neovis.js — Graph visualizations in the browser with data from Neo4j
▻https://github.com/neo4j-contrib/neovis.js
Il me semble que cette librairie a sensiblement évolué, offrant davantage de nuances sur la mise en forme des liens (épaisseur, vignette) et permettant de décrire une visualisation simple de graphe de façon déclarative.
24 Novembre 2021
L’Afrique du sud dit à pfizer qu’elle ne veut plus de livraisons du vaccin.
26 Novembre 2021
L’OMS déclare que la variante omicrons a été découverte en Afrique du sud le 24 Novembre.
A partir du 26 Novembre 2021 de nombreux pays se précipitent pour interdire les vols et l’immigration en provenance d’Afrique du sud.
Mince alors !
Color Brewing the Perfect Storm
▻https://nightingaledvs.com/color-brewing-the-perfect-storm
Today, I describe my previous 2008 efforts to colorize a Perfect Storm data simulation while I was at the Renaissance Computing Institute at North Carolina State University...
#climate #color_theory #Data_Visualization #How_To #Tools #visualization
« Introducing Observable Plot » par Mike Bostock, 04.05.2021
▻https://observablehq.com/@observablehq/introducing-observable-plot
« We are thrilled to announce Observable Plot, a new open-source JavaScript library for exploratory data visualization.
[…] Plot is informed by ten years of maintaining D3 but does not replace it. We continue to support and develop D3, and recommend its low-level approach for bespoke explanatory visualizations and as a foundation for higher-level exploratory visualization tools.
In fact, Plot is built on D3! Observable Plot is more akin to Vega-Lite, another great tool for exploration.
We designed Plot to pair beautifully with Observable: to leverage Observable dataflow for fluid exploration and interaction. However, Plot does not depend on Observable; use it wherever you like. […] »
« GraphXR: Read, Modify, and Write Ontologies with RedisGraph »
▻https://redislabs.com/blog/graphxr-read-modify-and-write-ontologies-with-redisgraph
GraphXR, from software consultancy Kineviz, has integrated RedisGraph so you can visually edit graphs. Watch a demo of GraphXR reading, modifying, and writing ontologies visually with RedisGraph.
Zero, one, two, Freddy’s coming for you
▻https://hownot2code.com/2020/04/03/zero-one-two-freddys-coming-for-you
This post continues the series of articles, which can well be called “horrors for developers”. This time it will also touch upon a typical pattern of typos related to the usage of numbers 0, 1, 2. The language you’re writing in doesn’t really matter: it can be C, C++, C#, or #java. If you’re using … Continue reading Zero, one, two, Freddy’s coming for you
#Tips_and_tricks #ADAPTIVE_Communication_Environment_ACE_ #Asterisk #audacity #Bugs_in_C#_projects #C# #C++ #C++bugs #CMake #Coin3D #Godot_Engine #ITK #Java_bugs #libreoffice #Open_CASCADE_Technology #OpenCOLLADA #OpenCV #PDFium #programming #Quake-III-Arena #ReactOS #Trans-Proteomic_Pipeline #Visualization_Toolkit_VTK_ #xnu_kernel
►https://1.gravatar.com/avatar/a7fa0bb4ebff5650d2c83cb2596ad2aa?s=96&d=identicon&r=G
https://hownot2code.files.wordpress.com/2020/02/image1.png 
https://hownot2code.files.wordpress.com/2020/02/image2.png 
https://hownot2code.files.wordpress.com/2020/02/image3.png 
https://hownot2code.files.wordpress.com/2020/02/image4.png 
https://hownot2code.files.wordpress.com/2020/02/image5.png?w=300 
https://hownot2code.files.wordpress.com/2020/02/image6.png 
https://hownot2code.files.wordpress.com/2020/02/image7.png
« Multilayer Networks — Structure and Function » by Ginestra Bianconi, Oxford University Press, 21.06.2018, 416 Pages
▻https://global.oup.com/academic/product/multilayer-networks-9780198753919 #visualization #graph #multilayer #network
2019 Significant New Researcher Award: Wenzel Jakob / citation by ACM SIGGRAPH
▻https://www.siggraph.org/2019-significant-new-researcher-award-wenzel-jakob
« ACM SIGGRAPH is pleased to present the Significant New Researcher Award to Wenzel Jakob for his work in rendering and geometry.
