A summary of the most useful visual analysis tools for big Data (2/4)

A good tool can help you do more, especially in the big data age, where powerful tools are needed to visualize data in ways that make sense. Some of these tools are applicable to. NET, Java, Flash, HTML5, Flex and other platforms, there are also applicable to the general chart report, Gantt Chart, flowchart, financial charts, industrial charts, PivotTable reports, OLAP Multidimensional analysis, such as chart report development, Let's take a look at some of the world's most popular visualization tools.

15, Kartograph

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Kartograph does not require any map providers, such as Google Maps, to create an interactive map, which consists of two libraries, from the spatial data open format, the Python library with vector projection and the post GIS, Combine the two into the SVG and JavaScript libraries and turn these SVG data into interactive maps.

16. Modest Maps

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Modest maps is a small map library that, in conjunction with some extension libraries, such as wax, modest maps, instantly becomes a powerful map tool.

17, Tangle

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Tangle is an interactive tool that you can use to explore and instantly view document updates.

18, Crossfilter

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Crossfilter is both a chart and a small program for an interactive graphical user interface, and when you adjust the input range in a chart, the data for other associated charts changes as well.

19, Raphael

Raphael is the JavaScript library that creates charts and graphs, and the biggest difference from other libraries is the output format only for SVG and VML.

20, Jsdraw2dx

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JSDRAW2DX is a standard JavaScript library for creating any type of SVG interactive graphic that produces shapes including lines, rectangles, polygons, ellipses, arcs, and more.

21. Pizza Pie Charts

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Pizza pie charts is a responsive pie chart that, based on the Adobe SNAP SVG framework, replaces JavaScript objects with HTML markup and CSS to make it easier to integrate advanced technologies.

22. Fusion Charts Suit XT

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The Fusion Charts Suit XT is a cross-platform, cross-browser JavaScript charting component that gives you a powerful JavaScript charting experience. It is the most comprehensive charting solution with 90 + chart types and many interactive features such as 3D, various gauges, ToolTips, drill down, zoom and scroll. It has complete documentation and ready-made demos to help you quickly create charts.

23, Icharts

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Icharts provides a managed solution for creating and presenting compelling charts. There are many different kinds of charts to choose from, each of which is fully customizable to fit the theme of the site. Icharts has interactive elements that can get data from Google Docs, Excel forms, and other sources.

24. Modest Maps

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Modest maps is a lightweight, extensible, customizable, and free map display class library that helps developers interact with maps in their own projects.

25. Raw

The raw local area is a very popular D3.js library that supports many chart types, such as bubble maps, maps, and loops. It enables data sets to be copied, pasted, dragged, deleted, and allowed to customize the hierarchy diagram.

26, springy

The springy design is cool and simple. It provides an abstract graphical processing and calculation layout that supports canvas, SVG, WebGL, HTML elements.

27, Bonsai

Bonsai uses SVG as the output to generate graphics and animation effects, with a very complete graphics processing API, which makes it easier for you to work with graphical effects. It also supports effects such as gradients and filters (grayscale, blur, opacity).

28. Cube

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Cube is an open-source system for visualizing time series data. It is based on MongoDB, Nodejs and d3.js development. Users can use it to build dashboard metrics for real-time visualization of internal dashboards.

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Most useful summary of big Data visualization analysis Tools (2/4)