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This article mainly explains "how to use Python+NBI to collect data". The content in the article is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn "how to use Python+NBI to collect data".

First of all, let's take a look at the overall solution architecture:

A general introduction to the idea:

(1) data acquisition and data cleaning are realized by writing python acquisition script.

(2) store the cleaned data in the database

(3) access the data repository and access the data through the NBI big data visual analysis platform

(4) make the analysis report through the report production module DIY of NBI big data visual analysis platform.

(5) save the analysis report after it has been made, and release it.

Thank you for your reading, the above is the content of "how to use Python+NBI to collect data". After the study of this article, I believe you have a deeper understanding of how to use Python+NBI to collect data, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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