Overview

Dataset statistics

Number of variables5
Number of observations69
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory42.9 B

Variable types

Numeric1
Text4

Alerts

연번 has unique valuesUnique
업체명 has unique valuesUnique
대표자 has unique valuesUnique
주 소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:55:59.181258
Analysis finished2024-03-14 02:55:59.701208
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-03-14T11:55:59.767390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.4
Q118
median35
Q352
95-th percentile65.6
Maximum69
Range68
Interquartile range (IQR)34

Descriptive statistics

Standard deviation20.062403
Coefficient of variation (CV)0.5732115
Kurtosis-1.2
Mean35
Median Absolute Deviation (MAD)17
Skewness0
Sum2415
Variance402.5
MonotonicityStrictly increasing
2024-03-14T11:55:59.891732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
45 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
44 1
 
1.4%
53 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%
60 1
1.4%

업체명
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-03-14T11:56:00.128972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.4347826
Min length3

Characters and Unicode

Total characters582
Distinct characters177
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row고창황토복분자영농조합법인
2nd row사임당푸드영농조합법인
3rd row㈜풍성식품
4th row만선영어조합법인
5th row고창영어조합법인
ValueCountFrequency (%)
영농조합법인 2
 
2.7%
고창황토복분자영농조합법인 1
 
1.3%
동그라미플러스 1
 
1.3%
㈜전북동부권고추 1
 
1.3%
㈜매트로비앤에프 1
 
1.3%
주)축림 1
 
1.3%
㈜다산푸드시스템 1
 
1.3%
깊은숲속행복한식품 1
 
1.3%
주식회사삼화웰빙 1
 
1.3%
㈜석정수 1
 
1.3%
Other values (64) 64
85.3%
2024-03-14T11:56:00.440321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 28
 
4.8%
합 28
 
4.8%
조 27
 
4.6%
인 25
 
4.3%
농 22
 
3.8%
법 21
 
3.6%
㈜ 16
 
2.7%
식 15
 
2.6%
( 14
 
2.4%
품 14
 
2.4%
Other values (167) 372
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 526
90.4%
Other Symbol 16
 
2.7%
Open Punctuation 14
 
2.4%
Close Punctuation 14
 
2.4%
Space Separator 6
 
1.0%
Uppercase Letter 4
 
0.7%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 28
 
5.3%
합 28
 
5.3%
조 27
 
5.1%
인 25
 
4.8%
농 22
 
4.2%
법 21
 
4.0%
식 15
 
2.9%
품 14
 
2.7%
산 11
 
2.1%
주 11
 
2.1%
Other values (157) 324
61.6%
Uppercase Letter
ValueCountFrequency (%)
H 1
25.0%
N 1
25.0%
L 1
25.0%
B 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 542
93.1%
Common 36
 
6.2%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 28
 
5.2%
합 28
 
5.2%
조 27
 
5.0%
인 25
 
4.6%
농 22
 
4.1%
법 21
 
3.9%
㈜ 16
 
3.0%
식 15
 
2.8%
품 14
 
2.6%
산 11
 
2.0%
Other values (158) 335
61.8%
Common
ValueCountFrequency (%)
( 14
38.9%
) 14
38.9%
6
16.7%
2 1
 
2.8%
1 1
 
2.8%
Latin
ValueCountFrequency (%)
H 1
25.0%
N 1
25.0%
L 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 526
90.4%
ASCII 40
 
6.9%
None 16
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 28
 
5.3%
합 28
 
5.3%
조 27
 
5.1%
인 25
 
4.8%
농 22
 
4.2%
법 21
 
4.0%
식 15
 
2.9%
품 14
 
2.7%
산 11
 
2.1%
주 11
 
2.1%
Other values (157) 324
61.6%
None
ValueCountFrequency (%)
㈜ 16
100.0%
ASCII
ValueCountFrequency (%)
( 14
35.0%
) 14
35.0%
6
15.0%
H 1
 
2.5%
N 1
 
2.5%
L 1
 
2.5%
B 1
 
2.5%
2 1
 
2.5%
1 1
 
2.5%

대표자
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-03-14T11:56:00.665248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0724638
Min length3

Characters and Unicode

Total characters212
Distinct characters96
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row서치정
2nd row조해주
3rd row오통열
4th row차호식
5th row이재정
ValueCountFrequency (%)
서치정 1
 
1.4%
서정훈 1
 
1.4%
노정기 1
 
1.4%
정진건 1
 
1.4%
최규완 1
 
1.4%
김인영 1
 
1.4%
정문희 1
 
1.4%
송완식 1
 
1.4%
구형선 1
 
1.4%
황영순 1
 
1.4%
Other values (62) 62
86.1%
2024-03-14T11:56:01.065011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
4.7%
정 9
 
