Overview

Dataset statistics

Number of variables14
Number of observations5093
Missing cells171
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory577.1 KiB
Average record size in memory116.0 B

Variable types

Numeric3
Categorical9
Text2

Dataset

Description환경정보공개,정정신청,환경정보 정정신청정보(대표사업장명, 업체유형, 업체특성, 업종, 세부업종, 항목, 정정 세목, 정정 단위 등)
Author한국환경산업기술원
URLhttps://www.data.go.kr/data/15071985/fileData.do

Alerts

년도 has constant value ""Constant
세부업종 is highly overall correlated with 구분 and 3 other fieldsHigh correlation
정전 단위 is highly overall correlated with 정전 전 단위High correlation
정전 전 단위 is highly overall correlated with 정전 단위High correlation
업종 is highly overall correlated with 업체유형 and 2 other fieldsHigh correlation
정정 전 is highly overall correlated with 정전 후High correlation
정전 후 is highly overall correlated with 정정 전High correlation
구분 is highly overall correlated with 세부업종High correlation
업체유형 is highly overall correlated with 업체특성 and 3 other fieldsHigh correlation
업체특성 is highly overall correlated with 업체유형 and 2 other fieldsHigh correlation
항목 is highly overall correlated with 업체유형High correlation
정전 전 단위 is highly imbalanced (60.7%)Imbalance
정전 단위 is highly imbalanced (61.3%)Imbalance
정정 전 has 156 (3.1%) missing valuesMissing
정정 전 is highly skewed (γ1 = 63.56670486)Skewed
정전 후 is highly skewed (γ1 = 42.21732202)Skewed
정정 전 has 837 (16.4%) zerosZeros
정전 후 has 776 (15.2%) zerosZeros

Reproduction

Analysis started2023-12-12 20:59:47.189209
Analysis finished2023-12-12 20:59:50.524579
Duration3.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct974
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean520.32005
Minimum1
Maximum974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2023-12-13T05:59:50.625471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile53
Q1284
median543
Q3763
95-th percentile939
Maximum974
Range973
Interquartile range (IQR)479

Descriptive statistics

Standard deviation279.26228
Coefficient of variation (CV)0.53671252
Kurtosis-1.1441801
Mean520.32005
Median Absolute Deviation (MAD)238
Skewness-0.13671162
Sum2649990
Variance77987.423
MonotonicityNot monotonic
2023-12-13T05:59:50.830688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
646 24
 
0.5%
613 24
 
0.5%
647 24
 
0.5%
858 24
 
0.5%
42 24
 
0.5%
604 24
 
0.5%
569 24
 
0.5%
53 24
 
0.5%
254 24
 
0.5%
624 24
 
0.5%
Other values (964) 4853
95.3%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 1
 
< 0.1%
3 4
 
0.1%
4 1
 
< 0.1%
5 12
0.2%
6 4
 
0.1%
7 5
0.1%
8 4
 
0.1%
9 1
 
< 0.1%
10 3
 
0.1%
ValueCountFrequency (%)
974 7
0.1%
973 1
 
< 0.1%
972 8
0.2%
971 2
 
< 0.1%
970 8
0.2%
969 6
0.1%
968 4
0.1%
967 6
0.1%
966 4
0.1%
965 5
0.1%

년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
2018
5093 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 5093
100.0%

Length

2023-12-13T05:59:50.961407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:59:51.040808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 5093
100.0%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
대표사업장
2813 
사업장
2280 

Length

Max length5
Median length5
Mean length4.1046534
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대표사업장 2813
55.2%
사업장 2280
44.8%

Length

2023-12-13T05:59:51.138578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:59:51.231781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대표사업장 2813
55.2%
사업장 2280
44.8%

대표사업장명
Text

Distinct381
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
2023-12-13T05:59:51.424629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length9.5407422
Min length2

Characters and Unicode

Total characters48591
Distinct characters361
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)0.7%

Sample

1st row대한제강(주)
2nd row유니온머티리얼(주) 포항공장
3rd row유니온머티리얼(주) 포항공장
4th row유니온머티리얼(주) 포항공장
5th row유니온머티리얼(주) 포항공장
ValueCountFrequency (%)
본사 532
 
