Overview

Dataset statistics

Number of variables5
Number of observations22
Missing cells2
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1012.0 B
Average record size in memory46.0 B

Variable types

Categorical2
Text3

Dataset

Description안산시 소재 비료 수입, 비료 생산, 농약 판매업체 현황입니다. 종목,업체명,소재지,전화번호,데이터기준일자를 제공합니다.
URLhttps://www.data.go.kr/data/15068549/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 2 (9.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 19:47:55.435948
Analysis finished2023-12-12 19:47:55.766702
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종목
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
농약판매업
14 
비료생산업
4 
비료수입업
4 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농약판매업
2nd row농약판매업
3rd row농약판매업
4th row농약판매업
5th row농약판매업

Common Values

ValueCountFrequency (%)
농약판매업 14
63.6%
비료생산업 4
 
18.2%
비료수입업 4
 
18.2%

Length

2023-12-13T04:47:55.831606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:47:55.960850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농약판매업 14
63.6%
비료생산업 4
 
18.2%
비료수입업 4
 
18.2%

업체명
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T04:47:56.130079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length7.0909091
Min length2

Characters and Unicode

Total characters156
Distinct characters73
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)81.8%

Sample

1st row반월종묘농약사
2nd row대부종묘농약사
3rd row진흥농약
4th row그린퍼티라이저㈜
5th row제일농약사
ValueCountFrequency (%)
그린퍼티라이저㈜ 2
 
8.0%
무경바이오 2
 
8.0%
조은농약사 1
 
4.0%
반월종묘농약사 1
 
4.0%
주식회사 1
 
4.0%
성보화학 1
 
4.0%
㈜플란텍 1
 
4.0%
테콘 1
 
4.0%
안산시음식물폐기물공공자원화시설 1
 
4.0%
안산시농업기술센터 1
 
4.0%
Other values (13) 13
52.0%
2023-12-13T04:47:56.454664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 12
 
7.7%
사 9
 
5.8%
약 7
 
4.5%
이 5
 
3.2%
㈜ 5
 
3.2%
경 5
 
3.2%
묘 4
 
2.6%
종 4
 
2.6%
산 4
 
2.6%
안 4
 
2.6%
Other values (63) 97
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148
94.9%
Other Symbol 5
 
3.2%
Space Separator 3
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 12
 
8.1%
사 9
 
6.1%
약 7
 
4.7%
이 5
 
3.4%
경 5
 
3.4%
묘 4
 
2.7%
종 4
 
2.7%
산 4
 
2.7%
안 4
 
2.7%
제 4
 
2.7%
Other values (61) 90
60.8%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
98.1%
Common 3
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 12
 
7.8%
사 9
 
5.9%
약 7
 
4.6%
이 5
 
3.3%
㈜ 5
 
3.3%
경 5
 
3.3%
묘 4
 
2.6%
종 4
 
2.6%
산 4
 
2.6%
안 4
 
2.6%
Other values (62) 94
61.4%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148
94.9%
None 5
 
3.2%
ASCII 3
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 12
 
8.1%
사 9
 
6.1%
약 7
 
4.7%
이 5
 
3.4%
경 5
 
3.4%
묘 4
 
2.7%
종 4
 
2.7%
산 4
 
2.7%
안 4
 
2.7%
제 4
 
2.7%
Other values (61) 90
60.8%
None
ValueCountFrequency (%)
㈜ 5
100.0%
ASCII
ValueCountFrequency (%)
3
100.0%

소재지
Text

Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T04:47:56.722791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length31.5
Mean length28.636364
Min length19

Characters and Unicode

Total characters630
Distinct characters81
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

Unique18 ?
Unique (%)81.8%

Sample

1st row경기도 안산시 상록구 건건동 645-1
2nd row경기도 안산시 단원구 대남로 7, 1층
3rd row경기도 안산시 단원구 대부중앙로 99(대부북동)
4th row경기도 안산시 단원구 고잔로 76, 1009호(고잔동, 영풍빌딩)
5th row경기도 안산시 단원구 화랑로 98, 바동5호(원곡동)
ValueCountFrequency (%)
경기도 22
 
