Overview

Dataset statistics

Number of variables5
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory41.9 B

Variable types

Unsupported1
Text4

Alerts

Unnamed: 1 has unique valuesUnique
Unnamed: 2 has unique valuesUnique
Unnamed: 4 has unique valuesUnique
Buy전북상품 현황 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 03:16:58.188122
Analysis finished2024-03-14 03:16:58.634213
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Buy전북상품 현황
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size692.0 B

Unnamed: 1
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-03-14T12:16:58.767176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.3571429
Min length3

Characters and Unicode

Total characters585
Distinct characters179
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)100.0%

Sample

1st row업체명
2nd row고창황토복분자영농조합법인
3rd row사임당푸드영농조합법인
4th row㈜풍성식품
5th row만선영어조합법인
ValueCountFrequency (%)
영농조합법인 2
 
2.6%
업체명 1
 
1.3%
영)아리랑 1
 
1.3%
㈜매트로비앤에프 1
 
1.3%
주)축림 1
 
1.3%
㈜다산푸드시스템 1
 
1.3%
깊은숲속행복한식품 1
 
1.3%
주식회사삼화웰빙 1
 
1.3%
동그라미플러스 1
 
1.3%
영)영산식품 1
 
1.3%
Other values (65) 65
85.5%
2024-03-14T12:16:59.089468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
합 28
 
4.8%
영 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 (169) 375
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 529
90.4%
Other Symbol 16
 
2.7%
Close Punctuation 14
 
2.4%
Open Punctuation 14
 
2.4%
Uppercase Letter 4
 
0.7%
Control 3
 
0.5%
Space Separator 3
 
0.5%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
합 28
 
5.3%
영 28
 
5.3%
조 27
 
5.1%
인 25
 
4.7%
농 22
 
4.2%
법 21
 
4.0%
식 15
 
2.8%
품 14
 
2.6%
산 11
 
2.1%
주 11
 
2.1%
Other values (158) 327
61.8%
Uppercase Letter
ValueCountFrequency (%)
H 1
25.0%
N 1
25.0%
B 1
25.0%
L 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 545
93.2%
Common 36
 
6.2%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
합 28
 
5.1%
영 28
 
5.1%
조 27
 
5.0%
인 25
 
4.6%
농 22
 
4.0%
법 21
 
3.9%
㈜ 16
 
2.9%
식 15
 
2.8%
품 14
 
2.6%
산 11
 
2.0%
Other values (159) 338
62.0%
Common
ValueCountFrequency (%)
) 14
38.9%
( 14
38.9%
3
 
8.3%
3
 
8.3%
2 1
 
2.8%
1 1
 
2.8%
Latin
ValueCountFrequency (%)
H 1
25.0%
N 1
25.0%
B 1
25.0%
L 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 529
90.4%
ASCII 40
 
6.8%
None 16
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
합 28
 
5.3%
영 28
 
5.3%
조 27
 
5.1%
인 25
 
4.7%
농 22
 
4.2%
법 21
 
4.0%
식 15
 
2.8%
품 14
 
2.6%
산 11
 
2.1%
주 11
 
2.1%
Other values (158) 327
61.8%
None
ValueCountFrequency (%)
㈜ 16
100.0%
ASCII
ValueCountFrequency (%)
) 14
35.0%
( 14
35.0%
3
 
7.5%
3
 
7.5%
H 1
 
2.5%
N 1
 
2.5%
2 1
 
2.5%
1 1
 
2.5%
B 1
 
2.5%
L 1
 
2.5%

Unnamed: 2
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-03-14T12:16:59.347162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0714286
Min length3

Characters and Unicode

Total characters215
Distinct characters98
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

Unique70 ?
Unique (%)100.0%

Sample

1st row대표자
2nd row서치정
3rd row조해주
4th row오통열
5th row차호식
ValueCountFrequency (%)
대표자 1
 
1.4%
최승일 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%
박인원 1
 
1.4%
김법중 1
 
1.4%
Other values (63) 63
86.3%
2024-03-14T12:16:59.684168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 10
 
4.7%
이 9
 
4.2%
정 9
 
4.2%
순 8
 
3.7%
영 7
 
3.3%
식 7
 
3.3%
6
 
2.8%
임 5
 
2.3%
진 5
 
2.3%
희 5
 
2.3%
Other values (88) 144
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
97.2%
Space Separator 6
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
 
