Overview

Dataset statistics

Number of variables21
Number of observations50
Missing cells4
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory190.6 B

Variable types

Text1
Numeric20

Dataset

Description스톡홀름협약에서 정하는 잔류성유기오염물질 중 다이옥신의 국가 배출량 산정을 위한 소각 및 비소각 등 배출원 분류별 배출시설에 대한 배출계수 및 배출량
URLhttps://www.data.go.kr/data/15071048/fileData.do

Alerts

2011 배출계수 has 2 (4.0%) missing valuesMissing
2011 배출량 has 2 (4.0%) missing valuesMissing
구분(배출계수(ug-TEQ_ton), 배출량(g-TEQ_yr)) has unique valuesUnique
2012 배출계수 has unique valuesUnique
2012 배출량 has 1 (2.0%) zerosZeros
2013 배출량 has 2 (4.0%) zerosZeros
2014 배출량 has 4 (8.0%) zerosZeros
2015 배출계수 has 3 (6.0%) zerosZeros
2015배출량 has 5 (10.0%) zerosZeros
2016 배출량 has 2 (4.0%) zerosZeros
2017 배출계수 has 2 (4.0%) zerosZeros
2017 배출량 has 2 (4.0%) zerosZeros
2018 배출계수 has 2 (4.0%) zerosZeros
2018 배출량 has 5 (10.0%) zerosZeros
2019 배출량 has 1 (2.0%) zerosZeros
2020 배출량 has 1 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-12 13:08:16.714940
Analysis finished2023-12-12 13:08:16.978918
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분(배출계수(ug-TEQ_ton), 배출량(g-TEQ_yr))
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T22:08:17.177504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length14.76
Min length9

Characters and Unicode

Total characters738
Distinct characters106
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st row철강-일관제철-소결로
2nd row철강-일관제철-코크스로
3rd row철강-일관제철-전기로제강
4th row철강-제철제강-전기로제강
5th row철강-합금철-전기로제강
ValueCountFrequency (%)
이상 4
 
7.1%
미만 2
 
3.6%
철강-일관제철-소결로 1
 
1.8%
에너지-기타발전-기타발전 1
 
1.8%
화학-무기화학-염산/가성소다 1
 
1.8%
화학-타이머-타이머 1
 
1.8%
화학-펄프제지-펄프 1
 
1.8%
에너지-공공발전-고체연료 1
 
1.8%
에너지-공공발전-액체연료 1
 
1.8%
에너지-공공발전-lng 1
 
1.8%
Other values (42) 42
75.0%
2023-12-12T22:08:17.659214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 100
 
13.6%
철 29
 
3.9%
기 29
 
3.9%
비 22
 
3.0%
물 19
 
2.6%
장 18
 
2.4%
폐 17
 
2.3%
업 17
 
2.3%
제 16
 
2.2%
금 15
 
2.0%
Other values (96) 456
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 505
68.4%
Dash Punctuation 100
 
13.6%
Lowercase Letter 58
 
7.9%
Decimal Number 27
 
3.7%
Other Punctuation 21
 
2.8%
Uppercase Letter 15
 
2.0%
Space Separator 6
 
0.8%
Math Symbol 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
철 29
 
5.7%
기 29
 
5.7%
비 22
 
4.4%
물 19
 
3.8%
장 18
 
3.6%
폐 17
 
3.4%
업 17
 
3.4%
제 16
 
3.2%
금 15
 
3.0%
련 14
 
2.8%
Other values (71) 309
61.2%
Uppercase Letter
ValueCountFrequency (%)
C 3
20.0%
L 2
13.3%
N 2
13.3%
V 2
13.3%
G 2
13.3%
D 1
 
6.7%
P 1
 
6.7%
M 1
 
6.7%
E 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
t 12
20.7%
n 12
20.7%
o 12
20.7%
h 12
20.7%
r 10
17.2%
Decimal Number
ValueCountFrequency (%)
2 12
44.4%
0 7
25.9%
4 4
 
