‘Data Is Beautiful’: 150 Of The Most Interesting Charts And Graphs People Posted Online

Data is beautiful—and I’m in love. I swear it’s not just because of its gorgeous pie charts, voluptuous curves, and stunning axes… Promise! When it comes to showing off just how stunningly data can be presented, there’s no better to place to feast your eyes than the ‘Data is Beautiful’ subreddit that hosts a massive community of over 15.6 million people and which celebrated its 9th birthday in February.

The community is full of math, statistics, and art lovers, as well as professionals who use data every day. Often, they get so inspired by the eye-pleasing charts and graphs, they create their own and end up on the front page of Reddit.

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We’ve collected some of the most aesthetic expressions of data found on r/DataIsBeautiful for you to enjoy, so scroll on down and have a peek, dear Pandas. As you dive deep into the world of stats, upvote the images that you liked the most. Remember, the charts love it when the numbers go up. (Pssst, the subreddit even has its own Twitter page and Discord server.)

I had a lovely chat with some of the moderators running the ‘Data is Beautiful’ community, including redditors NotABotStill and PHealthy. So be sure to read on for the in-depth insights they shared with Bored Panda about the ins and outs of how the small team of professionals manages the massive community of content creators. They’re a very friendly bunch, so you shouldn’t hesitate to join the community if you’re into charts, graphs, maps, or, well… simply love looking at pretty pictures.

More info: Reddit | Twitter | Discord

#1 People Killed In Terrorist Attacks In 2017: Europe (Blue) vs. Africa (Red)

Image credits: valouhhh

#2 Us Elevation Tiles

Image credits: newishtodc

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.

#3 Area Of Land Burnt In Australia And Area Of Smoke Coverage Shown As Equivalent Area Over Europe

Image credits: neilrkaye

#4 Berlin Subway Map Compared To Its Real Geography

Image credits: vinnivinnivinni

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.

#5 I Ran A Quick Poll Last Week On Digital Transformation

Image credits: jcceagle

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#6 In America, Young Adults Are Now More Likely To Live With Parents Than Spouses

Image credits: Apartment_List

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.

#7 Trump Voters Are Less Likely To Have A College Degree

Image credits: heresacorrection

#8 Searches For International Men’s Day Peak Every International Women’s Day

Image credits: R1zzles

“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.

#9 What Percent Of Social Media Content Are Ads?

Image credits: Onhech

#10 Trending Google Searches By State Between 2018 And 2020

Image credits: V1Analytics

“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.

#11 The States In Blue Have A Combined Total Population Equal To Los Angeles County, In Red

Image credits: AlbinoInterior

#12 Two Thousand Years Of Global Temperatures In Twenty Seconds

Image credits: bgregory98

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.)

#13 Most Popular Web Browsers Between 1995 And 2019

Image credits: PieChartPirate

#14 My Experience Of Trying To Find A Job As A Pilot In The Last Four Months

Image credits: Colin1236

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.”

#15 Google Year In Search 2020 Top Search Terms

Image credits: informatica6

#16 Public Opinion Of Same-Sex Relations In The United States

Image credits: theimpossiblesalad

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.”

#17 To Show Just How Insane This Week’s Unemployment Numbers Are, I Animated Initial Unemployment Insurance Claims From 1967 Until Now. These Numbers Are Just Astonishing

Image credits: DorsaAmir

#18 The Popularity Of The Name ‘Karen’ Has Seen A Dramatic Decrease Within The Last Ten Years

Image credits: POUUER

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.

#19 A Year Ago I Was Hospitalized For A Failed Suicide Attempt, I Decided Then, That I Wanted To Be Healthier And Happier; This Is What A Year Of Therapy And Proper Medication Can Do. Don’t Give Up

Image credits: ryfry314

#20 Percent Of Air Per Bag Of Chips

Image credits: doughilarious

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.

#21 President Trump False Or Misleading Claims While In Office

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#22 Causes Of Financial Loss In The USA, 2011

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“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.

#23 Passenger Fatalities Per Billion Passenger Miles

Image credits: theimpossiblesalad

#24 Blockbuster Video Us Store Locations Between 1986 And 2019

Image credits: V1Analytics

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.

#25 My Anxiety Level vs. My Daughters Sentence

Image credits: petrocity06

#26 Lyrical Composition Of Daft Punk’s ‘Around The World’

Image credits: _The_Mattmatician

“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.

#27 2020 Electoral Map If Only ____ Voted. Breakdown By Each Major Demographics

Image credits: dustingibson

#28 Harry Potter Characters: Screen Time vs. Mentions In The Books

Image credits: chartr

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!

#29 The Impact Of Smartphones On The Camera Industry

Image credits: theimpossiblesalad

#30 Us College Tuition & Fees vs. Overall Inflation

Image credits: chartr

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!

