Overview

Dataset statistics

Number of variables10
Number of observations96
Missing cells2
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory82.4 B

Variable types

Numeric1
Text4
Categorical2
DateTime3

Dataset

Description본 데이터는 2024년도 기준 녹색 기업(업체명, 소재지, 업종, 최초지정일자, 현지정시작일자, 현지정종료일자 등)에 대한 정보를 제공합니다.
Author환경부
URLhttps://www.data.go.kr/data/15088556/fileData.do

Alerts

순번 is highly overall correlated with 비고High correlation
비고 is highly overall correlated with 순번High correlation
대표자 has 2 (2.1%) missing valuesMissing
순번 has unique valuesUnique
업체명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:22:25.203076
Analysis finished2024-04-06 08:22:28.491822
Duration3.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.5
Minimum1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-06T17:22:28.689048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.75
Q124.75
median48.5
Q372.25
95-th percentile91.25
Maximum96
Range95
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation27.856777
Coefficient of variation (CV)0.57436653
Kurtosis-1.2
Mean48.5
Median Absolute Deviation (MAD)24
Skewness0
Sum4656
Variance776
MonotonicityStrictly increasing
2024-04-06T17:22:29.010627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
50 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%
87 1
1.0%

업체명
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-04-06T17:22:29.437529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length11.822917
Min length4

Characters and Unicode

Total characters1135
Distinct characters194
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row한국동서발전㈜ 일산발전본부
2nd row온세미컨덕터코리아 주식회사
3rd row삼성전기㈜ 수원사업장
4th row삼성전자㈜ 수원사업장
5th row삼성디스플레이㈜ 기흥캠퍼스
ValueCountFrequency (%)
한국수력원자력㈜ 5
 
2.7%
삼성전자㈜ 5
 
2.7%
익산공장 4
 
2.2%
㈜농심 4
 
2.2%
한국동서발전㈜ 3
 
1.6%
㈜lg화학 3
 
1.6%
롯데칠성음료㈜ 3
 
1.6%
lg전자㈜ 3
 
1.6%
천안사업장 3
 
1.6%
삼성전기㈜ 3
 
1.6%
Other values (130) 150
80.6%
2024-04-06T17:22:30.400828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
91
 
8.0%
㈜ 84
 
7.4%
장 63
 
5.6%
공 44
 
3.9%
전 39
 
3.4%
사 27
 
2.4%
한 26
 
2.3%
성 26
 
2.3%
산 23
 
2.0%
발 22
 
1.9%
Other values (184) 690
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 889
78.3%
Space Separator 91
 
8.0%
Other Symbol 84
 
7.4%
Uppercase Letter 43
 
3.8%
Decimal Number 9
 
0.8%
Lowercase Letter 9
 
0.8%
Open Punctuation 5
 
0.4%
Close Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 63
 
7.1%
공 44
 
4.9%
전 39
 
4.4%
사 27
 
3.0%
한 26
 
2.9%
성 26
 
2.9%
산 23
 
2.6%
발 22
 
2.5%
주 20
 
2.2%
업 20
 
2.2%
Other values (164) 579
65.1%
Uppercase Letter
ValueCountFrequency (%)
L 12
27.9%
G 12
27.9%
S 8
18.6%
D 4
 
9.3%
I 4
 
9.3%
K 2
 
4.7%
P 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
h 2
22.2%
l 2
22.2%
t 2
22.2%
b 1
11.1%
n 1
11.1%
a 1
11.1%
Decimal Number
ValueCountFrequency (%)
1 5
55.6%
2 3
33.3%
3 1
 
11.1%
Space Separator
ValueCountFrequency (%)
91
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 973
85.7%
Common 110
 
9.7%
Latin 52
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 84
 
8.6%
장 63
 
6.5%
공 44
 
4.5%
전 39
 
4.0%
사 27
 
2.8%
한 26
 
2.7%
성 26
 
2.7%
산 23
 
2.4%
발 22
 
2.3%
주 20
 
2.1%
Other values (165) 599
61.6%
Latin
ValueCountFrequency (%)
L 12
23.1%
G 12
23.1%
S 8
15.4%
D 4
 
7.7%
I 4
 
7.7%
K 2
 
3.8%
h 2
 
3.8%
l 2
 
3.8%
t 2
 
3.8%
b 1
 
1.9%
Other values (3) 3
 
5.8%
Common
ValueCountFrequency (%)
91
82.7%
( 5
 
4.5%
) 5
 
4.5%
1 5
 
4.5%
2 3
 
2.7%
3 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 888
78.2%
ASCII 162
 
14.3%
None 84
 
7.4%
Compat Jamo 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
91
56.2%
L 12
 
