Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.4 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

다운로드 받은 등록 양식를 변경하여 등록하지 마세요. has unique valuesUnique
Unnamed: 1 has unique valuesUnique
Unnamed: 2 has unique valuesUnique

Reproduction

Analysis started2023-12-11 03:10:26.144434
Analysis finished2023-12-11 03:10:26.628351
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T12:10:26.824658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length8.4
Min length3

Characters and Unicode

Total characters252
Distinct characters68
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row업체명
2nd row인천훈증주식회사
3rd row우리방역(주)
4th row세림방역(주)
5th row평택당진방역(주)
ValueCountFrequency (%)
업체명 1
 
3.2%
아주종합방제(주 1
 
3.2%
유)대신방역산업 1
 
3.2%
유)대진방역 1
 
3.2%
주)퍼시픽우진 1
 
3.2%
한국방역산업(주 1
 
3.2%
주)대명에스앤피 1
 
3.2%
국제에프티엘(주 1
 
3.2%
주)해암산업 1
 
3.2%
대한티이씨(주 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T12:10:27.273488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
10.7%
) 25
 
9.9%
( 25
 
9.9%
18
 
7.1%
12
 
4.8%
7
 
2.8%
7
 
2.8%
6
 
2.4%
6
 
2.4%
6
 
2.4%
Other values (58) 113
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
79.8%
Close Punctuation 25
 
9.9%
Open Punctuation 25
 
9.9%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
27
 
13.4%
18
 
9.0%
12
 
6.0%
7
 
3.5%
7
 
3.5%
6
 
3.0%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
Other values (55) 102
50.7%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
79.8%
Common 51
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
27
 
13.4%
18
 
9.0%
12
 
6.0%
7
 
3.5%
7
 
3.5%
6
 
3.0%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
Other values (55) 102
50.7%
Common
ValueCountFrequency (%)
) 25
49.0%
( 25
49.0%
1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201
79.8%
ASCII 51
 
20.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
27
 
13.4%
18
 
9.0%
12
 
6.0%
7
 
3.5%
7
 
3.5%
6
 
3.0%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
Other values (55) 102
50.7%
ASCII
ValueCountFrequency (%)
) 25
49.0%
( 25
49.0%
1
 
2.0%

Unnamed: 1
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T12:10:27.688986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length32.5
Mean length25.833333
Min length2

Characters and Unicode

Total characters775
Distinct characters115
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

Unique30 ?
Unique (%)100.0%

Sample

1st row주소
2nd row인천광역시 동구 제물량로 351
3rd row부산광역시 강서구 제도로 80
4th row경기도 평택시 포승읍 포승공단순환로 49
5th row경기도 평택시 포승읍 서동대로 437-55
ValueCountFrequency (%)
부산광역시 12
 
7.8%
인천광역시 8
 
5.2%
중구 7
 
4.5%
동구 5
 
3.2%
남구 4
 
2.6%
사하구 3
 
1.9%
강서구 3
 
1.9%
10 3
 
1.9%
동매로 2
 
1.3%
27-9 2
 
1.3%
Other values (90) 105
68.2%
2023-12-11T12:10:28.230769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
19.0%
29
 
3.7%
24
 
3.1%
24
 
3.1%
24
 
3.1%
23
 
3.0%
3 23
 
3.0%
22
 
2.8%
2 20
 
2.6%
1 20
 
2.6%
Other values (105) 419
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
57.8%
Space Separator 147
 
19.0%
Decimal Number 143
 
18.5%
Close Punctuation 10
 
1.3%
Open Punctuation 10
 
1.3%
Dash Punctuation 9
 
1.2%
Other Punctuation 7
 
0.9%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
6.5%
24
 
5.4%
24
 
5.4%
24
 
5.4%
23
 
5.1%
22
 
4.9%
19
 
4.2%
18
 
4.0%
14
 
3.1%
14
 
3.1%
Other values (89) 237
52.9%
Decimal Number
ValueCountFrequency (%)
3 23
16.1%
2 20
14.0%
1 20
14.0%
0 17
11.9%
7 16
11.2%
5 15
10.5%
4 13
9.1%
9 8
 
