force data points into a visual form. If it were so simple, more people would be good at it (they aren't). > Clearly DataViz is Design I don't understand this sentence. I'm not trying to be difficult, but if DataViz is Design, what is Design?
xnx 2y ago
I've grown out of being impressed by flashy and difficult to understand data visualizations. I'm much more impressed by novel insight, clearly presented, in familiar ways.
- debeloo 2y ago
  I'd call what you describe as impressive, art. Flashy trashy is just crap. Some might call it art but then again everything is art these days.
  - malux85 2y ago
    The greatest form of art is the discussion on whether something is art or not. When you see a broken toilet sitting in an art gallery selling for 5 million dollars and someone thinks "I could do that, this is stupid", they have completely missed the point. The art is not the broken toilet, the art is selling it for 5 million dollars - which is something the complaining person definitly cannot do. That's the art.
- deleted 2y ago
  [deleted]
- jkaptur 2y ago
  I think the article addresses your point: "The fact that some disciplines of an art form demand more precision doesn't mean the whole field shares those demands. It would be like saying best practices for photorealism should be applied to abstract expressionism, or how we approach technical writing should be the same as how we approach poetry." It wouldn't make sense to say "I've grown out of being impressed by complex prose" - you're welcome to enjoy Faulker or not, but he simply didn't have the same goals as the authors of the Stripe documentation, and judging both pieces of writing by the same standard is basically pointless (except, perhaps, as an art project of its own). I'd even apply this to coding itself. Day to day, I think everybody around me should be writing Blub, grug-brain code, but I'm happy there are people trying creative, weird languages and mind-bending ideas elsewhere and I'm curious what they find out.
- culi 2y ago
gizajob 2y ago
I actually got the pie chart almost 100% correct…
mouse_ 2y ago
6% error on that pie chart. Pretty proud of myself ;)
- nh23423fefe 2y ago
  2% goml
deleted 2y ago
[deleted]
internet101010 2y ago
99% of the time it is design, 1% it is art. The goal is always to convey information in a digestible way without being misleading. An example of it being art is that video that illustrates death counts in WWII. The Wall Street Journal Guide to Information Graphics should be a required for reading for anyone working with numbers. tldr: only use color when necessary, avoid bold typefaces, keep scales consistent across charts unless there is a specific need to do otherwise.
- shriracha 2y ago
  A few thoughts there: 1. I generally agree with you on that goal, but there are a TON of ways to convey information in a digestible way without being misleading. Even if you follow good practices. 2. "Convey" is doing a lot of heavy lifting there. What are you conveying? One number? Many numbers? A specific story? As much data as possible to let the viewer find a trend themselves? Are the numbers important or the general direction of the data? Picking an answer and making the visual serve that goal is an art IMO.
__mharrison__ 2y ago
I just wrote a book (released yesterday!), Effective Visualization, that takes almost the opposite approach. Follow well-known patterns and know your audience. That should guide you to telling a good story. It can look pretty, but making it art for the sake of art probably won't resonate with your audience. That's been my experience after I've trained and consulted with some of the biggest companies in the world. https://store.metasnake.com/effective-viz https://store.metasnake.com/effective-viz
- shriracha 2y ago
  Congratulations on the book drop! So I'm not sure if you read my piece or just wanted to drop a promotion, but I think you're misrepresenting my view here. I'm not advocating for "art for the sake of art" and I certainly don't think you should not know your audience. My main point is that I don't think all of data viz is as simple as you're implying here, i.e. that a pretty chart probably won't "resonate" or that a chart from the Tufte school of thought automatically will.
  - __mharrison__ 2y ago
    I guess I disagree with this sentiment "Beyond that, I think there is a lot of room for creativity." My experience is that most folks creating visualizations don't need or want the capability to have freedom. They want guidelines to help them communicate well.
- wodenokoto 2y ago
  Almost all pictures on that page are cropped weirdly when viewing on mobile. Words are cut off in many.
thom 2y ago
It’s so easy to measure how fast and accurate users are at completing real tasks in your domain using various viz. I’d be disappointed if the conversation was purely between rigid principles and artistry.
- burch45 2y ago
  Yes. This is exactly the sort of information you’ll find in Bill Cleveland’s books.l (referenced at the start of the article then somewhat dismissed later). Bill Cleveland did all these sorts of studies with actual users about which visualizations are most accurate and quickest to parse. He did tons of work at IBM studying this stuff because they needed to use effective visualizations to convey information to decision makers. Unfortunately most of the visualization discourse has been taken over by people like Tufte who focus on style rather than measurable substance.
  - thom 2y ago
    Yes and I’m not saying you’re wrong to dismiss it - all that work has been passed down as immutable, static laws that people regurgitate to say some things are good and some are bad. The fact is, most viz exists to support specific tasks or decisions and you should always test those directly yourself.
patrick451 2y ago
> It is completely reasonable to give up some precision to: > - Reduce unnecessary cognitive load and emphasize a feeling, as in the Climate Stripes example. > - Encode a much higher volume of data, as in the Climate Globe example. > -Add delight and use a visual metaphor to show trends, as in the Coffee Shop example This the most absurd claim I have ever seen regarding data visualization. Give up precision for delight? Give up precision for a feeling? This article should have been tile "How to lie with graphs". The article is advocating for how to use graphs in the service of rhetoric, not science. This is exactly why visualizing data should NOT be treated as art. The first and third bullet point are obsolutely not reasons to give up
