{"id":303,"date":"2021-11-04T17:09:45","date_gmt":"2021-11-04T17:09:45","guid":{"rendered":"http:\/\/news.1ntel.fr\/index.php\/visual\/"},"modified":"2023-11-19T17:06:27","modified_gmt":"2023-11-19T17:06:27","slug":"visual","status":"publish","type":"page","link":"https:\/\/news.1ntel.fr\/index.php\/digital-tableau-de-bord\/visual\/","title":{"rendered":"Visual"},"content":{"rendered":"

Visual<\/h3>\r\n
Cet outil IA de Google peut maintenant cr\u00e9er des cartes heuristiques, et on adore<\/a><\/div>\n

Par\u00a0Na\u00efm Bada, Sp\u00e9cialiste logiciel.Publi\u00e9 le 20 mars 2025 \u00e0 07h50NotebookLM franchit une nouvelle \u00e9tape avec sa fonctionnalit\u00e9 de cartes heuristiques qui transforme la visualisation des connaissances. L'assistant de recherche de Google, d\u00e9j\u00e0 adul\u00e9 par le PDG de NVIDIA, devient ainsi encore plus pertinent pour les \u00e9tudiants et professionnels confront\u00e9s \u00e0 de grandes quantit\u00e9s d'informations.NotebookLM se bonifie ! \u00a9\u00a0Clubic, g\u00e9n\u00e9r\u00e9e par intelligence artificielleLanc\u00e9 initialement comme un simple \u00ab projet 20% \u00bb chez Google, NotebookLM s'est impos\u00e9 comme l'un des outils d'intelligence artificielle les plus utiles de la firme de Mountain View, avant que son chatbot (Gemini) ne gagne ses lettres de\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Mapping Population Growth By Region (1900-2050F)<\/a><\/div>\n
\"Mapping<\/a>\n

Mapping Population Growth By Region (1900-2050F) In fewer than 50 years, the world population has doubled in size, jumping from 4 to 8 billion. In this visualization, Visual Capitalist's Marcus Lu maps the populations of major regions at three different points in time: 1900, 2000, and 2050 (forecasted). Figures come from\u00a0Our World in Data\u00a0as of March 2023, using the United Nations medium-fertility scenario. Population by Continent (1900-2050F) Asia was the biggest driver of global population growth over the course of the 20th century. In fact, the continent\u2019s population grew by 2.8 billion people from 1900 to 2000, compared to just\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Breaking down the coolest Data Visualization!<\/a><\/div>\n
\"Breaking<\/a>\n

Data Visualizations are the best ways to get a feel for your data. In any data scientist\u2019s or data analyst\u2019s work, they predominantly own the EDA processes and crunch data in a way like no other process does. They go from the most basic bar plots to kernel density estimation plots (don\u2019t bother what they mean) and can decode any patterns, outliers, details, etc. about your data.With software like Tableau, PowerBI, Qlikview, and the capabilities of programming languages like Python and R in terms of Data Visualisation, the possibilities are unimaginable.Before we dive into the article, I want you to\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Data Visualization\/\/ DataViz, Presenting Symbiotic Relationships between Data, Communicative\u2026<\/a><\/div>\n
\"Data<\/a>\n

Questioning Data Visualization as a conceptIn it\u2019s essence, Data Visualization is as abrupt and abstract as the word means in layman terms. Visualizing massive amounts of raw or processed \/\/filtered data. But Data Visualization \/\/ DataViz is as useful as to correctly pronounce the word croissant to a non-french speaking person, it could sound horribly wrong, at best sounding comical but if you mispronounce the word in some parts of the world it could mean a catastrophe to your initial social interactions and might consequently affect your confidence afterwards.After forgiving the absurd sense of rhetorical humor the situation basically suggest\u2026 […]<\/a><\/p><\/div><\/div><\/div>

\u00c9volution : la plupart des arbres du vivant serait erron\u00e9e, r\u00e9v\u00e8le une \u00e9tude<\/a><\/div>\n
\"\u00c9volution<\/a>\n

