Overview

Dataset statistics

Number of variables4
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.3 B

Variable types

Text4

Dataset

Description전국에 수출입식물방제업 신고증을 받은 업체정보를 제공하는 서비스
Author농림축산검역본부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220214000000001887

Alerts

업체명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:12:06.324806
Analysis finished2023-12-11 03:12:06.775042
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T12:12:06.921669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length8.5483871
Min length4

Characters and Unicode

Total characters265
Distinct characters73
Distinct categories5 ?
Distinct scripts3 ?
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 row글로벌방제주식회사(광양지점)
2nd row주식회사 더원글로벌
3rd row경남방역
4th row주식회사 동아피엔씨
5th rowPCS(주)
ValueCountFrequency (%)
주식회사 3
 
8.8%
글로벌방제주식회사(광양지점 1
 
2.9%
유)대신방역산업 1
 
2.9%
유)대진방역 1
 
2.9%
주)대명에스앤피 1
 
2.9%
주)해암산업 1
 
2.9%
한국방역산업주식회사 1
 
2.9%
경인방역(주 1
 
2.9%
세왕방역(주 1
 
2.9%
주)명륜 1
 
2.9%
Other values (22) 22
64.7%
2023-12-11T12:12:07.405021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 29
 
10.9%
( 24
 
9.1%
) 24
 
9.1%
방 17
 
6.4%
역 12
 
4.5%
사 9
 
3.4%
식 8
 
3.0%
회 8
 
3.0%
제 6
 
2.3%
국 5
 
1.9%
Other values (63) 123
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211
79.6%
Open Punctuation 24
 
9.1%
Close Punctuation 24
 
9.1%
Space Separator 3
 
1.1%
Uppercase Letter 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 29
 
13.7%
방 17
 
8.1%
역 12
 
5.7%
사 9
 
4.3%
식 8
 
3.8%
회 8
 
3.8%
제 6
 
2.8%
국 5
 
2.4%
산 5
 
2.4%
씨 5
 
2.4%
Other values (57) 107
50.7%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
C 1
33.3%
S 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211
79.6%
Common 51
 
19.2%
Latin 3
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 29
 
13.7%
방 17
 
8.1%
역 12
 
5.7%
사 9
 
4.3%
식 8
 
3.8%
회 8
 
3.8%
제 6
 
2.8%
국 5
 
2.4%
산 5
 
2.4%
씨 5
 
2.4%
Other values (57) 107
50.7%
Common
ValueCountFrequency (%)
( 24
47.1%
) 24
47.1%
3
 
5.9%
Latin
ValueCountFrequency (%)
P 1
33.3%
C 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211
79.6%
ASCII 54
 
20.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 29
 
13.7%
방 17
 
8.1%
역 12
 
5.7%
사 9
 
4.3%
식 8
 
3.8%
회 8
 
3.8%
제 6
 
2.8%
국 5
 
2.4%
산 5
 
2.4%
씨 5
 
2.4%
Other values (57) 107
50.7%
ASCII
ValueCountFrequency (%)
( 24
44.4%
) 24
44.4%
3
 
5.6%
P 1
 
1.9%
C 1
 
1.9%
S 1
 
1.9%

주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T12:12:07.782258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length29
Mean length26.064516
Min length17

Characters and Unicode

Total characters808
Distinct characters122
Distinct categories8 ?
Distinct scripts3 ?
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 row전라남도 광양시 항만7로 6 황금물류센터 2층
2nd row부산광역시 사하구 원양로 360-1 (감천동)
3rd row경상남도 창원시 성산구 적현로 490 (귀곡동)
4th row부산광역시 동구 중앙대로236번길 10 금호빌딩 5층
5th row전라남도 광양시 중마로 15 215호
ValueCountFrequency (%)
부산광역시 13
 
8.1%
인천광역시 8
 
5.0%
동구 5
 
3.1%
중구 5
 
3.1%
강서구 5
 
3.1%
사하구 4
 
2.5%
전라남도 3
 
1.9%
광양시 3
 
1.9%
유통단지1로 2
 
1.2%
76 2
 
1.2%
Other values (97) 110
68.8%
2023-12-11T12:12:08.389073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
18.6%
시 31
 