- shriracha 2y ago
  You think the Climate Stripes are an example of "lying"?
  - patrick451 2y ago
    I think obscuring details to foment emotion is lying regardless of what the chart is about.
    - shriracha 2y ago
      All visualizations abstract and obscure data. There is no such thing as a fully neutral graph. Should everything just be a raw table?
- BLKNSLVR 2y ago
  Giving up precision is different to giving up the narrative. The narrative can be helped by engagement and if that comes at the cost of precision, then that was the cost of getting the message further than it may have otherwise reached. In this case, what is meant by "give up some precision" is to try removing some sharp edges that get in the way of telling the story. It's a long way from lying (when done with due consideration). They're examples. Choose what works for your data and you your story to get the best result.
watersb 2y ago
On my old iPad 4, this page is essentially blank. I try to apply principles of progressive enhancement when I want to communicate. I start with plain HTML, basic text block structure and images. Interactive data viz can be a sublime way to tell a story with data. But if I can't explain the data with the basics, I try to rethink my approach. I absolutely believe that data visualization, as an art, A craft, can transform the way we share essential ideas. But I try to make sure a static hero image is up there when necessary.
openrisk 2y ago
Visualization seems to have stagnated in the AI craze era. Lots of androids touching holographic screens and what not, as metaphors for the almighty "AGI" coming any day now, but cant recall a major new development in the last five years? One area that might be "pregnant" for some new approaches is the visualization of large datasets, eg large graphs. Extracting useful (and objective) information instead of ovewhelming with the sheer number of data points. That is indeed the art of visualisation.
- wodenokoto 2y ago
  What was the major new development in visualization in the past 10 years? I don’t think there has really been one in decades. We’ve gotten better tools for making viz interactive but that’s about it.
  - openrisk 2y ago
    You are probably right. I would not discount the importance of many open source tools for making viz more widely available (and far more powerful than excel graphs) but its indeed tooling, not conceptual and in any case already available for more than a decade. Stagnation indeed.
ngriffiths 2y ago
> And creating art is about more than just precision. It's about evoking emotion, telling stories, and sparking curiosity. It's about making people think and feel. For sure, the best artists are the ones who take their whole perception of stuff, with the feelings and everything else, and put it directly in someone else's brain. I would maybe say that some data visualization is supposed to do that, particularly data journalism, but definitely not all data visualization. I think not all data visualization is art in the same sense that not all writing is literature, and in fact almost all isn't, because it's more like "I am in a shared info network with my boss/colleagues/clients/readers, and we need to communicate as rapidly and directly as possible, so we've agreed on a shared visual language that is higher bandwidth." Emails are slightly less exciting to read than a novel but like a million times faster to write per word. Which is kind of sad. It would be fun to hone that skill and there is no room for that at my job. (Side note, it seems like everyone always says that the pie chart problem is about lengths vs angles... but isn't it just that one chart has a shared baseline and the other doesn't? Taking the middle out [donut chart] to emphasize arc length doesn't actually solve the problem. Conversely, a stacked bar is more like a pie chart than a bar chart, except with a weird aspect ratio if you only have one stacked bar).
- shriracha 2y ago
  Author of the article here. Great points, thanks for reading and commenting. I think that data journalism is a great example of that "put it in someone's brain" idea. I also think there are all kinds of places we're seeing more novel approaches in too: data art, physical data viz (e.g. museum exhibits), visualizing huge datasets, etc. The Climate Stripes project, maybe the most famous data viz of the last couple decades, was made by a climate scientist. But I definitely agree that this "more experimental than rigid" side of data viz doesn't capture the majority of the field, nor should it!
nbzso 2y ago
Nice. But please educate yourself on a difference between art and design. They have similarities in language, but have completely opposite function. Art is a personal expression with a given medium which translates directly the intent. Design has a focus on thinking about the function and perceptions of other people. Visualizing data is a design problem.
- shriracha 2y ago
  No reason those need to be mutually exclusive. Posted this in another thread, but I don't see a good argument against this project (https://www.dear-data.com https://www.dear-data.com) being both data visualization and being an act of personal expression.
binghatch 2y ago
> The reason is that humans are much better at comparing lengths than they are at comparing angles. Maybe the subdivisions with exact numbers also play a significant role in the effectiveness of the bar chart in the article. It lets you compare against a clear reference, so you're often comparing to the scale itself rather than directly between bars.
RataNova 2y ago
I love the framing of data visualization as a balance of trade-offs. It's not just about picking the "best" chart type, it's about knowing why you're making the choices you are
LeffeBrune 2y ago
> The reason is that humans are much better at comparing lengths than they are at comparing angles. Are you sure 10% increment guides in bar chart have nothing to do with this?
- shriracha 2y ago
  Hah, so I actually went back and forth on that. The original studies around visual inference also included axis labels on the bar chart. The fact that you CAN label the axis on a bar chart that way is actually an argument people make not to use pie charts.

