Overview

Dataset statistics

Number of variables4
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory35.9 B

Variable types

Text4

Dataset

Description전국에 수출입식물방제업 신고증을 받은 업체정보를 제공하는 서비스
Author농림축산식품부
URLhttps://www.data.go.kr/data/3055530/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 12:45:36.501615
Analysis finished2023-12-12 12:45:36.892343
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T21:45:37.033276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10.5
Mean length8.5
Min length4

Characters and Unicode

Total characters289
Distinct characters77
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

Unique34 ?
Unique (%)100.0%

Sample

1st row국제에프티엘(주)
2nd row(주)영진에프씨
3rd row주식회사 에코스캔
4th row평택당진방역(주)
5th row제이에스방역(주)
ValueCountFrequency (%)
주식회사 4
 
10.5%
주)금호방역 1
 
2.6%
한국종합방제(주 1
 
2.6%
유)대신방역산업 1
 
2.6%
유)대진방역 1
 
2.6%
주)대명에스앤피 1
 
2.6%
주)해암산업 1
 
2.6%
한국방역산업주식회사 1
 
2.6%
경인방역(주 1
 
2.6%
국제에프티엘(주 1
 
2.6%
Other values (25) 25
65.8%
2023-12-12T21:45:37.429344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 31
 
10.7%
( 25
 
8.7%
) 25
 
8.7%
방 19
 
6.6%
역 13
 
4.5%
식 10
 
3.5%
사 10
 
3.5%
회 9
 
3.1%
제 8
 
2.8%
에 6
 
2.1%
Other values (67) 133
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 232
80.3%
Open Punctuation 25
 
8.7%
Close Punctuation 25
 
8.7%
Space Separator 4
 
1.4%
Uppercase Letter 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 31
 
13.4%
방 19
 
8.2%
역 13
 
5.6%
식 10
 
4.3%
사 10
 
4.3%
회 9
 
3.9%
제 8
 
3.4%
에 6
 
2.6%
업 6
 
2.6%
국 5
 
2.2%
Other values (61) 115
49.6%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
C 1
33.3%
S 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 232
80.3%
Common 54
 
18.7%
Latin 3
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 31
 
13.4%
방 19
 
8.2%
역 13
 
5.6%
식 10
 
4.3%
사 10
 
4.3%
회 9
 
3.9%
제 8
 
3.4%
에 6
 
2.6%
업 6
 
2.6%
국 5
 
2.2%
Other values (61) 115
49.6%
Common
ValueCountFrequency (%)
( 25
46.3%
) 25
46.3%
4
 
7.4%
Latin
ValueCountFrequency (%)
P 1
33.3%
C 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 232
80.3%
ASCII 57
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 31
 
13.4%
방 19
 
8.2%
역 13
 
5.6%
식 10
 
4.3%
사 10
 
4.3%
회 9
 
3.9%
제 8
 
3.4%
에 6
 
2.6%
업 6
 
2.6%
국 5
 
2.2%
Other values (61) 115
49.6%
ASCII
ValueCountFrequency (%)
( 25
43.9%
) 25
43.9%
4
 
7.0%
P 1
 
1.8%
C 1
 
1.8%
S 1
 
1.8%

주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T21:45:37.734495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length31
Mean length26
Min length15

Characters and Unicode

Total characters884
Distinct characters121
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

Unique34 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 중앙대로236번길 10 금호빌딩 501호
2nd row부산광역시 강서구 명지새동네길13번길 19, 2층 (명지동)
3rd row부산광역시 금정구 중앙대로 2074 (남산동)
4th row인천광역시 중구 인항로 6
5th row인천광역시 동구 방축로83번길 23 (송림동) 28동 233호(인천산업유통단지)
ValueCountFrequency (%)
부산광역시 14
 
8.0%
인천광역시 10
 
5.7%
중구 6
 
3.4%
동구 6
 
3.4%
강서구 5
 
2.9%
사하구 4
 
2.3%
전라남도 3
 
1.7%
6 3
 
1.7%
광양시 3
 
1.7%
서해대로417번길 2
 
1.1%
Other values (105) 119
68.0%
2023-12-12T21:45:38.217043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
18.7%
시 34
 
