Overview

Dataset statistics

Number of variables20
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.5 KiB
Average record size in memory169.3 B

Variable types

Numeric7
Categorical12
Text1

Alerts

투자비 회수기간 has constant value ""Constant
투자비 회수기간 단위 has constant value ""Constant
절감액 단위 has constant value ""Constant
투자비 단위 has constant value ""Constant
연료 단위 has constant value ""Constant
전력 단위 has constant value ""Constant
감축량 단위 has constant value ""Constant
연번 is highly overall correlated with 진단연도High correlation
절감액 is highly overall correlated with 투자비 and 2 other fieldsHigh correlation
투자비 is highly overall correlated with 절감액 and 2 other fieldsHigh correlation
진단연도 is highly overall correlated with 연번High correlation
에너지 절감량(연료) is highly overall correlated with 에너지 절감량(전력)High correlation
에너지 절감량(전력) is highly overall correlated with 절감액 and 3 other fieldsHigh correlation
온실가스 감축량 is highly overall correlated with 절감액 and 2 other fieldsHigh correlation
개선 구분 is highly overall correlated with 에너지 절감 종류High correlation
에너지 절감 종류 is highly overall correlated with 개선 구분High correlation
연번 has unique valuesUnique
에너지 절감량(연료) has 82 (82.0%) zerosZeros
에너지 절감량(전력) has 15 (15.0%) zerosZeros
온실가스 감축량 has 2 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:14:41.814362
Analysis finished2023-12-10 11:14:52.175953
Duration10.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:14:52.356307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2023-12-10T20:14:52.748927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
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 (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

업종
Categorical

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
건축물
22 
화학 / 석유화학
14 
수송기계
12 
섬유/ 피혁
8 
철강
8 
Other values (8)
36 

Length

Max length19
Median length13
Mean length5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐기물
2nd row제조업 기타
3rd row식품
4th row요업
5th row건축물

Common Values

ValueCountFrequency (%)
건축물 22
22.0%
화학 / 석유화학 14
14.0%
수송기계 12
12.0%
섬유/ 피혁 8
 
8.0%
철강 8
 
8.0%
요업 7
 
7.0%
폐기물 6
 
6.0%
제조업 기타 6
 
6.0%
식품 6
 
6.0%
전기전자 (반도체 디스플레이 포함) 4
 
4.0%
Other values (3) 7
 
7.0%

Length

2023-12-10T20:14:53.087084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건축물 22
13.6%
18
 
11.1%
화학 14
 
8.6%
석유화학 14
 
8.6%
수송기계 12
 
7.4%
섬유 8
 
4.9%
피혁 8
 
4.9%
철강 8
 
4.9%
요업 7
 
4.3%
식품 6
 
3.7%
Other values (12) 45
27.8%

감축 대상 설비
Categorical

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
조명 설비
24 
공기 압축기 설비
12 
기타전기설비
11 
펌프 설비
10 
냉동 및 열-펌프 설비
7 
Other values (12)
36 

Length

Max length12
Median length11
Mean length6.63
Min length3

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st row공기 압축기 설비
2nd row열사용설비
3rd row냉동 및 열-펌프 설비
4th row수.발.배전 설비
5th row냉동 및 열-펌프 설비

Common Values

ValueCountFrequency (%)
조명 설비 24
24.0%
공기 압축기 설비 12
12.0%
기타전기설비 11
11.0%
펌프 설비 10
10.0%
냉동 및 열-펌프 설비 7
 
7.0%
수.발.배전 설비 7
 
7.0%
보일러 7
 
7.0%
열사용설비(기타) 5
 
5.0%
송풍기 설비 4
 
4.0%
열수송설비 3
 
3.0%
Other values (7) 10
10.0%

Length

2023-12-10T20:14:53.434928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
설비 68
34.7%
조명 24
 
12.2%
공기 12
 
6.1%
압축기 12
 
6.1%
기타전기설비 11
 
5.6%
펌프 10
 
5.1%
냉동 7
 
3.6%
및 7
 
3.6%
열-펌프 7
 
3.6%
수.발.배전 7
 
3.6%
Other values (13) 31
15.8%

개선 구분
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
신설비도입
12 
절전형조명설비개체
12 
노후설비대체
9 
설비대체
6 
운전방법개선
 
