```radialbarchart
title Streaming Satisfaction Ratings
width 400
height 400
backgroundcolor "rgb(50,100,50,0.2)" white white "rgb(50,100,50,0.2)" -
datacolors lightgreen orange #d77
"Netflix"  65
"Hula" 70
"Amazon Prime" 64
Youtube 6
Britbox 74
Stan 82
```

```piechart
title Pets adopted by volunteers
subtitle "Excludes paid volunteers" "and Management"
source "Locally sourced data"
width 400
height 400
columnlabel Animal "Number Adopted"
# If there is more than one color, then a gradient is shown
# By default the gradient is left to right.
# This can be changed by adding a | or / or \ or - to make 
# it flow in a different direction, or o to flow from the centre
backgroundcolor #c0c040 lightblue
Dogs 386
Pigs 185 offset
Cats  85
Fish  81
# You can highlight slices using offset
# of even make the whole pie look exploded by adding offset to them all
Octopii  134
Goats  129
Llamas  154
Rats  25
```

```xychart
title "US Sales Revenue 2024"
subtitle "Excluding technology" "Military and misc goods"
backgroundcolor #eee
datacolors red
width 600
x-axis jan,feb,mar,apr,may,jun,jul,aug,sep,oct,nov,dec
# y-axis zero 50%  100%
bar -2000, 1000, 2500, 4200, 6000, 7200, 8000, 8200, 7200, 5500, 5000, 4000
```

```xychart
title "Americas Sales Revenue"
backgroundcolor #f8f8f8
width 600
rowlabel US Canada
x-axis jan,feb,mar,apr,may,jun,jul,aug,sep,oct,nov,dec
# y-axis zero 50%  100%
bar 5000, 6000, 7500, 8200, 9500, 10500, 11000, 10200, 9200, 8500, 7000, 6000
label Important	"This is important"	85	5
bar 2000, 3000, 3500, 4200, 6500, 7500, 8000, 8200, 7200, 5500, 5000, 4000
```

```xychart
title "EU Revenue"
width 600
backgroundcolor #f8f8b0
datacolors #fdf #0df #08f #00f
rowlabel UK Western Eastern Southen
x-axis jan,feb,mar,apr,may,jun,jul,aug,sep,oct,nov,dec
bar 1500, 2400, 3500, 4200, 5000, 5500, 6600, 7200, 7250, 6500, 5000, 4300
line 5000, 6000, 7500, 8200, 9500, 10500, 11000, 10200, 9200, 8500, 7000, 6000
line 2000, 3000, 3800, 5200, 6500, 7500, 8000, 8200, 7200, 5500, 5000, 4000
line 1000, 2500, 3200, 3900, 3500, 4500, 5000, 5500, 5800, 5400, 3400, 3000
```

```xychart
title "EU Revenue"
width 600
datacolors red green blue
rowlabel Western Eastern Southen
x-axis jan,feb,mar,apr,may,jun,jul,aug,sep,oct,nov,dec
y-axis 0 5500 11000
line 5000, 6000, 7500, 8200, 9500, 10500, 11000, 10200, 9200, 8500, 7000, 6000
line 2000, 3000, 3800, 5200, 6500, 7500, 8000, 8200, 7200, 5500, 5000, 4000
filledline 1000, 2500, 3200, 3900, 3500, 4500, 5000, 5500, 5800, 5400, 3400, 3000
```

```xychart
title "Asia Sales Revenue"
width 600
backgroundcolor antiquewhite
rowlabel China India Others
x-axis jan,feb,mar,apr,may,jun,jul,aug,sep,oct,nov,dec
y-axis 0 2750 5500 7750 11000
smoothline 5000, 6000, 7500, 8200, 9500, 10500, 11000, 10200, 9200, 8500, 7000, 6000
smoothline 1500, 2400, 3500, 4200, 5000, 5500, 6600, 7200, 7250, 6500, 5000, 4300
smoothline 2000, 3000, 3700, 4700, 6500, 7500, 8000, 8200, 7200, 5500, 5000, 4000
```

```xychart
  title "Worldwide Revenue"
  width 600
  backgroundcolor papayawhip
  rowlabel Americas Europe Asia Oceana Africa
  x-axis jan,feb,mar,apr,may,jun,jul,aug,sep,oct,nov,dec
  y-axis 0 19000 38000
  stackedbar 1500, 2400, 3500, 4200, 5000, 5500, 6600, 7200, 7250, 6500, 5000, 4300
  stackedbar 5000, 6000, 7500, 8200, 9500, 10500, 11000, 10200, 9200, 8500, 7000, 6000
  stackedbar 2000, 3000, 3500, 4200, 6500, 7500, 8000, 8200, 7200, 5500, 5000, 4000
  stackedbar 1000, 2500, 3200, 3900, 3500, 4500, 5000, 5500, 5800, 5400, 3400, 3000
  stackedbar 3000, 3400, 4200, 4900, 4500, 5010, 5900, 6300, 6100, 1900, 300, 100
```

```xychart
title "Migration to the US by world region, 1820-2009"
