Overview

Dataset statistics

Number of variables5
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory46.1 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description2023.9.5.기준으로 작성한 인천광역시 측정대행업 현황입니다.항목 : 업체명, 분야, 전화번호, 소재지
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104245&srcSe=7661IVAWM27C61E190

Alerts

번호 has unique valuesUnique
업체명 has unique valuesUnique
전화번호 has unique valuesUnique
사업장소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-28 13:05:42.819663
Analysis finished2024-01-28 13:05:43.271568
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-28T22:05:43.322635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-01-28T22:05:43.422738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

업체명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-28T22:05:43.616224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.7692308
Min length5

Characters and Unicode

Total characters228
Distinct characters80
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row(주)경인환경
2nd row(주)남인천종합환경연구원
3rd row(주)녹색엔지니어링
4th row(주)대하엔지니어링
5th row(주)메트로엔지니어링
ValueCountFrequency (%)
주)경인환경 1
 
3.8%
주)남인천종합환경연구원 1
 
3.8%
클린대기환경(주 1
 
3.8%
주)웨텍 1
 
3.8%
주)미래세상환경연구소 1
 
3.8%
반도환경연구소 1
 
3.8%
주)금영이엔텍 1
 
3.8%
주)비젼이엔티 1
 
3.8%
주)더비씨 1
 
3.8%
주)인천대기측정센터 1
 
3.8%
Other values (16) 16
61.5%
2024-01-28T22:05:43.943846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 22
 
9.6%
) 22
 
9.6%
주 22
 
9.6%
엔 11
 
4.8%
경 10
 
4.4%
환 9
 
3.9%
이 6
 
2.6%
연 6
 
2.6%
지 6
 
2.6%
어 5
 
2.2%
Other values (70) 109
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
78.1%
Open Punctuation 22
 
9.6%
Close Punctuation 22
 
9.6%
Uppercase Letter 3
 
1.3%
Other Punctuation 2
 
0.9%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 22
 
12.4%
엔 11
 
6.2%
경 10
 
5.6%
환 9
 
5.1%
이 6
 
3.4%
연 6
 
3.4%
지 6
 
3.4%
어 5
 
2.8%
구 5
 
2.8%
인 4
 
2.2%
Other values (63) 94
52.8%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
E 1
33.3%
N 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
78.1%
Common 47
 
20.6%
Latin 3
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 22
 
12.4%
엔 11
 
6.2%
경 10
 
5.6%
환 9
 
5.1%
이 6
 
3.4%
연 6
 
3.4%
지 6
 
3.4%
어 5
 
2.8%
구 5
 
2.8%
인 4
 
2.2%
Other values (63) 94
52.8%
Common
ValueCountFrequency (%)
( 22
46.8%
) 22
46.8%
. 2
 
4.3%
1
 
2.1%
Latin
ValueCountFrequency (%)
C 1
33.3%
E 1
33.3%
N 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
78.1%
ASCII 50
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 22
44.0%
) 22
44.0%
. 2
 
4.0%
C 1
 
2.0%
1
 
2.0%
E 1
 
2.0%
N 1
 
2.0%
Hangul
ValueCountFrequency (%)
주 22
 
12.4%
엔 11
 
6.2%
경 10
 
5.6%
환 9
 
5.1%
이 6
 
3.4%
연 6
 
3.4%
지 6
 
3.4%
어 5
 
2.8%
구 5
 
2.8%
인 4
 
2.2%
Other values (63) 94
52.8%

분야
Categorical

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
대기
13 
대기, 수질
4 
대기, 수질, 악취
3 
수질
3 
소음진동
2 

Length

Max length10
Median length2
Mean length3.9615385
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st row대기, 수질
2nd row대기, 수질
3rd row대기, 수질
4th row대기, 수질, 악취
5th row대기

Common Values

ValueCountFrequency (%)
대기 13
50.0%
대기, 수질 4
 
15.4%
대기, 수질, 악취 3
 
11.5%
수질 3
 
11.5%
소음진동 2
 
7.7%
수질, 실내공기질 1
 
3.8%

Length

2024-01-28T22:05:44.406973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:05:44.504086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기 20
54.1%
수질 11
29.7%
악취 3
 
8.1%
소음진동 2
 
5.4%
실내공기질 1
 
2.7%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-28T22:05:44.676628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.038462
Min length12

