What is machine learning and how does Netflix use it for its recommendation engine?

What is machine learning and how does Netflix use it for its recommendation engine?

What is machine learning and how does Netflix use it for its recommendation engine?

What is an online recommendation engine?

Think about examples of machine learning you may have encountered in the past such as a website like Netflix  that recommends what video you may be interested in watching next?
Are the recommendations ever wrong or unfair? We will  give an example and explain how this could be addressed.

2023 AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams
2023 AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams

Machine learning is a field of artificial intelligence that Netflix uses to create its recommendation algorithm. The goal of machine learning is to teach computers to learn from data and make predictions based on that data. To do this, Netflix employs Machine Learning Engineers, Data Scientists, and software developers to design and build algorithms that can automatically improve over time. The Netflix recommendations engine is just one example of how machine learning can be used to improve the user experience. By understanding what users watch and why, the recommendations engine can provide tailored suggestions that help users find new shows and movies to enjoy. Machine learning is also used for other Netflix features, such as predicting which shows a user might be interested in watching next, or detecting inappropriate content. In a world where data is becoming increasingly important, machine learning will continue to play a vital role in helping Netflix deliver a great experience to its users.

What is machine learning and how does Netflix use it for its recommendation engine?
What is machine learning and how does Netflix use it for its recommendation engine?

Netflix’s recommendation engine is one of the company’s most valuable assets. By using machine learning, Netflix is able to constantly improve its recommendations for each individual user.

Machine learning engineers, data scientists, and developers work together to build and improve the recommendation engine.

  • They start by collecting data on what users watch and how they interact with the Netflix interface.
  • This data is then used to train machine learning models.
  • The models are constantly being tweaked and improved by the team of engineers.
  • The goal is to make sure that each user sees recommendations that are highly relevant to their interests.

Thanks to the work of the team, Netflix’s recommendation engine is constantly getting better at understanding each individual user.

How Does It Work?

In short, Netflix’s recommendation algorithm looks at what you’ve watched in the past and then makes recommendations based on that data. But of course, it’s a bit more complicated than that. The algorithm also looks at data from other users with similar watching habits to yours. This allows Netflix to give you more tailored recommendations.

For example, say you’re a big fan of Friends (who isn’t?). The algorithm knows that a lot of Friends fans also like shows like Cheers, Seinfeld, and The Office. So, if you’re ever feeling nostalgic and in the mood for a sitcom marathon, Netflix will be there to help you out.

But That’s Not All…

Not only does the algorithm take into account what you’ve watched in the past, but it also looks at what you’re currently watching. For example, let’s say you’re halfway through Season 2 of Breaking Bad and you decide to take a break for a few days. When you come back and finish Season 2, the algorithm knows that you’re now interested in similar shows like Dexter and The Wire. And voila! Those shows will now be recommended to you.

Of course, the algorithm isn’t perfect. There are always going to be times when it recommends a show or movie that just doesn’t interest you. But hey, that’s why they have the “thumbs up/thumbs down” feature. Just give those shows the old thumbs down and never think about them again! Problem solved.

Another angle :

When it comes to TV and movie recommendations, there are two main types of data that are being collected and analyzed:

1) demographic data

2) viewing data.

Demographic data is information like your age, gender, location, etc. This data is generally used to group people with similar interests together so that they can be served more targeted recommendations. For example, if you’re a 25-year-old female living in Los Angeles, you might be grouped together with other 25-year-old females living in Los Angeles who have similar viewing habits as you.

Viewing data is exactly what it sounds like—it’s information on what TV shows and movies you’ve watched in the past. This data is used to identify patterns in your viewing habits so that the algorithm can make better recommendations on what you might want to watch next. For example, if you’ve watched a lot of romantic comedies in the past, the algorithm might recommend other romantic comedies that you might like based on those patterns.

Are the Recommendations Ever Wrong or Unfair?
Yes and no. The fact of the matter is that no algorithm is perfect—there will always be some error involved. However, these errors are usually minor and don’t have a major impact on our lives. In fact, we often don’t even notice them!

The bigger issue with machine learning isn’t inaccuracy; it’s bias. Because algorithms are designed by humans, they often contain human biases that can seep into the recommendations they make. For example, a recent study found that Amazon’s algorithms were biased against women authors because the majority of book purchases on the site were made by men. As a result, Amazon’s algorithms were more likely to recommend books written by men over books written by women—regardless of quality or popularity.

These sorts of biases can have major impacts on our lives because they can dictate what we see and don’t see online. If we’re only seeing content that reflects our own biases back at us, we’re not getting a well-rounded view of the world—and that can have serious implications for both our personal lives and society as a whole.

One of the benefits of machine learning is that it can help us make better decisions. For example, if you’re trying to decide what movie to watch on Netflix, the site will use your past viewing history to recommend movies that you might like. This is possible because machine learning algorithms are able to identify patterns in data.

Another benefit of machine learning is that it can help us automate tasks. For example, if you’re a cashier and have to scan the barcodes of the items someone is buying, a machine learning algorithm can be used to automatically scan the barcodes and calculate the total cost of the purchase. This can save time and increase efficiency.

The Consequences of Machine Learning

While machine learning can be beneficial, there are also some potential consequences that should be considered. One consequence is that machine learning algorithms can perpetuate bias. For example, if you’re using a machine learning algorithm to recommend movies to people on Netflix, the algorithm might only recommend movies that are similar to ones that people have already watched. This could lead to people only watching movies that confirm their existing beliefs instead of challenged them.

Another consequence of machine learning is that it can be difficult to understand how the algorithms work. This is because the algorithms are usually created by trained experts and then fine-tuned through trial and error. As a result, regular people often don’t know how or why certain decisions are being made by machines. This lack of transparency can lead to mistrust and frustration.

What is Problem Formulation in Machine Learning and Top 4 examples of Problem Formulation in Machine Learning?

What are some good datasets for Data Science and Machine Learning?

This scene in the Black Panther trailer, is it T’Challa’s funeral?

r/marvelstudios - This scene in the Black Panther trailer, is it T’Challa’s funeral?

Recommended New Netflix  Movies 2022

  • Unwanted Netflix Gift Card
    by /u/richiesum88 (Netflix) on July 18, 2024 at 4:48 pm

    I recently had a birthday and was gifted a Netflix gift card. I do not stream media on any application and genuinely have no use. Is there any way I can redeem it on another website or use it for something besides the website? If not, I will most likely donate to a family member, but just curious. submitted by /u/richiesum88 [link] [comments]

  • Why can’t I watch The secret world of sound?
    by /u/ohbabypop (Netflix) on July 18, 2024 at 4:23 pm

    I’m trying to watch The secret world of sound by David Attenborough and I can’t, the only option I have is to set a reminder. Is there a reason? Is that happening to you too? submitted by /u/ohbabypop [link] [comments]

  • No way it's this bad, right?
    by /u/lillepille1337 (Netflix) on July 18, 2024 at 4:14 pm

    So I am going abroad on vacation tomorrow, so I decided to finally download and watch Breaking Bad. I already had another show downloaded so Netflix stopped my download short at around S2 E8 or something, the prompt it gave me was that I have too many downloads so I can't download any more. Fine I said, I'll just delete the other show and only watch Breaking Bad then. So I deleted the other show and the prompt was still there. Okay, let me re-download BB and see if it lets me then. Nope, apparently I can only download BB once a year, and no more. So Netflix won't let me download all the episodes up until S2 E9 until 2025-07-18.... This has to be a massive oversight or a bug right? There is absolutely no way a service can be this bad. I am genuinely considering canceling my subscription at this point. I kinda get why they'd have a limit like this, probably to prevent some kind of exploit, but make it more clear damnit. And I wouldn't have to have done this if the stupid prompt would've just gone away and let me download the show... submitted by /u/lillepille1337 [link] [comments]

  • All In One Streaming Services In One App?
    by /u/Websterix94 (Netflix) on July 18, 2024 at 4:14 pm

    Hello, I am annoyed by switching through streaming services to find the movies or series I am looking for. Are there any all-in-one app for streaming services. I am already paying for many streaming services and looking for one integrating super app. Do you know any app that could do it? submitted by /u/Websterix94 [link] [comments]

  • Image freezes but audio continues. But only on one show?
    by /u/thebleedingphoenix (Netflix) on July 18, 2024 at 3:20 pm

    Trying to watch The Magicians and this has been happening for several days now. I've cleared cache, restarted my phone, un-installed and re-installed the app, and downloaded the whole season and it's still doing it. But it only does it on this one show- all others play normal. Any ideas? submitted by /u/thebleedingphoenix [link] [comments]

  • Reality Shows
    by /u/Opposite_Many7475 (Netflix) on July 18, 2024 at 2:49 pm

    I feel like Netflix is trying to recreate what MTV had with the real world/road rules/challenge, but with poorer execution. The Perfect Match cast from all the other Netflix shows seems like they are trying to make it happen, but the premise of these shows are so weak. The Challenge has been so successful for so many years because of the amazing challenges, the big prize pots, the classic cast, etc. Netflix’s shows are weak with unlikeable contestants. I think they really lack the appeal of older reality shows! Just my opinion lol submitted by /u/Opposite_Many7475 [link] [comments]

  • Why does this title go on a black screen when played, but not others?
    by /u/LegendOfFN (Netflix) on July 18, 2024 at 1:09 pm

    I updated my drivers and also reset my netflix but nothing happened. submitted by /u/LegendOfFN [link] [comments]

  • Netflix Joint Subscription (India)
    by /u/Next_Sun_8585 (Netflix) on July 18, 2024 at 12:28 pm

    Hey guys, there's three of us planning to buy premium subscription of netflix (India) with joint venture and looking for a fourth member who'd be interested to join us. Whoever is interested may dm me or just comment down here. Thanks submitted by /u/Next_Sun_8585 [link] [comments]

  • MXQ Pro 4k Compatibility
    by /u/perryc (Netflix) on July 18, 2024 at 12:21 pm

    Does anybody experienced MXQ Pro compatibility issues recently? I am receiving error saying it's no longer supported but wondering if anybody here have already found a workaround? Thanks. submitted by /u/perryc [link] [comments]

  • NETFLIX UK APP
    by /u/danielmac80 (Netflix) on July 18, 2024 at 11:26 am

    Hi all, has anyone elses uk app suddenly changed, my searchbar from the left of the screen is now at the top and i cant find the new releases bit that used to be there. it is like the app has updated but i am not aware that this has happened. Any advice would be greatly appreciated submitted by /u/danielmac80 [link] [comments]

  • MAID : BİR ANNE, BİR YAZAR, BİR HİZMETÇİ
    by Zeynep Elliott (Netflix on Medium) on July 18, 2024 at 10:36 am

    Parasızlık, savunmasızlık, pes etme lüksüne sahip olmamak. Kulağa acı ve ızdırap dolu bir konu gibi gelse de kalpleri ısıtan ve yer yer…Continue reading on Medium »

  • Serial Killer Movie Recommendations
    by /u/Lostiswhereiam (Netflix) on July 18, 2024 at 9:31 am

    I have watched almost all Serial Killer and Psychological Suspense and Thriller movies on Netflix, mostly the ones in Spanish, Norwegian, Danish, Neapolitano, and French. And of course, the English ones. Now whenever I'm trying to find serial killers, or ritual killing, or pattern killing movies, I am only suggested the previous ones in loop. That's why, I have even seen all the Korean and Japanese movies too. Can you suggest some more on/outside Netflix? Languages don't matter. Theme:Serial killers, ritual killers, psychological thrillers, etc. submitted by /u/Lostiswhereiam [link] [comments]

  • O Fraco “Desaparecidos na Noite” (2024)
    by Marcia (Netflix on Medium) on July 18, 2024 at 9:23 am

    O drama/mistério/suspense italiano “Svaniti nella Notte”, de Renato De Maria (Caterina Caselli Una Vita, Cento Vite), lançado na…Continue reading on Coadjuvante »

  • Screen flashing (?)
    by /u/Izebizeke (Netflix) on July 18, 2024 at 9:15 am

    Hi, I tried to watch Neon Genesis Evangelion on my laptop on netflix, but for some reason there is intermittent flashing (?) on the screen and often enough to give up. Does anyone know what is causing this? submitted by /u/Izebizeke [link] [comments]

  • 4k HDR playback through HDMI 2.0
    by /u/lucipher_24 (Netflix) on July 18, 2024 at 8:50 am

    I want to play netflix on my TV through my laptop via HDMI. I earlier used to watch Drive to Survive on my TV app in 4k hdr until netflix household problem came about and now I can only watch on my laptop. My friend suggested that I should watch it via HDMI. My current laptop is limited to 1080p 60hz but I am planning on buying a laptop with 4k/60hz support. However, I am confused if hdr would work on hdmi 2.0 or should I get one with hdmi 2.1, since I read a post earlier that Hdr on hdmi 2.0 works with subsampling and I am not sure if netflix would allow HDR playback on my TV. submitted by /u/lucipher_24 [link] [comments]

