#Applications of graphs

[sprinklecipher]

Turnabout Titles

Got curious about how often people applied the “Turnabout” naming scheme to their AA fics, so I crunched a bunch of numbers on AA fics across Ao3 and FFN to find out (and also maybe got a bit carried away looking for patterns…)

What I found:

Overall, about 4% of AA fics on Ao3 and 13% of AA fics on FFN include “Turnabout” in the title

Longer fics were more likely to have “Turnabout” in the title than were shorter ones, with about 14% of 30k+ AA fics on Ao3 featuring it in the title, compared to only about 2% of sub-1k AA fics

“Turnabout” fics were disproportionately likely to be crossovers—about 19% of AA fics with “Turnabout” in the title were crossovers, compared to 5% of AA fics overall

And here’s a graph for good measure:

Method details and raw numbers below the cut

Method: For the Ao3 numbers, I searched for fics in the “逆転裁判 | Gyakuten Saiban | Ace Attorney” fandom, limiting the results to English-language fics only and excluding restricted works (although at a glance, the same patterns appear to hold among restricted works). For the FFN numbers, I searched for fics in the “Phoenix Wright: Ace Attorney” fandom, filtered to English language only. Data collected 5/25/2024.

[petit-papillion]

Giving credit to original posters, creators, artists, photographers, and sources matters.

It matters to the person who put in the time and effort to create the content. Whether it's finding that photo and editing it to make it stand out. Or downloading that video, editing it, coloring it, turning it into a gif, adding subtitles, etc. Regardless of what you do (job/student), I'm sure you too would not like it if someone else takes credit for your work.

It matters to people who want to know context. Was it said by a fan, your favourite's bestie, a reputable journalist? Published by a tabloid or the New York Times? From last week or last year? Is it an original, or did someone get photoshopped in for a meme?

It matters to people who may want to explore more content of that particular publication, so they will continue to publish top-notch articles. Or give kudos to a budding artist for their outstanding art work, potentially encouraging them to create more. Or compliment that photographer on capturing their fave in just the right light.

It matters, because even though it may take you an extra minute or so to add on that name or link, it is the right thing to do.

[lucydacusgirl]

yeah I'm an expert in a dying field (undergrad in english literature)

[otacringe]

i fucking hate the SATs what kind of test goes "yeah cool we know you're good with grammar and stuff you actually learn in english class but can you draw observations from scientific data, which is a thing you do in A WHOLE DIFFERENT CLASS now?"

[mohelconvention]

Math is so unserious. I just spent the whole day talking about queens attacking, queens dominating, queens covering, queen independence. But all people want to know is it practical? What do we get from the queens?

I don’t know maybe the privilege of bathing in the light of their omnipotence? More efficient traffic controls? Who cares just watch them dominate everything in their line of sight. I feel like I’m trying to sell republicans on matriarchy

[9nid]

🧠 Master Graphical Applications of Quadratic Equations – Part 2 | JEE Series Part-15 | By 9nid

🎯 Introduction Quadratic Equations are one of the most tested and important topics in JEE Mathematics, and understanding their graphical behavior can make even the toughest questions feel easy! In Part-15 of the JEE Series by @9nid, we dive deeper into the Graphical Application of Quadratic Equations (Part-2) — focused on visualizing inequalities and interpreting expressions using…

[edusquaremaths]

🧠 Master Graphical Applications of Quadratic Equations – Part 2 | JEE Series Part-15 | By 9nid

🎯 Introduction Quadratic Equations are one of the most tested and important topics in JEE Mathematics, and understanding their graphical behavior can make even the toughest questions feel easy! In Part-15 of the JEE Series by @9nid, we dive deeper into the Graphical Application of Quadratic Equations (Part-2) — focused on visualizing inequalities and interpreting expressions using…

[goodoldbandit]

Data Unbound: Embracing NoSQL & NewSQL for the Real-Time Era.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Explore how NoSQL and NewSQL databases revolutionize data management by handling unstructured data, supporting distributed architectures, and enabling real-time analytics. In today’s digital-first landscape, businesses and institutions are under mounting pressure to process massive volumes of data with greater speed,…

[jcmarchi]

Harnessing AI and Knowledge Graphs for Enterprise Decision-Making

New Post has been published on https://thedigitalinsider.com/harnessing-ai-and-knowledge-graphs-for-enterprise-decision-making/

Harnessing AI and Knowledge Graphs for Enterprise Decision-Making

Today’s business landscape is arguably more competitive and complex than ever before: Customer expectations are at an all-time high and businesses are tasked with meeting (or exceeding) those needs, while simultaneously creating new products and experiences that will provide consumers with even more value. At the same time, many organizations are strapped for resources, contending with budgetary constraints, and dealing with ever-present business challenges like supply chain latency.