14.8%
1 3
 
11.1%
5 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 13
61.9%
. 6
28.6%
, 2
 
9.5%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Math Symbol
ValueCountFrequency (%)
～ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 505
68.4%
Common 160
 
21.7%
Latin 73
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
철 29
 
5.7%
기 29
 
5.7%
비 22
 
4.4%
물 19
 
3.8%
장 18
 
3.6%
폐 17
 
3.4%
업 17
 
3.4%
제 16
 
3.2%
금 15
 
3.0%
련 14
 
2.8%
Other values (71) 309
61.2%
Latin
ValueCountFrequency (%)
t 12
16.4%
n 12
16.4%
o 12
16.4%
h 12
16.4%
r 10
13.7%
C 3
 
4.1%
L 2
 
2.7%
N 2
 
2.7%
V 2
 
2.7%
G 2
 
2.7%
Other values (4) 4
 
5.5%
Common
ValueCountFrequency (%)
- 100
62.5%
/ 13
 
8.1%
2 12
 
7.5%
0 7
 
4.4%
6
 
3.8%
～ 6
 
3.8%
. 6
 
3.8%
4 4
 
2.5%
1 3
 
1.9%
, 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 505
68.4%
ASCII 227
30.8%
None 6
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 100
44.1%
/ 13
 
5.7%
t 12
 
5.3%
2 12
 
5.3%
n 12
 
5.3%
o 12
 
5.3%
h 12
 
5.3%
r 10
 
4.4%
0 7
 
3.1%
6
 
2.6%
Other values (14) 31
 
13.7%
Hangul
ValueCountFrequency (%)
철 29
 
5.7%
기 29
 
5.7%
비 22
 
4.4%
물 19
 
3.8%
장 18
 
3.6%
폐 17
 
3.4%
업 17
 
3.4%
제 16
 
3.2%
금 15
 
3.0%
련 14
 
2.8%
Other values (71) 309
61.2%
None
ValueCountFrequency (%)
～ 6
100.0%

2011 배출계수
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)95.8%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean8.4527917
Minimum0.005
Maximum137.238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:17.828633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.005
5-th percentile0.01755
Q10.1095
median0.55
Q32.9295
95-th percentile42.2608
Maximum137.238
Range137.233
Interquartile range (IQR)2.82

Descriptive statistics

Standard deviation25.778379
Coefficient of variation (CV)3.0496882
Kurtosis17.642538
Mean8.4527917
Median Absolute Deviation (MAD)0.5305
Skewness4.1840325
Sum405.734
Variance664.52482
MonotonicityNot monotonic
2023-12-12T22:08:17.964751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.031 2
 
4.0%
0.06 2
 
4.0%
6.275 1
 
2.0%
2.428 1
 
2.0%
0.099 1
 
2.0%
0.013 1
 
2.0%
0.075 1
 
2.0%
0.061 1
 
2.0%
0.12 1
 
2.0%
9.882 1
 
2.0%
Other values (36) 36
72.0%
(Missing) 2
 
4.0%
ValueCountFrequency (%)
0.005 1
2.0%
0.007 1
2.0%
0.013 1
2.0%
0.026 1
2.0%
0.031 2
4.0%
0.044 1
2.0%
0.06 2
4.0%
0.061 1
2.0%
0.075 1
2.0%
0.099 1
2.0%
ValueCountFrequency (%)
137.238 1
2.0%
108.584 1
2.0%
55.705 1
2.0%
17.293 1
2.0%
13.723 1
2.0%
10.796 1
2.0%
9.882 1
2.0%
8.919 1
2.0%
6.461 1
2.0%
6.275 1
2.0%

2011 배출량
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)83.3%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean2.5195833
Minimum0.01
Maximum28.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:18.145605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.0135
Q10.1275
median0.355
Q31.9975
95-th percentile14.2815
Maximum28.24
Range28.23
Interquartile range (IQR)1.87