  • ‘M3GAN 2.0’ Rolls Cameras With Timm Sharp, Aristotle Athari, Jemaine Clement & More
    by /u/JeanMorel (Movie News and Discussion) on July 18, 2024 at 8:42 am

    submitted by /u/JeanMorel [link] [comments]

  • How Well Do You Remember Power Ranger Series? Take This Quiz To Find Out!
    by /u/Chinmaye50 (Netflix) on July 18, 2024 at 8:27 am

    submitted by /u/Chinmaye50 [link] [comments]

  • SERIES REVIEW: Beef (2023)
    by Karthik Govil (Netflix on Medium) on July 18, 2024 at 7:15 am

    Genre: dramaContinue reading on Medium »

  • SERIES REVIEW: Peaky Blinders (2013-present?)
    by Karthik Govil (Netflix on Medium) on July 18, 2024 at 7:03 am

    Genre: soap opera (for men), action, dramaContinue reading on Medium »

  • when you cancel netflix extra member slot, will the member know?
    by /u/Meanie_Cream_Cake (Netflix) on July 18, 2024 at 6:52 am

    when you cancel netflix extra member slot, will they know. I want to avoid unnecessary drama. Will Netflix notify them that their membership was cancelled? submitted by /u/Meanie_Cream_Cake [link] [comments]

World’s Top 10 Youtube channels in 2022

r/dataisbeautiful - [OC] World's Top 10 Youtube Channels of 2022

T-Series, Cocomelon, Set India, PewDiePie, MrBeast, Kids Diana Show, Like Nastya, WWE, Zee Music Company, Vlad and Niki

Techies and Geek Inspired Movies and TV Shows – Netflix Amazon Prime Video HBO YouTube TV

Techies and Geek Inspired Movies and TV Shows

Techies and Geek Inspired Movies and TV Shows – Netflix Amazon Prime Video HBO YouTube TV

If you’re a movie buff or a geek, there’s no doubt you love spending your free time watching films and TV shows that inspire your passions. And in the age of Netflix, Amazon Prime Video, and HBO, there’s no shortage of inspiring content to watch. This blog post takes a look at some of the best geeky and tech-inspired movies and TV shows available on streaming services today. So whether you’re a die-hard Star Wars fan or you can’t get enough of Andy Griffith reruns, there’s something for everyone in this roundup!

As a software engineer who works long hours and go to kids activities after work, TV shows and movies help me relax after work.

This blog is an aggregate of trailers, questions and answers about of Geek inspired Movies and TV Shows.

Marvel Pictures! Here’s options for downloading or watching Black Panther 2: Wakanda Forever streaming the full movie online for free on 123movies & Reddit including where to watch Universal Pictures’ movie at home. Is Black Panther 2: Wakanda Forever 2022 available to stream? Is watching Black Panther 2: Wakanda Forever on Disney Plus, HBO Max, Netflix or Amazon Prime? Yes we have found an authentic streaming option / service. Details on how you can watch Black Panther 2: Wakanda Forever for free throughout the year are described below.

Watch Here: Black Panther 2: Wakanda Forever Free Streaming

Is Black Panther 2: Wakanda Forever on Netflix? Black Panther 2: Wakanda Forever is not available to watch on Netflix. If you’re interested in other movies and shows, one can access the vast library of titles within Netflix under various subscription costs depending on the plan you choose: $9.99 per month for the basic plan, $15.99 monthly for the standard plan, and $19.99 a month for the premium plan. Is Black Panther 2: Wakanda Forever on Hulu? They’re not on Hulu, either! But prices for this streaming service currently start at $6.99 per month, or $69.99 for the whole year.

Hulu + Live TV. Is Black Panther 2: Wakanda Forever on Disney Plus? No sign of Black Panther 2: Wakanda Forever on Disney+,which is proof that the House of Mouse doesn’t have its hands on

Watch Here: Black Panther 2: Wakanda Forever Free Streaming

every franchise! Home to the likes of ‘Star Wars’, ‘Marvel’, ‘Pixar’, National Geographic’, ESPN,

STAR and so much more, Disney+ is available at the annual membership fee of $79.99, or the

monthly cost of$7.99. If you’re a fan of even one of these brands, then signing up to Disney+ is definitely worth it, and there aren’t any ads, either.

Is Black Panther 2: Wakanda Forever on HBO

Max? Sorry, Black Panther 2: Wakanda Forever is not available on HBO Max. There is a lot of

content from HBO Max for $14.99 a month, such a subscription is ad-free and it allows you to access all the titles in the library of HBOMax. The streaming platform announced an ad-supported version that costs a lot less at the price of $9.99 per month.

Is Black Panther 2: Wakanda Forever on Amazon

Video? Unfortunately, Black Panther 2: Wakanda Forever isnot available to stream for free on

Amazon Prime Video. However, you can choose othershows and movies to watch from there as it has a wide variety of shows and movies that youcan choose from for $14.99 a month. Is Black Panther 2:

Wakanda Forever on Peacock?

Black Panther 2: Wakanda Forever is not available to watch onLine

Peacock at the time of writing. Peacock offers a subscription costing $4.99 a month or $49.99 per year for a premium account. As their namesake, the streaming platform is free with content out in the open, however, limited.

Is Black Panther 2: Wakanda Forever on Paramount Plus?

Black Panther 2: Wakanda Forever is not on Paramount Plus. Paramount Plus has two subscription options: the basic version ad-supported Paramount+ Essential service costs$4.99 per month,


AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence (OpenAI, ChatGPT, Google Gemini, Generative AI, Discriminative AI, xAI, LLMs, GPUs, Machine Learning, NLP, Promp Engineering)

How long have you fallen asleep during Black Panther (2018) Movie? The music, the story, and the message are phenomenal in Black Panther. I have never been able to see another Movie five times like I did this. Come back and look for the second time and pay attention.

Watch Black Panther (2018) WEB-DL movies This is losing less lame files from streaming Black Panther (2018), like Netflix, Amazon Video. Hulu, Black Panther (2018) chy roll, Discovery GO, BBC iPlayer, etc. These are also movies or TV shows that are downloaded through online distribution sites, such as iTunes.

Is Black Panther 2: Wakanda Forever on Amazon Prime?

Amazon Prime is not streaming Black Panther 2: Wakanda Forever movies. However, the streamer has a wide range of latest movie collections for their viewers, including Train to Busan, The Raid: Redemption, Hell or High Water, The Florida Project, and Burning.

Is Black Panther 2: Wakanda Forever on HBO Max?

No. Black Panther 2: Wakanda Forever is a Sony movie, not a Warner Bros. movie. Also, HBO Max will no longer be streaming theatrical movies in 2022. (Last year, Warner Bros. opted to simultaneously release its theatrical slate on streaming, meaning HBO Max subscribers could watch movies like Matrix Resurrections at home. This year, however, Warner Bros. theatrical movies will have a 45-day theaters-only run before moving to HBO Max.)

Techies and Geek Inspired Movies and TV Shows  - Netflix Amazon Prime Video HBO YouTube TV

Lupita Nyongo will be the new Black Panther. The opening of the trailer shows her in the Black Panther suit and she is missing from the rest of the trailer.

n the trailer the Queen/Bassett says her entire family is dead. It also shows Lupita giving birth to T’Challa’s child.

So, the Atlanteans attack. Shuri is killed in her attempt to take the BP mantle and defend Wakandan, or maybe captured and presumed dead. Then Nakia gives birth. Somehow a heart shaped herb is found and given to her, she is powered up and quickly recovers from giving birth (she may even take it while pregnant because she is seriously injured in the Atlantean attack.) Nakia becomes BP and queen regent. She fights Namor, and maybe also rescues Shuri.

Something like that.

 

Day Shift | Jamie Foxx, Dave Franco, and Snoop Dogg | Official Trailer | Netflix

source: r/movies

Day Shift:

Bud Jablonski (Jamie Fox) is a pool cleaner who scores extra cash as an exterminator, ridding the San Fernando Valley of its enduring vampire problem. But he does this work freelance—not part of the slayers union—so it’s not as lucrative as it is for his friend Big John Elliott (Snoop Dogg,) who is using his clout to bring Bud back to guild wages and benefits.

DEATH OF A LADIES’ MAN (2022) – Official Trailer

Trying to wrap my head around why they called the movie Death of a Ladies Man but used Bird on a Wire instead.

The movie was “inspired by the songs of Leonard Cohen.” So, I assume they’re going to use more than one.

Source: /r/movies

Ticket to Paradise | Official Trailer [HD]

What if in the end of Ocean’s Thirteen Danny and Tess got married, had a kid and divorced and now 20 years later try to sabotage their child’s engagement.

Looks like a rom com where there’s not a single unpredictable moment and yet will still be kind of fun.

Bodies Bodies Bodies | Official Trailer 2 HD | A24

SEE HOW THEY RUN | Official Trailer | Searchlight Pictures

It’s obvious from the popularity of “only murders in the building”, “knives out”, and the recent Christie movies that we’re entering a new era of campy mystery movies and I couldn’t be more excited for it.

source: r/movies

Thirteen Lives – Official Trailer | Prime Video

Just watching the trailer is making me feel claustrophobic.

source: r/movies

NOPE – Official Alternate Trailer – July 22

Ace the Microsoft Azure Fundamentals AZ-900 Certification Exam: Pass the Azure Fundamentals Exam with Ease

s it just me or do all of the night scenes look like they’re filmed in the day and color shifted to look like it’s night?

I remember they did that in 28 weeks later and it looked really jarring and cheap.

source: r/movies

Honor Society | Official Trailer | Paramount+ | July 29th

It wrinkles my brain that McLovin is now old enough to play a teacher.

source: r/movies

Vikrant Rona | Official trailer (English) | releasing on July 28

Kannada film industry producing really great movies.., visuals are at Hollywood level.., KGF 2, 777 Charli, Vikrant Rona..

What TV show was amazing at first but became unwatchable for you later on?

Heroes

Season 1 was great and fresh. Season 2 didn’t know what to do with itself and just started giving everyone super powers.

If you are looking for an all-in-one solution to help you prepare for the AWS Cloud Practitioner Certification Exam, look no further than this AWS Cloud Practitioner CCP CLF-C02 book

By Season 3, characters were just changing motivations at the drop of a hat and it was just a huge mess of bad writing.


The blacklist, so many loopholes and a never ending plot. I mean, the female hero (forgot her name) was wanted and had her pictures broadcast nationwide live, but a couple of weeks after she can do undercover work.


Not the worst offender, but That 70’s Show tanked pretty hard once Eric left. He was sorely needed to make the chemistry of the group work.


Once Upon a Time. The first 3 seasons were good! And then after that they just kept getting worse


source: r/askreddit

 

What are movies where the final line of dialogue is the title of the movie?

I was watching Chinatown last night (great movie, btw!) and got to the final scene already knowing what the last line is, cause it’s famous and all, but only then clicked that the last word spoken is the title of the movie. (I know you can hear some cops sorta talking in the background as the camera pans out but I don’t think anyone would say that is the final dialogue in the movie).

Anyway, got me thinking, what are some other movies like this? Last words are the title of the film.

1- “And then they realized they were no longer little girls…They were little women.” – As read by Moe

2- Perfection

3- “I am Iron Man

4- The Breakfast Club

5- “It’s Fantastic.”

6- “Say that again”

7- “It’s Fantastic”

8- “Guys, I think I’ve got it”

9- Fant4stic

10- I told my wife about my dinner with Andre

11- Queen’s Boulevard

12- “By the end of that summer of ’59, we truly were a Fellowship of the Ring.”

13- Mystery men ends with a reporter asking “who are these Mystery men?”

14- “Finally, an end to these Star Wars”

source: r/movies

 

I’d argue he’s the second most powerful member of The Seven

(Note, I’m doing TV Show Black Noir)

Black Noir is my favorite character in The Boys only second to Stormfront (cause she’s hot). So I always wanted to publicly share where I scale Noir, but before I do this, I have to share a few stuff stuff.

  1. The Boys Presents Diabolical is mostly canon, specifically episodes 6,7 and 8.

That’s really all, now sit back and enjoy (or dislike) this answer.


  • Section 1: AP

Black Noir’s AP feat-wise isn’t too impressive since his speed is the real deal, but he’s still no joke since he’s able to fight and defeat Kimiko in a battle.

 
 

(I consider this fight to be an outlier since Black Noir should be faster than her, but it doesn’t change the fight since Black Noir is stronger)

And keep in mind this is the same Kimiko that survived attacks from A-Train

 
 

And even reacted to A Train while he was going fast

 
 
Kimiko speed feat
Imgur: The magic of the Internet
 

This says a lot since she was badly damaged while fighting Noir (Had to use her self healing to survive), and she didn’t even get harmed that much while fighting A-Train since she got back up a few seconds later.

