Overview

Dataset statistics

Number of variables10
Number of observations155
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory81.9 B

Variable types

Numeric1
Text3
Categorical3
DateTime3

Dataset

Description환경경영정보포털에서 제공하는 녹색기업으로 지정된 업체에 관련된 정보를 제공(업체명, 소재지, 업종,최초 지정일자, 지역 구분, 사이트 주소 등)
Author환경부
URLhttps://www.data.go.kr/data/15039227/fileData.do

Alerts

지역구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 비고 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:14:30.294095
Analysis finished2023-12-12 20:14:31.120007
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78
Minimum1
Maximum155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T05:14:31.217108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.7
Q139.5
median78
Q3116.5
95-th percentile147.3
Maximum155
Range154
Interquartile range (IQR)77

Descriptive statistics

Standard deviation44.888751
Coefficient of variation (CV)0.57549681
Kurtosis-1.2
Mean78
Median Absolute Deviation (MAD)39
Skewness0
Sum12090
Variance2015
MonotonicityStrictly increasing
2023-12-13T05:14:31.365609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
108 1
 
0.6%
101 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
109 1
 
0.6%
Other values (145) 145
93.5%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%
147 1
0.6%
146 1
0.6%

업체명
Text

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T05:14:31.648044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length11.858065
Min length5

Characters and Unicode

Total characters1838
Distinct characters249
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)100.0%

Sample

1st row한국동서발전㈜일산화력본부
2nd row페어차일드코리아반도체(주)
3rd row삼성전기㈜ 수원사업장
4th row삼성전자㈜ 수원사업장
5th row삼성디스플레이㈜기흥캠퍼스
ValueCountFrequency (%)
청주공장 5
 
1.9%
㈜lg화학 5
 
1.9%
한국수력원자력㈜ 5
 
1.9%
lg전자㈜ 4
 
1.5%
울산공장 4
 
1.5%
대전공장 4
 
1.5%
익산공장 4
 
1.5%
여수공장 3
 
1.1%
서울우유협동조합 3
 
1.1%
씨제이제일제당㈜ 3
 
1.1%
Other values (199) 222
84.7%
2023-12-13T05:14:32.099068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 109
 
5.9%
108
 
5.9%
장 99
 
5.4%
공 81
 
4.4%
주 62
 
3.4%
전 52
 
2.8%
한 51
 
2.8%
) 40
 
2.2%
산 40
 
2.2%
( 40
 
2.2%
Other values (239) 1156
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1419
77.2%
Other Symbol 109
 
5.9%
Space Separator 108
 
5.9%
Uppercase Letter 92
 
5.0%
Close Punctuation 40
 
2.2%
Open Punctuation 40
 
2.2%
Decimal Number 17
 
0.9%
Other Punctuation 7
 
0.4%
Lowercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 99
 
7.0%
공 81
 
5.7%
주 62
 
4.4%
전 52
 
3.7%
한 51
 
3.6%
산 40
 
2.8%
화 36
 
2.5%
부 30
 
2.1%
사 29
 
2.0%
이 27
 
1.9%
Other values (211) 912
64.3%
Uppercase Letter
ValueCountFrequency (%)
L 28
30.4%
G 25
27.2%
S 14
15.2%
K 4
 
4.3%
D 4
 
4.3%
I 4
 
4.3%
C 3
 
3.3%
A 3
 
3.3%
M 2
 
2.2%
B 2
 
2.2%
Other values (3) 3
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
p 1
16.7%
s 1
16.7%
l 1
16.7%
i 1
16.7%
a 1
16.7%
y 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 8
47.1%
1 8
47.1%
3 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
* 6
85.7%
＊ 1
 
14.3%
Other Symbol
ValueCountFrequency (%)
㈜ 109
100.0%
Space Separator
ValueCountFrequency (%)
108
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1527
83.1%
Common 212
 
11.5%
Latin 98
 
5.3%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 109
 
7.1%
장 99
 
6.5%
공 81
 
5.3%
주 62
 
4.1%
전 52
 
3.4%
한 51
 
3.3%
산 40
 
2.6%
화 36
 
2.4%
부 30
 
2.0%
사 29
 
1.9%
Other values (211) 938
61.4%
Latin
ValueCountFrequency (%)
L 28
28.6%
G 25
25.5%
S 14
14.3%
K 4
 
