The Volume, Velocity, Variety, and Visualization of Big Data Today’s Big Data Scientists are being challenged with discovering actionable insights from the Volume, Velocity and Variety of data resources in cost-effective innovate ways. This is the foundation of Big Data Trends and has tremendous value when understanding is Visualized by today’s Big Data Artists. Big Data Artists and Data Storytelling Data comes to life in the hands of Data Artists. Big Data Virtualization Processing unstructured, semi-structured, and structured data can be accomplished with open-source tools such as Hadoop, MongoDB, Node.JS, with multiple programming languages including Java and Python. Big Data Visualization Getting the right information to the right person at the right time in the right way is a big deal. Data Visualization Tools Great artists experiment with a variety of material and tools to create their masterpieces. RapidMiner Data Mining System: RapidMiner is an open-source system for data mining. Sencha Ext JS is an “Enterprise grade JavaScript Framework”.
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.
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
How to Master Data Visualization Data Visualization Data visualization is the study of the visual representation of data, meaning “information which has been abstracted in some schematic form, including attributes or variables for the units of information”. According to Friedman (2008) the “main goal of data visualization is to communicate information clearly and effectively through graphical means. It doesn’t mean that data visualization needs to look boring to be functional or extremely sophisticated to look beautiful. Data Visualization Strategy Edward Tufte @EdwardTufte delivered a great presentation about data visualization strategy for the star studded Tech@State event audience. If your display isn’t worth 1000 words, to hell with it – @EdwardTufte Data Visualization Tools & Services Google Data Visualization Services Google Data Visualization Service provides a variety of charts that are optimized to address your data visualization needs. Sencha ExtJS Data Visualization Tools Highcharts Data Visualization Tools Mr.
Selected Tools Javascript based Datavisualization.ch List of available online WMS services (Weather, Land Data, Place Names...) current community your communities Sign up or log in to customize your list. more stack exchange communities Stack Exchange sign up log in tour help Geographic Information Systems Ask Question Take the 2-minute tour × Geographic Information Systems Stack Exchange is a question and answer site for cartographers, geographers and GIS professionals. List of available online WMS services (Weather, Land Data, Place Names…) 11 Answers active oldest votes Your Answer Sign up or log in Sign up using Google Sign up using Facebook Sign up using Stack Exchange Post as a guest discard By posting your answer, you agree to the privacy policy and terms of service. Not the answer you're looking for? Get the weekly newsletter! Top questions and answers Important announcements Unanswered questions see an example newsletter By subscribing, you agree to the privacy policy and terms of service. Linked WMS weather data for Europe Third party base layer other than Google map Related WMS + Google Earth + tilted view = alignment failure?
Looking 4 data visualization Data, BigData, DataViz, Data Scientist, OpenData… reprenons du début Un des principaux objectifs de ce blog est d'aborder les différents aspects de la diffusion de l'information géographique. Cela commence forcément par évoquer la source de toute information: la donnée. Autour du concept de la Data, gravitent de nouveaux phénomènes comme le Big Data, la Data Viz ou l'Open Data … Des journalistes aux décideurs en passant par les spécialistes techniques, tout le monde s'en fait désormais l'échos. Alors avant d'aborder régulièrement ces thèmes dans les prochains mois, reprenons depuis le début chacun de ces concepts. La Data La Data constitue le cœur de tous nos systèmes d'information et jouent donc un rôle essentiel dans la prise de décisions économiques, stratégiques ou politiques. GeoData Sans qu'il soit évident de le démontrer, il est communément admis que 80% de nos bases de données ont une composante géographique, on parlera donc parfois de GeoData. Big Data, le nouveau défi de la Data Un nouveau métier: Data Scientist Et l'Open Data dans tout ça ?