L\u2019 \u00e9volution des \u00eatres vivants sur Terre pourrait \u00eatre bien diff\u00e9rente de ce que l\u2019on apprend dans les bouquins de biologie. C\u2019est du moins ce qu\u2019avance une \u00e9tude r\u00e9alis\u00e9e par le Milner Center for \u00c9volution de l\u2019Universit\u00e9 de Bath (Royaume-Uni). Selon ces chercheurs, l\u2019erreur a \u00e9t\u00e9 de classer les animaux selon leurs ressemblances physiques. Pour eux, il faudrait plut\u00f4t les regrouper selon leur g\u00e9n\u00e9tique. Un crit\u00e8re de classification devenu possible avec le d\u00e9veloppement des technologies de s\u00e9quen\u00e7age g\u00e9n\u00e9tique. En observant les similarit\u00e9s g\u00e9n\u00e9tiques, on se rend compte que certaines esp\u00e8ces qu\u2019on pensait li\u00e9es appartiennent en fait \u00e0 des banches compl\u00e8tement\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Finding Patterns in Visualized Data by Adding Redundant Visual Information. (arXiv … – all AI news<\/a><\/div>\n

information to facilitate the detection of specific, generally described patterns in line-charts during the visual exploration of the charts. We […]<\/a><\/p><\/div><\/div><\/div>

Podcast: La pens\u00e9e visuelle en \u00e9bullition, l'\u00e9pisode 3 \u00e0 \u00e9couter!<\/a><\/div>\n
\"Podcast:<\/a>\n

\u00a0J'avais d\u00e9j\u00e0 parl\u00e9 ici du podcast "La pens\u00e9e visuelle en \u00e9bullition" qui permet de prendre le pouls de la pens\u00e9e visuelle aujourd'hui, de ses divers usages et de d\u00e9couvrir les t\u00e9moignages de ses praticiens. Voici ici le troisi\u00e8me \u00e9pisode.Camille Bertaud, consultante et sketchnoteuse, \u00a0accompagne les managers autour de la question de la sensibilit\u00e9 et de l'intelligence \u00e9motionnelle dans les organisations. Elle publie une sketchnote quotidienne sur le compte Instagram "Les sketchnotes du bonheur" o\u00f9 elle partage graphiquement une \u00e9motion ressentie au cours de la journ\u00e9e.Jeanne Dobriansky est facilitatrice visuelle. Elle a introduit la notion du corps dans ses accompagnements. Elle\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Datavisualisation et UX : quand la dataviz rencontre l\u2019UX Design !<\/a><\/div>\n
\"Datavisualisation<\/a>\n

Image \u00e0 la une : Alien Pixels \u2013 Dribbble Nous avons d\u00e9j\u00e0 tous pass\u00e9 des heures \u00e0 analyser des donn\u00e9es \u00e0 partir de tableaux Excel interminables et complexes. La data visualisation (ou \u00ab dataviz \u00bb pour les initi\u00e9s) est une r\u00e9ponse pour donner aux informations qui nous entourent une forme plus compr\u00e9hensible et famili\u00e8re. En utilisant les outils que sont la couleur, le contraste, l\u2019all\u00e9gorie\u2026 ; elle nous rend la donn\u00e9e accessible et lui donne une force \u00e9motionnelle. Elle est donc d\u2019une grande aide pour la cr\u00e9ation d\u2019interfaces ; les rendant lisibles, cr\u00e9atives et originales. Mais pour ce faire, une\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Introducing \u201cviews\u201d on Quabbly<\/a><\/div>\n
\"Introducing<\/a>\n

When managing workflow processes, it is important for you to use data visualization tools to analyze the massive amounts of information you receive to enable you to make data-driven decisions. A pivotal aspect of data visualization is using graphics, plots, and other tools to make information easy to understand and communicate.According to Inc.com, approximately 65 percent of the world\u2019s population are visual learners, hence the likelihood of having a decent amount of them in your organization is high. Visual learners are often called spatial learners and, unsurprisingly, learn and remember best through visual communication.Thereore, visual presentation of data and information\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Interactive visualization of a list of cognitive biases<\/a><\/div>\n