4.1%
D 4
 
4.1%
I 4
 
4.1%
C 3
 
3.1%
A 3
 
3.1%
M 2
 
2.0%
B 2
 
2.0%
Other values (9) 9
 
9.2%
Common
ValueCountFrequency (%)
108
50.9%
) 40
 
18.9%
( 40
 
18.9%
2 8
 
3.8%
1 8
 
3.8%
* 6
 
2.8%
3 1
 
0.5%
＊ 1
 
0.5%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1418
77.1%
ASCII 309
 
16.8%
None 110
 
6.0%
CJK 1
 
0.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 109
99.1%
＊ 1
 
0.9%
ASCII
ValueCountFrequency (%)
108
35.0%
) 40
 
12.9%
( 40
 
12.9%
L 28
 
9.1%
G 25
 
8.1%
S 14
 
4.5%
2 8
 
2.6%
1 8
 
2.6%
* 6
 
1.9%
K 4
 
1.3%
Other values (16) 28
 
9.1%
Hangul
ValueCountFrequency (%)
장 99
 
7.0%
공 81
 
5.7%
주 62
 
4.4%
전 52
 
3.7%
한 51
 
3.6%
산 40
 
2.8%
화 36
 
2.5%
부 30
 
2.1%
사 29
 
2.0%
이 27
 
1.9%
Other values (210) 911
64.2%
CJK
ValueCountFrequency (%)
美 1
100.0%

소재지
Text

Distinct150
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T05:14:32.462227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length29
Mean length20.167742
Min length11

Characters and Unicode

Total characters3126
Distinct characters210
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

Unique146 ?
Unique (%)94.2%

Sample

1st row경기도 고양시 일산동구 경의로 201
2nd row경기도 부천시 원미구 평천로 850길 55
3rd row경기도 수원시 영통구 매영로 150(매탄동)
4th row경기도 수원시 영통구 매탄3동 416
5th row경기도 용인시 기흥구 삼성2로 95
ValueCountFrequency (%)
경기도 20
 
2.6%
충북 15
 
2.0%
충남 14
 
1.9%
울산시 13
 
1.7%
경상북도 13
 
1.7%
구미시 13
 
1.7%
강원도 11
 
1.5%
흥덕구 10
 
1.3%
청주시 10
 
1.3%
전북 10
 
1.3%
Other values (439) 627
82.9%
2023-12-13T05:14:33.022943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
602
 
19.3%
로 139
 
4.4%
시 126
 
4.0%
1 92
 
2.9%
산 90
 
2.9%
구 86
 
2.8%
2 80
 
2.6%
3 67
 
2.1%
7 62
 
2.0%
5 60
 
1.9%
Other values (200) 1722
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1875
60.0%
Space Separator 602
 
19.3%
Decimal Number 575
 
18.4%
Close Punctuation 26
 
0.8%
Open Punctuation 26
 
0.8%
Dash Punctuation 17
 
0.5%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 139
 
7.4%
시 126
 
6.7%
산 90
 
4.8%
구 86
 
4.6%
북 58
 
3.1%
도 50
 
2.7%
경 48
 
2.6%
길 45
 
2.4%
대 44
 
2.3%
남 41
 
2.2%
Other values (184) 1148
61.2%
Decimal Number
ValueCountFrequency (%)
1 92
16.0%
2 80
13.9%
3 67
11.7%
7 62
10.8%
5 60
10.4%
0 54
9.4%
4 47
8.2%
9 43
7.5%
6 36
 
6.3%
8 34
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 3
60.0%
: 2
40.0%
Space Separator
ValueCountFrequency (%)
602
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1875
60.0%
Common 1251
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 139
 
7.4%
시 126
 
6.7%
산 90
 
4.8%
구 86
 
4.6%
북 58
 
3.1%
도 50
 
2.7%
경 48
 
2.6%
길 45
 
2.4%
대 44
 
2.3%
남 41
 
2.2%
Other values (184) 1148
61.2%
Common
ValueCountFrequency (%)
602
48.1%
1 92
 
7.4%
2 80
 
6.4%
3 67
 
5.4%
7 62
 
5.0%
5 60
 
4.8%
0 54
 
4.3%
4 47
 
3.8%
9 43
 
3.4%
6 36
 
2.9%
Other values (6) 108
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1875
60.0%
ASCII 1251
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
602
48.1%
1 92
 
