Data visualization plays an important role in the field of data science. In the case of clear data, to monitor and adjust the data so that it should be performed in the way is not easy. This is the data visualization comes into play, it is the collected data into a visual context to make it easier to find the data mode, tracking trends.
However, these are only in the premise of reliable data visualization tools to complete. In terms of data visualization tools, open source can not be underestimated. However, people tend to confuse free and open source. Open source is about to get the source code, its relationship with the free tools can not.
This article lists some of you may consider using open source data visualization tools.
Candela
Mentioned open source and Javascript, candela is definitely one of the best data visualization software package. The package has a standardized API, which actual data for scientific applications, and can be used by Resonant internet.
Candela standard software package can be installed from the system, it can be installed from the source code. In addition, although the first installation process is very simple, but it does not have a lot of public release. In addition, if installing from source is slightly more complicated, but allows the user to run the latest development version.
Charted
Charted is an open-source tool, visual data automatically. You have to do is to provide a data link to the file, the tool will generate the data can be shared visualization. Charted products created by the Medium scientific team in 2013, documents the use of already available for anyone with links to public access. And, if you want to know the protected data or sensitive data, we can provide services for their Charted instance on its secure network. Since its creation, the very popular tool in the analysis of data, and data science team communication results.
Chart JS
Chart JS is an open source charting library on community maintenance. It can help to use Javascript scientific data visualization data. However, before using the tool, you must include the library in the front-end code.
Want to install the library, you can download the latest version from GitHub version.
D3.js
D3.js is a Javascript library for data based on document processing. The library to help developers visualize data through the use of HTML, SVG and CSS. The main features of this platform is to provide modern browsers without proprietary binding framework for all user functionality, combined with powerful visualization components and data-driven document object model (DOM) methods of operation.
Datawrapper
Datawrapper is an open source mobile data visualization platform to help everyone create simple, accurate and can be embedded chart in a few minutes. The tool has both free and paid versions (for a single user version is free, supporting 10,000 monthly chart view).
The tool design approach is very simple, you just need to upload your data, check and describe it, data visualization will be completed. In addition, you can also publish a chart or embed charts.
Dygraphs
Dygraphs is a chart based on open source javascript library that allows users to explore and interpret dense data sets. However, however, it requires a degree of Web programming background to use charts. It generated charts are interactive, the user can click the mouse to highlight individual values, click and drag to zoom, double-click to narrow, shift- drag to pan and so on.
Further, Dygraphs best thing is that it can handle large data sets.
Leaflet
Leaflet is an open source Javascript library for mobile-friendly interactive map. Features of this tool is that it is very lightweight, JS size is only 38 KB. Design approach of the tool so that it has almost all the features required mapping of most developers.
Leaflet Not only have many plug-ins that add functionality, but can also work efficiently on all major desktop and mobile platforms. Since it is an open-source tool, so that good recording and API-readable source code.
NBI analysis of large data visualization platform
NBI analysis of large data visualization platform as a new generation of self-service, exploratory analysis tool, always from the user's point of view on product design philosophy has always been around simple, easy to use, interactive analysis for the purpose of emphasis on new products. We will analyze all aspects of data (data preparation, self-service data modeling, exploratory analysis, access control list) integrate into the system, so that enterprises orderly, secure data management and data analysis. For more information see ( http://nbi.easydatavis.com:8033 )
Large data visualization analysis NBI view of a platform
Features
Help companies explore the sleeping data in the system of values, turn data into information to guide corporate decision-making, supervision and implementation of the strategy to improve decision-making and business execution, and ultimately create value for the enterprise.
Easy to use: no technical background, just by drag and drop, 5 minutes to complete a visual graphical analysis reports;
simple delivery: By a simple click, drag and drop connectivity and processing of data, rapid data visualization needs;
easy integration: integrates seamlessly with existing business information systems, direct access to real-time business data analysis;
security management and control: there are a variety of access control to choose from. Designed to manage user access to information and management, also supports data-level access;
multi-terminal View: access based on HTML5 technology, cross-browser, mobile terminal; based on B / S architecture, without having to install on the client computer, the user simply It can be accessed through a browser;
support the deployment of privatization: the privatization of support deployed on enterprise applications, ensure data security; help companies reduce operating costs and achieve fine operation.
Rich graphics library: with dozens of traditional graphics and new big data graphical components (such as Sankey diagram, treemap, hierarchical clustering diagram, heat matrix, etc.) to make your data more intuitive and dialogue
NBI大数据可视化分析平台图二
NBI large data visualization platform analysis Figure III
Analysis NBI large data visualization platform FIG four 
NBI analysis of large data visualization platform Figure V
Data is the core of production in the future of the digital economy, known as the new era of "oil", the data real-time data analysis is a very important part, have reliable data visualization tools undoubtedly seize the opportunity of development .
NBI analysis of large data visualization platform ( http://nbi.easydatavis.com:8033 )