5
Other values (28)
56 

Length

Max length9
Median length8
Mean length6.33
Min length4

Unique

Unique13 ?
Unique (%)13.0%

Sample

1st row신설비도입
2nd row신설비도입
3rd row운전방법개선
4th row신설비도입
5th row노후설비대체

Common Values

ValueCountFrequency (%)
신설비도입 12
 
12.0%
절전형조명설비개체 12
 
12.0%
노후설비대체 9
 
9.0%
설비대체 6
 
6.0%
운전방법개선 5
 
5.0%
조명제어시스템도입 5
 
5.0%
회전수제어설비도입 5
 
5.0%
조명개선 4
 
4.0%
고효율전동기설치 4
 
4.0%
적정온도관리 3
 
3.0%
Other values (23) 35
35.0%

Length

2023-12-10T20:14:53.750750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신설비도입 12
 
12.0%
절전형조명설비개체 12
 
12.0%
노후설비대체 9
 
9.0%
설비대체 6
 
6.0%
운전방법개선 5
 
5.0%
조명제어시스템도입 5
 
5.0%
회전수제어설비도입 5
 
5.0%
조명개선 4
 
4.0%
고효율전동기설치 4
 
4.0%
적정온도관리 3
 
3.0%
Other values (23) 35
35.0%

개선활동명
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:14:54.205201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length28
Mean length14.64
Min length1

Characters and Unicode

Total characters1464
Distinct characters247
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)96.0%

Sample

1st rowVSD 공기압축기 도입
2nd row복지관 : 급탕열원 시스템 개선 : 스팀 → 전기(히트펌프), 축열식 적용
3rd row냉장창고 출입문 제어
4th row노후 된 변압기를 하이브리드변압기로 교체
5th row골프장 흡수식 냉온수기 교체
ValueCountFrequency (%)
교체 27
 
8.2%
고효율 12
 
3.6%
설치 9
 
2.7%
공기압축기 7
 
2.1%
led 5
 
1.5%
4
 
1.2%
및 4
 
1.2%
제어 4
 
1.2%
인버터 4
 
1.2%
도입 3
 
0.9%
Other values (225) 250
76.0%
2023-12-10T20:14:54.992176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
234
 
16.0%
기 62
 
4.2%
체 34
 
2.3%
교 33
 
2.3%
로 30
 
2.0%
프 27
 
1.8%
고 25
 
1.7%
전 24
 
1.6%
설 23
 
1.6%
율 23
 
1.6%
Other values (237) 949
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1115
76.2%
Space Separator 234
 
16.0%
Uppercase Letter 57
 
3.9%
Decimal Number 17
 
1.2%
Lowercase Letter 15
 
1.0%
Other Punctuation 9
 
0.6%
Dash Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 62
 
5.6%
체 34
 
3.0%
교 33
 
3.0%
로 30
 
2.7%
프 27
 
2.4%
고 25
 
2.2%
전 24
 
2.2%
설 23
 
2.1%
율 23
 
2.1%
효 23
 
2.1%
Other values (190) 811
72.7%
Uppercase Letter
ValueCountFrequency (%)
E 11
19.3%
D 10
17.5%
L 9
15.8%
P 3
 
5.3%
S 3
 
5.3%
H 3
 
5.3%
W 2
 
3.5%
V 2
 
3.5%
A 2
 
3.5%
M 2
 
3.5%
Other values (9) 10
17.5%
Lowercase Letter
ValueCountFrequency (%)
o 3
20.0%
s 2
13.3%
e 2
13.3%
n 1
 
6.7%
r 1
 
6.7%
w 1
 
6.7%
l 1
 
6.7%
t 1
 
6.7%
a 1
 
6.7%
f 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
5 5
29.4%
1 4
23.5%
3 3
17.6%
0 2
 
11.8%
2 2
 
11.8%
4 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 5
55.6%
. 2
 
22.2%
: 2
 
22.2%
Open Punctuation
ValueCountFrequency (%)
( 4
80.0%
[ 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 4
80.0%
] 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
+ 1
50.0%
→ 1
50.0%
Space Separator
ValueCountFrequency (%)
234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1115
76.2%
Common 277
 