Descriptive statistics

Standard deviation5.3408175
Coefficient of variation (CV)2.1197225
Kurtosis12.362637
Mean2.5195833
Median Absolute Deviation (MAD)0.315
Skewness3.3618836
Sum120.94
Variance28.524332
MonotonicityNot monotonic
2023-12-12T22:08:18.300652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.01 3
 
6.0%
0.04 2
 
4.0%
0.22 2
 
4.0%
0.08 2
 
4.0%
0.14 2
 
4.0%
0.06 2
 
4.0%
0.28 2
 
4.0%
1.86 1
 
2.0%
0.34 1
 
2.0%
0.75 1
 
2.0%
Other values (30) 30
60.0%
(Missing) 2
 
4.0%
ValueCountFrequency (%)
0.01 3
6.0%
0.02 1
 
2.0%
0.04 2
4.0%
0.06 2
4.0%
0.07 1
 
2.0%
0.08 2
4.0%
0.09 1
 
2.0%
0.14 2
4.0%
0.2 1
 
2.0%
0.21 1
 
2.0%
ValueCountFrequency (%)
28.24 1
2.0%
17.27 1
2.0%
15.72 1
2.0%
11.61 1
2.0%
7.64 1
2.0%
5.58 1
2.0%
4.06 1
2.0%
3.68 1
2.0%
3.47 1
2.0%
2.53 1
2.0%

2012 배출계수
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.589
Minimum0.001
Maximum98.358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:18.476741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.00545
Q10.09775
median0.287
Q33.579
95-th percentile32.04175
Maximum98.358
Range98.357
Interquartile range (IQR)3.48125

Descriptive statistics

Standard deviation19.362654
Coefficient of variation (CV)2.9386331
Kurtosis16.673912
Mean6.589
Median Absolute Deviation (MAD)0.2815
Skewness4.0935497
Sum329.45
Variance374.91236
MonotonicityNot monotonic
2023-12-12T22:08:18.650177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.221 1
 
2.0%
0.174 1
 
2.0%
0.013 1
 
2.0%
0.112 1
 
2.0%
0.01 1
 
2.0%
0.004 1
 
2.0%
0.123 1
 
2.0%
0.127 1
 
2.0%
0.04 1
 
2.0%
0.007 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
0.001 1
2.0%
0.004 1
2.0%
0.005 1
2.0%
0.006 1
2.0%
0.007 1
2.0%
0.01 1
2.0%
0.013 1
2.0%
0.016 1
2.0%
0.023 1
2.0%
0.04 1
2.0%
ValueCountFrequency (%)
98.358 1
2.0%
89.77 1
2.0%
45.076 1
2.0%
16.111 1
2.0%
12.52 1
2.0%
10.857 1
2.0%
7.201 1
2.0%
7.024 1
2.0%
5.987 1
2.0%
4.694 1
2.0%

2012 배출량
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.23
Minimum0
Maximum25.2
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:18.805313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.09
median0.535
Q31.5825
95-th percentile12.5845
Maximum25.2
Range25.2
Interquartile range (IQR)1.4925

Descriptive statistics

Standard deviation4.8551429
Coefficient of variation (CV)2.1771941
Kurtosis11.803419
Mean2.23
Median Absolute Deviation (MAD)0.48
Skewness3.3522766
Sum111.5
Variance23.572412
MonotonicityNot monotonic
2023-12-12T22:08:18.955964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.09 3
 
