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Predloga:Tortni diagram/testniprimeri

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Special cases

[uredi kodo]
Possible gaps (rotation accuracy)
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
  1. United States: 116 (52,0%)
  2. China: 67 (30,0%)
  3. Russia: 19 (8,52%)
  4. India: 7 (3,14%)
  5. Japan: 3 (1,35%)
  6. North Korea: 3 (1,35%)
  7. Iran: 2 (0,90%)
  8. France: 2 (0,90%)
  9. South Korea: 2 (0,90%)
  10. Israel: 1 (0,45%)
  11. Italy: 1 (0,45%)
  1. United States: 116 (52,0%)
  2. China: 67 (30,0%)
  3. Russia: 19 (8,52%)
  4. India: 7 (3,14%)
  5. Japan: 3 (1,35%)
  6. North Korea: 3 (1,35%)
  7. Iran: 2 (0,90%)
  8. France: 2 (0,90%)
  9. South Korea: 2 (0,90%)
  10. Israel: 1 (0,45%)
  11. Italy: 1 (0,45%)
Close to 100 should be rounded
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
  1. A (40,0%)
  2. B (60,1%)
  1. A (40,0%)
  2. B (60,1%)
Close to 100 should be rounded
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
  1. A (40,0%)
  2. B (61,0%)
  1. A (40,0%)
  2. B (61,0%)

Default colors

[uredi kodo]
Default 4-values
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
EU funding programmes 2014-2020
(€1,087 billion)
  1. One (20,0%)
  2. Two (18,0%)
  3. Three (16,0%)
  4. Four (14,0%)
EU funding programmes 2014-2020
(€1,087 billion)
  1. One (20,0%)
  2. Two (18,0%)
  3. Three (16,0%)
  4. Four (14,0%)
Default 5-values
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
EU funding programmes 2014-2020
(€1,087 billion)
  1. One (20,0%)
  2. Two (18,0%)
  3. Three (16,0%)
  4. Four (14,0%)
  5. Five (12,0%)
EU funding programmes 2014-2020
(€1,087 billion)
  1. One (20,0%)
  2. Two (18,0%)
  3. Three (16,0%)
  4. Four (14,0%)
  5. Five (12,0%)
Default 6-values
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
EU funding programmes 2014-2020
(€1,087 billion)
  1. One (20,0%)
  2. Two (18,0%)
  3. Three (16,0%)
  4. Four (14,0%)
  5. Five (12,0%)
  6. Six (10,0%)
EU funding programmes 2014-2020
(€1,087 billion)
  1. One (20,0%)
  2. Two (18,0%)
  3. Three (16,0%)
  4. Four (14,0%)
  5. Five (12,0%)
  6. Six (10,0%)
Default 9-values + other
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
EU funding programmes 2014-2020
(€1,087 billion)
  1. One (20,0%)
  2. Two (18,0%)
  3. Three (16,0%)
  4. Four (14,0%)
  5. Five (12,0%)
  6. Six (9,00%)
  7. Seven (6,00%)
  8. Eight (3,00%)
  9. Nine (1,00%)
  10. Drugo (1,00%)
EU funding programmes 2014-2020
(€1,087 billion)
  1. One (20,0%)
  2. Two (18,0%)
  3. Three (16,0%)
  4. Four (14,0%)
  5. Five (12,0%)
  6. Six (9,00%)
  7. Seven (6,00%)
  8. Eight (3,00%)
  9. Nine (1,00%)
  10. Inne (1,00%)

Define colors

[uredi kodo]
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
EU funding programmes 2014-2020
(€1,087 billion)
  1. Sustainable Growth/Natural Resources (38,6%)
  2. Competitiveness for Growth and Jobs (13,1%)
  3. Global Europe (6,10%)
  4. Economic, Territorial and Social Cohesion (34,1%)
  5. Administration (6,40%)
  6. Security and Citizenship (1,70%)
EU funding programmes 2014-2020
(€1,087 billion)
  1. Sustainable Growth/Natural Resources (38,6%)
  2. Competitiveness for Growth and Jobs (13,1%)
  3. Global Europe (6,10%)
  4. Economic, Territorial and Social Cohesion (34,1%)
  5. Administration (6,40%)
  6. Security and Citizenship (1,70%)