7.4%
G 12
 
7.4%
S 8
 
4.9%
( 5
 
3.1%
) 5
 
3.1%
1 5
 
3.1%
D 4
 
2.5%
I 4
 
2.5%
2 3
 
1.9%
Other values (9) 13
 
8.0%
None
ValueCountFrequency (%)
㈜ 84
100.0%
Hangul
ValueCountFrequency (%)
장 63
 
7.1%
공 44
 
5.0%
전 39
 
4.4%
사 27
 
3.0%
한 26
 
2.9%
성 26
 
2.9%
산 23
 
2.6%
발 22
 
2.5%
주 20
 
2.3%
업 20
 
2.3%
Other values (163) 578
65.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

소재지
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-04-06T17:22:30.972575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length47
Mean length21.729167
Min length11

Characters and Unicode

Total characters2086
Distinct characters196
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

Unique96 ?
Unique (%)100.0%

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 17
 
3.5%
전북 10
 
2.1%
경상북도 10
 
2.1%
구미시 10
 
2.1%
충북 10
 
2.1%
충남 8
 
1.6%
강원도 8
 
1.6%
흥덕구 7
 
1.4%
청주시 7
 
1.4%
강서구 6
 
1.2%
Other values (311) 392
80.8%
2024-04-06T17:22:31.868066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
397
 
19.0%
로 87
 
4.2%
시 81
 
3.9%
1 69
 
3.3%
산 60
 
2.9%
구 54
 
2.6%
2 51
 
2.4%
3 44
 
2.1%
북 41
 
2.0%
도 40
 
1.9%
Other values (186) 1162
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1243
59.6%
Space Separator 397
 
19.0%
Decimal Number 365
 
17.5%
Close Punctuation 23
 
1.1%
Open Punctuation 23
 
1.1%
Dash Punctuation 14
 
0.7%
Other Punctuation 9
 
0.4%
Uppercase Letter 6
 
0.3%
Lowercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 87
 
7.0%
시 81
 
6.5%
산 60
 
4.8%
구 54
 
4.3%
북 41
 
3.3%
도 40
 
3.2%
경 38
 
3.1%
길 26
 
2.1%
주 24
 
1.9%
면 23
 
1.9%
Other values (162) 769
61.9%
Decimal Number
ValueCountFrequency (%)
1 69
18.9%
2 51
14.0%
3 44
12.1%
5 34
9.3%
7 31
8.5%
4 31
8.5%
9 30
8.2%
0 29
7.9%
8 25
 
6.8%
6 21
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
L 2
33.3%
T 2
33.3%
G 1
16.7%
C 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 4
44.4%
/ 3
33.3%
: 2
22.2%
Lowercase Letter
ValueCountFrequency (%)
h 2
33.3%
e 2
33.3%
c 2
33.3%
Space Separator
ValueCountFrequency (%)
397
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1243
59.6%
Common 831
39.8%
Latin 12
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 87
 
7.0%
시 81
 
6.5%
산 60
 
4.8%
구 54
 
4.3%
북 41
 
3.3%
도 40
 
3.2%
경 38
 
3.1%
길 26
 
2.1%
주 24
 
1.9%
면 23
 
1.9%
Other values (162) 769
61.9%
Common
ValueCountFrequency (%)
397
47.8%
1 69
 
8.3%
2 51
 
6.1%
3 44
 
5.3%
5 34
 
4.1%
7 31
 
3.7%
4 31
 
3.7%
9 30
 
3.6%
0 29
 
3.5%
8 25
 
3.0%
Other values (7) 90
 
10.8%
Latin
ValueCountFrequency (%)
L 2
16.7%
h 2
16.7%
T 2
16.7%
e 2
16.7%
c 2
16.7%
G 1
8.3%
C 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1243
59.6%
ASCII 843
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
397
47.1%
1 69
 
8.2%
2 51
 
6.0%
3 44
 
5.2%
5 34
 
4.0%
7 31
 
3.7%
4 31
 
3.7%
9 30
 
3.6%
0 29
 
3.4%
8 25
 
3.0%
Other values (14) 102
 
12.1%
Hangul
ValueCountFrequency (%)
로 87
 
7.0%
시 81
 
6.5%
산 60
 
4.8%
구 54
 
4.3%
북 41
 
3.3%
도 40
 
3.2%
경 38
 
3.1%
길 26
 
2.1%
주 24
 
1.9%
면 23
 
1.9%
Other values (162) 769
61.9%

업종
Categorical

Distinct12
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size900.0 B
전기전자
29 
식료품
16 
발전
15 
제조
13 
석유화학ㆍ금속
8 
Other values (7)
15 

