It has been said that we are in the era of big data. What is big data? Big data refers to data with large index data, diversified types, low value density but high price and high timeliness requirements. Data visualization can summarize big data, find the processing process of location information by using data analysis and development tools, and finally display it in pictures or images.
Basic concepts of data visualization:
Every data item in the database is represented by that element of the graph, and a large number of data sets constitute data images. At the same time, each attribute value of the data and the form of multidimensional data are represented, so that data can be observed from different dimensions, so as to conduct more in-depth observation and analysis of the data.
Theoretical model of data visualization:
Data transformation converts the raw data to a data table form (data standardization) visualization mapping table map data for structure of visualization, by mark, and mark the visualized graphic attributes such as characterization of (build visual structure) will view transformation visual structure according to its location, scale, size set parameters, such as displayed in the output device (visual output)
It has taken several decades for data visualization to form such a mature form today, from the exploration in the 15th century to the golden age of development in the 20th century.
Data visualization comes in many graphical forms:
Line charts, bar charts, pie charts, radar charts, bubble charts, ring charts, area charts, bar charts, scatter charts, data charts, and various types of maps, etc. :
Data visualization is also widely used in real life:
Company financial statements, Company Sales Statistics, Economic Trends, Stock Trends, Data Mining, electronic Maps, MRI, CT scanning, geological exploration, oil and gas exploration, weather forecasts, census…
UK flight destination statistics
World soft drink brand architecture and market share
China accepts remittances from overseas Chinese
Data visualization method are many, the traditional data visualization methods such as pie chart, histogram, scatter plot these have no way to meet the complex or alien force data sets, such as business analysis, financial statements, the condition of population distribution, the effect of media feedback, the user behavior data, we need to have the data visualization method can deal with complex situations.
trendmap2007
News Map is a visual representation of real-time news feedback on Google news aggregator. The size of the data block corresponds to the popularity of the news.
Music map: A page that shows associations between music by connecting lines
Data visualization is not simply about presenting solid existing data, but about analyzing existing data to discover unknown information.
There are many ways to analyze data:
1. In situ interactive analysis technology
When performing visual analysis, analyze as much of the data in memory as possible.
2. Data storage technology
Big data is an extension of cloud computing, and the emergence of cloud services and their applications has profoundly affected multi-scale database and storage communities.
3. Parallel computing
Parallel processing can effectively reduce the time occupied by visual calculation, so as to realize real-time interaction of data analysis.
4. Visual analysis algorithm
The visualization algorithm of big data should not only consider the data scale, but also consider the efficient method of visual perception, which needs to introduce innovative visual representation methods and user interaction means.
5. User interface and interaction design
User-driven data simplification, scalability and multi-level level, heterogeneous data fusion, data profiling and streaming in interactive queries, presentation evidence and uncertainty, time-varying feature analysis, design and engineering development, etc.
Data visualization is a hot topic in the field of information security, but also because many companies want to convert large data into information visualization of various forms, in order to gain a deeper insight, better decision-making and stronger ability of automated processing, data visualization has become an important trend of the data.
Shanhai Whale visualization is a new generation of intelligent data visualization big screen software, the software focuses on data visualization big screen application, not only supports the intelligent identification and data processing of imported data, but also provides a powerful visual big screen editing function. It includes rich data source formats, various types of visual components, flexible large-screen sharing and deeply optimized visual editing experience. In addition, the software also built-in a large number of visual large screen templates, providing rich resources for users to create visual large screen, so as to further reduce the difficulty of creating visual large screen.