Businesses and their success are defined by the sum of the decisions they make every day. These decisions (bad or good) have a cumulative effect and are often more related than they seem to be or are treated. To keep up in this demanding and constantly evolving environment, businesses need the ability to make decisions quickly, and many have turned to AI-powered solutions to do so. This agility is critical for maintaining operational efficiency, allocating resources, managing risk, and supporting ongoing innovation. Simultaneously, the increased adoption of AI has exaggerated the challenges of human decision-making.

Problems arise when organizations make decisions (leveraging AI or otherwise) without a solid understanding of the context and how they will impact other aspects of the business. While speed is an important factor when it comes to decision-making, having context is paramount, albeit easier said than done. This begs the question: How can businesses make both fast and informed decisions?

It all starts with data. Businesses are acutely aware of the key role data plays in their success, yet many still struggle to translate it into business value through effective decision-making. This is largely due to the fact that good decision-making requires context, and unfortunately, data does not carry with it understanding and full context. Therefore, making decisions based purely on shared data (sans context) is imprecise and inaccurate.

Below, we’ll explore what’s inhibiting organizations from realizing value in this area, and how they can get on the path to making better, faster business decisions.

Getting the full picture

Former Siemens CEO Heinrich von Pierer famously said, “If Siemens only knew what Siemens knows, then our numbers would be better,” underscoring the importance of an organization’s ability to harness its collective knowledge and know-how. Knowledge is power, and making good decisions hinges on having a comprehensive understanding of every part of the business, including how different facets work in unison and impact one another. But with so much data available from so many different systems, applications, people and processes, gaining this understanding is a tall order.

This lack of shared knowledge often leads to a host of undesirable situations: Organizations make decisions too slowly, resulting in missed opportunities; decisions are made in a silo without considering the trickle-down effects, leading to poor business outcomes; or decisions are made in an imprecise manner that is not repeatable.

In some instances, artificial intelligence (AI) can further compound these challenges when companies indiscriminately apply the technology to different use cases and expect it to automatically solve their business problems. This is likely to happen when AI-powered chatbots and agents are built in isolation without the context and visibility necessary to make sound decisions.

Enabling fast and informed business decisions in the enterprise

Whether a company’s goal is to increase customer satisfaction, boost revenue, or reduce costs, there is no single driver that will enable those outcomes. Instead, it’s the cumulative effect of good decision-making that will yield positive business outcomes.

It all starts with leveraging an approachable, scalable platform that allows the company to capture its collective knowledge so that both humans and AI systems alike can reason over it and make better decisions. Knowledge graphs are increasingly becoming a foundational tool for organizations to uncover the context within their data.

What does this look like in action? Imagine a retailer that wants to know how many T-shirts it should order heading into summer. A multitude of highly complex factors must be considered to make the best decision: cost, timing, past demand, forecasted demand, supply chain contingencies, how marketing and advertising could impact demand, physical space limitations for brick-and-mortar stores, and more. We can reason over all of these facets and the relationships between using the shared context a knowledge graph provides.

This shared context allows humans and AI to collaborate to solve complex decisions. Knowledge graphs can rapidly analyze all of these factors, essentially turning data from disparate sources into concepts and logic related to the business as a whole. And since the data doesn’t need to move between different systems in order for the knowledge graph to capture this information, businesses can make decisions significantly faster.

In today’s highly competitive landscape, organizations can’t afford to make ill-informed business decisions—and speed is the name of the game. Knowledge graphs are the critical missing ingredient for unlocking the power of generative AI to make better, more informed business  decisions.

