數(shù)據(jù)可視化系統(tǒng)框架可擴展方法的設計與實現(xiàn)
發(fā)布時間：2019-02-18 19:37
【摘要】：隨著信息科學技術的快速發(fā)展,人們每天都在制造和分享各種各樣的數(shù)據(jù),不知不覺已經(jīng)生活在大數(shù)據(jù)的包圍之中。然而,對人們真正有意義的往往不是數(shù)據(jù)本身,而是隱藏在數(shù)據(jù)背后的知識,即將數(shù)據(jù)變成可用的知識。數(shù)據(jù)可視化就是一種讓數(shù)據(jù)說話的技術,它是利用計算機圖形學和圖像處理技術,將數(shù)據(jù)轉換成圖形或圖像的形式在屏幕上顯示出來,通過圖形圖像把信息傳達給觀眾。計算機技術的不斷發(fā)展,各類數(shù)據(jù)可視化工具隨之也層出不窮。按照提供功能的不同,這些可視化工具可分為三類,第一類是簡單通用型,例如Tableau等;第二類為面向特定領域,例如金融領域的可視化工具Dygraphs、地圖數(shù)據(jù)的工具Polymaps等。這兩類可視化工具都是已經(jīng)開發(fā)好的、具有一套完整的數(shù)據(jù)可視化功能流程,用戶可直接使用它們得到可視化解決方案,其雖能快速的得到可視化效果,但所適用的數(shù)據(jù)格式和提供的可視化圖表均比較固定單一,缺乏相應的可擴展性;最后一類是各種可視化函數(shù)圖形庫,如D3、processing等庫。這類可視化工具居多,且具有豐富的圖形和圖表,但需要開發(fā)者在這些庫的基礎上進行定制開發(fā),用戶并不能直接使用函數(shù)庫進行可視化,對用戶缺乏方便易用性。針對以上幾類可視化工具的不足,本文設計并實現(xiàn)一個可擴展的數(shù)據(jù)可視化系統(tǒng)框架,該系統(tǒng)框架可實現(xiàn)通用可視化流程,包括數(shù)據(jù)導入、算法選擇、維度映射和可視化展示。主要工作有以下幾點:一是設計并實現(xiàn)多種格式數(shù)據(jù)文件的導入方法及點可視數(shù)據(jù)、層次可視數(shù)據(jù)和網(wǎng)絡可視數(shù)據(jù)的轉換模型;二是設計并實現(xiàn)可視化算法接口標準和代碼編輯平臺,用戶可根據(jù)接口標準編輯可視化代碼并保存入圖表庫;三是設計并實現(xiàn)高維數(shù)據(jù)、層次數(shù)據(jù)和網(wǎng)絡數(shù)據(jù)常用的可視化,豐富可視化圖表庫;四是設計并實現(xiàn)實現(xiàn)可視化圖表交互與導出功能。通過以上幾點工作,為普通用戶提供了一個操作簡單且具有可擴展性的數(shù)據(jù)可視化解決方案,使用戶可以根據(jù)不同需求定制不同的可視化解決方案,使數(shù)據(jù)可視化變得更加簡單高效。
[Abstract]:With the rapid development of information science and technology, people are making and sharing all kinds of data every day, unconsciously living in the siege of big data. However, what is really meaningful to people is not the data itself, but the knowledge hidden behind the data, that is, the data becomes usable knowledge. Data visualization is a technique that allows data to speak. It uses computer graphics and image processing technology to convert data into graphics or images to be displayed on the screen and convey information to the audience through graphics and images. With the continuous development of computer technology, various kinds of data visualization tools emerge endlessly. According to the different functions, these visualization tools can be divided into three categories: the first is simple and universal type, such as Tableau, and the second is Polymaps, which is a visualization tool for specific fields, such as Dygraphs, map data in financial domain. These two kinds of visualization tools have been developed and have a complete set of data visualization function flow, users can use them directly to get visualization solutions, although they can quickly get visualization effect, However, the applicable data format and the visual charts provided are relatively fixed and single, and lack the corresponding scalability; The last category is a variety of visual function graphics libraries, such as D 3 processing libraries. Most of these visualization tools are rich in graphics and charts, but they need to be customized by developers on the basis of these libraries. Users can not directly use function libraries to visualize, and lack convenience and ease of use for users. Aiming at the shortcomings of the above several visualization tools, this paper designs and implements an extensible data visualization system framework, which can realize the general visualization process, including data import, algorithm selection, dimension mapping and visualization display. The main work is as follows: first, design and implement the transfer model of multi-format data file and point visual data, hierarchical visual data and network visual data; The second is to design and implement the visual algorithm interface standard and code editing platform. Users can edit the visual code according to the interface standard and save it into the chart library. The third is to design and realize the visualization of high-dimensional data, hierarchical data and network data, to enrich the visual chart library, and the fourth is to design and realize the function of visual chart interaction and export. Through the above work, it provides a simple and scalable data visualization solution for ordinary users, which enables users to customize different visualization solutions according to different needs. Make data visualization easier and more efficient.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP311.52
[Abstract]:With the rapid development of information science and technology, people are making and sharing all kinds of data every day, unconsciously living in the siege of big data. However, what is really meaningful to people is not the data itself, but the knowledge hidden behind the data, that is, the data becomes usable knowledge. Data visualization is a technique that allows data to speak. It uses computer graphics and image processing technology to convert data into graphics or images to be displayed on the screen and convey information to the audience through graphics and images. With the continuous development of computer technology, various kinds of data visualization tools emerge endlessly. According to the different functions, these visualization tools can be divided into three categories: the first is simple and universal type, such as Tableau, and the second is Polymaps, which is a visualization tool for specific fields, such as Dygraphs, map data in financial domain. These two kinds of visualization tools have been developed and have a complete set of data visualization function flow, users can use them directly to get visualization solutions, although they can quickly get visualization effect, However, the applicable data format and the visual charts provided are relatively fixed and single, and lack the corresponding scalability; The last category is a variety of visual function graphics libraries, such as D 3 processing libraries. Most of these visualization tools are rich in graphics and charts, but they need to be customized by developers on the basis of these libraries. Users can not directly use function libraries to visualize, and lack convenience and ease of use for users. Aiming at the shortcomings of the above several visualization tools, this paper designs and implements an extensible data visualization system framework, which can realize the general visualization process, including data import, algorithm selection, dimension mapping and visualization display. The main work is as follows: first, design and implement the transfer model of multi-format data file and point visual data, hierarchical visual data and network visual data; The second is to design and implement the visual algorithm interface standard and code editing platform. Users can edit the visual code according to the interface standard and save it into the chart library. The third is to design and realize the visualization of high-dimensional data, hierarchical data and network data, to enrich the visual chart library, and the fourth is to design and realize the function of visual chart interaction and export. Through the above work, it provides a simple and scalable data visualization solution for ordinary users, which enables users to customize different visualization solutions according to different needs. Make data visualization easier and more efficient.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP311.52
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相關期刊論文 前5條
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