Chart Gallery Quorum features a variety of chart types to suit different needs for data visualization. Below are several examples of what is possible using the Chart library. It is by no means exhaustive, but rather intended to highlight common use cases and design possibilities.Bar Charts One Factor, One Column
Australia
Brazil
Czech Republic
France
Hong Kong
Japan
Mexico
Russia
Spain
Sweden
Switzerland
USA
0
100
200
300
400
500
600
Countries
Cost (in USD $)
How Expensive are Night Outs Per Country
Various nightly activities cost in different countries
Cost: 189.95000000000002
Cost: 139.77
Cost: 132.81
Cost: 199.18
Cost: 175.96
Cost: 258.21
Cost: 105.16999999999999
Cost: 135.97
Cost: 167.54000000000002
Cost: 275.8
Cost: 272.90999999999997
Cost: 512.6199999999999
One Factor, Three Columns, and Horizontal Orientation
Nutrition Amounts
Proteins
Carbohydrates
Fat
0
5
10
15
20
25
30
Beef
Blueberries
Carrot
Chicken
Egg
Mango
Milk
Pineapple
Pork
Potato
Strawberries
Tomato
Food Types
Nutrition (in grams)
Nutrition Levels on Various Foods
How healthy certain foods are
Proteins, Beef: 23
Carbohydrates, Beef: 0
Fat, Beef: 8
Proteins, Blueberries: 1
Carbohydrates, Blueberries: 14
Fat, Blueberries: 0
Proteins, Carrot: 1
Carbohydrates, Carrot: 10
Fat, Carrot: 0
Proteins, Chicken: 22
Carbohydrates, Chicken: 1
Fat, Chicken: 2
Proteins, Egg: 13
Carbohydrates, Egg: 1
Fat, Egg: 10
Proteins, Mango: 1
Carbohydrates, Mango: 15
Fat, Mango: 0
Proteins, Milk: 8
Carbohydrates, Milk: 12
Fat, Milk: 8
Proteins, Pineapple: 1
Carbohydrates, Pineapple: 13
Fat, Pineapple: 0
Proteins, Pork: 23
Carbohydrates, Pork: 1
Fat, Pork: 3
Proteins, Potato: 3
Carbohydrates, Potato: 26
Fat, Potato: 0
Proteins, Strawberries: 1
Carbohydrates, Strawberries: 8
Fat, Strawberries: 0
Proteins, Tomato: 1
Carbohydrates, Tomato: 5
Fat, Tomato: 0
One Factor, Three Columns
Theme Parks
Disney World
Disneyland
Universal Studios Hollywood
2010
2011
2012
2013
2014
2015
2016
2017
0
20
40
60
80
100
120
Year
Cost (in USD $)
Cost of Theme Park Tickets Over the Years
Prices of Tickets With Theme Parks
Disney World, 2010.0: 82
Disneyland, 2010.0: 76
Universal Studios Hollywood, 2010.0: 75
Disney World, 2011.0: 85
Disneyland, 2011.0: 80
Universal Studios Hollywood, 2011.0: 81
Disney World, 2012.0: 89
Disneyland, 2012.0: 87
Universal Studios Hollywood, 2012.0: 86
Disney World, 2013.0: 95
Disneyland, 2013.0: 92
Universal Studios Hollywood, 2013.0: 91
Disney World, 2014.0: 99
Disneyland, 2014.0: 96
Universal Studios Hollywood, 2014.0: 95
Disney World, 2015.0: 106
Disneyland, 2015.0: 99
Universal Studios Hollywood, 2015.0: 98
Disney World, 2016.0: 110
Disneyland, 2016.0: 105
Universal Studios Hollywood, 2016.0: 104
Disney World, 2017.0: 115
Disneyland, 2017.0: 110
Universal Studios Hollywood, 2017.0: 109
Two Factors, One Column, Separated by Factors, and Colorgorical Colors
Activity
2 Longdrinks
Big Mac
Cinema entry
Club entry
Dinner
Drinks at Dinner
Taxi
2 Longdrinks
Big Mac
Cinema entry
Club entry
Dinner
Drinks at Dinner
Taxi
2 Longdrinks
Big Mac
Cinema entry
Club entry
Dinner
Drinks at Dinner
Taxi
2 Longdrinks
Big Mac
Cinema entry
Club entry
Dinner
Drinks at Dinner
Taxi
2 Longdrinks
Big Mac
Cinema entry
