#Data Analytics
Explore tagged Tumblr posts
victusinveritas · 11 months ago
Text
Tumblr media Tumblr media Tumblr media
179K notes · View notes
cuecrynsleep · 10 months ago
Text
Smosh Video Stats from January 1 - June 30
Smosh Pit
Tumblr media Tumblr media
Smosh Games
Tumblr media Tumblr media
Smosh Overall
Tumblr media Tumblr media
-Marathons weren’t included in the count as those were filmed in 2023.
-This is to recount how often we see Smosh members in half a year, despite this being made in August.
-The Smosh main announcement + Smosh sitcom trailer was included in the count.
-The count is based off of the desc. of who appears in every video.
-Lives and Members Exclusive videos aren’t included in the count.
-Angela & Chanse were credited for the tell-all episode of Smosh Mouth despite the desc. saying Amanda & Shayne.
172 notes · View notes
atomic47 · 5 months ago
Text
Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media Tumblr media
Im a bit late but I did a thing and made an Ao3 wrapped, I liked crunching the numbers :3
40 notes · View notes
chica-de-costa · 25 days ago
Text
reply to @bini-kei (this is not hate, i purely have statistics to display)
[Additional information; i am very passionate about statistics and mathematics, this is purely a chance for me to further engage this, provide information, and prove a point. All my data is drawn from Wikipedia and UCLA statistics]
I am using the term "Queer" as someone who falls under the LGBT+ umbrella, rather than as a synonym for "weird" by Oxford definition.
--
The original post made stated as so;
"To the person who said that making all the pjo characters queer is unrealistic:
Making all of them straight is unrealistic too"
My contradicting point is as following;
It is not unrealistic, but rather the chances of the majority of the characters being queer in some form goes against most statistics.
I am not homophobic, i just need an opportunity to talk about data and statistics and debate in some way. I really love statistics and probability.
--
Gallup 2014 statistics state that 4.5% of adult-americans identify as queer in some way, and general surveys spanning over multiple years from western cultures "find, on average, that about 93% of men and 87% of women identify as completely heterosexual".
Now this is purely in western culture, but to narrow down the statistics to make this as accurate as possible, i will draw data from individual states and countries, and mainly focus on the 7 + Nico and Will.
Going in alphabetical order;
Annabeth Chase.
The Riordan wiki states that she is originally from Virgina with a swedish background, but i will focus on her place of origin being Virgina now.
5.9% of adults in Virgina identify as queer, meaning that statistically, the chances of Annabeth being queer, are 5.9%.
The population of Virgina is 8,624,511 as of 2022, though the data was collected in 2021, meaning it is not outdated.
5.9% of 8,624,511 ≈ 50,8846
Frank Zangh
A survey conducted by SC [statistics Canada] in 2014 stated that 4% of the adult population in canada identified as queer in some way - or "LGBT" as stated in the survey.
This means that the chances of Frank being queer are 4%.
To spare you time, these are all the data collected (holding Nico and Hazel for purposes i will explain)
Annabeth Chase - 5,9% Frank Zangh - 4% Jason/Thalia Grace - 9.3% Leo Valdez - 5.1% Percy Jackson - 5.5% Piper Mclean - 6% Will Solace - 5.1%
Now since both Hazel and Nico are from the 1930's - 1940's, gathering data from that period of time was very difficult. Little to no data was collected from this period of time as Homosexual marriages and/or activities were either highly discouraged, unrecognised, or banned in the majority of places (with the exception of the Faroe islands, Greenland, Sweden, Poland, Etc.)
With modern data it would state as following;
Hazel Levesque - 5.7% Nico Di Angelo - 2.4% (with some contradictions)
Ultimately, adding all of these changes together give us 5,4%
Which gives us the average percentage for the chances of the desired outcome, and i will use this cause Lord i am so tired of all of these equations i've been doing - you have no idea.
Now, the chances of every each of the 9 being queer, is approximately
0.0000000073%.