182 points by skadamat 2y ago

Ignoring the actual argument to focus on the object level example of pie-charts: Pie Charts are good for showing relative proportions of a whole for a relatively small number of items. Donut charts are better because humans tend to misread area slightly in pie charts.

shriracha 2y ago
Author of the article here! Yes you're completely right. I think they also have other underrated properties, like they fit neatly in a square which can be helpful for laying out a dashboard. And for some reason, in my experience, people just like them. But when done poorly, they can be a mess. Like any other chart.
- datadrivenangel 2y ago
  People also like misusing them: My favorite pie chart to hate on is a pair/sequence of pie charts showing proportions over time: Pie chart for 2020, 2021, 2022,2023, etc... 100% scaled stacked barchart is an option in every tool I've ever seen that can make a pie chart...

ge96 2y ago

Damn the coffe shop tracking ha

caycep 2y ago

this makes me nostalgic for the days when d3.js and observable made it regularly to HN front page...

datadrivenangel 2y ago
Be the change you wish to see in the world!
pnut 2y ago
Was looking for some mention of Mike Bostock and his epic odyssey into this space. For those who aren't familiar https://observablehq.com/@mbostock https://observablehq.com/@mbostock
- caycep 2y ago
  yes...I haven't seen him post for some time

bbor 2y ago

I don’t love the “me against the world” framing, but maybe I’ve just been blessed with good teachers — this is a great summation of what the HCI faculty at GaTech espouse! If it’s not a consensus yet, it should be. If the author pops by, I’ve just gotta say: you’re killin it with the cute illustrations, especially the dials one. Very inspiring stuff! Thanks for sharing, OP. EDIT: if I had to pick out any one idea for a casual reader to learn about, I’d definitely highlight “Cognitive Load”. It’s used as part of a broader discussion here, but when looked at in a certain light it can capture a whole lot of diverse factors in one consistent framework!

shriracha 2y ago
Thank you! Yeah, I hear you on the framing. I don't have a formal education on data viz myself (I guess not many people do?), but I've gotten into the world over the last few years. A lot of the literature I've seen has come across as dogmatic to me, which is what sparked this article. That's great to hear that your experience is more aligned with this way of thinking. And thanks for the nice words about the animations! Glad to hear that work doesn't go unappreciated haha
- bbor 2y ago
  To be fair, you're writing a blog, not a textbook - despite my complaint I'd probably do a bit of the same for the sake of engagement! Looking forward to seeing your posts in the future. Wish you could follow people on HN!

minimaxir 2y ago

During the rise of the generative AI backlash, I once saw a take along the lines of "data visualization doesn't count as art because you write it with code: art only counts if you put sweat and tears and labor into it." I was too baffled to respond.