7.5%
주식회사 233
 
3.3%
롯데쇼핑(주 185
 
2.6%
본점(본사 185
 
2.6%
주)삼표산업 108
 
1.5%
1공장 92
 
1.3%
한국전력공사 91
 
1.3%
엘지전자_본사 85
 
1.2%
주)에코프로비엠(제조분야 77
 
1.1%
코오롱플라스틱(주 77
 
1.1%
Other values (447) 5465
76.6%
2023-12-13T05:59:51.754926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 3677
 
7.6%
( 3452
 
7.1%
) 3452
 
7.1%
사 2069
 
4.3%
2037
 
4.2%
공 1328
 
2.7%
본 1258
 
2.6%
한 1063
 
2.2%
장 888
 
1.8%
스 865
 
1.8%
Other values (351) 28502
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38329
78.9%
Open Punctuation 3452
 
7.1%
Close Punctuation 3452
 
7.1%
Space Separator 2037
 
4.2%
Uppercase Letter 867
 
1.8%
Lowercase Letter 189
 
0.4%
Decimal Number 147
 
0.3%
Connector Punctuation 106
 
0.2%
Dash Punctuation 10
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3677
 
9.6%
사 2069
 
5.4%
공 1328
 
3.5%
본 1258
 
3.3%
한 1063
 
2.8%
장 888
 
2.3%
스 865
 
2.3%
국 678
 
1.8%
코 629
 
1.6%
대 593
 
1.5%
Other values (315) 25281
66.0%
Uppercase Letter
ValueCountFrequency (%)
S 204
23.5%
K 140
16.1%
C 130
15.0%
L 74
 
8.5%
J 58
 
6.7%
E 56
 
6.5%
I 54
 
6.2%
T 38
 
4.4%
O 25
 
2.9%
R 25
 
2.9%
Other values (6) 63
 
7.3%
Lowercase Letter
ValueCountFrequency (%)
b 57
30.2%
t 54
28.6%
h 53
28.0%
e 5
 
2.6%
a 5
 
2.6%
k 4
 
2.1%
r 4
 
2.1%
s 3
 
1.6%
p 2
 
1.1%
u 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 119
81.0%
2 28
 
19.0%
Open Punctuation
ValueCountFrequency (%)
( 3452
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3452
100.0%
Space Separator
ValueCountFrequency (%)
2037
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38330
78.9%
Common 9205
 
18.9%
Latin 1056
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3677
 
9.6%
사 2069
 
5.4%
공 1328
 
3.5%
본 1258
 
3.3%
한 1063
 
2.8%
장 888
 
2.3%
스 865
 
2.3%
국 678
 
1.8%
코 629
 
1.6%
대 593
 
1.5%
Other values (316) 25282
66.0%
Latin
ValueCountFrequency (%)
S 204
19.3%
K 140
13.3%
C 130
12.3%
L 74
 
7.0%
J 58
 
5.5%
b 57
 
5.4%
E 56
 
5.3%
t 54
 
5.1%
I 54
 
5.1%
h 53
 
5.0%
Other values (17) 176
16.7%
Common
ValueCountFrequency (%)
( 3452
37.5%
) 3452
37.5%
2037
22.1%
1 119
 
1.3%
_ 106
 
1.2%
2 28
 
0.3%
- 10
 
0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38329
78.9%
ASCII 10261
 
21.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 3677
 
9.6%
사 2069
 
5.4%
공 1328
 
3.5%
본 1258
 
3.3%
한 1063
 
2.8%
장 888
 
2.3%
스 865
 
2.3%
국 678
 
1.8%
코 629
 
1.6%
대 593
 
1.5%
Other values (315) 25281
66.0%
ASCII
ValueCountFrequency (%)
( 3452
33.6%
) 3452
33.6%
2037
19.9%
S 204
 
2.0%
K 140
 
1.4%
C 130
 
1.3%
1 119
 
1.2%
_ 106
 
1.0%
L 74
 
0.7%
J 58
 
0.6%
Other values (25) 489
 
4.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업체유형
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
제조
3436 
기타서비스
670 
기타산업
500 
공공행정
383 
교육서비스
 
77

Length

Max length5
Median length2
Mean length2.7867661
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조 3436
67.5%
기타서비스 670
 
