Five Common Visual Analysis Tools for Big Data

FineReport is an enterprise-level web report tool written in pure Java, which integrates the functions of data display (report) and data entry (form). You can design complex Chinese-style reports and build a data decision analysis system by simply dragging and dropping.

2. Electronic chart

As mentioned above, Echarts is an open source and free javascript data visualization library, which allows us to easily draw professional business data charts.

Everyone knows the Baidu big data products reported in the Spring Festival last year and the recent big plans of CCTV, such as Baidu migration, Baidu Sina and Baidu big data forecast. The data visualization of these products is realized through ECharts.

3、FineBI

FineBI is a new generation of business intelligence products for self-service big data analysis, which provides complete solutions from data preparation, self-service data processing, data analysis and mining, and data visualization. It is also one of the visualization tools I admire.

FineBI's sense of use is similar to Tableau's, and both advocate visual exploratory analysis, which is a bit like an enhanced PivotTable. Easy to use, rich visual library. It can be used as a portal for data reporting and a platform for business analysis.

4, pyelography

Echarts (mentioned below) is an open source and free javascript data visualization library, which allows us to easily draw professional business data charts. When Python met Echarts, pyecharts was born. It is an Echarts Python interface maintained by a group of developers such as chenjiandongx, which allows us to draw various Echarts charts in Python language.

5, scattered scenery

Bokeh is an interactive data visualization tool based on Python, which provides elegant and concise methods to draw various graphs, and can visualize large data sets and stream data with high performance, helping us to make interactive charts and visual dashboards.