5.6%
6 8
 
5.6%
8 3
 
2.1%
Space Separator
ValueCountFrequency (%)
147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
57.8%
Common 326
42.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
6.5%
24
 
5.4%
24
 
5.4%
24
 
5.4%
23
 
5.1%
22
 
4.9%
19
 
4.2%
18
 
4.0%
14
 
3.1%
14
 
3.1%
Other values (89) 237
52.9%
Common
ValueCountFrequency (%)
147
45.1%
3 23
 
7.1%
2 20
 
6.1%
1 20
 
6.1%
0 17
 
5.2%
7 16
 
4.9%
5 15
 
4.6%
4 13
 
4.0%
) 10
 
3.1%
( 10
 
3.1%
Other values (5) 35
 
10.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
57.8%
ASCII 327
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
45.0%
3 23
 
7.0%
2 20
 
6.1%
1 20
 
6.1%
0 17
 
5.2%
7 16
 
4.9%
5 15
 
4.6%
4 13
 
4.0%
) 10
 
3.1%
( 10
 
3.1%
Other values (6) 36
 
11.0%
Hangul
ValueCountFrequency (%)
29
 
6.5%
24
 
5.4%
24
 
5.4%
24
 
5.4%
23
 
5.1%
22
 
4.9%
19
 
4.2%
18
 
4.0%
14
 
3.1%
14
 
3.1%
Other values (89) 237
52.9%

Unnamed: 2
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T12:10:28.524190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.5
Min length4

Characters and Unicode

Total characters375
Distinct characters18
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

Unique30 ?
Unique (%)100.0%

Sample

1st row전화번호
2nd row032-584-3802-3
3rd row051-469-2149-50
4th row031-686-5548
5th row031) 6817288
ValueCountFrequency (%)
전화번호 1
 
3.2%
051-465-6400 1
 
3.2%
063-467-6154-5 1
 
3.2%
061-792-7890 1
 
3.2%
051-467-5477 1
 
3.2%
032-887-8114-5 1
 
3.2%
051-637-4648 1
 
3.2%
051-462-8777-9 1
 
3.2%
054-274-7245 1
 
3.2%
051-203-5719 1
 
3.2%
Other values (21) 21
67.7%
2023-12-11T12:10:28.953466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 63
16.8%
0 46
12.3%
5 35
9.3%
1 35
9.3%
8 32
8.5%
4 31
8.3%
2 30
8.0%
6 29
7.7%
7 29
7.7%
3 23
 
6.1%
Other values (8) 22
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 302
80.5%
Dash Punctuation 63
 
16.8%
Other Letter 4
 
1.1%
Close Punctuation 3
 
0.8%
Math Symbol 2
 
0.5%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
15.2%
5 35
11.6%
1 35
11.6%
8 32
10.6%
4 31
10.3%
2 30
9.9%
6 29
9.6%
7 29
9.6%
3 23
7.6%
9 12
 
4.0%
Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 371
98.9%
Hangul 4
 
1.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 63
17.0%
0 46
12.4%
5 35
9.4%
1 35
9.4%
8 32
8.6%
4 31
8.4%
2 30
8.1%
6 29
7.8%
7 29
7.8%
3 23
 
6.2%
Other values (4) 18
 
4.9%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 371
98.9%
Hangul 4
 
1.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 63
17.0%
0 46
12.4%
5 35
9.4%
1 35
9.4%
8 32
8.6%
4 31
8.4%
2 30
8.1%
6 29
7.8%
7 29
7.8%
3 23
 
6.2%
Other values (4) 18
 
4.9%
Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T12:10:29.220072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0333333
Min length3

Characters and Unicode

Total characters91
Distinct characters57
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

Unique27 ?
Unique (%)90.0%

Sample

1st row대표자명
2nd row홍재희
3rd row이돈홍
4th row문봉종
5th row심일홍
ValueCountFrequency (%)
이진우 3
 