Club entry
Dinner
Drinks at Dinner
Taxi
2 Longdrinks
Big Mac
Cinema entry
Club entry
Dinner
Drinks at Dinner
Taxi
2 Longdrinks
Big Mac
Cinema entry
Club entry
Dinner
Drinks at Dinner
Taxi
2 Longdrinks
Big Mac
Cinema entry
Club entry
Dinner
Drinks at Dinner
Taxi
0
100
200
300
0
100
200
300
Activity
Cost (in USD $)
How Expensive are Night Outs Per Country
Various nightly activities cost in different countries
2 Longdrinks, Australia: 28.3
Big Mac, Australia: 4.42
Cinema entry, Australia: 13.96
Club entry, Australia: 19.66
Dinner, Australia: 78.62
Drinks at Dinner, Australia: 34.59
Taxi, Australia: 10.4
2 Longdrinks, Brazil: 18.49
Big Mac, Brazil: 5.61
Cinema entry, Brazil: 8.48
Club entry, Brazil: 14.76
Dinner, Brazil: 57.02
Drinks at Dinner, Brazil: 30.2
Taxi, Brazil: 5.21
2 Longdrinks, Czech Republic: 14.48
Big Mac, Czech Republic: 3.74
Cinema entry, Czech Republic: 9.43
Club entry, Czech Republic: 19.44
Dinner, Czech Republic: 53.46
Drinks at Dinner, Czech Republic: 23.63
Taxi, Czech Republic: 8.63
2 Longdrinks, France: 29.6
Big Mac, France: 5.37
Cinema entry, France: 13.15
Club entry, France: 14.8
Dinner, France: 85.11
Drinks at Dinner, France: 40.09
Taxi, France: 11.06
2 Longdrinks, Hong Kong: 27.59
Big Mac, Hong Kong: 2.87
Cinema entry, Hong Kong: 13.57
Club entry, Hong Kong: 25.55
Dinner, Hong Kong: 75.42
Drinks at Dinner, Hong Kong: 24.64
Taxi, Hong Kong: 6.32
2 Longdrinks, Japan: 18.94
Big Mac, Japan: 3.5
Cinema entry, Japan: 16.73
Club entry, Japan: 18.58
Dinner, Japan: 121.26
Drinks at Dinner, Japan: 62.18
Taxi, Japan: 17.02
2 Longdrinks, Mexico: 11.6
Big Mac, Mexico: 3.01
Cinema entry, Mexico: 4.21
Club entry, Mexico: 3.22
Dinner, Mexico: 55.51
Drinks at Dinner, Mexico: 25.1
Taxi, Mexico: 2.52
2 Longdrinks, Russia: 15.83
Big Mac, Russia: 2.29
Cinema entry, Russia: 8.22
Club entry, Russia: 1.32
Dinner, Russia: 57.26
Drinks at Dinner, Russia: 43.93
Taxi, Russia: 7.12
2 Longdrinks, Spain: 24.67
Big Mac, Spain: 4.75
Cinema entry, Spain: 11.87
Club entry, Spain: 24.67
Dinner, Spain: 69.38
Drinks at Dinner, Spain: 21.28
Taxi, Spain: 10.92
2 Longdrinks, Sweden: 34.3
Big Mac, Sweden: 5.62
Cinema entry, Sweden: 19.19
Club entry, Sweden: 27.14
Dinner, Sweden: 111.04
Drinks at Dinner, Sweden: 58.6
Taxi, Sweden: 19.91
2 Longdrinks, Switzerland: 36.03
Big Mac, Switzerland: 6.89
Cinema entry, Switzerland: 19.61
Club entry, Switzerland: 26.5
Dinner, Switzerland: 106.51
Drinks at Dinner, Switzerland: 52.99
Taxi, Switzerland: 24.38
2 Longdrinks, USA: 64
Big Mac, USA: 9.899999999999999
Cinema entry, USA: 28.74
Club entry, USA: 65
Dinner, USA: 237.51
Drinks at Dinner, USA: 80.57
Taxi, USA: 26.9
Australia
Brazil
Czech Republic
France
Hong Kong
Japan
Mexico
Russia
Spain
Sweden
Switzerland
USA
Histograms One Column
Cost a Night
price
0
50
100
150
200
250
300
350
400
450
500
550
600
650
700
750
800
850
0
10
20
30
40
50
60
70
80
90
Price
Count
Average Price a Night for an AirBnB in 2019 (NYC)
How expensive does staying in NYC cost
price: 7
price: 81
price: 73
price: 41
price: 21
price: 15
price: 2
price: 3
price: 1
price: 1
price: 3
price: 0
price: 0
price: 0
price: 0
price: 0
price: 1
Two Columns, Horizontal Orientation
How long dogs live
Minimum Life Span
