#data visualisation

[dkettchen]

SHIP STATS #1 -all unique ranked characters/ships/fandoms in AO3 2013-2023 data sets - diagrams mega post-

(original data by AO3 user @ centreoftheselights, cleaned/completed/visualised by ME (check my github for more details & methodology/why I labelled things the way I did))

Overview

A total of 922 characters across 600 unique ships made the AO3 rankings between 2013 and 2023.

Fandom Market Share

These are the fandoms that accounted for the most ships:

Marvel had 33 ships, followed by Youtube with 24 and the Harry Potter Universe with 21.

RPF

13% of total ships were Real Person Fic while 87% were of fictional characters.

Hottest Characters

These are the characters who were in the most ships in their fandom (with a minimum of 3 ships to qualify):

Minecraft youtuber TommyInnit leads overall with 8 ships (out of 24 Youtube ships), followed by Tony Stark with 7 (out of 33 Marvel ships), and Sam Winchester from Supernatural and The Doctor from Doctor Who with 6 respectively.

((gender & race stats under the cut! :)))

Gender statistics

Characters

This is the overall gender distribution:

It is currently scewed by the fact that one of out usually 3 rankings each year is exclusively femslash, inflating the number of female characters in the overall set. This number will be decimated once we look at the actual co-ed, yearly rankings. However even with these inflated numbers, male characters still solidly outnumber female ones.

These are the numbers for any gender tags other than straight up "M" and "F":

"M | Other" was represented by exactly 5 characters/people. All of the fictional ones are some variety of deity or otherwise celestial being. All but one of "F | Other" were (alien) Gem characters from Steven Universe.

The only two unaligned nonbinary characters in the set are the canon nonbinary character from Owl House, and the Venom Symbiote. (Yes, the goop. The Venom goop.) All of the drag queens represented explicitly use she/her in drag and he/him (x3) or he/they (x1) out of drag (at time of data collection).

All of these are out-numbered by ambiguously-gendered self-insert characters like player characters and "x Reader".

There are no (binary(-aligned) or explicitly medically) trans characters in the set, as (as far as I can find on the wiki) the Owl House nonbinary one does not have in-universe transition portrayed or birth assignment specified (they are voiced by transmasc nonbinary actors). This is in spite of canon trans characters and real life trans people, who didn't make the ranking, existing in the fandoms represented, like in DC's Supergirl, My Hero Academia, RuPaul's Drag Race, One Piece, Marvel Comics, Heartstopper, etc. There are no explicitly intersex characters/people represented either (as far as I'm aware).

Ships Overview

As for ship gender combinations, men loving men outnumbers any other type, even with the inclusion of, again, one whole ranking (of the three total) per year with ONLY women loving women ships:

Straight ships are outnumbered by both same-sex categories, although, once again, I expect this to change once we look at the co-ed rankings without the femslash bump, with straight ships likely out-numbering wlw ships there.

Taking out straight up mlm, wlw, and het ships, these combinations are left:

Although there are less "M | Other" characters than "F | Other", they account for almost the same amount of ships as each other, likely due to the male-aligned characters/people not being shipped with each other (like the Crystal Gems) and spanning more fandoms (5 rather than 2), leading to a wider spread of ships.

Our "Other" characters are shipped with characters of opposite genders, providing balance to their (small) contribution. The singular canon-nonbinary non-goop character is shipped with their canon ex-partner.

In the ambiguous stack, the vast majority is men (and male-aligned folks) being shipped with ambiguous characters (ie self-inserts).

Ships per fandom

This is the average number of ships of the given type per fandom:

These are the fandoms with the most ships of the given type:

Marvel (as the fandom with the most ships) has ranked second for all of them. Youtube is the fandom with the most mlm ships, as the only woman that made it into its 24 ships is the real life wife of the guy she's being shipped with.

This chart shows the number of fandoms that either do not contain any ships of this type, consist exclusively of ships of this type, or where over half of the fandom's ships are of this type.

The only two (2) fandoms (with multiple ship types) that have more than 50% straight ships are Game of Thrones and Doctor Who, so congrats to them on having the best-written hets and the least homoeroticism in media apparently. 👏

Race statistics

Characters

This is the total distribution of racial groups among the characters:

White folks vastly outnumber any other racial group. East asians are the next-biggest portion, followed by ambiguous and non-human characters.