19 notes · View notes
j0shm0 · 10 months ago
Text
Currently in a "love"/"hate" relationship with James Vowels if all the reports coming out of the media about Logan and true right now.
You can scroll through my posts and see how good Logan has been doing all year.... especially when you consider his car never gets upgraded and has been way over weight compared to his competitors.
But what has James done since Bahrain? Nothing but talk crap to the media about Logan. Took his car away in Australia, constantly let's rumors fly and starts them about replacing him, spent all of his energy chasing Sainz and then gushing about him to anyone with a Mic.
Like damn James what the hell did you expect Logan to do? Further more the fact that he refuses to acknowledge Logan is indeed performing with a cement brick of a car is so sad.
Logan has crashed twice all year, which is a major improvement.
100 notes · View notes
eggshellsareeat · 2 months ago
Text
Tumblr media
Big fan of @wouldyoufuckthisfurry, so here's an impromptu chart of the furries thus far!
Data disclaimer: this chart contains both ongoing polls and completed polls, and compares the two indiscriminately
31 notes · View notes
turns-out-its-adhd · 1 year ago
Text
AI exists and there's nothing any of us can do to change that.
If you have concerns about how AI is being/will be used the solution is not to abstain - it's to get involved.
Learn about it, practice utilising AI tools, understand it. Ignorance will not protect you, and putting your fingers in your ears going 'lalalala AI doesn't exist I don't acknowledge it' won't stop it from affecting your life.
The more the general population fears and misunderstands this technology, the less equipped they will be to resist its influence.
170 notes · View notes
saraharveypatrick · 4 months ago
Text
Tumblr media
Ninja, robots, pirates, magic
I made an interactive visualization on the 100 most popular comics at the Brooklyn Public Library for January 2025. The full 100 is also here on Medium. Top manga 1. Demon slayer = Kimetsu no yaiba Volume 1 by Koyoharu Gotoge, 2019 2. One piece by Eiichirō Oda, 2023 3. Spy x family. 1, Mission 1 by Tatsuya Endo, 2020 4. My hero academia. Vol. 1, Izuku Midoriya: Origin by Kōhei Horikoshi, 2015 5. Spy x family. Vol. 12 by Tatsuya Endō, 2024 6. Demon slayer. 23, Life shining across the years by Koyoharu Gotoge, 2021 7. Naruto. Vol. 1, The tests of the ninja by Masashi Kishimoto, 2023 8. Jujutsu kaisen. Volume 1, Ryomen Sukuna by Gege Akutami, 2019 9. Spy x family. Volume 11 by Tatsuya Endō, 2024 10. Dragon ball super. 1, Warriors from Universe 6! by Akira Toriyama, 2017
Top Marvel checkouts
Guardians of the Galaxy Volume 3, DVD, 2023
Ant-Man and the Wasp: Quantumania, DVD, 2023
Miles Morales, Straight out of Brooklyn by Saladin Ahmed, 2019
Black Panther: Wakanda Forever, DVD, 2021
Spider-Man: No Way Home, DVD, 2022
Doctor Strange in the Multiverse of Madness, DVD, 2022
Ms. Marvel. 1, No normal by G Willow Wilson, 2014
Spider-Man. Vol. 1, Miles Morales by Brian Michael Bendis, 2016
Thor: Love and Thunder, DVD, 2022
Other graphic novels
Heartstopper Volume 5 by Alice Oseman, 2023
Heartstopper Volume 2 by Alice Oseman, 2020
Heartstopper Volume 3 by Alice Oseman, 2021
Heartstopper Volume 4 by Alice Oseman, 2021
The Girl From the Sea by Molly Knox Ostertag, 2021
The Twisted Ones by Scott Cawthon, 2021
Five Nights at Freddy’s, Fazbear Frights, The Fourth Closet by Chris Hastings, 2022
Heartstopper Volume 1 by Alice Oseman, 2020
Five Nights at Freddy’s, Fazbear Frights, Graphic Novel Collection Vol. 1 by Scott Cawthon, 2022
The Princess and the Grilled Cheese Sandwich by Deya Muniz, 2023
21 notes · View notes
hackeocafe · 5 months ago
Text
youtube
How To Learn Math for Machine Learning FAST (Even With Zero Math Background)
I dropped out of high school and managed to became an Applied Scientist at Amazon by self-learning math (and other ML skills). In this video I'll show you exactly how I did it, sharing the resources and study techniques that worked for me, along with practical advice on what math you actually need (and don't need) to break into machine learning and data science.