18.9%
Latin 72
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 62
 
5.6%
체 34
 
3.0%
교 33
 
3.0%
로 30
 
2.7%
프 27
 
2.4%
고 25
 
2.2%
전 24
 
2.2%
설 23
 
2.1%
율 23
 
2.1%
효 23
 
2.1%
Other values (190) 811
72.7%
Latin
ValueCountFrequency (%)
E 11
15.3%
D 10
13.9%
L 9
 
12.5%
P 3
 
4.2%
S 3
 
4.2%
o 3
 
4.2%
H 3
 
4.2%
s 2
 
2.8%
e 2
 
2.8%
W 2
 
2.8%
Other values (20) 24
33.3%
Common
ValueCountFrequency (%)
234
84.5%
5 5
 
1.8%
- 5
 
1.8%
, 5
 
1.8%
( 4
 
1.4%
1 4
 
1.4%
) 4
 
1.4%
3 3
 
1.1%
0 2
 
0.7%
. 2
 
0.7%
Other values (7) 9
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1115
76.2%
ASCII 348
 
23.8%
Arrows 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
234
67.2%
E 11
 
3.2%
D 10
 
2.9%
L 9
 
2.6%
5 5
 
1.4%
- 5
 
1.4%
, 5
 
1.4%
( 4
 
1.1%
1 4
 
1.1%
) 4
 
1.1%
Other values (36) 57
 
16.4%
Hangul
ValueCountFrequency (%)
기 62
 
5.6%
체 34
 
3.0%
교 33
 
3.0%
로 30
 
2.7%
프 27
 
2.4%
고 25
 
2.2%
전 24
 
2.2%
설 23
 
2.1%
율 23
 
2.1%
효 23
 
2.1%
Other values (190) 811
72.7%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

투자비 회수기간
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
5
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 100
100.0%

Length

2023-12-10T20:14:55.329802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:14:55.499968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 100
100.0%

투자비 회수기간 단위
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
yr
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
yr 100
100.0%

Length

2023-12-10T20:14:55.693522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:14:55.877902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
yr 100
100.0%

절감액
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.0808
Minimum0.06
Maximum800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:14:56.070067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.1
Q10.675
median3.05
Q310
95-th percentile120.165
Maximum800
Range799.94
Interquartile range (IQR)9.325

Descriptive statistics

Standard deviation89.216112
Coefficient of variation (CV)3.5571478
Kurtosis59.198795
Mean25.0808
Median Absolute Deviation (MAD)2.74
Skewness7.1663282
Sum2508.08
Variance7959.5147
MonotonicityNot monotonic
2023-12-10T20:14:56.343086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 5
 
5.0%
4.0 5
 
5.0%
2.0 5
 
5.0%
1.0 4
 
4.0%
0.3 4
 
4.0%
1.2 4
 
4.0%
0.2 3
 
3.0%
10.0 3
 
3.0%
3.0 2
 
2.0%
0.1 2
 
2.0%
Other values (59) 63
63.0%
ValueCountFrequency (%)
0.06 2
2.0%
0.08 1
 
1.0%
0.09 1
 
1.0%
0.1 2
2.0%
0.2 3
3.0%
0.24 1
 
1.0%
0.27 1
 
1.0%
0.3 4
4.0%
0.32 1
 
1.0%
0.4 2
2.0%
ValueCountFrequency (%)
800.0 1
1.0%
308.16 1
1.0%
141.23 1
1.0%
140.09 1
1.0%
123.3 1
1.0%
120.0 1
1.0%
119.96 1
1.0%
107.17 1
1.0%
90.01 1
1.0%
57.2 1
1.0%

절감액 단위
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
백만원/yr
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row백만원/yr
2nd row백만원/yr
3rd row백만원/yr
4th row백만원/yr
5th row백만원/yr

Common Values

ValueCountFrequency (%)
백만원/yr 100
100.0%

Length

2023-12-10T20:14:56.567664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:14:56.725757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
백만원/yr 100
100.0%

투자비
Real number (ℝ)

HIGH CORRELATION 

Distinct67
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.3991
Minimum0.3
Maximum4000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:14:56.945065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.5
Q13.375
median15.25
Q350
95-th percentile600.85
Maximum4000
Range3999.7
Interquartile range (IQR)46.625