RataNova 2y ago
By that logic, photography, digital painting, music production, and even architectural design wouldn't count as art because they involve tools and technology
stared 2y ago
I bet this person has never created a data visualization. On the contrary, I think data visualization (along with architecture, mathematics, and mechanical watches) is one of the most interesting art forms that requires strict constraints.

pabloarteel 2y ago

No, it's not an Art. I get that people use the word art as "difficult", "obscure" or "intangible" but... Art is about self-expression, evoking emotions, and open interpretation. Design is about problem-solving, functionality, and clear communication. Clearly DataViz is Design.

shriracha 2y ago
I don't see art and design as mutually exclusive. I also don't think that data viz is exclusively about functionality. Take a project like this: https://www.dear-data.com/theproject https://www.dear-data.com/theproject... this is clearly data visualization and, to me, quite evocative. These visualizations aren't designed for clarity and they don't need to be, that wasn't the goal.
exe34 2y ago
data Viz for it's own sake might be design - in real applications, you always have a story you're trying to tell - and it doesn't go away just because you're not consciously aware of it.
datadrivenangel 2y ago
Art as in craft/field! "State of the Art" is a phrase that refers to what is possible within a domain. There is also the implication that it takes judgement, maybe even an artistic sensibility. This is in opposition to a strain of thought within data viz from the Business Intelligence/Analytics side of the field that has succumbed to the MBA/Process gospel that preaches Repeatable Process and the siren song of good data visualization without using your brain! Is Design an Art?
haswell 2y ago
> Art is about self-expression, evoking emotions, and open interpretation Art is about these things, but is also about many other things. And art can be clear in its intentions, leaving little to interpret. What is the purpose of data visualization? Often to evoke emotions and to help someone not familiar with the data understand how to interpret it. The people who accomplish this most effectively understand that the point isn't just to force data points into a visual form. If it were so simple, more people would be good at it (they aren't). > Clearly DataViz is Design I don't understand this sentence. I'm not trying to be difficult, but if DataViz is Design, what is Design?

xnx 2y ago

I've grown out of being impressed by flashy and difficult to understand data visualizations. I'm much more impressed by novel insight, clearly presented, in familiar ways.

debeloo 2y ago
I'd call what you describe as impressive, art. Flashy trashy is just crap. Some might call it art but then again everything is art these days.
- malux85 2y ago
  The greatest form of art is the discussion on whether something is art or not. When you see a broken toilet sitting in an art gallery selling for 5 million dollars and someone thinks "I could do that, this is stupid", they have completely missed the point. The art is not the broken toilet, the art is selling it for 5 million dollars - which is something the complaining person definitly cannot do. That's the art.
deleted 2y ago
[deleted]
jkaptur 2y ago
I think the article addresses your point: "The fact that some disciplines of an art form demand more precision doesn't mean the whole field shares those demands. It would be like saying best practices for photorealism should be applied to abstract expressionism, or how we approach technical writing should be the same as how we approach poetry." It wouldn't make sense to say "I've grown out of being impressed by complex prose" - you're welcome to enjoy Faulker or not, but he simply didn't have the same goals as the authors of the Stripe documentation, and judging both pieces of writing by the same standard is basically pointless (except, perhaps, as an art project of its own). I'd even apply this to coding itself. Day to day, I think everybody around me should be writing Blub, grug-brain code, but I'm happy there are people trying creative, weird languages and mind-bending ideas elsewhere and I'm curious what they find out.
culi 2y ago

gizajob 2y ago

I actually got the pie chart almost 100% correct…

mouse_ 2y ago

6% error on that pie chart. Pretty proud of myself ;)

nh23423fefe 2y ago
2% goml

deleted 2y ago

[deleted]

internet101010 2y ago

99% of the time it is design, 1% it is art. The goal is always to convey information in a digestible way without being misleading. An example of it being art is that video that illustrates death counts in WWII. The Wall Street Journal Guide to Information Graphics should be a required for reading for anyone working with numbers. tldr: only use color when necessary, avoid bold typefaces, keep scales consistent across charts unless there is a specific need to do otherwise.