Length

Max length10
Median length7
Mean length3.59375
Min length2

Unique

Unique3 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
전기전자 29
30.2%
식료품 16
16.7%
발전 15
15.6%
제조 13
13.5%
석유화학ㆍ금속 8
 
8.3%
제지 4
 
4.2%
자동차ㆍ기계 3
 
3.1%
제조업일반 3
 
3.1%
플라스틱ㆍ고무ㆍ섬유 2
 
2.1%
기타 1
 
1.0%
Other values (2) 2
 
2.1%

Length

2024-04-06T17:22:32.753071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전기전자 29
30.2%
식료품 16
16.7%
발전 15
15.6%
제조 13
13.5%
석유화학ㆍ금속 8
 
8.3%
제지 4
 
4.2%
자동차ㆍ기계 3
 
3.1%
제조업일반 3
 
3.1%
플라스틱ㆍ고무ㆍ섬유 2
 
2.1%
기타 1
 
1.0%
Other values (2) 2
 
2.1%

최초지정일자
Date

Distinct90
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum1995-11-07 00:00:00
Maximum2023-12-12 00:00:00
2024-04-06T17:22:33.569296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:22:34.306329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

현지정시작일자
Date

Distinct83
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2020-12-10 00:00:00
Maximum2023-12-29 00:00:00
2024-04-06T17:22:34.579686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:22:34.890055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

현지정종료일자
Date

Distinct83
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2023-12-09 00:00:00
Maximum2026-12-28 00:00:00
2024-04-06T17:22:35.186872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:22:35.572399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

비고
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size900.0 B
한강유역환경청
25 
금강유역환경청
19 
낙동강유역환경청
16 
원주지방환경청
12 
대구지방환경청
12 
Other values (2)
12 

Length

Max length8
Median length7
Mean length7.1875
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한강유역환경청 25
26.0%
금강유역환경청 19
19.8%
낙동강유역환경청 16
16.7%
원주지방환경청 12
12.5%
대구지방환경청 12
12.5%
전북지방환경청 10
 
10.4%
영산강유역환경청 2
 
2.1%

Length

2024-04-06T17:22:35.854785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:22:36.071128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한강유역환경청 25
26.0%
금강유역환경청 19
19.8%
낙동강유역환경청 16
16.7%
원주지방환경청 12
12.5%
대구지방환경청 12
12.5%
전북지방환경청 10
 
10.4%
영산강유역환경청 2
 
2.1%

관련링크(URL)
Text

Distinct60
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-04-06T17:22:36.534206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length23
Mean length19.104167
Min length9

Characters and Unicode

Total characters1834
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)44.8%

Sample

1st rowwww.ewp.co.kr
2nd rowonsemi-korea.com
3rd rowwww.samsungsem.com
4th rowwww.samsung.com/sec/aboutsamsung/home/
5th rowwww.samsungdisplay.com
ValueCountFrequency (%)
www.khnp.co.kr 6
 
6.2%
www.lgchem.com 6
 
6.2%
www.samsung.com/sec/aboutsamsung/home 5
 
5.2%
company.lottechilsung.co.kr 4
 
4.2%
www.samsungsdi.co.kr 3
 
3.1%
recruit.nongshim.com 3
 
3.1%
www.lsis.com 3
 
3.1%
lge.co.kr 3
 
3.1%
www.samsungdisplay.com 3
 
3.1%
www.samsungsem.com 3
 
3.1%
Other values (50) 57
59.4%
2024-04-06T17:22:37.304008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 247
13.5%
. 235
12.8%
o 159
 
8.7%
c 140
 
7.6%
m 112
 
6.1%
s 101
 
5.5%
n 95
 
5.2%
k 82
 
4.5%
r 82
 
4.5%
e 77
 
4.2%
Other values (23) 504
27.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1549
84.5%
Other Punctuation 270
 
14.7%
Uppercase Letter 11
 
0.6%
Dash Punctuation 2
 
0.1%
Decimal Number 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 247
15.9%
o 159
10.3%
c 140
 