backgroundcolor antiquewhite
width 600
datacolors  crimson cyan darkviolet darkgreen yellow navy mediumvioletred mediumslateblue greenyellow orange rebeccapurple deepskyblue maroon green yellow navy red maroon darkblue
y-axis 0 1M 2M 3M 4M 5M 6M 7M 8M 9M 10M 11M
x-axis 1825	1835	1845	1855	1865	1875	1885	1895	1905	1915	1925	1935	1945	1955	1965	1975	1985	1995	2005
stackedline Austria-Hungary	0	0	0	0	3375	60127	314787	534059	2001376	1154727	60891	13902	13677	113015	27590	20387	20437	27529	33929
stackedline Germany	5753	124726	385434	976072	723734	751769	1445181	579072	328722	174227	386634	117736	119403	576905	209616	77142	85752	92207	122373
stackedline Ireland	51617	170672	656145	1029486	427419	422264	674061	405710	344940	166445	201644	28195	15701	47189	37788	11461	22210	65384	15642
stackedline Italy	430	2225	1476	8643	9853	46296	267660	603761	1930475	1229916	528133	85053	50509	189061	200111	150031	55562	75992	28329
stackedline Russia	86	280	520	423	1667	34977	173081	413382	1501301	1106998	61604	2473	605	453	2329	28132	33311	433427	167152
stackedline "Norway and Sweden"	91	1149	12389	22202	82937	178823	586441	334058	426981	192445	170329	13452	17326	44231	36150	10298	13941	17825	19382
stackedline "United Kingdom"	26336	74350	218572	445322	532956	578447	810900	328759	469518	371878	342762	61813	131794	195709	220213	133218	153644	156182	171979
stackedline "Rest of Europe"	15305	49451	94887	140469	98448	179347	366573	377610	569256	588775	808343	121780	123509	238410	399646	395658	284837	480673	790823
stackedline China	3	8	32	35933	54028	133139	65797	15268	19884	20916	30648	5874	16072	8836	14060	17627	170897	342058	591711
stackedline India	9	38	33	42	50	166	247	102	3026	3478	2076	554	1692	1922	18638	148018	231649	352528	590464
stackedline Philippines	0	0	0	0	0	4	1	19	605	0	0	457	4099	17245	70660	337726	502056	534338	545463
stackedline "Rest of Asia"	22	9	56	105	330	762	5107	45915	276926	245342	94016	12407	12669	107841	255205	903155	1486754	1630975	1743197
stackedline "Canada and Newfoundland"	2297	11875	34285	64171	117975	323974	492508	2668	123067	708715	949286	162703	160911	353169	433128	179267	156313	194788	236349
stackedline Mexico	3835	7187	3069	3446	1957	5133	2405	734	31188	185334	498945	32709	56158	273847	441824	621218	1009586	2757418	1704166
stackedline Caribbean	3061	11792	11803	12447	8809	14592	27600	31885	100960	120860	83482	18052	46285	115869	427843	708643	789343	1004114	1053357
stackedline "Rest of America"	463	1057	1370	4137	1686	2190	7332	3469	22667	55630	59565	16855	65081	178759	371390	394508	739262	1180822	1447657
stackedline "Central America"	57	94	297	512	70	202	359	674	7341	15692	16511	6840	20135	40201	98569	120376	339376	610189	591130
stackedline "South America"	405	957	1062	3569	1536	1109	1954	1389	15253	39938	43025	9990	19662	78418	250754	273529	399803	570596	856508
stackedline Africa	19	66	67	104	458	441	768	432	6326	8867	6362	2120	6720	13016	23780	71405	141987	346410	759734
stackedline Oceania	2	1	3	110	107	9094	7341	3279	11677	12339	9860	3240	14262	11319	23659	39983	41432	56800	65793
stackedline "Not Specified"	19173	83495	7196	71442	15472	592	778	14112	33493	488	930	0	135	12472	119	326	305406	25928	211930
```

```donutchart
title Exotic Pets adopted in Italy
width 400
height 400
backgroundcolor "rgb(0,200,0,0.5)" white white "rgb(200,0,0,0.5)" -
donut 120 "Excludes" "Crocodiles and Alligators" "(and selected reptiles)"
Octopii  134
# You can highlight slices using offset
# of even make the whole pie look exploded by adding offset to them all
Goats  129 offset
Llamas  154
```

```polarchart
title EV Market Share by Country
width 400
height 400
backgroundcolor #c0c040
