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visualization, in addition to simple Web-based tools, you also need more useful things, including desktop applications and programming environments.
16. Processing
Processing is an exemplary tool for interactive visual Processing. It allows you to use simpler code and then compile it into Java in sequence. The Processing. js tool enables your webpage to use Processing without a Java application. Its Obje
HTML5 big data visualization effect (1) rainbow explosion diagram, html5 Visualization
Preface
25 years later, Dr. Brooks's famous "no silver bullet" statement was still not broken. The same is true for HTML5. But this does not prevent HTML5 from being an increasingly powerful "blow-up": rapid development and unstoppable. With the popularization of HTML5 technol
efficiently on all major desktop and mobile platforms, and uses HTML5 and css3 advantages in modern browsers, it also supports access from the old browser. Supports extension of plug-ins. It has a friendly and easy-to-use API documentation and a simple and readable source code.
3. Raw
Raw is a free and open-source web application, and data visualization is as si
://cartodb.com/
Documents: http://docs.cartodb.com/
Tutorial: http://docs.cartodb.com/tutorials.html
Q A: http://docs.cartodb.com/faqs.html
Features
CartoDB is a cloud-based geospatial database that allows you to store and visualize web data. With CartoDB, you can quickly create map-based visualization effects.
3 Chroma. js
Type: Library
Technology: JavaScript
Open-source Protocol: GPL
Resource Link
Home:
CartodbType: Web AppTechnology: JavaScriptOpen Source Agreement: CommercialResource LinksHome: http://cartodb.com/Document: http://docs.cartodb.com/Tutorial: http://docs.cartodb.com/tutorials.htmlQuestion and Answer: http://docs.cartodb.com/faqs.htmlFeature IntroductionCartodb is a geospatial database on the cloud that allows the storage and visualization of data on the Web. Use Cartodb to quickly create m
Date: 2013-7-26 Source: gbin1.com
In-depth understanding: This article will introduce five visualization tools that are difficult to use (or you can refer to the previous article ).
If you want to achieve high-level data visualization, in addition to simple Web-based tools, you also need more useful things, including desktop
Python 2.7IDE Pycharm 5.0.3NumPy 1.11.0Matplotlib 1.5.1
This visualization data is provided by the machine learning Combat portrait (that is, the data is stolen and a little bit of the program is easier to read) preface
Visualization of data in TXT for analysis of requiremen
Hard to analyze a bunch of big data, unexpectedly no one to see! What do we do? As the saying goes, there is a picture of the truth, a picture wins thousands of words, pleasing the eyeball, the rest are said. If you're starting to get useful information from your data, it's exactly what you need-data visualization. Thi
With the concept of data visualization is hot every year, there are more excellent open source library and production tools to stand out, below, we take the more famous 14 products for a brief introduction.1, Anychart650) this.width=650; "alt=" Jive Circle Case Study "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua1.png "/>Links:http://www.anychart.com/Anychart is a flash/j
Hard to analyze a bunch of big data, no one looked! If you're starting to get useful information from your data, it's exactly what you need-data visualization. As the saying goes, there is a picture of the truth, a picture wins thousands of words, pleasing the eyeball, the rest are said.Monday Big offer!! Mining 21 hot
ESRI is truly the GIS industry giant, from the undergraduate start to contact with the ArcGIS series, desktop from ArcMap to Arcpro, the service from ArcIMS to Arcserver, all reflect this amazing company in the Times, continuous innovation. Now some of the columns of products I have not used, like portal,pro,webbuilder ... Network GIS now seems to be only updated JavaScript, the relationship between GIS and computer, are the product of ESRI company i
: CommercialResource Links Home:http://cartodb.com/ Document:http://docs.cartodb.com/ Tutorial:http://docs.cartodb.com/tutorials.htmlQuestion and Answer: http://docs.cartodb.com/faqs.html Registration is required to view Web content.Feature IntroductionCartodb is a geospatial database on the cloud that allows the storage and visualization of data on the web. Use Cartodb to quickly create map-based
First of all, I would like to thank Miss Lin Feng for choosing me. @ Kener-Lin Feng
(1) Next I will introduce Baidu's data visualization components echarts and zrender.As we all know, the arrival of the big data era not only brings challenges but also opportunities, but it is only a start. The big data era will have a
How the data is clear, accurate, interactive, and visualized through data, will achieve these effects.Libraries needed for Python visualization: pandas,matplotlibRefer to the official tutorial: http://matplotlib.org/index.htmlScatter plot:Plot function: Plot (x, Y, '. ', Color (r,g,b))X, y,x axis and y-axis sequence; '. ', the size of the midpoint of the scatter
Dashboards, big data, data visualization, data analysis-more and more people and businesses are starting to use their data to do something interesting. In my career, I have been privileged to participate in a large number of data-
Matplotlib Brief Description: Matplotlib is a desktop drawing package for creating high-quality charts (mainly 2D). The project was launched by John Hunter in 2002 to build a MATLAB-style drawing interface for Python. If you use a Python IDE, such as Pycharm,matplotlib, you also have interactive features such as zoom and pan. It not only supports many different GUI backend on various operating systems, but also can export images to various common vect
Rocket (http://www.zhoushankj.com) is committed to making data friendly and vibrant.Simple! Simple! Simple!The important thing to say three times.Graphical operation, flexible layout, WYSIWYG.The flexible layout can be arranged by dragging, pulling and dragging.All of the property configuration is WYSIWYG, do not have to finish the operation is also to wait for the refresh.Chart RichCovers various industry charts to meet a variety of needs.column, lin
location information of node. This completes the same circular pop-up effect as the rubber band.In addition, the navigation bar out is also more abrupt, here also use animation, let it from left to right slowly stretched out:New Animate ({from: {x:x1, y:y1},to: {x:x2, Y:y2},delay:"point '" Bounceout ') function (value) {node.setcenterlocation (value.x, value.y);},}). Play ();The difference from the previous animation is that the point structure of {x, y} is used here, and each frame updates t
the internal relationship of data. The interactive GUI is a good choice for interactive support.MayaviThis is a 3D graphics toolkit based on the open source C + + graphics library VTK. can be integrated into Ipython for interactive use.Other librariesOther libraries or applications include: PYQWT, Veusz, Gnuplotpy, Biggles, and so on, and large libraries are developing to web-based technologies and moving away from
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