Dataisbeautiful

Thank you for your Original Content, /u/FrankCesco!
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This map shows the percentage of people who answered "Walser" to the question "In quale lingua o dialetto le viene meglio parlare?" [Which language or dialect do you speak in a better way?] in a sociolinguistic survey carried out in the Aosta Valley and some Walser municipalities in Piedmont in 2001.

I elaborated the data using QGIS and then I edited the map with paint.net

Thank you for your Original Content, /u/Juamocoustic!
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I think it's interesting to see that China, and Asia in general, have grown significantly in the last almost-30 years. You can also clearly see the catching up that has been going on in Eastern Europe after the fall of the iron curtain. And I guess it's comforting to see that almost everyone in the world saw some, albeit not very high, average increase year-over-year in their standard of living.

Tools and data:
Data from the World Bank, visualization in Python.

Thank you for your Original Content, /u/jmerlinb!
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Data wrangling done in Python. Data visualisation done in D3.js. Data Source: SerentaFlowers

Caveats:

• What are all those light greens and dark greens? Some bouquets feature a heavy amount of greenery and foliage, with actual petals being relatively sparse. In these cases, the ColorThief module returned the dominant colour as "green". (There's probably a more machine-learning-y way to do this, for example, by dynamically cropping each photo to the petals of the flower - and if you know how to do this, PM me.)

• What about bouquets with more than one colour of flower? The ColorTheif dominant colour algorithm will select which ever colour is most dominant. In the case where there is an exactly equal 50/50 amount of, say, purple and yellow flowers in a bouquet, the algorithm will essentially flip a coin to work out which colour (yellow or purple) was deemed most dominant.

Thank you for your Original Content, /u/Matad0r0!
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Kinda disheartening. Glad you stay persistent. Maybe you could hang up some of the visuals to say knock this shit off and see if the numbers drop

Data source: My friends and I have been picking up litter and tracked every single piece that we picked up.

Tools: Used the iOS app Rubbish to gather data, Tableau to filter and visualize by days that we cleaned, then stitched together with after effects.

Background:You might have seen my friend's bag of 8,000 cigarettes on r/pics last week, or the first post I made here. This is a 6 month update for trashtag. Check out our project here.

Days with the count highlighted in red saw totals more than 2 standard deviations above average (most notably the two weekends around Halloween)

We took this data and installed a cigarette butt receptacle in the area with the highest concentration of butts, just south of Green Street. This one unit diverted over 1,000 butts in 6 weeks.

Edit: Total # cigarettes picked up & visualized: 29,728

That's a lot of butts!

Nice visualisation and we'll done for picking up litter, I really appreciate it and I'm sure many others do too.

Smokers, for some reason, feel it is OK to just throw their cigarette litter on the floor, out the car window, into the river, sea, lake, bush, whatever and wherever they want. It's selfish and disgusting.

They don't care about their own health (would not smoke if they did), so I suppose we can't expect them to care about anyone else's...

By the way, do you have any statistics relating to the visualisation? Maybe % of litter types?

Right where all the bars are located. Go further down toward Tenderloin and you can pick up syringes and condoms.

Sad that we can see this happening with Juul pods (or equivalents) as well. Everywhere I go I see those small plastic casings

Buildings used to have "butt buckets" right outside the front doors. Laws prohibiting smoking within 20 feet of the doors, or whatever, encourage businesses to remove the receptacles.

And the butts end up on the ground.

What am I missing? how is this data being generated? its super cool but I have so many questions, is this the painstaking labor of someone? or is there a super cool automated process?

It's the same in my city, and a big part of the problem is that there are no ashtrays or even garbage cans available because they tried to ban smoking on the sidewalk but dont enforce it because it doesnt work. I'm a smoker. I'm going to smoke on the sidewalk because I dont actually get a break at work, and I run a store alone. Usually, I put my cigarette out and dump the butt in the garbage when I get inside, but having a designated place for butts would help. People are still going to be shit, but it would reduce the amount of litter.

Cigarette filters while an eyesore aren't as bad as people think they are. They're comprised of 95% cellulose acetate which is just plant fiber washed clear in a gelatinous acid. Wikipedia says CA readily decomposes in 4 or 5 months.