Characters and Unicode

Total characters313
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row032-422-1143
2nd row032-429-8872
3rd row032-433-2486
4th row032-812-0240
5th row032-578-2022
ValueCountFrequency (%)
032-422-1143 1
 
3.8%
032-429-8872 1
 
3.8%
032-719-8446 1
 
3.8%
032-214-0717 1
 
3.8%
032-818-2300 1
 
3.8%
032-724-9376 1
 
3.8%
032-864-1103 1
 
3.8%
032-425-7737 1
 
3.8%
032-363-3710 1
 
3.8%
032-423-1553 1
 
3.8%
Other values (16) 16
61.5%
2024-01-28T22:05:44.969978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 54
17.3%
- 52
16.6%
3 45
14.4%
0 40
12.8%
4 25
8.0%
7 24
7.7%
1 17
 
5.4%
6 17
 
5.4%
8 15
 
4.8%
5 12
 
3.8%
Other values (2) 12
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.1%
Dash Punctuation 52
 
16.6%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 54
20.8%
3 45
17.3%
0 40
15.4%
4 25
9.6%
7 24
9.2%
1 17
 
6.5%
6 17
 
6.5%
8 15
 
5.8%
5 12
 
4.6%
9 11
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 54
17.3%
- 52
16.6%
3 45
14.4%
0 40
12.8%
4 25
8.0%
7 24
7.7%
1 17
 
5.4%
6 17
 
5.4%
8 15
 
4.8%
5 12
 
3.8%
Other values (2) 12
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 54
17.3%
- 52
16.6%
3 45
14.4%
0 40
12.8%
4 25
8.0%
7 24
7.7%
1 17
 
5.4%
6 17
 
5.4%
8 15
 
4.8%
5 12
 
3.8%
Other values (2) 12
 
3.8%

사업장소재지
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-28T22:05:45.223663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length36
Mean length32.5
Min length20

Characters and Unicode

Total characters845
Distinct characters136
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 구월로8번길 4 (주안동)
2nd row인천광역시 남동구 예술로226번길 9, 701호(구월동, 부강프라자)
3rd row인천광역시 미추홀구 방축로 312, 주안제이타워2차지식산업센터 10층 1010~1012호 (주안동)
4th row인천광역시 남동구 은청로 76 (고잔동,남동공단 75B-2L)
5th row인천광역시 미추홀구 문화로169번길 97, 3층 (주안동)
ValueCountFrequency (%)
인천광역시 25
 
15.7%
남동구 12
 
7.5%
미추홀구 5
 
3.1%
서구 3
 
1.9%
주안동 3
 
1.9%
2층 2
 
1.3%
만수동 2
 
1.3%
부평구 2
 
1.3%
연수구 2
 
1.3%
273 2
 
1.3%
Other values (96) 101
63.5%
2024-01-28T22:05:45.603138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
 
15.7%
동 39
 
4.6%
구 30
 
3.6%
인 28
 
3.3%
광 27
 
3.2%
천 27
 
3.2%
로 26
 
3.1%
시 26
 
3.1%
역 25
 
3.0%
1 25
 
3.0%
Other values (126) 459
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 487
57.6%
Decimal Number 145
 
17.2%
Space Separator 133
 
15.7%
Close Punctuation 23
 
2.7%
Open Punctuation 23
 
2.7%
Other Punctuation 22
 
2.6%
Uppercase Letter 7
 
0.8%
Dash Punctuation 3
 
0.4%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
8.0%
구 30
 
6.2%
인 28
 
5.7%
광 27
 
5.5%
천 27
 
5.5%
로 26
 
5.3%
시 26
 
5.3%
역 25
 
5.1%
남 17
 
3.5%
호 15
 
3.1%
Other values (104) 227
46.6%
Decimal Number
ValueCountFrequency (%)
1 25
17.2%
0 21
14.5%
2 20
13.8%
7 18
12.4%
5 12
8.3%
8 12
8.3%
3 12
8.3%
9 11
7.6%
6 8
 
5.5%
4 6
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
28.6%
C 1
14.3%
I 1
14.3%
N 1
14.3%
L 1
14.3%
T 1
14.3%
Space Separator
ValueCountFrequency (%)
133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 487
57.6%
Common 351
41.5%
Latin 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
8.0%
구 30
 