And he has shown himself to be much stronger than Starlight in multiple instances

 
 

https://giant.gfycat.com/ImpossibleExhaustedHarvestmouse.mp4

This is the same Starlight that survived an attack from Stormfront (Same with Kimiko)

 
 

And Starlight tanked a Serbu BFG 50A with no injury

 
 
Starlight durability #1
Imgur: The magic of the Internet
 

So already Noir scales above Kimiko and Starlight and scales above A Train due to a better performance aganist Kimiko, you could also argue his AP being at least on par with Maeve due to the tree nut scene and her deciding to use tree nuts instead of fighting him.

 
 

But it’s an iffy argument, doesn’t really matter though cause I think Noir beats her regardless.


  • Section 2: Speed

My favorite section yet.

Noir is stated to be much faster than a car

Not too impressive but this is just the start.

Black Noir was consistently able to dodge Homelander’s beams

And dodged Homelander himself

 
 
Blacknoirvshomelander GIF – Find & Share on GIPHY
Discover & share this Blacknoirvshomelander GIF with everyone you know. GIPHY is how you search, share, discover, and create GIFs.
 

I made an answer as to why Homelander is Hypersonic+ at least and his lasers are faster, check it out

 
 

Homelander is narratively potrayed to be the most powerful being in The Boys and should be the fastest

Not only that but Black Noir is consistently able to counter Homelander’s beams with his knives and is fast enough to throw them

https://i.giphy.com/media/mopdzvwJYP1FbseXKL/giphy.mp4 https://i.giphy.com/media/JrxshenT8yh7W7kpxi/giphy.mp4

No one in The Boys has shown a good speed feat like Black Noir just for this (excluding Homelander) not even A Train has shown anything like this.


  • Section 3: Durability

Doesn’t show too much but he’s able to tank a bomb from Naqib

 

With minor injuries to him

And tanked explosions previously as well

https://giant.gfycat.com/AdorableAbandonedInchworm.mp4 https://giant.gfycat.com/ElementarySpeedyDodo.mp4


  • Section 4: Others

Not too much but he’s great at Martial Arts, Stealth, Weapons, etc. He’s basically Batman

I hope you enjoyed the answer, wanna thank some people who remain annoymous for proving the scans to some of these

The Western TV shows that are usually considered the best, are the ones from the 50s and 60s.

Rawhide (1959 – 1965).

Bonanza (1959 – 1973).

Wagon Train (1957 – 1965).

Maverick (1957 – 1962).

Have Gun – Will Travel (1957 – 1963).

The Wild Wild West (1965 – 1969).

Gunsmoke (1955 – 1975).

Thanks for reading. Source: https://qr.ae/pvPYMs

The Gray Man | Official Trailer | Netflix

  • ~默杀(2024)完整版-1080P.HD.ZH下载 高清电影~
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  • ‘M3GAN 2.0’ Rolls Cameras With Timm Sharp, Aristotle Athari, Jemaine Clement & More
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  • ’24’ Film in Early Development at 20th Century, Produced By Brian Grazer
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  • What is the most shocking thing to happen to a child character on screen?
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    Usually films avoid child victims, either implying or leaving it off screen. What movies break this rule, and show on screen something violent, extreme, or shocking happening to a child character? The most obvious example I can think of is Hunger Games because child characters die by the truckload, which I think is part of why they did so well financially. But those deaths aren't really shocking per se since they were expected. What other examples can you think of? submitted by /u/BardInChains [link] [comments]

  • I just realized that — in Point Break (1991) — Bodhi wearing the Reagan mask isn't the only connection between him and the former president.
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    At one point before robbing a bank, Bodhi says "If you project weakness, that promotes violence — and that's how people get hurt." Bodhi of course wears the Reagan mask throughout the film when committing bank robberies. While watching a Cold War documentary, I discovered that Bodhi's approach when disguised as Reagan was similar to Reagan's. In fact, Reagan specifically said "We maintain the peace through our strength; weakness only invites aggression." Basically — they both recognized the importance of peace, through superior firepower. submitted by /u/MediaGoneVintage [link] [comments]

  • Has there ever been a better year for comedy movies than 2004
    by /u/Assassinator2111 on July 18, 2024 at 2:09 am

    When recommending some comedy movies on another sub the other day I realised that alot of the most iconic comedy movies came out in 2004 such as Anchorman, Team America, Shaun of the Dead, Napolian Dynamite, White Chicks, Meet the Fockers, Bridget jones, Shrek 2, Euro Trip and 50 first dates. Can anyone think of a more iconic year for comedy movies?? submitted by /u/Assassinator2111 [link] [comments]

  • Charlize Theron Explains 'The Old Guard 2' Release Delay
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  • Fandango Founder J. Michael Cline Dies After Falling From New York Hotel
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  • Ernest Goes To Camp (1987)
    by /u/dimmu1313 on July 17, 2024 at 11:44 pm

    I had seen this movie many times growing up, but it recently occurred to me that I hadn't seen it probably 15 years or more. First of all, let me say that while some of the clumsiness of Ernest feels a bit forced, the physical comedy is still very good. But it's also important, like any niche movie, that it be taken for what it is: it is first and foremost an "after school special" type of kids movie with a moral, as well as a slapstick comedy. That said, despite still showing not great reviews all around, the movie is actually really good, and, dare I say, pretty emotional. During the "sad" sequence, I actually started crying, and I'm a guy in my 40s who doesn't cry often. part of it I'm sure is the fact that I'll never get over the loss of Jim Varney. He's not only a great physical comedic actor, he was an outstanding actor period. p overall though, for what it is, this movie is actually really very good. John Vernon, as always, has a real talent for being very evil, and while his character is an obvious caricature of every "bad business man up to no good", he clearly took and played the role seriously. He was so good at "lawful evil" (though of course this character like so many of his resorts to breaking the law to get what he wants), walking the line of being sociopathic capitalist to the very limit that his lawyer would allow, eventually losing patience and crossing the line. Even before recently rewatching it, over the years I often sing to myself "I'm awfully glad it's rainin'" when it rains. I really miss Jim Varney and love these movies. They still hold up, and at still funny, entertaining, and at times strangely moving. submitted by /u/dimmu1313 [link] [comments]

  • What is your comfort movie?
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    What’s a movie you could watch over and over again that just makes you feel good and you probably won’t ever get tired of? Feel free to list multiple if you can’t settle on one. For me they’re random but I’d probably have to say Pride and Prejudice (2005), Lars and the Real Girl, and She’s the Man. The Fall Guy might be a new one as well. submitted by /u/kitkat-9 [link] [comments]

  • The Collector 3 Gets Official Announcement from Director (Exclusive)
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  • Favorite Movie by State: Indiana
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    Day 3 Colorado winner is The Shining, which deserves all the love. Such a classic! Shout out to Misery, South Park: Bigger, Better, Uncut, and Dumb and a Dumber. All of those are killers in their own right! Day 4 is Indiana, can’t wait to see what comes up here! The movie comment with the most upvotes takes it. Thanks for those of you following along on this, it’s fun! Day 4: Indiana Day 3: Colorado - The Shining Day 2: Louisiana - Interview with the Vampire Day 1: Hawaii - Forgetting Sarah Marshall submitted by /u/CWKitch [link] [comments]

  • What are some other great monologues like Rutger Hauer's "Tears in rain" in Blade Runner?
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    I love this for two main reasons: 1) it's so unexpected since they built his character up to be an antagonist the whole movie. And 2) it's just brutal truth. Everything we do in our lives will eventually be forgotten about. Like tears in rain. Another great one, in my opinion, is Michael Shannon's "I exist only to protect Krypton" monologue in Man of Steel. submitted by /u/Matilda_Mother_67 [link] [comments]

  • Official poster for 'Catnado', out of VOD/DVD starting October 22nd
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  • Quentin Tarantino’s Favorite Movies: 63 Films the Director Wants You to See
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  • Are there any Movies about anticolonialism, where it is depicted in a brutal manner?
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    Films that depict Anti-Colonialism and all its brutalities on both sides, Example: Battle of Algiers, Simba (No not Lion King Simba, the Mau Mau rebellion film), Comanche Moon, and similar movies. Often decolonization and anti colonialist rebellions are heavily romanticized, but in reality they faced brutal reprisal killings and the rebellions themselves weren't merciful. What movies succesfully portray this reality, without being pro-imperialism? Basically, do any movies approach this situation with nuance? If so, which ones? The only ones I've seen so far are Battle of Algiers, Hostiles, the Simba rebellion, and partly Comanche Moon but that one leads too far into pro imperialism territory. submitted by /u/Remarkable-Voice-888 [link] [comments]

  • Official Poster for 'CHRONICLES OF A WANDERING SAINT' - In a tiny rural village in Argentina, Rita Lopez, a pious yet insatiably competitive woman, discovers that staging a miracle could be her ticket to sainthood
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  • Mad God revelation that made me reflect on auteurism
    by /u/DoubleTFan on July 17, 2024 at 7:36 pm

    So I was background listening to the crew commentary for Mad God when the scene comes up where the Shit Men have to pause their work to be yelled at by a mouth on the TV screens (I saw a review call this mouth "The CEO" which the reviewer admitted was their name for it and then asked "but what else do you call this thing?" https://bogleech.com/halloween/hall22-madgod ) Anyway I was surprised to learn from the sound effects editor that the original script called for The CEO to have a deep, animalistic barking voice, but the editor found that boring and experimented until he found that it worked better making literal baby noises. I really thought the baby noises were such a key component of the infantilizing nature of being an oligarch, the condescension of corporate copy, that I couldn't imagine the scene any other way. This was after being told repeatedly what a singular, personal vision Phil Tippett had for the entire project. Made me wonder how much else of the movie was essentially him taking suggestions from his crew over the years. It's kind of a cliche that movies are a collaborative medium, but this is one where one of the keystones of a movie came from a technician whose name I can't even remember offhand. submitted by /u/DoubleTFan [link] [comments]

  • Hey /r/movies! We are the team behind 'Hundreds of Beavers' (including lead actor, DP, producer, & mascot performers!). We made an indie comedy film and self-distributed it across the nation (and overseas!). It's now available on VOD, in select theaters, and coming to blu-ray soon. Ask us anything!
    by /u/HundredsOfBeaversAMA on July 17, 2024 at 6:10 pm

    https://preview.redd.it/l088xkn6d4dd1.png?width=653&format=png&auto=webp&s=12ef73a1a0d71106ec3fcdf2869105a58951adb4 Hey r/movies! We are the team behind Hundreds of Beavers. Here to answer your questions about the movie and talk about anything you want (including beavers) are: Ryland Brickson Cole Tews (Lead Actor/Co-Writer/Producer) Kurt Ravenwood (Producer) Quinn Hester (Cinematographer) Daniel Long (Lead Mascot Performer) Jay Brown (Lead Mascot Performer) Mike Wesolowski (Mascot Performer / Gag Man) We'll all be back to answer questions/discuss with you at 7:00 PM ET so please fire away in the meantime! Some Verification Pictures: Ryland Kurt Jay Quinn, Daniel, Mike (Imagine Beaver Heads) Trailer ------------------------------------------------------------------------------ FOLLOW US ON REDDIT: r/hundredsofbeavers About Hundreds of Beavers: HUNDREDS OF BEAVERS was filmed over the pandemic in the Northwoods of Wisconsin and surrounding areas (including Michigan) by a small crew on a budget of approximately $150,000. After filming, director Mike Cheslik painstakingly executed over 1500 effects shots on his home computer. After a virtual premiere at Fantastic Fest in 2022, the movie gained steam on the festival circuit, picking up a slew of awards including an audience award at Fantasia 2023. With no major offers from distributors, the filmmakers decided to self-release the film, starting with the "Great Lakes Roadshow" in early 2024: a 14-day tour of the Midwest which sold out most screens, including a 700+ audience at the Music Box in Chicago. The show hearkened back to early vaudeville, with Mike Cheslik roasting the audience and the movies star / producer / co-writer Ryland Tews body-slamming beavers. The New York Times picked up the story, and from there Hundreds of Beavers became an unexpected cult hit in cinemas across the country. So far it has played on over 250 screens (we only showed up to 26 of em), and is currently premiering in the UK, Australia, Taiwan, and more. To get the film on VOD, we partnered with FilmHub, a distribution company that allows filmmakers to keep their rights, for transactional video on demand via Amazon and Apple. We also brokered a partnership with Fandor for subscription streaming. We are also proud to announce that Hundreds of Beavers will be the FIRST FILM to be screened at the LIBRARY OF CONGRESS in the same year as its theatrical release. Saturday, July 27th. We will attempt to screen in movie theaters as long as fans want it. Follow along at hundredsofbeavers.com Get theater tickets here: https://www.hundredsofbeavers.com/tickets/ Watch at home here: https://www.hundredsofbeavers.com/watch-at-home/ Coming soon on Bluray: Via Cartuna this Summer, OCN Partner Label (Follow on Socials for Release Info) Socials: Instagram / X Twitter Anyway, please ask away! We will be here live at 7:00 PM ET (a few hours after this post goes up). Alright guys, this was AMAZING beaver boys out hundredsofbeavers.com we make the most money when you buy it digitally on amazon 🙂 but if that's not an option there are other great platforms we're gonna get back to work on the blu-ray byyyyyeeeeeeeee Hundreds of Beavers submitted by /u/HundredsOfBeaversAMA [link] [comments]