These are the smaller groups without the white, east asian, and un-specified or non-human chunks:

Latin folks make up the largest portion, followed by black folks. All other groups have less than 15 characters in the entire (922 character) set. There are more indigenous folks in the set than there are south asians.

Ships

This chart shows the number of ships with at least one white person, with at least one east asian person, non-white ships, and ships without white or east asian people:

I call the last one of those "The Big Oof" as there were only 12 ships (out of the 600 total) that didn't contain any white or east asian people.

This is the ratio of interracial, non-interracial and ambiguous ships:

Most ships are explicitly between people of the same racial group.

Fandoms

These last two diagrams show the amount of racial groups per fandom.

The first one shows how many fandoms only have one racial group and how many have multiple:

It is more balanced than the interracial figure, pointing to there being a number of fandoms where there are multiple racial groups overall but several characters are only being shipped with characters of their own group.

The second diagram shows the fandoms with the highest number of different racial groups:

Marvel once again leads with 8 groups (due to its overall higher numbers of characters/ships). It is followed by The 100 and DC tied for second with 7 groups each, and Star Wars in third with 6. Teen Wolf and Genshin Impact follow in fourth with 5 groups respectively. All other fandoms had less than 5 racial groups represented.

THANKS FOR READING, STAY TUNED FOR MORE DIAGRAMS ONCE I'M DONE WITH THE RANKING STATS WOOOO

[amheng-osa]

I have been working on a THREE project recently as I wanted to start getting to know the framework. To this end, I decided on a data visualisation project and found some interesting open source, global scientific data online. In this render, I'm displaying long-term monthly mean precipitation data over the globe.

The data is in a NetCDF file and I wrote a Python script in order to parse this at a grid resolution I was happy with (1x1 degree grid) and output the data in a JSON format that is easy to parse in my JavaScript code.

I'm quite happy with the colour variation of the data points which makes it easy to differentiate between different data magnitudes, and of course the heights of data markers helps too.

For the minimum and maximum markers, I rendered the text to a texture on the fly using a 2D HTML5 canvas and then applied this to the surfaces. You can't see it here since it's a static render, but I wrote a simple little fragment shader which gives a little intermittent shine moving across the surface quickly (the kind you might see on some buttons on a website that is for making a purchase: it gives it a kind of "expensive" feel).

Everything in the scene has custom shaders for it as for me it would defeat the purpose if I just let THREE, for example, map the world texture onto the sphere on my behalf. It's good to try to do all these things yourself in order to practise. After all, that's how you get better at things.

The sphere fragment shader uses the surface normal to derive the polar coordinates and normalises them to the interval [0, 1] and then samples from the texture. I found that in order for it to be the right way up and also not mirrored right-to-left, I had to subtract the normalised angles from 1. I also added a simple lighting effect that you start to see as the surface normal becomes more perpendicular to the vector towards the camera position. It's simple little things like this that can really add a lot visually, I think.

For the background, I simply added a plane and fiddled around with the right values until I got a nice glow effect around the sphere based on distance from the origin. I also then applied some simple modulation to the final colour by doing colour * (exp(-0.75 * abs(Y_VALUE))); Using this (without the abs and a larger value, and subtracting from 1) is often used to add a fog effect to the background.

Overall, I'm happy with the progress and it's been a fun little project to get used to using THREE.js. I think the final thing (at least that I can think of for now) will be to add, within the 3D scene, an information button. On clicking this, the camera can rotate around to a large surface (the same style as those for the minimum and maximum values on the globe) which will contain detailed information on the data used. An arrow button will be visible at that point to rotate back around. I think this is a really good demonstration of how we can achieve some powerful, pretty results with just little, simple building blocks.

[powerbisolutions-blog]

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[graphaizesmm]

India’s Top Valued Quick Commerce Brands: Leaders in Instant Delivery

Most Valued Quick Commerce Brands in India: Who’s Leading the Game?

