Overview

Dataset statistics

Number of variables4
Number of observations29
Missing cells13
Missing cells (%)11.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory36.6 B

Variable types

Categorical1
Text3

Dataset

Description경상남도 소재한 축산가공업 현황정보 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3083318

Alerts

업소전화번호 has 13 (44.8%) missing valuesMissing
업소명 has unique valuesUnique
업소주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:44:46.328161
Analysis finished2023-12-10 22:44:46.649467
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
유가공업
20 
알가공업
9 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유가공업
2nd row유가공업
3rd row유가공업
4th row유가공업
5th row유가공업

Common Values

ValueCountFrequency (%)
유가공업 20
69.0%
알가공업 9
31.0%

Length

2023-12-11T07:44:46.700381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:44:46.771890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유가공업 20
69.0%
알가공업 9
31.0%

업소명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T07:44:46.922296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.0689655
Min length3

Characters and Unicode

Total characters205
Distinct characters89
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row(주)동진유업
2nd row(주)빙그레김해공장
3rd row(주)한국야쿠르트양산공장
4th row(주)희창유업
5th row(주)희창유업제2공장
ValueCountFrequency (%)
주 2
 
5.7%
영농조합법인 2
 
5.7%
주)청하 1
 
2.9%
선인 1
 
2.9%
태원목장 1
 
2.9%
해늘찬치즈 1
 
2.9%
케이씨피드 1
 
2.9%
주)농업회사법인 1
 
2.9%
오케이 1
 
2.9%
주)동진유업 1
 
2.9%
Other values (23) 23
65.7%
2023-12-11T07:44:47.200527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 13
 
6.3%
) 11
 
5.4%
( 10
 
4.9%
유 8
 
3.9%
업 8
 
3.9%
장 7
 
3.4%
6
 
2.9%
인 6
 
2.9%
법 5
 
2.4%
농 5
 
2.4%
Other values (79) 126
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
85.9%
Close Punctuation 11
 
5.4%
Open Punctuation 10
 
4.9%
Space Separator 6
 
2.9%
Uppercase Letter 1
 
0.5%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 13
 
7.4%
유 8
 
4.5%
업 8
 
4.5%
장 7
 
4.0%
인 6
 
3.4%
법 5
 
2.8%
농 5
 
2.8%
공 4
 
2.3%
이 4
 
2.3%
드 4
 
2.3%
Other values (74) 112
63.6%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
84.9%
Common 28
 
13.7%
Han 2
 
1.0%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 13
 
7.5%
유 8
 
4.6%
업 8
 
4.6%
장 7
 
4.0%
인 6
 
3.4%
법 5
 
2.9%
농 5
 
2.9%
공 4
 
2.3%
이 4
 
2.3%
드 4
 
2.3%
Other values (72) 110
63.2%
Common
ValueCountFrequency (%)
) 11
39.3%
( 10
35.7%
6
21.4%
2 1
 
3.6%
Han
ValueCountFrequency (%)
大 1
50.0%
家 1
50.0%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
84.9%
ASCII 29
 
14.1%
CJK 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 13
 
7.5%
유 8
 
4.6%
업 8
 
4.6%
장 7
 
4.0%
인 6
 
3.4%
법 5
 
2.9%
농 5
 
2.9%
공 4
 
2.3%
이 4
 
2.3%
드 4
 
2.3%
Other values (72) 110
63.2%
ASCII
ValueCountFrequency (%)
) 11
37.9%
( 10
34.5%
6
20.7%
G 1
 
3.4%
2 1
 
3.4%
CJK
ValueCountFrequency (%)
大 1
50.0%
家 1
50.0%

업소주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T07:44:47.448024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.965517
Min length17

Characters and Unicode

Total characters637
Distinct characters96
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

Unique29 ?
Unique (%)100.0%

Sample

1st row경상남도 김해시 생림면 생림대로 626
2nd row경상남도 김해시 한림면 고모로 768
3rd row경상남도 양산시 충렬로 289 (유산동)
4th row경상남도 양산시 신기로 114 (북정동)
5th row경상남도 양산시 유산공단7길 45 (유산동)
ValueCountFrequency (%)
경상남도 29
 
19.9%
양산시 11
 
7.5%
김해시 4
 
2.7%
유산동 2
 
1.4%
거창군 2
 
1.4%
양산대로 2
 
1.4%
22 2
 
1.4%
창원시 2
 
1.4%
함안군 2
 
1.4%
사천시 2
 
1.4%
Other values (85) 88
60.3%
2023-12-11T07:44:47.934590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
18.4%
남 36
 
5.7%
상 32
 
5.0%
경 29
 
4.6%
도 29
 
4.6%
시 20
 
3.1%
2 20
 
3.1%
로 19
 
3.0%
산 19
 
3.0%
면 18
 
2.8%
Other values (86) 298
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 398
62.5%
Space Separator 117
 
18.4%
Decimal Number 100
 
15.7%
Dash Punctuation 8
 
1.3%
Open Punctuation 7
 
1.1%
Close Punctuation 7
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 36
 
9.0%
상 32
 
8.0%
경 29
 
7.3%
도 29
 
7.3%
시 20
 
5.0%
로 19
 
4.8%
산 19
 
4.8%
면 18
 
4.5%
양 17
 
4.3%
동 13
 
3.3%
Other values (72) 166
41.7%
Decimal Number
ValueCountFrequency (%)
2 20
20.0%
1 17
17.0%
7 12
12.0%
3 10
10.0%
4 9
9.0%
8 9
9.0%
5 7
 
7.0%
9 7
 
7.0%
6 6
 
6.0%
0 3
 
3.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 398
62.5%
Common 239
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 36
 
