Overview

Dataset statistics

Number of variables4
Number of observations80
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory33.6 B

Variable types

Text3
Categorical1

Dataset

Description전라북도 환경산업체 현황정보로, 회사명, 소재지, 연락처, 분야 정보를 제공하고 있습니다.
Author전라북도
URLhttps://www.data.go.kr/data/3081536/fileData.do

Alerts

연락처 has 1 (1.2%) missing valuesMissing
회사명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:34:28.754903
Analysis finished2023-12-12 00:34:29.219673
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회사명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T09:34:29.421383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length7.55
Min length3

Characters and Unicode

Total characters604
Distinct characters141
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)100.0%

Sample

1st row㈜세기종합환경
2nd row바다정수산업㈜
3rd row(유)지구엔비텍
4th row㈜청송이앤티
5th row(주)이앤에스테크
ValueCountFrequency (%)
유한회사 2
 
2.3%
주식회사 2
 
2.3%
㈜웨니테크 1
 
1.1%
㈜공유 1
 
1.1%
유)이알엠컨설턴트 1
 
1.1%
유)반석환경 1
 
1.1%
유)위더스환경 1
 
1.1%
유)이룸환경산업 1
 
1.1%
유)다온산업 1
 
1.1%
유)개미환경위생 1
 
1.1%
Other values (75) 75
86.2%
2023-12-12T09:34:29.845460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 39
 
6.5%
( 39
 
6.5%
㈜ 33
 
5.5%
유 33
 
5.5%
경 30
 
5.0%
환 30
 
5.0%
이 22
 
3.6%
엔 16
 
2.6%
주 11
 
1.8%
산 11
 
1.8%
Other values (131) 340
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 486
80.5%
Close Punctuation 39
 
6.5%
Open Punctuation 39
 
6.5%
Other Symbol 33
 
5.5%
Space Separator 7
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 33
 
6.8%
경 30
 
6.2%
환 30
 
6.2%
이 22
 
4.5%
엔 16
 
3.3%
주 11
 
2.3%
산 11
 
2.3%
크 9
 
1.9%
업 9
 
1.9%
건 9
 
1.9%
Other values (127) 306
63.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 33
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 519
85.9%
Common 85
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 33
 
6.4%
유 33
 
6.4%
경 30
 
5.8%
환 30
 
5.8%
이 22
 
4.2%
엔 16
 
3.1%
주 11
 
2.1%
산 11
 
2.1%
크 9
 
1.7%
업 9
 
1.7%
Other values (128) 315
60.7%
Common
ValueCountFrequency (%)
) 39
45.9%
( 39
45.9%
7
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 486
80.5%
ASCII 85
 
14.1%
None 33
 
5.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 39
45.9%
( 39
45.9%
7
 
8.2%
None
ValueCountFrequency (%)
㈜ 33
100.0%
Hangul
ValueCountFrequency (%)
유 33
 
6.8%
경 30
 
6.2%
환 30
 
6.2%
이 22
 
4.5%
엔 16
 
3.3%
주 11
 
2.3%
산 11
 
2.3%
크 9
 
1.9%
업 9
 
1.9%
건 9
 
1.9%
Other values (127) 306
63.0%

소재지
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-12T09:34:30.183526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length19.475
Min length11

Characters and Unicode

Total characters1558
Distinct characters157
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

Unique80 ?
Unique (%)100.0%

Sample

1st row전주시 덕진구 팔과정로20, 403-4호
2nd row진안군 진안읍 연장리 1781
3rd row전주시 덕진구 비석날로 99 (팔복동2가)
4th row전주시 덕진구 동부대로 727 (우아동3가)
5th row전주시 완산구 서곡4길14, 2층
ValueCountFrequency (%)
전주시 36
 
11.1%
덕진구 23
 
7.1%
익산시 16
 
4.9%
군산시 14
 
4.3%
완산구 13
 
4.0%
2층 5
 
1.5%
완주군 4
 
1.2%
우아동3가 3
 
0.9%
오공로 3
 
0.9%
남원시 2
 
0.6%
Other values (193) 205
63.3%
2023-12-12T09:34:30.631346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
244
 
15.7%
시 72
 
4.6%
1 66
 
4.2%
산 56
 
3.6%
동 51
 
3.3%
로 48
 
3.1%
2 48
 
3.1%
주 42
 
2.7%
길 41
 
2.6%
( 39
 
2.5%
Other values (147) 851
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 862
55.3%
Decimal Number 322
 