Wenzel’s broad contributions to computer graphics are centered in rendering, where his work spans surfaces and volumes, path tracing and Markov Chain Monte Carlo, rendering software, and surface reflectance and appearance models. His light transport work has expanded both the problems being solved—for instance by generalizing volume scattering to anisotropic materials like textiles—and the methods for solving them—for instance by applying the differential geometry of manifolds to high dimensional structures in path space. He often applies intricate numerical methods to impressive effect, such as in reviving classical methods from atmospheric physics to solve new problems in layered surface appearance. Wenzel’s research also connects to the physical world through substantial experimental work in surface reflectance measurement and fabrication of refractive surfaces.
During his postdoc, Wenzel expanded his repertoire into the area of surface geometry, creating a highly scalable and practical method for re-meshing complex surfaces; it produces smooth, well-structured triangle and quad meshes that align to geometric features, while remaining very fast and scalable to large models.
Besides his considerable theoretical and algorithmic contributions, Wenzel also makes invaluable contributions through practical, functional software. His Mitsuba open-source renderer provides solid implementations of many difficult methods, making it a favorite testbed for rendering researchers. He has also contributed considerably to the PBRT renderer, which plays an important role in advanced instruction and as a reference implementation for production systems. His open-source field-aligned meshing software has been adopted in multiple practical applications. He is leading by example in helping to move our field towards viewing solid, practical implementations as an integral part of graphics research. […] »
#computerGraphics #visualizations #tesselation #autoRetopology #meshes
Does the news reflect what we die from?
The major standout here – I had to break the scale on the y-axis since it’s several orders of magnitude higher than everything else – is terrorism: it is overrepresented in the news by almost a factor of 4000.
Homicides are also very overrepresented in the news, by a factor of 31. The most underrepresented in the media are kidney disease (11-fold), heart disease (10-fold), and, perhaps surprisingly, drug overdoses (7-fold). Stroke and diabetes are the two causes most accurately represented.
▻https://ourworldindata.org/does-the-news-reflect-what-we-die-from
#data #visualization #media
Sur- ou sous-représentation des causes de mortalité
S’il y a bien une occasion où l’on peut – je dirais même où il faut – utiliser une #échelle_logarithmique, c’est bien ici. Ce sont des rapports !
(la légende de l’axe vertical écrit Factor
cela va jusqu’à affecter un signe négatif quand il s’agit du rapport inverse
10 fois plus -> +10
11 fois moins -> -11 !-)
Bizarre. Je ne trouve pas trace d’une occurrence précédente.
À ce jour, il y a 10 billets ST qui ont utilisé un lien vers le site ourworldindata.org :
▻https://seenthis.net/sites/1008241
▻https://seenthis.net/messages/784446
par @kassem le 31 mai
(en cherchant « Guardian », car je me rappelais de ça aussi)
Comment c’est passionnant !!! Encore une fois, merci @seenthis !
Visualizing Cold Starts
▻https://hackernoon.com/visualizing-cold-starts-ddb7c3267419?source=rss----3a8144eabfe3---4
I wrote a lot about cold starts of #serverless functions. The articles are full of charts and numbers which are hopefully useful but might be hard to internalize. I decided to come up with a way to represent colds starts visually.I created HTTP functions that serve geographic maps (map credit Open Street Map). The map is a combination of small square tiles; each tile is 256 by 256 pixels. My selected map view consists of 12 tiles, so 12 requests are made to the serverless function to load a single view.During each experiment, I load the map and then zoom-in three times. The very first view hits the function in a cold state. Subsequently, the zoomed views are loaded from the warm function. There is a timer next to the map which shows the total time elapsed since the beginning until the (...)
