Treemap Chart

A Treemap displays hierarchical data as a set of nested rectangles. Each group is represented by a rectangle, which area is proportional to its value. Using color schemes, it is possible to represent several dimensions: groups, subgroups etc. Treemaps have the advantage to make efficient use of space, what makes them useful to represent a big amount of data. If you have many levels of hierarchy (>2), it is advised to build an interactive figure: clicking on a upper level of organization will reveal the next level and so on.



Color Themes


{
   "x" : {
      "GNI" : [106140,103630,92200,88120,76270,75990,64540,61610,61310,55200,55150,51890,51630,49670,49300,48420,47640,46350,47260,46550,44600,43430,42960,42000,43270,41070,40320,37320,35320,34270,29440,27090,26370,25140,23580,22680,21360,21060,20980,21000,20070,19310,19030,18370,16870,17750,16350,15430,15280,15310,14920,14910,14100,13690,13480,13340,13300,13220,12980,12500,11850,11530,11130,11120,11110,10830,10210,10120,10030,9950,9870,9720,9630,9520,8020,7970,7910,7820,7620,7590,7400,7340,7320,7260,7240,6930,6800,6610,6500,6410,6360,7120,6090,6040,5820,5780,5720,5630,5490,5160,5150,5150,4870,4760,4350,4450,4400,4390,4280,4260,4230,4060,4020,3990,3940,3920,3720,3630,3560,3550,3500,3460,3450,3430,3200,3160,3070,3060,3050,2970,2950,2870,2720,2680,2560,2370,2270,2240,2090,1890,1870,1830,1710,1680,1670,1660,1590,1570,1450,1400,1300,1350,1330,1290,1270,1270,1250,1080,1080,1050,1020,980,970,920,890,840,820,790,730,700,700,700,680,670,650,600,570,550,550,470,500,440,410,380,370,320,270,250],
      "ISO3" : ["BMU","NOR","QAT","CHE","MAC","LUX","AUS","SWE","DNK","USA","SGP","NLD","CAN","AUT","KWT","FIN","DEU","ISL","BEL","IRL","ARE","GBR","FRA","JPN","ADO","NZL","HKG","BRN","ISR","ITA","ESP","KOR","CYP","SAU","SVN","GRC","PRT","BHR","BHS","MLT","TTO","PRI","EST","CZE","OMN","SVK","URY","LTU","LVA","BRB","KNA","CHL","SYC","POL","ARG","HUN","ATG","RUS","HRV","VEN","KAZ","BRA","PAN","MYS","PLW","TUR","GNQ","CRI","LBN","SUR","MEX","GAB","MUS","ROU","TKM","COL","GRD","LBY","BGR","AZE","CHN","BLR","MNE","LCA","BWA","DMA","ZAF","VCT","IRQ","MDV","PER","IRN","ECU","DOM","SRB","THA","TUV","NAM","DZA","JOR","JAM","MKD","FJI","BIH","BLZ","ALB","PRY","MHL","MNG","TON","TUN","WSM","ARM","KSV","GUY","SLV","GEO","IDN","UKR","SWZ","PHL","LKA","CPV","GTM","FSM","VUT","MAR","WBG","EGY","NGA","KIR","BOL","COG","TMP","MDA","BTN","HND","PNG","UZB","VNM","NIC","SLB","SDN","ZMB","STP","LAO","GHA","IND","CIV","PAK","YEM","CMR","LSO","KEN","MRT","MMR","KGZ","BGD","TJK","SEN","KHM","TCD","SSD","TZA","BEN","ZWE","HTI","COM","NPL","BFA","RWA","SLE","AFG","UGA","MLI","MOZ","TGO","ETH","GNB","GIN","GMB","MDG","NER","COD","LBR","CAF","BDI","MWI"],
      "Id" : [3,4,5,6,7,8,10,11,12,14,15,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194],
      "continent" : ["North America","Europe","Asia","Europe","Asia","Europe","Oceania","Europe","Europe","North America","Asia","Europe","North America","Europe","Asia","Europe","Europe","Europe","Europe","Europe","Asia","Europe","Europe","Asia","Europe","Oceania","Asia","Asia","Asia","Europe","Europe","Asia","Asia","Asia","Europe","Europe","Europe","Asia","North America","Europe","North America","North America","Europe","Europe","Asia","Europe","South America","Europe","Europe","North America","North America","South America","Seven seas","Europe","South America","Europe","North America","Europe","Europe","South America","Asia","South