7.4%
2 80
 
6.4%
3 67
 
5.4%
7 62
 
5.0%
5 60
 
4.8%
0 54
 
4.3%
4 47
 
3.8%
9 43
 
3.4%
6 36
 
2.9%
Other values (6) 108
 
8.6%
Hangul
ValueCountFrequency (%)
로 139
 
7.4%
시 126
 
6.7%
산 90
 
4.8%
구 86
 
4.6%
북 58
 
3.1%
도 50
 
2.7%
경 48
 
2.6%
길 45
 
2.4%
대 44
 
2.3%
남 41
 
2.2%
Other values (184) 1148
61.2%

업종
Categorical

Distinct30
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
화학
27 
전자
22 
발전
12 
전기
10 
식료품
10 
Other values (25)
74 

Length

Max length12
Median length2
Mean length2.6967742
Min length2

Unique

Unique13 ?
Unique (%)8.4%

Sample

1st row발전
2nd row전기전자
3rd row전기전자
4th row전기전자
5th row전기전자

Common Values

ValueCountFrequency (%)
화학 27
17.4%
전자 22
14.2%
발전 12
 
7.7%
전기 10
 
6.5%
식료품 10
 
6.5%
음식료 10
 
6.5%
제조 9
 
5.8%
제지 7
 
4.5%
제조업 7
 
4.5%
전기전자 6
 
3.9%
Other values (20) 35
22.6%

Length

2023-12-13T05:14:33.193167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화학 27
16.6%
전자 22
13.5%
발전 12
 
7.4%
전기 10
 
6.1%
식료품 10
 
6.1%
음식료 10
 
6.1%
제조 9
 
5.5%
제조업 9
 
5.5%
제지 7
 
4.3%
전기전자 6
 
3.7%
Other values (25) 41
25.2%

최초지정
Date

Distinct128
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1995-11-07 00:00:00
Maximum2017-04-04 00:00:00
2023-12-13T05:14:33.356499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:33.546403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

현지정시작일장
Date

Distinct116
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2012-07-04 00:00:00
Maximum2017-08-28 00:00:00
2023-12-13T05:14:33.736990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:33.935887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

현지정종료일자
Date

Distinct115
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2017-07-03 00:00:00
Maximum2020-08-27 00:00:00
2023-12-13T05:14:34.113960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:14:34.275208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

비고
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
한강유역환경청
33 
금강유역환경청
33 
낙동강유역환경청
32 
원주지방환경청
17 
대구지방환경청
17 
Other values (2)
23 

Length

Max length8
Median length7
Mean length7.3548387
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한강유역환경청 33
21.3%
금강유역환경청 33
21.3%
낙동강유역환경청 32
20.6%
원주지방환경청 17
11.0%
대구지방환경청 17
11.0%
영산강유역환경청 13
 
8.4%
새만금지방환경청 10
 
6.5%

Length

2023-12-13T05:14:34.435827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:34.555780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한강유역환경청 33
21.3%
금강유역환경청 33
21.3%
낙동강유역환경청 32
20.6%
원주지방환경청 17
11.0%
대구지방환경청 17
11.0%
영산강유역환경청 13
 
8.4%
새만금지방환경청 10
 
6.5%

지역구분
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
경기도
21 
충청북도
17 
경상북도
17 
울산광역시
17 
충청남도
14 
Other values (11)
69 

Length

Max length7
Median length5
Mean length4.116129
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 21
13.5%
충청북도 17
11.0%
경상북도 17
11.0%
울산광역시 17
11.0%
충청남도 14
9.0%
강원도 12
7.7%
인천광역시 10
6.5%
전라북도 10
6.5%
경상남도 10
6.5%
전라남도 9
5.8%
Other values (6) 18
11.6%

Length

2023-12-13T05:14:34.700863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 21
13.5%
충청북도 17
11.0%
경상북도 17
11.0%
울산광역시 17
11.0%
충청남도 14
9.0%
강원도 12
7.7%
인천광역시 10
6.5%
전라북도 10
6.5%
경상남도 10
6.5%
전라남도 9
5.8%
Other values (6) 18
11.6%