10.0%
대표자명 1
 
3.3%
고도명 1
 
3.3%
유인영 1
 
3.3%
김채현 1
 
3.3%
윤영섭 1
 
3.3%
박우진 1
 
3.3%
노환덕 1
 
3.3%
이성우 1
 
3.3%
강인식 1
 
3.3%
Other values (18) 18
60.0%
2023-12-11T12:10:29.676879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
8.8%
5
 
5.5%
5
 
5.5%
4
 
4.4%
3
 
3.3%
3
 
3.3%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (47) 55
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
8.8%
5
 
5.5%
5
 
5.5%
4
 
4.4%
3
 
3.3%
3
 
3.3%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (47) 55
60.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
8.8%
5
 
5.5%
5
 
5.5%
4
 
4.4%
3
 
3.3%
3
 
3.3%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (47) 55
60.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
8.8%
5
 
5.5%
5
 
5.5%
4
 
4.4%
3
 
3.3%
3
 
3.3%
2
 
2.2%
2
 
2.2%
2
 
2.2%
2
 
2.2%
Other values (47) 55
60.4%

Correlations

2023-12-11T12:10:29.787904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
다운로드 받은 등록 양식를 변경하여 등록하지 마세요.Unnamed: 1Unnamed: 2Unnamed: 3
다운로드 받은 등록 양식를 변경하여 등록하지 마세요.1.0001.0001.0001.000
Unnamed: 11.0001.0001.0001.000
Unnamed: 21.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.000

Missing values

2023-12-11T12:10:26.459179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:10:26.579925image/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

다운로드 받은 등록 양식를 변경하여 등록하지 마세요.Unnamed: 1Unnamed: 2Unnamed: 3
0업체명주소전화번호대표자명
1인천훈증주식회사인천광역시 동구 제물량로 351032-584-3802-3홍재희
2우리방역(주)부산광역시 강서구 제도로 80051-469-2149-50이돈홍
3세림방역(주)경기도 평택시 포승읍 포승공단순환로 49031-686-5548문봉종
4평택당진방역(주)경기도 평택시 포승읍 서동대로 437-55031) 6817288심일홍
5(주)신우티앤씨인천광역시 중구 인항로 6 씨팰리스 A-805032-886-4417~8이성운
6(주)영화기업사인천광역시 중구 신포로15번길 73032-589-4403주창대
7대림방역(주)부산광역시 사하구 하신번영로 135 507호(신평동, 신평빌딩)051-466-4876-7황현숙
8(유)에이스방제울산광역시 남구 용연로 295-109052)240-8350장봉춘
9한국종합방제(주)인천광역시 중구 서해대로417번길 27-9032-887-8111~2이웅기
다운로드 받은 등록 양식를 변경하여 등록하지 마세요.Unnamed: 1Unnamed: 2Unnamed: 3
20한국방역산업주식회사부산광역시 강서구 화전산단2로 70-16051-326-8871-3박연진
21대한티이씨(주)부산광역시 사하구 동매로 120 (하단동, 한신혜성아파트) 상가 202호051-203-5719임기택
22(주)해암산업경상북도 포항시 북구 삼호로74번길 7054-274-7245강인식
23국제에프티엘(주)부산광역시 동구 중앙대로236번길 10 (초량동) 501호051-462-8777-9이성우
24(주)대명에스앤피부산광역시 남구 우암로 75 (감만동)051-637-4648노환덕
25한국방역산업(주)인천광역시 중구 서해대로 417번길 27-9 (항동7가)032-887-8114-5박우진
26(주)퍼시픽우진부산광역시 중구 중앙대로46번길 4 동흥빌딩 303호051-467-5477윤영섭
27(유)대진방역전라남도 광양시 용지길 67-1 (태인동)061-792-7890김채현
28(유)대신방역산업전라북도 군산시 외항안길 295063-467-6154-5유인영
29한국방역써비스(주)전라북도 군산시 풍전4길 42063-465-0251-2염대환