  • Stanley Kubrick's The Shining Gets Surprise YouTube Documentary
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    submitted by /u/indiewire [link] [comments]

  • When Austin Powers was made, the 60s were as long ago as the 90s are now.
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    The Austin Powers franchise is famously a spoof on how a character who represents the 1960s Zeitgeist wouldn’t fit in at all in the 1990s. This is, incidentally, also more or less the theme of Smash Mouth’s Walking on the Sun. So imagine that Austin Powers is a spy from 1994 who wakes up in 2024. Where is the culture clash? submitted by /u/TurquoiseOwlMachine [link] [comments]

  • Guillermo del Toro’s Favorite Movies: 56 Films the Director Wants You to See
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    submitted by /u/indiewire [link] [comments]

  • If no more movies were made starting today, do you think there's enough movies in existence to keep you entertained forever?
    by /u/kehakas on July 17, 2024 at 1:55 pm

    I'm a 40-ish movie lover but I haven't dedicated myself to watching a huge library of movies. I'm sure I've seen thousands but there are also huge gaps of classics that would take me years to fill in, plus tons of well-reviewed stuff I've never heard of, lots of foreign cinema, to say nothing of the joy of re-watching movies and discovering new things. I can comfortably say that this past century's worth of movies would keep me busy until I die. submitted by /u/kehakas [link] [comments]

  • New Poster for 'The Crow'
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  • Prominent characters that became less important in the sequels
    by /u/AporiaParadox on July 17, 2024 at 12:51 pm

    Usually when a sequel comes around, you expect to see the same main and supporting characters show up, especially if they're popular. But sometimes the creators can't think of anything for those characters to do in the new plot they've come up with, or there's new characters competing for screentime, or maybe the actors are just too busy. As such, the old characters are there basically out of obligation, but don't actually get to do anything important, or are much less important than they used to be. This is especially a problem in movie series with huge ensemble casts. Sometimes they just show up for a cameo near the end of the movie and only have a few lines of dialogue, and sometimes they show up for a cameo at the start of the movie solely to die. So what movie characters just became irrelevant in sequels? submitted by /u/AporiaParadox [link] [comments]

  • The real problem with Ender’s Game
    by /u/I_aim_to_sneeze on July 17, 2024 at 10:06 am

    I got bored and put it on again, since I haven’t seen it since it first came out. I honestly enjoyed it. It was a pretty faithful adaptation from what I remember, and my only real gripe initially was changing relativistic space travel for standard FTL. Now that I’m watching again, everything is so…rushed. They should’ve made it two movies. The actors don’t even seem to have time to pause to let the dialogue land. This book was a formative book for me. I first read it when I was 13 and I’ve read it, along with everything else in the enderverse, dozens of times since. Orson Scott Card is an asshole, but these are my favorite books. Why did they feel the need to cram this story into 2 hours? submitted by /u/I_aim_to_sneeze [link] [comments]

  • Asa Butterfield Joins Terry Gilliam's ‘Carnival at the End of Days’; Starring Johnny Depp, Adam Driver, Jason Momoa & Jeff Bridges
    by /u/DamnThatsInsaneLol on July 17, 2024 at 8:46 am

    submitted by /u/DamnThatsInsaneLol [link] [comments]

  • What is the Best Film You Watched Last Week? (07/09/24 – 07/16/24)
    by /u/ICumCoffee on July 16, 2024 at 2:11 pm

    The way this works is that you post a review of the Best Film you watched this week. It can be any new or old release that you want to talk about. Here are some rules: 1. Check to see if your favorite film of last week has been posted already. 2. Please post your favorite film of last week. 3. Explain why you enjoyed your film. 4. ALWAYS use SPOILER TAGS: [Instructions] 5. Best Submissions can display their Letterboxd Accounts the following week. 6. Comments that only contain the title of the film will be removed. ​ Last Week's Best Submissions: Film User / [LB/Web*] Adaptation. (2002) ParaSocialGumShoe Landscape Suicide (1987) [Ako Tao] About Time (2013) [Tim Z] The Bitter Tears of Petra von Kant (1972) [Krios] Dogtown And Z-Boys (2021) FantasticName Chinatown (1974) JinFuu In a Violent Nature (2024) Stewmungous \NOTE: These threads are now posted on Tuesday Mornings]) submitted by /u/ICumCoffee [link] [comments]


15 largest entertainment streaming companies in the world – Netflix leads the pack

Post image

80% of movies on Netflix were released after 2015 

80% of movies on Netflix were released after 2015 [OC]
80% of movies on Netflix were released after 2015

Data Sciences – Top 400 Open Datasets – Data Visualization – Data Analytics – Big Data – Data Lakes

What are some good datasets for Data Science and Machine Learning?

Data Sciences – Top 400 Open Datasets – Data Visualization – Data Analytics – Big Data – Data Lakes

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

A dataset is a collection of data, usually presented in tabular form. Good datasets for Data Science and Machine Learning are typically those that are well-structured (easy to read and understand) and large enough to provide enough data points to train a model. The best datasets are often those that are open and freely available – such as the popular Iris dataset. However, there are also many commercial datasets available for purchase. In general, good datasets for Data Science and Machine Learning should be:

2023 AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams
2023 AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams
  • Well-structured
  • Large enough to provide enough data points
  • Open and freely available whenever possible

In this blog, we are going to provide popular open source and public data sets, data visualization, data analytics and data lakes.

Person climbing a staircase. Learn Data Science from Scratch: online program with 21 courses
AWS Data Analytics Specialty Practice Exam 2023
AWS Data Analytics Specialty Practice Exams

Population Distribution of the World by Continent

Population Distribution of the World by Continent
Population Distribution of the World by Continent

 

Fertility rates all over the world are steadily declining

Yes, fertility rates have been declining globally in recent decades. There are several factors that contribute to this trend, including increased access to education and employment opportunities for women, improved access to family planning and birth control, and changes in societal attitudes towards having children. However, the rate of decline varies significantly by country and region, with some countries experiencing more dramatic declines than others.

 

The most Daily Wikipedia Page Views in 2022

How Americans Spend Their Money by Generation

How Americans Spend Their Money by Generation
How Americans Spend Their Money by Generation

 

AWS Data Analytics Specialty Practice Exam 2023
AWS Data Analytics Specialty Practice Exams

Largest countries in the world (by area size)

Largest countries in the world (by area size)
Largest countries in the world (by area size)

The Highest Grossing Movies Of All Time

The Highest Grossing Movies Of All Time

We are still living mostly on gas, oil & coal – Global primary energy consumption by source (TWh)

r/dataisbeautiful - [OC] We are still living mostly on gas, oil & coal - Global primary energy consumption by source (TWh)

Consumption vs production based CO2 emissions by country

Consumption vs production based CO2 emissions by country

Largest banks in the world by total assets

r/dataisbeautiful - [OC] Largest banks in the world by total assets

Inflation rate and nominal interest rate

Inflation rate and nominal interest rate
Inflation Rate 2022 – 2023 Inflation Reduction Act California Inflation Relief – Inflation Relief Checks

Police Killings per Capita v Homicide Rate per Capita for Select OECD Countries

r/dataisbeautiful - Police Killings per Capita v Homicide Rate per Capita for Select OECD Countries [OC]

Instagram Rich List 2022 – Which celebrity earns the most in the world in 2022?

Top human-caused threats to birds in the US

 Top human-caused threats to birds in the US
 Top human-caused threats to birds in the US

Trailblazing Scientists who Shaped our World

Trailblazing Scientists who Shaped our World
Trailblazing Scientists who Shaped our World

Suicide rate among countries with the highest Human Development Index

Percentage of Obesity in 2022

The United States is not the country with the highest obesity rates.
Percentage of Obesity in 2022

Source: https://worldpopulationreview.com/country-rankings/obesity-rates-by-country

Tools: Datawrapper

3 largest global payment networks – measured by total payment volume each year ($B)

3 largest global payment networks - measured by total payment volume each year ($B)

Stocks Vs Bonds 2022

Most expensive football transfers

Most expensive football transfers

11 developing countries with higher life expectancy than the United States

 
r/dataisbeautiful - [OC] 11 developing countries with higher life expectancy than the United States

Healthcare expenditure per capita vs life expectancy years

 
r/dataisbeautiful - [OC] Healthcare expenditure per capita vs life expectancy years

1.2% of adults own 47.8% of world’s wealth

r/dataisbeautiful - [OC] 1.2% of adults own 47.8% of world's wealth

How to Mathematically Win at Rock  Paper  Scissors

r/dataisbeautiful - [OC] How to Mathematically Win at Rock, Paper, Scissors

Researchers from IBM, MIT and Harvard Announced The Release Of DARPA “Common Sense AI” Dataset Along With Two Machine Learning Models At ICML 2021

Building machines that can make decisions based on common sense is no easy feat. A machine must be able to do more than merely find patterns in data; it also needs a way of interpreting the intentions and beliefs behind people’s choices.

At the 2021 International Conference on Machine Learning (ICML), Researchers from IBM, MIT, and Harvard University have come together to release a DARPA “Common Sense AI” dataset for benchmarking AI intuition. They are also releasing two machine learning models that represent different approaches to the problem that relies on testing techniques psychologists use to study infants’ behavior to accelerate the development of AI exhibiting common sense. 

Source – Summary – Paper – IBM Blog


AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence (OpenAI, ChatGPT, Google Gemini, Generative AI, Discriminative AI, xAI, LLMs, GPUs, Machine Learning, NLP, Promp Engineering)

Largest healthcare services companies in the world

r/dataisbeautiful - [OC] Largest healthcare services companies in the world

Performance Of FAANG Stocks In 2022 (Apple, Amazon, Google, Meta, Netflix)

100 million protein structures Dataset by DeepMind

DeepMind creates ‘transformative’ map of human proteins drawn by AI. By the end of the year, DeepMind hopes to release predictions for 100 million protein structures, a dataset that will be “transformative for our understanding of how life works,

Here’s a good article about this topic

Google Dataset Search

Google Dataset Search

Malware traffic dataset

Comprises 1914081 records created from all malware traffic analysis .net PCAP files, from 2013 to 2021. The logs are generated using Suricata and Zeek.

Originator: ali_alwashali

2019 Crime statistics in the USA

Dataset with arrest in US by race and separate states. Download Excel here

Researchers from IBM, MIT and Harvard Announced The Release Of DARPA “Common Sense AI” Dataset Along With Two Machine Learning Models At ICML 2021

Building machines that can make decisions based on common sense is no easy feat. A machine must be able to do more than merely find patterns in data; it also needs a way of interpreting the intentions and beliefs behind people’s choices.

At the 2021 International Conference on Machine Learning (ICML), Researchers from IBM, MIT, and Harvard University have come together to release a DARPA “Common Sense AI” dataset for benchmarking AI intuition. They are also releasing two machine learning models that represent different approaches to the problem that relies on testing techniques psychologists use to study infants’ behavior to accelerate the development of AI exhibiting common sense. 

Source – Summary – Paper – IBM Blog

100 million protein structures Dataset by DeepMind

DeepMind creates ‘transformative’ map of human proteins drawn by AI. By the end of the year, DeepMind hopes to release predictions for 100 million protein structures, a dataset that will be “transformative for our understanding of how life works,

Here’s a good article about this topic

Google Dataset Search

Google Dataset Search

Malware traffic dataset

Comprises 1914081 records created from all malware traffic analysis .net PCAP files, from 2013 to 2021. The logs are generated using Suricata and Zeek.

Originator: ali_alwashali

 CPOST dataset on suicide attacks over four decades

The University of Chicago Project on Security and Threats presents the updated and expanded Database on Suicide Attacks (DSAT), which now links to Uppsala Conflict Data Program data on armed conflicts and includes a new dataset measuring the alliance and rivalry relationships among militant groups with connections to suicide attack groups. Access it here.

Credit Card Dataset – Survey of Consumer Finances (SCF) Combined Extract Data 1989-2019

 You can do a lot of aggregated analysis in a pretty straightforward way there.

Drone imagery with annotations for small object detection and tracking dataset

11 TB dataset of drone imagery with annotations for small object detection and tracking

Download and more information are available here

Dataset License: CDLA-Sharing-1.0

Helper scripts for accessing the dataset: DATASET.md

Dataset Exploration: Colab

NOAA High-Resolution Rapid Refresh (HRRR) Model

The HRRR is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh.

