Overview

Dataset statistics

Number of variables4
Number of observations31
Missing cells6
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.3 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 6 (19.4%) missing valuesMissing
업소명 has unique valuesUnique
업소주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:44:40.338396
Analysis finished2023-12-10 22:44:40.671783
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
유가공업
21 
알가공업
10 

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 21
67.7%
알가공업 10
32.3%

Length

2023-12-11T07:44:40.737682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:44:40.835856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유가공업 21
67.7%
알가공업 10
32.3%

업소명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T07:44:40.987440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.2903226
Min length4

Characters and Unicode

Total characters257
Distinct characters103
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

Unique31 ?
Unique (%)100.0%

Sample

1st row(주)빙그레김해공장
2nd row(주)희창유업
3rd row(주)희창유업제2공장
4th row경민밀크
5th row정동유업농업회사법인주식회사
ValueCountFrequency (%)
주 3
 
7.9%
주)빙그레김해공장 1
 
2.6%
해늘찬치즈 1
 
2.6%
꿈앤들 1
 
2.6%
㈜짜르푸드 1
 
2.6%
회현마을공동체회현연가협동조합 1
 
2.6%
케이씨피드 1
 
2.6%
농업회사법인 1
 
2.6%
대가 1
 
2.6%
농업회사법인(주)새한푸드 1
 
2.6%
Other values (26) 26
68.4%
2023-12-11T07:44:41.255958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 11
 
4.3%
법 10
 
3.9%
농 10
 
3.9%
( 9
 
3.5%
) 9
 
3.5%
업 9
 
3.5%
주 9
 
3.5%
합 8
 
3.1%
조 8
 
3.1%
유 7
 
2.7%
Other values (93) 167
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 224
87.2%
Open Punctuation 9
 
3.5%
Close Punctuation 9
 
3.5%
Space Separator 7
 
2.7%
Other Symbol 3
 
1.2%
Lowercase Letter 3
 
1.2%
Decimal Number 1
 
0.4%
Uppercase Letter 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 11
 
4.9%
법 10
 
4.5%
농 10
 
4.5%
업 9
 
4.0%
주 9
 
4.0%
합 8
 
3.6%
조 8
 
3.6%
유 7
 
3.1%
회 7
 
3.1%
드 6
 
2.7%
Other values (85) 139
62.1%
Lowercase Letter
ValueCountFrequency (%)
u 2
66.7%
l 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 227
88.3%
Common 26
 
10.1%
Latin 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 11
 
4.8%
법 10
 
4.4%
농 10
 
4.4%
업 9
 
4.0%
주 9
 
4.0%
합 8
 
3.5%
조 8
 
3.5%
유 7
 
3.1%
회 7
 
3.1%
드 6
 
2.6%
Other values (86) 142
62.6%
Common
ValueCountFrequency (%)
( 9
34.6%
) 9
34.6%
7
26.9%
2 1
 
3.8%
Latin
ValueCountFrequency (%)
u 2
50.0%
L 1
25.0%
l 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 224
87.2%
ASCII 30
 
11.7%
None 3
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 11
 
4.9%
법 10
 
4.5%
농 10
 
4.5%
업 9
 
4.0%
주 9
 
4.0%
합 8
 
3.6%
조 8
 
3.6%
유 7
 
3.1%
회 7
 
3.1%
드 6
 
2.7%
Other values (85) 139
62.1%
ASCII
ValueCountFrequency (%)
( 9
30.0%
) 9
30.0%
7
23.3%
u 2
 
6.7%
2 1
 
3.3%
L 1
 
3.3%
l 1
 
3.3%
None
ValueCountFrequency (%)
㈜ 3
100.0%

업소주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T07:44:41.476569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length23.290323
Min length19

Characters and Unicode

Total characters722
Distinct characters114
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

Unique31 ?
Unique (%)100.0%

Sample

1st row경상남도 김해시 한림면 고모로 768
2nd row경상남도 양산시 신기로 114 (북정동)
3rd row경상남도 양산시 유산공단7길 45 (유산동)
4th row경상남도 함안군 법수면 강주4길 87
5th row경상남도 고성군 영오면 양산2길 11
ValueCountFrequency (%)
경상남도 31
 
19.3%
양산시 8
 
5.0%
김해시 4
 
2.5%
함안군 3
 
1.9%
창녕군 3
 
1.9%
거창군 3
 
1.9%
1동 2
 
1.2%
계성면 2
 
1.2%
양산대로 2
 
1.2%
22 2
 
1.2%
Other values (98) 101
62.7%
2023-12-11T07:44:41.807786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
131
 
18.1%
남 38
 
5.3%
상 33
 
4.6%
경 31
 
4.3%
도 31
 
4.3%
1 24
 
3.3%
면 22
 
3.0%
로 22
 
3.0%
2 22
 
3.0%
시 17
 
2.4%
Other values (104) 351
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 449
62.2%
Space Separator 131
 
18.1%
Decimal Number 118
 
16.3%
Dash Punctuation 10
 
1.4%
Open Punctuation 5
 
0.7%
Close Punctuation 5
 
0.7%
Other Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 38
 
8.5%
상 33
 
7.3%
경 31
 
6.9%
도 31
 
6.9%
면 22
 
4.9%
로 22
 
4.9%
시 17
 
3.8%
산 17
 
3.8%
양 15
 
3.3%
군 14
 
3.1%
Other values (89) 209
46.5%
Decimal Number
ValueCountFrequency (%)
1 24
20.3%
2 22
18.6%
7 12
10.2%
3 12
10.2%
8 10
8.5%
0 9
 