4.2%
이 9
 
4.2%
순 8
 
3.8%
식 7
 
3.3%
영 7
 
3.3%
6
 
2.8%
진 5
 
2.4%
희 5
 
2.4%
임 5
 
2.4%
Other values (86) 141
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
97.2%
Space Separator 6
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
4.9%
정 9
 
4.4%
이 9
 
4.4%
순 8
 
3.9%
식 7
 
3.4%
영 7
 
3.4%
진 5
 
2.4%
희 5
 
2.4%
임 5
 
2.4%
현 4
 
1.9%
Other values (85) 137
66.5%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
97.2%
Common 6
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
4.9%
정 9
 
4.4%
이 9
 
4.4%
순 8
 
3.9%
식 7
 
3.4%
영 7
 
3.4%
진 5
 
2.4%
희 5
 
2.4%
임 5
 
2.4%
현 4
 
1.9%
Other values (85) 137
66.5%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
97.2%
ASCII 6
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
4.9%
정 9
 
4.4%
이 9
 
4.4%
순 8
 
3.9%
식 7
 
3.4%
영 7
 
3.4%
진 5
 
2.4%
희 5
 
2.4%
임 5
 
2.4%
현 4
 
1.9%
Other values (85) 137
66.5%
ASCII
ValueCountFrequency (%)
6
100.0%

상품
Text

Distinct68
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-03-14T11:56:01.288553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.9710145
Min length2

Characters and Unicode

Total characters412
Distinct characters189
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)97.1%

Sample

1st row애드림복분자
2nd row복분자유과
3rd row맛나네김치
4th row복분자 간장게장
5th row풍천장어구이
ValueCountFrequency (%)
고추장 2
 
2.4%
복분자숙성훈제바베큐 1
 
1.2%
편강 1
 
1.2%
고산감잎차 1
 
1.2%
셀록포크 1
 
1.2%
생감자수제비 1
 
1.2%
하이트소주 1
 
1.2%
쌀올리고당 1
 
1.2%
이소말토 1
 
1.2%
유기 1
 
1.2%
Other values (72) 72
86.7%
2024-03-14T11:56:01.621182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 14
 
3.4%
14
 
3.4%
장 12
 
2.9%
리 12
 
2.9%
자 8
 
1.9%
한 8
 
1.9%
기 8
 
1.9%
우 7
 
1.7%
마 6
 
1.5%
복 6
 
1.5%
Other values (179) 317
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 388
94.2%
Space Separator 14
 
3.4%
Decimal Number 5
 
1.2%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 14
 
3.6%
장 12
 
3.1%
리 12
 
3.1%
자 8
 
2.1%
한 8
 
2.1%
기 8
 
2.1%
우 7
 
1.8%
마 6
 
1.5%
복 6
 
1.5%
지 6
 
1.5%
Other values (171) 301
77.6%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
4 1
20.0%
7 1
20.0%
3 1
20.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 388
94.2%
Common 24
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 14
 
3.6%
장 12
 
3.1%
리 12
 
3.1%
자 8
 
2.1%
한 8
 
2.1%
기 8
 
2.1%
우 7
 
1.8%
마 6
 
1.5%
복 6
 
1.5%
지 6
 
1.5%
Other values (171) 301
77.6%
Common
ValueCountFrequency (%)
14
58.3%
0 2
 
8.3%
) 2
 
8.3%
( 2
 
8.3%
, 1
 
4.2%
4 1
 
4.2%
7 1
 
4.2%
3 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 388
94.2%
ASCII 24
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
고 14
 
3.6%
장 12
 
3.1%
리 12
 
3.1%
자 8
 
2.1%
한 8
 
2.1%
기 8
 
2.1%
우 7
 
1.8%
마 6
 
1.5%
복 6
 
1.5%
지 6
 
1.5%
Other values (171) 301
77.6%
ASCII
ValueCountFrequency (%)
14
58.3%
0 2
 
8.3%
) 2
 
8.3%
( 2
 
8.3%
, 1
 
4.2%
4 1
 
4.2%
7 1
 
4.2%
3 1
 
4.2%

주 소
Text

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-03-14T11:56:01.909957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length15.971014
Min length10

Characters and Unicode

Total characters1102
Distinct characters137
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)100.0%

Sample

1st row고창군 고창읍 주곡리 691-2
2nd row고창군 고창읍 태봉로 551
3rd row고창군 대산면 광대리 321
4th row고창군 상하면 자룡리 433
5th row고창군 성내면 신성리 996
ValueCountFrequency (%)
고창군 8
 
3.0%
익산시 8
 
3.0%
완주군 8
 
3.0%
전주 8
 
3.0%
부안군 6
 
2.3%
남원시 6
 
2.3%
군산시 5
 
1.9%
임실군 5
 
1.9%
덕진구 4
 
1.5%
고산면 4
 
1.5%
Other values (179) 201
76.4%
2024-03-14T11:56:02.393358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
 