This is an excellent interactive visualization of a list of cognitive biases grouped within classes of biases\u2014 https:\/\/upload.wikimedia.org\/wikipedia\/commons\/6\/65\/Cognitive_bias_codex_en.svg. Time permitting, I'm going to attempt to learn how the visualization was created. Via https:\/\/kk.org\/cooltools\/page\/67\/?reviews=2630 (to which I recommend subscribing). submitted by \/u\/ThurstonBT [link] [comments] […]<\/a><\/p><\/div><\/div><\/div>

Visualizations show the extensive cloud of debris Russia\u2019s anti-satellite test created<\/a><\/div>\n
\"Visualizations<\/a>\n

A screengrab of a visualization, created by Hugh Lewis Satellite trackers have been working overtime to figure out just how much dangerous debris Russia created when it destroyed one of its own satellites early Monday \u2014 and the picture they\u2019ve painted looks bleak. Multiple visual simulations of Russia\u2019s anti-satellite, or ASAT, test show a widespread cloud of debris that will likely menace other objects in orbit for years. Early this week, Russia launched a missile that destroyed the country\u2019s Kosmos 1408 satellite, a large spacecraft that orbited the Earth roughly 300 miles up. The breakup of the satellite created at\u2026 […]<\/a><\/p><\/div><\/div><\/div>

The world of data visualization for learners, experts, enthusiasts and lovers<\/a><\/div>\n
\"The<\/a>\n

Photo by Isaac Smith on Unsplashinding a definition for data visualization and defining it is actually simple: It represents data that contains visual elements to communicate information. But even in this simple definition, we can overlook the essential and critical: Why do we need information communication?To understand and explain, of course. […]<\/a><\/p><\/div><\/div><\/div>

How Data Visualization Drives Better Business Decisions and Outcomes<\/a><\/div>\n
\"How<\/a>\n

(ArtHea\/Shutterstock) I\u2019ve run software development teams (some with more than 1,000 members) over the past 25 years. The software development discipline has exploded in growth due to the need for technology support across all aspects of business. Despite this growth, the core challenge remains the same: in order to be effective, technical teams need to find ways to make better decisions, faster. Teams need to see and think about their work differently.\u00a0 Developer teams riff and iterate on code. Iteration is the key because no matter how sure they are of what they are building, they inevitably have to change\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Data Vis Dispatch, October 12<\/a><\/div>\n
\"Data<\/a>\n

The best of last week\u2019s big and small data visualizations Welcome back to the 17th edition of Data Vis Dispatch!\u00a0Every week, we\u2019ll be publishing a collection of the best small and large data visualizations we find, especially\u00a0from news organizations \u2014\u00a0to celebrate data journalism, data visualization, simple charts, elaborate maps, and their creators.Recurring topics this week include the oil spill off the coast of California, methane as a cause for climate change, the volcano eruption on La Palma, and, of course, the pandemic. First, some Covid-19 visualizations. One of the most-discussed topics this week was the quality of vaccination data. The\u2026 […]<\/a><\/p><\/div><\/div><\/div>

One dataset, ten visualizations<\/a><\/div>\n
\"One<\/a>\n

One dataset can be represented in multiple ways depending on what you want to focus on: want to showcase evolution over time? A line chart will do the work. Care to emphasize the geographical distribution of the data? Then a map is, most likely, the best choice. The exercise of trying to come up with as many charts as possible is not only fun \u2014 that is if you are a data visualization geek like most of us here at Flourish \u2014 but also useful to understand the strengths and weaknesses of each chart type in a given situation and\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Visualizing the World\u2019s Biggest Pharmaceutical Companies<\/a><\/div>\n
\"Visualizing<\/a>\n

Some of the world\u2019s biggest pharmaceutical companies have played a central role in the COVID-19 pandemic. However, it\u2019s likely no surprise that the pandemic has also been great for many healthcare businesses. In fact, in 2020 alone, the world\u2019s 50 largest pharmaceutical companies still combined for a whopping $851 billion in revenues. In this graphic, using data from Companies Market Cap, we list the largest pharmaceutical companies in the world by market capitalization. It\u2019s worth noting this list also includes healthcare companies that work closely with pharmaceuticals, including biotech, pharmaceutical retailers, clinical laboratories, etc. Editor\u2019s Note: A previous version of\u2026 […]<\/a><\/p><\/div><\/div><\/div>