[sramfact]

The global photoresist and photoresist ancillaries market size is estimated to be USD 4.1 billion in 2023 and projected to reach USD 5.3 billion by 2028, at a CAGR of 5.1%. Photoresists are light-sensitive materials used to pattern and etch substrates for the production of integrated circuits and electronic devices in the semiconductor and microelectronics industries. When exposed to light, they experience a chemical shift that enables the precise patterning of the underlying substrate. Ancillaries for photoresists are additives and chemicals that are used with photoresists to enhance the lithographic process. In the phases of cleaning, pre-coating, development, stripping, and post-processing, they are essential. This industry, which is fueled by improvements in semiconductor technology and the need for improved process yields, is strongly related to the demand for photoresists.

[coldpenguintaco]

Fluorescent Pigment Industry Ecosystem, Growth, Size Analysis, Opportunities, Top Manufacturers, Share, Trends, Segmentation, Regional Graph and Forecast

The fluorescent pigment market is projected to reach USD 498 million by 2028, at a CAGR of 5.7 % from USD 377 million in 2023. The growth in emerging markets, coupled with increased use in security and anti-counterfeiting measures, will contribute to the rapid growth in the demand for fluorescent pigment.  Download PDF…

[wifeblade]

I love studying math its so easey

[stellardeer]

Yeah I was kind of following both sides and willing to see where their argument was going until that shit, like do you really think most people in any of the fields listed wouldn't LOVE to dedicate their life to honing skills in multiple different fields of study?

Granted, as an engineering major I did often hear remarks from other students going into biology like "oh I could never do all that math" but I don't believe that they are genuinely incapable of learning and comprehending the material, but rather it's the given time frame and the way in which it is taught in some cases that bars people from exploring those topics. Not to mention, I've also heard enough physics and maths student griping about their gen chem or anatomy classes because it's "too much memorization," which just further exemplifies the point OP was trying to make about there possibly being different types of intelligence that we could theoretically measure but not "intelligence" as a whole. Just because someone is good at solving puzzles doesn't mean they have good recall and vice versa.

Also, I know anecdotal evidence doesn't mean much, but in my personal experience, everyone is capable of understanding mathematical concepts if they are taught in a way that actually makes sense to them. I have helped tutor so many people who just needed to have things explained in terms that made sense to them, which I think suggests there are social factors at play, like how you were educated in your formative years and what kind of language you're familiar with to describe certain concepts. But I haven't actually read studies that explore this kind of idea, so I can't make any actual arguments here, I just refuse to agree that a biologist could never be a mathematician purely due to lack of intellectual capability.

Not to mention the time and money factor, most people give up on subjects that they don't immediately excel at because they don't want to waste years and tens of thousands of dollars to keep trying until they get it right. And most working adults don't care to spend what little free time they have in their life going back and learning subjects they failed, they're too busy doing chores and raising kids and fucking relaxing in the few peaceful hours they get to themselves.

Can you explain in what what you think eugenics doesn't work? Does this basically boil down to skepticism about the accuracy of GWAS studies? My understanding is that academic consensus is "G probably exists, disentangling direct genetic inheritance vs genetic cultural inheritance is complicated but possible, we can identify a number of alleles which we're reasonably confident are directly causally involved in having a higher G factor"

when it comes to intelligence, its heritability, and its variation at the population level, my understanding of the science is:

highly adaptive traits don't, in fact, vary much at the genetic level between populations of a species because they are strongly selected for. in an environment where a trait is being strongly selected for, a population that failed to express that trait strongly will be rapidly outcompeted.

intelligence is probably the quintessential such trait for humans. we have sacrificed a great deal of other kinds of specialization in favor of our big brains. we spend an enormous amount of calories supporting those brains. tool use, the ability to plan for the future, the ability to navigate complex social situations and hierarchies in order to secure status, the ability to model the minds of others for the purposes of cooperation and deception means that we should expect intelligence to be strongly selected for for as long as our lineage has been social and tool-using, which is at least the last three million years or so.

so, at least as a matter of a priori assumptions, we should expect human populations not to vary greatly in their genetic predisposition to intelligence. it may nonetheless, but we'd need pretty strong evidence. i think i read this argument on PZ Myers' blog a million years ago, so credit where that's due.