16.5%
안산시 22
 
16.5%
단원구 17
 
12.8%
상록구 5
 
3.8%
76 2
 
1.5%
대부중앙로 2
 
1.5%
해안로 2
 
1.5%
고잔로 2
 
1.5%
건건동 2
 
1.5%
1009호(고잔동 2
 
1.5%
Other values (50) 55
41.4%
2023-12-13T04:47:57.079690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
17.6%
1 31
 
4.9%
산 27
 
4.3%
안 25
 
4.0%
시 25
 
4.0%
동 23
 
3.7%
도 23
 
3.7%
기 23
 
3.7%
구 22
 
3.5%
경 22
 
3.5%
Other values (71) 298
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
58.1%
Space Separator 111
 
17.6%
Decimal Number 101
 
16.0%
Open Punctuation 17
 
2.7%
Close Punctuation 17
 
2.7%
Other Punctuation 14
 
2.2%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 27
 
7.4%
안 25
 
6.8%
시 25
 
6.8%
동 23
 
6.3%
도 23
 
6.3%
기 23
 
6.3%
구 22
 
6.0%
경 22
 
6.0%
원 21
 
5.7%
단 21
 
5.7%
Other values (56) 134
36.6%
Decimal Number
ValueCountFrequency (%)
1 31
30.7%
0 13
12.9%
2 12
 
11.9%
9 9
 
8.9%
6 8
 
7.9%
5 7
 
6.9%
7 7
 
6.9%
3 5
 
5.0%
4 5
 
5.0%
8 4
 
4.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
58.1%
Common 264
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 27
 
7.4%
안 25
 
6.8%
시 25
 
6.8%
동 23
 
6.3%
도 23
 
6.3%
기 23
 
6.3%
구 22
 
6.0%
경 22
 
6.0%
원 21
 
5.7%
단 21
 
5.7%
Other values (56) 134
36.6%
Common
ValueCountFrequency (%)
111
42.0%
1 31
 
11.7%
( 17
 
6.4%
) 17
 
6.4%
, 14
 
5.3%
0 13
 
4.9%
2 12
 
4.5%
9 9
 
3.4%
6 8
 
3.0%
5 7
 
2.7%
Other values (5) 25
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
58.1%
ASCII 264
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
42.0%
1 31
 
11.7%
( 17
 
6.4%
) 17
 
6.4%
, 14
 
5.3%
0 13
 
4.9%
2 12
 
4.5%
9 9
 
3.4%
6 8
 
3.0%
5 7
 
2.7%
Other values (5) 25
 
9.5%
Hangul
ValueCountFrequency (%)
산 27
 
7.4%
안 25
 
6.8%
시 25
 
6.8%
동 23
 
6.3%
도 23
 
6.3%
기 23
 
6.3%
구 22
 
6.0%
경 22
 
6.0%
원 21
 
5.7%
단 21
 
5.7%
Other values (56) 134
36.6%

전화번호
Text

MISSING 

Distinct18
Distinct (%)90.0%
Missing2
Missing (%)9.1%
Memory size308.0 B
2023-12-13T04:47:57.258128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.05
Min length12

Characters and Unicode

Total characters241
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

Unique16 ?
Unique (%)80.0%

Sample

1st row031-437-1583
2nd row032-883-8170
3rd row032-886-2738
4th row031-405-7697
5th row031-402-5051
ValueCountFrequency (%)
031-494-1237 2
 
10.0%
031-405-7697 2
 
10.0%
031-437-1583 1
 
5.0%
031-507-4471 1
 
5.0%
031-481-2784 1
 
5.0%
031-481-2599 1
 
5.0%
031-485-5522 1
 
5.0%
031-418-6857 1
 
5.0%
031-437-0017 1
 
5.0%
070-8299-5574 1
 
5.0%
Other values (8) 8
40.0%
2023-12-13T04:47:57.550133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 40
16.6%
0 33
13.7%
3 28
11.6%
1 28
11.6%
7 24
10.0%
4 22
9.1%
8 19
7.9%
2 15
 