I feel for you though on the eyesore part of it, I'm always out here at work with my $2 pick up stick from harbor freight. Also venues should have to provide outdoor ashtrays. People aren't going to stop smoking, and will usually put butts where they belong if there's a proper receptacle.

Thank you for your Original Content, /u/jmerlinb!
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Here's a version without the yellow background.

Data wrangling done in Python. Data visualisation done in D3.js.

Data Source: SerentaFlowers.com

Essentially, this is a kind of 100% stacked bar graph. The thickness of the coloured bars is proportional to the amount of orders that month of that particular colour bouquet (as there will be more bars generated with that colour).

When plotted out over time, you see particular patterns forming. For example:

• orange bouquets become popular during the autumn months, but not so much in summer or spring.

• red bouquets peak in February (for Valentines) and in Christmas (because it's cold - and perhaps red is seen as a warming colour.)

• yellow bouquets are popular all year round, except for December (but experience a peak in January, perhaps because yellow flowers represent newness and fresh starts)

Mega thanks to Lokesh's ColorThief Python package: I used this to work out the dominant colour of each bouquet photo.

Caveats:

• What are all those light greens and dark greens? Some bouquets feature a heavy amount of greenery and foliage, with actual petals being relatively sparse. In these cases, the ColorThief module returned the dominant colour as "green". (There's probably a more machine-learning-y way to do this, for example, by dynamically cropping each photo to the petals of the flower - and if you know how to do this, PM me.)

• What about bouquets with more than one colour of flower? The ColorTheif dominant colour algorithm will select which ever colour is most dominant. In the case where there is an exactly equal 50/50 amount of, say, purple and yellow flowers in a bouquet, the algorithm will essentially flip a coin to work out which colour (yellow or purple) was deemed most dominant.

For more detailed information on how this visualisation was created, you can check this blog post.

Thank you for your Original Content, /u/tseepra!
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Limerick appears to be the unlabeled city south of Galway and north of Cork. Not sure why it wasn't labeled while some smaller cities were labeled.

Made in PostGIS/QGIS.

Based on the census POWSCAR data: https://www.cso.ie/en/census/census2016reports/powscar/

Inspired by:

http://www.spatialoverlay.xyz/ireland/ireland-a-country-in-motion-methodology/

And of course:

http://www.undertheraedar.com/2015/09/from-mega-regions-to-mega-commutes-us.html

Previous version:

https://www.reddit.com/r/MapPorn/comments/b1dff8/commuting_in_ireland_oc/

Can you explain a little more about what this means? Interesting, but I'm a bit confused about the NI bit

It’s a bit interesting that no city has just NBA and NHL, as they can and often do share an arena space.

Source: wikipedia for teams and a special thanks to XKCD for this superior 5-way Venn diagram

Method: photoshop

Never in my life did I expect to see a grouping that placed Buffalo and Las Vegas into the same category.

Interestingly, 9/10 of the top 10 cities not included have professional minor league baseball teams, all at
AAA or AA level.

I'm so out of the loop and just had one of those moments where you feel old at 36. I wanted to comment on Winnipeg no longer having a hockey team, only to discover that the Thrashers moved there years ago. I distinctly remember them becoming the Coyotes and well yeah, I'll just stop now ...

A bunch of Ducks fans are gonna be pissed you lumped them with Los Angeles. I'd say Angels fan would be pissed, but technically Los Angeles is in their name.

for the "not included" cities it would be more accurate to break it down by metropolitan area population versus just city population.

​

edit: as many people have pointed out they are ordered by metro area...just change the title so it is labelled as such.

Look at how hip Austin is. They are too cool for the other sports, and the one that they do have is still considerd "trendy."

Way to bring up that Hartford had the Whalers taken from them. Not cool dude. Now I'm gonna have to go console them.

This diagram is the same shape as this xkcd. Is this shape from a certain visualization package or did you borrow the shape from xkcd?

Edit: The xkcd is mentioned I just missed it.

What's the rationale behind lumping Oakland, San Jose and San Francisco are all lumped into "Bay Area?"