When will computers replace humans?

Ace the Microsoft Azure Fundamentals AZ-900 Certification Exam: Pass the Azure Fundamentals Exam with Ease

r/dataisbeautiful - [OC] When will computers replace humans?

This chart is essentially measuring “How good is a human at a computers’ area of strength”.. meanwhile computers simply can not compete in human areas of strength.

The most popular car brands on Reddit

The most popular car brands on Reddit
The most popular car brands on Reddit

Fruit Efficient-C Analysis

Fruit Efficient-C Analysis
Fruit Efficient-C Analysis

Registry of Open Data on AWS

This registry exists to help people discover and share datasets that are available via AWS resources. Learn more about sharing data on AWS.

See all usage examples for datasets listed in this registry.

See datasets from Digital Earth AfricaFacebook Data for GoodNASA Space Act AgreementNIH STRIDESNOAA Big Data ProgramSpace Telescope Science Institute, and Amazon Sustainability Data Initiative.

Textbook Question Answering (TQA)

1,076 textbook lessons, 26,260 questions, 6229 images

Documentation: allenai.org/data/tqa

Download

Harmonized Cancer Datasets: Genomic Data Commons Data Portal

The GDC Data Portal is a robust data-driven platform that allows cancer
researchers and bioinformaticians to search and download cancer data for analysis.

Genomic Data Commons Data Portal
Genomic Data Commons Data Portal

The Cancer Genome Atlas

The Cancer Genome Atlas (TCGA), a collaboration between the National Cancer Institute (NCI) and National Human Genome Research Institute (NHGRI), aims to generate comprehensive, multi-dimensional maps of the key genomic changes in major types and subtypes of cancer.

If you are looking for an all-in-one solution to help you prepare for the AWS Cloud Practitioner Certification Exam, look no further than this AWS Cloud Practitioner CCP CLF-C02 book

AWS CLI Access (No AWS account required)

aws s3 ls s3://tcga-2-open/ --no-sign-request

Therapeutically Applicable Research to Generate Effective Treatments (TARGET)

The Therapeutically Applicable Research to Generate Effective Treatments (TARGET) program applies a comprehensive genomic approach to determine molecular changes that drive childhood cancers. The goal of the program is to use data to guide the development of effective, less toxic therapies. TARGET is organized into a collaborative network of disease-specific project teams.  TARGET projects provide comprehensive molecular characterization to determine the genetic changes that drive the initiation and progression of childhood cancers. The dataset contains open Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, miRNA-Seq miRNA Expression Quantification data from Genomic Data Commons (GDC), and open data from GDC Legacy Archive. Access it here.

Genome Aggregation Database (gnomAD)

The Genome Aggregation Database (gnomAD) is a resource developed by an international coalition of investigators that aggregates and harmonizes both exome and genome data from a wide range of large-scale human sequencing projects. The summary data provided here are released for the benefit of the wider scientific community without restriction on use. Downloads

SQuAD (Stanford Question Answering Dataset)

Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. Access it here.

PubMed Diabetes Dataset

The Pubmed Diabetes dataset consists of 19717 scientific publications from PubMed database pertaining to diabetes classified into one of three classes. The citation network consists of 44338 links. Each publication in the dataset is described by a TF/IDF weighted word vector from a dictionary which consists of 500 unique words. The README file in the dataset provides more details.

Download Link

Drug-Target Interaction Dataset

This dataset contains interactions between drugs and targets collected from DrugBank, KEGG Drug, DCDB, and Matador. It was originally collected by Perlman et al. It contains 315 drugs, 250 targets, 1,306 drug-target interactions, 5 types of drug-drug similarities, and 3 types of target-target similarities. Drug-drug similarities include Chemical-based, Ligand-based, Expression-based, Side-effect-based, and Annotation-based similarities. Target-target similarities include Sequence-based, Protein-protein interaction network-based, and Gene Ontology-based similarities. The original task on the dataset is to predict new interactions between drugs and targets based on different types of similarities in the network. Download link

Pharmacogenomics Datasets

PharmGKB data and knowledge is available as downloads. It is often critical to check with their curators at feedback@pharmgkb.org before embarking on a large project using these data, to be sure that the files and data they make available are being interpreted correctly. PharmGKB generally does NOT need to be a co-author on such analyses; They just want to make sure that there is a correct understanding of our data before lots of resources are spent.

Pancreatic Cancer Organoid Profiling

The dataset contains open RNA-Seq Gene Expression Quantification data and controlled WGS/WXS/RNA-Seq Aligned Reads, WXS Annotated Somatic Mutation, WXS Raw Somatic Mutation, and RNA-Seq Splice Junction Quantification. Documentation

AWS CLI Access (No AWS account required)

aws s3 ls s3://gdc-organoid-pancreatic-phs001611-2-open/ --no-sign-request

Africa Soil Information Service (AfSIS) Soil Chemistry

This dataset contains soil infrared spectral data and paired soil property reference measurements for georeferenced soil samples that were collected through the Africa Soil Information Service (AfSIS) project, which lasted from 2009 through 2018. Documentation

AWS CLI Access (No AWS account required)

aws s3 ls s3://afsis/ --no-sign-request

Dataset for Affective States in E-Environments

DAiSEE is the first multi-label video classification dataset comprising of 9068 video snippets captured from 112 users for recognizing the user affective states of boredom, confusion, engagement, and frustration “in the wild”. The dataset has four levels of labels namely – very low, low, high, and very high for each of the affective states, which are crowd annotated and correlated with a gold standard annotation created using a team of expert psychologists. Download it here.

NatureServe Explorer Dataset

NatureServe Explorer provides conservation status, taxonomy, distribution, and life history information for more than 95,000 plants and animals in the United States and Canada, and more than 10,000 vegetation communities and ecological systems in the Western Hemisphere.

The data available through NatureServe Explorer represents data managed in the NatureServe Central Databases. These databases are dynamic, being continually enhanced and refined through the input of hundreds of natural heritage program scientists and other collaborators. NatureServe Explorer is updated from these central databases to reflect information from new field surveys, the latest taxonomic treatments and other scientific publications, and new conservation status assessments. Explore Data here

Flight Records in the US

Airline On-Time Performance and Causes of Flight Delays – On_Time Data.

This database contains scheduled and actual departure and arrival times, reason of delay. reported by certified U.S. air carriers that account for at least one percent of domestic scheduled passenger revenues. The data is collected by the Office of Airline Information, Bureau of Transportation Statistics (BTS).

FlightAware.com has data but you need to pay for a full dataset.

The anyflights package supplies a set of functions to generate air travel data (and data packages!) similar to nycflights13. With a user-defined year and airport, the anyflights function will grab data on:

  • flights: all flights that departed a given airport in a given year and month
  • weather: hourly meterological data for a given airport in a given year and month
  • airports: airport names, FAA codes, and locations
  • airlines: translation between two letter carrier (airline) codes and names
  • planes: construction information about each plane found in flights

Airline On-Time Statistics and Delay Causes

The U.S. Department of Transportation’s (DOT) Bureau of Transportation Statistics (BTS) tracks the on-time performance of domestic flights operated by large air carriers. Summary information on the number of on-time, delayed, canceled and diverted flights appears in DOT’s monthly Air Travel Consumer Report, published about 30 days after the month’s end, as well as in summary tables posted on this website. BTS began collecting details on the causes of flight delays in June 2003. Summary statistics and raw data are made available to the public at the time the Air Travel Consumer Report is released. Access it here

Worldwide flight data

Open flights: As of January 2017, the OpenFlights Airports Database contains over 10,000 airports, train stations and ferry terminals spanning the globe

Download: airports.dat (Airports only, high quality)

Download: airports-extended.dat (Airports, train stations and ferry terminals, including user contributions)

Bureau of Transportation:

Flightera.net seems to have a lot of good data for free. It has in-depth data on flights and doesn’t seem limited by date. I can’t speak on the validity of the data though.

flightradar24.com has lots of data, also historically, they might be willing to help you get it in a nice format.

2019 Crime statistics in the USA

Dataset with arrest in US by race and separate states. Download Excel here

Stack Exchange
Infographic: Where People Are Most Willing to Donate Blood  | Statista You will find more infographics at Statista

Researchers from IBM, MIT and Harvard Announced The Release Of DARPA “Common Sense AI” Dataset Along With Two Machine Learning Models At ICML 2021

Building machines that can make decisions based on common sense is no easy feat. A machine must be able to do more than merely find patterns in data; it also needs a way of interpreting the intentions and beliefs behind people’s choices.

At the 2021 International Conference on Machine Learning (ICML), Researchers from IBM, MIT, and Harvard University have come together to release a DARPA “Common Sense AI” dataset for benchmarking AI intuition. They are also releasing two machine learning models that represent different approaches to the problem that relies on testing techniques psychologists use to study infants’ behavior to accelerate the development of AI exhibiting common sense. 

Source – Summary – Paper – IBM Blog

100 million protein structures Dataset by DeepMind

DeepMind creates ‘transformative’ map of human proteins drawn by AI. By the end of the year, DeepMind hopes to release predictions for 100 million protein structures, a dataset that will be “transformative for our understanding of how life works,

Here’s a good article about this topic

Google Dataset Search

Google Dataset Search

Malware traffic dataset

Comprises 1914081 records created from all malware traffic analysis .net PCAP files, from 2013 to 2021. The logs are generated using Suricata and Zeek.

Originator: ali_alwashali

Author: Here

 CPOST dataset on suicide attacks over four decades

The University of Chicago Project on Security and Threats presents the updated and expanded Database on Suicide Attacks (DSAT), which now links to Uppsala Conflict Data Program data on armed conflicts and includes a new dataset measuring the alliance and rivalry relationships among militant groups with connections to suicide attack groups. Access it here.

Credit Card Dataset – Survey of Consumer Finances (SCF) Combined Extract Data 1989-2019

 You can do a lot of aggregated analysis in a pretty straightforward way there.

Drone imagery with annotations for small object detection and tracking dataset

11 TB dataset of drone imagery with annotations for small object detection and tracking

Download and more information are available here

Dataset License: CDLA-Sharing-1.0

Helper scripts for accessing the dataset: DATASET.md

Dataset Exploration: Colab

NOAA High-Resolution Rapid Refresh (HRRR) Model

The HRRR is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh.

Registry of Open Data on AWS

This registry exists to help people discover and share datasets that are available via AWS resources. Learn more about sharing data on AWS.

See all usage examples for datasets listed in this registry.

See datasets from Digital Earth AfricaFacebook Data for GoodNASA Space Act AgreementNIH STRIDESNOAA Big Data ProgramSpace Telescope Science Institute, and Amazon Sustainability Data Initiative.

Textbook Question Answering (TQA)

1,076 textbook lessons, 26,260 questions, 6229 images

Documentation: allenai.org/data/tqa

Download

Harmonized Cancer Datasets: Genomic Data Commons Data Portal

The GDC Data Portal is a robust data-driven platform that allows cancer
researchers and bioinformaticians to search and download cancer data for analysis.

Genomic Data Commons Data Portal
Genomic Data Commons Data Portal

The Cancer Genome Atlas

The Cancer Genome Atlas (TCGA), a collaboration between the National Cancer Institute (NCI) and National Human Genome Research Institute (NHGRI), aims to generate comprehensive, multi-dimensional maps of the key genomic changes in major types and subtypes of cancer.

AWS CLI Access (No AWS account required)

aws s3 ls s3://tcga-2-open/ --no-sign-request

Therapeutically Applicable Research to Generate Effective Treatments (TARGET)

The Therapeutically Applicable Research to Generate Effective Treatments (TARGET) program applies a comprehensive genomic approach to determine molecular changes that drive childhood cancers. The goal of the program is to use data to guide the development of effective, less toxic therapies. TARGET is organized into a collaborative network of disease-specific project teams.  TARGET projects provide comprehensive molecular characterization to determine the genetic changes that drive the initiation and progression of childhood cancers. The dataset contains open Clinical Supplement, Biospecimen Supplement, RNA-Seq Gene Expression Quantification, miRNA-Seq Isoform Expression Quantification, miRNA-Seq miRNA Expression Quantification data from Genomic Data Commons (GDC), and open data from GDC Legacy Archive. Access it here.

Genome Aggregation Database (gnomAD)

The Genome Aggregation Database (gnomAD) is a resource developed by an international coalition of investigators that aggregates and harmonizes both exome and genome data from a wide range of large-scale human sequencing projects. The summary data provided here are released for the benefit of the wider scientific community without restriction on use. Downloads

SQuAD (Stanford Question Answering Dataset)

Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable. Access it here.

PubMed Diabetes Dataset

The Pubmed Diabetes dataset consists of 19717 scientific publications from PubMed database pertaining to diabetes classified into one of three classes. The citation network consists of 44338 links. Each publication in the dataset is described by a TF/IDF weighted word vector from a dictionary which consists of 500 unique words. The README file in the dataset provides more details.