Descriptive statistics

Standard deviation446.05718
Coefficient of variation (CV)3.5571004
Kurtosis59.209728
Mean125.3991
Median Absolute Deviation (MAD)13.7
Skewness7.1669421
Sum12539.91
Variance198967.01
MonotonicityNot monotonic
2023-12-10T20:14:57.204842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0 5
 
5.0%
3.0 5
 
5.0%
10.0 5
 
5.0%
5.0 4
 
4.0%
1.5 4
 
4.0%
50.0 4
 
4.0%
6.0 4
 
4.0%
1.0 3
 
3.0%
35.0 2
 
2.0%
0.3 2
 
2.0%
Other values (57) 62
62.0%
ValueCountFrequency (%)
0.3 2
2.0%
0.4 1
 
1.0%
0.45 1
 
1.0%
0.5 2
2.0%
1.0 3
3.0%
1.2 1
 
1.0%
1.35 1
 
1.0%
1.5 4
4.0%
1.6 1
 
1.0%
2.0 2
2.0%
ValueCountFrequency (%)
4000.0 1
1.0%
1540.0 1
1.0%
706.15 1
1.0%
700.0 1
1.0%
617.0 1
1.0%
600.0 2
2.0%
536.0 1
1.0%
450.0 1
1.0%
285.8 1
1.0%
217.14 1
1.0%

투자비 단위
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
백만원
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
백만원 100
100.0%

Length

2023-12-10T20:14:57.506835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:14:57.789605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
백만원 100
100.0%

진단연도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.13
Minimum2009
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:14:57.960498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2010
Q12011
median2014
Q32017
95-th percentile2019.05
Maximum2020
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.2494133
Coefficient of variation (CV)0.0016133086
Kurtosis-1.127321
Mean2014.13
Median Absolute Deviation (MAD)3
Skewness0.16436072
Sum201413
Variance10.558687
MonotonicityDecreasing
2023-12-10T20:14:58.234268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2010 15
15.0%
2014 13
13.0%
2015 9
9.0%
2011 9
9.0%
2018 8
8.0%
2016 8
8.0%
2012 8
8.0%
2019 7
7.0%
2017 7
7.0%
2013 7
7.0%
Other values (2) 9
9.0%
ValueCountFrequency (%)
2009 4
 
4.0%
2010 15
15.0%
2011 9
9.0%
2012 8
8.0%
2013 7
7.0%
2014 13
13.0%
2015 9
9.0%
2016 8
8.0%
2017 7
7.0%
2018 8
8.0%
ValueCountFrequency (%)
2020 5
 
5.0%
2019 7
7.0%
2018 8
8.0%
2017 7
7.0%
2016 8
8.0%
2015 9
9.0%
2014 13
13.0%
2013 7
7.0%
2012 8
8.0%
2011 9
9.0%

에너지 사용량 규모
Categorical

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
5천toe 이하
50 
5천teo ~ 1만toe
27 
1만teo ~ 2만toe
9 
2만teo ~ 5만toe
8 
5만teo ~ 10만toe
 
4
Other values (2)
 
2

Length

Max length15
Median length14.5
Mean length10.52
Min length8

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row5천toe 이하
2nd row1만teo ~ 2만toe
3rd row5천toe 이하
4th row5천teo ~ 1만toe
5th row5천teo ~ 1만toe

Common Values

ValueCountFrequency (%)
5천toe 이하 50
50.0%
5천teo ~ 1만toe 27
27.0%
1만teo ~ 2만toe 9
 
9.0%
2만teo ~ 5만toe 8
 
8.0%
5만teo ~ 10만toe 4
 
4.0%
20만 toe이상 1
 
1.0%
10만teo ~ 20만toe 1
 
1.0%

Length

2023-12-10T20:14:58.477671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:14:58.694186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5천toe 50
20.1%
이하 50
20.1%
49
19.7%
5천teo 27
10.8%
1만toe 27
10.8%
1만teo 9
 
3.6%
2만toe 9
 
3.6%
2만teo 8
 
3.2%
5만toe 8
 
3.2%
5만teo 4
 
1.6%
Other values (5) 8
 
3.2%

에너지 절감 종류
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
(2011)전기(소비기준)
38 
전력
30 
전기(소비기준)
13 
도시가스(LNG)
6 
증기
 
3
Other values (6)
10 

Length

Max length15
Median length14
Mean length8.45
Min length2

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row전기(소비기준)
2nd row도시가스(LNG)
3rd row전기(소비기준)
4th row전기(소비기준)
5th row전기기타