columnlabel Country, "Market Share", Cost
United States,2.8,35000
China,5.6,30000
Norway,74.7,55000
Germany,3.3,40000
United Kingdom,10.7,45000
Netherlands,30.0,50000
```

```radialbarchart
title Streaming Satisfaction Ratings
width 400
height 400
backgroundcolor "rgb(50,100,50,0.2)" white white "rgb(50,100,50,0.2)" -
datacolors lightgreen orange #d77
"Netflix"  65
"Hula" 70
"Amazon Prime" 64
Youtube 6
Britbox 74
Stan 82
```

```sparkline
title Seasonal Onboarding
height 200
width 600
padx 40
pady 40
x-axis "Summer" "Fall" "Winter" "Spring"
backgroundcolor #c0c040 'rgb(200,230,250,0.5)'
datacolors orange  darkred lightblue  greenyellow
34,70,39,47,54,39,42,34,26,32,27,54,19,52,34,46,39,17,15,29,32,34,26,29,27,29,19,22,
```

```scatterChart
title Irises
x-axis "Short Petal"  "Long Petal"
y-axis "Narrow Sepal" "Wide Sepal"
backgroundcolor beige
columnlabel "Narrow Sepal" "Wide Sepal"
scattertype simple
9	22
14	25
13	35
23	35
30	47
38	24
40	50
23	58
51	60
28	60
57	79
66	75
73	80
85	78
80	83
85	97
90	103
95	101
80	110
85	112
```

```scatterChart
title Campaigns
x-axis "Low Reach" "High Reach"
y-axis "Low Engagement" "High Engagement"
backgroundcolor #f8f0f0
datacolors #C47ADA
columnlabel Campaign, "Reach", Engagement
scattertype bubble
# bubble charts have a label, x-value, y-value and a (option) bubble size
"Campaign A", 0.3, 0.6,5
"Campaign B", 0.45, 0.23,9
"Campaign C", 0.57, 0.69,3
"Campaign D", 0.78, 0.34,13
"Campaign E", 0.40, 0.34,14
"Campaign F", 0.35, 0.78,7
```

```scatterChart
title Vehicle Speed vs Power
x-axis "Slower"  "Faster"
y-axis "Low Power" "Higher Power"
backgroundcolor beige
columnlabel Speed Power
scattertype grouped
# grouped scatter charts have an x-value, a y-value and a group name
9	22  sedan
14	25  sedan
13	35  sedan
23	35  sedan
30	47  sedan
38	24  pickup
40	50  pickup
23	58  sedan
51	60  pickup
28	60  pickup
57	79  pickup
66	75  pickup
73	80 coupe
85	78  pickup
80	83  pickup
85	97 coupe
90	103 coupe
95	101 coupe
80	110 coupe
85	112 coupe
```

```radarChart
title Goal Scorers
backgroundcolor beige  khaki  
columnlabel 'Robert Lewandowski', 'Cristiano Ronaldo', 'Lionel Messi'
'2017', 33, 19, 40
'2018', 24, 36, 34
'2019', 31, 17, 34
'2020', 32, 33, 19
'2021', 43, 25, 24
'2022', 29, 18, 11
```

```gaugechart
title Project Status - Epic IV
width 400
height 200
backgroundcolor "rgb(50,100,50,0.2)" white white "rgb(50,100,50,0.2)" -
datacolors lightgreen orange #d77
donut 120 "76% complete"
"Bugs Fixed"  30
"This Sprint" 20
Backlog 20
```

```speedometer
title Client Satisfaction Evaluation Ratings
width 400
height 200
backgroundcolor  lavender lightblue  -
datacolors  powderblue lightsteelblue  cadetblue
donut 90 "Program 1"
gauge 85
"Not Happy"  25
Satisfied 50
"Very Satisfied"  25
```

```dotplot
title Gender Ratios for Selected Countries
backgroundcolor beige #efe -
columnlabel Country Combined	Male	Female
width 500
x-axis 38 45 51
Monaco	53.1	51.7	54.5
Japan	47.3	46	48.7
Germany	47.1	46	48.2
Italy	45.5	44.4	46.5
Greece 	44.5	43.5	45.6
Hong Kong 	44.4	43.5	45
Austria	44	42.8	45.1
Spain	42.7	41.5	43.9
Netherlands	42.6	41.5	43.6
Finland	42.5	40.9	44.3
South Korea	41.8	40.2	43.4
France	41.4	39.6	43.1
Poland	40.7	39	42.4
"United Kingdom"	40.5	39.3	41.7
Russia	39.6	36.6	42.5
Norway	39.2	38.4	40
"United States"	38.1	36.8	39.4
"New Zealand"	37.9	37.1	38.8
China	37.4	36.5	38.4
```

```arrowplot
x-axis 2000	2020
width 500
padx 150
title Change in Median Age for Selected Countries
"Asia & Pacific"
Japan	7.29	9.89	
Australia	22.97	30.46
China	21.78	24.94
Indonesia	8	20.35
Malaysia	10.36	14.41
"New Zealand"	30.83	40.83
"Europe & Asia"
Finland	36.5	46	
France	10.92	39.51
