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