13.2%
기타산업 500
 
9.8%
공공행정 383
 
7.5%
교육서비스 77
 
1.5%
보건 27
 
0.5%

Length

2023-12-13T05:59:52.146320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:59:52.251717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제조 3436
67.5%
기타서비스 670
 
13.2%
기타산업 500
 
9.8%
공공행정 383
 
7.5%
교육서비스 77
 
1.5%
보건 27
 
0.5%

업체특성
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
배출권할당대상업체
2608 
온실가스목표관리업체
1337 
공공기관
464 
녹색기업
358 
지방공단
 
125
Other values (5)
 
201

Length

Max length10
Median length9
Mean length8.1981151
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
배출권할당대상업체 2608
51.2%
온실가스목표관리업체 1337
26.3%
공공기관 464
 
9.1%
녹색기업 358
 
7.0%
지방공단 125
 
2.5%
지방자치단체 88
 
1.7%
국공립대학 50
 
1.0%
중앙행정기관 42
 
0.8%
지방공사 12
 
0.2%
지방의료원 9
 
0.2%

Length

2023-12-13T05:59:52.445027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:59:52.587090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배출권할당대상업체 2608
51.2%
온실가스목표관리업체 1337
26.3%
공공기관 464
 
9.1%
녹색기업 358
 
7.0%
지방공단 125
 
2.5%
지방자치단체 88
 
1.7%
국공립대학 50
 
1.0%
중앙행정기관 42
 
0.8%
지방공사 12
 
0.2%
지방의료원 9
 
0.2%

업종
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
제조업
3347 
전기, 가스, 증기 및 수도사업
502 
도매 및 소매업
 
266
운수업
 
252
공공행정, 국방 및 사회보장 행정
 
197
Other values (11)
529 

Length

Max length23
Median length3
Mean length6.2008639
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제조업 3347
65.7%
전기, 가스, 증기 및 수도사업 502
 
9.9%
도매 및 소매업 266
 
5.2%
운수업 252
 
4.9%
공공행정, 국방 및 사회보장 행정 197
 
3.9%
광업 81
 
1.6%
숙박 및 음식점업 77
 
1.5%
사업시설관리 및 사업지원 서비스업 74
 
1.5%
교육 서비스업 66
 
1.3%
하수·폐기물 처리, 원료재생 및 환경복원업 64
 
1.3%
Other values (6) 167
 
3.3%

Length

2023-12-13T05:59:52.742977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조업 3347
34.7%
및 1339
13.9%
전기 502
 
5.2%
가스 502
 
5.2%
증기 502
 
5.2%
수도사업 502
 
5.2%
도매 266
 
2.8%
소매업 266
 
2.8%
운수업 252
 
2.6%
서비스업 248
 
2.6%
Other values (29) 1913
19.8%

세부업종
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
화학물질 및 화학제품 제조업;의약품 제외
607 
전기, 가스, 증기 및 공기조절 공급업
501 
비금속 광물제품 제조업
380 
1차 금속 제조업
366 
전자부품, 컴퓨터, 영상, 음향 및 통신장비 제조업
344 
Other values (41)
2895 

Length

Max length28
Median length20
Mean length15.293933
Min length3

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row1차 금속 제조업
2nd row비금속 광물제품 제조업
3rd row비금속 광물제품 제조업
4th row비금속 광물제품 제조업
5th row비금속 광물제품 제조업

Common Values

ValueCountFrequency (%)
화학물질 및 화학제품 제조업;의약품 제외 607
 
11.9%
전기, 가스, 증기 및 공기조절 공급업 501
 
9.8%
비금속 광물제품 제조업 380
 
7.5%
1차 금속 제조업 366
 
7.2%
전자부품, 컴퓨터, 영상, 음향 및 통신장비 제조업 344
 
6.8%
소매업; 자동차 제외 261
 
5.1%
기타 제품 제조업 238
 
4.7%
식료품 제조업 232
 
4.6%
고무제품 및 플라스틱제품 제조업 223
 
4.4%
공공행정, 국방 및 사회보장 행정 197
 
3.9%
Other values (36) 1744
34.2%

Length

2023-12-13T05:59:52.863192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 2872
 