Maximum Life Span
0
10
20
30
40
50
0
2
4
6
8
10
12
14
16
18
20
22
0
2
4
6
8
10
12
14
16
18
20
22
Total
Age (in Years)
Minimum and Maximum Life Expectancy for Various Dog Breeds
Age ranges of Dog Breeds
Minimum Life Span: 0
Minimum Life Span: 0
Minimum Life Span: 0
Minimum Life Span: 4
Minimum Life Span: 8
Minimum Life Span: 45
Minimum Life Span: 42
Minimum Life Span: 6
Minimum Life Span: 0
Minimum Life Span: 0
Minimum Life Span: 0
Maximum Life Span: 0
Maximum Life Span: 0
Maximum Life Span: 0
Maximum Life Span: 0
Maximum Life Span: 2
Maximum Life Span: 10
Maximum Life Span: 35
Maximum Life Span: 48
Maximum Life Span: 7
Maximum Life Span: 2
Maximum Life Span: 1
Minimum Life Span
Maximum Life Span
One Column
Measurments of Iris
SepalWidthCm
0
1
2
3
4
5
6
0
10
20
30
40
50
60
70
80
90
Sepal Width (CM)
Number of Irises
Iris Classification
Age ranges of Dog Breeds
SepalWidthCm: 0
SepalWidthCm: 0
SepalWidthCm: 57
SepalWidthCm: 89
SepalWidthCm: 4
SepalWidthCm: 0
Two Columns Seperated by Series
How long dogs live
Minimum Life Span
Maximum Life Span
0
10
20
30
40
50
0
10
20
30
40
50
0
2
4
6
8
10
12
14
16
18
20
22
Total
Age (in Years)
Minimum and Maximum Life Expectancy for Various Dog Breeds
Age ranges of Dog Breeds
Minimum Life Span: 0
Minimum Life Span: 0
Minimum Life Span: 0
Minimum Life Span: 4
Minimum Life Span: 8
Minimum Life Span: 45
Minimum Life Span: 42
Minimum Life Span: 6
Minimum Life Span: 0
Minimum Life Span: 0
Minimum Life Span: 0
Maximum Life Span: 0
Maximum Life Span: 0
Maximum Life Span: 0
Maximum Life Span: 0
Maximum Life Span: 2
Maximum Life Span: 10
Maximum Life Span: 35
Maximum Life Span: 48
Maximum Life Span: 7
Maximum Life Span: 2
Maximum Life Span: 1
Minimum Life Span
Maximum Life Span
Pie Charts One Factor
Operating System
ChromeOS
Linux
Other
Windows
macOS
Desktop OS Market Share
Most Popular Music Genres in Spotify
Windows: 62%
62%
macOS: 21%
21%
Linux: 9%
9%
ChromeOS: 5%
5%
Other: 3%
3%
Donut Chart set at 20%
Genres
Action
Biography
Comedy
Crime
Drama
Movie Distribution by Genre
Most Popular Movie Genres
Comedy: 32.57%
32.57%
Action: 27.77%
27.77%
Drama: 23.2%
23.2%
Crime: 8.72%
8.72%
Biography: 7.75%
7.75%
Donut Chart set at 10%
Variety
Cabernet Sauvignon
Cabernet Sauvignon-Syrah
Chardonnay
Friulano
Malbec
Mavrud
MencÃa
Palomino
Petite Sirah
Pinot Noir
Provence red blend
Red Blend
Rhône-style White Blend
Riesling
Rosé
Sangiovese
Sauvignon Blanc
Sparkling Blend
Syrah
Tannat
Tempranillo
Tempranillo Blend
Tinta de Toro
Top Wine Reviews Based on Type
Praised wine categorized by type
Pinot Noir: 20.34%
20.34%
Chardonnay: 11.86%
11.86%
Sangiovese: 11.86%
11.86%
Cabernet Sauvignon: 8.47%
8.47%
Tinta de Toro: 8.47%
8.47%
Red Blend: 5.08%
5.08%
Sauvignon Blanc: 5.08%
5.08%
Syrah: 3.39%
3.39%
Cabernet Sauvignon-Syrah: 1.69%
1.69%
Friulano: 1.69%
1.69%
Malbec: 1.69%
1.69%
Mavrud: 1.69%
1.69%
MencÃa: 1.69%
1.69%
Palomino: 1.69%
1.69%
Petite Sirah: 1.69%
1.69%
Provence red blend: 1.69%
1.69%
Rhône-style White Blend: 1.69%
1.69%
Riesling: 1.69%
1.69%
Rosé: 1.69%
1.69%
Sparkling Blend: 1.69%
1.69%
Tannat: 1.69%
1.69%
Tempranillo: 1.69%
1.69%
Tempranillo Blend: 1.69%
1.69%
Donut Chart set at 50%, Seperated by Factors, and Cool Colors
Genres