Common Values

ValueCountFrequency (%)
(2011)전기(소비기준) 38
38.0%
전력 30
30.0%
전기(소비기준) 13
 
13.0%
도시가스(LNG) 6
 
6.0%
증기 3
 
3.0%
(2011)증기 3
 
3.0%
(2011)도시가스(LNG) 3
 
3.0%
전기기타 1
 
1.0%
도시가스(LPG) 1
 
1.0%
보일러등유 1
 
1.0%

Length

2023-12-10T20:14:58.920468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2011)전기(소비기준 38
38.0%
전력 30
30.0%
전기(소비기준 13
 
13.0%
도시가스(lng 6
 
6.0%
증기 3
 
3.0%
2011)증기 3
 
3.0%
2011)도시가스(lng 3
 
3.0%
전기기타 1
 
1.0%
도시가스(lpg 1
 
1.0%
보일러등유 1
 
1.0%

에너지 절감량(연료)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5631
Minimum0
Maximum504.7
Zeros82
Zeros (%)82.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:14:59.111015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13.604
Maximum504.7
Range504.7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.732054
Coefficient of variation (CV)7.729892
Kurtosis96.671099
Mean6.5631
Median Absolute Deviation (MAD)0
Skewness9.7622856
Sum656.31
Variance2573.7413
MonotonicityNot monotonic
2023-12-10T20:14:59.340987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 82
82.0%
0.7 2
 
2.0%
0.1 2
 
2.0%
1.2 2
 
2.0%
504.7 1
 
1.0%
0.54 1
 
1.0%
13.42 1
 
1.0%
17.1 1
 
1.0%
43.44 1
 
1.0%
37.3 1
 
1.0%
Other values (6) 6
 
6.0%
ValueCountFrequency (%)
0.0 82
82.0%
0.1 2
 
2.0%
0.41 1
 
1.0%
0.5 1
 
1.0%
0.54 1
 
1.0%
0.7 2
 
2.0%
1.2 2
 
2.0%
1.7 1
 
1.0%
3.7 1
 
1.0%
5.3 1
 
1.0%
ValueCountFrequency (%)
504.7 1
1.0%
43.44 1
1.0%
37.3 1
1.0%
24.2 1
1.0%
17.1 1
1.0%
13.42 1
1.0%
5.3 1
1.0%
3.7 1
1.0%
1.7 1
1.0%
1.2 2
2.0%

연료 단위
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
toe/yr
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowtoe/yr
2nd rowtoe/yr
3rd rowtoe/yr
4th rowtoe/yr
5th rowtoe/yr

Common Values

ValueCountFrequency (%)
toe/yr 100
100.0%

Length

2023-12-10T20:14:59.546377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:14:59.714573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
toe/yr 100
100.0%

에너지 절감량(전력)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct80
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.2385
Minimum-37.59
Maximum796
Zeros15
Zeros (%)15.0%
Negative2
Negative (%)2.0%
Memory size1.0 KiB
2023-12-10T20:14:59.927542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-37.59
5-th percentile0
Q10.5075
median4.27
Q314.875
95-th percentile270.2185
Maximum796
Range833.59
Interquartile range (IQR)14.3675

Descriptive statistics

Standard deviation123.20812
Coefficient of variation (CV)2.8495003
Kurtosis19.293163
Mean43.2385
Median Absolute Deviation (MAD)4.27
Skewness4.1797402
Sum4323.85
Variance15180.24
MonotonicityNot monotonic
2023-12-10T20:15:00.187944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 15
 
15.0%
2.0 4
 
4.0%
13.1 2
 
2.0%
0.5 2
 
2.0%
0.8 2
 
2.0%
6.6 1
 
1.0%
1.2 1
 
1.0%
11.01 1
 
1.0%
10.38 1
 
1.0%
8.7 1
 
1.0%
Other values (70) 70
70.0%
ValueCountFrequency (%)
-37.59 1
 
1.0%
-11.9 1
 
1.0%
0.0 15
15.0%
0.02 1
 
1.0%
0.1 1
 
1.0%
0.19 1
 
1.0%
0.2 1
 
1.0%
0.4 1
 
1.0%
0.41 1
 
1.0%
0.5 2
 
2.0%
ValueCountFrequency (%)
796.0 1
1.0%
605.75 1
1.0%
501.63 1
1.0%
312.79 1
1.0%
312.37 1
1.0%
268.0 1
1.0%
223.05 1
1.0%
205.82 1
1.0%
154.6 1
1.0%
137.66 1
1.0%