Over under 100

[uredi kodo]

Not 100 total percent without other

[uredi kodo]
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
EU funding programmes 2014-2020
(€1,087 billion)
  1. Sustainable Growth/Natural Resources (38,6%)
  2. Competitiveness for Growth and Jobs (13,1%)
  3. Global Europe (6,10%)
  4. Economic, Territorial and Social Cohesion (34,1%)
EU funding programmes 2014-2020
(€1,087 billion)
  1. Sustainable Growth/Natural Resources (38,6%)
  2. Competitiveness for Growth and Jobs (13,1%)
  3. Global Europe (6,10%)
  4. Economic, Territorial and Social Cohesion (34,1%)

Autoscale values over 100

[uredi kodo]
{{Tortni diagram|caption=EU funding programmes 2014-2020<ref name="eu-2014-2020"/> |color1=darkgreen |color2=lightgreen |color3=darkblue |color4=lightbrown |color5=darkgrey |label1=Sustainable Growth/Natural Resources |label2=Economic, Territorial and Social Cohesion |label3=Competitiveness for Growth and Jobs |label4=Global Europe |label5=Administration |other=1 |thumb=left |value1=420 |value2=371 |value3=142 |value4=66 |value5=70}}
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
EU funding programmes 2014-2020[1]
  1. Sustainable Growth/Natural Resources 420 (39,3%)
  2. Economic, Territorial and Social Cohesion 371 (34,7%)
  3. Competitiveness for Growth and Jobs 142 (13,3%)
  4. Global Europe 66 (6,17%)
  5. Administration 70 (6,55%)
EU funding programmes 2014-2020[1]
  1. Sustainable Growth/Natural Resources 420 (39,3%)
  2. Economic, Territorial and Social Cohesion 371 (34,7%)
  3. Competitiveness for Growth and Jobs 142 (13,3%)
  4. Global Europe 66 (6,17%)
  5. Administration 70 (6,55%)

With other

[uredi kodo]

With other as 1

[uredi kodo]
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
  1. One (42,0%)
  2. Two (32,0%)
  3. Three (12,0%)
  4. Drugo (14,0%)
  1. One (42,0%)
  2. Two (32,0%)
  3. Three (12,0%)
  4. Inne (14,0%)

With other as yes

[uredi kodo]
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
  1. One (42,0%)
  2. Two (32,0%)
  3. Three (12,0%)
  4. Drugo (14,0%)
  1. One (42,0%)
  2. Two (32,0%)
  3. Three (12,0%)
  4. Inne (14,0%)

With other color

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{{Tortni diagram|label1=One |label2=Two |label3=Three |other=yes |other-color=lightpink |other-label=Pinky other |value1=42 |value2=32 |value3=12}}
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
  1. One (42,0%)
  2. Two (32,0%)
  3. Three (12,0%)
  4. Pinky other (14,0%)
  1. One (42,0%)
  2. Two (32,0%)
  3. Three (12,0%)
  4. Pinky other (14,0%)
[uredi kodo]

Links in labels and caption, with other, with custom colors.

Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
  1. Atheists and agnostics (59,0%)
  2. Catholics (26,8%)
  3. Protestants (2,50%)
  4. Drugo (11,7%)
  1. Atheists and agnostics (59,0%)
  2. Catholics (26,8%)
  3. Protestants (2,50%)
  4. Inne (11,7%)

With radius

[uredi kodo]

Small radius

[uredi kodo]
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
Distribution of languages in Tamil Nadu (2011)[2]
  1. Tamil (88,3%)
  2. Telugu (5,87%)
  3. Kannada (1,78%)
  4. Urdu (1,75%)
  5. Malayalam (1,01%)
  6. Others (1,24%)
Distribution of languages in Tamil Nadu (2011)[2]
  1. Tamil (88,3%)
  2. Telugu (5,87%)
  3. Kannada (1,78%)
  4. Urdu (1,75%)
  5. Malayalam (1,01%)
  6. Others (1,24%)