energy
danceability
Genres of the Most Streamed Songs on Spotify
Most Popular Music Genres in Spotify
energy: 50.7%
50.7%
danceability: 49.3%
49.3%
energy: 58.87%
58.87%
danceability: 41.13%
41.13%
energy: 50.45%
50.45%
danceability: 49.55%
49.55%
cali rap
canadian contemporary r&b
pop
Line Charts Two Columns, One Factor
Christmas Shopping Spending
Christmas spend in US
Christmas spend in UK
1995
2000
2005
2010
2015
2020
2025
600
700
800
900
1000
600
700
800
900
1000
Year
Money Spent (in $)
How Much the US and UK Spend During Christmas
Overtime, shopping costs have increased over the years in XMAS shopping
Christmas spend in US: (1999, 857)
Christmas spend in US: (2000, 817)
Christmas spend in US: (2001, 794)
Christmas spend in US: (2002, 690)
Christmas spend in US: (2003, 734)
Christmas spend in US: (2004, 730)
Christmas spend in US: (2005, 763)
Christmas spend in US: (2006, 826)
Christmas spend in US: (2007, 866)
Christmas spend in US: (2008, 616)
Christmas spend in US: (2009, 638)
Christmas spend in US: (2010, 714)
Christmas spend in US: (2011, 764)
Christmas spend in US: (2012, 770)
Christmas spend in US: (2013, 704)
Christmas spend in US: (2014, 720)
Christmas spend in US: (2015, 830)
Christmas spend in US: (2016, 752)
Christmas spend in US: (2017, 862)
Christmas spend in US: (2018, 794)
Christmas spend in US: (2019, 846)
Christmas spend in US: (2020, 852)
Christmas spend in US: (2021, 886)
Christmas spend in UK: (1999, 945)
Christmas spend in UK: (2000, 926)
Christmas spend in UK: (2001, 845)
Christmas spend in UK: (2002, 760)
Christmas spend in UK: (2003, 832)
Christmas spend in UK: (2004, 830)
Christmas spend in UK: (2005, 850)
Christmas spend in UK: (2006, 901)
Christmas spend in UK: (2007, 895)
Christmas spend in UK: (2008, 896)
Christmas spend in UK: (2009, 742)
Christmas spend in UK: (2010, 869)
Christmas spend in UK: (2011, 854)
Christmas spend in UK: (2012, 745)
Christmas spend in UK: (2013, 831)
Christmas spend in UK: (2014, 801)
Christmas spend in UK: (2015, 923)
Christmas spend in UK: (2016, 867)
Christmas spend in UK: (2017, 987)
Christmas spend in UK: (2018, 754)
Christmas spend in UK: (2019, 883)
Christmas spend in UK: (2020, 971)
Christmas spend in UK: (2021, 989)
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in US
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Christmas spend in UK
Four Columns, One Factor, Hiding Points, and Calm Colors
Vaccination Ratios
people_fully_vaccinated_per_hundred
total_vaccinations_per_hundred
people_vaccinated_per_hundred
distributed_per_hundred
2/2/2021
2/5/2021
2/8/2021
2/11/2021
2/14/2021
2/17/2021
2/20/2021
2/23/2021
2/26/2021
3/1/2021
0
10
20
30
0
10
20
30
0
10
20
30
0
10
20
30
Date
People Vaccinated (per hundred)
Covid-19 Vaccinations in Nevada in Feb. 2021
How Well COVID-19 Distribution Was In NV
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
people_fully_vaccinated_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
total_vaccinations_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
people_vaccinated_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
distributed_per_hundred
Scatter Plots Two Columns
1
2
3
4
5
6
7
8
9
10
45
50
55
60
65
70
75
80
85
90