사이트주소
Text

Distinct91
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T05:14:34.991138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length31
Mean length19.722581
Min length2

Characters and Unicode

Total characters3057
Distinct characters37
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

Unique59 ?
Unique (%)38.1%

Sample

1st rowwww.ewp.co.kr
2nd rowwww.fairchildsemi.co.kr/
3rd rowwww.samsungsem.com
4th rowhttp://www.samsung.com/sec/aboutsamsung/home/
5th rowwww.samsungdisplay.com
ValueCountFrequency (%)
www.khnp.co.kr 9
 
5.8%
www.lgchem.com 7
 
4.5%
http://www.lge.co.kr/lgekr/company/news/lgekrfrontnewsindexcmd.laf 5
 
3.2%
http://www.samsung.com/sec/aboutsamsung/home 5
 
3.2%
www.cj.co.kr 4
 
2.6%
www.seoulmilk.co.kr 3
 
1.9%
company.lottechilsung.co.kr 3
 
1.9%
www.koenergy.kr 3
 
1.9%
www.lginnotek.co.kr 3
 
1.9%
www.lsis.com 3
 
1.9%
Other values (81) 110
71.0%
2023-12-13T05:14:35.443972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 448
14.7%
. 393
12.9%
o 254
 
8.3%
c 214
 
7.0%
m 156
 
5.1%
k 151
 
4.9%
r 141
 
4.6%
s 137
 
4.5%
n 135
 
4.4%
e 125
 
4.1%
Other values (27) 903
29.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2529
82.7%
Other Punctuation 489
 
16.0%
Uppercase Letter 26
 
0.9%
Other Letter 6
 
0.2%
Dash Punctuation 5
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 448
17.7%
o 254
 
10.0%
c 214
 
8.5%
m 156
 
6.2%
k 151
 
6.0%
r 141
 
5.6%
s 137
 
5.4%
n 135
 
5.3%
e 125
 
4.9%
a 124
 
4.9%
Other values (14) 644
25.5%
Uppercase Letter
ValueCountFrequency (%)
I 5
19.2%
C 5
19.2%
N 5
19.2%
F 5
19.2%
L 5
19.2%
M 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 393
80.4%
/ 83
 
17.0%
: 13
 
2.7%
Other Letter
ValueCountFrequency (%)
없 3
50.0%
음 3
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2555
83.6%
Common 496
 
16.2%
Hangul 6
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 448
17.5%
o 254
 
9.9%
c 214
 
8.4%
m 156
 
6.1%
k 151
 
5.9%
r 141
 
5.5%
s 137
 
5.4%
n 135
 
5.3%
e 125
 
4.9%
a 124
 
4.9%
Other values (20) 670
26.2%
Common
ValueCountFrequency (%)
. 393
79.2%
/ 83
 
16.7%
: 13
 
2.6%
- 5
 
1.0%
1 2
 
0.4%
Hangul
ValueCountFrequency (%)
없 3
50.0%
음 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3051
99.8%
Hangul 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 448
14.7%
. 393
12.9%
o 254
 
8.3%
c 214
 
7.0%
m 156
 
5.1%
k 151
 
4.9%
r 141
 
4.6%
s 137
 
4.5%
n 135
 
4.4%
e 125
 
4.1%
Other values (25) 897
29.4%
Hangul
ValueCountFrequency (%)
없 3
50.0%
음 3
50.0%

Interactions

2023-12-13T05:14:30.811687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:14:35.552481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종비고지역구분사이트주소
연번1.0000.7710.9410.9260.634
업종0.7711.0000.7840.8250.978
비고0.9410.7841.0000.9900.594
지역구분0.9260.8250.9901.0000.525
사이트주소0.6340.9780.5940.5251.000
2023-12-13T05:14:35.646234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역구분비고업종
지역구분1.0000.9410.375
비고0.9411.0000.433
업종0.3750.4331.000
2023-12-13T05:14:36.120951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종비고지역구분
연번1.0000.3350.8340.693
업종0.3351.0000.4330.375
비고0.8340.4331.0000.941
지역구분0.6930.3750.9411.000