America","North America","Asia","Oceania","Asia","Africa","North America","Asia","South America","North America","Africa","Seven seas","Europe","Asia","South America","North America","Africa","Europe","Asia","Asia","Europe","Europe","North America","Africa","North America","Africa","North America","Asia","Seven seas","South America","Asia","South America","North America","Europe","Asia","Oceania","Africa","Africa","Asia","North America","Europe","Oceania","Europe","North America","Europe","South America","Oceania","Asia","Oceania","Africa","Oceania","Asia","Europe","South America","North America","Asia","Asia","Europe","Africa","Asia","Asia","Africa","North America","Oceania","Oceania","Africa","Asia","Africa","Africa","Oceania","South America","Africa","Asia","Europe","Asia","North America","Oceania","Asia","Asia","North America","Oceania","Africa","Africa","Africa","Asia","Africa","Asia","Africa","Asia","Asia","Africa","Africa","Africa","Africa","Asia","Asia","Asia","Asia","Africa","Asia","Africa","Africa","Africa","Africa","Africa","North America","Africa","Asia","Africa","Africa","Africa","Asia","Africa","Africa","Africa","Africa","Africa","Africa","Africa","Africa","Africa","Africa","Africa","Africa","Africa","Africa","Africa"]
   },
   "y" : {
      "data" : [
        [67837,4676305,833285,7604467,559846,491775,21262641,9059651,5500510,313973000,4657542,16715999,33487208,8210281,2691158,5250275,82329758,306694,10414336,4203200,4798491,62262000,64057792,127078679,79218,4213418,7061200,388190,7233701,58126212,40525002,48508972,531640,28686633,2005692,10737428,10707924,727785,309156,405165,1310000,3971020,1299371,10211904,3418085,5463046,3494382,3555179,2231503,284589,40131,16601707,87476,38482919,40913584,9905596,85632,140041247,4489409,26814843,15399437,198739269,3360474,25715819,20796,76805524,650702,4253877,4017095,481267,111211789,1514993,1284264,22215421,4884887,45644023,90739,6310434,7204687,8238672,1338612970,9648533,672180,160267,1990876,72660,49052489,104574,31129225,396334,29546963,66429284,14573101,9650054,7379339,65905410,10640,2108665,34178188,6342948,2825928,2066718,944720,4613414,307899,3639453,6995655,64522,3041142,120898,10486339,219998,2967004,1859203,772298,7185218,4615807,240271522,45700395,1123913,97976603,21324791,429474,13276517,107434,218519,34859364,4550368,83082869,149229090,112850,9775246,4012809,1201542,4320748,691141,7792854,6057263,27606007,86967524,5891199,595613,25946220,11862740,212679,6834942,23832495,1166079220,20617068,176242949,23822783,18879301,2130819,39002772,3129486,48137741,5431747,156050883,7349145,13711597,14494293,10329208,10625176,41048532,8791832,12619600,9035536,752438,28563377,15746232,10473282,6440053,28400000,32369558,12666987,21669278,6019877,85237338,1533964,10057975,1782893,20653556,15306252,68692542,3441790,4511488,8988091,14268711]
      ],
      "smps" : ["Bermuda","Norway","Qatar","Switzerland","Macao SAR, China","Luxembourg","Australia","Sweden","Denmark","United States","Singapore","Netherlands","Canada","Austria","Kuwait","Finland","Germany","Iceland","Belgium","Ireland","United Arab Emirates","United Kingdom","France","Japan","Andorra","New Zealand","Hong Kong SAR, China","Brunei Darussalam","Israel","Italy","Spain","Korea, Rep.","Cyprus","Saudi Arabia","Slovenia","Greece","Portugal","Bahrain","Bahamas, The","Malta","Trinidad and Tobago","Puerto Rico","Estonia","Czech Republic","Oman","Slovak Republic","Uruguay","Lithuania","Latvia","Barbados","St. Kitts