Toggle navigation
大数据知识体系图
By
影之茶韵
2017-10-23 06:25:18
脚本
16
21
作品使用的第三方脚本
数据管理
上传数据
支持小于 5M 任意格式(csv, xlsx, json, xml, ...)的数据文件
上传后可以通过生成的文件链接异步获取托管的数据。
历史数据
0 条
无历史数据
代码修改记录
信息提示
保存作品
对当前截图不满意?你还可以
上传本地截图
重新截图
作品名称
作品描述
标签
geo
grid
legend
markLine
markPoint
bar
effectScatter
line
lines
map
timeline
title
toolbox
tooltip
visualMap
作品默认版本
最新
16
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1
20:11:45
图表已生成
整理代码
刷新
代码
var size = 60; var size1 = 30; var yy = 200; var yy1 = 250; option = { title: { text: "大数据知识体系图", top: "top", left: "left", textStyle: { color: '#f7f7f7' } }, tooltip: { formatter: '{b}' }, toolbox: { show: true, feature: { restore: { show: true }, saveAsImage: { show: true } } }, backgroundColor: '#337ab7', animationDuration: 1000, animationEasingUpdate: 'quinticInOut', series: [{ name: '知识体系', type: 'graph', layout: 'force', force: { repulsion: 60, gravity: 0.1, edgeLength: 30, layoutAnimation: true, }, data: [{ "name": "BigData", x: 0, y: yy, "symbolSize": 100, "category": "BigData", "draggable": "true" }, { "name": "Hadoop", x: 10, y: yy1, "symbolSize": size, "category": "Hadoop", "draggable": "true" }, { "name": "HDFS", x: 20, y: yy, "symbolSize": size1, "category": "Hadoop", "draggable": "true" }, { x: 30, y: yy1, "name": "MapReduce", "symbolSize": size1, "category": "Hadoop", "draggable": "true" }, { x: 40, y: yy, "name": "YARN", "symbolSize": size1, "category": "Hadoop", "draggable": "true", "value": 1 }, { x: 50, y: yy1, "name": "HBase", "symbolSize": size, "category": "HBase", "draggable": "true" }, { x: 60, y: yy, "name": "Zookeeper", "symbolSize": size1, "category": "其它组件", "draggable": "true" }, { x: 70, y: yy1, "name": "Hive", "symbolSize": size1, "category": "HBase", "draggable": "true" }, { x: 80, y: yy, "name": "Spark", "symbolSize": size, "category": "Spark", "draggable": "true" }, { x: 90, y: yy1, "name": "Scala", "symbolSize": size1, "category": "Spark", "draggable": "true" }, { x: 100, y: yy, "name": "Spark SQL", "symbolSize": size1, "category": "Spark", "draggable": "true" }, { x: 110, y: yy1, "name": "Spark Streaming", "symbolSize": size1, "category": "Spark", "draggable": "true" }, { x: 120, y: yy, "name": "Storm", "symbolSize": size, "category": "Storm", "draggable": "true" }, { x: 130, y: yy1, "name": "其它组件", "symbolSize": size, "category": "其它组件", "draggable": "true" }, { x: 140, y: yy, "name": "Flume", "symbolSize": size1, "category": "其它组件", "draggable": "true" }, { x: 150, y: yy1, "name": "Kafka", "symbolSize": size1, "category": "其它组件", "draggable": "true" }, { x: 160, y: yy, "name": "Pig", "symbolSize": size1, "category": "HBase", "draggable": "true" }, { x: 170, y: yy1, "name": "NoSQL", "symbolSize": size, "category": "NoSQL", "draggable": "true" }, { x: 180, y: yy, "name": "Redis", "symbolSize": size1, "category": "NoSQL", "draggable": "true" }, { x: 190, y: yy1, "name": "MongoDB", "symbolSize": size1, "category": "NoSQL", "draggable": "true" }, { x: 200, y: yy, "name": "LevelDB", "symbolSize": size1, "category": "NoSQL", "draggable": "true" }, { x: 