# python_week15_work

**Repository Path**: wu_xiao_jing/python_week15_work

## Basic Information

- **Project Name**: python_week15_work
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-12
- **Last Updated**: 2021-06-12

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# python_week15_work

#### python数据分析——Flask网站
{使用胡润商业数据进行数据分析}

## 一、使用pandas进行数据分析
### 1.读取数据集

![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/%E6%95%B0%E6%8D%AE%E8%AF%BB%E5%8F%96.png)

### 2.数据清洗、数据筛选、空缺值处理等

#### 2.1数据的拆分

![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/%E6%95%B0%E6%8D%AE%E7%9A%84%E6%8B%86%E5%88%86.png)

#### 2.2数据的索引堆叠

![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/%E6%95%B0%E6%8D%AE%E7%9A%84%E5%A0%86%E5%8F%A0.png)

#### 3.3对数据进行重命名

![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/%E5%AF%B9%E6%95%B0%E6%8D%AE%E8%BF%9B%E8%A1%8C%E9%87%8D%E5%91%BD%E5%90%8D.png)

### 3.数据的统计计算

#### 3.1数据的合并准备

![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/%E6%95%B0%E6%8D%AE%E5%90%88%E5%B9%B6%E5%87%86%E5%A4%87.png)

#### 3.2数据的合并

![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/%E6%95%B0%E6%8D%AE%E7%9A%84%E5%90%88%E5%B9%B6a.png)
![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/%E6%95%B0%E6%8D%AE%E7%9A%84%E5%90%88%E5%B9%B6b.png)

#### 3.3数据的统计计算

![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/%E7%BB%9F%E8%AE%A1%E8%AE%A1%E7%AE%97.png)

### 4. 数据可视化

![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/%E6%95%B0%E6%8D%AE%E5%8F%AF%E8%A7%86%E5%8C%96a.png)
![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/%E6%95%B0%E6%8D%AE%E5%8F%AF%E8%A7%86%E5%8C%96b.png)
![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/%E6%95%B0%E6%8D%AE%E6%9F%B1%E7%8A%B6%E5%9B%BE.png)
## 二、数据网站展示

![](https://gitee.com/wu_xiao_jing/python_week15_work/raw/master/%E7%9B%B8%E5%85%B3%E5%9B%BE%E7%89%87/flask.png)

## 三、数据说明

### 1.介绍可展示数据

#### 可展示数据
* 部分投资公司
* 独角兽数据中相关企业名称
* 企业掌门人/创始人


### 2.数据的说明、结论和价值
* 通过对胡润商业数据的读取、拆分、重命名以及合并，我们可以在同一列表中查找到企业名称和企业的掌门人/创始人以及对该企业进行投资的投资公司.
* 通过对数据的对比分析，我们可以看出中国企业的创始人多为一人，而其他国家的企业创始人不仅限于一人；中国企业的投资公司也较多为一个公司，其他国家则有多个投资公司。对此我们可以通过该图看出中外企业的结构差异。