Download Link

Drug-Target Interaction Dataset

This dataset contains interactions between drugs and targets collected from DrugBank, KEGG Drug, DCDB, and Matador. It was originally collected by Perlman et al. It contains 315 drugs, 250 targets, 1,306 drug-target interactions, 5 types of drug-drug similarities, and 3 types of target-target similarities. Drug-drug similarities include Chemical-based, Ligand-based, Expression-based, Side-effect-based, and Annotation-based similarities. Target-target similarities include Sequence-based, Protein-protein interaction network-based, and Gene Ontology-based similarities. The original task on the dataset is to predict new interactions between drugs and targets based on different types of similarities in the network. Download link

Pharmacogenomics Datasets

PharmGKB data and knowledge is available as downloads. It is often critical to check with their curators at feedback@pharmgkb.org before embarking on a large project using these data, to be sure that the files and data they make available are being interpreted correctly. PharmGKB generally does NOT need to be a co-author on such analyses; They just want to make sure that there is a correct understanding of our data before lots of resources are spent.

Pancreatic Cancer Organoid Profiling

The dataset contains open RNA-Seq Gene Expression Quantification data and controlled WGS/WXS/RNA-Seq Aligned Reads, WXS Annotated Somatic Mutation, WXS Raw Somatic Mutation, and RNA-Seq Splice Junction Quantification. Documentation

AWS CLI Access (No AWS account required)

aws s3 ls s3://gdc-organoid-pancreatic-phs001611-2-open/ --no-sign-request

Africa Soil Information Service (AfSIS) Soil Chemistry

This dataset contains soil infrared spectral data and paired soil property reference measurements for georeferenced soil samples that were collected through the Africa Soil Information Service (AfSIS) project, which lasted from 2009 through 2018. Documentation

AWS CLI Access (No AWS account required)

aws s3 ls s3://afsis/ --no-sign-request

Dataset for Affective States in E-Environments

DAiSEE is the first multi-label video classification dataset comprising of 9068 video snippets captured from 112 users for recognizing the user affective states of boredom, confusion, engagement, and frustration “in the wild”. The dataset has four levels of labels namely – very low, low, high, and very high for each of the affective states, which are crowd annotated and correlated with a gold standard annotation created using a team of expert psychologists. Download it here.

NatureServe Explorer Dataset

NatureServe Explorer provides conservation status, taxonomy, distribution, and life history information for more than 95,000 plants and animals in the United States and Canada, and more than 10,000 vegetation communities and ecological systems in the Western Hemisphere.

The data available through NatureServe Explorer represents data managed in the NatureServe Central Databases. These databases are dynamic, being continually enhanced and refined through the input of hundreds of natural heritage program scientists and other collaborators. NatureServe Explorer is updated from these central databases to reflect information from new field surveys, the latest taxonomic treatments and other scientific publications, and new conservation status assessments. Explore Data here

Flight Records in the US

Airline On-Time Performance and Causes of Flight Delays – On_Time Data.

This database contains scheduled and actual departure and arrival times, reason of delay. reported by certified U.S. air carriers that account for at least one percent of domestic scheduled passenger revenues. The data is collected by the Office of Airline Information, Bureau of Transportation Statistics (BTS).

FlightAware.com has data but you need to pay for a full dataset.

The anyflights package supplies a set of functions to generate air travel data (and data packages!) similar to nycflights13. With a user-defined year and airport, the anyflights function will grab data on:

  • flights: all flights that departed a given airport in a given year and month
  • weather: hourly meterological data for a given airport in a given year and month
  • airports: airport names, FAA codes, and locations
  • airlines: translation between two letter carrier (airline) codes and names
  • planes: construction information about each plane found in flights

Airline On-Time Statistics and Delay Causes

The U.S. Department of Transportation’s (DOT) Bureau of Transportation Statistics (BTS) tracks the on-time performance of domestic flights operated by large air carriers. Summary information on the number of on-time, delayed, canceled and diverted flights appears in DOT’s monthly Air Travel Consumer Report, published about 30 days after the month’s end, as well as in summary tables posted on this website. BTS began collecting details on the causes of flight delays in June 2003. Summary statistics and raw data are made available to the public at the time the Air Travel Consumer Report is released. Access it here

Worldwide flight data

Open flights: As of January 2017, the OpenFlights Airports Database contains over 10,000 airports, train stations and ferry terminals spanning the globe

Download: airports.dat (Airports only, high quality)

Download: airports-extended.dat (Airports, train stations and ferry terminals, including user contributions)

Bureau of Transportation:

Flightera.net seems to have a lot of good data for free. It has in-depth data on flights and doesn’t seem limited by date. I can’t speak on the validity of the data though.

flightradar24.com has lots of data, also historically, they might be willing to help you get it in a nice format.

2019 Crime statistics in the USA

Dataset with arrest in US by race and separate states. Download Excel here

The largest repository of standardized and structured statistical data

statisticaldatasets.data-planet.com/

Chess datasets

3.5 Million Chess Games

ML Dataset to practice methods of regression

Center for Machine Learning and Intelligent Systems

585 Data Sets

 

ManyTypes4Py: A benchmark Python Dataset for Machine Learning-Based Type Inference

  • The dataset is gathered on Sep. 17th 2020 from GitHub.
  • It has more than 5.2K Python repositories and 4.2M type annotations.
  • Use it to train  ML-based type inference model for Python
  • Access it here

Quadrature magnetoresistance in overdoped cuprates

Measurements of the normal (i.e. non-superconducting) state magnetoresistance (change in resistance with magnetic field) in several single crystalline samples of copper-oxide high-temperature superconductors. The measurements were performed predominantly at the High Field Magnet Laboratory (HFML) in Nijmegen, the Netherlands, and the Pulsed Magnetic Field Facility (LNCMI-T) in Toulouse, France. Complete Zip Download

The UMA-SAR Dataset: Multimodal data collection from a ground vehicle during outdoor disaster response training exercises

Collection of multimodal raw data captured from a manned all-terrain vehicle in the course of two realistic outdoor search and rescue (SAR) exercises for actual emergency responders conducted in Málaga (Spain) in 2018 and 2019: the UMA-SAR dataset. Full Dataset.

Child Mortality from Malaria

Child mortality numbers caused by malaria by country

Number of deaths of infants, neonatal, and children up to 4 years old caused by malaria by country from 2000 to 2015. Originator: World Health Organization

Child-Mortality-Numbers-by-Malaria-2015

Quora Question Pairs at Data.world

The dataset  will give anyone the opportunity to train and test models of semantic equivalence, based on actual Quora data. 400,000 lines of potential question duplicate pairs. Each line contains IDs for each question in the pair, the full text for each question, and a binary value that indicates whether the line truly contains a duplicate pair. Access it here.

MIMIC Critical Care Database

MIMIC is an openly available dataset developed by the MIT Lab for Computational Physiology, comprising deidentified health data associated with ~60,000 intensive care unit admissions. It includes demographics, vital signs, laboratory tests, medications, and more. Access it here.

Data.Gov: The home of the U.S. Government’s open data

Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations, and more. Search over 280000 Datasets.

Tidy Tuesday Dataset

TidyTuesday is built around open datasets that are found in the “wild” or submitted as Issues on our GitHub.

US Census Bureau: QuickFacts Dataset

QuickFacts provides statistics for all states and counties, and for cities and towns with a population of 5,000 or more.

Classical Abstract Art Dataset

Art that does not attempt to represent an accurate depiction of a visual reality but instead use shapes, colours, forms and gestural marks to achieve its effect

5000+ classical abstract art here, real artists with annotation. You can download them in very high resolution,  however you would have to crawl them first  with this scraper.

Interactive map of indigenous people around the world

Native-Land.ca is a website run by the nonprofit organization Native Land Digital. Access it here.

Data Visualization: A Wordcloud for each of the Six Largest Religions and their Religious Texts (Judaism, Christianity, and Islam; Hinduism, Buddhism, and Sikhism)

Highest altitude humans have been each year since 1961

Worldwide prevalence of drug use

Data Sciences - Top 400 Open Datasets - Data Visualization - Data Analytics - Big Data - Data Lakes

From the author:

I took the data from IHME’s Global Burden of Disease 2019 study (2019 all-ages prevalence of drug use disorders among both men and women for all countries and territories) and plotted it using R.

Also, what is going on in the US exactly? 3.3% of the population there is addicted and it’s the worst rate in the world.

World Population and Energy Consumption: History and Projections

Data Sciences - Top 400 Open Datasets - Data Visualization - Data Analytics - Big Data - Data Lakes

From the author:

I am working on a presentation and I found a similar graph but couldn’t source it, so I found the data and remade this:

Data:

Population 2010-2019: US Census Bureau via Alexa

Population 2020-2050: World Population Prospects – Population Division – United Nations

File POP/1-1: Total population (both sexes combined) by region, subregion and country, annually for 1950-2100 (thousands)Medium fertility variant, 2020 – 2100

World Energy Consumption: Annual Energy Outlook 2021

Number of Operational Nuclear Reactors by Region over Time

Data from Power Reactor Information System maintained by IAEA.

Countries with reactors in each region:

ASIA-E: China, Japan, South Korea, Taiwan

ASIA-S: India, Pakistan, Bangladesh (under construction)

EUROPE-E & ASIA-CTRL: Armenia, Bulgaria, Belarus, Czechia, Hungary, Kazakhstan, Lithuania, Romania, Russia, Slovenia, Slovakia, Ukraine, Turkey (under construction)

EUROPE-N, S & W: Belgium, Switzerland, Germany, Spain, Finland, France, UK, Italy, Netherlands, Sweden

LATIN AMERICA: Argentina, Brazil, Mexico

MIDDLE EAST: UAE, Iran

SUB-SAHARAN AFRICA: South Africa

USA & CANADA: Canada, USA (obviously)

Made with MATLAB

Edit: If it wasn’t clear, these are nuclear power stations only

source: r/dataisbeautiful

data.ohio.gov/wps/

National Household Travel Survey (US)

Conducted by the Federal Highway Administration (FHWA), the NHTS is the authoritative source on the travel behavior of the American public. It is the only source of national data that allows one to analyze trends in personal and household travel. It includes daily non-commercial travel by all modes, including characteristics of the people traveling, their household, and their vehicles. Access it here.

National Travel Survey (UK)

Statistics and data about the National Travel Survey, based on a household survey to monitor trends in personal travel.

The survey collects information on how, why, when and where people travel as well as factors affecting travel (e.g. car availability and driving license holding).

National Travel Survey data tables UK
National Travel Survey data tables UK

National Travel Survey (NTS)[Canada]

Monthly Railway Carloadings: Interactive Dashboard
Monthly Railway Carloadings: Interactive Dashboard

ENTUR: NeTEx or GTFS datasets [Norway]

NeTEx is the official format for public transport data in Norway and is the most complete in terms of available data. GTFS is a downstream format with only a limited subset of the total data, but we generate datasets for it anyway since GTFS can be easier to use and has a wider distribution among international public transport solutions. GTFS sets come in “extended” and “basic” versions. Access here.

The Swedish National Forest Inventory

A subset of the field data collected on temporary NFI plots can be downloaded in Excel format from this web site. The file includes a Read_me sheet and a sheet with field data from temporary plots on forest land1 collected from 2007 to 2019. Note that plots located on boundaries (for example boundaries between forest stands, or different land use classes) are not included in the dataset. The dataset is primarily intended to be used as reference data and validation data in remote sensing applications. It cannot be used to derive estimates of totals or mean values for a geographic area of any size. Download the dataset here

Large data sets from finance and economics applicable in related fields studying the human condition

World Bank Data: Countries Data | Topics Data | Indicators Data | Catalog

US Federal Statistics

Boards of Governors of the Federal Reserve: Data Download Program

CIA: The world Factbook provides basic intelligence on the history, people, government, economy, energy, geography, environment, communications, transportation, military, terrorism, and transnational issues for 266 world entities.

Human Development Report: United Nations Development Programme – Public Data Explorer

Consumer Price Index: The Consumer Price Index (CPI) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. Indexes are available for the U.S. and various geographic areas. Average price data for select utility, automotive fuel, and food items are also available.

Gapminder.org: Unveiling the beauty of statistics for a fact based world view Watch everyday life in hundreds of homes on all income levels across the world, to counteract the media’s skewed selection of images of other places.

Our world in Data: International Trade

Research and data to make progress against the world’s largest problems: 3139 charts across 297 topics, All free: open access and open source.