13.9%
제조업 2616
 
12.7%
제외 1095
 
5.3%
화학물질 607
 
2.9%
화학제품 607
 
2.9%
제조업;의약품 607
 
2.9%
전기 501
 
2.4%
가스 501
 
2.4%
증기 501
 
2.4%
공기조절 501
 
2.4%
Other values (97) 10245
49.6%

항목
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
08.에너지 사용량
1013 
16.폐기물 발생량 · 재활용량
746 
14.대기오염물질 배출량
612 
15.수질오염물질 배출량
596 
14.폐기물 발생량 · 재활용량
483 
Other values (12)
1643 

Length

Max length49
Median length40
Mean length14.808364
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07.용수 사용량 · 재활용량
2nd row01.업종, 생산제품, 매출액, 생산량, 종업원수
3rd row07.용수 사용량 · 재활용량
4th row07.용수 사용량 · 재활용량
5th row07.용수 사용량 · 재활용량

Common Values

ValueCountFrequency (%)
08.에너지 사용량 1013
19.9%
16.폐기물 발생량 · 재활용량 746
14.6%
14.대기오염물질 배출량 612
12.0%
15.수질오염물질 배출량 596
11.7%
14.폐기물 발생량 · 재활용량 483
9.5%
07.에너지 사용량 392
 
7.7%
17.화학물질 배출량 280
 
5.5%
07.용수 사용량 · 재활용량 270
 
5.3%
01.업종, 생산제품, 매출액, 생산량, 종업원수 222
 
4.4%
06.원부자재 사용량 124
 
2.4%
Other values (7) 355
 
7.0%

Length

2023-12-13T05:59:53.009168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사용량 1896
12.6%
배출량 1662
11.0%
· 1596
10.6%
재활용량 1596
10.6%
발생량 1229
 
8.2%
08.에너지 1013
 
6.7%
16.폐기물 746
 
5.0%
14.대기오염물질 612
 
4.1%
15.수질오염물질 596
 
4.0%
14.폐기물 483
 
3.2%
Other values (27) 3617
24.0%

정정세목
Text

Distinct96
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
2023-12-13T05:59:53.246619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length10.610446
Min length2

Characters and Unicode

Total characters54039
Distinct characters106
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

Unique1 ?
Unique (%)< 0.1%

Sample

1st row용수 재활용량
2nd row국내 종업원수
3rd row용수 사용량
4th row용수원단위(매출액)
5th row용수원단위(인원수)
ValueCountFrequency (%)
폐기물발생총량 540
 
6.8%
총량 513
 
6.5%
원단위(생산량 354
 
4.5%
원단위(인원수 354
 
4.5%
원단위(매출액 354
 
4.5%
단위 309
 
3.9%
화학물질 284
 
3.6%
발생량 282
 
3.6%
에너지원단위(생산량 248
 
3.1%
에너지원단위(인원수 248
 
3.1%
Other values (86) 4445
56.0%
2023-12-13T05:59:53.622088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 4039
 
7.5%
( 3528
 
6.5%
) 3528
 
6.5%
단 3141
 
5.8%
위 3141
 
5.8%
량 3055
 
5.7%
2838
 
5.3%
물 2164
 
4.0%
생 2073
 
3.8%
수 1603
 
3.0%
Other values (96) 24929
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42251
78.2%
Open Punctuation 3528
 
6.5%
Close Punctuation 3528
 
6.5%
Space Separator 2838
 
5.3%
Uppercase Letter 1536
 
2.8%
Lowercase Letter 256
 
0.5%
Dash Punctuation 60
 
0.1%
Other Punctuation 42
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 4039
 
9.6%
단 3141
 
7.4%
위 3141
 
7.4%
량 3055
 
7.2%
물 2164
 
5.1%
생 2073
 
4.9%
수 1603
 
3.8%
기 1521
 
3.6%
산 1486
 
3.5%
총 1389
 
3.3%
Other values (77) 18639
44.1%
Uppercase Letter
ValueCountFrequency (%)
O 311
20.2%
P 255
16.6%
N 224
14.6%
S 164
10.7%
M 156
10.2%
G 125
8.1%
L 125
8.1%
D 55
 
