1. There are many kinds of data visualization chemicals. Basically, each language has its own visualization library. Some traditional data analysis and software also extends some visualization features. Data visualization tools have the role of refining information and increasing the value of data.

2. Data visualization tools are highly practical. Big data era, the volume of data is growing very fast, and petrification tools to be able to adapt to the current big data era under the growing volume of data. It can quickly collect and analyze data, and can update the data information in real time.

3. Simple and convenient operation. Data visualization tools are easy to operate, the user's learning cost is not high, simple and easy to start. In addition it can meet the characteristics of the rapid development of modern times, can make timely and accurate response to changes in network information.

4. Rich presentation form. Data visualization tools can meet the requirements of a variety of dimensions of the data display, and support a variety of data integration methods, data sources are not only limited

What are the characteristics of the data visualization tools, Global Green Ivy Xiaobian share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to learn more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.