9.0%
상 32
 
8.0%
경 29
 
7.3%
도 29
 
7.3%
시 20
 
5.0%
로 19
 
4.8%
산 19
 
4.8%
면 18
 
4.5%
양 17
 
4.3%
동 13
 
3.3%
Other values (72) 166
41.7%
Common
ValueCountFrequency (%)
117
49.0%
2 20
 
8.4%
1 17
 
7.1%
7 12
 
5.0%
3 10
 
4.2%
4 9
 
3.8%
8 9
 
3.8%
- 8
 
3.3%
( 7
 
2.9%
5 7
 
2.9%
Other values (4) 23
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 398
62.5%
ASCII 239
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
49.0%
2 20
 
8.4%
1 17
 
7.1%
7 12
 
5.0%
3 10
 
4.2%
4 9
 
3.8%
8 9
 
3.8%
- 8
 
3.3%
( 7
 
2.9%
5 7
 
2.9%
Other values (4) 23
 
9.6%
Hangul
ValueCountFrequency (%)
남 36
 
9.0%
상 32
 
8.0%
경 29
 
7.3%
도 29
 
7.3%
시 20
 
5.0%
로 19
 
4.8%
산 19
 
4.8%
면 18
 
4.5%
양 17
 
4.3%
동 13
 
3.3%
Other values (72) 166
41.7%

업소전화번호
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing13
Missing (%)44.8%
Memory size364.0 B
2023-12-11T07:44:48.113537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.0625
Min length12

Characters and Unicode

Total characters193
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st row055-340-2311
2nd row055-385-4181
3rd row055-911-3000
4th row055-854-6682
5th row051-634-1237
ValueCountFrequency (%)
055-340-2311 1
 
6.2%
055-385-4181 1
 
6.2%
055-911-3000 1
 
6.2%
055-854-6682 1
 
6.2%
051-634-1237 1
 
6.2%
055-964-5796 1
 
6.2%
055-852-5511 1
 
6.2%
055-940-1234 1
 
6.2%
055-362-0990 1
 
6.2%
055-391-7570 1
 
6.2%
Other values (6) 6
37.5%
2023-12-11T07:44:48.382425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 42
21.8%
- 32
16.6%
0 25
13.0%
1 18
9.3%
3 16
 
8.3%
4 12
 
6.2%
6 11
 
5.7%
8 10
 
5.2%
9 10
 
5.2%
7 9
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 161
83.4%
Dash Punctuation 32
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 42
26.1%
0 25
15.5%
1 18
11.2%
3 16
 
9.9%
4 12
 
7.5%
6 11
 
6.8%
8 10
 
6.2%
9 10
 
6.2%
7 9
 
5.6%
2 8
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 193
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 42
21.8%
- 32
16.6%
0 25
13.0%
1 18
9.3%
3 16
 
8.3%
4 12
 
6.2%
6 11
 
5.7%
8 10
 
5.2%
9 10
 
5.2%
7 9
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 193
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 42
21.8%
- 32
16.6%
0 25
13.0%
1 18
9.3%
3 16
 
8.3%
4 12
 
6.2%
6 11
 
5.7%
8 10
 
5.2%
9 10
 
5.2%
7 9
 
4.7%

Correlations

2023-12-11T07:44:48.460400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업소명업소주소업소전화번호
구분1.0001.0001.0001.000
업소명1.0001.0001.0001.000
업소주소1.0001.0001.0001.000
업소전화번호1.0001.0001.0001.000

Missing values

2023-12-11T07:44:46.545503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:44:46.621954image/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

구분업소명업소주소업소전화번호
0유가공업(주)동진유업경상남도 김해시 생림면 생림대로 626<NA>
1유가공업(주)빙그레김해공장경상남도 김해시 한림면 고모로 768055-340-2311
2유가공업(주)한국야쿠르트양산공장경상남도 양산시 충렬로 289 (유산동)055-385-4181
3유가공업(주)희창유업경상남도 양산시 신기로 114 (북정동)<NA>
4유가공업(주)희창유업제2공장경상남도 양산시 유산공단7길 45 (유산동)055-911-3000
5유가공업가나안 영농조합법인경상남도 사천시 곤양면 고동포로 267055-854-6682
6유가공업경민밀크경상남도 함안군 법수면 강주4길 87<NA>
7유가공업두빈목장경상남도 창원시 의창구 북면 백월로327번길 22<NA>
8유가공업롯데제과경상남도 양산시 양산대로 1158 (산막동)<NA>
9유가공업부산우유협동조합경상남도 함안군 칠서면 대부로 528051-634-1237
구분업소명업소주소업소전화번호
19유가공업해늘찬치즈경상남도 남해군 남면 남서대로 684-4<NA>
20알가공업(주) 케이씨피드경상남도 거창군 남상면 홍덕길 22055-945-6511
21알가공업(주)농업회사법인 오케이경상남도 양산시 삼계동1길 54055-374-6117
22알가공업(주)청하경상남도 양산시 장흥길 99 (평산동)070-8274-5434
23알가공업G푸드경상남도 김해시 진례면 고모로 25<NA>
24알가공업농업회사법인(주)새한푸드경상남도 창녕군 계성면 광계로 393055-521-3663
25알가공업오경식품경상남도 양산시 상북면 충렬로 1023<NA>
26알가공업주식회사 제이웰경상남도 양산시 중뫼길 46-1 (주남동)055-365-8885
27알가공업주식회사大家경상남도 김해시 전하로198번길 35 (전하동)055-338-9917
28알가공업지이푸드경상남도 양산시 하북면 양산대로 2477-48<NA>