3.6%
T 54
 
3.5%
B 34
 
2.2%
Other values (2) 33
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 30
71.4%
/ 12
 
28.6%
Open Punctuation
ValueCountFrequency (%)
( 3528
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3528
100.0%
Space Separator
ValueCountFrequency (%)
2838
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42251
78.2%
Common 9996
 
18.5%
Latin 1792
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 4039
 
9.6%
단 3141
 
7.4%
위 3141
 
7.4%
량 3055
 
7.2%
물 2164
 
5.1%
생 2073
 
4.9%
수 1603
 
3.8%
기 1521
 
3.6%
산 1486
 
3.5%
총 1389
 
3.3%
Other values (77) 18639
44.1%
Latin
ValueCountFrequency (%)
O 311
17.4%
x 256
14.3%
P 255
14.2%
N 224
12.5%
S 164
9.2%
M 156
8.7%
G 125
7.0%
L 125
7.0%
D 55
 
3.1%
T 54
 
3.0%
Other values (3) 67
 
3.7%
Common
ValueCountFrequency (%)
( 3528
35.3%
) 3528
35.3%
2838
28.4%
- 60
 
0.6%
. 30
 
0.3%
/ 12
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42251
78.2%
ASCII 11788
 
21.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 4039
 
9.6%
단 3141
 
7.4%
위 3141
 
7.4%
량 3055
 
7.2%
물 2164
 
5.1%
생 2073
 
4.9%
수 1603
 
3.8%
기 1521
 
3.6%
산 1486
 
3.5%
총 1389
 
3.3%
Other values (77) 18639
44.1%
ASCII
ValueCountFrequency (%)
( 3528
29.9%
) 3528
29.9%
2838
24.1%
O 311
 
2.6%
x 256
 
2.2%
P 255
 
2.2%
N 224
 
1.9%
S 164
 
1.4%
M 156
 
1.3%
G 125
 
1.1%
Other values (9) 403
 
3.4%

정정 전
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED  ZEROS 

Distinct3314
Distinct (%)67.1%
Missing156
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean6774273.2
Minimum0
Maximum1.865454 × 1010
Zeros837
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2023-12-13T05:59:53.796191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.42 × 10-5
median0.50800386
Q3454.44159
95-th percentile367012
Maximum1.865454 × 1010
Range1.865454 × 1010
Interquartile range (IQR)454.44156

Descriptive statistics

Standard deviation2.756318 × 108
Coefficient of variation (CV)40.688026
Kurtosis4256.8944
Mean6774273.2
Median Absolute Deviation (MAD)0.50800386
Skewness63.566705
Sum3.3444587 × 1010
Variance7.5972891 × 1016
MonotonicityNot monotonic
2023-12-13T05:59:54.050154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 837
 
16.4%
3.1 6
 
0.1%
0.8 6
 
0.1%
2.97e-06 6
 
0.1%
265950.0 6
 
0.1%
360.0 5
 
0.1%
0.019011312 5
 
0.1%
10.0 5
 
0.1%
2.31e-06 5
 
0.1%
36.0 5
 
0.1%
Other values (3304) 4051
79.5%
(Missing) 156
 
3.1%
ValueCountFrequency (%)
0.0 837
16.4%
3.04e-16 2
 
< 0.1%
4.41e-15 2
 
< 0.1%
1.41e-14 2
 
< 0.1%
2.04e-13 2
 
< 0.1%
3.48e-13 2
 
< 0.1%
1.04e-12 2
 
< 0.1%
2.71e-12 2
 
< 0.1%
4.25e-12 2
 
< 0.1%
5.04e-12 2
 
< 0.1%
ValueCountFrequency (%)
18654540000.0 1
< 0.1%
4000000000.0 1
< 0.1%
2375891000.0 1
< 0.1%
1671508820.0 1
< 0.1%
717679674.0 1
< 0.1%
717105443.0 2
< 0.1%
608193383.0 1
< 0.1%
483830162.0 2
< 0.1%
342172752.0 1
< 0.1%
342000000.0 1
< 0.1%

정전 전 단위
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
<NA>
3362 
ton
1007 
명
 