International Historical Statistics (by Brian Mitchell)

 
International Historical Statistics is a compendium of national and international socio-economic data from 1750 to 2010. Data are available in both Excel and PDF tabular formats. IHS is structured in three broad geographical divisions and ten themes: Africa / Asia / Oceania; The Americas and Europe. The database is structured in ten categories: Population and vital statistics; Labour force; Agriculture; Industry; External trade; Transport and communications; Finance; Commodity prices; Education and National accounts. Access here

World Input-Output Database

World Input-Output Tables and underlying data. World Input-Output Tables and underlying data, covering 43 countries, and a model for the rest of the world for the period 2000-2014. Data for 56 sectors are classified according to the International Standard Industrial Classification revision 4 (ISIC Rev. 4).

  • Data: Real and PPP-adjusted GDP in US millions of dollars, national accounts (household consumption, investment, government consumption, exports and imports), exchange rates and population figures.
  • Geographical coverage: Countries around the world
  • Time span: from 1950-2011 (version 8.1)
  • Available at: Online

Correlates of War Bilateral Trade

COW seeks to facilitate the collection, dissemination, and use of accurate and reliable quantitative data in international relations. Key principles of the project include a commitment to standard scientific principles of replication, data reliability, documentation, review, and the transparency of data collection procedures

  • Data: Total national trade and bilateral trade flows between states. Total imports and exports of each country in current US millions of dollars and bilateral flows in current US millions of dollars
  • Geographical coverage: Single countries around the world
  • Time span: from 1870-2009
  • Available at: Online here
  • This data set is hosted by Katherine Barbieri, University of South Carolina, and Omar Keshk, Ohio State University.

World Bank Open Data – World Development Indicators

Free and open access to global development data. Access it here.

World Trade Organization – WTO

The WTO provides quantitative information in relation to economic and trade policy issues. Its data-bases and publications provide access to data on trade flows, tariffs, non-tariff measures (NTMs) and trade in value added.

  • Data: Many series on tariffs and trade flows
  • Geographical coverage: Countries around the world
  • Time span: Since 1948 for some series
  • Available at: Online here
WTO - World Trade Organization
WTO – World Trade Organization

SMOKA Science Archive

The Subaru-Mitaka-Okayama-Kiso Archive, holds about 15 TB of astronomical data from facilities run by the National Astronomical Observatory of Japan. All data becomes publicly available after an embargo period of 12-24 months (to give the original observers time to publish their papers).

Graph Datasets

Multi-Domain Sentiment Dataset

The Multi-Domain Sentiment Dataset contains product reviews taken from Amazon.com from many product types (domains). Some domains (books and dvds) have hundreds of thousands of reviews. Others (musical instruments) have only a few hundred. Reviews contain star ratings (1 to 5 stars) that can be converted into binary labels if needed. Access it here.

A Global Database of Society

Supported by Google Jigsaw, the GDELT Project monitors the world’s broadcast, print, and web news from nearly every corner of every country in over 100 languages and identifies the people, locations, organizations, themes, sources, emotions, counts, quotes, images and events driving our global society every second of every day, creating a free open platform for computing on the entire world.

The Yahoo News Feed: Ratings and Classification Data

Dataset is 1.5 TB compressed, 13.5 TB uncompressed

Yahoo! Music User Ratings of Musical Artists, version 1.0 (423 MB)

This dataset represents a snapshot of the Yahoo! Music community’s preferences for various musical artists. The dataset contains over ten million ratings of musical artists given by Yahoo! Music users over the course of a one month period sometime prior to March 2004. Users are represented as meaningless anonymous numbers so that no identifying information is revealed. The dataset may be used by researchers to validate recommender systems or collaborative filtering algorithms. The dataset may serve as a testbed for matrix and graph algorithms including PCA and clustering algorithms. The size of this dataset is 423 MB.
 

Yahoo! Movies User Ratings and Descriptive Content Information, v.1.0 (23 MB)

This dataset contains a small sample of the Yahoo! Movies community’s preferences for various movies, rated on a scale from A+ to F. Users are represented as meaningless anonymous numbers so that no identifying information is revealed. The dataset also contains a large amount of descriptive information about many movies released prior to November 2003, including cast, crew, synopsis, genre, average ratings, awards, etc. The dataset may be used by researchers to validate recommender systems or collaborative filtering algorithms, including hybrid content and collaborative filtering algorithms. The dataset may serve as a testbed for relational learning and data mining algorithms as well as matrix and graph algorithms including PCA and clustering algorithms. The size of this dataset is 23 MB.
 

Yahoo News Video dataset, version 1.0 (645MB)

The dataset is a collection of 964 hours (22K videos) of news broadcast videos that appeared on Yahoo news website’s properties, e.g., World News, US News, Sports, Finance, and a mobile application during August 2017. The videos were either part of an article or displayed standalone in a news property. Many of the videos served in this platform lack important metadata, such as an exhaustive list of topics associated with the video. We label each of the videos in the dataset using a collection of 336 tags based on a news taxonomy designed by in-house editors. In the taxonomy, the closer the tag is to the root, the more generic (topically) it is.
etc…

Other Datasets

More than 1 TB

  • The 1000 Genomes project makes 260 TB of human genome data available
  • The Internet Archive is making an 80 TB web crawl available for research 
  • The TREC conference made the ClueWeb09 [3] dataset available a few years back. You’ll have to sign an agreement and pay a nontrivial fee (up to $610) to cover the sneakernet data transfer. The data is about 5 TB compressed.
  • ClueWeb12  is now available, as are the Freebase annotations, FACC1 
  • CNetS at Indiana University makes a 2.5 TB click dataset available 
  • ICWSM made a large corpus of blog posts available for their 2011 conference. You’ll have to register (an actual form, not an online form), but it’s free. It’s about 2.1 TB compressed. The dataset consists of over 386 million blog posts, news articles, classifieds, forum posts and social media content between January 13th and February 14th. It spans events such as the Tunisian revolution and the Egyptian protests (see http://en.wikipedia.org/wiki/January_2011 for a more detailed list of events spanning the dataset’s time period). Access it here
  • The Yahoo News Feed dataset is 1.5 TB compressed, 13.5 TB uncompressed
  • The Proteome Commons makes several large datasets available. The largest, the Personal Genome Project , is 1.1 TB in size. There are several others over 100 GB in size.

More than 1 GB

Power and Energy Consumption Open Datasets

These data are intended to be used by researchers and other professionals working in power and energy related areas and requiring data for design, development, test, and validation purposes. These data should not be used for commercial purposes.

The Million Playlist Dataset (Spotify)

A dataset and open-ended challenge for music recommendation research ( RecSys Challenge 2018). Sampled from the over 4 billion public playlists on Spotify, this dataset of 1 million playlists consist of over 2 million unique tracks by nearly 300,000 artists, and represents the largest public dataset of music playlists in the world. Access it here

How much each of 20 most popular artists earns from Spotify.

How much each of 20 most popular artists earns from Spotify.
How much each of 20 most popular artists earns from Spotify.

Regression Analysis Cheat Sheet

Hotel Reviews Dataset from Yelp

20k+ Hotel Reviews from Yelp for 5 Star Hotels in Las Vegas.

This dataset can be used for the following applications and more:

Analyzing trends,  Sentiment Analysis / Opinion Mining, Sentiment Analysis / Opinion Mining, Competitor Analysis. Access it here.

A truncated version with 500 reviews is also available on Kaggle here

Motorcycle Crash data

1- Texas: Perform specific queries and analysis using Texas traffic crash data.

2- BTS: Motorcycle Rider Safety Data

3- National Transportation Safety Board: US Transportation Fatalities in 2019

4- Fatal single vehicle motorcycle crashes

5- Motorcycle crash causes and outcomes : pilot study

6- Motorcycle Crash Causation Study: Final Report

Download a collection of news articles relating to natural disasters over an eight-month period. Access it here.

World Population Data by Country and Age Group

1- WorldoMeter: Countries in the world by population (2021)

2- Worldometer: Current World Population Live

Top 10 richest billionaires from 1987-2021

Top 10 Richest People in the world

Source: Here

World’s Top 80 Wealthiest People by Country of Origin as of November 2021

Source: Here

From the author:

Needless to say, the United States absolutely dominates this list more than any other country. 9 of the top 10 are Americans, you’d have to combine the next 5 countries after the US to match their output of 33 among the top 80, and you’d have to combined every other country not named China on this graph to equal the USA.

To break things down based on region:

– The Americas has 34 individuals on this list with USA (33) and Mexico (1)

– Asia-Pacific has 28 individuals on this list with China (14), India (5), Hong Kong (4), Japan (3), and Australia (2)

– Europe has 18 individuals on this list with France (5), Russia (5), Germany (3), Italy (2), UK (1), Ireland (1), and Spain (1)

How Americans Spend Money on Halloween

How Americans Spend Money on Halloween

Source: here

How the Duration of an Average World Series Baseball Game Has Changed Over 118 Years

r/dataisbeautiful - [OC] How the Duration of an Average World Series Baseball Game Has Changed Over 118 Years

Source: Here

Investment-Related Dataset with both Qualitative and Quantitative Variables

1- Numer.ai:  Anonymized and feature normalized financial data which is interesting for machine learning applications. Download here

2- Snowflake Data Marketplace: Snowflake Data Marketplace gives data scientists, business intelligence and analytics professionals, and everyone who desires data-driven decision-making, access to more than 375 live and ready-to-query data sets from more than 125 third-party data providers and data service providers

3- Quandl: The premier source for financial, economic and alternative datasets, serving investment professionals.

National Obesity Monitor

The National Health and Nutrition Examination Survey (NHANES) is conducted every two years by the National Center for Health Statistics and funded by the Centers for Disease Control and Prevention. The survey measures obesity rates among people ages 2 and older. Find the latest national data and trends over time, including by age group, sex, and race. Data are available through 2017-2018, with the exception of obesity rates for children by race, which are available through 2015-2016. Access here

State of Childhood Obesity
State of Childhood Obesity

The World’s Nations by Fertility Rate 2021

The world nation 's fertility rates
The world’s nations fertility rates

Total number of deaths due to Covid19 vis-à-vis Population in million

Total number of deaths due to Covid19 vis-à-vis Population in million
Total number of deaths due to Covid19 vis-à-vis Population in million

 Unlike its successor (COVID), SARS only heavily impacted 5 countries.

r/dataisbeautiful - [OC] Unlike its successor (COVID), SARS only heavily impacted 5 countries.

USA Cigarettes Sold v. Lung Cancer Death Rates

r/dataisbeautiful - USA Cigarettes Sold v. Lung Cancer Death Rates [OC]

Google searches for different emotions during each hour of the day and night

Google searches for different emotions during each hour of the day and night
Google searches for different emotions during each hour of the day and night

Where do the world’s CO2 emissions come from? This map shows emissions during 2019. Darker areas indicate areas with higher emissions

Where do the world's CO2 emissions come from? This map shows emissions during 2019. Darker areas indicate areas with higher emissions
Where do the world’s CO2 emissions come from? This map shows emissions during 2019. Darker areas indicate areas with higher emissions

Global Linguistic Diversity

Global Linguistic Diversity
Global Linguistic Diversity

Where in the world are the densest forests? Darker areas represent higher density of trees.

Where in the world are the densest forests? Darker areas represent higher density of trees.
Where in the world are the densest forests? Darker areas represent higher density of trees.

Likes and Dislikes per movie genre

Like and Dislike per movie genre
Like and Dislike per movie genre

Global Historical Climatology Network-Monthly (GHCN-M) temperature dataset

NCEI first developed the Global Historical Climatology Network-Monthly (GHCN-M) temperature dataset in the early 1990s. Subsequent iterations include version 2 in 1997, version 3 in May 2011, and version 4 in October 2018.

Are there any places where the climate is recently getting colder?
Are there any places where the climate is recently getting colder?

Electric power consumption (kWh per capita)

The World’s Most Eco-Friendly Countries

Alternate Source from Wikipedia : List of countries by carbon dioxide emissions per capita

List of countries by carbon dioxide emissions per capita
List of countries by carbon dioxide emissions per capita
Worldwide CO2 Emission
Worldwide CO2 Emission

Alcohol-Impaired Driving Deaths by State & County [US]

Alcohol Impaired Driving by State
Alcohol Impaired Driving by State

Alcohol Impaired driving by counties
Alcohol Impaired driving by county

% change in life expectancy from 2020 to 2021 across the globe

% change in life expectancy from 2020 to 2021 across the globe
% change in life expectancy from 2020 to 2021 across the globe

This is how life expectancy is calculated.

How Many Years Till the World’s Reserves Run Out of Oil?

How Many Years Till the World's Reserves Run Out of Oil?
How Many Years Till the World’s Reserves Run Out of Oil?

Data Source Here: Note that these values can change with time based on the discovery of new reserves, and changes in annual production.

Which energy source has the least disadvantages?

How many People Did Nuclear Energy Kill?