Germany	30.94	31.17
Netherlands	36	33.33
Norway	36.36	41.42
Spain	28.29	44
Switzerland	23	41.5
"United Kingdom"	18.36	33.85
Turkey	4.18	17.32
```

```rangeplot
datacolors #f88 #8f8 #888
title Swing in US Voters
width 500
padx 130
columnlabel Republican	Democrat
x-axis 1 48
"Asia & Pacific"
Japan	7.29	9.89	
Australia	22.97	30.46
China	21.78	24.94
Indonesia	8	20.35
Malaysia	10.36	14.41
"New Zealand"	30.83	40.83
"Europe & Asia"
Finland	36.5	46	
France	10.92	39.51
Germany	30.94	31.17
Netherlands	36	33.33
Norway	36.36	41.42
Spain	28.29	44
Switzerland	23	41.5
"United Kingdom"	18.36	33.85
Turkey	4.18	17.32
```

```1Dchart
title "Luxury Car Ratings"
backgroundcolor bisque
datacolors lightblue purple green orange red
width 600
height 400
'BMW' "ms-304" 5 1
'Mercedes', "go-123 | go-345 ", 29 2
'Audi',"ap-759",35,1
'Porsche',"az-890",52 1
'Toyota',"ad-658",73,1
'Honda' "xy-658",66,-2,
'Average',"Luxury Sedans",51 -1

# Add labels to any chart.
# The 6 fields are Title, then Content...
# ...followed by percentage along and down the label is
# Optionally add a line to point anywhere
label "Our Pick" "Porche" 80 100 51 70
label "Runner Up" "Beamer" 15 30 19 62
```

```progresschart
title "Savings Goal"
subtitle "Aiming for $15,000"
backgroundcolor bisque
datacolors lightblue purple green orange red
width 600
height 100
max 15000
'Al', "$1,541",1541
'John', "$9,541",9541
'Red', "$13,541",13541
```

```progressbar
title "Sales Target"
subtitle "2024 is already beating 2023"
backgroundcolor bisque
padx 30
textcolor darkblue
datacolors lightblue orange
width 600
height 100
max 100
'John', "December",51
```

```heatmap
title Cost of Electricity by Country and Year
datacolors #C9E6B3,#C2E4AF,#CCE9B7,#D3EFD0,#C6E6BB,#D9F1D7,#CCEAC4,#C4E7B7,#D6F5D0,#CAEDC2,#C9E6B3,#C2E4AF,#CCE9B7,#D3EFD0,#C6E6BB,#D9F1D7,#CCEAC4,#C4E7B7,#D6F5D0,#CAEDC2,#FFCECE,#F8D5D5,#FFC4C4,#FFBDBD,#FFC1C1,#FFB6B6,#FFABAB,#FFB0B0,#FFA5A5,#F8A1A1
textcolor  navajowhite
padx 90
width 340
x-axis 2015,2016,2017,2018,2019,2020,2021
USA,100,105,110,115,120,125,130
China,90,92,94,96,98,100,102
Germany,120,122,124,126,128,130,132
India,80,82,84,86,88,90,92
Brazil,70,72,74,76,78,80,82
Canada,95,97,99,101,103,105,107
Russia,85,87,89,91,93,95,97
Japan,115,117,119,121,123,125,127
Australia,105,107,109,111,113,115,117
France,110,112,114,116,118,120,122
United Kingdom,102,104,106,108,110,112,114
South Korea,98,100,102,104,106,108,110
Saudi Arabia,88,90,92,94,96,98,100
Mexico,75,77,79,81,83,85,87
Italy,108,110,112,114,116,118,120
```
 

```activitychart
title Contributions over last 6 years
height 140
width 600
padx 75
pady 50
x-axis 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
datacolors #991 #aa2 #bb4 #cc4 #dd2 #ee1 #ff1
'2017', 00, 00, 00, 33, 19, 40, 33, 19, 40, 33, 19, 40, 20, 19, 40, 33, 19, 00, 33, 19, 40, 33, 19, 40, 33, 20, 40
'2018', 24, 00, 34, 00, 19, 40, 00, 19, 40, 33, 10, 20, 33, 19, 10, 33, 19, 40, 33, 20, 40, 33, 10, 40, 33, 19, 20
'2019', 00, 17, 00, 33, 19, 40, 33, 19, 40, 33, 00, 40, 10, 20, 40, 33, 00, 40, 33, 19, 40, 33, 19, 20, 33, 19, 40
'2020', 00, 00, 19, 33, 19, 00, 19, 33, 19, 33, 19, 33, 19, 33, 19, 33, 19, 33, 19, 33, 19, 33, 19, 33, 19, 33, 19
'2021', 43, 00, 24, 25, 24, 25, 24, 25, 24, 00, 24, 25, 24, 25, 24, 20, 15, 25, 24, 25, 24, 20, 24, 25, 24, 25, 24
'2022', 29, 18, 11, 18, 11, 18, 19, 18, 11, 18, 21, 18, 20, 27, 11, 18, 11, 18, 11, 18, 11, 18, 37, 18, 11, 18, 11
```

```ohlcchart
datacolors #4f4 #f44 #933 #b33 #d33 #f33
title QUAL for Dec 2023 til March 2024
x-axis Dec Jan Feb March
y-axis 46 55
# uncomment below to make it candlestick chart
# candlestick 1
# uncomment below to hide the volume
# hidevolume 1
label "Look out above" "Breakout" 80 100 66 67
