About our Repository (English)

1. Why did we choose and create this project?

This is our final project for the Python Data Analysis course. We selected the United States' authoritative institution SSA and analyzed the data of American newborns from 1880 to 2010. Through this project, we also gained insights into different data prediction models.

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2. What did we do?

We downloaded the data online (without using web scraping) and consolidated it into a single document. We analyzed the data based on gender, annual birth rates, and names. Additionally, we employed various models for data prediction and conducted comparisons. Furthermore, we explored data querying functionalities and the ability to export output results.

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Note: As I did not retrieve the relevant data from the internet through web scraping and due to potential copyright concerns, I have decided not to upload this portion of the content to our project. You can download the data yourself by visiting the following link:

Link: https://github.com/wesm/pydata-book/tree/3rd-edition/datasets/babynames

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关于我们的项目 (简体中文)

1. 我们为什么要选择并制作这个项目？

这是我们的Python的数据分析的期末课程项目，我们选择了美国的权威机构SSA的从1880年到2010年的美国新生儿的数据分析，同时也通过这次项目，了解了不同的数据预测模型。

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2. 我们做了什么？

我们通过网上下载数据(不是通过爬虫的手段)，并将这些数据合并整合为一个文档，我们对这些数据进行了性别、每年的出生人数以及姓名的分析，并通过多种模型进行数据预测，并进行对比。同时，我们也尝试了数据查询功能以及输出结果导出的功能。

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注意：因为我并不是通过爬虫的方式从网上获取相关的数据，而是直接下载数据，而且受限于潜在的版权问题，最终我决定不将这部分内容上传到我们的项目中，需要您自行前往下面的链接进行下载。

Link: https://github.com/wesm/pydata-book/tree/3rd-edition/datasets/babynames