Quick commerce is rapidly becoming the new normal in India’s grocery shopping landscape. As the demand for ultra-fast delivery services grows, several players have emerged as key contenders in this space. In fact, 31% of urban Indians now use quick commerce for their primary grocery shopping, while 39% rely on it for top-ups. This trend has given rise to intense competition among quick commerce brands, with a few emerging as leaders. Let’s take a closer look at India’s top valued quick commerce brands and how they’ve positioned themselves in this booming market.

The Dominant Players in India’s Quick Commerce Market

When we talk about quick commerce in India, three names come up repeatedly: Blinkit, Swiggy Instamart, and Zepto. These brands have become synonymous with fast, reliable grocery deliveries, and each has carved out a unique position in this competitive market.

Blinkit: The Market Leader

Blinkit, backed by Zomato, with 39% market share, has taken a commanding lead in India’s quick commerce space. Originally known as Grofers, Blinkit rebranded itself and shifted focus to deliver groceries and essentials within minutes. The company’s massive infrastructure, efficient delivery systems, and strong funding from Zomato have given it a significant edge over competitors.

Blinkit’s ability to fulfill customer orders in under 10-15 minutes has become its biggest selling point. As convenience becomes more critical for urban shoppers, Blinkit continues to dominate by improving its delivery speeds and expanding its network of dark stores (localized warehouses for quick delivery). Today, Blinkit is synonymous with quick grocery shopping in major Indian cities.

Swiggy Instamart: Leveraging a Massive Customer Base

Swiggy Instamart, Swiggy’s grocery delivery arm, has emerged as a serious player in the quick commerce market. The main rival of zomato commands a whooping 37% of the market share. What sets Instamart apart is its ability to tap into Swiggy’s massive customer base, built over years of being one of the leading food delivery platforms in India. With its established network, Swiggy Instamart has been able to quickly scale operations, offering a wide variety of grocery items that can be delivered in under 30 minutes.

Instamart has focused heavily on improving distribution, leveraging Swiggy’s expertise in logistics to make rapid deliveries possible. As a result, it has become a preferred option for many urban customers looking for convenience and speed.

Zepto: The Fast-Moving Challenger

Despite entering the market later than its competitors, Zepto has quickly risen to the forefront, leaving behind more established players like Dunzo and BigBasket in the quick commerce space. Zepto with a market share of 20%, has built its reputation on delivering groceries in under 10 minutes, a feat that has resonated strongly with younger, urban customers. This focus on ultra-fast deliveries has allowed Zepto to capture significant market share, even in a crowded space.

One of Zepto’s strategies has been to focus on smaller basket sizes but higher frequency of orders, catering to customers who need quick top-ups rather than bulk grocery orders. This has helped the brand stay nimble and scale rapidly in key metropolitan areas.

Why These Brands Are Thriving

What makes these three brands stand out from the crowd? The answer lies in their ability to scale rapidly, streamline logistics, and meet the growing demand for ultra-fast deliveries. Each brand has its strengths: Blinkit’s market leadership and Zomato backing, Instamart’s access to Swiggy’s user base, and Zepto’s promise of lightning-fast deliveries.

The Indian quick commerce market is still in its early stages, but these brands have already established a strong foothold. Their ability to adapt to customer needs, invest in infrastructure, and innovate in delivery times will likely keep them at the top of the game for years to come.

The Future of Quick Commerce in India

As India’s top valued quick commerce brands continue to evolve, the market shows no signs of slowing down. With more urban Indians relying on quick commerce for both primary grocery shopping and top-ups, the demand for ultra-fast delivery services will only grow. The competition will get fiercer, but Blinkit, Swiggy Instamart, and Zepto have already demonstrated their ability to thrive in this environment.

In the future, we can expect even faster deliveries, broader product offerings, and more localized solutions as these brands look to solidify their positions and expand into new markets. Quick commerce is here to stay, and India’s urban consumers are more than ready for it.

[cavillionlearning]

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[librotheque]

Ce site aussi intrigant qu’étonnant propose une cartographie des genres musicaux présents sur la plateforme Spotify. Imaginé par un ingénieur informatique Glenn McDonald, développeur de Spotify, un nuage de 6282 genres musicaux se déploie sur la page web. Chaque étiquette correspondant à un genre permet d’accéder à un extrait de quelques secondes pour en découvrir la couleur musicale.