# Security Code,Date,Opening Price,High Sale Price,Low Sale Price,Closing Price,Total Volume Traded
QUAL,13 Dec 2023,47.48,47.72,47.48,47.58,170452
QUAL,14 Dec 2023,47.49,47.49,47.05,47.17,986978
QUAL,15 Dec 2023,47.13,47.14,46.99,47.04,235473
QUAL,18 Dec 2023,47.05,47.11,46.94,47,625495
QUAL,19 Dec 2023,47.21,47.33,47.15,47.17,154620
QUAL,20 Dec 2023,47.18,47.24,47.07,47.08,220534
QUAL,21 Dec 2023,46.97,46.97,46.77,46.87,239386
QUAL,22 Dec 2023,47.35,47.35,46.77,46.83,71699
QUAL,27 Dec 2023,47.01,47.13,46.8,46.82,59951
QUAL,28 Dec 2023,46.96,47.05,46.8,47.01,165313
QUAL,29 Dec 2023,47.08,47.08,46.92,46.95,35782
QUAL,02 Jan 2024,46.96,47.12,46.95,46.95,55954
QUAL,03 Jan 2024,47,47,46.81,46.85,41897
QUAL,04 Jan 2024,46.9,46.9,46.72,46.72,61776
QUAL,05 Jan 2024,46.87,46.99,46.86,46.96,24504
QUAL,08 Jan 2024,46.89,46.94,46.77,46.92,53665
QUAL,09 Jan 2024,47.34,47.51,47.34,47.48,78271
QUAL,10 Jan 2024,47.62,47.79,47.57,47.6,47317
QUAL,11 Jan 2024,48.05,48.13,48,48.06,63525
QUAL,12 Jan 2024,48.14,48.15,47.97,48.11,59349
QUAL,15 Jan 2024,48.13,48.37,48.13,48.37,110378
QUAL,16 Jan 2024,48.5,48.68,48.38,48.56,70190
QUAL,17 Jan 2024,48.8,48.84,48.7,48.77,44185
QUAL,18 Jan 2024,48.85,48.87,48.68,48.69,53671
QUAL,19 Jan 2024,49.15,49.27,49.14,49.27,143213
QUAL,22 Jan 2024,49.67,49.85,49.66,49.83,101722
QUAL,23 Jan 2024,50.18,50.19,49.82,49.84,118000
QUAL,24 Jan 2024,50.02,50.15,49.97,50.11,138056
QUAL,25 Jan 2024,50.27,50.3,50.18,50.22,109534
QUAL,29 Jan 2024,50.23,50.3,50.18,50.23,112987
QUAL,30 Jan 2024,50.52,50.62,50.5,50.57,131011
QUAL,31 Jan 2024,50.38,50.58,50.31,50.53,93742
QUAL,01 Feb 2024,50.5,50.5,50.14,50.34,110739
QUAL,02 Feb 2024,50.54,50.99,50.54,50.8,123845
QUAL,05 Feb 2024,51.1,52,51.1,51.59,401377
QUAL,06 Feb 2024,51.88,52.09,51.88,51.94,125017
QUAL,07 Feb 2024,51.89,51.89,51.75,51.77,135183
QUAL,08 Feb 2024,52.39,52.48,52.33,52.48,115215
QUAL,09 Feb 2024,52.64,52.73,52.62,52.7,85407
QUAL,12 Feb 2024,52.88,52.89,52.79,52.88,105792
QUAL,13 Feb 2024,53.1,53.12,52.57,52.72,120984
QUAL,14 Feb 2024,52.7,52.71,52.57,52.62,102299
QUAL,15 Feb 2024,53,53,52.83,52.98,160864
QUAL,16 Feb 2024,53.01,53.1,52.93,53.04,280312
QUAL,19 Feb 2024,53,53,52.51,52.51,113834
QUAL,20 Feb 2024,52.62,52.71,52.49,52.54,163712
QUAL,21 Feb 2024,52.13,52.13,51.87,51.97,126673
QUAL,22 Feb 2024,52.4,53.34,52.4,52.65,248234
QUAL,23 Feb 2024,53.34,53.78,53.32,53.35,272948
QUAL,26 Feb 2024,53.4,53.46,53.36,53.46,84061
QUAL,27 Feb 2024,53.55,53.59,53.44,53.45,135051
QUAL,28 Feb 2024,53.63,53.65,53.38,53.62,112761
QUAL,29 Feb 2024,53.6,53.69,53.44,53.49,108830
QUAL,01 Mar 2024,53.8,53.97,53.66,53.8,225386
QUAL,04 Mar 2024,54.02,54.32,54.02,54.32,198216
QUAL,05 Mar 2024,54.37,54.42,54.3,54.41,118747
QUAL,06 Mar 2024,54.3,54.3,53.81,53.86,106813
QUAL,07 Mar 2024,53.85,53.86,53.49,53.51,99000
QUAL,08 Mar 2024,54.18,54.25,54.09,54.13,89568
QUAL,11 Mar 2024,53.41,53.51,53.35,53.41,101601
QUAL,12 Mar 2024,53.45,53.59,53.41,53.59,141099
QUAL,13 Mar 2024,54.22,54.3,54.09,54.18,104972
```

```qrcode
content https://Markdown2.com/blog
width 500
height 500
padx 2
textcolor #f40
backgroundcolor #8ff
```

```table
title Pet Adoption by Year
subtitle Paste the data from any Spreadsheet
rowbackground #fff #eee
align center right right right right 
headerbackground #ddd
columnlabel Year, Dogs, Pigs, Cats, Rats
# Cut and Paste the lines below straight from your spreadsheet
2010, 23,54,41,72
2011, 23,44,46,68
2012, 23,47,59,62
2013, 25,69,51,57
2014, 33,12,41,56
2015, 43,11,11,56
2016, 47,13,41,46
2017, 54,22,37,66
```

```quadrantChart
title Reach and engagement of campaigns