95
100
Study Hours
Test Score
Study Time and Test Scores
TestScore: (1, 48)
TestScore: (1.5, 52)
TestScore: (2, 55)
TestScore: (2.5, 54)
TestScore: (3, 60)
TestScore: (3.5, 63)
TestScore: (4, 61)
TestScore: (4.5, 68)
TestScore: (5, 72)
TestScore: (5.5, 70)
TestScore: (6, 76)
TestScore: (6.5, 80)
TestScore: (7, 78)
TestScore: (7.5, 85)
TestScore: (8, 88)
TestScore: (8.5, 86)
TestScore: (9, 91)
TestScore: (9.5, 90)
TestScore: (10, 95)
Two Columns, One Factor, Showing Regression
Channel
Search Ads
Revenue (Thousands) = 5.82*Ad Spend (Thousands) + 5.53
R^2 = 0.9912
Social Ads
Revenue (Thousands) = 3.67*Ad Spend (Thousands) + 6.74
R^2 = 0.9905
2
4
6
8
10
12
14
10
20
30
40
50
60
70
80
90
Ad Spend (Thousands)
Revenue (Thousands)
Ad Spend and Revenue
Search Ads: (2, 17)
Search Ads: (3, 25)
Search Ads: (4, 27)
Search Ads: (5, 36)
Search Ads: (6, 39)
Search Ads: (7, 47)
Search Ads: (8, 50)
Search Ads: (9, 60)
Search Ads: (10, 61)
Search Ads: (11, 72)
Search Ads: (12, 73)
Search Ads: (13, 83)
Social Ads: (2, 13)
Social Ads: (3, 18)
Social Ads: (4, 20)
Social Ads: (5, 25)
Social Ads: (6, 31)
Social Ads: (7, 32)
Social Ads: (8, 38)
Social Ads: (9, 39)
Social Ads: (10, 45)
Social Ads: (11, 46)
Social Ads: (12, 51)
Social Ads: (13, 53)
Search Ads, regression line from (2, 17.17) to (14, 86.98). Regression Equation: Revenue (Thousands) = 5.82*Ad Spend (Thousands) + 5.53
Social Ads, regression line from (2, 14.08) to (14, 58.09). Regression Equation: Revenue (Thousands) = 3.67*Ad Spend (Thousands) + 6.74
Two Columns, One Factor
AnimalType
Bird
LargeMammal
Reptile
Rodent
0
50
100
150
200
250
300
350
400
0
50
100
150
200
250
300
350
Body Length
Weight (kg)
Animal Sizes
Bird: (35, 0.9)
Bird: (38, 1.7)
Bird: (40, 1.2)
Bird: (42, 1.8)
Bird: (45, 1)
Bird: (47, 2.2)
Bird: (48, 1.1)
Bird: (50, 1.6)
Bird: (52, 2.4)
Bird: (53, 1.5)
Bird: (55, 1.4)
Bird: (58, 1.3)
Bird: (60, 2.1)
Bird: (62, 2)
Bird: (65, 2.6)
LargeMammal: (160, 90)
LargeMammal: (180, 120)
LargeMammal: (200, 150)
LargeMammal: (220, 110)
LargeMammal: (230, 240)
LargeMammal: (240, 180)
LargeMammal: (260, 140)
LargeMammal: (270, 170)
LargeMammal: (280, 220)
LargeMammal: (300, 190)
LargeMammal: (310, 280)
LargeMammal: (320, 260)
LargeMammal: (340, 210)
LargeMammal: (350, 160)
LargeMammal: (360, 300)
Reptile: (80, 6)
Reptile: (85, 13)
Reptile: (90, 4)
Reptile: (95, 11)
Reptile: (100, 8)
Reptile: (105, 5)
Reptile: (110, 10)
Reptile: (115, 14)
Reptile: (120, 7)
Reptile: (125, 6)
Reptile: (130, 12)
Reptile: (135, 15)
Reptile: (140, 9)
Reptile: (150, 16)
Reptile: (160, 11)
Rodent: (18, 0.25)
Rodent: (20, 0.5)
Rodent: (21, 0.33)
Rodent: (22, 0.35)
Rodent: (23, 0.42)
Rodent: (24, 0.3)
Rodent: (25, 0.4)
Rodent: (26, 0.6)
Rodent: (27, 0.38)
Rodent: (28, 0.55)
Rodent: (29, 0.65)
Rodent: (30, 0.45)
Rodent: (32, 0.7)
Rodent: (33, 0.58)
Rodent: (35, 0.8)
Two Columns, One Factor, Larger Points, and Exciting Colors
Food Category
Bakery
Beverages
Eggs, Meat & Fish
Food Grains
Fruits & Veggies
Oil & Masala
Snacks
500
750
1000
1250
1500
1750
2000
2250
2500
0
100
200
300
400
500
600
700
800
900
1000
1100
Sales
Profit
Earnings of Supermart Grocery Stores
How much of a profit does Supermark make based on various grocery items.