6.0%
0.11 2
 
4.0%
0.05 2
 
4.0%
0.84 2
 
4.0%
0.03 2
 
4.0%
0.02 2
 
4.0%
1.47 1
 
2.0%
1.99 1
 
2.0%
8.6 1
 
2.0%
0.44 1
 
2.0%
Other values (33) 33
66.0%
ValueCountFrequency (%)
0.0 1
 
2.0%
0.01 1
 
2.0%
0.02 2
4.0%
0.03 2
4.0%
0.05 2
4.0%
0.06 1
 
2.0%
0.07 1
 
2.0%
0.08 1
 
2.0%
0.09 3
6.0%
0.11 2
4.0%
ValueCountFrequency (%)
25.2 1
2.0%
17.72 1
2.0%
13.3 1
2.0%
11.71 1
2.0%
8.6 1
2.0%
3.6 1
2.0%
3.17 1
2.0%
2.95 1
2.0%
2.94 1
2.0%
1.99 1
2.0%

2013 배출계수
Real number (ℝ)

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.80044
Minimum0.001
Maximum120.606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:19.100837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.00235
Q10.09675
median0.3535
Q32.13875
95-th percentile39.2113
Maximum120.606
Range120.605
Interquartile range (IQR)2.042

Descriptive statistics

Standard deviation23.764517
Coefficient of variation (CV)3.0465611
Kurtosis17.089752
Mean7.80044
Median Absolute Deviation (MAD)0.3525
Skewness4.1234531
Sum390.022
Variance564.75226
MonotonicityNot monotonic
2023-12-12T22:08:19.233139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.001 3
 
6.0%
0.221 1
 
2.0%
0.105 1
 
2.0%
0.112 1
 
2.0%
0.009 1
 
2.0%
0.004 1
 
2.0%
0.082 1
 
2.0%
0.117 1
 
2.0%
0.029 1
 
2.0%
0.018 1
 
2.0%
Other values (38) 38
76.0%
ValueCountFrequency (%)
0.001 3
6.0%
0.004 1
 
2.0%
0.005 1
 
2.0%
0.007 1
 
2.0%
0.009 1
 
2.0%
0.016 1
 
2.0%
0.018 1
 
2.0%
0.029 1
 
2.0%
0.073 1
 
2.0%
0.082 1
 
2.0%
ValueCountFrequency (%)
120.606 1
2.0%
111.682 1
2.0%
39.745 1
2.0%
38.559 1
2.0%
15.395 1
2.0%
11.657 1
2.0%
10.278 1
2.0%
7.757 1
2.0%
5.923 1
2.0%
3.606 1
2.0%

2013 배출량
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2306
Minimum0
Maximum22.27
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:19.364065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.1025
median0.525
Q31.78
95-th percentile13.0225
Maximum22.27
Range22.27
Interquartile range (IQR)1.6775

Descriptive statistics

Standard deviation4.6090773
Coefficient of variation (CV)2.0662949
Kurtosis9.6469507
Mean2.2306
Median Absolute Deviation (MAD)0.515
Skewness3.1241284
Sum111.53
Variance21.243594
MonotonicityNot monotonic
2023-12-12T22:08:19.469645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.01 3
 
6.0%
0.07 2
 
4.0%
0.1 2
 
4.0%
1.22 2
 
4.0%
0.11 2
 
4.0%
0.03 2
 
4.0%
0.0 2
 
4.0%
1.14 1
 
2.0%
0.88 1
 
2.0%
0.2 1
 
2.0%
Other values (32) 32
64.0%
ValueCountFrequency (%)
0.0 2
4.0%
0.01 3
6.0%
0.03 2
4.0%
0.06 1
 
2.0%
0.07 2
4.0%
0.09 1
 
2.0%
0.1 2
4.0%
0.11 2
4.0%
0.15 1
 
2.0%
0.19 1
 
2.0%
ValueCountFrequency (%)
22.27 1
2.0%
17.74 1
2.0%
14.71 1
2.0%
10.96 1
2.0%
8.44 1
2.0%
4.32 1
2.0%
2.58 1
2.0%
2.49 1
2.0%
2.42 1
2.0%
2.11 1
2.0%

2014 배출계수
Real number (ℝ)

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7793
Minimum0.001
Maximum81.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:19.582242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.001
Q10.08275
median0.2845
Q31.79325
95-th percentile36.8403
Maximum81.6
Range81.599
Interquartile range (IQR)1.7105