Oakland and San Francisco both have MLB teams and NFL teams.

Fairly pedantic, but Minneapolis does not have an NHL or MLS team. The Wild and Minnesota United play in St Paul. It may be more accurate to say "Twin Cities."

This is a lot of fun to look at. I definitely get that being super pedantic is counterproductive here, but as a fun fact for non-natives, Minnesota's MLS and NHL franchises are actually both in St. Paul! You could make that listing "The Twin Cities" for a more accurate bucket ala "Bay Area".

I can't believe Grand Rapids (GR) is on the list for largest cities not included. I guess I didn't realize GR was that big. Beer City USA FTW.

Phoenix is in consideration for the MLS 2nd Expansion in the coming years. Its kinda dumb how we‘ve never had a team.

So if Raleigh gets and MLS team as everyone loves to talk about, we'll move out of a section with just Canadian cities into one with just Canadian cities and Columbus. What a step up...

I wonder if the CFL (Canadian Football League) should have been included. There is no overlap between the CFL and the NFL, so it wouldn't have to be a full 6-way Vern diagram...

Does Anaheim not count for both NHL and MLB? And no, regardless of the Angels' name, we are not part of Los Angeles.

Interesting to see a market as big as San Diego Metro only has one professional team, and its an MLB team.

Quite surprised Tulsa is on the top cities without a team, granted there’s a bunch of cities already accounted for but still.

I feel like NHL should have been on top because most those cities that don't have any other sports are far north. That's a cool display though

So if St Louis gets an MLS team, they'll move from a purple box by themselves to a darker purple box by themselves

Someone get Toronto an nfl team. Jacksonville doesn’t need one.

Providence kinda shares the Pats with Boston. Foxboro is midway between the two cities, and they’re the ‘New England’ Patriots after all.

Its very interesting. I think color schemes can be improved though to make overlaps more easily identifiable.

Birmingham will continue to be on that "not included" list as I doubt the Birmingham metro will grow to support a major league sports team.

I'd say Huntsville-Madison (maybe also Decatur) has a better chance, as there's actually new investment and population growth in Limestone and Madison counties.

B'ham had a chance, but all these communities fighting each other killed it.

You see that chart NFL! More reason why Toronto needs a NFL team. Toronto is the only city sitting at 4/5 without the NFL... and no the CFL doesn't count.

To be pedantic (which I think is appropriate for the subreddit), Boston doesn't have an NFL team. The Patriots are the "New England" Patriots because the field is in Foxborough.

I wonder what the distribution skewing is like on Southern cities and NHL participation. I know there's some but it would be a bit natural not to have an ice sport in an area that never freezes.

As someone who lives by grand Rapids. Sad that we don't have a professional sports team. Minor league teams which I guess are technically professional. But not a top tier team.

Toronto is an NFL team away from becoming an American city (I guess? There should be some kind of distinction for having all five major league teams)

It’s funny because whenever I travel to Charlotte I am reminded of how much it looks like Indianapolis

Interesting that the 4th largest city in North America - Toronto - doesn't have an NFL team. Can't say we haven't tried though.

But San Diego has an indoor lacrosse team though. And also an indoor soccer team too. And what about hockey? We have the Gulls

Wow impressive to see Tulsa on the top 10 list population wise that doesn't have a pro team. I guess we'll put the MLB team up there once we steal that from Seattle too. /s

Going to nitpick a little.

Minneapolis is listed in the center with the other five-league Cities. Only three of the five play in Minneapolis. The Minnesota Wild and Minnesota United play in Saint Paul.

Saint Paul has enough of an inferiority complex as it is; please make it feel better and change it to ‘Mpls-St Paul’.

Wait. Richmond is seriously in the top 10 largest not mentioned? That’s nuts. Must be all the breweries causing our population to grow.

Obligatory fuck Howard Schultz and Clay Bennett from removing us from being in the inner-circle in 2021.

The knights had such an amazing first season they literally turned Vegas into a hockey city. Dont really care so much about the Raiders.

I feel like this would make a delicious pretzel.

