Big data and visualization

The development of computer technology and information technology is getting faster and faster, and with the arrival of the era of big data, the amount of data and information we have to deal with is improving and increasing, which makes the processing of data and information more and more difficult and complex. The research on big data has been a hot issue in various countries in the world today, and the existing methods of data mining, machine learning, statistical analysis, etc. still have problems that can’t be ignored when dealing with complex data or exploratory analysis, and many researchers now believe that combining human cognitive ability in machine intelligence is an effective means to improve the efficiency of machine computation and analysis.

The challenges of dealing with the complexity of big data mainly lie in the complexity of data, cognitive limitations, and the diversity of tasks. First of all, many occasions of data analysis and decision-making are human-centered, and it is necessary to focus on human perception and cognitive factors, design a highly expressive presentation of complex data (massive high-dimensional, multi-source heterogeneous, real-time changes, dynamic fuzzy), and explore efficient methods of data organization, querying, and mining to support interactions; second, with the concept of various types of big data, Internet of Things and other concepts of the ground and the expansion of the demand, the emergence of a higher and more Secondly, with the implementation of various big data, Internet of Things and other concepts and the expansion of demand, there are more and more requirements for fine-grained analysis and intelligent mining, and the analysis and reasoning of events in the complex space pose a great challenge to the analysis methods in terms of cognitive intuition, real-time and accuracy; furthermore, big data contains complex and large-scale spatial structure, rapid physical operation and evolution, as well as a large number of human life and social activities, which lead to infinite diversity of demand, and how to play the respective advantages of human intelligence and machine intelligence has become the core challenge. machine intelligence have become the core challenge.

Information visualization is an interactive visual interface that assists human beings in acquiring knowledge from data, synthesizing human brain intelligence and machine intelligence by converting data into easy-to-understand and easy-to-interpret visual representations, and dramatically improving the efficiency of data processing. Visual technology is not only able to show the figurative data and information, but also able to transform the abstract data information into figurative and visualized manifestation, which is more convenient for us to observe the change rule of data. Since the beginning of the 21st century, the international gradually formed a visual analytics research boom, the use of information visualization has been deeply rooted in people’s hearts, and gradually become the scientific computing, business intelligence, media, security and other fields of universal technology.

Your task

How to visualize big data? This can be illustrated with an example.

Share your thoughts and ideas in the comments below.