Overview

Dataset statistics

Number of variables5
Number of observations74
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory42.8 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description2023.3.2.기준으로 작성한 인천광역시 환경전문공사업 현황입니다.항목 : 업체명, 분야, 전화번호, 소재지
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104244&srcSe=7661IVAWM27C61E190

Alerts

번호 has unique valuesUnique
업체명 has unique valuesUnique
전화번호 has unique valuesUnique
영업소소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:16:40.607371
Analysis finished2024-01-28 12:16:41.077910
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.5
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-01-28T21:16:41.157437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.65
Q119.25
median37.5
Q355.75
95-th percentile70.35
Maximum74
Range73
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation21.505813
Coefficient of variation (CV)0.57348835
Kurtosis-1.2
Mean37.5
Median Absolute Deviation (MAD)18.5
Skewness0
Sum2775
Variance462.5
MonotonicityStrictly increasing
2024-01-28T21:16:41.280058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
57 1
 
1.4%
55 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
Other values (64) 64
86.5%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
74 1
1.4%
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%

업체명
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-01-28T21:16:41.505093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.8648649
Min length4

Characters and Unicode

Total characters582
Distinct characters126
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

Unique74 ?
Unique (%)100.0%

Sample

1st row(주)광일
2nd row(주)그린이엔테크
3rd row(주)극동이씨티
4th row(주)금영이엔텍
5th row(주)녹색엔지니어링
ValueCountFrequency (%)
주)광일 1
 
1.4%
주)삼인비엔에프 1
 
1.4%
주)태진기연 1
 
1.4%
㈜알파환경 1
 
1.4%
주)태은 1
 
1.4%
한국화학장치(주 1
 
1.4%
하나산업 1
 
1.4%
진흥기업(주 1
 
1.4%
주)이앤비코리아 1
 
1.4%
에프케이엔지니어링(주 1
 
1.4%
Other values (64) 64
86.5%
2024-01-28T21:16:41.853697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 64
 
11.0%
) 64
 
11.0%
64
 
11.0%
31
 
5.3%
24
 
4.1%
15
 
2.6%
10
 
1.7%
10
 
1.7%
10
 
1.7%
10
 
1.7%
Other values (116) 280
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 441
75.8%
Open Punctuation 64
 
11.0%
Close Punctuation 64
 
11.0%
Space Separator 7
 
1.2%
Other Symbol 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
 
14.5%
31
 
7.0%
24
 
5.4%
15
 
3.4%
10
 
2.3%
10
 
2.3%
10
 
2.3%
10
 
2.3%
9
 
2.0%
9
 
2.0%
Other values (112) 249
56.5%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 447
76.8%
Common 135
 
23.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
 
14.3%
31
 
6.9%
24
 
5.4%
15
 
3.4%
10
 
2.2%
10
 
2.2%
10
 
2.2%
10
 
2.2%
9
 
2.0%
9
 
2.0%
Other values (113) 255
57.0%
Common
ValueCountFrequency (%)
( 64
47.4%
) 64
47.4%
7
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 441
75.8%
ASCII 135
 
23.2%
None 6
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 64
47.4%
) 64
47.4%
7
 
5.2%
Hangul
ValueCountFrequency (%)
64
 
14.5%
31
 
7.0%
24
 
5.4%
15
 
3.4%
10
 
2.3%
10
 
2.3%
10
 
2.3%
10
 
2.3%
9
 
2.0%
9
 
2.0%
Other values (112) 249
56.5%
None
ValueCountFrequency (%)
6
100.0%

분야
Categorical

Distinct4
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
대기
36 
수질
18 
대기, 수질
16 
소음진동

Length

Max length6
Median length2
Mean length2.972973
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기 36
48.6%
수질 18
24.3%
대기, 수질 16
21.6%
소음진동 4
 
5.4%

Length

2024-01-28T21:16:41.979289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:16:42.079654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기 52
57.8%
수질 34
37.8%
소음진동 4
 
4.4%

전화번호
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-01-28T21:16:42.282776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.081081
Min length12

Characters and Unicode

Total characters894
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

Unique74 ?
Unique (%)100.0%

Sample

1st row032-589-4199
2nd row032-822-7321
3rd row032-578-2175
4th row032-864-1103
5th row032-433-2486
ValueCountFrequency (%)
032-589-4199 1
 