3.8%
로 29
 
3.3%
1 29
 
3.3%
광 28
 
3.2%
구 28
 
3.2%
역 25
 
2.8%
3 25
 
2.8%
동 24
 
2.7%
산 23
 
2.6%
Other values (111) 474
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
58.6%
Space Separator 165
 
18.7%
Decimal Number 162
 
18.3%
Close Punctuation 12
 
1.4%
Open Punctuation 12
 
1.4%
Dash Punctuation 9
 
1.0%
Other Punctuation 5
 
0.6%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 34
 
6.6%
로 29
 
5.6%
광 28
 
5.4%
구 28
 
5.4%
역 25
 
4.8%
동 24
 
4.6%
산 23
 
4.4%
길 18
 
3.5%
인 15
 
2.9%
부 14
 
2.7%
Other values (95) 280
54.1%
Decimal Number
ValueCountFrequency (%)
1 29
17.9%
3 25
15.4%
2 22
13.6%
7 19
11.7%
0 18
11.1%
5 14
8.6%
9 10
 
6.2%
6 10
 
6.2%
4 9
 
5.6%
8 6
 
3.7%
Space Separator
ValueCountFrequency (%)
165
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
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 518
58.6%
Common 365
41.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 34
 
6.6%
로 29
 
5.6%
광 28
 
5.4%
구 28
 
5.4%
역 25
 
4.8%
동 24
 
4.6%
산 23
 
4.4%
길 18
 
3.5%
인 15
 
2.9%
부 14
 
2.7%
Other values (95) 280
54.1%
Common
ValueCountFrequency (%)
165
45.2%
1 29
 
7.9%
3 25
 
6.8%
2 22
 
6.0%
7 19
 
5.2%
0 18
 
4.9%
5 14
 
3.8%
) 12
 
3.3%
( 12
 
3.3%
9 10
 
2.7%
Other values (5) 39
 
10.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
58.6%
ASCII 366
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
45.1%
1 29
 
7.9%
3 25
 
6.8%
2 22
 
6.0%
7 19
 
5.2%
0 18
 
4.9%
5 14
 
3.8%
) 12
 
3.3%
( 12
 
3.3%
9 10
 
2.7%
Other values (6) 40
 
10.9%
Hangul
ValueCountFrequency (%)
시 34
 
6.6%
로 29
 
5.6%
광 28
 
5.4%
구 28
 
5.4%
역 25
 
4.8%
동 24
 
4.6%
산 23
 
4.4%
길 18
 
3.5%
인 15
 
2.9%
부 14
 
2.7%
Other values (95) 280
54.1%

전화번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T21:45:38.460574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.029412
Min length12

Characters and Unicode

Total characters409
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

Unique34 ?
Unique (%)100.0%

Sample

1st row051-462-8777
2nd row051-271-5588
3rd row051-791-1661
4th row070-4095-3285
5th row032-589-1346
ValueCountFrequency (%)
051-462-8777 1
 
2.9%
051-271-5588 1
 
2.9%
063-467-6154 1
 
2.9%
061-792-7890 1
 
2.9%
051-637-4648 1
 
2.9%
054-274-7245 1
 
2.9%
051-326-8871 1
 
2.9%
032-579-1346 1
 
2.9%
032-588-1761 1
 
2.9%
055-716-1380 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T21:45:38.826641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.6%
0 54
13.2%
1 45
11.0%
5 39
9.5%
6 35
8.6%
4 34
8.3%
7 33
8.1%
8 32
7.8%
2 29
7.1%
3 24
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 341
83.4%
Dash Punctuation 68
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54
15.8%
1 45
13.2%
5 39
11.4%
6 35
10.3%
4 34
10.0%
7 33
9.7%
8 32
9.4%
2 29
8.5%
3 24
7.0%
9 16
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.6%
0 54
13.2%
1 45
11.0%
5 39
9.5%
6 35
8.6%
4 34
8.3%
7 33
8.1%
8 32
7.8%
2 29
7.1%
3 24
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.6%
0 54
13.2%
1 45
11.0%
5 39
9.5%
6 35
8.6%
4 34
8.3%
7 33
8.1%
8 32
7.8%
2 29
7.1%
3 24
 
5.9%

대표자명
Text

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T21:45:39.046188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters102
Distinct characters53
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

