Massive amounts of data appear every day, and relying on traditional manual methods to present the value of the data may be too much to handle in a lifetime. We need new software and technology to understand and utilize big data collections more y. The best way to do this is to improve data visualization. Comtops Data Insight Platform, focusing on big data visualization technology, is committed to helping customers explore and utilize the value of data, and guiding customers on how to use data visualization tools to make big data more humane.

Throughout life, the application of big data is very common: Taobao uses big data to recommend product information for customers, Baidu uses big data to help people search accurately, and Google Maps uses big data to guide travel. Unbeknownst to us, data visualization has spread to every corner of our lives; after all, users are more concerned with the presentation of data results than with big data.

For example, we often use smartphones, which are both a data collection tool and a multimedia data visualization platform: for example, there are a large number of data charts in the news we read; in our entertainment movies, TV dramas, and video games, frequent data visualization elements make the work more scientific and technological; in the area of education and popularization of science, the application of data visualization is even more widespread, because everyone have lost interest in the traditional monotonous narrative, and prefer a more intuitive and efficient form of information presentation.

In the future, with the increasing popularity and integration of platforms such as smartphones, tablets, and in-vehicle computers, new means of interaction will become the trend of data visualization. So how do we display the information behind big data more quickly, y, and comprehensively? The answer is that we need a more humanized data visualization design.

How to design more humanized data visualization?

In fact, data visualization has existed for a long time, and we can present various attributes and variables of data in PPT and EXCEL. For big data, this is far from enough.

In recent years, the rapid development of big data visualization, with the expansion of the data visualization platform, the increase in the application areas, the continuous change of the form of expression, as well as the addition of such as real-time dynamic effects, the use of user interaction, etc., data visualization like all emerging concepts like the boundary continues to expand, and there are constantly cool and eye-catching visualization of the case appeared. However, the graphic design of data visualization is not the cooler the better, but to fit the needs of users.

Big data visualization should be closer to the user's habits and needs, just like traffic signs, so that the owner can accurately reach the destination on the line, without the need for complex graphics. Therefore, in the design of big data visualization, it is also necessary to adapt to local conditions:

First of all, for a simple and clear collection of big data, you can use the most primitive statistical charts such as pie charts, histograms, scatter plots, histograms, and so on, which are the most basic and most common applications of data visualization.

Secondly, when encountering complex or large-scale heterogeneous data sets, such as business analysis, financial statements, distribution of population status, media effect feedback, user behavior data, etc., it is necessary to carry out a series of complex data processing such as data collection, data analysis, data governance, data management, data mining, etc., and then the designer will design a form of expression, is it three-dimensional, two-dimensional, dynamic, real-time, or allowing interaction? or allow interaction? Finally, data engineers create corresponding visualization algorithms and technical implementation means.

These complex production steps can be achieved by current big data visualization platforms. "Contopia Big Data Insight Platform", with a large number of built-in rich visualization charts to meet the needs of customers in different scenarios, is a super-practical big data visualization tool.

Contop Data Insight Platform, customized data visualization that better fits your needs

Contop Data Insight Platform, designed based on the era of big data and the Internet, is a self-service big data visualization tool that provides you with a rich display of icon effects to help you gain insight into the potential and value of big data. The platform supports multi-terminal (PC, tablet, cell phone), cross-platform (iOS, Android, Windows) for data visualization.

Kantop Data Insight Platform supports flexible layout of multiple reports on the page, free combination, at a glance, and quick response to user needs. It can also help non-professionals to easily build professional-level visualization applications through a graphical interface to meet the needs of various industries in monitoring, scheduling, exhibition presentations, and other multi-scenario uses in daily business.

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