40 Interesting Charts People Shared On This Group That Might Change Your Perspective On Things

Despite having millions and millions of members, the subreddit still maintains some of the core tenets that they had when it was still founded. The moderator team is purposefully left as a small group of professionals who focus on data visualization as some part of their careers and lives. That passion for data translates into passion for the r/DataIsBeautiful community.

What’s more, the subreddit treats its original content creators as “first-class citizens,” constantly engaging them, and making sure they’re credited and acknowledged for their work (as all creators should be!). 

“We bring a data-centric view of the world to millions of people every day—from important information about the COVID-19 pandemic all the way to a random dude's daily bowel movements—and our community prides itself in that fact. For example, we had community members posting analyses and projections of COVID-19 trends back in January and February 2020—well before anyone in the U.S. was taking the pandemic seriously. /r/DataIsBeautiful is THE place to go when you want to see the signal through the noise of hectic daily life,” one of the moderators explained why the community is so loved and popular.

The amount of posts and comments that the mods of r/DataIsBeautiful have to deal with is absolutely staggering. I’m not exaggerating when I say that my jaw dropped when I heard about it. The subreddit gets roughly 400-500 submissions each week and has had 2,370 approvals, removals, and spam posts over the last month alone.

Meanwhile, the number of comments they get is beyond counting, but the mods estimate that the number ranges in the tens of thousands and might even be as high as over a hundred thousand.

Redditor NotABotStill has been a moderator at r/DataIsBeautiful for two years and revealed to Bored Panda that the mod team is global, with members living in the EU, US, and APAC, so that they can cover all the time zones.

The level of professionalism that they have is pleasantly surprising. However, that makes sense once you realize that they’re actually all professionals in their personal lives and are a very close-knit group who regularly communicate. You can expect this level of dedication from people running a successful company.

“We certainly refine the rules over time. For example, we no longer allow YouTube videos as it was being abused by content creators looking for subs on their channel. We also occasionally temporarily prohibit specific subjects, like Tinder or dating posts, when a topic overwhelms the subreddit although dating posts are allowed again,” moderator NotABotStill explained.

“We also only allow personal posts (posts about the poster such as miles jogged over a year as an example) on Mondays which I believe we instituted during my tenure. That's just a flavor of the types of rules we add, adjust, or remove over time. Rule changes are done by consensus of the mods and we will often spend days or weeks deciding on new rules and how to word them,” they said that they’re always moving towards perfection, with a lot of time spent on making the subreddit better and better.

The moderators manually approve or remove each and every post, but they mostly rely on their fellow redditors to report posts and comments that violate their rules of conduct. They also use AutoMod to help move the process along. Posts that go against the rules end up being automatically removed, so the mods can spend more time on important issues rather than chores.

“Most posts are visible immediately, however, we also utilize AutoMod to ‘filter’ out posts that likely violate a rule. Speaking of AutoMod, we heavily rely on it to filter, or make invisible, both posts and comments based on keywords, user karma, and URL links (to name a few) which then have to be manually approved before they are visible. We also utilize it to automatically remove posts that violate our rules (e.g., YouTube links or directly linking an image and not claiming [OC]) so we mods don't even have to see them.”

NotABotStill pointed out to us that popular posts on the subreddit “are often approved multiple times” because they’re reported while some posters end up reposting the images because the AutoMod catches the [OC] error. That means that the number of original monthly posts is probably closer to 1,500 to 2,000, once you do away with the reposts and multiple approvals.

Moderator NotABotStill explained that they rely on the users to upvote and downvote submissions and don’t make subjective evaluations about how each one is or isn’t aesthetic. In other words, what the community thinks is incredibly important.

When asked, the mod said that they wouldn’t be able to choose between which they like more, pie charts or bar graphs, and would prefer “a simple Excel line chart any day over those two.” (Personally, I know I should prefer bar graphs, but my heart belongs to pie charts.)

