Data visualization software: Let the data

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speak Data visualization software can transform complex data into intuitive and easy-to-understand charts, helping us quickly discover patterns and trends in the data. There are many data visualization software on the market, each with its own characteristics and suitable for different users. Commonly used data visualization software 1. Tableau Features: Powerful, highly interactive, and beautiful visualization effects.


Advantages: Supports multiple data sources, drag-and-drop operations Email List and can create complex charts without writing code. Applicable people: Data analysts, business intelligence practitioners, data scientists. Opens in a new Tableau interface 2. Power BI Features: Deeply integrated with the Microsoft Office ecosystem and easy to operate. Advantages: Suitable for internal data analysis in enterprises, and can be seamlessly connected with tools such as Excel and Power Query.





Applicable people: Internal users of enterprises, especially Excel users. Opens in a new window Power BI interface 3. Python (Matplotlib, Seaborn) Features: Programming language, highly customizable, suitable for scientific research and data analysis. Advantages: High flexibility, can create various types of charts, suitable for users with a basic understanding of programming. Applicable people: Programmers, data scientists. Opens in a new window Python Matplotlib example 4. R Features: A powerful tool for statistical analysis and data visualization, with rich extension packages.