Bakery: (649, 201.19)
Bakery: (791, 181.93)
Bakery: (866, 381.04)
Bakery: (975, 390)
Bakery: (979, 401.39)
Bakery: (1259, 415.47)
Bakery: (1417, 99.19)
Bakery: (1658, 315.02)
Bakery: (1663, 731.72)
Bakery: (1678, 318.82)
Bakery: (1795, 484.65)
Bakery: (2111, 189.99)
Bakery: (2118, 910.74)
Bakery: (2220, 111)
Beverages: (522, 208.8)
Beverages: (540, 108)
Beverages: (660, 92.4)
Beverages: (692, 159.16)
Beverages: (707, 148.47)
Beverages: (713, 192.51)
Beverages: (749, 149.8)
Beverages: (768, 184.32)
Beverages: (809, 80.9)
Beverages: (902, 153.34)
Beverages: (934, 56.04)
Beverages: (1241, 409.53)
Beverages: (1443, 187.59)
Beverages: (1489, 193.57)
Beverages: (1527, 671.88)
Beverages: (1617, 113.19)
Beverages: (1690, 422.5)
Beverages: (1845, 166.05)
Beverages: (1868, 616.44)
Beverages: (1965, 117.9)
Beverages: (1988, 874.72)
Beverages: (2027, 912.15)
Beverages: (2112, 105.6)
Beverages: (2121, 678.72)
Beverages: (2306, 553.44)
Beverages: (2354, 682.66)
Beverages: (2364, 1040.16)
Beverages: (2373, 664.44)
Eggs, Meat & Fish: (556, 155.68)
Eggs, Meat & Fish: (607, 200.31)
Eggs, Meat & Fish: (640, 140.8)
Eggs, Meat & Fish: (701, 308.44)
Eggs, Meat & Fish: (737, 280.06)
Eggs, Meat & Fish: (765, 252.45)
Eggs, Meat & Fish: (769, 46.14)
Eggs, Meat & Fish: (831, 207.75)
Eggs, Meat & Fish: (867, 329.46)
Eggs, Meat & Fish: (921, 184.2)
Eggs, Meat & Fish: (994, 357.84)
Eggs, Meat & Fish: (1088, 424.32)
Eggs, Meat & Fish: (1100, 495)
Eggs, Meat & Fish: (1179, 271.17)
Eggs, Meat & Fish: (1230, 442.8)
Eggs, Meat & Fish: (1235, 74.1)
Eggs, Meat & Fish: (1265, 569.25)
Eggs, Meat & Fish: (1316, 421.12)
Eggs, Meat & Fish: (1420, 355)
Eggs, Meat & Fish: (1663, 665.2)
Eggs, Meat & Fish: (1757, 386.54)
Eggs, Meat & Fish: (1824, 766.08)
Eggs, Meat & Fish: (1985, 734.45)
Eggs, Meat & Fish: (2045, 879.35)
Eggs, Meat & Fish: (2340, 491.4)
Eggs, Meat & Fish: (2352, 870.24)
Eggs, Meat & Fish: (2354, 188.32)
Eggs, Meat & Fish: (2403, 624.78)
Food Grains: (903, 90.3)
Food Grains: (948, 47.4)
Food Grains: (1233, 234.27)
Food Grains: (1294, 77.64)
Food Grains: (1335, 293.7)
Food Grains: (1368, 383.04)
Food Grains: (1442, 605.64)
Food Grains: (1458, 597.78)
Food Grains: (1487, 148.7)
Food Grains: (1487, 505.58)
Food Grains: (1564, 187.68)
Food Grains: (1624, 194.88)
Food Grains: (1739, 765.16)
Food Grains: (1759, 615.65)
Food Grains: (1801, 126.07)
Food Grains: (1856, 723.84)
Food Grains: (1878, 450.72)
Food Grains: (2128, 383.04)
Food Grains: (2287, 1029.15)
Food Grains: (2300, 1035)
Food Grains: (2305, 322.7)
Food Grains: (2350, 611)
Food Grains: (2355, 918.45)
Food Grains: (2360, 165.2)
Fruits & Veggies: (545, 125.35)
Fruits & Veggies: (627, 181.83)
Fruits & Veggies: (760, 60.8)
Fruits & Veggies: (826, 346.92)
Fruits & Veggies: (889, 71.12)
Fruits & Veggies: (896, 89.6)
Fruits & Veggies: (927, 157.59)
Fruits & Veggies: (969, 77.52)
Fruits & Veggies: (969, 184.11)
Fruits & Veggies: (983, 186.77)
Fruits & Veggies: (1044, 344.52)
Fruits & Veggies: (1125, 292.5)
Fruits & Veggies: (1154, 69.24)
Fruits & Veggies: (1160, 510.4)
Fruits & Veggies: (1179, 271.17)
Fruits & Veggies: (1243, 174.02)
Fruits & Veggies: (1250, 75)
Fruits & Veggies: (1277, 63.85)
Fruits & Veggies: (1354, 446.82)
Fruits & Veggies: (1415, 509.4)
Fruits & Veggies: (1430, 514.8)
Fruits & Veggies: (1741, 661.58)
Fruits & Veggies: (1751, 280.16)
Fruits & Veggies: (1847, 147.76)
Fruits & Veggies: (2188, 809.56)