1.4%
032-472-3457 1
 
1.4%
032-863-0061 1
 
1.4%
032-584-8880 1
 
1.4%
032-572-4390 1
 
1.4%
032-579-3311 1
 
1.4%
032-589-8476 1
 
1.4%
032-432-0658 1
 
1.4%
032-822-8700 1
 
1.4%
032-569-2511 1
 
1.4%
Other values (64) 64
86.5%
2024-01-28T21:16:42.598579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 148
16.6%
0 138
15.4%
2 132
14.8%
3 114
12.8%
5 66
7.4%
1 57
 
6.4%
7 55
 
6.2%
4 51
 
5.7%
8 50
 
5.6%
6 50
 
5.6%
Other values (2) 33
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 743
83.1%
Dash Punctuation 148
 
16.6%
Space Separator 3
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 138
18.6%
2 132
17.8%
3 114
15.3%
5 66
8.9%
1 57
7.7%
7 55
 
7.4%
4 51
 
6.9%
8 50
 
6.7%
6 50
 
6.7%
9 30
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 148
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 894
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 148
16.6%
0 138
15.4%
2 132
14.8%
3 114
12.8%
5 66
7.4%
1 57
 
6.4%
7 55
 
6.2%
4 51
 
5.7%
8 50
 
5.6%
6 50
 
5.6%
Other values (2) 33
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 894
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 148
16.6%
0 138
15.4%
2 132
14.8%
3 114
12.8%
5 66
7.4%
1 57
 
6.4%
7 55
 
6.2%
4 51
 
5.7%
8 50
 
5.6%
6 50
 
5.6%
Other values (2) 33
 
3.7%

영업소소재지
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-01-28T21:16:42.812260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length42
Mean length33.797297
Min length15

Characters and Unicode

Total characters2501
Distinct characters187
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

Unique74 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 방축로 312, 주안제이타워2차지식산업센터 706호 (주안동)
2nd row인천광역시 남동구 호구포로 189, 남동테크노타워지식산업센터 909,910호 (고잔동)
3rd row인천광역시 서구 건지로250번길 76 (가좌동)
4th row인천광역시 남동구 배려터로 7
5th row인천광역시 미추홀구 방축로 312, 주안제이타워2차지식산업센터 10층 1010~1012호 (주안동)
ValueCountFrequency (%)
인천광역시 74
 
16.2%
남동구 27
 
5.9%
서구 22
 
4.8%
2층 7
 
1.5%
계양구 6
 
1.3%
미추홀구 5
 
1.1%
부평구 5
 
1.1%
논현동 5
 
1.1%
연수구 5
 
1.1%
가좌동 5
 
1.1%
Other values (221) 295
64.7%
2024-01-28T21:16:43.152597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
395
 
15.8%
132
 
5.3%
85
 
3.4%
80
 
3.2%
77
 
3.1%
75
 
3.0%
75
 
3.0%
75
 
3.0%
1 75
 
3.0%
74
 
3.0%
Other values (177) 1358
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1454
58.1%
Decimal Number 409
 
16.4%
Space Separator 395
 
15.8%
Open Punctuation 72
 
2.9%
Close Punctuation 72
 
2.9%
Other Punctuation 61
 
2.4%
Uppercase Letter 30
 
1.2%
Dash Punctuation 7
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
132
 
9.1%
85
 
5.8%
80
 
5.5%
77
 
5.3%
75
 
5.2%
75
 
5.2%
75
 
5.2%
74
 
5.1%
43
 
3.0%
40
 
2.8%
Other values (149) 698
48.0%
Uppercase Letter
ValueCountFrequency (%)
A 7
23.3%
C 5
16.7%
I 5
16.7%
T 3
10.0%
N 2
 
6.7%
B 2
 
6.7%
M 1
 
3.3%
S 1
 
3.3%
D 1
 
3.3%
Y 1
 
3.3%
Other values (2) 2
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 75
18.3%
3 62
15.2%
2 57
13.9%
0 52
12.7%
5 32
7.8%
7 28
 
6.8%
6 28
 
6.8%
9 27
 
6.6%
4 27
 
6.6%
8 21
 
5.1%
Space Separator
ValueCountFrequency (%)
395
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1454
58.1%
Common 1017
40.7%
Latin 30
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
132
 
