# DataVisual

**Repository Path**: chanel/DataVisual

## Basic Information

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

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-04-03
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

DataVisual
==========

数据可视化平台

技术支持：SSH框架，R语言,Echarts,D3

主要功能：上传数据集、数据源格式转换、数据清洗、数据统计、聚类、关联、决策树、社会网络可视化

1、上传数据集

 ![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/上传数据集.png)
 
2、用户指南

 ![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/用户指南.png)
 
3、文件型数据读取

 ![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/文件型数据读取.png)
 
4、数据库数据读取

 ![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/数据库数据读取.png)
 
5、数据清洗——缺失值处理

 ![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/缺失值处理.png)
 
 缺失值预览——可以任意剔除和修改缺失值
   
 ![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/缺失值预览.png)
 
 缺失值统一替换
 
 ![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/缺失值处理完成.png)

6、数据统计——条形图

 ![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/统计信息-条形图.png)
 
  数据统计——折线图
  
 ![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/统计信息-折线图.png)
 
 数据统计——散点图
  
 ![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/散点图.png)
 
 数据统计——箱线图
  
 ![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/箱线图.png)
 
7、聚类分析、散点矩阵、平行坐标、饼形图

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/聚类分析参数.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/各簇聚类数目.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/散点矩阵.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/图形刷子筛选散点.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/平行坐标图.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/平行坐标筛选.png)

8、决策树、概率预测、roc曲线评价分类器性能

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/决策树分析参数.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/可交互的决策树1.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/可交互的决策树2.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/可交互的决策树3.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/概率预测.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/分类器性能评估.png)

9、社会网络——网络图、弦图

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/网络图.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/网络图选择子集.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/弦图.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/弦图选择子集.png)

10、关联规则表、平行坐标、二维矩阵

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/关联规则分析参数.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/关联规则表.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/多对多的关联规则.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/单对单规则二维矩阵.png)

11、屏幕截图

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/屏幕截图.png)

![image](https://github.com/shuiying/DataVisual/raw/master/readmeimg/截图预览.png)