datacolors #DAAFE9 #C7DBF5 #AAD5FB #ADE5DA #B0EDC3 #FDF0A4 #F8D6A2 #C47ADA #90BAEE
x-axis "Low Reach" "High Reach"
y-axis "Low Engagement" "High Engagement"
columnlabel Campaign Reach Engagement
quadrant-1 We should expand
quadrant-2 Need to promote
quadrant-3 Re-evaluate
quadrant-4 May be improved
"Email A" 0.3, 0.59
"Email B" 0.45, 0.19
"Email F" 0.57, 0.69
"TV Ad" 0.78, 0.44
Superbowl 0.80, 0.74
"Daytime TV" 0.25, 0.32
```

```waveChart
title Software Product Fit
datacolors #DAAFE9  #eaeaea #AAD5FB  #9acaea #71a8d4
x-axis "Weaker Strategy" "Stronger Strategy"
y-axis "Weaker Offering" "Stronger Offering"
columnlabel Product Strategy Strength
label "Watch for Next Release" "Huge changes expected in Q3" 25 15 30 40
height 600
width 600
"Product A" 0.3, 0.59
"Product B" 0.45, 0.19
"Product F" 0.57, 0.69
"Product C" 0.78, 0.44
"Product X" 0.80, 0.74
"Product X2" 0.25, 0.32
```

```ganttchart
title Project X
width 700
height 300
padx 120
datacolors #b00 #b00 #b00 #b00 #0b0 #0b0 #00b #00b #00b #00b
# wobble 3
# x-axis Start End
textcolor #ccc
backgroundcolor #eff
"Design Team"
Planning 2024-01-30 2024-03-14 45
Research  2024-03-14 2024-04-14 80
"Design I" 2024-03-15 2024-06-20 30
"Design II" 2024-05-20 2024-07-21 10
"Dev Team"
Implementation  2024-05-30 2024-10-14 5
"Test Planning"  2024-07-30 2024-10-14
"User Phase"
Testing  2024-09-30 2024-11-30
Rollout  2024-11-01 2025-02-01
Follow-up 2024-09-30 2025-03-01
# label "Deadline" "for customer" 70 10 70 90
```

```venndiagram
title Project Quality
width 500
wobble 1
height 500
textcolor mediumblue
backgroundcolor #dff
Good
Expensive
Fast
"Slow to" "Deliver"
"They are" "Dreaming"
"Low Quality"
Cheap
```

```kanban
title Project Jujitsu - Epic II
width 700
height 500
wobble 1
textcolor mediumblue
backgroundcolor #dff
datacolors #eee #bbb #00b #b44 #0b0
Backlog
 Research project requirements
 Create wireframes for user interface
 Define database schema
 Set up project repository
 Install necessary dependencies
In Progress
 Develop login functionality
 Design and implement home page layout
 Write API endpoints for data retrieval
 Create user registration form
Review
 Review and provide feedback on UI wireframes
 Conduct code review for login functionality
 Test API endpoints and handle edge cases
 Review database schema for optimization
Done
 Completed user authentication module
 Finalized home page design
 Implemented data retrieval endpoints
 Finished user registration form
 Conducted performance testing
```

```circleschart
title Packed Circles
datacolors #C9E6B3,#C2E4AF,#CCE9B7,#D3EFD0,#C6E6BB,#D9F1D7,#CCEAC4,#C4E7B7,#D6F5D0,#CAEDC2
width 700
height 700
"analytics",
 "cluster"  
  "AgglomerativeCluster",3938
  "CommunityStructure",3812
  "HierarchicalCluster",6714
  "MergeEdge",743
 "graph"
  "BetweennessCentrality",3534
  "LinkDistance",5731
  "MaxFlowMinCut",7840
"ShortestPaths",5914
"SpanningTree",3416
"optimization"
"AspectRatioBanker",7074
"animate"
"Easing",17010
"FunctionSequence",5842
 "interpolate"
  "ArrayInterpolator",1983
  "ColorInterpolator",2047
  "DateInterpolator",1375
  "Interpolator",8746
  "MatrixInterpolator",2202
  "NumberInterpolator",1382
  "ObjectInterpolator",1629
  "PointInterpolator",1675
  "RectangleInterpolator",2042
 "ISchedulable",1041
 "Parallel",5176
 "Pause",449
 "Scheduler",5593
 "Sequence",5534
 "Transition",9201
 "Transitioner",19975
 "TransitionEvent",1116
 "Tween",6006
"data"
 "converters"  
  "Converters",721
  "DelimitedTextConverter",4294
  "GraphMLConverter",9800
  "IDataConverter",1314
  "JSONConverter",2220
 "DataField",1759
 "DataSchema",2165
 "DataSet",586
 "DataSource",3331