Big radius

[uredi kodo]
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
Over 70% of mammal species are in the orders Rodentia, Chiroptera, and Eulipotyphla.
  1. Rodentia (40,5%)
  2. Chiroptera (22,2%)
  3. Eulipotyphla (8,80%)
  4. Primates (7,80%)
  5. Artiodactyla (5,40%)
  6. Carnivora (4,70%)
  7. Diprotodontia (2,30%)
  8. Didelphimorphia (1,90%)
  9. Lagomorpha (1,70%)
  10. Dasyuromorphia (1,30%)
  11. Drugo (3,40%)
Over 70% of mammal species are in the orders Rodentia, Chiroptera, and Eulipotyphla.
  1. Rodentia (40,5%)
  2. Chiroptera (22,2%)
  3. Eulipotyphla (8,80%)
  4. Primates (7,80%)
  5. Artiodactyla (5,40%)
  6. Carnivora (4,70%)
  7. Diprotodontia (2,30%)
  8. Didelphimorphia (1,90%)
  9. Lagomorpha (1,70%)
  10. Dasyuromorphia (1,30%)
  11. Inne (3,40%)

Many values

[uredi kodo]

Many with custom colors

[uredi kodo]
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
Over 70% of mammal species are in the orders Rodentia, Chiroptera, and Eulipotyphla.
  1. Rodentia (40,5%)
  2. Chiroptera (22,2%)
  3. Eulipotyphla (8,80%)
  4. Primates (7,80%)
  5. Artiodactyla (5,40%)
  6. Carnivora (4,70%)
  7. Diprotodontia (2,30%)
  8. Didelphimorphia (1,90%)
  9. Lagomorpha (1,70%)
  10. Dasyuromorphia (1,30%)
  11. Afrosoricida (0,80%)
  12. Cingulata (0,30%)
  13. Macroscelidea (0,30%)
  14. Peramelemorphia (0,30%)
  15. Perissodactyla (0,30%)
  16. Pilosa (0,30%)
  17. Scandentia (0,30%)
  18. Paucituberculata (0,10%)
  19. Pholidota (0,10%)
  20. Hyracoidea (0,09%)
  21. Monotremata (0,08%)
  22. Sirenia (0,06%)
  23. Proboscidea (0,05%)
  24. Dermoptera (0,03%)
  25. Microbiotheria (0,03%)
  26. Notoryctemorphia (0,03%)
  27. Tubulidentata (0,02%)
Over 70% of mammal species are in the orders Rodentia, Chiroptera, and Eulipotyphla.
  1. Rodentia (40,5%)
  2. Chiroptera (22,2%)
  3. Eulipotyphla (8,80%)
  4. Primates (7,80%)
  5. Artiodactyla (5,40%)
  6. Carnivora (4,70%)
  7. Diprotodontia (2,30%)
  8. Didelphimorphia (1,90%)
  9. Lagomorpha (1,70%)
  10. Dasyuromorphia (1,30%)
  11. Afrosoricida (0,80%)
  12. Cingulata (0,30%)
  13. Macroscelidea (0,30%)
  14. Peramelemorphia (0,30%)
  15. Perissodactyla (0,30%)
  16. Pilosa (0,30%)
  17. Scandentia (0,30%)
  18. Paucituberculata (0,10%)
  19. Pholidota (0,10%)
  20. Hyracoidea (0,09%)
  21. Monotremata (0,08%)
  22. Sirenia (0,06%)
  23. Proboscidea (0,05%)
  24. Dermoptera (0,03%)
  25. Microbiotheria (0,03%)
  26. Notoryctemorphia (0,03%)
  27. Tubulidentata (0,02%)

