Overview

Dataset statistics

Number of variables9
Number of observations32
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory76.0 B

Variable types

Categorical1
Text3
Boolean5

Dataset

Description울산광역시의 환경관련업체(환경전문공사업소 및 측정대행업소) 정보(업소명, 도로명주소 등)를 제공하고 있습니다.
Author울산광역시
URLhttps://www.data.go.kr/data/15020214/fileData.do

Alerts

실내공기질분야 has constant value ""Constant
전화번호 has 1 (3.1%) missing valuesMissing

Reproduction

Analysis started2024-03-14 16:00:44.140527
Analysis finished2024-03-14 16:00:45.391484
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size384.0 B
환경전문공사업
21 
측정대행업
11 

Length

Max length7
Median length7
Mean length6.3125
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경전문공사업 21
65.6%
측정대행업 11
34.4%

Length

2024-03-15T01:00:45.644054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T01:00:46.037725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경전문공사업 21
65.6%
측정대행업 11
34.4%

업소명
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T01:00:46.825368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length9
Mean length6.625
Min length3

Characters and Unicode

Total characters212
Distinct characters87
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

Unique30 ?
Unique (%)93.8%

Sample

1st row고려아연㈜
2nd row대덕테크㈜
3rd row㈜정일플랜트
4th row큐바이오텍㈜
5th row㈜동명엔텍
ValueCountFrequency (%)
태화환경㈜ 2
 
6.1%
㈜밸티 1
 
3.0%
재)한국화학융합시험연구원 1
 
3.0%
㈜윈테크 1
 
3.0%
소음문제연구소 1
 
3.0%
주)보아스환경기술 1
 
3.0%
㈜미래숲환경연구소 1
 
3.0%
㈜처용환경기술 1
 
3.0%
미래환경기술㈜ 1
 
3.0%
태화환경기술㈜ 1
 
3.0%
Other values (22) 22
66.7%
2024-03-15T01:00:48.345354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 24
 
11.3%
경 10
 
4.7%
환 9
 
4.2%
이 9
 
4.2%
엔 8
 
3.8%
씨 6
 
2.8%
( 6
 
2.8%
) 6
 
2.8%
술 5
 
2.4%
기 5
 
2.4%
Other values (77) 124
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 175
82.5%
Other Symbol 24
 
11.3%
Open Punctuation 6
 
2.8%
Close Punctuation 6
 
2.8%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 10
 
5.7%
환 9
 
5.1%
이 9
 
5.1%
엔 8
 
4.6%
씨 6
 
3.4%
술 5
 
2.9%
기 5
 
2.9%
주 5
 
2.9%
연 5
 
2.9%
화 4
 
2.3%
Other values (73) 109
62.3%
Other Symbol
ValueCountFrequency (%)
㈜ 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 199
93.9%
Common 13
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 24
 
12.1%
경 10
 
5.0%
환 9
 
4.5%
이 9
 
4.5%
엔 8
 
4.0%
씨 6
 
3.0%
술 5
 
2.5%
기 5
 
2.5%
주 5
 
2.5%
연 5
 
2.5%
Other values (74) 113
56.8%
Common
ValueCountFrequency (%)
( 6
46.2%
) 6
46.2%
1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 175
82.5%
None 24
 
11.3%
ASCII 13
 
6.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 24
100.0%
Hangul
ValueCountFrequency (%)
경 10
 
5.7%
환 9
 
5.1%
이 9
 
5.1%
엔 8
 
4.6%
씨 6
 
3.4%
술 5
 
2.9%
기 5
 
2.9%
주 5
 
2.9%
연 5
 
2.9%
화 4
 
2.3%
Other values (73) 109
62.3%
ASCII
ValueCountFrequency (%)
( 6
46.2%
) 6
46.2%
1
 
7.7%

도로명 소재지
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size384.0 B
2024-03-15T01:00:49.316457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31
Mean length25.3125
Min length20

Characters and Unicode

Total characters810
Distinct characters86
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

Unique28 ?
Unique (%)87.5%

Sample

1st row울산광역시 울주군 온산읍 이진로 139
2nd row울산광역시 울주군 청량읍 화창9길 21
3rd row울산광역시 남구 테크노산업로29번길 39, B동 202호(두왕동)
4th row울산광역시 남구 용잠로74번길 12(부곡동)
5th row울산광역시 울주군 웅촌면 곡천동문길 26
ValueCountFrequency (%)
울산광역시 32
21.3%
남구 16
 