L’exploration est possible aussi à partir d’une liste (choisir le menu « list ») qui permet de rebondir vers des playlists de différents artistes se rapportant à un genre précis.

Bref, c’est un peu labyrinthique, complètement hypnotisant et captivant, très intéressant et parfaitement fou !

Dépaysement et découverte garantis !

Bibliothèque des Côtes d'Armor

[solomon-vineeth]

100+ Looker Studio Templates of 2024

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NOTE: You need to have a free trial or basic plan of Two Minute Reports for the below step. To use these Templates click here -> choose your Template -> Click on use Template, add your data source and query -> start using your Template. To use it Free: Click here -> choose your template -> click edit -> make a copy -> and use your own data source from Google Sheets or 3 rd party tools.

[garymdm]

The Twelve Days of Data Analysis

Introduction Setting the Stage: Unveiling the Twelve Days of Data Analysis Embarking on a transformative journey through the world of data analysis, we’re about to uncover the intricacies and profound impact of data-driven methodologies. These twelve “days” are a testament to the power, versatility, and depth of understanding that data analysis offers in today’s dynamic landscape. Exploring…

[dkettchen]

not the diagrams I was planning on starting with but I animated these ones that I'm working on atm so

[dctinc1]

"Enabling Growth through Digital Transformation Services"

Enabling Growth through Digital Transformation Services" focuses on the journey of organizations as they embrace digital transformation. It highlights the importance of a well-defined strategy and effective execution in driving growth and success through the adoption of digital transformation services.

[pilog-group]

How to Optimize Data Management for a Seamless Digital Transformation and ERP Implementation?

Digital transformation and ERP (Enterprise Resource Planning) strategies have become pivotal for businesses aiming to stay competitive in today’s fast-evolving landscape. At the core of these strategies lies data management — a critical aspect that ensures accurate, reliable, and actionable insights for decision-making.

Watch this comprehensive video on starting data management in your ERP strategy for an in-depth understanding.

If you’re wondering how to start data management in your digital transformation and ERP strategy, this guide provides actionable steps to help you begin your journey effectively.

Why Data Management is Crucial in Digital Transformation

Before diving into the “how,” it’s essential to understand the “why.” Here’s why data management is indispensable:

Data as the Backbone of ERP Systems: ERP systems thrive on clean, structured, and well-organized data. Without proper data management, the efficiency of ERP systems diminishes.

Informed Decision-Making: Reliable data leads to better analytics, which fuels strategic decisions.

Cost Optimization: Effective data management reduces redundancies, eliminates errors, and cuts costs in operations.

5 Steps to Start Data Management in Your Digital Transformation Journey

1. Assess Your Current Data Landscape

Before implementing any strategy, audit your current data repositories. Identify duplicate, incomplete, or irrelevant data that might be affecting your systems.

2. Define Your Data Governance Framework

A strong governance framework ensures consistency and accountability. This includes setting rules for data collection, usage, storage, and security.

3. Choose the Right Tools and Technologies

Invest in master data management (MDM) tools that integrate seamlessly with your ERP system. These tools enable:

Centralized data storage

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4. Involve Key Stakeholders

Data management isn’t an IT-only responsibility. Include leaders from finance, operations, and supply chain departments to ensure holistic alignment.

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How ERP Systems and Data Management Work Hand-in-Hand

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Starting your data management journey may seem daunting, but with the right approach and resources, it can transform your digital transformation and ERP strategy into a powerful business enabler.

To gain deeper insights and actionable advice on this topic, make sure to watch this detailed video here.

Take the first step today — because the future of your business depends on how well you manage your data today!

[yourdreamilymassivebouquetthings]

Hi Friends,

Tableau is a trending BI tool in current job market which allows us to convert data into pictorial representation. To know more about it, please check out this tutorial. It helps you to understand what Tableau is , how and where it can be used. How easy it is to plug in and use this tool for your analysis and get business insights in few minutes.

Don't forget to like , share and subscribe. Thanks for watching. Have a nice day :)

[graphaizesmm]

India’s Top Valued Quick Commerce Brands: Leaders in Instant Delivery

Most Valued Quick Commerce Brands in India: Who’s Leading the Game?