150
ℓ
 
125
백만원
 
98
Other values (15)
351 

Length

Max length9
Median length4
Mean length3.5570391
Min length1

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st rowton
2nd row명
3rd rowton
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3362
66.0%
ton 1007
 
19.8%
명 150
 
2.9%
ℓ 125
 
2.5%
백만원 98
 
1.9%
TOE 88
 
1.7%
kg 81
 
1.6%
N㎥ 66
 
1.3%
Kwh 58
 
1.1%
ton CO²eq 26
 
0.5%
Other values (10) 32
 
0.6%

Length

2023-12-13T05:59:54.228033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3362
65.7%
ton 1034
 
20.2%
명 150
 
2.9%
ℓ 125
 
2.4%
백만원 98
 
1.9%
toe 88
 
1.7%
kg 81
 
1.6%
n㎥ 66
 
1.3%
kwh 58
 
1.1%
co²eq 26
 
0.5%
Other values (10) 32
 
0.6%

정전 후
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct3760
Distinct (%)74.0%
Missing15
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean8748569.8
Minimum0
Maximum1.4959235 × 1010
Zeros776
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size44.9 KiB
2023-12-13T05:59:54.385746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.9075 × 10-5
median0.70785079
Q3473.855
95-th percentile224358.25
Maximum1.4959235 × 1010
Range1.4959235 × 1010
Interquartile range (IQR)473.85495

Descriptive statistics

Standard deviation2.9833179 × 108
Coefficient of variation (CV)34.100635
Kurtosis1869.4013
Mean8748569.8
Median Absolute Deviation (MAD)0.70785079
Skewness42.217322
Sum4.4425238 × 1010
Variance8.9001856 × 1016
MonotonicityNot monotonic
2023-12-13T05:59:54.538025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 776
 
15.2%
429.0 6
 
0.1%
0.8 5
 
0.1%
1270.75 4
 
0.1%
3.39 4
 
0.1%
71.4 4
 
0.1%
3.06e-06 4
 
0.1%
3.68e-05 4
 
0.1%
2.7e-06 4
 
0.1%
410.0 4
 
0.1%
Other values (3750) 4263
83.7%
(Missing) 15
 
0.3%
ValueCountFrequency (%)
0.0 776
15.2%
3.73e-11 1
 
< 0.1%
2.49e-10 2
 
< 0.1%
5.22e-10 1
 
< 0.1%
9.88e-10 1
 
< 0.1%
1.6e-09 2
 
< 0.1%
1.9e-09 1
 
< 0.1%
1.91e-09 1
 
< 0.1%
2.26e-09 1
 
< 0.1%
2.27e-09 1
 
< 0.1%
ValueCountFrequency (%)
14959235000.0 1
< 0.1%
11667448000.0 1
< 0.1%
9068689000.0 1
< 0.1%
2375891000.0 1
< 0.1%
1671508820.0 1
< 0.1%
717679674.0 1
< 0.1%
717104599.0 1
< 0.1%
477220614.0 2
< 0.1%
220327800.0 1
< 0.1%
196388900.0 1
< 0.1%

정전 단위
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct21
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size39.9 KiB
<NA>
3361 
ton
1007 
명
 
150
ℓ
 
125
백만원
 
97
Other values (16)
353 

Length

Max length9
Median length4
Mean length3.555861
Min length1

Unique

Unique8 ?
Unique (%)0.2%

Sample

1st rowton
2nd row명
3rd rowton
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 3361
66.0%
ton 1007
 
19.8%
명 150
 
2.9%
ℓ 125
 
2.5%
백만원 97
 
1.9%
TOE 88
 
1.7%
kg 82
 
1.6%
N㎥ 66
 
1.3%
Kwh 58
 
1.1%
ton CO²eq 26
 
0.5%
Other values (11) 33
 
0.6%

Length

2023-12-13T05:59:54.689115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3361
65.7%
ton 1034
 