Missing values

2023-12-13T05:14:30.934238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:14:31.067365image/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

연번업체명소재지업종최초지정현지정시작일장현지정종료일자비고지역구분사이트주소
01한국동서발전㈜일산화력본부경기도 고양시 일산동구 경의로 201발전1996-01-032015-07-272018-07-26한강유역환경청경기도www.ewp.co.kr
12페어차일드코리아반도체(주)경기도 부천시 원미구 평천로 850길 55전기전자1998-11-302016-06-282019-06-27한강유역환경청경기도www.fairchildsemi.co.kr/
23삼성전기㈜ 수원사업장경기도 수원시 영통구 매영로 150(매탄동)전기전자1998-01-012016-12-142019-12-13한강유역환경청경기도www.samsungsem.com
34삼성전자㈜ 수원사업장경기도 수원시 영통구 매탄3동 416전기전자1996-04-252016-06-282019-06-27한강유역환경청경기도http://www.samsung.com/sec/aboutsamsung/home/
45삼성디스플레이㈜기흥캠퍼스경기도 용인시 기흥구 삼성2로 95전기전자2009-07-072016-08-052019-08-04한강유역환경청경기도www.samsungdisplay.com
56삼성물산㈜에버랜드리조트경기도 용인시 처인구 포곡읍 에버랜드로 199비제조1997-09-122016-06-102019-06-09한강유역환경청경기도rnc.samsungcnt.com
67한온시스템㈜평택공장경기도 평택시 포승읍 하만호길 32-1제조1996-01-032017-03-142020-03-13한강유역환경청경기도www.hanonsystems.com
78(주)만도 브레이크사업본부경기도 평택시 포승읍 하만호길 32자동차1996-03-042016-12-202019-12-19한강유역환경청경기도www.mando.com
89아시아나항공㈜ 본사 및 김포격납고본사: 서울시 강서구 오정로 443-83 김포격납고 : 서울시 강서구 하늘길 176운송2001-04-042014-11-172017-11-16한강유역환경청서울특별시flyasiana.com
910(주)대한항공서울특별시 강서구 하늘길 260운송2001-10-062015-10-222018-10-21한강유역환경청서울특별시kr.koreanair.com
연번업체명소재지업종최초지정현지정시작일장현지정종료일자비고지역구분사이트주소
145146한국중부발전㈜ 서천화력본부충남 서천군 서면 서인로 235번길 85전기2008-01-152016-02-082019-02-07금강유역환경청충청남도www.komipo.co.kr
146147삼성디스플레이㈜아산캠퍼스충남 아산시 탕정면 삼성로 181 탕정로 380-2전자2008-01-222016-08-232019-08-22금강유역환경청충청남도www.samsungdisplay.com
147148유한양행㈜ 오창공장충북 청원군 오창읍 연구단지로 219제조업2009-11-242014-10-162017-10-15금강유역환경청충청북도www.yuhan.co.kr/Main/index.asp
148149한솔제지㈜천안공장충남 천안시 동남구 광덕면 세종로 4186제지2010-03-032014-12-122017-12-11금강유역환경청충청남도www.hansolpaper.co.kr
149150롯데케미칼㈜대산공장충남 서산시 대산읍 독곳1로 82화학2011-02-082015-05-132018-05-12금강유역환경청충청남도www.lottechem.com
150151㈜LG화학 대산공장충남 서산시 대산읍 독곶1로 54화학2013-11-272016-11-272019-11-26금강유역환경청충청남도www.lgchem.com
151152해태에이치티비㈜충남 천안시 동남구청당산업길 250음식료2014-12-122014-12-122017-12-11금강유역환경청충청남도www.htb.co.kr
152153한국조폐공사 화폐본부경북 경산시 화랑로 140-10기타제조2015-04-032015-04-032018-04-02대구지방환경청경상북도www.komsco.com
153154㈜잇츠한불 美드린센타충북 음성군 삼성면 대성로 547번길 62제조업2016-05-242016-05-242019-05-23원주지방환경청충청북도itshanbul.com
154155한화엘앤씨㈜ 세종사업장세종특별자치시 부강면 부강금호로 37화학2017-04-042017-04-042020-04-03금강유역환경청세종특별자치시www.hlcc.co.kr