complicating the picture is that we just don't have good evidence for how IQ does vary across populations, even before we get into the question of "how much of this variation is genetic and how much of it is not." the cross-national data on which a lot of IQ arguments have been based is really bad. and that would be assuming IQ tests are in fact good at capturing a notion of IQ that is independent of cultural context, which historically they're pretty bad at

this screed by nassim nicholas taleb (not a diss; AFAICT the guy only writes in screeds) makes a number of arguments, but one argument I find persuasive is that IQ is really only predictive of achievement in the sense that it does usefully discriminate between people with obvious intellectual disabilities and those without--but you do not actually need an IQ test for that sort of thing, any more than you need to use a height chart to figure out who is missing both their legs. in that sense, sure, IQ is predictive of a lot of things. but once you remove this group, the much-vaunted correlations between IQ and stuff like wealth just straight-up vanishes

heritability studies are a useful tool, but a tool which must be wielded carefully; they were developed for studying traits which were relatively easy to isolate in very specific populations, like a crop under study at an agricultural research site, and are more precarious when applied to, e.g., human populations

my understanding based on jonathan kaplan articles like this one is that twin studies are not actually that good at distinguishing heritable factors from environmental ones--they have serious limitations compared to heritability studies where you actually can rigorously control for environmental effects, like you can with plants or livestock.

as this post also points out, heritability studies also only examine heritability within groups, and are not really suited to examining large-scale population differences, *especially* in the realm of intelligence where there is a huge raft of confounding factors, and a lack of a really robust measurement tool.

(if we are worried about intelligence at the population level, it seems to me there are interventions we know are going to be effective and do not rely on deeply dubious scientific speculation, e.g., around nutrition and healthcare and serious wealth inequality and ofc education; and if what people actually want is to raise the average intelligence of the population rather than justify discrimination against minorities, then they might focus on those much more empirically grounded interventions. even if population differences in IQ are real and significant and point to big differences in intelligence, we know those things are worth a fair few IQ points. but most people who are or historically have been the biggest advocates for eugenics are, in my estimation, mostly interested in justifying discrimination.)

i think the claims/application of eugenics extend well beyond just intelligence, ftr. eugenics as an ideology is complex and historically pretty interesting, and many eugenicists have made much broader claims than just "population-level differences in intelligence exist due to genetic factors, and we should try to influence them with policy," but that is a useful point for them to fall back onto when pressed on those other claims. but i don't think even that claim is at all well-supported.

[makis-eyebrows]

Request: 🍓

One Page At A Time

Exam stress is something Lily and Oscar never want to see from their daughter. So they do what they can. They help her.

The house was quiet — not peaceful, but tense.

Upstairs, the only sound was the furious scratch of a pen on paper, the occasional frustrated sigh, and the muffled thud of a textbook being slammed shut.

Y/n Piastri-Zneimer sat hunched over her desk, hair piled into a messy bun, eyes darting over formulas and facts that refused to stick. Her room looked like a war zone — colour-coded notes scattered across her bed, flashcards stuck on the wall like battle plans, and a half-finished mug of tea that had gone cold hours ago.

It was exam season. The final exam season.

The one that decided her future.

University applications were around the corner, and her grades this year would carry the most weight. And though Y/n had always been a steady, self-motivated student, the pressure had started pressing in on all sides like a slow tide. Her highlighters were running dry. Her sleep was inconsistent. And she hadn’t smiled — not really — in days.

Oscar had noticed.

So had Lily.

They had heard the small, tired voice from behind her door whenever they checked in. Had seen her rubbing her temples at breakfast, eyes still glazed over from late-night revision. Oscar had even found her dozing off on the couch with her physics notes stuck to her cheek one evening after a study break turned nap.

That night, as Lily stirred pasta in the kitchen and Oscar leaned against the counter with a quiet frown, they exchanged a look.

“She’s going to burn out,” Lily said softly, voice laced with concern.

Oscar nodded. “I keep telling her to take a break, but she won’t listen. Says she doesn’t have time.”

“Then maybe we make the time for her.”

Oscar raised an eyebrow. “Operation Parental Intervention?”

Lily smiled. “Exactly.”

It started small the next morning.

Oscar brought her breakfast in bed — toast, berries, and a soft-boiled egg with a silly little smiley face drawn in sharpie.

Y/n blinked at the tray. “Dad… what’s this?”

He shrugged casually. “Brain fuel. Straight from the Piastri pit crew. You’re the car, exams are the race, and you can’t win if you don’t refuel.”

Y/n laughed softly despite herself. “That was so cheesy.”

“I aim to please.”

