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This article mainly explains "what are the tools commonly used by web data analysts". Interested friends may wish to take a look. The method introduced in this paper is simple, fast and practical. Let Xiaobian take you to learn "What are the tools commonly used by web data analysts"!

1、Excel

Excel isn't just office software; in fact, Excel is one of the most versatile data analysis tools available. It's a low-tech, easy-to-use data analysis tool with powerful functions, visual charts, and neatly arranged spreadsheets that give you quick and deep insight into the hidden side of your data. As a data analysis entry software, Excel spreadsheet production, pivot table, VBA and other functions, to ensure that people can analyze according to the needs, can process scattered data into the content we need, in addition, it is also a good storage data container.

2、Python

Compared with other data analysis tools, Python has relatively more applications in the field of big data analysis, and Python has unparalleled advantages in statistical analysis and predictive analysis. Python is highly professional, so it can be used to achieve a variety of data analysis and data visualization open source code base is widely used, combined with Hadoop, Hive and other components can effectively process massive data. It also has but is not limited to network data crawling, data cleaning, data modeling and other functions, and is suitable for advanced data mining and analysis fields such as text mining.

3. BI tools

BI tools are born for data analysis, and their product design is almost designed according to the process of data analysis. First, data processing, sorting and cleaning, then data modeling, and finally data visualization, the whole process revolves around the idea of data guiding operational decision-making. Due to the functional focus, the product is also very simple to operate and is very suitable for commercial data analysis.

At this point, I believe that everyone has a deeper understanding of "what tools are commonly used by web data analysts". Let's actually operate it! Here is the website, more related content can enter the relevant channels for inquiry, pay attention to us, continue to learn!

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