20.7%
Space Separator 244
 
15.7%
Open Punctuation 39
 
2.5%
Close Punctuation 39
 
2.5%
Other Punctuation 28
 
1.8%
Dash Punctuation 22
 
1.4%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 72
 
8.4%
산 56
 
6.5%
동 51
 
5.9%
로 48
 
5.6%
주 42
 
4.9%
길 41
 
4.8%
전 38
 
4.4%
구 37
 
4.3%
진 28
 
3.2%
덕 26
 
3.0%
Other values (130) 423
49.1%
Decimal Number
ValueCountFrequency (%)
1 66
20.5%
2 48
14.9%
3 39
12.1%
4 35
10.9%
5 31
9.6%
0 29
9.0%
7 24
 
7.5%
8 21
 
6.5%
9 19
 
5.9%
6 10
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
244
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 862
55.3%
Common 694
44.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 72
 
8.4%
산 56
 
6.5%
동 51
 
5.9%
로 48
 
5.6%
주 42
 
4.9%
길 41
 
4.8%
전 38
 
4.4%
구 37
 
4.3%
진 28
 
3.2%
덕 26
 
3.0%
Other values (130) 423
49.1%
Common
ValueCountFrequency (%)
244
35.2%
1 66
 
9.5%
2 48
 
6.9%
( 39
 
5.6%
) 39
 
5.6%
3 39
 
5.6%
4 35
 
5.0%
5 31
 
4.5%
0 29
 
4.2%
, 28
 
4.0%
Other values (5) 96
 
13.8%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 862
55.3%
ASCII 696
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
244
35.1%
1 66
 
9.5%
2 48
 
6.9%
( 39
 
5.6%
) 39
 
5.6%
3 39
 
5.6%
4 35
 
5.0%
5 31
 
4.5%
0 29
 
4.2%
, 28
 
4.0%
Other values (7) 98
14.1%
Hangul
ValueCountFrequency (%)
시 72
 
8.4%
산 56
 
6.5%
동 51
 
5.9%
로 48
 
5.6%
주 42
 
4.9%
길 41
 
4.8%
전 38
 
4.4%
구 37
 
4.3%
진 28
 
3.2%
덕 26
 
3.0%
Other values (130) 423
49.1%

연락처
Text

MISSING 

Distinct78
Distinct (%)98.7%
Missing1
Missing (%)1.2%
Memory size772.0 B
2023-12-12T09:34:30.871073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters948
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

Unique77 ?
Unique (%)97.5%

Sample

1st row063-214-3833
2nd row063-242-4690
3rd row063-211-8001
4th row063-242-4690
5th row063-273-5251
ValueCountFrequency (%)
063-242-4690 2
 
2.5%
063-526-1013 1
 
1.3%
063-212-8878 1
 
1.3%
063-272-5253 1
 
1.3%
063-223-8664 1
 
1.3%
063-451-0533 1
 
1.3%
063-226-4538 1
 
1.3%
063-544-5617 1
 
1.3%
063-253-0762 1
 
1.3%
063-471-9599 1
 
1.3%
Other values (68) 68
86.1%
2023-12-12T09:34:31.182468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 158
16.7%
3 136
14.3%
6 130
13.7%
0 127
13.4%
2 102
10.8%
5 62
 
6.5%
1 60
 
6.3%
4 58
 
6.1%
8 53
 
5.6%
7 35
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 790
83.3%
Dash Punctuation 158
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 136
17.2%
6 130
16.5%
0 127
16.1%
2 102
12.9%
5 62
7.8%
1 60
7.6%
4 58
7.3%
8 53
 
6.7%
7 35
 
4.4%
9 27
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 948
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 158
16.7%
3 136
14.3%
6 130
13.7%
0 127
13.4%
2 102
10.8%
5 62
 
6.5%
1 60
 
6.3%
4 58
 
6.1%
8 53
 
5.6%
7 35
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 948
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 158
16.7%
3 136
14.3%
6 130
13.7%
0 127
13.4%
2 102
10.8%
5 62
 
6.5%
1 60
 
6.3%
4 58
 
6.1%
8 53
 
5.6%
7 35
 
3.7%

분야
Categorical

Distinct23
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size772.0 B
전문공사(수질)
21 
전문공사(대기)
11 
관리대행(수질)
8 
관리대행(대기), 측정대행(대기)
8 
전문공사(대기,수질)
4 
Other values (18)
28 