20.2%
명 150
 
2.9%
ℓ 125
 
2.4%
백만원 97
 
1.9%
toe 88
 
1.7%
kg 82
 
1.6%
n㎥ 66
 
1.3%
kwh 58
 
1.1%
co²eq 26
 
0.5%
Other values (9) 32
 
0.6%

Interactions

2023-12-13T05:59:49.669857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:48.969887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:49.315894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:49.791019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:49.080238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:49.428044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:49.917459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:49.188797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:59:49.542152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:59:54.782799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분업체유형업체특성업종세부업종항목정정세목정정 전정전 전 단위정전 후정전 단위
번호1.0000.1710.2190.4110.3990.6570.4140.3320.0000.3640.0000.425
구분0.1711.0000.2680.5350.5090.6520.1770.0000.0110.1320.0170.133
업체유형0.2190.2681.0000.8260.9540.9770.7810.5320.0000.3660.0530.366
업체특성0.4110.5350.8261.0000.8740.9340.6750.3340.0000.3040.0140.352
업종0.3990.5090.9540.8741.0001.0000.7560.5780.0000.3470.0000.352
세부업종0.6570.6520.9770.9341.0001.0000.8610.6060.0000.4920.0000.505
항목0.4140.1770.7810.6750.7560.8611.0000.9800.0000.8340.0000.835
정정세목0.3320.0000.5320.3340.5780.6060.9801.0000.5730.9650.6740.963
정정 전0.0000.0110.0000.0000.0000.0000.0000.5731.0000.1280.6470.135
정전 전 단위0.3640.1320.3660.3040.3470.4920.8340.9650.1281.0000.1330.999
정전 후0.0000.0170.0530.0140.0000.0000.0000.6740.6470.1331.0000.140
정전 단위0.4250.1330.3660.3520.3520.5050.8350.9630.1350.9990.1401.000
2023-12-13T05:59:54.932730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분세부업종업체유형정전 단위항목정전 전 단위업체특성업종
구분1.0000.5260.1920.1040.1590.1160.4120.401
세부업종0.5261.0000.8610.1450.4200.1430.6680.997
업체유형0.1920.8611.0000.1780.5120.1780.6250.849
정전 단위0.1040.1450.1781.0000.4300.9890.1180.115
항목0.1590.4200.5120.4301.0000.4330.3400.355
정전 전 단위0.1160.1430.1780.9890.4331.0000.1180.116
업체특성0.4120.6680.6250.1180.3400.1181.0000.591
업종0.4010.9970.8490.1150.3550.1160.5911.000
2023-12-13T05:59:55.059287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호정정 전정전 후구분업체유형업체특성업종세부업종항목정전 전 단위정전 단위
번호1.000-0.023-0.0270.1310.1170.1370.1680.2880.1740.1450.147
정정 전-0.0231.0000.7730.0070.0000.0000.0000.0000.0000.0700.064
정전 후-0.0270.7731.0000.0210.0360.0060.0000.0000.0000.0660.060
구분0.1310.0070.0211.0000.1920.4120.4010.5260.1590.1160.104
업체유형0.1170.0000.0360.1921.0000.6250.8490.8610.5120.1780.178
업체특성0.1370.0000.0060.4120.6251.0000.5910.6680.3400.1180.118
업종0.1680.0000.0000.4010.8490.5911.0000.9970.3550.1160.115
세부업종0.2880.0000.0000.5260.8610.6680.9971.0000.4200.1430.145
항목0.1740.0000.0000.1590.5120.3400.3550.4201.0000.4330.430
정전 전 단위0.1450.0700.0660.1160.1780.1180.1160.1430.4331.0000.989
정전 단위0.1470.0640.0600.1040.1780.1180.1150.1450.4300.9891.000