Later that afternoon, Lily walked into Y/n’s room with a stack of hot chocolate, fluffy socks, and a candle that smelled like vanilla and old libraries.

“Okay,” she said, clapping her hands. “Five-minute breathing session, followed by a twenty-minute reset walk with your very stylish mum. No negotiation.”

“But I have—”

“Y/n.”

Y/n looked up and saw the gentleness in her mum’s eyes. The kind that didn’t push too hard, just held space. Slowly, she closed her textbook.

“…Fine. But only because I’m starting to smell like exam stress.”

They walked around the neighbourhood, talking about everything but school — their dog barking at leaves, the colour of the sunset, how Lily once fell off a Segway in front of a busload of tourists.

And just like that, some of the weight fell off Y/n’s shoulders.

But the big move came the next evening.

Y/n was hitting a breaking point with her maths exam. Graphs and derivatives blurred together, and nothing made sense. Her hands trembled from too much caffeine. Her chest was tight.

“Stupid curve,” she muttered, eyes burning. “I don’t get it, I just… don’t get it.”

A knock sounded on her door.

Oscar poked his head in. “Hey, I need you for something.”

“Dad, I’m really not—”

“Y/n.”

She sighed, standing reluctantly.

But when she followed him downstairs, she blinked in confusion.

The living room had been transformed.

A blanket fort — a giant one — took over the couch, twinkly lights draped along the top like constellations. A projector lit the wall with her favorite movie’s opening scene. Popcorn sat in a bowl shaped like a racing helmet. On the floor was a handwritten sign:

“NO EXAMS ALLOWED BEYOND THIS POINT.”

Lily popped her head out from under the fort flap. “Come on in, Professor. Time to shut off that brain.”

Y/n stared, eyes wide. Then she let out a choked laugh.

“You guys are ridiculous.”

Oscar beamed. “And you love it.”

She crawled inside, curling up between them under a mountain of pillows. Her hand found Oscar’s and squeezed.

“Thanks, Dad.”

He squeezed back. “One page at a time, yeah?”

“Yeah.”

That night, after the movie ended and Y/n had fallen asleep against her mum’s shoulder — breathing finally even and calm — Oscar looked down at her peaceful face and smiled.

She’d be okay.

Because she didn’t have to carry the pressure alone.

Not when she had them in her corner, cheering her on — no matter the grade, no matter the result.

Just like he’d always wanted to be for her.

Another piece of work done :)

I'm heading to bed now. I can't wake up upset or anything or I'll miss the bus, since I have school and all.

That's Gang Gang out!!!!

[desiree-uk]

DXVK Tips and Troubleshooting: Launching The Sims 3 with DXVK

A big thank you to @heldhram for additional information from his recent DXVK/Reshade tutorial! ◀ Depending on how you launch the game to play may affect how DXVK is working.

During my usage and testing of DXVK, I noticed substantial varying of committed and working memory usage and fps rates while monitoring my game with Resource Monitor, especially when launching the game with CCMagic or S3MO compared to launching from TS3W.exe/TS3.exe.

It seems DXVK doesn't work properly - or even at all - when the game is launched with CCM/S3MO instead of TS3W.exe/TS3.exe. I don't know if this is also the case using other launchers from EA/Steam/LD and misc launchers, but it might explain why some players using DXVK don't see any improvement using it.

DXVK injects itself into the game exe, so perhaps using launchers bypasses the injection. From extensive testing, I'm inclined to think this is the case.

Someone recently asked me how do we know DXVK is really working. A very good question! lol. I thought as long as the cache showed up in the bin folder it was working, but that was no guarantee it was injected every single time at startup. Until I saw Heldhram's excellent guide to using DXVK with Reshade DX9, I relied on my gaming instincts and dodgy eyesight to determine if it was. 🤭

Using the environment variable Heldhram referred to in his guide, a DXVK Hud is added to the upper left hand corner of your game screen to show it's injected and working, showing the DXVK version, the graphics card version and driver and fps.

This led me to look further into this and was happy to see that you could add an additional line to the DXVK config file to show this and other relevant information on the HUD such as DXVK version, fps, memory usage, gpu driver and more. So if you want to make sure that DXVK is actually injected, on the config file, add the info starting with:

dxvk.hud =

After '=', add what you want to see. So 'version' (without quotes) shows the DXVK version. dxvk.hud = version

You could just add the fps by adding 'fps' instead of 'version' if you want.