10.7%
울주군 13
 
8.7%
테크노산업로29번길 4
 
2.7%
테크노산업로81번길 3
 
2.0%
청량읍 3
 
2.0%
웅촌면 3
 
2.0%
온산읍 2
 
1.3%
언양읍 2
 
1.3%
두왕로 2
 
1.3%
Other values (65) 70
46.7%
2024-03-15T01:00:50.738085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
14.6%
산 51
 
6.3%
울 45
 
5.6%
광 32
 
4.0%
역 32
 
4.0%
시 32
 
4.0%
2 27
 
3.3%
길 25
 
3.1%
로 22
 
2.7%
동 21
 
2.6%
Other values (76) 405
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 506
62.5%
Decimal Number 130
 
16.0%
Space Separator 118
 
14.6%
Open Punctuation 19
 
2.3%
Close Punctuation 19
 
2.3%
Dash Punctuation 9
 
1.1%
Other Punctuation 8
 
1.0%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 51
 
10.1%
울 45
 
8.9%
광 32
 
6.3%
역 32
 
6.3%
시 32
 
6.3%
길 25
 
4.9%
로 22
 
4.3%
동 21
 
4.2%
구 19
 
3.8%
남 18
 
3.6%
Other values (60) 209
41.3%
Decimal Number
ValueCountFrequency (%)
2 27
20.8%
1 21
16.2%
3 16
12.3%
9 16
12.3%
4 13
10.0%
5 11
8.5%
8 10
 
7.7%
6 6
 
4.6%
0 6
 
4.6%
7 4
 
3.1%
Space Separator
ValueCountFrequency (%)
118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 506
62.5%
Common 303
37.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 51
 
10.1%
울 45
 
8.9%
광 32
 
6.3%
역 32
 
6.3%
시 32
 
6.3%
길 25
 
4.9%
로 22
 
4.3%
동 21
 
4.2%
구 19
 
3.8%
남 18
 
3.6%
Other values (60) 209
41.3%
Common
ValueCountFrequency (%)
118
38.9%
2 27
 
8.9%
1 21
 
6.9%
( 19
 
6.3%
) 19
 
6.3%
3 16
 
5.3%
9 16
 
5.3%
4 13
 
4.3%
5 11
 
3.6%
8 10
 
3.3%
Other values (5) 33
 
10.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 506
62.5%
ASCII 304
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
38.8%
2 27
 
8.9%
1 21
 
6.9%
( 19
 
6.2%
) 19
 
6.2%
3 16
 
5.3%
9 16
 
5.3%
4 13
 
4.3%
5 11
 
3.6%
8 10
 
3.3%
Other values (6) 34
 
11.2%
Hangul
ValueCountFrequency (%)
산 51
 
10.1%
울 45
 
8.9%
광 32
 
6.3%
역 32
 
6.3%
시 32
 
6.3%
길 25
 
4.9%
로 22
 
4.3%
동 21
 
4.2%
구 19
 
3.8%
남 18
 
3.6%
Other values (60) 209
41.3%

전화번호
Text

MISSING 

Distinct30
Distinct (%)96.8%
Missing1
Missing (%)3.1%
Memory size384.0 B
2024-03-15T01:00:51.556100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique29 ?
Unique (%)93.5%

Sample

1st row052-231-6091
2nd row052-273-3700
3rd row052-265-5851
4th row052-240-1331
5th row052-225-8111
ValueCountFrequency (%)
052-273-3154 2
 
6.5%
052-287-9703 1
 
3.2%
052-264-1314 1
 
3.2%
052-707-2255 1
 
3.2%
052-265-2112 1
 
3.2%
052-700-6150 1
 
3.2%
052-260-7799 1
 
3.2%
052-716-2700 1
 
3.2%
052-713-5566 1
 
3.2%
052-268-6664 1
 
3.2%
Other values (20) 20
64.5%
2024-03-15T01:00:52.491133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 70
18.8%
- 62
16.7%
0 55
14.8%
5 51
13.7%
7 28
 
7.5%
1 25
 
6.7%
6 23
 
6.2%
3 19
 
5.1%
4 16
 
4.3%
9 14
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 70
22.6%
0 55
17.7%
5 51
16.5%
7 28
 
9.0%
1 25
 
8.1%
6 23
 
7.4%
3 19
 
6.1%
4 16
 
5.2%
9 14
 
4.5%
8 9
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 70
18.8%
- 62
16.7%
0 55
14.8%
5 51
13.7%
7 28
 
