Overview

Dataset statistics

Number of variables4
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.1 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 03:10:44.465669
Analysis finished2023-12-11 03:10:44.918619
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T12:10:45.108141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length8.46875
Min length4

Characters and Unicode

Total characters271
Distinct characters75
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

Unique32 ?
Unique (%)100.0%

Sample

1st row글로벌방제주식회사(광양지점)
2nd row주식회사 더원글로벌
3rd row경남방역
4th row주식회사 동아피엔씨
5th rowPCS(주)
ValueCountFrequency (%)
주식회사 3
 
8.6%
주)명륜 1
 
2.9%
우리에프앤씨 1
 
2.9%
주)영진에프씨 1
 
2.9%
대림방역(주 1
 
2.9%
한국방역산업(주 1
 
2.9%
주)신우티앤씨 1
 
2.9%
아주종합방제(주 1
 
2.9%
글로벌방제주식회사(광양지점 1
 
2.9%
식물방제업체 1
 
2.9%
Other values (23) 23
65.7%
2023-12-11T12:10:45.497002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 29
 
10.7%
) 24
 
8.9%
( 24
 
8.9%
방 18
 
6.6%
역 12
 
4.4%
사 9
 
3.3%
식 9
 
3.3%
회 8
 
3.0%
제 7
 
2.6%
업 6
 
2.2%
Other values (65) 125
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
80.1%
Close Punctuation 24
 
8.9%
Open Punctuation 24
 
8.9%
Space Separator 3
 
1.1%
Uppercase Letter 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 29
 
13.4%
방 18
 
8.3%
역 12
 
5.5%
사 9
 
4.1%
식 9
 
4.1%
회 8
 
3.7%
제 7
 
3.2%
업 6
 
2.8%
대 5
 
2.3%
한 5
 
2.3%
Other values (59) 109
50.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
C 1
33.3%
S 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
80.1%
Common 51
 
18.8%
Latin 3
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 29
 
13.4%
방 18
 
8.3%
역 12
 
5.5%
사 9
 
4.1%
식 9
 
4.1%
회 8
 
3.7%
제 7
 
3.2%
업 6
 
2.8%
대 5
 
2.3%
한 5
 
2.3%
Other values (59) 109
50.2%
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 217
80.1%
ASCII 54
 
19.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 29
 
13.4%
방 18
 
8.3%
역 12
 
5.5%
사 9
 
4.1%
식 9
 
4.1%
회 8
 
3.7%
제 7
 
3.2%
업 6
 
2.8%
대 5
 
2.3%
한 5
 
2.3%
Other values (59) 109
50.2%
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 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T12:10:45.939819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length30
Mean length26.0625
Min length17

Characters and Unicode

Total characters834
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

Unique32 ?
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
 
7.8%
인천광역시 8
 
4.8%
중구 5
 
3.0%
강서구 5
 
3.0%
동구 5
 
3.0%
사하구 4
 
2.4%
광양시 3
 
1.8%
경기도 3
 
1.8%
전라남도 3
 
1.8%
군산시 2
 
1.2%
Other values (102) 115
69.3%
2023-12-11T12:10:46.449985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
18.7%
시 32
 
3.8%
1 30
 
3.6%
로 26
 
3.1%
구 25
 
3.0%
광 25
 
3.0%
역 22
 
2.6%
3 21
 
2.5%
동 21
 
2.5%
산 20
 
2.4%
Other values (112) 456
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
58.8%
Space Separator 156
 
18.7%
Decimal Number 151
 
18.1%
Open Punctuation 11
 
1.3%
Close Punctuation 11
 
1.3%
Dash Punctuation 9
 
1.1%
Other Punctuation 5
 
0.6%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 32
 
6.5%
로 26
 
5.3%
구 25
 
5.1%
광 25
 
5.1%
역 22
 
4.5%
동 21
 
4.3%
산 20
 
4.1%
길 17
 
3.5%
번 13
 
2.7%
부 13
 
2.7%
Other values (96) 276
56.3%
Decimal Number
ValueCountFrequency (%)
1 30
19.9%
3 21
13.9%
2 18
11.9%
7 18
11.9%
0 17
11.3%
5 15
9.9%
9 11
 
7.3%
6 9
 
6.0%
4 8
 
5.3%
8 4
 
2.6%
Space Separator
ValueCountFrequency (%)
156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
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 490
58.8%
Common 343
41.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 32
 
6.5%
로 26
 
5.3%
구 25
 
5.1%
광 25
 
5.1%
역 22
 
4.5%
동 21
 
4.3%
산 20
 
4.1%
길 17
 
3.5%
번 13
 
2.7%
부 13
 
2.7%
Other values (96) 276
56.3%
Common
ValueCountFrequency (%)
156
45.5%
1 30
 
8.7%
3 21
 
6.1%
2 18
 
5.2%
7 18
 
5.2%
0 17
 
5.0%
5 15
 
4.4%
9 11
 
3.2%
( 11
 
3.2%
) 11
 
3.2%
Other values (5) 35
 
10.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 490
58.8%
ASCII 344
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
45.3%
1 30
 