The DXVK Github page lists all the information you could add to the HUD. It accepts a comma-separated list for multiple options:

devinfo: Displays the name of the GPU and the driver version.

fps: Shows the current frame rate.

frametimes: Shows a frame time graph.

submissions: Shows the number of command buffers submitted per frame.

drawcalls: Shows the number of draw calls and render passes per frame.

pipelines: Shows the total number of graphics and compute pipelines.

descriptors: Shows the number of descriptor pools and descriptor sets.

memory: Shows the amount of device memory allocated and used.

allocations: Shows detailed memory chunk suballocation info.

gpuload: Shows estimated GPU load. May be inaccurate.

version: Shows DXVK version.

api: Shows the D3D feature level used by the application.

cs: Shows worker thread statistics.

compiler: Shows shader compiler activity

samplers: Shows the current number of sampler pairs used [D3D9 Only]

ffshaders: Shows the current number of shaders generated from fixed function state [D3D9 Only]

swvp: Shows whether or not the device is running in software vertex processing mode [D3D9 Only]

scale=x: Scales the HUD by a factor of x (e.g. 1.5)

opacity=y: Adjusts the HUD opacity by a factor of y (e.g. 0.5, 1.0 being fully opaque).

Additionally, DXVK_HUD=1 has the same effect as DXVK_HUD=devinfo,fps, and DXVK_HUD=full enables all available HUD elements.

desiree-uk notes: The site is for the latest version of DXVK, so it shows the line typed as 'DXVK_HUD=devinfo,fps' with underscore and no spaces, but this didn't work for me. If it also doesn't work for you, try it in lowercase like this: dxvk.hud = version Make sure there is a space before and after the '=' If adding multiple HUD options, seperate them by a comma such as: dxvk.hud = fps,memory,api,version

The page also shows some other useful information regarding DXVK and it's cache file, it's worth a read. (https://github.com/doitsujin/dxvk)

My config file previously showed the DXVK version but I changed it to only show fps. Whatever it shows, it's telling you DXVK is working! DXVK version:

DXVK FPS:

The HUD is quite noticeable, but it's not too obstructive if you keep the info small. It's only when you enable the full HUD using this line: dxvk.hud = full you'll see it takes up practically half the screen! 😄 Whatever is shown, you can still interact with the screen and sims queue.

So while testing this out I noticed that the HUD wasn't showing up on the screen when launching the game via CCM and S3MO but would always show when clicking TS3W.exe. The results were consistent, with DXVK showing that it was running via TS3W.exe, the commited memory was low and steady, the fps didn't drop and there was no lag or stuttereing. I could spend longer in CAS and in game altogether, longer in my older larger save games and the RAM didn't spike as much when saving the game. Launching via CCM/S3MO, the results were sporadic, very high RAM spikes, stuttering and fps rates jumping up and down. There wasn't much difference from DXVK not being installed at all in my opinion.

You can test this out yourself, first with whatever launcher you use to start your game and then without it, clicking TS3.exe or TS3W.exe, making sure the game is running as admin. See if the HUD shows up or not and keep an eye on the memory usage with Resource Monitor running and you'll see the difference. You can delete the line from the config if you really can't stand the sight of it, but you can be sure DXVK is working when you launch the game straight from it's exe and you see smooth, steady memory usage as you play. Give it a try and add in the comments if it works for you or not and which launcher you use! 😊 Other DXVK information:

Make TS3 Run Smoother with DXVK ◀ - by @criisolate How to Use DXVK with Sims 3 ◀ - guide from @nornities and @desiree-uk

How to run The Sims 3 with DXVK & Reshade (Direct3D 9.0c) ◀ - by @heldhram

DXVK - Github ◀

[phanchester]

since there are so many data nerd phannies i decided to make a compilation of all the spreadsheets i could find - lmk if i missed any or if you want me to add any additional details <3

last updated: 30/06/24

actively updating spreadsheets

dan and phil uploads from 2021-2024

dan and phil’s upload schedule from all their channels with days and dates

amount of days in between videos in each channel

pie charts of days of the week they upload

made by @ahappydnp 

everything dan and phil related

all of dan and phil’s video links from all their channels from all their accounts (including super amazing project, snapchat, vine, tiktok and more)