전력 단위
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
toe/yr
100 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowtoe/yr
2nd rowtoe/yr
3rd rowtoe/yr
4th rowtoe/yr
5th rowtoe/yr

Common Values

ValueCountFrequency (%)
toe/yr 100
100.0%

Length

2023-12-10T20:15:00.442104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:15:00.603372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
toe/yr 100
100.0%

온실가스 감축량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.0651
Minimum0
Maximum996.3
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:15:00.803513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.098
Q10.7575
median3.335
Q38.7775
95-th percentile147.5125
Maximum996.3
Range996.3
Interquartile range (IQR)8.02

Descriptive statistics

Standard deviation111.08814
Coefficient of variation (CV)3.6949201
Kurtosis59.265663
Mean30.0651
Median Absolute Deviation (MAD)2.945
Skewness7.1589802
Sum3006.51
Variance12340.576
MonotonicityNot monotonic
2023-12-10T20:15:01.095149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.08 3
 
3.0%
0.06 2
 
2.0%
0.27 2
 
2.0%
0.97 2
 
2.0%
0.0 2
 
2.0%
3.6 1
 
1.0%
7.04 1
 
1.0%
13.98 1
 
1.0%
5.92 1
 
1.0%
5.58 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
0.0 2
2.0%
0.01 1
1.0%
0.06 2
2.0%
0.1 1
1.0%
0.11 1
1.0%
0.22 1
1.0%
0.23 1
1.0%
0.26 1
1.0%
0.27 2
2.0%
0.28 1
1.0%
ValueCountFrequency (%)
996.3 1
1.0%
330.65 1
1.0%
279.82 1
1.0%
174.25 1
1.0%
170.74 1
1.0%
146.29 1
1.0%
124.42 1
1.0%
112.35 1
1.0%
83.12 1
1.0%
74.02 1
1.0%

감축량 단위
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
tCO₂/yr
100 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowtCO₂/yr
2nd rowtCO₂/yr
3rd rowtCO₂/yr
4th rowtCO₂/yr
5th rowtCO₂/yr

Common Values

ValueCountFrequency (%)
tCO₂/yr 100
100.0%

Length

2023-12-10T20:15:01.343346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:15:01.510707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
tco₂/yr 100
100.0%

