MkDocs Diagrams Flow Chart graph TD
A[Christmas] -->|Get money| B(Go shopping)
B --> C{Let me think}
C -->|One| D[Laptop]
C -->|Two| E[iPhone]
C -->|Three| F[fa:fa-car Car]
Sequence Diagram sequenceDiagram
Alice->>+John: Hello John, how are you?
Alice->>+John: John, can you hear me?
John-->>-Alice: Hi Alice, I can hear you!
John-->>-Alice: I feel great!
Class Diagram (aka UML Diagram) classDiagram
Animal <|-- Duck
Animal <|-- Fish
Animal <|-- Zebra
Animal : +int age
Animal : +String gender
Animal: +isMammal()
Animal: +mate()
class Duck{
+String beakColor
+swim()
+quack()
}
class Fish{
-int sizeInFeet
-canEat()
}
class Zebra{
+bool is_wild
+run()
}
State Diagram (v2) stateDiagram-v2
[*] --> Still
Still --> [*]
Still --> Moving
Moving --> Still
Moving --> Crash
Crash --> [*]
Gantt Diagram gantt
title A Gantt Diagram
dateFormat YYYY-MM-DD
section Section
A task:a1, 2014-01-01, 30d
Another task:after a1, 20d
section Another
Task in sec:2014-01-12, 12d
another task:24d
Pie pie title Pets adopted by volunteers
"Dogs" : 386
"Cats" : 85
"Rats" : 15
Entity Relationship Diagram erDiagram
CUSTOMER }|..|{ DELIVERY-ADDRESS : has
CUSTOMER ||--o{ ORDER : places
CUSTOMER ||--o{ INVOICE : "liable for"
DELIVERY-ADDRESS ||--o{ ORDER : receives
INVOICE ||--|{ ORDER : covers
ORDER ||--|{ ORDER-ITEM : includes
PRODUCT-CATEGORY ||--|{ PRODUCT : contains
PRODUCT ||--o{ ORDER-ITEM : "ordered in"
User Journey 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: 3: Me
Mind Map mindmap
root((mindmap))
Origins
Long history
::icon(fa fa-book)
Popularisation
British popular psychology author Tony Buzan
Research
On effectivnessQuadrant Chart 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]
Timeline timeline
title History of Social Media Platform
2002 : LinkedIn
2004 : Facebook
: Google
2005 : Youtube
2006 : Twitter
XY Chart (Beta) 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]
Block (Beta) block-beta
columns 3
doc>"Document"]:3
space down1<[" "]>(down) space
block:e:3
l["left"]
m("A wide one in the middle")
r["right"]
end
space down2<[" "]>(down) space
db[("DB")]:3
space:3
D space C
db --> D
C --> db
D --> C
style m fill:#d6d,stroke:#333,stroke-width:4px
TCP Packet (Beta) packet-beta
0-15: "Source Port"
16-31: "Destination Port"
32-63: "Sequence Number"
64-95: "Acknowledgment Number"
96-99: "Data Offset"
100-105: "Reserved"
106: "URG"
107: "ACK"
108: "PSH"
109: "RST"
110: "SYN"
111: "FIN"
112-127: "Window"
128-143: "Checksum"
144-159: "Urgent Pointer"
160-191: "(Options and Padding)"
192-255: "Data (variable length)"
Architecture (Beta) architecture-beta
group api(cloud)[API]
service db(database)[Database] in api
service disk1(disk)[Storage] in api
service disk2(disk)[Storage] in api
service server(server)[Server] in api
db:L -- R:server
disk1:T -- B:server
disk2:T -- B:db
Sankey Diagram (Beta) ---
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
Git Graph gitGraph
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Git Graph (Dark Theme) %%{init: { 'logLevel': 'debug', 'theme': 'dark' } }%%
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