Descriptive statistics

Standard deviation16.434424
Coefficient of variation (CV)2.8436704
Kurtosis13.862255
Mean5.7793
Median Absolute Deviation (MAD)0.2835
Skewness3.7218419
Sum288.965
Variance270.09031
MonotonicityNot monotonic
2023-12-12T22:08:19.720301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.001 4
 
8.0%
0.004 2
 
4.0%
6.487 1
 
2.0%
10.456 1
 
2.0%
0.094 1
 
2.0%
0.009 1
 
2.0%
0.079 1
 
2.0%
0.104 1
 
2.0%
0.029 1
 
2.0%
0.021 1
 
2.0%
Other values (36) 36
72.0%
ValueCountFrequency (%)
0.001 4
8.0%
0.003 1
 
2.0%
0.004 2
4.0%
0.006 1
 
2.0%
0.009 1
 
2.0%
0.021 1
 
2.0%
0.029 1
 
2.0%
0.049 1
 
2.0%
0.079 1
 
2.0%
0.094 1
 
2.0%
ValueCountFrequency (%)
81.6 1
2.0%
71.798 1
2.0%
38.346 1
2.0%
35.0 1
2.0%
11.441 1
2.0%
10.456 1
2.0%
7.206 1
2.0%
6.487 1
2.0%
5.58 1
2.0%
2.551 1
2.0%

2014 배출량
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0056
Minimum0
Maximum21.54
Zeros4
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:20.081004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0925
median0.465
Q31.43
95-th percentile11.856
Maximum21.54
Range21.54
Interquartile range (IQR)1.3375

Descriptive statistics

Standard deviation4.2893057
Coefficient of variation (CV)2.1386646
Kurtosis10.893883
Mean2.0056
Median Absolute Deviation (MAD)0.445
Skewness3.2744926
Sum100.28
Variance18.398144
MonotonicityNot monotonic
2023-12-12T22:08:20.187682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 4
 
8.0%
0.06 2
 
4.0%
1.43 2
 
4.0%
0.1 2
 
4.0%
0.22 2
 
4.0%
0.02 2
 
4.0%
0.32 1
 
2.0%
0.15 1
 
2.0%
2.19 1
 
2.0%
1.23 1
 
2.0%
Other values (32) 32
64.0%
ValueCountFrequency (%)
0.0 4
8.0%
0.01 1
 
2.0%
0.02 2
4.0%
0.04 1
 
2.0%
0.05 1
 
2.0%
0.06 2
4.0%
0.07 1
 
2.0%
0.09 1
 
2.0%
0.1 2
4.0%
0.14 1
 
2.0%
ValueCountFrequency (%)
21.54 1
2.0%
15.65 1
2.0%
14.34 1
2.0%
8.82 1
2.0%
7.3 1
2.0%
3.58 1
2.0%
2.79 1
2.0%
2.6 1
2.0%
2.24 1
2.0%
2.19 1
2.0%

2015 배출계수
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.55834
Minimum0
Maximum89.795
Zeros3
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:20.287876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0009
Q10.0395
median0.292
Q31.847
95-th percentile25.22465
Maximum89.795
Range89.795
Interquartile range (IQR)1.8075

Descriptive statistics

Standard deviation16.984433
Coefficient of variation (CV)3.0556664
Kurtosis18.159034
Mean5.55834
Median Absolute Deviation (MAD)0.288
Skewness4.2428723
Sum277.917
Variance288.47095
MonotonicityNot monotonic
2023-12-12T22:08:20.388555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 3
 
