13. mermaid
sequenceDiagram
爱丽丝 ->> 鲍勃: 你好鲍勃，你好吗？
鲍勃-->>约翰: 约翰，你呢？
鲍勃--x 爱丽丝: 我很好，谢谢！
鲍勃-x 约翰: 我很好，谢谢！
Note right of 约翰: 鲍勃想了很长<br/>很长的时间，太长了<br/>文本确实<br/>不能放在一行中。
鲍勃-->爱丽丝: 正在和 John 核对...
爱丽丝->约翰: 是的……约翰，你好吗？
graph LR
A[长方形] -- 链接文本 --> B((圆形))
A --> C(圆角矩形)
B --> D{菱形}
C --> D
graph TD;
A-->B;
A-->C;
B-->D;
C-->D;
flowchart TD
A[Start] --> B{Is it?}
B -->|Yes| C[OK]
C --> D[Rethink]
D --> B
B ---->|No| E[End]
flowchart TB
c1-->a2
subgraph one
a1-->a2
end
subgraph two
b1-->b2
end
subgraph three
c1-->c2
end
gantt
title 项目开发流程
section 项目确定
需求分析 :a1, 2019-06-22, 3d
可行性报告 :after a1, 5d
概念验证 : 5d
section 项目实施
概要设计 :2019-07-05 , 5d
详细设计 :2019-07-08, 10d
编码 :2019-07-15, 10d
测试 :2019-07-22, 5d
section 发布验收
发布: 2d
验收: 3d
erDiagram
CUSTOMER ||--o{ ORDER : places
CUSTOMER {
string name
string custNumber
string sector
}
ORDER ||--|{ LINE-ITEM : contains
ORDER {
int orderNumber
string deliveryAddress
}
LINE-ITEM {
string productCode
int quantity
float pricePerUnit
}
journey
title My working day
section Go to work
Make tea: 5: Me
Go upstairs: 3: Me
Do work: 1: Me, Cat
section Go home
Go downstairs: 5: Me
Sit down: 5: Me
quadrantChart
title Reach and engagement of campaigns
x-axis Low Reach --> High Reach
y-axis Low Engagement --> High Engagement
quadrant-1 We should expand
quadrant-2 Need to promote
quadrant-3 Re-evaluate
quadrant-4 May be improved
Campaign A: [0.3, 0.6]
Campaign B: [0.45, 0.23]
Campaign C: [0.57, 0.69]
Campaign D: [0.78, 0.34]
Campaign E: [0.40, 0.34]
Campaign F: [0.35, 0.78]
xychart-beta
title "Sales Revenue"
x-axis [jan, feb, mar, apr, may, jun, jul, aug, sep, oct, nov, dec]
y-axis "Revenue (in $)" 4000 --> 11000
bar [5000, 6000, 7500, 8200, 9500, 10500, 11000, 10200, 9200, 8500, 7000, 6000]
line [5000, 6000, 7500, 8200, 9500, 10500, 11000, 10200, 9200, 8500, 7000, 6000]
gitGraph
commit
commit
branch develop
commit
commit
commit
checkout main
commit
commit
pie title Pets adopted by volunteers
"Dogs" : 386
"Cats" : 85
"Rats" : 15
mindmap
root((mindmap))
Origins
Long history
::icon(fa fa-book)
Popularisation
British popular psychology author Tony Buzan
Research
On effectiveness<br/>and features
On Automatic creation
Uses
Creative techniques
Strategic planning
Argument mapping
Tools
Pen and paper
Mermaid
timeline
title History of Social Media Platform
2002 : LinkedIn
2004 : Facebook : Google
2005 : Youtube
2006 : Twitter
---
config:
sankey:
showValues: false
---
sankey-beta
Agricultural 'waste',Bio-conversion,124.729
Bio-conversion,Liquid,0.597
Bio-conversion,Losses,26.862
Bio-conversion,Solid,280.322
Bio-conversion,Gas,81.144
Biofuel imports,Liquid,35
Biomass imports,Solid,35
Coal imports,Coal,11.606
Coal reserves,Coal,63.965
Coal,Solid,75.571
District heating,Industry,10.639
District heating,Heating and cooling - commercial,22.505
District heating,Heating and cooling - homes,46.184
Electricity grid,Over generation / exports,104.453
Electricity grid,Heating and cooling - homes,113.726
Electricity grid,H2 conversion,27.14
Electricity grid,Industry,342.165
Electricity grid,Road transport,37.797
Electricity grid,Agriculture,4.412
Electricity grid,Heating and cooling - commercial,40.858
Electricity grid,Losses,56.691
Electricity grid,Rail transport,7.863
Electricity grid,Lighting & appliances - commercial,90.008
Electricity grid,Lighting & appliances - homes,93.494
Gas imports,Ngas,40.719
Gas reserves,Ngas,82.233
Gas,Heating and cooling - commercial,0.129
Gas,Losses,1.401
Gas,Thermal generation,151.891
Gas,Agriculture,2.096
Gas,Industry,48.58
Geothermal,Electricity grid,7.013
H2 conversion,H2,20.897
H2 conversion,Losses,6.242
H2,Road transport,20.897
Hydro,Electricity grid,6.995
Liquid,Industry,121.066
Liquid,International shipping,128.69
Liquid,Road transport,135.835
Liquid,Domestic aviation,14.458
Liquid,International aviation,206.267
Liquid,Agriculture,3.64
Liquid,National navigation,33.218
Liquid,Rail transport,4.413
Marine algae,Bio-conversion,4.375
Ngas,Gas,122.952
Nuclear,Thermal generation,839.978
Oil imports,Oil,504.287
Oil reserves,Oil,107.703
Oil,Liquid,611.99
Other waste,Solid,56.587
Other waste,Bio-conversion,77.81
Pumped heat,Heating and cooling - homes,193.026
Pumped heat,Heating and cooling - commercial,70.672
Solar PV,Electricity grid,59.901
Solar Thermal,Heating and cooling - homes,19.263
Solar,Solar Thermal,19.263
Solar,Solar PV,59.901
Solid,Agriculture,0.882
Solid,Thermal generation,400.12
Solid,Industry,46.477
Thermal generation,Electricity grid,525.531
Thermal generation,Losses,787.129
Thermal generation,District heating,79.329
Tidal,Electricity grid,9.452
UK land based bioenergy,Bio-conversion,182.01
Wave,Electricity grid,19.013
Wind,Electricity grid,289.366