Unique29 ?
Unique (%)85.3%

Sample

1st row김호윤
2nd row정수형
3rd row도광주
4th row박봉진
5th row박재성
ValueCountFrequency (%)
이진우 3
 
8.8%
김호윤 2
 
5.9%
이재홍 1
 
2.9%
윤영섭 1
 
2.9%
송수연 1
 
2.9%
김채현 1
 
2.9%
노환덕 1
 
2.9%
강인식 1
 
2.9%
박연진 1
 
2.9%
이난희 1
 
2.9%
Other values (21) 21
61.8%
2023-12-12T21:45:39.371524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 8
 
7.8%
진 7
 
6.9%
우 4
 
3.9%
윤 4
 
3.9%
박 4
 
3.9%
희 3
 
2.9%
성 3
 
2.9%
재 3
 
2.9%
홍 3
 
2.9%
호 3
 
2.9%
Other values (43) 60
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8
 
7.8%
진 7
 
6.9%
우 4
 
3.9%
윤 4
 
3.9%
박 4
 
3.9%
희 3
 
2.9%
성 3
 
2.9%
재 3
 
2.9%
홍 3
 
2.9%
호 3
 
2.9%
Other values (43) 60
58.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8
 
7.8%
진 7
 
6.9%
우 4
 
3.9%
윤 4
 
3.9%
박 4
 
3.9%
희 3
 
2.9%
성 3
 
2.9%
재 3
 
2.9%
홍 3
 
2.9%
호 3
 
2.9%
Other values (43) 60
58.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 8
 
7.8%
진 7
 
6.9%
우 4
 
3.9%
윤 4
 
3.9%
박 4
 
3.9%
희 3
 
2.9%
성 3
 
2.9%
재 3
 
2.9%
홍 3
 
2.9%
호 3
 
2.9%
Other values (43) 60
58.8%

Correlations

2023-12-12T21:45:39.479183image/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

2023-12-12T21:45:36.770259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:45:36.854822image/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
0국제에프티엘(주)부산광역시 동구 중앙대로236번길 10 금호빌딩 501호051-462-8777김호윤
1(주)영진에프씨부산광역시 강서구 명지새동네길13번길 19, 2층 (명지동)051-271-5588정수형
2주식회사 에코스캔부산광역시 금정구 중앙대로 2074 (남산동)051-791-1661도광주
3평택당진방역(주)인천광역시 중구 인항로 6070-4095-3285박봉진
4제이에스방역(주)인천광역시 동구 방축로83번길 23 (송림동) 28동 233호(인천산업유통단지)032-589-1346박재성
5경남방역경상남도 창원시 성산구 적현로 490 (귀곡동)055-267-7420황혜진
6대림방역(주)부산광역시 사하구 하신번영로 135 507호(신평동, 신평빌딩)051-466-4876황현숙
7주식회사 동아피엔씨부산광역시 동구 중앙대로236번길 10 금호빌딩 5층051-464-2122김호윤
8글로벌방제주식회사(광양지점)전라남도 광양시 항만7로 6 황금물류센터 2층061-792-7891이진우
9주식회사 더원글로벌부산광역시 사하구 원양로 360-1 (감천동)055-716-1380윤정희
업체명주소전화번호대표자명
24아주종합방제(주)부산광역시 사하구 동매로 140-1051-465-6400안호제
25(주)명륜인천광역시 중구 신포로27번길 33 3층032-765-7600고도명
26세왕방역(주)인천광역시 동구 방축로 37번길 30, 331동 332호(송현동, 산업용품유통센타1동)032-588-1761전용성
27경인방역(주)인천광역시 동구 방축로 83번길 23 (송림동, 인천산업용품유통센타 편익비동 502호)032-579-1346이난희
28한국방역산업주식회사부산광역시 강서구 화전산단2로 70-16051-326-8871박연진
29(주)해암산업경상북도 포항시 북구 삼호로74번길 7054-274-7245강인식
30(주)대명에스앤피부산광역시 남구 우암로 75051-637-4648노환덕
31(유)대진방역전라남도 광양시 용지길 67-1 (태인동)061-792-7890김채현
32(유)대신방역산업전라북도 군산시 외항안길 295063-467-6154송수연
33한국방역써비스(주)전라북도 군산시 풍전4길 42063-465-0251염대환