Fruits & Veggies: (2257, 270.84)
Fruits & Veggies: (2303, 621.81)
Fruits & Veggies: (2375, 475)
Oil & Masala: (705, 176.25)
Oil & Masala: (989, 69.23)
Oil & Masala: (990, 227.7)
Oil & Masala: (1232, 554.4)
Oil & Masala: (1254, 401.28)
Oil & Masala: (1293, 336.18)
Oil & Masala: (1428, 271.32)
Oil & Masala: (1440, 100.8)
Oil & Masala: (1475, 531)
Oil & Masala: (1551, 573.87)
Oil & Masala: (1575, 78.75)
Oil & Masala: (1689, 337.8)
Oil & Masala: (1774, 620.9)
Oil & Masala: (1873, 674.28)
Oil & Masala: (2129, 659.99)
Oil & Masala: (2155, 581.85)
Oil & Masala: (2163, 670.53)
Oil & Masala: (2483, 223.47)
Snacks: (536, 176.88)
Snacks: (541, 43.28)
Snacks: (567, 175.77)
Snacks: (706, 289.46)
Snacks: (719, 64.71)
Snacks: (721, 100.94)
Snacks: (726, 43.56)
Snacks: (852, 76.68)
Snacks: (1004, 341.36)
Snacks: (1016, 335.28)
Snacks: (1017, 345.78)
Snacks: (1101, 484.44)
Snacks: (1114, 456.74)
Snacks: (1261, 416.13)
Snacks: (1285, 218.45)
Snacks: (1305, 287.1)
Snacks: (1358, 488.88)
Snacks: (1400, 420)
Snacks: (1488, 610.08)
Snacks: (1516, 121.28)
Snacks: (1659, 315.21)
Snacks: (1903, 437.69)
Snacks: (2021, 343.57)
Snacks: (2022, 202.2)
Snacks: (2236, 626.08)
Snacks: (2301, 391.17)
Snacks: (2311, 1039.95)
Snacks: (2420, 242)
Snacks: (2468, 1011.88)
Box Plots One Factor, One Column
Algebra
Biology
History
Physics
55
60
65
70
75
80
85
90
95
100
Class
Score
Test Scores By Class
Score, Algebra group, Minimum: 67
Score, Algebra group, Interquartile range: 13
Score, Algebra group, 1st Quartile: 72
Score, Algebra group, Median: 78
Score, Algebra group, 3rd Quartile: 85
Score, Algebra group, Maximum: 92 End of list order.
Score, Biology group, Minimum: 78
Score, Biology group, Interquartile range: 8
Score, Biology group, 1st Quartile: 83
Score, Biology group, Median: 87
Score, Biology group, 3rd Quartile: 91
Score, Biology group, Maximum: 97 End of list order.
Score, History group, Minimum: 55
Score, History group, Interquartile range: 18
Score, History group, 1st Quartile: 62
Score, History group, Median: 72
Score, History group, 3rd Quartile: 80
Score, History group, Maximum: 90 End of list order.
Score, Physics group, Minimum: 73
Score, Physics group, Interquartile range: 8
Score, Physics group, 1st Quartile: 85
Score, Physics group, Median: 89
Score, Physics group, 3rd Quartile: 93
Score, Physics group, Maximum: 98 End of list order.
Horizontal with Two Columns
Christmas spend in US
Christmas spend in UK
600
650
700
750
800
850
900
950
1000
Christmas spend in US
Christmas spend in UK
Total
Group
Christmas Spending from 1999 - 2021
Christmas spend in US, Christmas spend in US group, Minimum: 616
Christmas spend in US, Christmas spend in US group, Interquartile range: 126
Christmas spend in US, Christmas spend in US group, 1st Quartile: 720
Christmas spend in US, Christmas spend in US group, Median: 770
Christmas spend in US, Christmas spend in US group, 3rd Quartile: 846
Christmas spend in US, Christmas spend in US group, Maximum: 886 End of list order.
Christmas spend in UK, Christmas spend in UK group, Minimum: 742
Christmas spend in UK, Christmas spend in UK group, Interquartile range: 93
Christmas spend in UK, Christmas spend in UK group, 1st Quartile: 830
Christmas spend in UK, Christmas spend in UK group, Median: 867
Christmas spend in UK, Christmas spend in UK group, 3rd Quartile: 923
Christmas spend in UK, Christmas spend in UK group, Maximum: 989 End of list order.
