How to grab National Medical Expenditure data with Python

This article mainly introduces "how to use Python to grab national medical cost data". In daily operation, I believe many people have doubts about how to use Python to grab national medical expense data. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the doubt of "how to use Python to grab national medical expense data". Next, please follow the editor to study!

The whole world is plagued by pandemics, and different countries have come up with different coping strategies and achieved different results. This is also the brain source of this article. The author intends to study the expenditure on medical infrastructure in various countries and visualize the data of medical expenses in several countries.

Since no reliable data sources for the last year have been found, 2016 data are used here. The data show which country spends the most and which country spends the least. I've always wanted to try web crawling and data visualization in Python, which is a good project. While manually entering data into Excel is certainly much faster, it doesn't have a valuable opportunity to practice some skills.

Data science is the use of various toolkits to solve problems. Network crawling and regular expressions are two areas that I need to study. The results are short but complex, and the project shows how to combine the three technologies to solve data science problems.