3.8%
1 29
 
3.6%
로 25
 
3.1%
광 25
 
3.1%
구 24
 
3.0%
역 22
 
2.7%
3 21
 
2.6%
동 20
 
2.5%
산 20
 
2.5%
Other values (112) 441
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
58.8%
Space Separator 150
 
18.6%
Decimal Number 148
 
18.3%
Close Punctuation 10
 
1.2%
Open Punctuation 10
 
1.2%
Dash Punctuation 9
 
1.1%
Other Punctuation 5
 
0.6%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 31
 
6.5%
로 25
 
5.3%
광 25
 
5.3%
구 24
 
5.1%
역 22
 
4.6%
동 20
 
4.2%
산 20
 
4.2%
길 17
 
3.6%
번 13
 
2.7%
부 13
 
2.7%
Other values (96) 265
55.8%
Decimal Number
ValueCountFrequency (%)
1 29
19.6%
3 21
14.2%
2 18
12.2%
7 17
11.5%
0 17
11.5%
5 15
10.1%
9 11
 
7.4%
6 9
 
6.1%
4 8
 
5.4%
8 3
 
2.0%
Space Separator
ValueCountFrequency (%)
150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
58.8%
Common 332
41.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 31
 
6.5%
로 25
 
5.3%
광 25
 
5.3%
구 24
 
5.1%
역 22
 
4.6%
동 20
 
4.2%
산 20
 
4.2%
길 17
 
3.6%
번 13
 
2.7%
부 13
 
2.7%
Other values (96) 265
55.8%
Common
ValueCountFrequency (%)
150
45.2%
1 29
 
8.7%
3 21
 
6.3%
2 18
 
5.4%
7 17
 
5.1%
0 17
 
5.1%
5 15
 
4.5%
9 11
 
3.3%
) 10
 
3.0%
( 10
 
3.0%
Other values (5) 34
 
10.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 475
58.8%
ASCII 333
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
45.0%
1 29
 
8.7%
3 21
 
6.3%
2 18
 
5.4%
7 17
 
5.1%
0 17
 
5.1%
5 15
 
4.5%
9 11
 
3.3%
) 10
 
3.0%
( 10
 
3.0%
Other values (6) 35
 
10.5%
Hangul
ValueCountFrequency (%)
시 31
 
6.5%
로 25
 
5.3%
광 25
 
5.3%
구 24
 
5.1%
역 22
 
4.6%
동 20
 
4.2%
산 20
 
4.2%
길 17
 
3.6%
번 13
 
2.7%
부 13
 
2.7%
Other values (96) 265
55.8%

전화번호
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T12:12:08.698768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.967742
Min length11

Characters and Unicode

Total characters371
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

Unique31 ?
Unique (%)100.0%

Sample

1st row061-792-7891
2nd row055-716-1380
3rd row055-267-7420
4th row051-464-2122
5th row061-903-1788
ValueCountFrequency (%)
061-792-7891 1
 
3.2%
051-469-2149 1
 
3.2%
063-467-6154 1
 
3.2%
061-792-7890 1
 
3.2%
051-637-4648 1
 
3.2%
054-274-7245 1
 
3.2%
051-326-8871 1
 
3.2%
032-579-1346 1
 
3.2%
032-588-1761 1
 
3.2%
032-765-7600 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T12:12:09.138751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 61
16.4%
0 48
12.9%
1 39
10.5%
5 34
9.2%
8 33
8.9%
6 32
8.6%
7 32
8.6%
4 31
8.4%
2 27
7.3%
3 22
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.6%
Dash Punctuation 61
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
15.5%
1 39
12.6%
5 34
11.0%
8 33
10.6%
6 32
10.3%
7 32
10.3%
4 31
10.0%
2 27
8.7%
3 22
7.1%
9 12
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 371
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 61
16.4%
0 48
12.9%
1 39
10.5%
5 34
9.2%
8 33
8.9%
6 32
8.6%
7 32
8.6%
4 31
8.4%
2 27
7.3%
3 22
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 371
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 61
16.4%
0 48
12.9%
1 39
10.5%
5 34
9.2%
8 33
8.9%
6 32
8.6%
7 32
8.6%
4 31
8.4%
2 27
7.3%
3 22
 
5.9%

대표자명
Text

Distinct27
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-11T12:12:09.411604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters93
Distinct characters52
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