6.0%
0.004 2
 
4.0%
0.006 2
 
4.0%
9.969 1
 
2.0%
0.121 1
 
2.0%
0.022 1
 
2.0%
0.008 1
 
2.0%
0.083 1
 
2.0%
0.1 1
 
2.0%
0.025 1
 
2.0%
Other values (36) 36
72.0%
ValueCountFrequency (%)
0.0 3
6.0%
0.002 1
 
2.0%
0.004 2
4.0%
0.006 2
4.0%
0.008 1
 
2.0%
0.011 1
 
2.0%
0.022 1
 
2.0%
0.025 1
 
2.0%
0.038 1
 
2.0%
0.044 1
 
2.0%
ValueCountFrequency (%)
89.795 1
2.0%
77.062 1
2.0%
31.985 1
2.0%
16.962 1
2.0%
9.969 1
2.0%
9.349 1
2.0%
7.484 1
2.0%
7.404 1
2.0%
4.851 1
2.0%
4.648 1
2.0%

2015배출량
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8638
Minimum0
Maximum22.59
Zeros5
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:20.497985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.07
median0.525
Q31.5775
95-th percentile9.082
Maximum22.59
Range22.59
Interquartile range (IQR)1.5075

Descriptive statistics

Standard deviation4.1169787
Coefficient of variation (CV)2.2089166
Kurtosis15.3141
Mean1.8638
Median Absolute Deviation (MAD)0.505
Skewness3.7809149
Sum93.19
Variance16.949514
MonotonicityNot monotonic
2023-12-12T22:08:20.597064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 5
 
10.0%
0.01 3
 
6.0%
0.02 2
 
4.0%
0.8 2
 
4.0%
0.28 2
 
4.0%
0.06 2
 
4.0%
0.82 1
 
2.0%
0.25 1
 
2.0%
2.07 1
 
2.0%
1.8 1
 
2.0%
Other values (30) 30
60.0%
ValueCountFrequency (%)
0.0 5
10.0%
0.01 3
6.0%
0.02 2
 
4.0%
0.04 1
 
2.0%
0.06 2
 
4.0%
0.1 1
 
2.0%
0.13 1
 
2.0%
0.14 1
 
2.0%
0.25 1
 
2.0%
0.28 2
 
4.0%
ValueCountFrequency (%)
22.59 1
2.0%
15.72 1
2.0%
11.44 1
2.0%
6.2 1
2.0%
4.86 1
2.0%
3.08 1
2.0%
2.86 1
2.0%
2.41 1
2.0%
2.31 1
2.0%
2.07 1
2.0%

2016 배출계수
Real number (ℝ)

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.85606
Minimum0.001
Maximum77.693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:20.699951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.0039
Q10.04375
median0.305
Q32.07
95-th percentile21.99635
Maximum77.693
Range77.692
Interquartile range (IQR)2.02625

Descriptive statistics

Standard deviation14.450242
Coefficient of variation (CV)2.9757132
Kurtosis18.195429
Mean4.85606
Median Absolute Deviation (MAD)0.298
Skewness4.2274795
Sum242.803
Variance208.80949
MonotonicityNot monotonic
2023-12-12T22:08:20.823292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.007 3
 
6.0%
0.008 2
 
4.0%
0.287 1
 
2.0%
0.704 1
 
2.0%
0.003 1
 
2.0%
0.085 1
 
2.0%
0.103 1
 
2.0%
0.024 1
 
2.0%
0.022 1
 
2.0%
0.077 1
 
2.0%
Other values (37) 37
74.0%
ValueCountFrequency (%)
0.001 1
 
2.0%
0.002 1
 
2.0%
0.003 1
 
2.0%
0.005 1
 
2.0%
0.007 3
6.0%
0.008 2
4.0%
0.022 1
 
2.0%
0.024 1
 
2.0%
0.026 1
 
2.0%
0.041 1
 
2.0%
ValueCountFrequency (%)
77.693 1
2.0%
63.656 1
2.0%
28.313 1
2.0%
14.276 1
2.0%
9.034 1
2.0%
8.362 1
2.0%
8.351 1
2.0%
5.711 1
2.0%
4.322 1
2.0%
4.295 1
2.0%