#31 States Kanye West Received Votes In

Image credits: Dremarious

#32 Top 10 Highest Covid-19 Donations With The Percentage Of Their Net Worth

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#33 Donald Trump’s Tweet Announcing His Covid-19 Diagnosis Is, By Far, His Most Liked Tweet Since Becoming Us President

Image credits: nathcun

#34 Continents & Countries Compared

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#35 Cause Of Death – Reality vs. Google vs. Media

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#36 The Environmental Impact Of Beyond Meat And A Beef Patty

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#37 11 Different Brands Of Aa Batteries, Tested In Identical Flashlights

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#38 The City Is Alive: The Population Of Manhattan, Hour-By-Hour

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#39 Would You Rather Be Hot Or Cold?

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#40 10 Years Of Tesla Stock Prices

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#41 What Percent Gordon Ramsay’s Kitchen Nightmares Are Still Open?

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#42 Net Worth Comparison Of The Top 10 Richest Person In The World In March 2020 And January 2021

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#43 Most F-Words In A Scripted Film

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#44 I Finished My Year Long Temperature Blanket!

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#45 American War Casualties + Death Rate Compared With American Covid Deaths

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#46 Selected Leaders During The Queens Reign (Up To Now)

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#47 Us Oil Price

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#48 Rna Sequence Of Covid19. This 8kb Of Data Is Responsible For All The Chaos Out There

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#49 Ratings Of Disney Animated Classics vs. Live Action Remakes

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#50 The Five Largest Companies In 2010 vs. 2020

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#51 Rolls Of Toilet Paper Used Per Person Per Year

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#52 When Is It Acceptable To Start Playing Christmas Music?

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#53 I Analysed 70 Years Of Baby Names In The Us To Decide What To Call A Male Karen. It’s Terry

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#54 Distribution Of Snickers Letters In My Halloween Candy

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#55 Leonardo Dicaprio Refuses To Date A Woman His Age [oc]

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#56 Paths Of 800 Unmanned Bicycles Being Pushed Until They Fall Over

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#57 People Killed By Police Forces (Annual Rate Per 10 Million People)

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#58 Average Flag Colour By Latitude

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#59 Result Of 6 Days Of Job Hunting As An Experienced Icu Nurse Searching For A Travel Nurse Contract

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#60 Youth Behavior Trends In The United States, 9th Grade, 14-15 Years Old

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#61 Hardest Golfing President

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#62 The Absolute Quality Of Breaking Bad

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#63 I Cycled Through All The Streets Of Central London

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#64 Cardiac Related Deaths During 2013 In The Contiguous USA Compared To Waffle House Locations

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#65 My Attempt To Graphically Combat The Idea That U.S. Has More Cases Because We Test More

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#66 Relative Rotation Rates And Axial Tilts Of (The Only) Mapped Planets And Dwarf Planets

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#67 Population Distribution In Canada

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#68 Combined Faces Of Top 500 Professional Golfers

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#69 Where Is Each Ore Found In A Minecraft World?

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#70 Tracking My Push-UPS In 2020. My New Year’s Resolution, Was To Do 100 Push-UPS In One Go. It Was A Slow Burn, Took Over 8 Months And 48 Attempts To Build Up My Strength And Stamina (Age 49)

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#71 Attendance At Donald Trump’s Rally In Tulsa, Compared To The Number Of Tickets Trump Claimed Were Requested

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#72 How Does Covid Compare To A Bad Winter Flu Season?

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#73 I Got Annoyed With FedEx And Created A Visualization Of My Package’s Journey

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#74 What’s The Biggest One Hit Wonder On Spotify?

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#75 Hey Jude Lyrical Composition

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#76 Similarity In Color Palettes And Orange Between 2049 And 2020 In San Francisco

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#77 Let’s Hear It For The Lurkers! The Vast Majority Of Reddit Users Don’t Post Or Comment

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#78 I’ve Been Taking Stock Market Chart And Turning Them Into Landscape Art. An Alternative And Simple Explanation Of The Pandemic Affect These Companies. This One A Years Snapshot Of Ford

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#79 I Made This Blanket. It’s The Daily High/Low Temperatures For Denver In 1992

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#80 I Grew 97 Different Types Of Broccoli This Summer And Visualized Their Biological Diversity

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#81 What Are The Most Common Birthdays In The United States?