 "DataTable",772
 "DataUtil",3322
"display"
 "DirtySprite",8833
 "LineSprite",1732
 "RectSprite",3623
 "TextSprite",10066
"flex"
 "FlareVis",4116
"physics"
 "DragForce",1082
 "GravityForce",1336
 "IForce",319
 "NBodyForce",10498
 "Particle",2822
 "Simulation",9983
 "Spring",2213
 "SpringForce",1681
"query"
 "AggregateExpression",1616
 "And",1027
 "Arithmetic",3891
 "Average",891
 "BinaryExpression",2893
 "Comparison",5103
 "CompositeExpression",3677
 "Count",781
 "DateUtil",4141
 "Distinct",933
 "Expression",5130
 "ExpressionIterator",3617
 "Fn",3240
 "If",2732
 "IsA",2039
 "Literal",1214
 "Match",3748
 "Maximum",843
 "methods"  
  "add",593
  "and",330
  "average",287
  "count",277
  "distinct",292
  "div",595
  "eq",594
  "fn",460
  "gt",603
  "gte",625
  "iff",748
  "isa",461
  "lt",597
  "lte",619
  "max",283
  "min",283
  "mod",591
  "mul",603
  "neq",599
  "not",386
  "or",323
  "orderby",307
  "range",772
  "select",296
  "stddev",363
  "sub",600
  "sum",280
  "update",307
  "variance",335
  "where",299
  "xor",354
  "_",264
 "Minimum",843
 "Not",1554
 "Or",970
 "Query",13896
 "Range",1594
 "StringUtil",4130
 "Sum",791
 "Variable",1124
 "Variance",1876
 "Xor",1101
"scale",
 "IScaleMap",2105
 "LinearScale",1316
 "LogScale",3151
 "OrdinalScale",3770
 "QuantileScale",2435
 "QuantitativeScale",4839
 "RootScale",1756
 "Scale",4268
 "ScaleType",1821
 "TimeScale",5833
"util"
 "Arrays",8258
 "Colors",10001
 "Dates",8217
 "Displays",12555
 "Filter",2324
 "Geometry",10993
 "heap"  
  "FibonacciHeap",9354
  "HeapNode",1233
 "IEvaluable",335
 "IPredicate",383
 "IValueProxy",874
 "math"  
  "DenseMatrix",3165
  "IMatrix",2815
  "SparseMatrix",3366
 "Maths",17705
 "Orientation",1486
 "palette"  
  "ColorPalette",6367
  "Palette",1229
  "ShapePalette",2059
  "SizePalette",2291
 "Property",5559
 "Shapes",19118
 "Sort",6887
 "Stats",6557
 "Strings",22026
"vis"
 "axis"  
  "Axes",1302
  "Axis",24593
  "AxisGridLine",652
  "AxisLabel",636
  "CartesianAxes",6703
 "controls"  
  "AnchorControl",2138
  "ClickControl",3824
  "Control",1353
  "ControlList",4665
  "DragControl",2649
  "ExpandControl",2832
  "HoverControl",4896
  "IControl",763
  "PanZoomControl",5222
  "SelectionControl",7862
  "TooltipControl",8435
 "data"  
  "Data",20544
  "DataList",19788
  "DataSprite",10349
  "EdgeSprite",3301
  "NodeSprite",19382
  "render",    
   "ArrowType",698
   "EdgeRenderer",5569
   "IRenderer",353
   "ShapeRenderer",2247
  "ScaleBinding",11275
  "Tree",7147
  "TreeBuilder",9930
 "events"  
  "DataEvent",2313
  "SelectionEvent",1880
  "TooltipEvent",1701
  "VisualizationEvent",1117
 "legend"  
  "Legend",20859
  "LegendItem",4614
  "LegendRange",10530
 "operator"  
  "distortion"
   "BifocalDistortion",4461
   "Distortion",6314
   "FisheyeDistortion",3444
  "encoder",    
   "ColorEncoder",3179
   "Encoder",4060
   "PropertyEncoder",4138
   "ShapeEncoder",1690
   "SizeEncoder",1830
  "filter"
   "FisheyeTreeFilter",5219
   "GraphDistanceFilter",3165
   "VisibilityFilter",3509
  "IOperator",1286
  "label"
   "Labeler",9956
   "RadialLabeler",3899
   "StackedAreaLabeler",3202
  "layout"
   "AxisLayout",6725
   "BundledEdgeRouter",3727
   "CircleLayout",9317
   "CirclePackingLayout",12003
   "DendrogramLayout",4853
   "ForceDirectedLayout",8411
   "IcicleTreeLayout",4864
   "IndentedTreeLayout",3174
   "Layout",7881
   "NodeLinkTreeLayout",12870
   "PieLayout",2728
   "RadialTreeLayout",12348
   "RandomLayout",870
   "StackedAreaLayout",9121
   "TreeMapLayout",9191
  "Operator",2490
  "OperatorList",5248
  "OperatorSequence",4190
  "OperatorSwitch",2581
  "SortOperator",2023
 "Visualization",16540
```