4.8%
이 9
 
4.3%
정 9
 
4.3%
순 8
 
3.8%
영 7
 
3.3%
식 7
 
3.3%
임 5
 
2.4%
진 5
 
2.4%
희 5
 
2.4%
인 4
 
1.9%
Other values (87) 140
67.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
97.2%
Common 6
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
 
4.8%
이 9
 
4.3%
정 9
 
4.3%
순 8
 
3.8%
영 7
 
3.3%
식 7
 
3.3%
임 5
 
2.4%
진 5
 
2.4%
희 5
 
2.4%
인 4
 
1.9%
Other values (87) 140
67.0%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
97.2%
ASCII 6
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 10
 
4.8%
이 9
 
4.3%
정 9
 
4.3%
순 8
 
3.8%
영 7
 
3.3%
식 7
 
3.3%
임 5
 
2.4%
진 5
 
2.4%
희 5
 
2.4%
인 4
 
1.9%
Other values (87) 140
67.0%
ASCII
ValueCountFrequency (%)
6
100.0%

Unnamed: 3
Text

Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-03-14T12:16:59.939108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.9142857
Min length2

Characters and Unicode

Total characters414
Distinct characters192
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)97.1%

Sample

1st row상품
2nd row애드림복분자
3rd row복분자유과
4th row맛나네김치
5th row복분자 간장게장
ValueCountFrequency (%)
고추장 2
 
2.4%
곶감 1
 
1.2%
순수해(돼지고기 1
 
1.2%
4남매발아현미된장 1
 
1.2%
국산고춧가루 1
 
1.2%
단호박쌀과자 1
 
1.2%
가시오가피양파즙 1
 
1.2%
3070 1
 
1.2%
한우육포 1
 
1.2%
한들포기김치 1
 
1.2%
Other values (73) 73
86.9%
2024-03-14T12:17:00.316846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 14
 
3.4%
장 12
 
2.9%
리 12
 
2.9%
10
 
2.4%
한 8
 
1.9%
기 8
 
1.9%
자 8
 
1.9%
우 7
 
1.7%
치 6
 
1.4%
마 6
 
1.4%
Other values (182) 323
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 390
94.2%
Space Separator 10
 
2.4%
Decimal Number 5
 
1.2%
Control 4
 
1.0%
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%
한 8
 
2.1%
기 8
 
2.1%
자 8
 
2.1%
우 7
 
1.8%
치 6
 
1.5%
마 6
 
1.5%
지 6
 
1.5%
Other values (173) 303
77.7%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
7 1
20.0%
3 1
20.0%
4 1
20.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Control
ValueCountFrequency (%)
4
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 390
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%
한 8
 
2.1%
기 8
 
2.1%
자 8
 
2.1%
우 7
 
1.8%
치 6
 
1.5%
마 6
 
1.5%
지 6
 
1.5%
Other values (173) 303
77.7%
Common
ValueCountFrequency (%)
10
41.7%
4
 
16.7%
) 2
 
8.3%
( 2
 
8.3%
0 2
 
8.3%
7 1
 
4.2%
, 1
 
4.2%
3 1
 
4.2%
4 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 390
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%
한 8
 
2.1%
기 8
 
2.1%
자 8
 
2.1%
우 7
 
1.8%
치 6
 
1.5%
마 6
 
1.5%
지 6
 
1.5%
Other values (173) 303
77.7%
ASCII
ValueCountFrequency (%)
10
41.7%
4
 
16.7%
) 2
 
8.3%
( 2
 
8.3%
0 2
 
8.3%
7 1
 
4.2%
, 1
 
4.2%
3 1
 
4.2%
4 1
 
4.2%

Unnamed: 4
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2024-03-14T12:17:00.594901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length15.857143
Min length5

Characters and Unicode

Total characters1110
Distinct characters138
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)100.0%

Sample

1st row주 소
2nd row고창군 고창읍 주곡리 691-2
3rd row고창군 고창읍 태봉로 551
4th row고창군 대산면 광대리 321
5th row고창군 상하면 자룡리 433
ValueCountFrequency (%)
완주군 8
 
3.0%
고창군 8
 
3.0%
익산시 8
 
3.0%
전주 8
 
3.0%
부안군 6
 
2.3%
남원시 6
 
2.3%
군산시 5
 
1.9%
임실군 5
 
1.9%
고산면 4
 
1.5%
덕진구 4
 
1.5%
Other values (182) 204
76.7%
2024-03-14T12:17:00.963342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
17.8%
1 68
 
