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38 Tools For Beautiful Data Visualisations

38 Tools For Beautiful Data Visualisations
As we enter the Big Data era, it becomes more important to properly expand our capacity to process information for analysis and communication purposes. In a business context, this is evident as good visualisation techniques can support statistical treatment of data, or even become an analysis technique. But also, can be used as a communication tool to report insights that inform decisions. Today there are plenty of tools out there that can be used to improve your data visualisation efforts at every level. Javascript Libraries Circular Hierarchy – D3.js Python Libraries Kartograph.py – Mapsigraph – Node-link, treesMatplotlib – Most types of statistical plotsPycha – Pie chart, bar chart, area chartNetworkX – Node-link Java / PHP Prefuse – Area chart, Time series, node-link, tree, timeline, steam graph, radial hierarchyJpGraph – Line plot, scatter plot, bar chart, bubble chart, contours chart, field chart, splines, pie chart, boxplot, polar plot, radial chart, maps Web Applications Related:  {t} Analytics

Raphaël—JavaScript Library arbor.js Growing importance of content discovery platforms for publishers | Media Network - Outbrain partner zone | Guardian Professional Stephanie Himoff: "Content discovery is continuing to grow in importance and it’s fantastic to be able to work with Guardian News & Media." Photograph: Eric Savage/Getty Images Guardian News & Media has partnered with leading content discovery platform Outbrain to increase user engagement across its site, via smart personalised recommendations on editorial content. Guardian News & Media will work with Outbrain, using its complete solution for content recommendation across text articles. Tim Gentry at Guardian News & Media said: "We are constantly looking for new ways to showcase our award-winning journalism and keep our ever-increasing audiences interested, engaged and active with relevant content across our digital platforms. Stephanie Himoff, Outbrain's UK Managing Director said: "The Guardian is one of the most innovative and forward thinking publishers in the world. Copy on this page is provided by Outbrain, supporter of the digital content hub

HeliosJS by entrendipity HeliosJS is an in-memory graph database for modern browsers. It employs a non-blocking asynchronous architecture through the use of Promises and Web Workers, and therefore is only available in browsers that support Web Workers. This enables HeliosJS to download and process large data sets without blocking the UI. In order to traverse the graph, HeliosJS uses a Gremlin inspired graph traversal language to query, analyze and manipulate the graph. Getting Started Copy the helios directory to your project's root directory. N.B. Now create a graph database and load some data. var g = new Helios.GraphDatabase(); g.loadGraphSON(' Then travese the graph. Lets break this down. The next step loads data into the database using the loadGraphSON function. Once the data is loaded we travese the graph. Documentation Conventions Function signatures Function signatures are based on the TypeScript notation. Closures top id()

Rickshaw: A JavaScript toolkit for creating interactive time-series graphs Graphing Toolkit Rickshaw provides the elements you need to create interactive graphs: renderers, legends, hovers, range selectors, etc. You put the pieces together. See Demo → Built on d3.js It's all based on d3 underneath, so graphs are drawn with standard SVG and styled with CSS. Open Source Rickshaw is free and open source, available under the MIT license. Getting Started Here's a minimal but complete working example. Area Graphs Lines Bars Scatterplot Interactive Legend Add a basic legend: Add functionality to toggle series' visibility on and off: Highlight each series on hover within the legend: Add drag-and-drop functionality to re-order the stack (requires jQueryUI): Interactive Hover Details Show the series value and formatted date and time on hover: Specify formatting callbacks to customize output: See the custom formatter and subclass examples for more. Annotations Add toggleable annotations: annotator.add(timestamp, message);annotator.update(); Range Slider Graphs & Data via AJAX / JSONP Tutorial

Gephi makes graphs handly Tutorial Archives Facebook knows the social network of more than a billion persons. If you are a Facebook user though, you have little tools to explore your own social network. We are going to see how, with a few scraping tools, a Neo4j graph database and Linkurious, we can visualize our Facebook network. There is no easy solution to visualize your Facebook network. Facebook is restricting access to its API. Hervé Piedcoq, data analyst and OSINT expert is going to show you a method to 1) collect, 2) store and 3) visualize your Facebook network. 1st step : download your friends’ list We will use OutWit Hub, a powerful yet easy to use scraper, based on Mozilla and XUL. We could, of course, use Python or other languages to scrape Facebook, but OutWit Hub is clearly non-programmer oriented and immediately operational. Connect to your account via OutWit Hub and display the complete list of your friends. Visualizing your friends via Outwit-hub. OutWit Hub uses the source code of the webpage to scrape the data. /(\?

A New Visualization Method Makes Research More Organized and Efficient DiscoveryA New Visualization Method Makes Research More Organized and Efficient The Action Science Explorer (ASE) helps reveal emerging trends and controversies and encourages collaborations within the research community December 7, 2011 The National Science Foundation (NSF) funded Action Science Explorer (ASE) allows users to simultaneously search through thousands of academic papers, using a visualization method that determines how papers are connected, for instance, by topic, date, authors, etc. The goal is to use these connections to identify emerging scientific trends and advances. "We are creating an early warning system for scientific breakthroughs," said Ben Shneiderman, a professor at the University of Maryland (UM) and founding director of the UM Human-Computer Interaction Lab. ASE is not itself a product, but rather "a scientific research study that shows some potent new features that could be added to bibliographic systems to support more powerful functions," said Shneiderman.

Jack Hagley is a London based Graphic Designer specialising in... - Jack Hagley // Graphic Design // Infographics Jack Hagley is a London based Graphic Designer specialising in Infographics Specialist in infographic design and data visualisation. I also do iconography, illustration, branding, art direction and various other graphic design projects. Tell me about your project My work has been in The Times, the Guardian and Wired and I've been lucky enough to work under David McCandless at Information is Beautiful. Loves: Challenges, clarity, learning, deadlines. Get the most up-to-date version of my Infographic CV here. No Flash. PinterestTumblrTwitterExperimental Stuff

Roambi - Beautiful Mobile Data Visualization Apps Big Data Startup Roambi offers interactive mobile visualizations Roambi is a big data startup that completely focuses on mobile visualizations and they understand that practice pretty well. They have created an analytics tool that is easy to use and straightforward to install and users can import any type of data. Many companies see the importance of mobile visualizations and customers from Roambi come from many different industries as well as from Global Fortune 500 companies to SME’s. They store the data locally in order to ensure that also without coverage users can have access to the data. This can lead to potential security issues, when for example an employee loses his or her iPhone. However, they have several security measures in place among others remotely deleting all data on an iPhone and 256-bit encryption it, so that should be sufficient. In addition they have developed Roambi Business that brings all the analytics to organizations from any size.

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