7.5%
1 25
 
6.7%
6 23
 
6.2%
3 19
 
5.1%
4 16
 
4.3%
9 14
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 70
18.8%
- 62
16.7%
0 55
14.8%
5 51
13.7%
7 28
 
7.5%
1 25
 
6.7%
6 23
 
6.2%
3 19
 
5.1%
4 16
 
4.3%
9 14
 
3.8%

대기분야
Boolean

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size160.0 B
True
26 
False
6 
ValueCountFrequency (%)
True 26
81.2%
False 6
 
18.8%
2024-03-15T01:00:52.777461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수질분야
Boolean

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size160.0 B
False
23 
True
9 
ValueCountFrequency (%)
False 23
71.9%
True 9
 
28.1%
2024-03-15T01:00:52.951211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

소음진동분야
Boolean

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size160.0 B
False
28 
True
4 
ValueCountFrequency (%)
False 28
87.5%
True 4
 
12.5%
2024-03-15T01:00:53.313648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

악취분야
Boolean

Distinct2
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size160.0 B
False
28 
True
4 
ValueCountFrequency (%)
False 28
87.5%
True 4
 
12.5%
2024-03-15T01:00:53.729583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

실내공기질분야
Boolean

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size160.0 B
False
32 
ValueCountFrequency (%)
False 32
100.0%
2024-03-15T01:00:54.113903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T01:00:54.317206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업소명도로명 소재지전화번호대기분야수질분야소음진동분야악취분야
구분1.0000.0000.6340.0000.2610.0000.5750.575
업소명0.0001.0000.9741.0000.0000.0000.0000.000
도로명 소재지0.6340.9741.0000.9720.0000.0001.0000.000
전화번호0.0001.0000.9721.0000.0000.0000.0000.000
대기분야0.2610.0000.0000.0001.0000.6800.0660.000
수질분야0.0000.0000.0000.0000.6801.0000.0000.000
소음진동분야0.5750.0001.0000.0000.0660.0001.0000.351
악취분야0.5750.0000.0000.0000.0000.0000.3511.000
2024-03-15T01:00:54.631080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수질분야악취분야구분대기분야소음진동분야
수질분야1.0000.0000.0000.4750.000
악취분야0.0001.0000.3890.0000.226
구분0.0000.3891.0000.1650.389
대기분야0.4750.0000.1651.0000.027
소음진동분야0.0000.2260.3890.0271.000
2024-03-15T01:00:54.972756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분대기분야수질분야소음진동분야악취분야
구분1.0000.1650.0000.3890.389
대기분야0.1651.0000.4750.0270.000
수질분야0.0000.4751.0000.0000.000
소음진동분야0.3890.0270.0001.0000.226
악취분야0.3890.0000.0000.2261.000

Missing values

2024-03-15T01:00:44.790274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:00:45.205183image/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

구분업소명도로명 소재지전화번호대기분야수질분야소음진동분야악취분야실내공기질분야
0환경전문공사업고려아연㈜울산광역시 울주군 온산읍 이진로 139052-231-6091YNNNN
1환경전문공사업대덕테크㈜울산광역시 울주군 청량읍 화창9길 21052-273-3700YNNNN
2환경전문공사업㈜정일플랜트울산광역시 남구 테크노산업로29번길 39, B동 202호(두왕동)052-265-5851YNNNN
3환경전문공사업큐바이오텍㈜울산광역시 남구 용잠로74번길 12(부곡동)052-240-1331YYNNN
4환경전문공사업㈜동명엔텍울산광역시 울주군 웅촌면 곡천동문길 26052-225-8111YNNNN
5환경전문공사업㈜우창이엔씨울산광역시 북구 중산산업2길 42(중산동)052-292-0951YNNNN
6환경전문공사업태화환경㈜울산광역시 남구 두왕로 34번길 14(선암동)052-273-3154YNNNN
7환경전문공사업에이비이씨산업㈜울산광역시 울주군 언양읍 반천강변길 123052-255-9037YNNNN
8환경전문공사업㈜씨앤지테크울산광역시 울주군 웅촌면 고연공단2길 99052-221-0058YNNNN
9환경전문공사업㈜엔코아네트웍스울산광역시 남구 테크노산업로81번길 25(두왕동)052-237-6120YYNNN
구분업소명도로명 소재지전화번호대기분야수질분야소음진동분야악취분야실내공기질분야
22측정대행업금호엔테크㈜울산광역시 남구 테크노산업로29번길39, 1, 2층(두왕동)052-268-6664YNYNN
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