(Part 2) What You Didn’t Know About Crypto Index Funds
▻https://hackernoon.com/what-you-didnt-know-about-crypto-index-funds-part-2-352c50a05805?source=
What You Didn’t Know About Crypto Index Funds— Part 2Introducing a new way to look at crypto index funds and visualize and compare asset performance.This is part 2 to this other post. Enjoy!When comparing the performance of two assets, it’s common to plot their cumulative returns between a certain date X and another date Y to see which one performed better. But this only tells us about a small part of the story, and maybe a biased one. See the following two plots, comparing Apple to Microsoft.We could write two completely different stories depending on which plot we choose. That’s because they are totally dependent on the start and the ending dates we choose, and it’d be very easy to cherrypick them to make the data fit our narrative.Even if we’re not trying to deceive anyone, if we do (...)
#visualization #fund #cryptocurrency #investing #index-funds
9 Ways Videos Build Customer Loyalty and #retention
▻https://hackernoon.com/9-ways-videos-build-customer-loyalty-and-retention-7e4e8828516?source=rs
Guess what? Video advertising is here, and it’s here to stay.In the recent years, the landscape of video marketing has skyrocketed. This year, however, has transformed promotional video from a simple marketing tactic to a full-blown business strategy.What makes videos so increasingly efficient in advertisements? On one hand, video can show your audience, instead of just “tell” them what you are all about. On the other hand, customers want to see products in action.Let’s look at some video stats:80% of all internet traffic will be video by 2019.63% of businesses have started using video content marketing, where as 82% of them view video marketing as an important part of their marketing strategy.50% of consumers want to see videos from brands, more than any other type of content.70% of (...)
#visualization #sales #video-marketing #marketing-strategies
The Best #data Visualizations for Grabbing Readers’ Attention
▻https://hackernoon.com/the-best-data-visualizations-for-grabbing-readers-attention-19dec3b8fc9?
Data #visualization is the creation and study of the visual representation of data in a visual context, like a chart or a map. It helps understand the significance of that data.Data visualization can be static or interactive.The static visualization is commonly seen as infographic posted on the web or printed as handouts. It is usually focused on a specific data story. The users can’t go beyond a single view to explore additional stories.The interactive data visualization can encourage engagement with the data in ways that static images cannot. Some visualizations can make exploring data feel more like playing a game.Ready to feel inspired?In this article, we’re going to highlight some of the most powerful and engaging interactive visualizations out there. We’ll look at our favorite (...)
#data-visualization #creative-data #best-data-visualizations
OSMvis - #OpenStreetMap #Visualizations
▻https://osm-vis.geog.uni-heidelberg.de
OSMvis is a collection of visualizations related to OpenStreetMap (#OSM), in particular the OSM database, the OSM wiki, and the use of OSM data in general. OSMvis aims at exploring the generation, modification, and use of OSM by the methods of information visualization.
How do I know which model to choose for my machine learning problem?
▻https://hackernoon.com/how-do-i-know-which-model-to-choose-for-my-machine-learning-problem-b2e3
“Data are becoming the new raw material of business.”Hello friends, today I am going to tell you the way by just seeing the #dataset how would you know which model I have to choose.So, let’s get started ….!What is Data-set?A data set (or data-set) is a collection of data. Most commonly a data set corresponds to the contents of a single database table, or a single statistical data matrix, where every column of the table represents a particular variable, and each row corresponds to a given member of the data set in question.Let’s see some data-set which is in the form of a .csv file.Jupyter NotebookAssume we have to work on this data-set in which many columns and rows are there. Your first step is to identify your Independent and Dependent Variable in the data-set.A dependent variable(generally (...)