8.7%
3 21
 
6.1%
2 18
 
5.2%
7 18
 
5.2%
0 17
 
4.9%
5 15
 
4.4%
9 11
 
3.2%
( 11
 
3.2%
) 11
 
3.2%
Other values (6) 36
 
10.5%
Hangul
ValueCountFrequency (%)
시 32
 
6.5%
로 26
 
5.3%
구 25
 
5.1%
광 25
 
5.1%
역 22
 
4.5%
동 21
 
4.3%
산 20
 
4.1%
길 17
 
3.5%
번 13
 
2.7%
부 13
 
2.7%
Other values (96) 276
56.3%

전화번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T12:10:46.732151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
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

Unique32 ?
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
 
3.1%
055-716-1380 1
 
3.1%
063-467-6154 1
 
3.1%
061-792-7890 1
 
3.1%
051-637-4648 1
 
3.1%
054-274-7245 1
 
3.1%
051-326-8871 1
 
3.1%
032-579-1346 1
 
3.1%
032-588-1761 1
 
3.1%
032-765-7600 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T12:10:47.267088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 64
16.7%
0 50
13.0%
1 42
10.9%
5 35
9.1%
6 33
8.6%
8 33
8.6%
7 32
8.3%
4 32
8.3%
2 28
7.3%
3 22
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
15.6%
1 42
13.1%
5 35
10.9%
6 33
10.3%
8 33
10.3%
7 32
10.0%
4 32
10.0%
2 28
8.8%
3 22
6.9%
9 13
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 64
16.7%
0 50
13.0%
1 42
10.9%
5 35
9.1%
6 33
8.6%
8 33
8.6%
7 32
8.3%
4 32
8.3%
2 28
7.3%
3 22
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 64
16.7%
0 50
13.0%
1 42
10.9%
5 35
9.1%
6 33
8.6%
8 33
8.6%
7 32
8.3%
4 32
8.3%
2 28
7.3%
3 22
 
5.7%

대표자명
Text

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T12:10:47.559451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters96
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

Unique25 ?
Unique (%)78.1%

Sample

1st row이진우
2nd row윤정희
3rd row황혜진
4th row김호윤
5th row용근식
ValueCountFrequency (%)
이진우 3
 
9.4%
김호윤 2
 
6.2%
홍재희 2
 
6.2%
박우진 1
 
3.1%
황현숙 1
 
3.1%
유인영 1
 
3.1%
김채현 1
 
3.1%
노환덕 1
 
3.1%
강인식 1
 
3.1%
박연진 1
 
3.1%
Other values (18) 18
56.2%
2023-12-11T12:10:47.944322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 8
 
8.3%
진 6
 
6.2%
우 4
 
4.2%
홍 4
 
4.2%
희 4
 
4.2%
윤 4
 
4.2%
재 3
 
3.1%
김 3
 
3.1%
호 3
 
3.1%
영 3
 
3.1%
Other values (42) 54
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
8.3%
진 6
 
6.2%
우 4
 
4.2%
홍 4
 
4.2%
희 4
 
4.2%
윤 4
 
4.2%
재 3
 
3.1%
김 3
 
3.1%
호 3
 
3.1%
영 3
 
3.1%
Other values (42) 54
56.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
8.3%
진 6
 
6.2%
우 4
 
4.2%
홍 4
 
4.2%
희 4
 
4.2%
윤 4
 
4.2%
재 3
 
3.1%
김 3
 
3.1%
호 3
 
3.1%
영 3
 
3.1%
Other values (42) 54
56.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 8
 
8.3%
진 6
 
6.2%
우 4
 
4.2%
홍 4
 
4.2%
희 4
 
4.2%
윤 4
 
4.2%
재 3
 
3.1%
김 3
 
3.1%
호 3
 
3.1%
영 3
 
3.1%
Other values (42) 54
56.2%

Correlations

2023-12-11T12:10:48.048697image/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

2023-12-11T12:10:44.752825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:10:44.864337image/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)031-681-7288홍재희
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
22아주종합방제(주)부산광역시 사하구 동매로 140-1051-465-6400안호제
23(주)명륜인천광역시 중구 신포로27번길 33 3층032-765-7600고도명
24세왕방역(주)인천광역시 동구 방축로 37번길 30, 331동 332호(송현동, 산업용품유통센타1동)032-588-1761전용성
25경인방역(주)인천광역시 동구 방축로 83번길 23 (송림동, 인천산업용품유통센타 편익비동 502호)032-579-1346이난희
26한국방역산업주식회사부산광역시 강서구 화전산단2로 70-16051-326-8871박연진
27(주)해암산업경상북도 포항시 북구 삼호로74번길 7054-274-7245강인식
28(주)대명에스앤피부산광역시 남구 우암로 75 (감만동)051-637-4648노환덕
29(유)대진방역전라남도 광양시 용지길 67-1 (태인동)061-792-7890김채현
30(유)대신방역산업전라북도 군산시 외항안길 295063-467-6154유인영
31한국방역써비스(주)전라북도 군산시 풍전4길 42063-465-0251염대환