L'Institute for Global Environmental Strategies propose une nouvelle version de son outil de visualisation et d'analyse des interconnexions entre ODD.<\/a><\/div>\n
\"L'Institute<\/a>\n

Cette plateforme vise \u00e0 favoriser la mise en \u0153uvre de l\u2019agenda 2030 pour le d\u00e9veloppement durable en encourageant un d\u00e9veloppement intersectoriel et int\u00e9gr\u00e9 des politiques publiques. Elle permet d\u2019identifier les synergies et de minimiser les compromis \u00e0 faire parmi les politiques publiques visant \u00e0 atteindre les Objectifs de D\u00e9veloppement Durable.L\u2019Institute for Global Environmental Strategies (IGES) cr\u00e9\u00e9 en 1998 en tant qu\u2019organe consultatif japonais vise \u00e0 promouvoir la recherche pour acc\u00e9l\u00e9rer la transition vers une r\u00e9gion Asie-Pacifique plus durable, r\u00e9siliente et inclusive. Une \u00e9quipe de recherche y d\u00e9veloppe depuis 2015 un outil d\u2019aide \u00e0 la d\u00e9cision politique permettant non seulement la\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Search Atlas<\/a><\/div>\n
\"Search<\/a>\n

1Massachusetts Institute of Technology, 2Carnegie Mellon University (equal contribution) with design by micah epstein appearing in ACM Designing Interactive Systems (DIS 2021) Contact: team@searchatlas.org Talk Teaser video The internet is full of invisible borders\u2014geographic, linguistic, cultural, political\u2014that circumscribe the information each user sees. Search engines shape such \u201cinformation borders\u201d by tailoring results according to geolocation, language, and other user profiling. We present Search Atlas, a tool paired with visualizations that enable users to see and cross these borders. For instance, how do search results for the same query differ for Brazilian, Turkish, and Indian users? Given a query, the tool\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Integrating Unstructured Data Sources into an Enterprise-Scale Knowledge Graph<\/a><\/div>\n
\"Integrating<\/a>\n

Because much of the information stored in modern enterprise data ecosystems comes in the form of textual data, an enterprise-scale knowledge graph platform must be able to integrate large collections of this unstructured data. Knowledge graphs need to surface facts from these sources, connecting them to and analyzing them alongside more structured data, such as relational databases, data lakes or APIs.\u00a0 This blog showcases one example of a production customer using Cambridge Semantics\u2019 knowledge graph platform, Anzo, to do exactly this.\u00a0 Anzo treats unstructured data as a first-class citizen in the knowledge graph. Anzo onboards unstructured data — sources that\u2026 […]<\/a><\/p><\/div><\/div><\/div>

Every Single Cognitive Bias in One Infographic<\/a><\/div>\n
\"Every<\/a>\n

View a high resolution version of this graphic Every Single Cognitive Bias in One Infographic View the high resolution version of today\u2019s graphic by clicking here. The human brain is capable of incredible things, but it\u2019s also extremely flawed at times. Science has shown that we tend to make all sorts of mental mistakes, called \u201ccognitive biases\u201d, that can affect both our thinking and actions. These biases can lead to us extrapolating information from the wrong sources, seeking to confirm existing beliefs, or failing to remember events the way they actually happened! To be sure, this is all part of\u2026 […]<\/a><\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":213,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-303","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/news.1ntel.fr\/index.php\/wp-json\/wp\/v2\/pages\/303","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news.1ntel.fr\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/news.1ntel.fr\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/news.1ntel.fr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news.1ntel.fr\/index.php\/wp-json\/wp\/v2\/comments?post=303"}],"version-history":[{"count":6,"href":"https:\/\/news.1ntel.fr\/index.php\/wp-json\/wp\/v2\/pages\/303\/revisions"}],"predecessor-version":[{"id":662,"href":"https:\/\/news.1ntel.fr\/index.php\/wp-json\/wp\/v2\/pages\/303\/revisions\/662"}],"up":[{"embeddable":true,"href":"https:\/\/news.1ntel.fr\/index.php\/wp-json\/wp\/v2\/pages\/213"}],"wp:attachment":[{"href":"https:\/\/news.1ntel.fr\/index.php\/wp-json\/wp\/v2\/media?parent=303"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}