shriracha 2y ago
A few thoughts there: 1. I generally agree with you on that goal, but there are a TON of ways to convey information in a digestible way without being misleading. Even if you follow good practices. 2. "Convey" is doing a lot of heavy lifting there. What are you conveying? One number? Many numbers? A specific story? As much data as possible to let the viewer find a trend themselves? Are the numbers important or the general direction of the data? Picking an answer and making the visual serve that goal is an art IMO.

__mharrison__ 2y ago

I just wrote a book (released yesterday!), Effective Visualization, that takes almost the opposite approach. Follow well-known patterns and know your audience. That should guide you to telling a good story. It can look pretty, but making it art for the sake of art probably won't resonate with your audience. That's been my experience after I've trained and consulted with some of the biggest companies in the world. https://store.metasnake.com/effective-viz https://store.metasnake.com/effective-viz

shriracha 2y ago
Congratulations on the book drop! So I'm not sure if you read my piece or just wanted to drop a promotion, but I think you're misrepresenting my view here. I'm not advocating for "art for the sake of art" and I certainly don't think you should not know your audience. My main point is that I don't think all of data viz is as simple as you're implying here, i.e. that a pretty chart probably won't "resonate" or that a chart from the Tufte school of thought automatically will.
- __mharrison__ 2y ago
  I guess I disagree with this sentiment "Beyond that, I think there is a lot of room for creativity." My experience is that most folks creating visualizations don't need or want the capability to have freedom. They want guidelines to help them communicate well.
wodenokoto 2y ago
Almost all pictures on that page are cropped weirdly when viewing on mobile. Words are cut off in many.

thom 2y ago

It’s so easy to measure how fast and accurate users are at completing real tasks in your domain using various viz. I’d be disappointed if the conversation was purely between rigid principles and artistry.

burch45 2y ago
Yes. This is exactly the sort of information you’ll find in Bill Cleveland’s books.l (referenced at the start of the article then somewhat dismissed later). Bill Cleveland did all these sorts of studies with actual users about which visualizations are most accurate and quickest to parse. He did tons of work at IBM studying this stuff because they needed to use effective visualizations to convey information to decision makers. Unfortunately most of the visualization discourse has been taken over by people like Tufte who focus on style rather than measurable substance.
- thom 2y ago
  Yes and I’m not saying you’re wrong to dismiss it - all that work has been passed down as immutable, static laws that people regurgitate to say some things are good and some are bad. The fact is, most viz exists to support specific tasks or decisions and you should always test those directly yourself.

patrick451 2y ago

> It is completely reasonable to give up some precision to: > - Reduce unnecessary cognitive load and emphasize a feeling, as in the Climate Stripes example. > - Encode a much higher volume of data, as in the Climate Globe example. > -Add delight and use a visual metaphor to show trends, as in the Coffee Shop example This the most absurd claim I have ever seen regarding data visualization. Give up precision for delight? Give up precision for a feeling? This article should have been tile "How to lie with graphs". The article is advocating for how to use graphs in the service of rhetoric, not science. This is exactly why visualizing data should NOT be treated as art. The first and third bullet point are obsolutely not reasons to give up

shriracha 2y ago
You think the Climate Stripes are an example of "lying"?
- patrick451 2y ago
  I think obscuring details to foment emotion is lying regardless of what the chart is about.
  - shriracha 2y ago
    All visualizations abstract and obscure data. There is no such thing as a fully neutral graph. Should everything just be a raw table?
BLKNSLVR 2y ago
Giving up precision is different to giving up the narrative. The narrative can be helped by engagement and if that comes at the cost of precision, then that was the cost of getting the message further than it may have otherwise reached. In this case, what is meant by "give up some precision" is to try removing some sharp edges that get in the way of telling the story. It's a long way from lying (when done with due consideration). They're examples. Choose what works for your data and you your story to get the best result.