# Your Portfolio

Dear {greeting},

Research forecast shows that by 2030, the global technology market will grow to over $14.3 trillion at a compound annual growth rate (CAGR) of 15.2%.
As the demand for technology increases, we have positioned our company as a trusted business to partner with.

We are at the forefront of technology investement. Our diversified portfolio covers all the major growth sectors.

```donutchart
width 300
height 300
donut 90 "Sectors" "we excel in"
AI  234
Biotechnology  124
Materials  154
```

The portfolio has exceeded all benchmarks for 5 of the last 6 years.


```xychart
width 600
datacolors red green 
rowlabel "Our Fund" "Industry Benchmark"
x-axis 2018 2019 2020 2021 2022
line 2000, 4500, 4900, 6700, 8500, 9300, 11000
line 2000, 3000, 3800, 5200, 6500, 7500, 8000
```

Looking forward to scheduling a meeting to further progress our mutual objectives.


Regards

*Jim*

CEO

<div style='display:grid;grid-template-columns:70% 30%;background-image: linear-gradient(to right, rgba(255,255,255, 0.7) 0 100%), url(https://images.unsplash.com/photo-1497294815431-9365093b7331?ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&ixlib=rb-1.2.1&auto=format&fit=crop&w=1950&q=80);background-size: cover;'>
<div>
```donutchart
title Sector Allocation
width 300
height 300
legend 0
donut 95 ""
AI  234
Biotechnology  124
Materials  154
```
<center>Small Pharma, Small Tech and Materials are our forte.</center>
<center>![SampleLogo](https://generated-at.markdown2.com/assets%2FSampleLogoSmall.jpg)</center>
</div><div>
## Our Portfolio remains solid

Research forecast shows that by 2030, the global technology market will grow to over $14.3 trillion at a compound annual growth rate (CAGR) of 15.2%.
As the demand for technology increases, you need to position your company as a trusted business to invest in.

We are at the forefront of technology investement. Our diversified portfolio covers all the major growth sectors.
</div>
</div>


<div style='display:grid;grid-template-columns:40% 60%;background-image: linear-gradient(to right, rgba(255,255,255, 0.7) 0 100%), url(https://generated-at.markdown2.com/assets/cornered-stairs.svg);background-size: cover;'>
<div>
### Our returns continue exceed the industry benchmark
... by a significant margin! 🔥
<center>![SampleLogo](https://generated-at.markdown2.com/assets%2FSampleLogoSmall.jpg)</center>
</div>
<div>
```xychart
width 600
height 300
datacolors red green 
rowlabel "Our Fund" "Industry Benchmark"
x-axis 2018 2019 2020 2021 2022
line 2000, 4500, 4900, 6700, 8500, 9300, 11000
line 2000, 3000, 3800, 5200, 6500, 7500, 8000
```
</div></div>


<div style='display:grid;height:600px;background-image: linear-gradient(to right, rgba(255,255,255, 0.7) 0 100%), url(https://generated-at.markdown2.com/assets/cornered-stairs.svg);background-size: cover;'>
<center>
# Any Questions<center>

<center>![SampleLogo](https://generated-at.markdown2.com/assets%2FSampleLogoSmall.jpg)</center>
</div>

<div style="background-color:#ddd;padding:3rem;">
```qrcode
content https://Markdown2.com/blog
width 200
height 200
padx 2
textcolor #f40
backgroundcolor #8ff
```

---
<center>
Admit One
Not transferrable
# Taylor Swift
30th June 2029
at *Tina Arena*
---
Entry Time: **7:30PM**  Gate **C3**
</center>
</div>
```