Many with other

[uredi kodo]
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
Over 70% of mammal species are in the orders Rodentia, Chiroptera, and Eulipotyphla.
  1. Rodentia (40,5%)
  2. Chiroptera (22,2%)
  3. Eulipotyphla (8,80%)
  4. Primates (7,80%)
  5. Artiodactyla (5,40%)
  6. Carnivora (4,70%)
  7. Diprotodontia (2,30%)
  8. Didelphimorphia (1,90%)
  9. Lagomorpha (1,70%)
  10. Dasyuromorphia (1,30%)
  11. Afrosoricida (0,80%)
  12. Cingulata (0,30%)
  13. Macroscelidea (0,30%)
  14. Peramelemorphia (0,30%)
  15. Perissodactyla (0,30%)
  16. Pilosa (0,30%)
  17. Scandentia (0,30%)
  18. Paucituberculata (0,10%)
  19. Pholidota (0,10%)
  20. Hyracoidea (0,09%)
  21. Monotremata (0,08%)
  22. Sirenia (0,06%)
  23. Proboscidea (0,05%)
  24. Dermoptera (0,03%)
  25. Microbiotheria (0,03%)
  26. Notoryctemorphia (0,03%)
  27. Drugo (0,23%)
Over 70% of mammal species are in the orders Rodentia, Chiroptera, and Eulipotyphla.
  1. Rodentia (40,5%)
  2. Chiroptera (22,2%)
  3. Eulipotyphla (8,80%)
  4. Primates (7,80%)
  5. Artiodactyla (5,40%)
  6. Carnivora (4,70%)
  7. Diprotodontia (2,30%)
  8. Didelphimorphia (1,90%)
  9. Lagomorpha (1,70%)
  10. Dasyuromorphia (1,30%)
  11. Afrosoricida (0,80%)
  12. Cingulata (0,30%)
  13. Macroscelidea (0,30%)
  14. Peramelemorphia (0,30%)
  15. Perissodactyla (0,30%)
  16. Pilosa (0,30%)
  17. Scandentia (0,30%)
  18. Paucituberculata (0,10%)
  19. Pholidota (0,10%)
  20. Hyracoidea (0,09%)
  21. Monotremata (0,08%)
  22. Sirenia (0,06%)
  23. Proboscidea (0,05%)
  24. Dermoptera (0,03%)
  25. Microbiotheria (0,03%)
  26. Notoryctemorphia (0,03%)
  27. Inne (0,23%)

Many with default colors

[uredi kodo]
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
Over 70% of mammal species are in the orders Rodentia, Chiroptera, and Eulipotyphla.
  1. Rodentia (40,5%)
  2. Chiroptera (22,2%)
  3. Eulipotyphla (8,80%)
  4. Primates (7,80%)
  5. Artiodactyla (5,40%)
  6. Carnivora (4,70%)
  7. Diprotodontia (2,30%)
  8. Didelphimorphia (1,90%)
  9. Lagomorpha (1,70%)
  10. Dasyuromorphia (1,30%)
  11. Afrosoricida (0,80%)
  12. Cingulata (0,30%)
  13. Macroscelidea (0,30%)
  14. Peramelemorphia (0,30%)
  15. Perissodactyla (0,30%)
  16. Pilosa (0,30%)
  17. Scandentia (0,30%)
  18. Paucituberculata (0,10%)
  19. Pholidota (0,10%)
  20. Hyracoidea (0,09%)
  21. Monotremata (0,08%)
  22. Sirenia (0,06%)
  23. Proboscidea (0,05%)
  24. Dermoptera (0,03%)
  25. Microbiotheria (0,03%)
  26. Notoryctemorphia (0,03%)
  27. Tubulidentata (0,02%)
Over 70% of mammal species are in the orders Rodentia, Chiroptera, and Eulipotyphla.
  1. Rodentia (40,5%)
  2. Chiroptera (22,2%)
  3. Eulipotyphla (8,80%)
  4. Primates (7,80%)
  5. Artiodactyla (5,40%)
  6. Carnivora (4,70%)
  7. Diprotodontia (2,30%)
  8. Didelphimorphia (1,90%)
  9. Lagomorpha (1,70%)
  10. Dasyuromorphia (1,30%)
  11. Afrosoricida (0,80%)
  12. Cingulata (0,30%)
  13. Macroscelidea (0,30%)
  14. Peramelemorphia (0,30%)
  15. Perissodactyla (0,30%)
  16. Pilosa (0,30%)
  17. Scandentia (0,30%)
  18. Paucituberculata (0,10%)
  19. Pholidota (0,10%)
  20. Hyracoidea (0,09%)
  21. Monotremata (0,08%)
  22. Sirenia (0,06%)
  23. Proboscidea (0,05%)
  24. Dermoptera (0,03%)
  25. Microbiotheria (0,03%)
  26. Notoryctemorphia (0,03%)
  27. Tubulidentata (0,02%)
[uredi kodo]
Primerjava drug ob drugem
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
EU funding programmes 2014-2020
  1. Sustainable Growth (38,0%)
  2. Competitiveness (24,0%)
  3. Global Europe (20,0%)
  4. Savings (18,0%)
EU funding programmes 2014-2020
  1. Sustainable Growth (38,0%)
  2. Competitiveness (24,0%)
  3. Global Europe (20,0%)
  4. Savings (18,0%)