Missing values

2023-12-13T05:59:50.104319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:59:50.324853image/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.
2023-12-13T05:59:50.462371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호년도구분대표사업장명업체유형업체특성업종세부업종항목정정세목정정 전정전 전 단위정전 후정전 단위
012018대표사업장대한제강(주)제조배출권할당대상업체제조업1차 금속 제조업07.용수 사용량 · 재활용량용수 재활용량131150.0ton0.0ton
122018대표사업장유니온머티리얼(주) 포항공장제조배출권할당대상업체제조업비금속 광물제품 제조업01.업종, 생산제품, 매출액, 생산량, 종업원수국내 종업원수177.0명425.0명
232018대표사업장유니온머티리얼(주) 포항공장제조배출권할당대상업체제조업비금속 광물제품 제조업07.용수 사용량 · 재활용량용수 사용량190472.0ton325525.0ton
332018대표사업장유니온머티리얼(주) 포항공장제조배출권할당대상업체제조업비금속 광물제품 제조업07.용수 사용량 · 재활용량용수원단위(매출액)2.572382<NA>4.396313<NA>
432018대표사업장유니온머티리얼(주) 포항공장제조배출권할당대상업체제조업비금속 광물제품 제조업07.용수 사용량 · 재활용량용수원단위(인원수)1076.112994<NA>1839.124294<NA>
532018대표사업장유니온머티리얼(주) 포항공장제조배출권할당대상업체제조업비금속 광물제품 제조업07.용수 사용량 · 재활용량용수원단위(생산량)10.69827<NA>18.283813<NA>
642018대표사업장한온시스템(주) 대전공장제조녹색기업제조업자동차 및 트레일러 제조업01.업종, 생산제품, 매출액, 생산량, 종업원수매출액5937585.0백만원2604671.0백만원
752018대표사업장한온시스템(주) 대전공장제조녹색기업제조업자동차 및 트레일러 제조업14.대기오염물질 배출량질소산화물(NOx)0.0ton2.019ton
852018대표사업장한온시스템(주) 대전공장제조녹색기업제조업자동차 및 트레일러 제조업14.대기오염물질 배출량질소산화물(NOx) 원단위(매출액 단위)0.0<NA>0.0<NA>
952018대표사업장한온시스템(주) 대전공장제조녹색기업제조업자동차 및 트레일러 제조업14.대기오염물질 배출량질소산화물(NOx) 원단위(인원수 단위)0.0<NA>0.001402<NA>
번호년도구분대표사업장명업체유형업체특성업종세부업종항목정정세목정정 전정전 전 단위정전 후정전 단위
50839722018사업장한국수력원자력(주) 경주본사기타산업녹색기업전기, 가스, 증기 및 수도사업전기, 가스, 증기 및 공기조절 공급업08.에너지 사용량에너지원단위(인원수)1649.40879<NA>1.71951<NA>
50849722018사업장한국수력원자력(주) 경주본사기타산업녹색기업전기, 가스, 증기 및 수도사업전기, 가스, 증기 및 공기조절 공급업08.에너지 사용량에너지원단위(생산량)0.306988<NA>0.00032<NA>
50859732018대표사업장부산광역시 동구청공공행정지방자치단체공공행정, 국방 및 사회보장 행정공공행정, 국방 및 사회보장 행정01.업종, 예산규모, 구성원수, 소속기관 현황, 환경정보공개 담당 부서국내 구성원수410.0명580.0명
50869742018사업장(주)케이씨씨제조녹색기업제조업화학물질 및 화학제품 제조업;의약품 제외16.폐기물 발생량 · 재활용량일반폐기물 발생량2195.0ton2200.0ton
50879742018사업장(주)케이씨씨제조녹색기업제조업화학물질 및 화학제품 제조업;의약품 제외16.폐기물 발생량 · 재활용량지정폐기물 발생량2196.0ton2334.0ton
50889742018사업장(주)케이씨씨제조녹색기업제조업화학물질 및 화학제품 제조업;의약품 제외16.폐기물 발생량 · 재활용량폐기물 재활용량1715.0ton1858.0ton
50899742018사업장(주)케이씨씨제조녹색기업제조업화학물질 및 화학제품 제조업;의약품 제외16.폐기물 발생량 · 재활용량폐기물발생 총량4391.0<NA>4534.0<NA>
50909742018사업장(주)케이씨씨제조녹색기업제조업화학물질 및 화학제품 제조업;의약품 제외16.폐기물 발생량 · 재활용량폐기물발생총량 원단위(매출액)0.01337<NA>0.013805<NA>
50919742018사업장(주)케이씨씨제조녹색기업제조업화학물질 및 화학제품 제조업;의약품 제외16.폐기물 발생량 · 재활용량폐기물발생총량 원단위(인원수)13.721875<NA>14.16875<NA>
50929742018사업장(주)케이씨씨제조녹색기업제조업화학물질 및 화학제품 제조업;의약품 제외16.폐기물 발생량 · 재활용량폐기물발생총량 원단위(생산량)0.042862<NA>0.044257<NA>