21 notes · View notes
herpersonafire · 1 year ago
Text
Tumblr media
Hey everyone! enjoying my (two) week break of uni, so I've been lazy and playing games. Today, working on Python, I'm just doing repetition of learning the basics; Variables, Data types, Logic statements, etc. Hope everyone has a good week!
78 notes · View notes
bidotorg · 6 months ago
Text
It's #BiScienceFriday and today we're doing a deep-dive into some delicious data!
30 notes · View notes
cuecrynsleep · 10 months ago
Text
Amanda Lehan-Canto's shipping data analytics on fanfiction (AO3)
Tumblr media Tumblr media
Angela Giarratana's shipping data analytics on fanfiction (AO3)
Tumblr media Tumblr media
-Note: Romantic pairings exclusive
-This is accurate to August 9/10: 11:12 PM-12:59 AM (PST)
-In the analytics this includes characters they play
-Fanfictions will appear multiple times based on how many relationship tags it appears in
-Disclaimer: This is not meant to comment on which ship is better and nor is anything listed supposed to prove something.
General thoughts: I made this because I'm such a huge fucking nerd and love data/analytics. I'm not sure if this is interesting to anyone else, but I made it so I might as well share it. I find it interesting how for Amanda's pie chart I had no idea who would be 2nd/3rd due to overlooking Sarah Christ and Redacted. For Angela I knew full well Courtney and Damien would at least rank.
Bonus: Amangela AO3 Stats in certain categories
Tumblr media
148 notes · View notes
stemgirlchic · 11 months ago
Text
data analysis is rly like
it's so over we're so back it's so over we're so back it's so over
i know, i know, negative results don't make my work any less valid but cmon please give me something
46 notes · View notes
unhingedstatistics · 7 months ago
Text
Tumblr media
21 notes · View notes
j0shm0 · 5 months ago
Text
Michael Schumacher All-Time Race Record
As promised, next up we have THE definitive G.O.A.T of the 90s-10's. There may have been other WDC, Fast competitive drivers, but no one…NO ONE compared to the dominance that is Michael Schumacher or Iconic as him in his scarlet Ferrari. He dominated in a ton of different models of cars, regulations, rules, safety procedures and more. No one holds more WDC's then Michael as he has 7 with 5 of them being back to back from 2000-2004. He may not have as many overall race wins as Sir Lewis Hamilton, but there is no doubt that Michael is the iconic vision of a Formula One driver.
Throughout his 19-year career which went from 1991 to 2006 and 2010 to 2012; he racked in a total of 91 wins, 41 runner-up podiums, 22 third place podiums, 64 point finishes, 17 outside the points, and 65 DNFs. Racing with V10s, V8s, Hyrbrids, No HANS, with HANS, Points only going to only 6th, 8th, and 10th. There is not a single major era of formula one that he has not been apart of. Even the Ground effect era was something he did, just not this 2022+ version that we have now.
Tumblr media
Noticeable points throughout his legacy:
DNF'd in Japan his first 3 years until 1994 (which was also his first WDC)
Was on pace in 1997 and 1999 to win another WDC but in 97 he was DSQ from the whole championship and in 1999 he broke his leg with a massive shunt at the British Grand Prix
Had more "out of the points finishes" from 2010-2012 then he did from 1991-2006 combined. aka. 'POINTS OR NOTHING'
Missed 7 races in 1997 from July to September, and Missed 3 races in 1994 due to a broken rib. STILL WON THE WDC in 94.
Tumblr media
27 notes · View notes