Data Visualization Definition: Enhancing people's efficiency in completing certain tasks through visual expression. Data visualization Data storage is a method often used in modern business activities. Compared with other methods, it can make data changes more intuitive. After a large amount of data visualization, many people will choose to visualize The data is stored, and the significance of data visualization: as a kind of external memory, visualization stores information to be processed outside the human brain, which can supplement the limited memory of the human brain and help solve the problem of limited memory and attention of the human brain . At the same time, graphical symbols can direct the user's attention to important goals and can effectively convey information. Traditional visualization methods can be roughly divided into two categories: exploratory visualization and explanatory visualization. So, what are the benefits of data visualization storage ?
1. Visual data storage is convenient for subsequent analysis
In many cases, business activities cannot be judged directly through the results. It often requires a large amount of data comparison by the data analyzer to judge whether the final result is good or bad. Generally, the comparison uses the data charts generated in the previous period, so use It is still very important for data analyzers to visualize and store data .
2. Visual data storage meets unexpected needs
Under normal circumstances, the data of commercial activities has a certain storage time, and then it is obviously inconvenient to store a large amount of raw data, but after visualizing the data with a data analyzer, it is much more convenient to store, and if there is any need In the case of previous data, the results can be retrieved from the database immediately, avoiding the waste of time caused by rearranging the data or re-analyzing the data.
Data visualization storage is very necessary for many companies, and data comparison is very common, so it is necessary to retain the previous results, and generally these results are stored in professional data analyzers, which do not require Enterprises then go to develop specialized data analyzer software.