Interactions

2023-12-10T20:14:50.089192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:43.452598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:44.505321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:45.722150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:46.901454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:48.037246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:49.032347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:50.238966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:43.606459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:44.686550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:45.881649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:47.078808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:48.191083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:49.139404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:50.408244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:43.775686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:44.891376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:46.053464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:47.260703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:48.340958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:49.294952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:50.564301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:43.938042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:45.079639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:46.231922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:47.434665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:48.498497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:49.491234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:50.707777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:44.085353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:45.229138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:46.438045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:47.596521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:48.645404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:49.656606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:50.819221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:44.220543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:45.384399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:46.606113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:47.761935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:48.799937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:49.800004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:50.953408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:44.361172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:45.548215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:46.757830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:47.899974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:48.923427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:14:49.934312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:15:01.631558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종감축 대상 설비개선 구분개선활동명절감액투자비진단연도에너지 사용량 규모에너지 절감 종류에너지 절감량(연료)에너지 절감량(전력)온실가스 감축량
연번1.0000.2120.2040.2240.8700.0960.0960.9800.0000.6710.0410.0000.141
업종0.2121.0000.0000.5420.9360.0000.0000.0000.2560.0000.0000.0000.000
감축 대상 설비0.2040.0001.0000.8980.0000.0000.0000.3140.0000.7030.2170.0000.000
개선 구분0.2240.5420.8981.0000.9500.7910.7910.3410.5460.9540.1160.5230.683
개선활동명0.8700.9360.0000.9501.0001.0001.0000.9560.9960.9811.0001.0001.000
절감액0.0960.0000.0000.7911.0001.0001.0000.1690.3930.3971.0001.0000.950
투자비0.0960.0000.0000.7911.0001.0001.0000.1690.3930.3971.0001.0000.950
진단연도0.9800.0000.3140.3410.9560.1690.1691.0000.2370.8170.2030.0000.274
에너지 사용량 규모0.0000.2560.0000.5460.9960.3930.3930.2371.0000.2860.2280.3270.403
에너지 절감 종류0.6710.0000.7030.9540.9810.3970.3970.8170.2861.0000.5210.0000.331
에너지 절감량(연료)0.0410.0000.2170.1161.0001.0001.0000.2030.2280.5211.0001.0001.000
에너지 절감량(전력)0.0000.0000.0000.5231.0001.0001.0000.0000.3270.0001.0001.0000.979
온실가스 감축량0.1410.0000.0000.6831.0000.9500.9500.2740.4030.3311.0000.9791.000
2023-12-10T20:15:01.881644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
에너지 사용량 규모개선 구분감축 대상 설비에너지 절감 종류업종
에너지 사용량 규모1.0000.2140.0000.1380.112
개선 구분0.2141.0000.4430.5770.165
감축 대상 설비0.0000.4431.0000.3370.000
에너지 절감 종류0.1380.5770.3371.0000.000
업종0.1120.1650.0000.0001.000
2023-12-10T20:15:02.476227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번절감액투자비진단연도에너지 절감량(연료)에너지 절감량(전력)온실가스 감축량업종감축 대상 설비개선 구분에너지 사용량 규모에너지 절감 종류
연번1.000-0.168-0.167-0.995-0.037-0.075-0.1500.0800.0650.0370.0000.360
절감액-0.1681.0001.0000.174-0.0200.7360.8990.0000.0000.4510.2750.239
투자비-0.1671.0001.0000.173-0.0200.7360.9000.0000.0000.4510.2750.239
진단연도-0.9950.1740.1731.0000.0430.0810.1590.0000.1030.0580.1320.375
에너지 절감량(연료)-0.037-0.020-0.0200.0431.000-0.532-0.1420.0000.1750.0580.2370.477
에너지 절감량(전력)-0.0750.7360.7360.081-0.5321.0000.8490.0000.0000.1890.1790.000
온실가스 감축량-0.1500.8990.9000.159-0.1420.8491.0000.0000.0000.3350.2680.180
업종0.0800.0000.0000.0000.0000.0000.0001.0000.0000.1650.1120.000
감축 대상 설비0.0650.0000.0000.1030.1750.0000.0000.0001.0000.4430.0000.337
개선 구분0.0370.4510.4510.0580.0580.1890.3350.1650.4431.0000.2140.577
에너지 사용량 규모0.0000.2750.2750.1320.2370.1790.2680.1120.0000.2141.0000.138
에너지 절감 종류0.3600.2390.2390.3750.4770.0000.1800.0000.3370.5770.1381.000

Missing values

2023-12-10T20:14:51.190847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:14:52.011871image/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