6.1%
군 40
 
3.6%
산 38
 
3.4%
면 37
 
3.3%
- 35
 
3.2%
리 31
 
2.8%
2 30
 
2.7%
3 27
 
2.4%
시 27
 
2.4%
Other values (128) 579
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 619
55.8%
Decimal Number 251
22.6%
Space Separator 198
 
17.8%
Dash Punctuation 35
 
3.2%
Control 3
 
0.3%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 40
 
6.5%
산 38
 
6.1%
면 37
 
6.0%
리 31
 
5.0%
시 27
 
4.4%
주 23
 
3.7%
읍 18
 
2.9%
로 18
 
2.9%
고 17
 
2.7%
창 16
 
2.6%
Other values (113) 354
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%
9 18
 
7.2%
4 18
 
7.2%
8 13
 
5.2%
0 9
 
3.6%
Space Separator
ValueCountFrequency (%)
198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 619
55.8%
Common 491
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 40
 
6.5%
산 38
 
6.1%
면 37
 
6.0%
리 31
 
5.0%
시 27
 
4.4%
주 23
 
3.7%
읍 18
 
2.9%
로 18
 
2.9%
고 17
 
2.7%
창 16
 
2.6%
Other values (113) 354
57.2%
Common
ValueCountFrequency (%)
198
40.3%
1 68
 
13.8%
- 35
 
7.1%
2 30
 
6.1%
3 27
 
5.5%
5 26
 
5.3%
7 23
 
4.7%
6 19
 
3.9%
9 18
 
3.7%
4 18
 
3.7%
Other values (5) 29
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 619
55.8%
ASCII 491
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
40.3%
1 68
 
13.8%
- 35
 
7.1%
2 30
 
6.1%
3 27
 
5.5%
5 26
 
5.3%
7 23
 
4.7%
6 19
 
3.9%
9 18
 
3.7%
4 18
 
3.7%
Other values (5) 29
 
5.9%
Hangul
ValueCountFrequency (%)
군 40
 
6.5%
산 38
 
6.1%
면 37
 
6.0%
리 31
 
5.0%
시 27
 
4.4%
주 23
 
3.7%
읍 18
 
2.9%
로 18
 
2.9%
고 17
 
2.7%
창 16
 
2.6%
Other values (113) 354
57.2%

Correlations

2024-03-14T12:17:01.038573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
Unnamed: 11.0001.0001.0001.000
Unnamed: 21.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.000
Unnamed: 41.0001.0001.0001.000

Missing values

2024-03-14T12:16:58.525918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:16:58.603339image/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

Buy전북상품 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
0연번업체명대표자상품주 소
11고창황토복분자영농조합법인서치정애드림복분자고창군 고창읍 주곡리 691-2
22사임당푸드영농조합법인조해주복분자유과고창군 고창읍 태봉로 551
33㈜풍성식품오통열맛나네김치고창군 대산면 광대리 321
44만선영어조합법인차호식복분자 간장게장고창군 상하면 자룡리 433
55고창영어조합법인이재정풍천장어구이고창군 성내면 신성리 996
66참바다영어조합법인김종학참바다 복분자풍천장어고창군 신림면 가평로 31
77배상면주가 고창LB안재식복분자음고창군 아산면 계산리837 병암길 48
88청맥㈜김재주흑맥고창군 아산면 하갑리678농공단지길 25-10
99㈜아리울21식품서혁원해누리 재래김군산시 미룡동 263-1
Buy전북상품 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
6060(유)맛디자인한경미고들빼기김치전주 완산구 대성동 224-1
6161두메산골영농조합유현주조해랑훈제오리전주 완산구 삼천동 3가 310
6262NH참예우조합공동사업법인김갑균한우전주 완산구 효자로 170
6363전주대궁중 약고추장고 건고추장전주 완산효자동1200
6464㈜대한특수한지이봉진아보닥기름먹는한지전주시 덕진구 팔복동1가 219-1
6565단풍미인한우영농조합법인김준영단풍미인한우정읍시 북면 정읍북로 796
6666(영)금계식품임장옥샘고을 감식초정읍시 산외면 화죽리 716-5
6767농업회사법인 유성농산(주)이춘길파프리카 훈제오리정읍시 신태인읍 신용리 1719
6868영푸드영농조합법인이영숙복분자숙성훈제바베큐진안군 진안읍 거북바위로1길 11
6969무진장축산업협동조합권광열장수한우진안군 진안읍 중앙로 73