38 Tools For Beautiful Data Visualisations | Elisa DBI. 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. Below we list a non-exhaustive list of resources. 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 Web Applications TileMill – Running Map Programming Languages Hyperbolic Tree – NYTimes 365/360 Generated with Processing Desktop Applications Treemap – Tableau.
Sigma.js | examples. 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. Processing.js. JavaScript InfoVis Toolkit. Quick Start - Google Charts. D3.js - Data-Driven Documents. Arbor.js.
Samples. Tag cloud. 3D. Augmented reality. Datavisualisation. Graphs visualization. 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. As a result, Netvizz, an application to visualize one’s Facebook network, was recently discontinued. Visualizing your Facebook network has become hard. 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.
Visualizing your friends via Outwit-hub. /(\?