연번업종감축 대상 설비개선 구분개선활동명투자비 회수기간투자비 회수기간 단위절감액절감액 단위투자비투자비 단위진단연도에너지 사용량 규모에너지 절감 종류에너지 절감량(연료)연료 단위에너지 절감량(전력)전력 단위온실가스 감축량감축량 단위
01폐기물공기 압축기 설비신설비도입VSD 공기압축기 도입5yr3.0백만원/yr15.0백만원20205천toe 이하전기(소비기준)0.0toe/yr6.6toe/yr3.6tCO₂/yr
12제조업 기타열사용설비신설비도입복지관 : 급탕열원 시스템 개선 : 스팀 → 전기(히트펌프), 축열식 적용5yr10.01백만원/yr50.0백만원20201만teo ~ 2만toe도시가스(LNG)43.44toe/yr-37.59toe/yr4.54tCO₂/yr
23식품냉동 및 열-펌프 설비운전방법개선냉장창고 출입문 제어5yr0.09백만원/yr0.45백만원20205천toe 이하전기(소비기준)0.0toe/yr0.19toe/yr0.1tCO₂/yr
34요업수.발.배전 설비신설비도입노후 된 변압기를 하이브리드변압기로 교체5yr141.23백만원/yr706.15백만원20205천teo ~ 1만toe전기(소비기준)0.0toe/yr312.79toe/yr170.74tCO₂/yr
45건축물냉동 및 열-펌프 설비노후설비대체골프장 흡수식 냉온수기 교체5yr10.0백만원/yr50.0백만원20205천teo ~ 1만toe전기기타37.3toe/yr-11.9toe/yr17.4tCO₂/yr
56화학 / 석유화학공기 압축기 설비기존설비통폐합기존설비를 터보컴프레샤로 통합운영5yr308.16백만원/yr1540.0백만원20195천teo ~ 1만toe전기(소비기준)0.0toe/yr605.75toe/yr330.65tCO₂/yr
67섬유/ 피혁열사용설비(염색기류)기타(분류불가)보온 단열5yr0.6백만원/yr3.0백만원20195천toe 이하증기0.7toe/yr0.0toe/yr0.7tCO₂/yr
78화학 / 석유화학조명 설비절전형조명설비개체LED 조명 교체5yr0.3백만원/yr1.5백만원20195천teo ~ 1만toe전기(소비기준)0.0toe/yr0.5toe/yr0.27tCO₂/yr
89철강조명 설비조명개선LED조명으로 교체5yr1.08백만원/yr5.4백만원20195천teo ~ 1만toe전기(소비기준)0.0toe/yr2.17toe/yr1.18tCO₂/yr
910폐기물수.발.배전 설비노후설비대체고효율 변압기로 교체5yr3.5백만원/yr17.5백만원20195천toe 이하전기(소비기준)0.0toe/yr7.5toe/yr4.09tCO₂/yr
연번업종감축 대상 설비개선 구분개선활동명투자비 회수기간투자비 회수기간 단위절감액절감액 단위투자비투자비 단위진단연도에너지 사용량 규모에너지 절감 종류에너지 절감량(연료)연료 단위에너지 절감량(전력)전력 단위온실가스 감축량감축량 단위
9091건축물펌프 설비노후설비대체난방온수펌프 효율개선5yr0.6백만원/yr3.0백만원20105천toe 이하전력0.0toe/yr1.4toe/yr0.75tCO₂/yr
9192제조업 기타펌프 설비노후설비대체노후펌프 고효율펌프로 교체5yr8.0백만원/yr40.0백만원20105천teo ~ 1만toe전력0.0toe/yr22.0toe/yr11.83tCO₂/yr
9293건축물열사용설비(기타)설비대체회전문 설치5yr3.2백만원/yr16.0백만원20101만teo ~ 2만toe도시가스(LNG)5.3toe/yr0.0toe/yr3.38tCO₂/yr
9394건축물보일러부속장치교체및보완절탄기 설치5yr1.0백만원/yr5.0백만원20105천toe 이하보일러등유1.2toe/yr0.0toe/yr0.97tCO₂/yr
9495건축물펌프 설비적정압력관리빙축열용 브라인 및 냉각수펌프 양정적정화5yr1.4백만원/yr7.0백만원20105천toe 이하전력0.0toe/yr4.9toe/yr2.63tCO₂/yr
9596전기전자 (반도체 디스플레이 포함)냉동 및 열-펌프 설비설비대체냉동기 스케일제거 시스템적용5yr8.6백만원/yr43.0백만원20105천toe 이하전력0.0toe/yr25.9toe/yr13.93tCO₂/yr
9697건축물송풍기 설비회전수제어설비도입Fan 인버터설치5yr0.2백만원/yr1.0백만원20095천toe 이하전력0.0toe/yr0.5toe/yr0.27tCO₂/yr
9798건축물열사용설비(기타)건물부문도서관 출입문 회전문 설치5yr0.4백만원/yr2.0백만원20095천teo ~ 1만toe기타0.5toe/yr0.0toe/yr0.3tCO₂/yr
9899제지목재수.발.배전 설비역률개선수변전설비 역률개선5yr2.8백만원/yr14.0백만원20095만teo ~ 10만toe전력0.0toe/yr9.9toe/yr5.32tCO₂/yr
99100제조업 기타기타전기설비운전방법개선냉각수 사용처와 온수 사용처를 구분하여 적정한 용량으로 용수탱크의 칸막이를 설치하고, 칸막이 설치에5yr1.2백만원/yr6.0백만원20095천toe 이하전력0.0toe/yr3.5toe/yr1.88tCO₂/yr