Two Factors, One Column, Trustworthy Colors
Endpoint
Checkout
Login
Search
80
100
120
140
160
180
200
220
240
260
280
300
Europe
US-East
US-West
ResponseTimeMs
Region
API Response Time
Checkout, Europe group, Minimum: 250
Checkout, Europe group, Interquartile range: 25
Checkout, Europe group, 1st Quartile: 265
Checkout, Europe group, Median: 277.5
Checkout, Europe group, 3rd Quartile: 290
Checkout, Europe group, Maximum: 300
Checkout, Europe group, Outlier: 340 End of list order.
Login, Europe group, Minimum: 150
Login, Europe group, Interquartile range: 15
Login, Europe group, 1st Quartile: 160
Login, Europe group, Median: 166.5
Login, Europe group, 3rd Quartile: 175
Login, Europe group, Maximum: 180
Login, Europe group, Outlier: 200 End of list order.
Search, Europe group, Minimum: 200
Search, Europe group, Interquartile range: 20
Search, Europe group, 1st Quartile: 215
Search, Europe group, Median: 222.5
Search, Europe group, 3rd Quartile: 235
Search, Europe group, Maximum: 260 End of list order.
Checkout, US-East group, Minimum: 180
Checkout, US-East group, Interquartile range: 20
Checkout, US-East group, 1st Quartile: 190
Checkout, US-East group, Median: 199
Checkout, US-East group, 3rd Quartile: 210
Checkout, US-East group, Maximum: 240 End of list order.
Login, US-East group, Minimum: 95
Login, US-East group, Interquartile range: 17
Login, US-East group, 1st Quartile: 98
Login, US-East group, Median: 103.5
Login, US-East group, 3rd Quartile: 115
Login, US-East group, Maximum: 140 End of list order.
Search, US-East group, Minimum: 135
Search, US-East group, Interquartile range: 15
Search, US-East group, 1st Quartile: 140
Search, US-East group, Median: 146.5
Search, US-East group, 3rd Quartile: 155
Search, US-East group, Maximum: 160
Search, US-East group, Outlier: 180 End of list order.
Checkout, US-West group, Minimum: 210
Checkout, US-West group, Interquartile range: 20
Checkout, US-West group, 1st Quartile: 225
Checkout, US-West group, Median: 236.5
Checkout, US-West group, 3rd Quartile: 245
Checkout, US-West group, Maximum: 255
Checkout, US-West group, Outlier: 280 End of list order.
Login, US-West group, Minimum: 110
Login, US-West group, Interquartile range: 15
Login, US-West group, 1st Quartile: 120
Login, US-West group, Median: 126.5
Login, US-West group, 3rd Quartile: 135
Login, US-West group, Maximum: 150 End of list order.
Search, US-West group, Minimum: 160
Search, US-West group, Interquartile range: 17
Search, US-West group, 1st Quartile: 168
Search, US-West group, Median: 173.5
Search, US-West group, 3rd Quartile: 185
Search, US-West group, Maximum: 210 End of list order.
Violin Plots Two Columns
Life Span
Minimum Life Span
Maximum Life Span
Minimum Life Span
Maximum Life Span
6
8
10
12
14
16
18
20
Type of extrema
Age
Minimum and Maximum Life Expectancy for Various Cat Breeds
How long do cats live
One Factor, Two Columns
Weight by sex
weight (female)
weight (male)
Casein
Horsebean
Linseed
Meatmeal
Soybean
Sunflower
6
56
106
156
206
256
306
356
406
456
Feed
Weight (g)
Chick weights by feed type
How much do chicks weigh?
One Factor, Four Columns
Temperature Factors
Low Temperature
High Temperature
Humidity Percentage
Wind MPH
Clear
Clouds
Rain
Snow
-5
15
35
55
75
95
115
Main Condition
Temperature
Weather Conditions in the US
In this graph, we can see a mixture of high and low dispersion to showcase the graph density.
Three Columns, Playful Colors
SAT Section
SAT Critical Reading Avg. Score
SAT Math Avg. Score
SAT Writing Avg. Score
290
300
310
320
330
340
350
360
370
380
390
400
410
420
430
440
450
460
470
480
490
500
510
520
530
540
550
560
570
580
590
600
610
620
630
640
650
660
670
680
690
700
710
720
730
740
SAT Critical Reading Avg. Score
SAT Math Avg. Score
SAT Writing Avg. Score
Grade
Score
Test Scores for the SATS at Schools in NYC
How well did individuals do on their reading, math, and writing on the SATS?
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