210, y: yy1, "name": "数据挖掘", "symbolSize": size, "category": "数据挖掘", "draggable": "true" }, { x: 220, y: yy, "name": "Mahout", "symbolSize": size1, "category": "数据挖掘", "draggable": "true" }, { x: 230, y: yy1, "name": "Spark MLlib", "symbolSize": size1, "category": "数据挖掘", "draggable": "true" }, { x: 240, y: yy, "name": "Python", "symbolSize": size1, "category": "数据挖掘", "draggable": "true" }, { x: 250, y: yy1, "name": "R语言", "symbolSize": size1, "category": "数据挖掘", "draggable": "true" }, { x: 260, y: yy, "name": "行业应用", "symbolSize": size, "category": "行业应用", "draggable": "true" }, { x: 270, y: yy1, "name": "交通大数据", "symbolSize": size1, "category": "行业应用", "draggable": "true" }, { x: 280, y: yy, "name": "搜索引擎", "symbolSize": size1, "category": "行业应用", "draggable": "true" }, { x: 290, y: yy1, "name": "精确营销", "symbolSize": size1, "category": "行业应用", "draggable": "true" }, { x: 300, y: yy, "name": "环境大数据", "symbolSize": size1, "category": "行业应用", "draggable": "true" }, { x: 310, y: yy1, "name": "物联网", "symbolSize": size1, "category": "行业应用", "draggable": "true" }, { x: 320, y: yy, "name": "银行贷款风险评估", "symbolSize": size1, "category": "行业应用", "draggable": "true" }], links: [{ "source": "BigData", "target": "Hadoop" }, { "source": "BigData", "target": "Spark" }, { "source": "BigData", "target": "Storm" }, { "source": "BigData", "target": "其它组件" }, { "source": "BigData", "target": "NoSQL" }, { "source": "BigData", "target": "数据挖掘" }, { "source": "BigData", "target": "行业应用" }, { "source": "Hadoop", "target": "HDFS" }, { "source": "Hadoop", "target": "YARN" }, { "source": "Hadoop", "target": "MapReduce" }, { "source": "HBase", "target": "Hive" }, { "source": "Hadoop", "target": "HBase" }, { "source": "其它组件", "target": "Zookeeper" }, { "source": "Spark", "target": "Scala" }, { "source": "Spark", "target": "Spark SQL" }, { "source": "Spark", "target": "Spark Streaming" }, { "source": "其它组件", "target": "Flume" }, { "source": "其它组件", "target": "Kafka" }, { "source": "HBase", "target": "Pig" }, { "source": "NoSQL", "target": "Redis" }, { "source": "NoSQL", "target": "MongoDB" }, { "source": "NoSQL", "target": "LevelDB" }, { "source": "数据挖掘", "target": "Mahout" }, { "source": "数据挖掘", "target": "Spark MLlib" }, { "source": "数据挖掘", "target": "Python" }, { "source": "数据挖掘", "target": "R语言" }, { "source": "行业应用", "target": "交通大数据" }, { "source": "行业应用", "target": "搜索引擎" }, { "source": "行业应用", "target": "精确营销" }, { "source": "行业应用", "target": "环境大数据" }, { "source": "行业应用", "target": "物联网" }, { "source": "行业应用", "target": "银行贷款风险评估" }], categories: [{ 'name': 'BigData' }, { 'name': 'Hadoop' }, { 'name': 'HBase' }, { 'name': 'Spark' }, { 'name': 'Storm' }, { 'name': '其它组件' }, { 'name': 'NoSQL' }, { 'name': '数据挖掘' }, { 'name': '行业应用' }], roam: false, label: { normal: { show: true, position: 'inside', formatter: '{b}', fontSize: 16, fontStyle: '600', } }, lineStyle: { normal: { width: 6, color: 'source', curveness: 0, type: "solid" } } }] };