6.2%
5 15
 
6.2%
9 11
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
83.4%
Dash Punctuation 40
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
16.4%
3 28
13.9%
1 28
13.9%
7 24
11.9%
4 22
10.9%
8 19
9.5%
2 15
7.5%
5 15
7.5%
9 11
 
5.5%
6 6
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 241
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 40
16.6%
0 33
13.7%
3 28
11.6%
1 28
11.6%
7 24
10.0%
4 22
9.1%
8 19
7.9%
2 15
 
6.2%
5 15
 
6.2%
9 11
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 40
16.6%
0 33
13.7%
3 28
11.6%
1 28
11.6%
7 24
10.0%
4 22
9.1%
8 19
7.9%
2 15
 
6.2%
5 15
 
6.2%
9 11
 
4.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-08-07
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-07
2nd row2023-08-07
3rd row2023-08-07
4th row2023-08-07
5th row2023-08-07

Common Values

ValueCountFrequency (%)
2023-08-07 22
100.0%

Length

2023-12-13T04:47:57.680665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:47:58.107716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-07 22
100.0%

Correlations

2023-12-13T04:47:58.176048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종목업체명소재지전화번호
종목1.0000.0000.0000.000
업체명0.0001.0001.0001.000
소재지0.0001.0001.0001.000
전화번호0.0001.0001.0001.000

Missing values

2023-12-13T04:47:55.648014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:47:55.732279image/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

종목업체명소재지전화번호데이터기준일자
0농약판매업반월종묘농약사경기도 안산시 상록구 건건동 645-1031-437-15832023-08-07
1농약판매업대부종묘농약사경기도 안산시 단원구 대남로 7, 1층032-883-81702023-08-07
2농약판매업진흥농약경기도 안산시 단원구 대부중앙로 99(대부북동)032-886-27382023-08-07
3농약판매업그린퍼티라이저㈜경기도 안산시 단원구 고잔로 76, 1009호(고잔동, 영풍빌딩)031-405-76972023-08-07
4농약판매업제일농약사경기도 안산시 단원구 화랑로 98, 바동5호(원곡동)031-402-50512023-08-07
5농약판매업안산농약종묘사경기도 안산시 단원구 다리간2길 8, 101호(고잔동)031-487-97772023-08-07
6농약판매업군자농협 대부경제사업소경기도 안산시 단원구 대부중앙로 141(대부동동)032-886-61002023-08-07
7농약판매업㈜농협케미컬안산공장경기도 안산시 단원구 해안로 152(목내동)031-495-78702023-08-07
8농약판매업가람종묘농약사경기도 안산시 단원구 화정로1길 23, 107호(와동)031-402-31322023-08-07
9농약판매업반월농협 경제사업소경기도 안산시 상록구 해안로 1196031-437-00172023-08-07
종목업체명소재지전화번호데이터기준일자
12농약판매업제일농자재경기도 안산시 단원구 도일로 100(신길동)031-418-68572023-08-07
13농약판매업경인이엔지㈜경기도 안산시 상록구 한양대학로 86, 301호031-485-55222023-08-07
14비료생산업무경바이오경기도 안산시 단원구 산단로 112-15 (원시동)031-494-12372023-08-07
15비료생산업안산시농업기술센터경기도 안산시 단원구 지무길 102 (대부동동, 안산시농업기술센터)031-481-25992023-08-07
16비료생산업안산시음식물폐기물공공자원화시설경기도 안산시 단원구 성곡동 621031-481-27842023-08-07
17비료생산업테콘경기도 안산시 단원구 산단로67번길 79 (목내동)<NA>2023-08-07
18비료수입업무경바이오경기도 안산시 단원구 산단로 112-15 (원시동)031-494-12372023-08-07
19비료수입업그린퍼티라이저㈜경기도 안산시 단원구 고잔로 76, 1009호(고잔동, 영풍빌딩)031-405-76972023-08-07
20비료수입업㈜플란텍경기도 안산시 상록구 광덕1로 355, 209호 (이동, 데코스포텔 40-2)<NA>2023-08-07
21비료수입업캐처스에어경기도 안산시 단원구 신원로 133번길 44, 2동 201호 (성곡동)031-492-74582023-08-07