JobDataViewer

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基于Django的数据可视化项目

开发环境：

1. Python 3.6

2. Django 1.11.8

3. 数据可视化插件：Highcharts

4. 数据库：MongoDB

数据源

数据源来自51Job

使用Scrapy抓取

爬取项目源代码，请移步 JobCrawler

若有需要, 可以发送邮件到[email protected]索要测试数据

运行

运行需要Python3，MongoDB，请先安装

然后在键入pip install -r requirements.txt安装Python库文件

最后键入python manage.py runserver

停止

使用Ctrl + C终止服务器运行

运行截图

• 平均工资

• 工资走向

• 职位数量 Top25

• 城市职位数量比例

• 平均工资表

A Django Project For Data in JobCrawler Visualization.

Developing Environment:

1. Python Ver: 3.6
2. Django 1.11.8
3. Data Visualization Tool: Highcharts
4. Database: MongoDB

Data

Data From 51Job Use Scrapy to crawl data. You can find the project in JobCrawler

Run JobDataViewer

Before Running the project, typepip install -r requirements.txt to install requirements.

type python manage.py runserver in terminal

Stop JobDataViewer

use Ctrl + C to stop server.

Running Demo ScreenShots

• Average Salary

• Salary Trend

• Post Counts Top25

• City Ratio of Job Counts

• Average Salary Table

Version Update

Ver1.1 5/24,2018

Ajax Support Available

Now Salary Trend Function developed with Ajax, bringing higher speed than ver 1.0 Before using ajax, open the page cost 1min 30s, comparing 18s-20s now. Special thanks to @huangjiarong