Not trying to joke so unnecessarily, but this actually is a pretty interesting 5-way Venn diagram, I like how compact is appears to be and didn't take that long to immediately comprehend

Wonder how soon Louisville will be up in the Diagram. Louisville City FC moving to MLS might be most possible. Shame we don't have a larger baseball scene here.

If you are going to use "bay area" as a city/region, then you should use "so cal" as a city/region.

Not sure why you'd split those up.

TIL the Tampa Bay Mutiny are no longer a thing. Wasn't ever a soccer fan, but growing up in the area I had been to a few games.

NJ was left off of the diagram. They should be in the NHL category. Technically football and MLS also since NY only has basketball and baseball. This diagram is flawed

It's not really "North American", just the USA and Canada. No city from outside these two countries is listed.

[deleted]

i love venn diagramshere's some cool ones:four set

five set

I find it interesting that VA has no major league sports teams outside of maybe claiming "Washington".

The New Jersey Devil's play in Newark, NJ but I don't see that here. Did you just include that as NY?

Doesn't a cross on a Venn diagram confirm that there is an entry there? It's been a while since I've had to use them.

I’d personally love to see how the college sports relates to this data wise. Living in the Midwest and being a hockey fan is rough.

Thank you for your Original Content, /u/Thaufas!
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Generally speaking, showing the data is better than showing some analysis of the data. The one on the right may be helpful for some specific purpose, but should only be included in addition to the left.

The sparse edge of the right plot, especially, seems to be implying information where none exists.

Depends on exactly what the data is and how you’re going to use it. Both look cool, but which would fit your needs best?

Visualization was created with R. The source code is listed below. I was inspired by this DataIsBeautifulPost, which asked which is better, a 2d scatterplot or a 2D contour plot. Personally, I prefer the scatterplot, but with one key change: make the points partially transparent, which allows the viewer to see regions of high and low density much more clearly.

Source Code

library(ggplot2)library(tibble)library(gridExtra)NumDataPoints <- 1000set.seed(98321)dat <- tibble(   x = rlnorm(NumDataPoints, meanlog = 4, sdlog = 0.75)  ,y = sapply(x, function(x) rnorm(n = 1, mean = x, sd = x))  ,state = cut(log(x), breaks = 4, labels = c("red", "green", "purple", "black"), ordered_result = FALSE))hist(dat$x)p1 <- ggplot(dat, aes(x, y)) +  geom_point(alpha = 0.10, pch = 16, size = 5) +  scale_color_manual(values = "black") +  ggtitle("Scatter Plot with Partial Transparency") +  theme(    text = element_text(size = 20)  )p2 <- ggplot(dat, aes(x, y)) +  geom_density2d(size = 2) +  ggtitle("Same Data as Contour Plot with 2D bins") +  theme(    text = element_text(size = 20)  )grid.arrange(p1, p2, layout_matrix = matrix(1:2, nrow = 1, ncol = 2))

EDIT 1: Contour is misspelled in the title of the plot on the right. The spelling error has been fixed by updating the source code.

I'm a fan of doing a contour plot for the dense regions, with scatter points for outliers. For this you'd want a much smaller bin size for the contours, so you can see the structure of the dense regions.

Thank you for your Original Content, /u/GU3MS!
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Source: Google sheets log

Tool: http://sankeymatic.com

The tool ended up getting a little laggy because there were probably more nodes than usual for this visualization. It was a little too frustrating to rearrange the nodes because the lag was painful so that's why we've got some clutter on this one.

Thought people might appreciate this cool "aerial" view of the growth and decline of tech giants AAPL, MSFT and AMZN since 1996. These are the top three from this awesome visualization by /u/TheNerdistRedditor I chose to do only the top three since I'm still working on the platform and there are some minor bugs that cause the data to get wonky if there are inconsistent dates.

I find it interesting how much more dramatically MSFT was affected by the dot com boom, and we can see AMZN's massive growth in recent years despite it hardly budging during the run up to 2008. On the source platform this chart is interactive which makes it very fun to play with :)

• Data is sourced from company SEC filings by Sharadar via Quandl.
• Charting library is ECharts
• Visualization was generated by LazyFA

Hope you all enjoy!