Visualizing Linear Regression with #pytorch
▻https://hackernoon.com/visualizing-linear-regression-with-pytorch-9261f49edb09?source=rss----3a
Linear regression is a common machine learning technique that predicts a real-valued output using a weighted linear combination of one or more input values.For instance, the sale price of a house can often be estimated using a linear combination of features such as area, number of bedrooms, number of floors, date of construction etc. Mathematically, it can be expressed using the following equation:house_price = w1 area + w2 n_bedrooms + w3 n_floors + ... + w_n age_in_years + bThe “learning” part of linear regression is to figure out a set of weights w1, w2, w3, ... w_n, b that leads to good predictions. This is done by looking at lots of examples one by one (or in batches) and adjusting the weights slightly each time to make better predictions, using an optimization technique (...)
How To Maintain Motivation While Working Toward Your Ultimate Goals
▻https://hackernoon.com/how-to-maintain-motivation-while-working-toward-your-ultimate-goals-4373
People are bold when they talk about their “ultimate” goals.“Cure cancer.”“Organize the world’s information.”“Stop terrorism.”These are big goals. Huge. Daunting. But the road to achieving them is made up of thousands of smaller steps.We tend to focus on where we are now and what we can achieve today.But for the long-term, the pace of progress (the compounding rate) matters much more than the starting point.Here’s how to up your pace and stay motivated in the long run:Optimizing your growth rate requires a system.To see the overall system — from the big picture all the way to the individual minute-to-minute steps — I look to physics.There’s a concept known as a fractal. It’s a mathematical way of modeling structures where the overall whole pattern is made up endless similar patterns at increasingly smaller (...)
#fractals #self-improvement #visualization #goal-setting #long-term-thinking
THIS ISRAELI PRESENTATION ON HOW TO MAKE DRONE STRIKES MORE “EFFICIENT” DISTURBED ITS AUDIENCE
▻https://theintercept.com/2017/12/05/drone-strikes-israel-us-military-isvis
RESEARCH BACKED BY the U.S. and Israeli military scandalized a conference near Tel Aviv earlier this year after a presentation showed how the findings would help drone operators more easily locate people — including targets — fleeing their strikes and better navigate areas rendered unrecognizable by prior destruction.
The doctoral student who presented the research demonstrated how pioneering data visualization techniques could show a drone operator, using lines and arrows of varying thickness, which direction fast-moving people and vehicles were most likely to travel, for example, at an intersection or while fleeing a building. The presentation clearly angered at least some of the crowd, including the moderator, prompting hostile questions.
“The guy’s talk (and its video documentation) revealed much of what’s very wrong about UAV warfare,” said Mushon Zer-Aviv, a web designer and activist and an organizer of the conference, the data visualization confab known as ISVIS.
The incident at ISVIS underscores the extent to which drone warfare’s deeply technological basis and inhumanity has become a major part of global public debate around its use. Once viewed (and still promoted) as an efficient, safer way to target terrorists, the growing ubiquity of lethal drone strikes in global hotspots is increasingly seen as helping to create wastelands and fomenting the sort of terroristic support it’s designed to eradicate.
The presenter of the drone material, Yuval Zak, told the Intercept he was surprised by the audience reaction and hostile questioning after his presentation. “The conversation changed from dealing with visualization and improving information presentation on a … map to a discussion about the ethical issues of using drones,” he wrote in an email. “But the focus of the conference and my paper is entirely different.” The technology he presented could just as easily be used for policing and search and rescue as for drone strikes, he said — any time-critical scenario involving a map.
#data_visualization #visualization
#neutralité_de_la_technique
Ben qu’est-ce qu’ils ont tous à m’engueuler ?
Bon, c’est vraiment une crapule, ce mec : sur la vidéo de sa conférence (1:29, je n’ai vu que ça…)
Objectives
• this study is part of a research collaboration between Ben-Gurion University, US Army RDECOM AMRDEC and the Israeli Minister of Defence.
• main goal : improve efficiency of UAS-based mission preparation and execution.
• the study focuses on urban warfare.