17.7%
1 68
 
6.2%
군 40
 
3.6%
산 38
 
3.4%
면 37
 
3.4%
- 35
 
3.2%
리 31
 
2.8%
2 30
 
2.7%
3 27
 
2.5%
시 27
 
2.5%
Other values (127) 574
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 617
56.0%
Decimal Number 251
22.8%
Space Separator 195
 
17.7%
Dash Punctuation 35
 
3.2%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 40
 
6.5%
산 38
 
6.2%
면 37
 
6.0%
리 31
 
5.0%
시 27
 
4.4%
주 22
 
3.6%
로 18
 
2.9%
읍 18
 
2.9%
고 17
 
2.8%
창 16
 
2.6%
Other values (113) 353
57.2%
Decimal Number
ValueCountFrequency (%)
1 68
27.1%
2 30
12.0%
3 27
 
10.8%
5 26
 
10.4%
7 23
 
9.2%
6 19
 
7.6%
4 18
 
7.2%
9 18
 
7.2%
8 13
 
5.2%
0 9
 
3.6%
Space Separator
ValueCountFrequency (%)
195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 617
56.0%
Common 485
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 40
 
6.5%
산 38
 
6.2%
면 37
 
6.0%
리 31
 
5.0%
시 27
 
4.4%
주 22
 
3.6%
로 18
 
2.9%
읍 18
 
2.9%
고 17
 
2.8%
창 16
 
2.6%
Other values (113) 353
57.2%
Common
ValueCountFrequency (%)
195
40.2%
1 68
 
14.0%
- 35
 
7.2%
2 30
 
6.2%
3 27
 
5.6%
5 26
 
5.4%
7 23
 
4.7%
6 19
 
3.9%
4 18
 
3.7%
9 18
 
3.7%
Other values (4) 26
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 617
56.0%
ASCII 485
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
40.2%
1 68
 
14.0%
- 35
 
7.2%
2 30
 
6.2%
3 27
 
5.6%
5 26
 
5.4%
7 23
 
4.7%
6 19
 
3.9%
4 18
 
3.7%
9 18
 
3.7%
Other values (4) 26
 
5.4%
Hangul
ValueCountFrequency (%)
군 40
 
6.5%
산 38
 
6.2%
면 37
 
6.0%
리 31
 
5.0%
시 27
 
4.4%
주 22
 
3.6%
로 18
 
2.9%
읍 18
 
2.9%
고 17
 
2.8%
창 16
 
2.6%
Other values (113) 353
57.2%

Interactions

2024-03-14T11:55:59.495694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:56:02.473649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명대표자상품주 소
연번1.0001.0001.0000.9391.000
업체명1.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.000
상품0.9391.0001.0001.0001.000
주 소1.0001.0001.0001.0001.000

Missing values

2024-03-14T11:55:59.588156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:55:59.668657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번업체명대표자상품주 소
01고창황토복분자영농조합법인서치정애드림복분자고창군 고창읍 주곡리 691-2
12사임당푸드영농조합법인조해주복분자유과고창군 고창읍 태봉로 551
23㈜풍성식품오통열맛나네김치고창군 대산면 광대리 321
34만선영어조합법인차호식복분자 간장게장고창군 상하면 자룡리 433
45고창영어조합법인이재정풍천장어구이고창군 성내면 신성리 996
56참바다영어조합법인김종학참바다 복분자풍천장어고창군 신림면 가평로 31
67배상면주가 고창LB안재식복분자음고창군 아산면 계산리837 병암길 48
78청맥㈜김재주흑맥고창군 아산면 하갑리678농공단지길 25-10
89㈜아리울21식품서혁원해누리 재래김군산시 미룡동 263-1
910㈜나인팜스최항석새만금청실한돈군산시 서수면 남산로 284
연번업체명대표자상품주 소
5960(유)맛디자인한경미고들빼기김치전주 완산구 대성동 224-1
6061두메산골영농조합유현주조해랑훈제오리전주 완산구 삼천동 3가 310
6162NH참예우조합공동사업법인김갑균한우전주 완산구 효자로 170
6263전주대궁중 약고추장고 건고추장전주 완산효자동1200
6364㈜대한특수한지이봉진아보닥기름먹는한지전주시 덕진구 팔복동1가 219-1
6465단풍미인한우영농조합법인김준영단풍미인한우정읍시 북면 정읍북로 796
6566(영)금계식품임장옥샘고을 감식초정읍시 산외면 화죽리 716-5
6667농업회사법인 유성농산(주)이춘길파프리카 훈제오리정읍시 신태인읍 신용리 1719
6768영푸드영농조합법인이영숙복분자숙성훈제바베큐진안군 진안읍 거북바위로1길 11
6869무진장축산업협동조합권광열장수한우진안군 진안읍 중앙로 73