Thumb

[uredi kodo]

Thumb left

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Thumb right

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Minimal

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Minimal (sandbox)

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Minimal in table

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Worldwide Catholic Population (2004)
Region Latin

America

Europe Oceania North

America

Africa Asia World
Percent catholic 83,3%
36,4%
26,8%
25,1%
17,9%
4,3%
21,6%
Percent of worldwide

Catholic population

42%
25%
1%
8%
13%
12%
All

Minimal in table (sandbox)

[uredi kodo]
Worldwide Catholic Population (2004)
Region Latin

America

Europe Oceania North

America

Africa Asia World
Percent catholic 83,3%
36,4%
26,8%
25,1%
17,9%
4,3%
21,6%
Percent of worldwide

Catholic population

42%
25%
1%
8%
13%
12%
All

Long labels with $auto

[uredi kodo]

Long labels with custom labelformat

[uredi kodo]

Long labels with custom labelformat non-JSON meta

[uredi kodo]

Long labels with $percent and emoji-icons

[uredi kodo]

Big raw numbers

[uredi kodo]
 
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
  1. Asia: 4.694.576.167 (59,4%)
  2. Africa: 1.393.676.444 (17,6%)
  3. Europe: 745.173.774 (9,42%)
  4. North America: 595.783.465 (7,53%)
  5. South America: 434.254.119 (5,49%)
  6. Oceania: 44.491.724 (0,56%)
  7. Antarctica: 0 (0,00%)
  1. Asia: 4.694.576.167 (59,4%)
  2. Africa: 1.393.676.444 (17,6%)
  3. Europe: 745.173.774 (9,42%)
  4. North America: 595.783.465 (7,53%)
  5. South America: 434.254.119 (5,49%)
  6. Oceania: 44.491.724 (0,56%)
  7. Antarctica: 0 (0,00%)

Values in mln

[uredi kodo]
 
{{Tortni diagram}}{{Tortni diagram/peskovnik}}
  1. Asia: 4.694,58 mln (59,4%)
  2. Africa: 1.393,68 mln (17,6%)
  3. Europe: 745,17 mln (9,42%)
  4. North America: 595,78 mln (7,53%)
  5. South America: 434,25 mln (5,49%)
  6. Oceania: 44,49 mln (0,56%)
  7. Antarctica: 0 mln (0,00%)
  1. Asia: 4.694,58 mln (59,4%)
  2. Africa: 1.393,68 mln (17,6%)
  3. Europe: 745,17 mln (9,42%)
  4. North America: 595,78 mln (7,53%)
  5. South America: 434,25 mln (5,49%)
  6. Oceania: 44,49 mln (0,56%)
  7. Antarctica: 0 mln (0,00%)

Complicated decimal numbers

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{{Tortni diagram}}{{Tortni diagram/peskovnik}}
  1. triangle: 35.332,111 (30,7%)
  2. square: 39.503,21 (34,3%)
  3. circle: 40.110 (34,9%)
  4. pentagon: 77,4958 (0,07%)
  1. triangle: 35.332,111 (30,7%)
  2. square: 39.503,21 (34,3%)
  3. circle: 40.110 (34,9%)
  4. pentagon: 77,4958 (0,07%)