▻https://www.youtube.com/watch?v=R2mov9dBfSY
EDIT : La discussion (à partir de 8:40) n’a pas l’air si houleuse que ça. Bon, c’est juste une impression parce que c’est de l’hébreu non sous-titré (l’une des questions parle de predictive policy pourrait être critique, mais l’ensemble est sur le ton de la question classique en fin de conf’)
Data Viz Project | Collection of #data #visualizations to get inspired and finding the right type.
This is a website trying to present all relevant data visualizations, so you can find the right visualization and get inspiration on how to do it. It started out as an internal tool box, where we simply sticked data visualizations on our wall as virtual inspiration. Sure, there’s a lot of books, websites, libraries, tools that include a lot of visualization types, but not as comprehensive and logical as we liked. So instead of keep sticking these visualizations on our wall, we thought we might as well just put it online, so you and others can use it as a tool and inspiration.
Encartopedia
▻http://encartopedia.fastforwardlabs.com
▻http://blog.fastforwardlabs.com/2017/08/15/encartopedia.html
I used #machine_learning techniques and #visualization to explore new navigation possibilities for Wikipedia while preserving its hypertextual feel. With Encartopedia, you can map the path of any journey through Wikipedia, or use the visualization to jump to articles near and far.
#text_mining #proximité #cartographie_de_n'importe_quoi #hypertexte
(assez proche de ce que je fais avec #tSNE)
The Pudding | Polygraph
►https://pudding.cool
The Pudding is a journal of visual essays. It’s a new publication from Polygraph, a collective specializing in visualization.
What is a visual essay? Imagine a New Yorker-esque longread about a complex topic, yet instead of dense prose, code, data, and animation are used to construct a different sort of story. It’s one that’s reader-driven, explorable, and embeddable into other websites.
#data_journalism #visualization #écrire
▻https://medium.com/@matthew_daniels/the-journalist-engineer-c9c1a72b993f
#visualisation (avec un s sinon je le retrouverai pas...)
La #population néerlandaise. Un point = une personne !
https://www.cbs.nl/-/media/_afbeeldingen/2017/02/dotmap2.png?la=nl-nl&hash=C718DF78BEB695A35DC78647ADD32C9AF4553B86#.png 
https://www.cbs.nl/-/media/_afbeeldingen/2017/02/dotmap1.png?la=nl-nl&h=450&w=900&hash=CA5C1FCF20369C481385CD598B110C13F4262CD6#.png il faut zoomer pour le voir :
Herkomst Dot Map
▻http://research.cbs.nl/colordotmap/NL/index.html
explications ici (en néerlandais)
▻https://www.cbs.nl/nl-nl/onze-diensten/innovatie/project/cbs-experimenteert-met-dotmaps
(dans le même ordre d’idées)
Responsive Data Vis
▻http://nrabinowitz.github.io/rdv
This is a small prototype of an approach to #responsive #data #visualization, using D3.js and a mini-library called rdv. The basic concept is to construct a visualization as a collection of features, then turn those features on and off based on the ratio of points to pixels.
réalisé par l’Insee local, le Centraal Bureau voor de Statistiek (CBS)
il faut zoomer pour le voir :
Et le croire.
on discute avec @severo de faire une carte mondiale sur ce principe, en incluant les données disponibles comme par exemple
– pour l’Inde ▻https://seenthis.net/messages/561805
– quand on se sait pas grand chose, extrapoler à partir de ►https://visionscarto.net/implantation-humaine
Bizarre illustration of the day: Saturn V fuel consumption visualized as elephants
▻http://i.imgur.com/tDdQmeY.gifv
#space #visualization #illustration #rockets
How many live elephants must be burned to power a Saturn V rocket’s first stage ?
▻https://www.reddit.com/r/space/comments/4bepil/saturn_v_fuel_consumption_in_elephants/d18skwn
juba/scatterD3
▻https://github.com/juba/scatterD3
scatterD3 is an HTML #R widget for interactive scatterplots #visualization. It is based on the htmlwidgets R package and on the #d3.js javascript library.
Une extension R pour des nuages de points « interactifs ».
