Overview

Brought to you by YData

Dataset statistics

Number of variables6
Number of observations865
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory190.2 KiB
Average record size in memory225.2 B

Variable types

Text3
Numeric3

Alerts

Code has unique valuesUnique
Name has unique valuesUnique
R has 81 (9.4%) zerosZeros
G has 58 (6.7%) zerosZeros
B has 80 (9.2%) zerosZeros

Reproduction

Analysis started2024-07-15 20:43:58.917066
Analysis finished2024-07-15 20:44:00.514207
Duration1.6 second
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Code
Text

UNIQUE 

Distinct865
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size57.9 KiB
2024-07-15T20:44:00.701802image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length39
Median length26
Mean length11.375723
Min length3

Characters and Unicode

Total characters9840
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique865 ?
Unique (%)100.0%

Sample

1st rowair_force_blue_raf
2nd rowair_force_blue_usaf
3rd rowair_superiority_blue
4th rowalabama_crimson
5th rowalice_blue
ValueCountFrequency (%)
air_force_blue_raf 1
 
0.1%
amethyst 1
 
0.1%
arsenic 1
 
0.1%
air_superiority_blue 1
 
0.1%
alabama_crimson 1
 
0.1%
alice_blue 1
 
0.1%
alizarin_crimson 1
 
0.1%
alloy_orange 1
 
0.1%
almond 1
 
0.1%
amaranth 1
 
0.1%
Other values (855) 855
98.8%
2024-07-15T20:44:01.195153image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1201
 
12.2%
_ 799
 
8.1%
r 796
 
8.1%
a 788
 
8.0%
l 695
 
7.1%
n 626
 
6.4%
i 558
 
5.7%
o 519
 
5.3%
t 396
 
4.0%
u 373
 
3.8%
Other values (21) 3089
31.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9840
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1201
 
12.2%
_ 799
 
8.1%
r 796
 
8.1%
a 788
 
8.0%
l 695
 
7.1%
n 626
 
6.4%
i 558
 
5.7%
o 519
 
5.3%
t 396
 
4.0%
u 373
 
3.8%
Other values (21) 3089
31.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9840
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1201
 
12.2%
_ 799
 
8.1%
r 796
 
8.1%
a 788
 
8.0%
l 695
 
7.1%
n 626
 
6.4%
i 558
 
5.7%
o 519
 
5.3%
t 396
 
4.0%
u 373
 
3.8%
Other values (21) 3089
31.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9840
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1201
 
12.2%
_ 799
 
8.1%
r 796
 
8.1%
a 788
 
8.0%
l 695
 
7.1%
n 626
 
6.4%
i 558
 
5.7%
o 519
 
5.3%
t 396
 
4.0%
u 373
 
3.8%
Other values (21) 3089
31.4%

Name
Text

UNIQUE 

Distinct865
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size58.3 KiB
2024-07-15T20:44:01.618955image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Length

Max length41
Median length28
Mean length11.591908
Min length3

Characters and Unicode

Total characters10027
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique865 ?
Unique (%)100.0%

Sample

1st rowAir Force Blue (Raf)
2nd rowAir Force Blue (Usaf)
3rd rowAir Superiority Blue
4th rowAlabama Crimson
5th rowAlice Blue
ValueCountFrequency (%)
blue 98
 
6.0%
green 78
 
4.8%
pink 47
 
2.9%
dark 45
 
2.8%
red 42
 
2.6%
yellow 31
 
1.9%
rose 28
 
1.7%
light 25
 
1.5%
lavender 23
 
1.4%
orange 23
 
1.4%
Other values (606) 1190
73.0%
2024-07-15T20:44:02.155656image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1168
 
11.6%
765
 
7.6%
a 737
 
7.4%
r 661
 
6.6%
l 611
 
6.1%
n 609
 
6.1%
i 536
 
5.3%
o 463
 
4.6%
u 345
 
3.4%
t 328
 
3.3%
Other values (59) 3804
37.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10027
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1168
 
11.6%
765
 
7.6%
a 737
 
7.4%
r 661
 
6.6%
l 611
 
6.1%
n 609
 
6.1%
i 536
 
5.3%
o 463
 
4.6%
u 345
 
3.4%
t 328
 
3.3%
Other values (59) 3804
37.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10027
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1168
 
11.6%
765
 
7.6%
a 737
 
7.4%
r 661
 
6.6%
l 611
 
6.1%
n 609
 
6.1%
i 536
 
5.3%
o 463
 
4.6%
u 345
 
3.4%
t 328
 
3.3%
Other values (59) 3804
37.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10027
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1168
 
11.6%
765
 
7.6%
a 737
 
7.4%
r 661
 
6.6%
l 611
 
6.1%
n 609
 
6.1%
i 536
 
5.3%
o 463
 
4.6%
u 345
 
3.4%
t 328
 
3.3%
Other values (59) 3804
37.9%

Hex
Text

Distinct765
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size54.0 KiB
2024-07-15T20:44:02.487772image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/