30 Simple Tools For Data Visualization There have never been more technologies available to collect, examine, and render data. Here are 30 different notable pieces of data visualization software good for any designer's repertoire. They're not just powerful; they're easy to use. In fact, most of these tools feature simple, point-and-click interfaces, and don’t require that you possess any particular coding knowledge or invest in any significant training. 1. iCharts 2. FusionCharts Suite XT is a professional and premium JavaScript chart library that enables us to create any type of chart. 3. Modest Maps is a small, extensible, and free library for designers and developers who want to use interactive maps in their own projects. 4. Pizza Pie Charts is a responsive pie chart based on the Snap SVG framework from Adobe. 5. Raw is a free and open-source web application for visualizing data flexibly and as easy as possible. 6. Leaflet is a modern open-source JavaScript library for mobile-friendly interactive maps. 7. 8. 9. 10. 11.
Creating Animated Bubble Charts in D3 - Jim Vallandingham Update: I moved the code to its own github repo - to make it easier to consume and maintain. Update #2 I’ve rewritten this tutorial in straight JavaScript. So if you aren’t that in to CoffeeScript, check the new one out! Recently, the New York Times featured a bubble chart of the proposed budget for 2013 by Shan Carter . It features some nice, organic, animations, and smooth transitions that add a lot of visual appeal to the graphic. As FlowingData commenters point out , the use of bubbles may or may not be the best way to display this dataset. In this post, we attempt to tease out some of the details of how this graphic works. #Simple Animated Bubble Chart In order to better understand the budget visualization, I’ve created a similar bubble chart that displays information about what education-based donations the Gates Foundation has made. You can see the full visualization here And the visualization code is on github The data for this visualization comes from the Washington Posts DataPost .
World: Humanitarian and Country Icons 2012 - World ************************************* Icons optimized and hosted for use in online maps (64 and 32 pixel png images) by google. The 64px icons are recommended for use in Google Earth, and 32px icons are recommended for Google Maps. Web font by Tomnod: True type fonts, ESRI Stylesheets and QGIS XML files for the bounded, unbounded and transparent formats by MapAction: *************************************OCHA adds 500 free humanitarian symbols to communications tools and services The United Nations Office for the Coordination of Humanitarian affairs (OCHA) has created a set of 500 freely available humanitarian icons to help relief workers present emergency and crisis-related information quickly and simply.
Visualization is the future: 6 startups re-imagining how we consume data Although visualization is hardly the most technologically challenging part of the data-analysis puzzle, it’s arguably the most important. Storage, databases, query processing and algorithms are all extremely important — heck, visualization is next to nothing without them — but in a data-driven world where is obsessed with insights, they’re just the foundational layers. They are to big data what server and network configurations are to mobile-app development on platforms like Parse. If you’re going to find out new things from massive and highly complex data sets, or going to give new types of people the ability to analyze even simple data, the presentation of that data and the ability to create consumable presentations are critical. With that in mind, here are six startups I’ve seen trying to fundamentally change the way that data is visualized. Ayasdi The idea of network graphs isn’t new, but Ayasdi’s approach to it is. BeyondCORE ClearStory Datahero Platfora Zoomdata
Converting scanned graphs to data Converting scanned graphs to data, that is, extracting (x,y) data from scanned graphs can be useful for analyzing data from published graphs, analog instruments, strip chart recordings, or any other hard copy graph or plot. This is sometimes called a "plot digitizer", "graph digitizer", or "optical plot reading" (OPR).[1] History[edit] Developments of the 20th century computer were fueled largely by the needs of the scientific community to store and analyze large amounts of scientific data. Although digital video systems and scanners were developed primarily to input and manipulate pixel images such as pictures, drawings and photographs,[2] it soon became clear that information could be extracted from other types of scanned images. Basic concept[edit] Practical considerations[edit] Tilted graphs[edit] Although desktop scanners can provide very high resolution and accuracy in the scanning of paper images, it is generally difficult to load the paper into the scanner perfectly orthogonal.
Tutorials · mbostock/d3 Wiki Wiki ▸ Tutorials Please feel free to add links to your work!! Tutorials may not be up-to-date with the latest version 4.0 of D3; consider reading them alongside the latest release notes, the 4.0 summary, and the 4.0 changes. Introductions & Core Concepts Specific Techniques D3 v4 Blogs Books Courses D3.js in Motion (Video Course)Curran Kelleher, Manning Publications, September 2017D3 4.x: Mastering Data Visualization Nick Zhu & Matt Dionis, Packt. Talks and Videos Meetups Research Papers D3: Data-Driven DocumentsMichael Bostock, Vadim Ogievetsky, Jeffrey HeerIEEE Trans.