7.6%
4 8
 
6.8%
9 8
 
6.8%
5 7
 
5.9%
6 6
 
5.1%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 449
62.2%
Common 273
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 38
 
8.5%
상 33
 
7.3%
경 31
 
6.9%
도 31
 
6.9%
면 22
 
4.9%
로 22
 
4.9%
시 17
 
3.8%
산 17
 
3.8%
양 15
 
3.3%
군 14
 
3.1%
Other values (89) 209
46.5%
Common
ValueCountFrequency (%)
131
48.0%
1 24
 
8.8%
2 22
 
8.1%
7 12
 
4.4%
3 12
 
4.4%
- 10
 
3.7%
8 10
 
3.7%
0 9
 
3.3%
4 8
 
2.9%
9 8
 
2.9%
Other values (5) 27
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 449
62.2%
ASCII 273
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
131
48.0%
1 24
 
8.8%
2 22
 
8.1%
7 12
 
4.4%
3 12
 
4.4%
- 10
 
3.7%
8 10
 
3.7%
0 9
 
3.3%
4 8
 
2.9%
9 8
 
2.9%
Other values (5) 27
 
9.9%
Hangul
ValueCountFrequency (%)
남 38
 
8.5%
상 33
 
7.3%
경 31
 
6.9%
도 31
 
6.9%
면 22
 
4.9%
로 22
 
4.9%
시 17
 
3.8%
산 17
 
3.8%
양 15
 
3.3%
군 14
 
3.1%
Other values (89) 209
46.5%

업소전화번호
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing6
Missing (%)19.4%
Memory size380.0 B
2023-12-11T07:44:41.971539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.08
Min length12

Characters and Unicode

Total characters302
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

Unique25 ?
Unique (%)100.0%

Sample

1st row055-340-2311
2nd row055-911-3100
3rd row055-911-3000
4th row055-580-4543
5th row055-370-6066
ValueCountFrequency (%)
055-340-2311 1
 
4.0%
055-745-8939 1
 
4.0%
0507-1372-8310 1
 
4.0%
055-584-5131 1
 
4.0%
055-366-9299 1
 
4.0%
055-365-8885 1
 
4.0%
055-374-3313 1
 
4.0%
055-944-8588 1
 
4.0%
055-521-3663 1
 
4.0%
055-338-9917 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T07:44:42.236690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 67
22.2%
- 50
16.6%
0 41
13.6%
3 27
8.9%
1 24
 
7.9%
8 21
 
7.0%
9 19
 
6.3%
4 16
 
5.3%
6 15
 
5.0%
7 12
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
83.4%
Dash Punctuation 50
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 67
26.6%
0 41
16.3%
3 27
10.7%
1 24
 
9.5%
8 21
 
8.3%
9 19
 
7.5%
4 16
 
6.3%
6 15
 
6.0%
7 12
 
4.8%
2 10
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 302
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 67
22.2%
- 50
16.6%
0 41
13.6%
3 27
8.9%
1 24
 
7.9%
8 21
 
7.0%
9 19
 
6.3%
4 16
 
5.3%
6 15
 
5.0%
7 12
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 67
22.2%
- 50
16.6%
0 41
13.6%
3 27
8.9%
1 24
 
7.9%
8 21
 
7.0%
9 19
 
6.3%
4 16
 
5.3%
6 15
 
5.0%
7 12
 
4.0%

Correlations

2023-12-11T07:44:42.313534image/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

2023-12-11T07:44:40.569339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:44:40.644303image/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)빙그레김해공장경상남도 김해시 한림면 고모로 768055-340-2311
1유가공업(주)희창유업경상남도 양산시 신기로 114 (북정동)055-911-3100
2유가공업(주)희창유업제2공장경상남도 양산시 유산공단7길 45 (유산동)055-911-3000
3유가공업경민밀크경상남도 함안군 법수면 강주4길 87055-580-4543
4유가공업정동유업농업회사법인주식회사경상남도 고성군 영오면 양산2길 11<NA>
5유가공업두빈목장경상남도 창원시 의창구 북면 백월로327번길 22<NA>
6유가공업롯데웰푸드㈜경상남도 양산시 양산대로 1158 (산막동)055-370-6066
7유가공업룰루(Lulu)경상남도 양산시 물금읍 오봉로 90, 1층룰루055-383-6589
8유가공업부산경남우유협동조합경상남도 함안군 칠서면 대부로 528051-634-1237
9유가공업삼민목장경상남도 함양군 유림면 유림북로 98-3055-964-5796
구분업소명업소주소업소전화번호
21알가공업(주) 케이씨피드경상남도 거창군 남상면 홍덕길 22055-945-6511
22알가공업농업회사법인 (주) 대가경상남도 김해시 전하로198번길 35 (전하동)055-338-9917
23알가공업농업회사법인(주)새한푸드경상남도 창녕군 계성면 광계로 393055-521-3663
24알가공업애닭이영농조합법인경상남도 거창군 거창읍 수남로 2035-13, 파파푸드 1동055-944-8588
25알가공업오경식품경상남도 양산시 상북면 충렬로 1023055-374-3313
26알가공업이든자연영농조합법인경상남도 양산시 중뫼길 46-1 (주남동)055-365-8885
27알가공업지이푸드경상남도 양산시 하북면 양산대로 2477-48055-366-9299
28알가공업케이비영농조합법인 지점경상남도 창녕군 장마면 유어장마로 99, 구운계란가공공장<NA>
29알가공업농업회사법인㈜한일이에프경상남도 함안군 산인면 송산로 170055-584-5131
30알가공업우포양계영농조합법인경상남도 창녕군 계성면 계성장마로 198-26055-521-8899