9.0%
m 112
 
7.2%
s 101
 
6.5%
n 95
 
6.1%
k 82
 
5.3%
r 82
 
5.3%
e 77
 
5.0%
a 74
 
4.8%
Other values (13) 380
24.5%
Uppercase Letter
ValueCountFrequency (%)
L 2
18.2%
F 2
18.2%
N 2
18.2%
I 2
18.2%
C 2
18.2%
M 1
9.1%
Other Punctuation
ValueCountFrequency (%)
. 235
87.0%
/ 35
 
13.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1560
85.1%
Common 274
 
14.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 247
15.8%
o 159
10.2%
c 140
 
9.0%
m 112
 
7.2%
s 101
 
6.5%
n 95
 
6.1%
k 82
 
5.3%
r 82
 
5.3%
e 77
 
4.9%
a 74
 
4.7%
Other values (19) 391
25.1%
Common
ValueCountFrequency (%)
. 235
85.8%
/ 35
 
12.8%
- 2
 
0.7%
1 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 247
13.5%
. 235
12.8%
o 159
 
8.7%
c 140
 
7.6%
m 112
 
6.1%
s 101
 
5.5%
n 95
 
5.2%
k 82
 
4.5%
r 82
 
4.5%
e 77
 
4.2%
Other values (23) 504
27.5%

대표자
Text

MISSING 

Distinct76
Distinct (%)80.9%
Missing2
Missing (%)2.1%
Memory size900.0 B
2024-04-06T17:22:37.913155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.8510638
Min length2

Characters and Unicode

Total characters362
Distinct characters112
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)69.1%

Sample

1st row이경로
2nd row강병곤
3rd row장덕현
4th row한종희
5th row권오현
ValueCountFrequency (%)
한종희 4
 
3.7%
신학철 4
 
3.7%
조주완 3
 
2.8%
배두용 3
 
2.8%
장덕현 3
 
2.8%
이병학 3
 
2.8%
구자균 3
 
2.8%
손재일 2
 
1.9%
박용상 2
 
1.9%
김인규 2
 
1.9%
Other values (73) 78
72.9%
2024-04-06T17:22:38.687438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
3.9%
박 13
 
3.6%
이 12
 
3.3%
영 11
 
3.0%
, 11
 
3.0%
호 9
 
2.5%
김 9
 
2.5%
정 9
 
2.5%
한 8
 
2.2%
장 8
 
2.2%
Other values (102) 258
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 336
92.8%
Space Separator 14
 
3.9%
Other Punctuation 11
 
3.0%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 13
 
3.9%
이 12
 
3.6%
영 11
 
3.3%
호 9
 
2.7%
김 9
 
2.7%
정 9
 
2.7%
한 8
 
2.4%
장 8
 
2.4%
학 8
 
2.4%
현 8
 
2.4%
Other values (99) 241
71.7%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 336
92.8%
Common 26
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 13
 
3.9%
이 12
 
3.6%
영 11
 
3.3%
호 9
 
2.7%
김 9
 
2.7%
정 9
 
2.7%
한 8
 
2.4%
장 8
 
2.4%
학 8
 
2.4%
현 8
 
2.4%
Other values (99) 241
71.7%
Common
ValueCountFrequency (%)
14
53.8%
, 11
42.3%
1 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 336
92.8%
ASCII 26
 
7.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
53.8%
, 11
42.3%
1 1
 
3.8%
Hangul
ValueCountFrequency (%)
박 13
 
3.9%
이 12
 
3.6%
영 11
 
3.3%
호 9
 
2.7%
김 9
 
2.7%
정 9
 
2.7%
한 8
 
2.4%
장 8
 
2.4%
학 8
 
2.4%
현 8
 
2.4%
Other values (99) 241
71.7%

Interactions

2024-04-06T17:22:27.747324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:22:38.886118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업체명소재지업종최초지정일자현지정시작일자현지정종료일자비고관련링크(URL)대표자
순번1.0001.0001.0000.5220.8500.9440.9210.8980.8370.719
업체명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
업종0.5221.0001.0001.0000.9390.9650.9690.4300.9950.982
최초지정일자0.8501.0001.0000.9391.0000.8350.9220.0000.9650.824
현지정시작일자0.9441.0001.0000.9650.8351.0001.0000.9500.9590.968
현지정종료일자0.9211.0001.0000.9690.9221.0001.0000.9280.9700.968
비고0.8981.0001.0000.4300.0000.9500.9281.0000.6460.830
관련링크(URL)0.8371.0001.0000.9950.9650.9590.9700.6461.0000.999
대표자0.7191.0001.0000.9820.8240.9680.9680.8300.9991.000
2024-04-06T17:22:39.113493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고업종
비고1.0000.216
업종0.2161.000
2024-04-06T17:22:39.291366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종비고
순번1.0000.2550.725
업종0.2551.0000.216
비고0.7250.2161.000

