What are the recommended data analysis visualization tools?

Python & Tableau: Business Data Analytics & Visualization. Tableau's program is easy to use, allowing companies to drag and drop large amounts of data onto a digital canvas and create charts in the blink of an eye.

The idea is that the easier the data on the interface is, the better the company will know whether what it is doing is right or wrong in its area of business.

Rapid analysis: Connect and visualize data in minutes. Tableau is 10 to 100 times faster than other existing solutions.

Big data, any data: Whether it's electronics**, databases, or Hadoop and cloud services, any data can be easily explored.

Course Catalog: Pre-course - Python application and efficiency improvement in consulting, finance, four major and other fields.

Python basics.

Getting Started with Python: Anaconda-based vs. Excel-based Python installation and interface.

Simple math calculations.

Python Data Analysis - Time Series 2 - Data Manipulation and Graphing.

Python Data Analysis - Time Series 3 - Time Series Decomposition.

You can consider Microsoft Excel, Power BI

You can also consider Tableau

Or Google Data Studio, etc., are good tools.

If you are at station B, you can use the fire cloud data.

It is recommended that you use the visualization report, you can make a data visualization of the multi-terminal display of the fast sail track, especially the large screen display, the view report system has a very multi-chart style, in addition to the large screen display, you can also use the mobile terminal, the PC side, the large screen and other multi-terminal display, the chart is like **ps, according to the needs of a variety of databases or local data (excel), quickly select the chart style, adjust your favorite style (such as blue science and technology). You can try it out.

Cloud spider system, the best choice for data visualization.

Practical data visualization and analysis software needs to do the following: 1. The product is stable enough to avoid problems such as data connection interruption and data display confusion. Enterprise data is large and complex, and once there is data confusion, it will be a huge workload.

You may have to spend several times more time remedying it than before. 2. The development of enterprises with real-time analysis functions is a race against time, the market is changing at any time, and decision-making needs to be adjusted at any time, so if the real-time data can be ensured, it can handle the amount of big data. It will be a great help for the operation of the enterprise.

3. The style requirements are higher, after all, the report is for the boss to see, the concise and clear style can not only make people happy, but also easier for people to see the outstanding points at a glance, so that the people who read the report can quickly understand the data and make scientific decisions. 4. At the same time, it supports multiple types of terminal equipment such as computer and mobile terminal to adapt to any terminal, accompanied by the diversification of enterprise office, and the management of the enterprise should also break through the limitations of time and space, check the operation status of the enterprise anytime and anywhere, and make timely analysis to get rid of the limitations of the computer side, so as to realize real-time monitoring and access to data on the mobile terminal. After all, for many business executives, it will be more efficient to consult real-time data at any time on the road and grasp the dynamic changes in business operations.

5. Support a variety of data sourcesSome companies need to deal with a variety of different data sources, so if the data analysis software can support a variety of data sources, it will be more efficient and convenient to process data. 6. The demand for data mining plays a guiding role in the issuance of relevant policies through the trend of data changes, and plays a guiding role in the implementation of subsequent bridge sail bench policies. 7. The automatic identification function is to be able to appropriately identify the errors of key data and mark them.

Only when the data used is correct can the scientific data be supported. This is an important point. 8. Simple and convenient operation, data visualization and analysis software itself is born to improve the efficiency of enterprise data analysis and provide scientific data support for decision-making.

Therefore, in terms of use, in order to ensure its high efficiency, its operation is required to be simple and convenient. Aowei launched the big data visualization analysis software (OURWAYBI) using ZUI's new front-end and back-end technology, faster, stronger and cooler, unique memory OLAP, easy to complete the creation of analysis models, high-performance tens of billions of data analysis response in seconds, based on H5, one-time development, adaptive devices, optimize the ultimate mobile experience, collect data from any business system, break the information island, and realize the opening and sharing of data within the enterprise. Drag-and-drop operation, salesmen can also get started quickly.

After decades of development, business intelligence BI such as ourwaybi has developed relatively well, with complete functions, high stability, fast running speed, convenient and simple operation, and supports multiple types of terminal equipment such as computers and mobile terminals, as well as a variety of data sources.