and Nevis","Chile","Seychelles","Poland","Argentina","Hungary","Antigua and Barbuda","Russian Federation","Croatia","Venezuela, RB","Kazakhstan","Brazil","Panama","Malaysia","Palau","Turkey","Equatorial Guinea","Costa Rica","Lebanon","Suriname","Mexico","Gabon","Mauritius","Romania","Turkmenistan","Colombia","Grenada","Libya","Bulgaria","Azerbaijan","China","Belarus","Montenegro","St. Lucia","Botswana","Dominica","South Africa","St. Vincent and the Grenadines","Iraq","Maldives","Peru","Iran, Islamic Rep.","Ecuador","Dominican Republic","Serbia","Thailand","Tuvalu","Namibia","Algeria","Jordan","Jamaica","Macedonia, FYR","Fiji","Bosnia and Herzegovina","Belize","Albania","Paraguay","Marshall Islands","Mongolia","Tonga","Tunisia","Samoa","Armenia","Kosovo","Guyana","El Salvador","Georgia","Indonesia","Ukraine","Swaziland","Philippines","Sri Lanka","Cabo Verde","Guatemala","Micronesia, Fed. Sts.","Vanuatu","Morocco","West Bank and Gaza","Egypt, Arab Rep.","Nigeria","Kiribati","Bolivia","Congo, Rep.","Timor-Leste","Moldova","Bhutan","Honduras","Papua New Guinea","Uzbekistan","Vietnam","Nicaragua","Solomon Islands","Sudan","Zambia","Sao Tome and Principe","Lao PDR","Ghana","India","Cote d'Ivoire","Pakistan","Yemen, Rep.","Cameroon","Lesotho","Kenya","Mauritania","Myanmar","Kyrgyz Republic","Bangladesh","Tajikistan","Senegal","Cambodia","Chad","South Sudan","Tanzania","Benin","Zimbabwe","Haiti","Comoros","Nepal","Burkina Faso","Rwanda","Sierra Leone","Afghanistan","Uganda","Mali","Mozambique","Togo","Ethiopia","Guinea-Bissau","Guinea","Gambia, The","Madagascar","Niger","Congo, Dem. Rep.","Liberia","Central African Republic","Burundi","Malawi"],
      "vars" : ["population"]
   }
}
{
   "colorBy" : "GNI",
   "decorations" : {
      "marker" : [{"align" : "center","baseline" : "middle","color" : "red","sample" : "Norway","text" : "Norway is the country\nwith the largest GNI\naccording to 2014 census","variable" : "population","x" : 0.65,"y" : 0.7},{"align" : "center","baseline" : "middle","color" : "red","sample" : "China","text" : "China is the country with\nthe largest population\naccording to 2014 census","variable" : "population","x" : 0.15,"y" : 0.1}]
   },
   "graphType" : "Treemap",
   "showDecorations" : "false",
   "showTransition" : "true",
   "theme" : "CanvasXpress",
   "title" : "Population colored by Gross National Income 2014"
}
var cX = CanvasXpress.$("canvasId");
cX.groupSamples(["continent"]);
library(canvasXpress)
y=read.table("https://www.canvasxpress.org/data/cX-stacked1-dat.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
x=read.table("https://www.canvasxpress.org/data/cX-stacked1-smp.txt", header=TRUE, sep="\t", quote="", row.names=1, fill=TRUE, check.names=FALSE, stringsAsFactors=FALSE)
canvasXpress(
  data=y,
  smpAnnot=x,
  colorBy="GNI",
  decorations=list(marker=list(list(align="center", baseline="middle", color="red", sample="Norway", text="Norway is the country\nwith the largest GNI\naccording to 2014 census", variable="population", x=0.65, y=0.7), list(align="center", baseline="middle", color="red", sample="China", text="China is the country with\nthe largest population\naccording to 2014 census", variable="population", x=0.15, y=0.1))),
  graphType="Treemap",
  showDecorations=FALSE,
  showTransition=TRUE,
  theme="CanvasXpress",
  title="Population colored by Gross National Income 2014",
  afterRender=list(list("groupSamples", list("continent")))
)