Here’s a paper on the wind fatalities

ipcc.ch/site/assets/

Human development index (HDI) by world subdivisions

Human development index (HDI) by world subdivisions
Human development index (HDI) by world subdivisions

The Human Development Index (HDI) is a statistic composite index of life expectancy, education (mean years of schooling completed and expected years of schooling upon entering the education system), and per capita income indicators, which are used to rank countries into four tiers of human development.

Data sourcesubnational human development index website 

US Streaming Services Market Share, 2020 vs 2021

US Streaming Services Market Share, 2020 vs 2021
US Streaming Services Market Share, 2020 vs 2021

Number of tweets deleted by month

Number of tweets deleted by month in 2020
Number of tweets deleted by month in 2020

Tweet Deleter

Average Career Length by Sports Profession

Source: r/dataisbeautiful

From the author:

Got these numbers from here

Numbers like these are a quick reminder that not every athlete is LeBron James or Roger Federer who can play their sport at such high levels for their entire young adulthood while becoming billionaires in the process. Many careers are short lived and end abruptly while the athlete is still very young and some don’t really have a plan B.

NFL being at the bottom here doesn’t surprise me though as most positions (with the exception of QB and kicker) in US Football is lowkey bodily suicide.

Football/Soccer Leagues with the fairest distributions of money have seen the most growth in long-term global interest.

Football Leagues with the fairest distributions of money have seen the most growth in long-term global interest.
Football Leagues with the fairest distributions of money have seen the most growth in long-term global interest.

How Much Does Your Favorite Fast Food Brand Spend on Ads?

Sources:

mcdonald-s-advertising-spending-worldwide/

ad-spend-subway-usa/

dominos-pizza-advertising-spending-usa/

ad-spend-wednys-usa/

ad-spend-burger-king-usa/

advertising-expense-chick-fil-a/

starbucks-advertising-spending-in-the-us

Historical population count of Western Europe

Results from survey on how to best reduce your personal carbon footprint

Results from survey on how to best reduce your personal carbon footprint
Results from survey on how to best reduce your personal carbon footprint

Data from IpsosMori

Where does the world’s non-renewable energy come from? 

r/dataisbeautiful - Where does the world's non-renewable energy come from? Zoom in to see a point for each power plant! [OC]

The data comes from the Global Power Plant Database. The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. The database covers approximately 30,000 power plants from 164 countries and includes thermal plants (e.g. coal, gas, oil, nuclear, biomass, waste, geothermal) and renewables (e.g. hydro, wind, solar). Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. It will be continuously updated as data becomes available.

Recorded Music Industry Revenues from 1997 to 2020

Source: riaa.com/

US Trade Surpluses and Deficits by Country (2020)

https://www.reddit.com/r/dataisbeautiful/comments/n446a3/oc_us_trade_surpluses_and_deficits_by_country_2020/?utm_source=share&utm_medium=web2x&context=3

Facebook Monthly Active Users

Facebook data is based on the end of year from 2004 to 2020

Facebook monthly active users

Source: SeeMetrics.com

Heat map of the past 50,000 earthquakes pulled from USGS sorted by magnitude

Source:  USGS website

Where do the world’s methane (CH4)emissions come from?

Darker areas indicate areas with higher emissions.

Source: Data comes from EDGARv5.0 website and Crippa et al. (2019)

Earth Surface Albedo (1950 to 2020)

Data Source: ECMWF ERA5

Wealth of Forbes’ Top 100 Billionaires vs All Households in Africa

https://www.reddit.com/r/dataisbeautiful/comments/n1su36/oc_animated_wealth_of_forbes_top_100_billionaires/?utm_source=share&utm_medium=web2x&context=3
Sources:
Forbes’ 35th Annual World’s Billionaires List
Credit Suisse Global Wealth Report 2020
United Nations World Population Prospects

Forbes Billionaires list

United nations world population prospects

Credit Suisse Global Wealth Report 2020

20 years of Apple sales in a minute

https://www.reddit.com/r/dataisbeautiful/comments/n17ctc/oc_20_years_of_apple_sales_in_a_minute/?utm_source=share&utm_medium=web2x&context=3
Source: Apple’s quarterly and annual financial filings with the SEC over the last 20 years

Source: Wikipedia

Racial Diversity of Each State (Based on US Census 2019 Estimates)

r/dataisbeautiful - [OC] Racial Diversity of Each State (Based on US Census 2019 Estimates)

Computation:

Suppose your state is 60% orc, 30% undead, and 10% tauren. You chance in a random selection of two being of the same race is as follows:

  • 36% chance ((60%)2) of two orcs

  • 9% chance ((30%)2) of two undead

  • 1% chance ((10%)2) of two tauren

For a total of 46%. The diversity index would be 100% minus that, or 54%.

Race and Ethnicity in the US

A curated, daily feed of newly published datasets in machine learning

Machine Learning: CIFAR-10 Dataset

A curated, daily feed of newly published datasets in machine learning

The CIFAR-10 dataset consists of 60000 32×32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.

Machine Learning: ImageNet

The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), a benchmark in image classification and object detection. The publicly released dataset contains a set of manually annotated training images.

Machine Learning: The MNIST Database of Handwritten Digits

The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.

It is a good database for people who want to try learning techniques and pattern recognition methods on real-world data while spending minimal efforts on preprocessing and formatting. Access it here.

The Massively Multilingual Image Dataset (MMID)

MMID is a large-scale, massively multilingual dataset of images paired with the words they represent collected at the University of Pennsylvania. The dataset is doubly parallel: for each language, words are stored parallel to images that represent the word, and parallel to the word’s translation into English (and corresponding images.) . Dcumentation.

AWS CLI Access (No AWS account required)

aws s3 ls s3://mmid-pds/ --no-sign-request

AWS Azure Google Cloud Cloud Certification Exam Prep App
AWS Azure Google Cloud Cloud Certification Exam Prep App: AWS CCP Cloud Practitioner CLF-C01, AWS Solution Architect Associate SAA-C02, AWS Developer Associate DEV-C01, AWS DAS-C01, Azure Fundamentals AZ900, Azure Administrator AZ104, Google Associate Cloud Engineer, AWS Specialty Data Analytics DAS-C01, AWS and Google Professional Machine Learning Specialty MLS-C01

Capitol insurrection arrests per million people by state

How have cryptocurrencies done during the Pandemic?

Data Source: Downloaded performance data on these cryptocurrencies from Investing.com which provides free historic data

Share of US Wealth by Generation

r/dataisbeautiful - Share of US Wealth by Generation [OC]

Source: US Federal Reserve

Top 100 Cryptocurrencies by Market Cap

Top 100 Cryptocurrencies by Market Cap

Data Source from coinmarketcap.com/

 Crypto race: DOGE vs BTC, last 365 days

Data sources: Coindesk BTC, Coindesk Dodge

 Yearly Performance of TOP 100 cryptocurrencies
Yearly Performance of TOP 100 cryptocurrencies

12,000 years of human population dynamics

Countries with a higher Human Development Index (HDI) than the European Union (EU)

HDI is calculated by the UN every year to measure a country’s development using average life expectancy, education level, and gross national income per capita (PPP). The EU has a collective HDI of 0.911.

Data Source: Here

Countries with a higher Human Development Index (HDI) than the United States (US)

Data source: Human Development Report 2020

Child marriage by country, by gender

Data on the percentage of children married before reaching adulthood (18 years).

Data source The State of the World’s Children 2019

 

Wars with greater than 25,000 deaths by year

Data Source : Wikipedia

Population Projection for China and India till 2050

Data Source: Here

Relative cumulative and per capita CO2 emissions 1751-2017

 

Relative cumulative and per capita CO2 emissions 1751-2017
Relative cumulative and per capita CO2 emissions 1751-2017

Dat Source: ourworldindata.org

Formula 1 Cumulative Wins by Team (1950-2021)

Data Source : f1-fansite.com/f1-results/

Countries with the most nuclear warheads. A couple of days ago I posted this with a logarithmic scale.

Data source: Wikipedia

Using machine learning methods to group NFL quarterbacks into archetypes

Using machine learning methods to group NFL quarterbacks into archetypes
Using machine learning methods to group NFL quarterbacks into archetypes

Data Source:

Data collected from a  series of rushing and passing statistics for NFL Quarterbacks from 2015-2020 and performed a machine learning algorithm called clustering, which automatically sorts observations into groups based on shared common characteristics using a mathematical “distance metric.”

The idea was to use machine learning to determine NFL Quarterback Archetype to agnostically determine which quarterbacks were truly “mobile” quarterbacks, and which were “pocket passers” that relied more on passing. I used a number of metrics in my actual clustering analysis, but they can be effectively summarized across two dimensions: passing and rushing, which can be further roughly summarized across two metrics: passer rating and rushing yards per year. Plotting the quarterbacks along these dimensions and plotting the groups chosen by the clustering methodology shows how cleanly the methodology selected the groups.

Read this blog article on the process for more information if you’re interested, or just check out this blog in general if you found this interesting!

Data: Collected from the ESPN API

2M rows of 1-min S&P bars (12 years of stock data) – 2008-2021

Intraday Stock Data (1 min) – S&P 500 – 2008-21: 12 years of 1 minute bars for data science / machine learning.

Granular stock bar data for research is difficult to find and expensive to buy. The author has compiled this library from a variety of sources and is making it available for free.

One compressed CSV file with 9 columns and 2.07 million rows worth of 1 minute SPY bars.  Access it here

A global database of COVID-19 vaccinations

Cumulative number of COVID-19 doses administered by country.
Cumulative number of COVID-19 doses administered by country.
COVID-19 vaccine doses administered per 100 people versus gross domestic product per capita.
COVID-19 vaccine doses administered per 100 people versus gross domestic product per capita.
Timeline of innovation in the development of vaccines.
Timeline of innovation in the development of vaccines.

Datasets: A live version of the vaccination dataset and documentation are available in a public GitHub repository here. These data can be downloaded in CSV and JSON formats. PDF.

 A list of available datasets for machine learning in manufacturing

Industrial ML Datasets: curated list of datasets, publicly available for machine learning researches in the area of manufacturing.

Predictive Maintenance and Condition Monitoring

NameYearFeature TypeFeature CountTarget VariableInstancesOfficial Train/Test SplitData SourceFormat
Diesel Engine Faults Features2020Signal84C (4)3.500 SyntheticMATLink

Process Monitoring

NameYearFeature TypeFeature CountTarget VariableInstancesOfficial Train/Test SplitData SourceFormat 
High Storage System Anomaly Detection2018Signal20C (2)91.000 SyntheticCSVLink

Predictive Quality and Quality Inspection

NameYearFeature TypeFeature CountTarget VariableInstancesOfficial Train/Test SplitData SourceFormat 
Casting Product Quality Inspection2020Image300×300
512×512
C (2)7.348✔️RealJPGLink

Process Parameter Optimization

NameYearFeature TypeFeature CountInstancesOfficial Train/Test SplitData SourceFormat 
Laser Welding2020Signal13361 RealXLSLink

Data Analytics Certification Questions and Answers Dumps

Datasets needed for Crop Disease Identification using image processing

Here is a collection of datasets with images of leaves

and more generic image datasets that include plant leaves

http://visualgenome.org/

http://image-net.org/

Plant Phenotyping

One hundreds plant species datasets

cvonline 

A Database of Leaf Images: Practice towards Plant Conservation with Plant Pathology

Survival Analysis datasets for machines

Download it here

English alphabet organized by each letter’s note in ABC

English alphabet organised by each letter's note in ABC
English alphabet organized by each letter’s note in ABC

Discover datasets hosted in thousands of repositories across the Web using datasetsearch.research.google.com

#dataset #search   @Google

Create, maintain, and contribute to a long-living dataset that will update itself automatically across projects.

Datasets should behave like git repositories.

Image

Datasets should behave like git repositories
Datasets should behave like git repositories

Learn how to create, maintain, and contribute to a long-living dataset that will update itself automatically across projects, using git and DVC as versioning systems, and DAGsHub as a host for the datasets. 

Human Rights Measurement Initiative Datasets

Image

World Wide Energy Production by Source 1860 – 2019

[OC] World Wide Energy Production by Source 1860 – 2019 from dataisbeautiful

Data source: ourworldindata.org/energy

 Project Sunroof – Solar Electricity Generation Potential by Census Tract/Postal Code

 Courtesy of Google’s Project Sunroof: This dataset essentially describes the rooftop solar potential for different regions, based on Google’s analysis of Google Maps data to find rooftops where solar would work, and aggregate those into region-wide statistics.

It comes in a couple of aggregation flavors – by census tract , where the region name is the census tract id, and by postal code , where the name is the postal code. Each also contains latitude/longitude bounding boxes and averages, so that you can download based on that, and you should be able to do custom larger aggregations using those, if you’d like.

Carbon emission arithmetic + hard v. soft science

carbon emission arithmetic + hard v. soft science [oc] from dataisbeautiful

Data sources: Video From data-driven documentary The Fallen of World War II. Here and Here

Most popular Youtuber in every country 2021