9.1%
85
 
5.8%
80
 
5.5%
77
 
5.3%
75
 
5.2%
75
 
5.2%
75
 
5.2%
74
 
5.1%
43
 
3.0%
40
 
2.8%
Other values (149) 698
48.0%
Common
ValueCountFrequency (%)
395
38.8%
1 75
 
7.4%
( 72
 
7.1%
) 72
 
7.1%
3 62
 
6.1%
, 61
 
6.0%
2 57
 
5.6%
0 52
 
5.1%
5 32
 
3.1%
7 28
 
2.8%
Other values (6) 111
 
10.9%
Latin
ValueCountFrequency (%)
A 7
23.3%
C 5
16.7%
I 5
16.7%
T 3
10.0%
N 2
 
6.7%
B 2
 
6.7%
M 1
 
3.3%
S 1
 
3.3%
D 1
 
3.3%
Y 1
 
3.3%
Other values (2) 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1454
58.1%
ASCII 1047
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
395
37.7%
1 75
 
7.2%
( 72
 
6.9%
) 72
 
6.9%
3 62
 
5.9%
, 61
 
5.8%
2 57
 
5.4%
0 52
 
5.0%
5 32
 
3.1%
7 28
 
2.7%
Other values (18) 141
 
13.5%
Hangul
ValueCountFrequency (%)
132
 
9.1%
85
 
5.8%
80
 
5.5%
77
 
5.3%
75
 
5.2%
75
 
5.2%
75
 
5.2%
74
 
5.1%
43
 
3.0%
40
 
2.8%
Other values (149) 698
48.0%

Interactions

2024-01-28T21:16:40.862297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:16:43.234470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업체명분야전화번호영업소소재지
번호1.0001.0000.1621.0001.000
업체명1.0001.0001.0001.0001.000
분야0.1621.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
영업소소재지1.0001.0001.0001.0001.000
2024-01-28T21:16:43.325052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호분야
번호1.0000.083
분야0.0831.000

Missing values

2024-01-28T21:16:40.959597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:16:41.037292image/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

번호업체명분야전화번호영업소소재지
01(주)광일대기032-589-4199인천광역시 미추홀구 방축로 312, 주안제이타워2차지식산업센터 706호 (주안동)
12(주)그린이엔테크대기, 수질032-822-7321인천광역시 남동구 호구포로 189, 남동테크노타워지식산업센터 909,910호 (고잔동)
23(주)극동이씨티대기, 수질032-578-2175인천광역시 서구 건지로250번길 76 (가좌동)
34(주)금영이엔텍대기, 수질032-864-1103인천광역시 남동구 배려터로 7
45(주)녹색엔지니어링대기032-433-2486인천광역시 미추홀구 방축로 312, 주안제이타워2차지식산업센터 10층 1010~1012호 (주안동)
56(주)대경에스코대기032-817-5100인천광역시 연수구 송도과학로 32, 송도테크노파크IT센터 S동 24층 2402호(송도동)
67(주)대금지오웰수질032-874-0211인천광역시 미추홀구 장고개로92번길 38 (도화동)
78(주)대하엔지니어링대기, 수질032-812-0240인천광역시 남동구 은청로 76 (고잔동,남동공단 75B-2L)
89(주)덕성그린텍대기, 수질032-568-5077인천광역시 서구 원당대로480번길 63-3 (왕길동)
910(주)동방환경기연대기032-814-2194인천광역시 남동구 남동대로 350 (남촌동)
번호업체명분야전화번호영업소소재지
6465(주)오토링크대기032-664-1237인천광역시 서구 보듬1로 6
6566(주)프레코대기032-262-2020인천광역시 남동구 백범로 399, 2층 202호
6667금정이앤시(주)수질032-541-5077인천광역시 서구 사월로37번길6, 가동(왕길동)
6768(주)동우기연대기, 수질032-719-7781인천광역시 동구 방축로 37번길 30, 06동 306호(송현동 산업유통단지)
6869㈜청우네이처수질032-567-9360인천광역시 서구 정서진로 410, 환경산업연구단지 A동 3층 301호(오류동)
6970㈜대성제이테크대기032-569-5863인천광역시 서구 보듬4로 13, 성암기연(주)(오류동)
7071㈜바우컨설탄트수질032-423-4671인천광역시 부평구 길주로 659, 미라쥬타워 3층 308호(삼산동)
7172㈜가온이앤이대기032-425-0050인천광역시 남동구 은청로 4-19, 남동공단산업용품상가 A동 3층 317호(고잔동)
7273㈜메타솔루션대기032-822-2600인천광역시 남동구 은봉로75번길 84(논현동)
7374(주)사베코대기032-326-4264인천광역시 연수구 송도과학로 32, 송도테크노파크IT센터 엠동 17층 1703호(송도동)