CB Graphics Tools : Sankey

sourcetargetvalue
BMWNo country24000
BNP ParibasNo country479246
Deutsche Telekom AGNo country589
General Motors CompanyNo country15500
MicrosoftAustralia330
AXABelize39840
AllianzBrazil769
AlphabetBrazil6
AmazonBrazil311
AXABrazil150000
BMWBrazil13
BNP ParibasBrazil6451
MicrosoftBrazil15889
PeugeotBrazil42
SamsungBrazil4663
ShellBrazil82
TotalEnergiesBrazil23887
ComcastBrazil, Indonesia, Mexico and Kenya100000
AXABulgaria390000
ChevronCambodia99133
ITOCHU ENEX COCambodia330
JP Morgan ChaseCanada48471
MicrosoftCanada148596
ShellCanada18598
BPChile17771
WalmartChile754
AppleChina380000
AXAChina40000
BMWChina4228
BNP ParibasChina1173
China State ConstructionChina18337
ComcastChina3116077
Deutsche Telekom AGChina2296
Exxon MobilChina6
HyundaiChina70
MicrosoftChina20419
MitsubishiChina11
PetroChinaChina852902
SamsungChina256
ShellChina706027
Sinopec NanjingChina6600
TotalEnergiesChina48715
VolkswagenChina819410
AppleColombia17000
ChevronColombia5821850
MicrosoftColombia5605
MicrosoftCote d'Ivoire74247
TotalEnergiesCote d'Ivoire144
MicrosoftFinland900
MicrosoftGermany1470
MicrosoftGhana481
ShellGhana25032
AppleGuatemala100000
AXAGuatemala15000
BPGuatemala8923
ShellGuatemala542868
AmazonIndia261
BNP ParibasIndia57024
ChevronIndia10955
DaimlerIndia19387
MicrosoftIndia24629
SamsungIndia148691
TotalEnergiesIndia651668
VolkswagenIndia2563388
AllianzIndonesia539413
AXAIndonesia150900
Bank of AmericaIndonesia435000
BMWIndonesia291
BNP ParibasIndonesia1759
ChevronIndonesia50000
PetroChinaIndonesia628522
ShellIndonesia3005045
TotalEnergiesIndonesia66957
VolkswagenIndonesia4377670
MitsubishiJapan41034
AllianzKenya1000
AppleKenya240000
BNP ParibasKenya5942
JP Morgan ChaseKenya1150
ShellKenya906962
TotalEnergiesKenya30
VolkswagenKenya19437
Bank of AmericaKenya/Uganda79840
AmazonLaos7
BMWLaos500
BMWMexico69
MicrosoftMexico3908
SamsungMexico1
HyundaiMyanmar1
ChevronNepal35552
ShellNepal43573
MicrosoftNicaragua10362
JP Morgan ChaseNorway200
ShellOman139264
AlphabetPakistan10
MicrosoftPakistan10000
BMWPanama500
WalmartPanama1404
AXAPeru47854
Bank of AmericaPeru100000
BMWPeru291
JP Morgan ChasePeru3000
MicrosoftPeru109685
PetroChinaPeru499552
ShellPeru4343454
TargetPeru11304
ToyotaPeru900
BNP ParibasPhilippines2346
AllianzRwanda1000
BMWRwanda/Nepal740630
BMWSenegal100000
ChevronSierra Leone1217
AllianzSudan162
VolkswagenTaiwan254500
VolkswagenTanzania200000
AXATurkey80000
BMWTurkey651
SamsungTurkey32
VolkswagenTurkey43343
AmazonUganda25
Deutsche Telekom AGUganda395
AXAUK13607
ShellUK838
AlphabetUruguay6
DellUruguay409
AlphabetUS180859
AnthemUS11800
AT&TUS2000
Bank of AmericaUS55000
ComcastUS788
DaimlerUS4185
JP Morgan ChaseUS201627
MicrosoftUS733653
ShellUS148695
TargetUS5105
UnitedHealthUS15764
ComcastZambia40
TotalEnergiesZambia54714
VolkswagenZambia43993
AlphabetZimbabwe5
TotalEnergiesZimbabwe22016
VolkswagenZimbabwe1285000