Quick commerce is rapidly becoming the new normal in India’s grocery shopping landscape. As the demand for ultra-fast delivery services grows, several players have emerged as key contenders in this space. In fact, 31% of urban Indians now use quick commerce for their primary grocery shopping, while 39% rely on it for top-ups. This trend has given rise to intense competition among quick commerce brands, with a few emerging as leaders. Let’s take a closer look at India’s top valued quick commerce brands and how they’ve positioned themselves in this booming market.

The Dominant Players in India’s Quick Commerce Market

When we talk about quick commerce in India, three names come up repeatedly: Blinkit, Swiggy Instamart, and Zepto. These brands have become synonymous with fast, reliable grocery deliveries, and each has carved out a unique position in this competitive market.

Blinkit: The Market Leader

Blinkit, backed by Zomato, with 39% market share, has taken a commanding lead in India’s quick commerce space. Originally known as Grofers, Blinkit rebranded itself and shifted focus to deliver groceries and essentials within minutes. The company’s massive infrastructure, efficient delivery systems, and strong funding from Zomato have given it a significant edge over competitors.

Blinkit’s ability to fulfill customer orders in under 10-15 minutes has become its biggest selling point. As convenience becomes more critical for urban shoppers, Blinkit continues to dominate by improving its delivery speeds and expanding its network of dark stores (localized warehouses for quick delivery). Today, Blinkit is synonymous with quick grocery shopping in major Indian cities.

Swiggy Instamart: Leveraging a Massive Customer Base

Swiggy Instamart, Swiggy’s grocery delivery arm, has emerged as a serious player in the quick commerce market. The main rival of zomato commands a whooping 37% of the market share. What sets Instamart apart is its ability to tap into Swiggy’s massive customer base, built over years of being one of the leading food delivery platforms in India. With its established network, Swiggy Instamart has been able to quickly scale operations, offering a wide variety of grocery items that can be delivered in under 30 minutes.

Instamart has focused heavily on improving distribution, leveraging Swiggy’s expertise in logistics to make rapid deliveries possible. As a result, it has become a preferred option for many urban customers looking for convenience and speed.

Zepto: The Fast-Moving Challenger

Despite entering the market later than its competitors, Zepto has quickly risen to the forefront, leaving behind more established players like Dunzo and BigBasket in the quick commerce space. Zepto with a market share of 20%, has built its reputation on delivering groceries in under 10 minutes, a feat that has resonated strongly with younger, urban customers. This focus on ultra-fast deliveries has allowed Zepto to capture significant market share, even in a crowded space.

One of Zepto’s strategies has been to focus on smaller basket sizes but higher frequency of orders, catering to customers who need quick top-ups rather than bulk grocery orders. This has helped the brand stay nimble and scale rapidly in key metropolitan areas.

Why These Brands Are Thriving

What makes these three brands stand out from the crowd? The answer lies in their ability to scale rapidly, streamline logistics, and meet the growing demand for ultra-fast deliveries. Each brand has its strengths: Blinkit’s market leadership and Zomato backing, Instamart’s access to Swiggy’s user base, and Zepto’s promise of lightning-fast deliveries.

The Indian quick commerce market is still in its early stages, but these brands have already established a strong foothold. Their ability to adapt to customer needs, invest in infrastructure, and innovate in delivery times will likely keep them at the top of the game for years to come.

The Future of Quick Commerce in India

As India’s top valued quick commerce brands continue to evolve, the market shows no signs of slowing down. With more urban Indians relying on quick commerce for both primary grocery shopping and top-ups, the demand for ultra-fast delivery services will only grow. The competition will get fiercer, but Blinkit, Swiggy Instamart, and Zepto have already demonstrated their ability to thrive in this environment.

In the future, we can expect even faster deliveries, broader product offerings, and more localized solutions as these brands look to solidify their positions and expand into new markets. Quick commerce is here to stay, and India’s urban consumers are more than ready for it.

[cavillionlearning]

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[garymdm]

From Data to Information: The Art of Data Management

Introduction Information should be a valuable asset that fuels decision-making, innovation, and growth. Yet, data, in its raw form, is often chaotic, overwhelming, and difficult to harness. It’s the role of data management to bridge the gap between raw data and meaningful information, transforming it into actionable insights. In this blog post, we’ll explore the intricate process of turning data…