watersb 2y ago

On my old iPad 4, this page is essentially blank. I try to apply principles of progressive enhancement when I want to communicate. I start with plain HTML, basic text block structure and images. Interactive data viz can be a sublime way to tell a story with data. But if I can't explain the data with the basics, I try to rethink my approach. I absolutely believe that data visualization, as an art, A craft, can transform the way we share essential ideas. But I try to make sure a static hero image is up there when necessary.

openrisk 2y ago

Visualization seems to have stagnated in the AI craze era. Lots of androids touching holographic screens and what not, as metaphors for the almighty "AGI" coming any day now, but cant recall a major new development in the last five years? One area that might be "pregnant" for some new approaches is the visualization of large datasets, eg large graphs. Extracting useful (and objective) information instead of ovewhelming with the sheer number of data points. That is indeed the art of visualisation.

wodenokoto 2y ago
What was the major new development in visualization in the past 10 years? I don’t think there has really been one in decades. We’ve gotten better tools for making viz interactive but that’s about it.
- openrisk 2y ago
  You are probably right. I would not discount the importance of many open source tools for making viz more widely available (and far more powerful than excel graphs) but its indeed tooling, not conceptual and in any case already available for more than a decade. Stagnation indeed.

ngriffiths 2y ago

> And creating art is about more than just precision. It's about evoking emotion, telling stories, and sparking curiosity. It's about making people think and feel. For sure, the best artists are the ones who take their whole perception of stuff, with the feelings and everything else, and put it directly in someone else's brain. I would maybe say that some data visualization is supposed to do that, particularly data journalism, but definitely not all data visualization. I think not all data visualization is art in the same sense that not all writing is literature, and in fact almost all isn't, because it's more like "I am in a shared info network with my boss/colleagues/clients/readers, and we need to communicate as rapidly and directly as possible, so we've agreed on a shared visual language that is higher bandwidth." Emails are slightly less exciting to read than a novel but like a million times faster to write per word. Which is kind of sad. It would be fun to hone that skill and there is no room for that at my job. (Side note, it seems like everyone always says that the pie chart problem is about lengths vs angles... but isn't it just that one chart has a shared baseline and the other doesn't? Taking the middle out [donut chart] to emphasize arc length doesn't actually solve the problem. Conversely, a stacked bar is more like a pie chart than a bar chart, except with a weird aspect ratio if you only have one stacked bar).

shriracha 2y ago
Author of the article here. Great points, thanks for reading and commenting. I think that data journalism is a great example of that "put it in someone's brain" idea. I also think there are all kinds of places we're seeing more novel approaches in too: data art, physical data viz (e.g. museum exhibits), visualizing huge datasets, etc. The Climate Stripes project, maybe the most famous data viz of the last couple decades, was made by a climate scientist. But I definitely agree that this "more experimental than rigid" side of data viz doesn't capture the majority of the field, nor should it!

nbzso 2y ago

Nice. But please educate yourself on a difference between art and design. They have similarities in language, but have completely opposite function. Art is a personal expression with a given medium which translates directly the intent. Design has a focus on thinking about the function and perceptions of other people. Visualizing data is a design problem.

shriracha 2y ago
No reason those need to be mutually exclusive. Posted this in another thread, but I don't see a good argument against this project (https://www.dear-data.com https://www.dear-data.com) being both data visualization and being an act of personal expression.

binghatch 2y ago

> The reason is that humans are much better at comparing lengths than they are at comparing angles. Maybe the subdivisions with exact numbers also play a significant role in the effectiveness of the bar chart in the article. It lets you compare against a clear reference, so you're often comparing to the scale itself rather than directly between bars.

RataNova 2y ago

I love the framing of data visualization as a balance of trade-offs. It's not just about picking the "best" chart type, it's about knowing why you're making the choices you are

LeffeBrune 2y ago

> The reason is that humans are much better at comparing lengths than they are at comparing angles. Are you sure 10% increment guides in bar chart have nothing to do with this?

shriracha 2y ago
Hah, so I actually went back and forth on that. The original studies around visual inference also included axis labels on the bar chart. The fact that you CAN label the axis on a bar chart that way is actually an argument people make not to use pie charts.