Unique24 ?
Unique (%)77.4%

Sample

1st row이진우
2nd row윤정희
3rd row황혜진
4th row김호윤
5th row용근식
ValueCountFrequency (%)
이진우 3
 
9.7%
김호윤 2
 
6.5%
홍재희 2
 
6.5%
정수형 1
 
3.2%
박우진 1
 
3.2%
유인영 1
 
3.2%
김채현 1
 
3.2%
노환덕 1
 
3.2%
강인식 1
 
3.2%
박연진 1
 
3.2%
Other values (17) 17
54.8%
2023-12-11T12:12:09.784377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 7
 
7.5%
진 6
 
6.5%
우 4
 
4.3%
윤 4
 
4.3%
희 4
 
4.3%
호 3
 
3.2%
영 3
 
3.2%
김 3
 
3.2%
홍 3
 
3.2%
기 2
 
2.2%
Other values (42) 54
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
7.5%
진 6
 
6.5%
우 4
 
4.3%
윤 4
 
4.3%
희 4
 
4.3%
호 3
 
3.2%
영 3
 
3.2%
김 3
 
3.2%
홍 3
 
3.2%
기 2
 
2.2%
Other values (42) 54
58.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
7.5%
진 6
 
6.5%
우 4
 
4.3%
윤 4
 
4.3%
희 4
 
4.3%
호 3
 
3.2%
영 3
 
3.2%
김 3
 
3.2%
홍 3
 
3.2%
기 2
 
2.2%
Other values (42) 54
58.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 7
 
7.5%
진 6
 
6.5%
우 4
 
4.3%
윤 4
 
4.3%
희 4
 
4.3%
호 3
 
3.2%
영 3
 
3.2%
김 3
 
3.2%
홍 3
 
3.2%
기 2
 
2.2%
Other values (42) 54
58.1%

Correlations

2023-12-11T12:12:09.906745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명주소전화번호대표자명
업체명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
대표자명1.0001.0001.0001.000

Missing values

2023-12-11T12:12:06.612237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:12:06.732307image/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

업체명주소전화번호대표자명
0글로벌방제주식회사(광양지점)전라남도 광양시 항만7로 6 황금물류센터 2층061-792-7891이진우
1주식회사 더원글로벌부산광역시 사하구 원양로 360-1 (감천동)055-716-1380윤정희
2경남방역경상남도 창원시 성산구 적현로 490 (귀곡동)055-267-7420황혜진
3주식회사 동아피엔씨부산광역시 동구 중앙대로236번길 10 금호빌딩 5층051-464-2122김호윤
4PCS(주)전라남도 광양시 중마로 15 215호061-903-1788용근식
5글로벌방제주식회사(부산지점)부산광역시 해운대구 센텀중앙로 90 1509호051-668-9930이진우
6평택당진방역(주)경기도 평택시 포승읍 신영리 951 (평택당진항만내)031-6817288홍재희
7국제에프티엘(주)부산광역시 동구 중앙대로236번길 10 금호빌딩 501호051-462-8777김호윤
8대한티이씨(주)부산광역시 사하구 동매로9번길 20051-203-5719임기택
9(주)영화기업사인천광역시 중구 신포로15번길 73032-589-4403주창대
업체명주소전화번호대표자명
21아주종합방제(주)부산광역시 사하구 동매로 140-1051-465-6400안호제
22(주)명륜인천광역시 중구 신포로27번길 33 3층032-765-7600고도명
23세왕방역(주)인천광역시 동구 방축로 37번길 30, 331동 332호(송현동, 산업용품유통센타1동)032-588-1761전용성
24경인방역(주)인천광역시 동구 방축로 83번길 23 (송림동, 인천산업용품유통센타 편익비동 502호)032-579-1346이난희
25한국방역산업주식회사부산광역시 강서구 화전산단2로 70-16051-326-8871박연진
26(주)해암산업경상북도 포항시 북구 삼호로74번길 7054-274-7245강인식
27(주)대명에스앤피부산광역시 남구 우암로 75 (감만동)051-637-4648노환덕
28(유)대진방역전라남도 광양시 용지길 67-1 (태인동)061-792-7890김채현
29(유)대신방역산업전라북도 군산시 외항안길 295063-467-6154유인영
30한국방역써비스(주)전라북도 군산시 풍전4길 42063-465-0251염대환