Length

Max length36
Median length8
Mean length10.975
Min length4

Unique

Unique13 ?
Unique (%)16.2%

Sample

1st row전문공사(수질)
2nd row전문공사(수질)
3rd row전문공사(대기, 수질), 관리대행(대기), 측정대행(대기, 수질)
4th row전문공사(대기)
5th row전문공사(대기,수질)

Common Values

ValueCountFrequency (%)
전문공사(수질) 21
26.2%
전문공사(대기) 11
13.8%
관리대행(수질) 8
 
10.0%
관리대행(대기), 측정대행(대기) 8
 
10.0%
전문공사(대기,수질) 4
 
5.0%
전문공사(수질), 관리대행(수질) 4
 
5.0%
환경컨설팅 4
 
5.0%
측정대행(수질) 3
 
3.8%
측정대행(실내공기) 2
 
2.5%
폐수처리 2
 
2.5%
Other values (13) 13
16.2%

Length

2023-12-12T09:34:31.307297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전문공사(수질 28
25.7%
관리대행(수질 14
12.8%
전문공사(대기 13
11.9%
측정대행(대기 12
11.0%
관리대행(대기 11
 
10.1%
환경컨설팅 8
 
7.3%
전문공사(대기,수질 5
 
4.6%
측정대행(수질 5
 
4.6%
폐수처리 3
 
2.8%
수질 3
 
2.8%
Other values (6) 7
 
6.4%

Correlations

2023-12-12T09:34:31.382466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회사명소재지연락처분야
회사명1.0001.0001.0001.000
소재지1.0001.0001.0001.000
연락처1.0001.0001.0000.998
분야1.0001.0000.9981.000

Missing values

2023-12-12T09:34:29.096212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:34:29.186635image/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

회사명소재지연락처분야
0㈜세기종합환경전주시 덕진구 팔과정로20, 403-4호063-214-3833전문공사(수질)
1바다정수산업㈜진안군 진안읍 연장리 1781063-242-4690전문공사(수질)
2(유)지구엔비텍전주시 덕진구 비석날로 99 (팔복동2가)063-211-8001전문공사(대기, 수질), 관리대행(대기), 측정대행(대기, 수질)
3㈜청송이앤티전주시 덕진구 동부대로 727 (우아동3가)063-242-4690전문공사(대기)
4(주)이앤에스테크전주시 완산구 서곡4길14, 2층063-273-5251전문공사(대기,수질)
5㈜광산테크익산시 석암로13길 71 (팔봉동)063-835-2823전문공사(대기)
6(유)은하환경산업전주시 덕진구 진버들3길 21-12 (인후동1가)063-245-7234전문공사(수질)
7광진환경㈜전주시 덕진구 호반3길 7 (덕진동2가)063-254-8150전문공사(수질), 관리대행(수질)
8(유)한백종합건설전주시 덕진구 도당산3길 8-4 (우아동3가)063-242-4130전문공사(수질)
9(유)호성엔지니어링전주시 덕진구 견훤로 508 (우아동3가)063-244-8866전문공사(수질)
회사명소재지연락처분야
70㈜서진환경기술익산시 동서로45길 17-4063-833-6565관리대행(수질)
71케이에스환경(주)군산시 동장산로 119, 2층063-462-3032관리대행(대기), 측정대행(대기)
72담아 유한회사완주군 이서면 출판로 46-10, 3층 302호063-251-2218측정대행(대기)
73(유)이앤지컨설턴트전주시 덕진구 우아5길 9-6, 1층(우아동3가)063-242-5050환경컨설팅
74㈜에코환경정읍시 서부산업도로 317063-537-8553전문공사(대기)
75(유)코리아베스트환경완주군 봉동읍 테크노벨리로 485, B동063-261-4742전문공사(대기)
76소리종합건설㈜군산시 옥서면 선연길 150, 2동 1층063-467-1036전문공사(대기)
77유수종합환경㈜익산시 서동로589-14(팔봉동)063-832-0634폐수처리
78㈜그린원텍군산시 외항로 274(소룡동)063-467-8918폐수처리, 재활용
79㈜엔아이티군산시 서해로 627(소룡동)063-468-4141폐수처리