Looking 4 data visualization: Tools . RAW est une nouvelle application web ouverte et gratuite qui permet de créer aisément des dataviz basées sur le framework D3.js de Mike Bostock (Data Designer au New York Times). . Développé par l'institut de recherche italienne Density Design, l'outil permet de générer sans aucune ligne de code des visualisations avancées de type Treemap, Dendogram, Fineo Diagram. Les données peuvent être importées à partir de fichiers texte (.csv, .tsv) ou à partir d' Excel, TextEdit ou TextWrangler. . 6 types de layouts / composants graphiques sont disponibles à ce jour : Treemap, Bubble Chart, Dendogram, Hexagonal Binning, Alluvial Diagram (Fineo), Circle Packing. . . 'raw is conceived to ease graphic production, not to replace it.
Global Network - Umbrella Security Labs » Big Data » Global Network OpenDNS Security Labs leverages the OpenDNS Global Network, the world’s largest security network, which features the industry’s best uptime, and geographically distributed data centers serving 50 million active users daily in more than 200 countries. Seattle, WA Palo Alto, CA Los Angeles, CA Dallas, TX Chicago, IL New York, NY Ashburn, VA Miami, FL London, UK Frankfurt, DE Amsterdam, NL Singapore, SG Hong Kong Prague, CZ Copenhagen, DK Paris, FR Berlin, DE Warsaw, PL Bucharest, RO The combination of our network security services and the OpenDNS Global Network provides the ultimate in coverage, efficacy, and performance, protecting users on any device at any time. Internet connectivity is optimized via transparent load-balanced Anycast routing — advertising identical service IP addresses everywhere — and co-locating with the most top Internet exchange points across three continents — shortening routes between OpenDNS and every network.
index Welcome to the DARPA Open Catalog, which contains a curated list of DARPA-sponsored software and peer-reviewed publications. DARPA sponsors fundamental and applied research in a variety of areas including data science, cyber, anomaly detection, etc., which may lead to experimental results and reusable technology designed to benefit multiple government domains. The DARPA Open Catalog organizes publicly releasable material from DARPA programs. DARPA is interested in building communities around government-funded software and research. The table on this page lists the programs currently participating in the catalog. Program Manager: Dr. Report a problem: opencatalog@darpa.mil
D3js Voici le premier d’une longue lignée (je l’espère) de tutoriaux en français portant sur la librarie d3.js. Pour en savoir plus sur cette librairie reportez vous à la présentation que j’en ai faite sur ce post. L’objectif de ce premier tutoriel est de faire quelques exemples d’utilisation très simple de la librairie. A l’instart de Jquery, d3.js est une librarie qui permet de manipuler le DOM. Mais là où d3.js est très efficace est dans la manipulation de SVG. Manipuler ou créer une div avec d3.js Ajouter et manipuler un rectangle SVG Dessiner plusieurs éléments dans un groupe svg Gérer des données au format JSON et dessiner en fonction de ces données Dans ce dernier exemple, nous allons construire des nodes qui sont en fait des groupes svg ayant la class “node”. Le dernier exemple introduit plusieurs nouveaux concepts : selectAll(), data(), et enter(). selectAll() data() La methode data() permet de “binder” (attacher) des données à des éléments sélectionnés par la methode selectAll(). enter()
Selected Tools Security Graph - Umbrella Security Labs » » OpenDNS Security Graph Security today is largely predicated on researchers or vendors obtaining one of the following: a sample of an attack, a binary file, or an exploit. Although we are starting to see more effective behavior analysis methods, they are still reactive. Simply put, infections happen first and detection happens second. Additionally reputation scoring relies on expert systems that need tuning by both researchers and customers and have limited feature-sets that result in low coverage. Using Big Data and data mining methods to predict attacks before they happen, OpenDNS Security Labs built the OpenDNS Security Graph. Data Mining and algorithmic classification techniques such as machine learning, graph theory, anomaly detection, and temporal patterns are used in combination with contextual search, visualization, and scoring in order to predict the Internet origins of attacks. Researchers can also apply for access to the contextual search engine here.
Examples | NBR | Offers Businesses Seminars and Consulting on Better Charts and Graphs Our first example shows a before figure of multiple pie charts and an after figure of a diverging stacked bar chart. Click Here for a discussion of this figure. Our second example also shows a before figure of multiple pie charts. It’s a series of 42 pie charts presented by VIDA showing male and female representation in prestigious literary journals. We show the first two pies here; the original figure is available at the VIDA site. EX. 2 AFTER (Hover mouse over bars to see counts and values.) Diverging Stacked Bar Chart This is the Tableau workbook referenced in the paper submitted to the Journal of Statistical Software.