Missing values

2024-04-06T17:22:27.978891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:22:28.275291image/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

순번업체명소재지업종최초지정일자현지정시작일자현지정종료일자비고관련링크(URL)대표자
01한국동서발전㈜ 일산발전본부경기도 고양시 일산동구 경의로 201발전1996-01-032021-07-272024-07-26한강유역환경청www.ewp.co.kr이경로
12온세미컨덕터코리아 주식회사경기도 부천시 원미구 평천로 850길 55전기전자1998-11-302022-06-282025-06-27한강유역환경청onsemi-korea.com강병곤
23삼성전기㈜ 수원사업장경기도 수원시 영통구 매영로 150(매탄동)전기전자1996-05-142022-12-142025-12-13한강유역환경청www.samsungsem.com장덕현
34삼성전자㈜ 수원사업장경기도 수원시 영통구 매탄3동 416전기전자1996-04-252022-06-282025-06-27한강유역환경청www.samsung.com/sec/aboutsamsung/home/한종희
45삼성디스플레이㈜ 기흥캠퍼스경기도 용인시 기흥구 삼성2로 95전기전자2009-07-072022-08-052025-08-04한강유역환경청www.samsungdisplay.com권오현
56삼성물산㈜ 에버랜드리조트경기도 용인시 처인구 포곡읍 에버랜드로 199기타1997-09-122022-06-102025-06-09한강유역환경청rnc.samsungcnt.com정해린
67에이치엘만도 ㈜평택 Plant경기도 평택시 포승읍 하만호길 32제조1996-03-042022-12-202025-12-19한강유역환경청www.mando.com조성현
78아시아나항공㈜ 본사 및 김포격납고본사: 서울시 강서구 오정로 443-83김포격납고 : 서울시 강서구 하늘길 176운송2001-04-042023-11-172026-11-16한강유역환경청flyasiana.com원유석
89한국중부발전㈜ 인천발전본부인천 서구 중봉대로 405길 411발전1996-02-052022-03-112025-03-10한강유역환경청www.komipo.co.kr박형구
910한국서부발전(주) 서인천발전본부인천 서구 장도로 57발전1996-06-282022-07-102025-07-09한강유역환경청www.iwest.co.kr박형덕
순번업체명소재지업종최초지정일자현지정시작일자현지정종료일자비고관련링크(URL)대표자
8687해성DS㈜경남 창원시 성산구 웅남로 726전기전자2020-10-212023-10-212026-10-20낙동강유역환경청company.lottechilsung.co.kr조병학
8788삼성전자㈜ 평택공장경기토 평택시 고덕면 삼성로 113전기전자2020-10-232023-10-232026-10-22한강유역환경청www.samsung.com/sec/aboutsamsung/home/한종희
8889코카콜라음료㈜ 광주공장광주광역시 북구 양일로 130식료품2020-12-142023-12-142026-12-13영산강유역환경청www.cocacola.co.kr이정애
8990한국동서발전㈜ 동해발전본부강원도 동해시 공단9로 145발전2021-11-112021-11-152024-11-14원주지방환경청ewp.co.kr남석열
9091태경농산㈜ 안성공장경기도 안성시 미양면 제2공단1길 34식료품2021-12-012021-12-012024-11-30한강유역환경청www.nongshimtk.com천영규
9192삼성전기㈜ 세종사업장세종특별자치시 연동면 삼성길 25전기전자2021-12-132021-12-132024-12-12금강유역환경청www.samsungsem.com장덕현
9293한국남동발전㈜ 영동에코발전본부강원 강릉시 강동면 염전길 99발전2022-07-112022-07-112025-07-10원주지방환경청www.koenergy.kr영동에코발전본부장
9394롯데칠성음료㈜ 강릉공장강원도 강릉시 관솔길 7식료품2022-12-282022-12-282025-12-27원주지방환경청company.lottechilsung.co.kr박윤기
9495엘지전자㈜ 엘지사이언스파크서울시 강서구 마곡중앙10로 10전기전자2023-11-282023-11-282026-11-27한강유역환경청lge.co.kr<NA>
9596엘지전자㈜ 평택공장경기도 평택시 진위면 엘지로 222전기전자2023-12-122023-12-122026-12-11한강유역환경청lge.co.kr<NA>