6.2%
인 28
 
5.7%
광 27
 
5.5%
천 27
 
5.5%
로 26
 
5.3%
시 26
 
5.3%
역 25
 
5.1%
남 17
 
3.5%
호 15
 
3.1%
Other values (104) 227
46.6%
Common
ValueCountFrequency (%)
133
37.9%
1 25
 
7.1%
) 23
 
6.6%
( 23
 
6.6%
, 22
 
6.3%
0 21
 
6.0%
2 20
 
5.7%
7 18
 
5.1%
5 12
 
3.4%
8 12
 
3.4%
Other values (6) 42
 
12.0%
Latin
ValueCountFrequency (%)
B 2
28.6%
C 1
14.3%
I 1
14.3%
N 1
14.3%
L 1
14.3%
T 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 487
57.6%
ASCII 358
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
37.2%
1 25
 
7.0%
) 23
 
6.4%
( 23
 
6.4%
, 22
 
6.1%
0 21
 
5.9%
2 20
 
5.6%
7 18
 
5.0%
5 12
 
3.4%
8 12
 
3.4%
Other values (12) 49
 
13.7%
Hangul
ValueCountFrequency (%)
동 39
 
8.0%
구 30
 
6.2%
인 28
 
5.7%
광 27
 
5.5%
천 27
 
5.5%
로 26
 
5.3%
시 26
 
5.3%
역 25
 
5.1%
남 17
 
3.5%
호 15
 
3.1%
Other values (104) 227
46.6%

Interactions

2024-01-28T22:05:43.053261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:05:45.690173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업체명분야전화번호사업장소재지
번호1.0001.0000.5801.0001.000
업체명1.0001.0001.0001.0001.000
분야0.5801.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
사업장소재지1.0001.0001.0001.0001.000
2024-01-28T22:05:45.777820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분야
번호1.0000.207
분야0.2071.000

Missing values

2024-01-28T22:05:43.153193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:05:43.234786image/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

번호업체명분야전화번호사업장소재지
01(주)경인환경대기, 수질032-422-1143인천광역시 미추홀구 구월로8번길 4 (주안동)
12(주)남인천종합환경연구원대기, 수질032-429-8872인천광역시 남동구 예술로226번길 9, 701호(구월동, 부강프라자)
23(주)녹색엔지니어링대기, 수질032-433-2486인천광역시 미추홀구 방축로 312, 주안제이타워2차지식산업센터 10층 1010~1012호 (주안동)
34(주)대하엔지니어링대기, 수질, 악취032-812-0240인천광역시 남동구 은청로 76 (고잔동,남동공단 75B-2L)
45(주)메트로엔지니어링대기032-578-2022인천광역시 미추홀구 문화로169번길 97, 3층 (주안동)
56(주)세진환경보건연구소수질, 실내공기질032-437-1555인천광역시 남동구 주안로 273, 4층 (간석동,상원빌딩)
67(주)에어보스대기032-562-7585경기도 김포시 양촌읍 삼도공단로 70
78(주)엔.에스.브이소음진동032-816-7992인천광역시 남동구 앵고개로 547 (고잔동)
89(주)제일기연대기032-466-1977인천광역시 남동구 담방로 72, 2층 (만수동)
910(주)제일엔비텍대기, 수질, 악취032-463-0977인천광역시 남동구 장승로 65 (만수동)
번호업체명분야전화번호사업장소재지
1617아이비환경(주)대기032-433-2613인천광역시 남동구 호구포로 189, 남동테크노타워지식산업센터 908호 (고잔동)
1718(주)인천대기측정센터대기032-423-1553인천광역시 남동구 주안로 273, 301호 (간석동)
1819(주)더비씨대기, 수질032-363-3710인천광역시 부평구 부평대로 301, 남광센트렉스 818-1호
1920(주)비젼이엔티대기032-425-7737인천광역시 미추홀구 구월로 27, 5층(주안동)
2021(주)금영이엔텍대기032-864-1103인천광역시 남동구 배려터로 7(수산동)
2122반도환경연구소대기032-724-9376인천광역시 부평구 백범로577번길 20, 경인센타 8층 841호(십정동)
2223(주)미래세상환경연구소대기, 수질, 악취032-818-2300인천광역시 남동구 은봉로 52, NIC지식산업센터 9층 907~909호(논현동)
2324(주)웨텍수질032-214-0717인천광역시 남동구 용천로 3, 뉴인천빌딩 2층 201호(구월동)
2425클린대기환경(주)대기032-719-8446인천광역시 서구 백범로 611, 아르테크주안 8층 803-807호(가좌동)
2526(주)서강엔지니어링대기032-466-3418인천광역시 서구 건지로97번길 51, 2층(석남동)