Meanwhile, moderator PHealthy highlighted that the subreddit has had “fairly linear growth” since being founded in 2012. The growth started to slow down in 2017 and 2018, however, the sub is still adding thousands of new members each day. “That said, with the way Reddit works the subscriber count isn't all that important above a certain point which is enough to it r/all and/or the front page. That hits on a topic most of the more serious subreddits face: good content vs popular content.”

PHealthy said that moderating the community is a team effort. However, some mods go “above and beyond and really keep the community moving” where the automated mod tools end up not being enough. “I moderate a few other large communities so I split a lot of my time and try to help with the modqueue as much as I can but really only go after the real egregious offenses like hate speech, racism, personal attacks, etc.”

The moderator added that the number of submissions can vary depending on what’s happening around the globe at the time. “COVID for instance gets a big spike as well as popular post copycats.”

In PHealthy’s opinion, animated graphs are rarely better than something like a grouped bar graph, even though they certainly draw the eye. “Pies and bars certainly both have their uses but we've all seen the results of tortured dataviz and I think that's where something like the pie chart gets a bad rap.”

The moderators of ‘Data is Beautiful’ also went in-depth around what kind of content they consider to be good, what visualizations are popular, and what falls into both categories (if this were a Venn diagram, the latter would be the part where the two circles intersect).

Here are two examples of top posts in the last month that “look good and engage the audience to change over time on a popular subject” right here and here. Meanwhile, images like this one and this one might be popular because of the subject matter and what Redditors prefer, however, they’re “awful” and “difficult to read.”

Finally, here’s an example of great data visualization that, unfortunately, doesn’t do great because the subject matter doesn’t appeal to the audience or it’s too technical.

The ‘Data is Beautiful’ subreddit is about finding the perfect blend of beauty and brains. Or about the best way to present any particular dataset if you look at things from a different perspective. The subreddit is here to share and discuss all the various visual representations of data. From graphs and charts to, yes, even maps!

Another moderator who’s had 7 years of experience working with r/DataIsBeautiful explained that “back in the early days,” they were a niche community focused on attracting data visualization researchers and professionals. With the occasional enthusiast dropping by, too, of course! Eventually, with the growth of the community thanks in large part to a cordial relationship with the Reddit administrators, the subreddit grew to encompass a much broader range of members.

“Most of our discussions back then focused on critiques and improvements of the data visualizations themselves, a focus that still sits at the core of the community to this day,” the moderator shared what the start of the community was like.

“In February 2012, the Reddit admins and DIB mods agreed to make /r/DataIsBeautiful a default subreddit. That meant that every new Reddit user would automatically be subscribed to DIB and our top content would consistently show up on the Reddit front page. After that point, our community grew extremely fast and continued growing even when the default subreddits were abolished in mid-2017,” they shared one of the reasons why the sub grew as fast and as big as it did.

It really isn’t just about the pretty pictures, however. Anyone who wants to dig a little deeper and learn a bit more about how to visualize data well can do so. “We provide a handful of guides for folks just learning to create data visualizations, and we require every original content post to include at least a brief description of the data source and how the data visualization was created so folks can learn from that. DIB is a great place to learn the craft of data visualization by doing,” the moderator shared with Bored Panda.

“DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim of this subreddit,” the subreddit explains what it’s all about.

Now, pretty graphs might not be the entire story, but they can sure help express data in a way that grabs (and holds!) your attention, so you can understand the data better. Something that’s clear and stunning will help you remember it better. And if you understand something well, you can then use that data in arguments and (socially distanced) dinner parties.

As a whole, the community very much appreciates originality and creativity. They encourage people to post their own original content (it’s got that little OC sign next to in case you want to see what’s what). If there’s a graph that you love in particular, send the creator a warm ‘thank you’ to encourage them to keep on creating data eye-candy. And if you end up sharing it somewhere, be sure to credit it properly. It’s original content, after all!

So, dear Pandas, which chart or graph did you enjoy the most? Do you think that good data will always speak for itself or do we have to give it a gentle nudge to make it more palatable for our eyes and minds? Do you draw maps in your spare time just like I do? And, we’ve got to ask—do you prefer pie charts or bar graphs, dear Readers? Leave us a comment below!