all of dan and phil’s radio shows, including reuploads and playlists, as well as the dan vs phil, fan war and internet news if available for each show with misc clips and written recaps

all of dan and phil’s liveshows, including some written recaps and the app where it was originally posted

all of dan and phil’s vyous including the question they were answering

all of dan and phil’s collaborations and video features (even if they were in the background), including the channel they were originally uploaded on 

all of dan and phil’s interviews

all of dan and phil’s merch, including originally shop links and links to the phandom wiki which has further information

all of dan and phil’s professional photos as well as some fan photos, including the event, photographer and platform

the dates and statuses of each of these videos (lost, archived, unlisted or public)

made by @stillarchivingdnp

dan and phil 2024 upload stats

each of their 2024 videos with channel, upload date, upload time in uk, length, sponsor and editor/s (if applicable) with an accompanying colour-coded calendar

(for amazingphil videos) whether dan featured and (for dapg videos) whether it was gaming/talking and who tweeted it

interactive part where you can see the time period between two videos

averages, maximums and minimums for times between uploads, upload times and runtimes with accompanying graphs

percentage of videos with other editors, with pie charts for all channels and each channel

made by @dnpbeats

all or nothing: dan vs phil season 2

all of the games for season 2, with the year they played them and the results with and without all or nothing coming into play

how often all or nothing came into play and who suggested it

the general impact of all or nothing

made by @organized-chaotic-disaster

dan and phil saying “i love you”

when dan and/or phil said ily

the video and timestamp from when they said ily and whether it was prompted

pie chart of dan or phil saying ily

made by @ahappydnp

games where one of them decides the winner

date and link for each video

overall winner with the winner for each round

breakdown of the amount of times each of them have won each round and the percentage phil has won

made by @dnpbeats

dan and phil 2024 upload schedule

upload date for each video, with the day of the week and approximate time it was uploaded in cst, including the most common and second most common upload day for dapg

days between each upload, including the longest gap, shortest gap, average gap and first and second most common gap for dapg

a colour-coded calendar displaying the upload schedule for dapg and amazingphil

made by @kat-aa

completed spreadsheets

all or nothing: dan vs phil season 1 with a great accompanying document with further details and analysis of the data

all of the games they played, with the year they played them and the results with and without all or nothing coming into play

how often all or nothing came into play and who suggested it

the general impact of all or nothing

made by @organized-chaotic-disaster 

youtuber tours

(not necessarily dnp but it includes them!)

120 different tours, including the creators, names, dates, countries, links (if available) and producers (if applicable)

each tours’ venue capacity range, average and total attendance

individual tour show breakdown with city, state, country and additional notes

data on each venue’s capacity, number of tours, and which youtuber went to each venue

data on each country’s amount of shows, broken down into states and cities

made by @stillarchivingdnp 

gamingmas 2023 schedule

all gamingmas video titles from 2023

the time each video was uploaded in gmt

made by @cactuslester

spreadsheet screenshots in posts

listening trends in all or nothing

scatter graph for the correlation between track number and number of listens

analysis of the data

made by @serendipnpipity

analysis of dnp’s letterboxd ratings and movies with part 1 and part 2

(pt 1) rating distributions for all the movies they’ve rated, including details about which movies one rated higher than the other, and which movies they rated the same

(pt 1) a list of their five-star movies

(pt 1) a list of movies one logged but not the other

(pt 1) cute little misc notes about the specific movies and dates

(pt 2) ratings broken down into genre, studio and franchise with accompanying bar charts

made by @philsrosesweatshirt

views on post-hiatus dapg videos after specific time frames

i believe this is a work of progress!

video titles with the dates and months, along with details of whether they were sponsored or had external editors

view count after 24 hours, 48 hours, 1 week, 2 weeks, 3 months and 6 months

made by @goldenpinof

favourite dnp tour song statistics

years phannies started watching vs the year they joined the phandom represented in a bar graph

favourite dnp tour song in a donut pie graph and a bar graph

favourite song vs year joined represented in a bar graph

made by @serendipnpipity

terrible influence: the tour trailer video analysis

all the videos that appear in terrible influence with additional notes

the list sorted by date, view count and channel specifics

timestamps provided for each clip, both in the video and where they appear in the trailer

made by @emojackolantern