Sankey

chart subtitle

No country (519.3) No country (519.3) BMW (871.2) BMW (871.2) BNP Paribas (553.9) BNP Paribas (553.9) Deutsche Telekom AG (3.3) Deutsche Telekom AG (3.3) General Motors Company (15.5) General Motors Company (15.5) Australia (0.3) Australia (0.3) Microsoft (1,160.2) Microsoft (1,160.2) Belize (39.8) Belize (39.8) AXA (927.2) AXA (927.2) Brazil (202.1) Brazil (202.1) Allianz (542.3) Allianz (542.3) Alphabet (180.9) Alphabet (180.9) Amazon (0.6) Amazon (0.6) Peugeot (0.04) Peugeot (0.04) Samsung (153.6) Samsung (153.6) Shell (9,880.4) Shell (9,880.4) TotalEnergies (868.1) TotalEnergies (868.1) Brazil, Indonesia, Mexico and Kenya (100) Brazil, Indonesia, Mexico and Kenya (100) Comcast (3,216.9) Comcast (3,216.9) Bulgaria (390) Bulgaria (390) Cambodia (99.5) Cambodia (99.5) Chevron (6,018.7) Chevron (6,018.7) ITOCHU ENEX CO (0.3) ITOCHU ENEX CO (0.3) Canada (215.7) Canada (215.7) JP Morgan Chase (254.4) JP Morgan Chase (254.4) Chile (18.5) Chile (18.5) BP (26.7) BP (26.7) Walmart (2.2) Walmart (2.2) China (6,016.5) China (6,016.5) Apple (737) Apple (737) China State Construction (18.3) China State Construction (18.3) Exxon Mobil (0.006) Exxon Mobil (0.006) Hyundai (0.07) Hyundai (0.07) Mitsubishi (41.04) Mitsubishi (41.04) PetroChina (1,981) PetroChina (1,981) Sinopec Nanjing (6.6) Sinopec Nanjing (6.6) Volkswagen (9,606.7) Volkswagen (9,606.7) Colombia (5,844.5) Colombia (5,844.5) Cote d'Ivoire (74.4) Cote d'Ivoire (74.4) Finland (0.9) Finland (0.9) Germany (1.5) Germany (1.5) Ghana (25.5) Ghana (25.5) Guatemala (666.8) Guatemala (666.8) India (3,476.003) India (3,476.003) Daimler (23.6) Daimler (23.6) Indonesia (9,255.6) Indonesia (9,255.6) Bank of America (669.8) Bank of America (669.8) Japan (41.03) Japan (41.03) Kenya (1,174.5) Kenya (1,174.5) Kenya/Uganda (79.8) Kenya/Uganda (79.8) Laos (0.5) Laos (0.5) Mexico (4) Mexico (4) Myanmar (0.001) Myanmar (0.001) Nepal (79.1) Nepal (79.1) Nicaragua (10.4) Nicaragua (10.4) Norway (0.2) Norway (0.2) Oman (139.3) Oman (139.3) Pakistan (10.01) Pakistan (10.01) Panama (1.9) Panama (1.9) Peru (5,116.04) Peru (5,116.04) Target (16.4) Target (16.4) Toyota (0.9) Toyota (0.9) Philippines (2.3) Philippines (2.3) Rwanda (1) Rwanda (1) Rwanda/Nepal (740.6) Rwanda/Nepal (740.6) Senegal (100) Senegal (100) Sierra Leone (1.2) Sierra Leone (1.2) Sudan (0.2) Sudan (0.2) Taiwan (254.5) Taiwan (254.5) Tanzania (200) Tanzania (200) Turkey (124.03) Turkey (124.03) Uganda (0.4) Uganda (0.4) UK (14.4) UK (14.4) Uruguay (0.4) Uruguay (0.4) Dell (0.4) Dell (0.4) US (1,359.5) US (1,359.5) Anthem (11.8) Anthem (11.8) AT&T (2) AT&T (2) UnitedHealth (15.8) UnitedHealth (15.8) Zambia (98.7) Zambia (98.7) Zimbabwe (1,307.02) Zimbabwe (1,307.02)

If possible have this browser window on your main laptop screen (retina display) when saving images to ensure the highest quality capture.

* CSV requirements: There should be one (1) header row. Your headers should be label, value and, optionally color.

eg. data/sankeytest.csv