Colors rendering

[uredi kodo]

Custom colors

Default colors

Default labels

Full color palette

Custom colors legend

  1. pie: 40,0%
  2. cheese pizza: 20,0%
  3. mixed pizza: 20,0%
  4. raw pizza: 20,0%

Colors rendering (sandbox)

[uredi kodo]

Custom colors

Default colors

Default labels

Full color palette

Custom colors legend

  1. pie: 40,0%
  2. cheese pizza: 20,0%
  3. mixed pizza: 20,0%
  4. raw pizza: 20,0%

Legend position

[uredi kodo]
{{Pie chart| thumb=none| [
 {"label": "ciastka", "value": 2, "color":"goldenrod"},
 {"label": "napoje", "value": 1, "color":"#ccf"},
 {"label": "słodycze", "value": 5, "color":"darkred"},
 {"label": "kanapki", "value": 3, "color":"wheat"}
]
|meta={"autoscale":true, "legend":true, "direction":"row|row-reverse|column|column-reverse"}
}}

(border for clarity)

Default

  1. ciastka: 2 (18,2%)
  2. napoje: 1 (9,09%)
  3. słodycze: 5 (45,5%)
  4. kanapki: 3 (27,3%)

row

  1. ciastka: 2 (18,2%)
  2. napoje: 1 (9,09%)
  3. słodycze: 5 (45,5%)
  4. kanapki: 3 (27,3%)

row-reverse

  1. ciastka: 2 (18,2%)
  2. napoje: 1 (9,09%)
  3. słodycze: 5 (45,5%)
  4. kanapki: 3 (27,3%)

column

  1. ciastka: 2 (18,2%)
  2. napoje: 1 (9,09%)
  3. słodycze: 5 (45,5%)
  4. kanapki: 3 (27,3%)

column-reverse

  1. ciastka: 2 (18,2%)
  2. napoje: 1 (9,09%)
  3. słodycze: 5 (45,5%)
  4. kanapki: 3 (27,3%)

Legend position (sandbox)

[uredi kodo]
{{Pie chart/peskovnik| thumb=none| [
 {"label": "ciastka", "value": 2, "color":"goldenrod"},
 {"label": "napoje", "value": 1, "color":"#ccf"},
 {"label": "słodycze", "value": 5, "color":"darkred"},
 {"label": "kanapki", "value": 3, "color":"wheat"}
]
|meta={"autoscale":true, "legend":true, "direction":"row|row-reverse|column|column-reverse"}
}}

(border for clarity)

Default

  1. ciastka: 2 (18,2%)
  2. napoje: 1 (9,09%)
  3. słodycze: 5 (45,5%)
  4. kanapki: 3 (27,3%)

row

  1. ciastka: 2 (18,2%)
  2. napoje: 1 (9,09%)
  3. słodycze: 5 (45,5%)
  4. kanapki: 3 (27,3%)

row-reverse

  1. ciastka: 2 (18,2%)
  2. napoje: 1 (9,09%)
  3. słodycze: 5 (45,5%)
  4. kanapki: 3 (27,3%)

column

  1. ciastka: 2 (18,2%)
  2. napoje: 1 (9,09%)
  3. słodycze: 5 (45,5%)
  4. kanapki: 3 (27,3%)

column-reverse

  1. ciastka: 2 (18,2%)
  2. napoje: 1 (9,09%)
  3. słodycze: 5 (45,5%)
  4. kanapki: 3 (27,3%)


References

[uredi kodo]
  1. 1 2 https://commission.europa.eu/strategy-and-policy/eu-budget/long-term-eu-budget/2014-2020/eu-funding-programmes_en
  2. 1 2 A list-defined reference.
  3. And then he said yadda, yadda, yadda... And we knew how things were.
  4. And then he said yadda, yadda, yadda... And we knew how things were.