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#82 My Wife Made This Blanket That Indicates A Certain Temperature For Every Day Of The Year. 2016 Pennsylvania

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#83 Most Popular Colors In Among Us

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#84 What I’m About To Learn About After My Kid Says, “Wanna Know Somefing?” Data Collected Over The Course Of 7 Days

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#85 Coronavirus Deaths vs. Other Epidemics From Day Of First Death (Since 2000)

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#86 How Representative Are The Representatives? The Demographics Of The U.S. Congress, Broken Down By Party

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#87 I Recorded My Travels As A Professional Truck Driver Since 2012

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#88 Worst Episode Ever? The Most Commonly Rated Shows On Imdb And Their Lowest Rated Episodes

Image credits: BoMcCready

#89 What’s Going On With Gamestop In 4 Charts

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#90 The Meteoric Rise Of Among Us: How A 2 Year Old Game Became Viral Overnight

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#91 Birthday Frequency Graphic Featured In Today’s New York Post

Image credits: BoMcCready

#92 All Tom Cruise’s Wives Were 33 At Time Of Divorce…

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#93 Robinhood Is Getting Wrecked In The App Store

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#94 1920 Presidential Election

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#95 Conterminous Us Elevation Generalized By 500km² Hexagonal Tessellation

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#96 The Great Pacific Garbage Patch

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#97 Last Week, I Defended My Dissertation And Recorded My Heart Rate During The Event

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#98 How The Number Of Words Spoken By A Character In An Episode Correlates With The Imdb Score Of South Park

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#99 What Women Want Over The Years

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#100 Highest Grossing Box Office Bald Actors Of Hollywood

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#101 Area Of Land Burnt In Australia Compared To The Size Of Ireland

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#102 “The Office” Characters’ Most Distinguishing Words

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#103 Most Frequent Nba Shot Locations

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#104 For Everyone Asking Why I Didn’t Include The Spanish Flu And Other Plagues In My Last Post

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#105 I Sat By A Fire And Recorded What People Said

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#106 Covid-19 Spread From January 23 Through March 14th

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#107 2020 Presidential Candidates By Net Worth

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#108 The Yellow States In The Map Below Are The States In Which It Is Legal To Own A Raccoon

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#109 Where The Money Goes In The Us Senate’s $2t Coronavirus Stimulus Bill

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#110 USA Covid Cases Syringe

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#111 Two Thousand Years Of Global Atmospheric Carbon Dioxide In Twenty Seconds

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#112 This Chart Comparing Infection Rates Between Italy And The Us

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#113 Recorded Music Industry Revenues

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#114 Optimal Routes From The Geographic Center Of The U.S. To All Counties

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#115 Tinder Over 3 Years (18-21 Male)

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#116 Youtube’s Top 100 Most Subscribed 2010 vs. 2019

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#117 Popularity Of The Name “Karen” Over Time In The Us

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#118 A Plot Of Covid-19 Cases With Quotes From The President Superimposed. Data From Wikipedia/Jhu And Snopes. Made With Mathematica

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#119 Bloomberg’s Campaign Expenditures Compared To The Gdp Of The Only Primary He Won

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#120 My Daughters Sleeping Patterns For The First 4 Months Of Her Life. One Continuous Spiral Starting On The Inside When She Was Born, Each Revolution Representing A Single Day. Midnight At The Top (24 Hour Clock)

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#121 “My Eyes Hurt”

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#122 U.S. Covid-19 Cases By 2016 Election Results

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#123 Taylor Swift’s Newfound Infatuation With Alcohol

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#124 There Was A Spike In Buying Of Kodak Stock In The Day Before The Announcement Of A Massive Loan From The Us Government Caused The Price To Skyrocket Over 1000%

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#125 Source Of The Most Residents Born Out-Of-State, 2017

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#126 Shower Temperature Compared To Handle Position

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#127 One Hour Of Active Satellites Orbiting Earth

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#128 Asking 100 People For A Random Number From 1 To 10

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#129 Covid Cases And Deaths In The U.S. As A Percentage Of Total Population. 1 Square = 10,000 People

Image credits: data-artist

#130 Fewest Countries With More Than Half The Land, People And Money

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#131 The Cost Of Our “Inexpensive” Wedding (Us, 2019)

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#132 Crop To Cup. I Grew Coffee And Drank It, Made Some Notes

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#133 Rating Of Simpsons Episodes According To Imdb Score

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#134 Density Map Of Stars On National Flags

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#135 Southern Texas Got As Cold As Alaska. The Freezing Temps Prompted Dangerous Blackouts In Several Cities

Image credits: Geographist

#136 What Would The UK Flag Look Like If It Represented Its Constituent Nations Proportionally?

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#137 Us States By Wikipedia Article Length

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#138 Us Covid Death Toll Visualisation With Coffins And White House

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#139 The Richest Person In Each State As Of 2019

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#140 Solar System Planets Size

Image credits: datagist

#141 Visualizing Pi – Distribution Of The First 1,000 Digits

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#142 “Whitest” Injuries: Percentage Of Individuals Who Went To The Er For A Given Activity Who Reported As White

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#143 Daily Airline Passengers In 2019 vs. 2020

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#144 Each Color Represents 1/3 Of The Us Population

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#145 Heart Rate During Layoff

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#146 The Debate Drinking Game, According To Data Science!

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#147 Songs Have Gotten Louder Over Time

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#148 U/Ihatetheletterf Is A Mad Lad

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#149 What If “I Didn’t Vote” Ran As A Us Presidential Candidate In The 2020 Election?

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#150 Oreos I Have Not Stress-Eaten Yet

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Source: boredpanda.com

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