2016 배출량
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7154
Minimum0
Maximum22.25
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:20.946745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.075
median0.5
Q31.55
95-th percentile5.6695
Maximum22.25
Range22.25
Interquartile range (IQR)1.475

Descriptive statistics

Standard deviation3.9013871
Coefficient of variation (CV)2.2743308
Kurtosis19.0804
Mean1.7154
Median Absolute Deviation (MAD)0.485
Skewness4.2309395
Sum85.77
Variance15.220821
MonotonicityNot monotonic
2023-12-12T22:08:21.049789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.01 4
 
8.0%
1.55 2
 
4.0%
0.5 2
 
4.0%
0.0 2
 
4.0%
0.07 2
 
4.0%
0.06 2
 
4.0%
16.26 1
 
2.0%
0.15 1
 
2.0%
0.2 1
 
2.0%
0.54 1
 
2.0%
Other values (32) 32
64.0%
ValueCountFrequency (%)
0.0 2
4.0%
0.01 4
8.0%
0.02 1
 
2.0%
0.04 1
 
2.0%
0.05 1
 
2.0%
0.06 2
4.0%
0.07 2
4.0%
0.09 1
 
2.0%
0.14 1
 
2.0%
0.15 1
 
2.0%
ValueCountFrequency (%)
22.25 1
2.0%
16.26 1
2.0%
7.24 1
2.0%
3.75 1
2.0%
3.54 1
2.0%
3.45 1
2.0%
2.64 1
2.0%
2.45 1
2.0%
2.1 1
2.0%
1.9 1
2.0%

2017 배출계수
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.72798
Minimum0
Maximum74.718
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:21.152359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001
Q10.0245
median0.3385
Q32.03675
95-th percentile19.77575
Maximum74.718
Range74.718
Interquartile range (IQR)2.01225

Descriptive statistics

Standard deviation14.072306
Coefficient of variation (CV)2.9763887
Kurtosis18.316604
Mean4.72798
Median Absolute Deviation (MAD)0.3335
Skewness4.252355
Sum236.399
Variance198.02981
MonotonicityNot monotonic
2023-12-12T22:08:21.278587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.005 2
 
4.0%
0.0 2
 
4.0%
0.007 2
 
4.0%
0.001 2
 
4.0%
0.889 1
 
2.0%
1.082 1
 
2.0%
0.01 1
 
2.0%
0.095 1
 
2.0%
0.026 1
 
2.0%
0.021 1
 
2.0%
Other values (36) 36
72.0%
ValueCountFrequency (%)
0.0 2
4.0%
0.001 2
4.0%
0.002 1
2.0%
0.005 2
4.0%
0.006 1
2.0%
0.007 2
4.0%
0.01 1
2.0%
0.021 1
2.0%
0.024 1
2.0%
0.026 1
2.0%
ValueCountFrequency (%)
74.718 1
2.0%
64.052 1
2.0%
24.782 1
2.0%
13.657 1
2.0%
10.818 1
2.0%
8.854 1
2.0%
7.299 1
2.0%
5.099 1
2.0%
4.019 1
2.0%
3.93 1
2.0%

2017 배출량
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7272
Minimum0
Maximum24.14
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:21.396683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.0425
median0.335
Q31.6325
95-th percentile6.977
Maximum24.14
Range24.14
Interquartile range (IQR)1.59

Descriptive statistics

Standard deviation4.0606338
Coefficient of variation (CV)2.3509923
Kurtosis20.609447
Mean1.7272
Median Absolute Deviation (MAD)0.32
Skewness4.2988482
Sum86.36
Variance16.488747
MonotonicityNot monotonic
2023-12-12T22:08:21.510022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.01 5
 
10.0%
0.02 3
 
6.0%
1.75 2
 
4.0%
0.0 2
 
4.0%
0.35 2
 
4.0%
0.04 2
 
4.0%
0.61 2
 
4.0%
0.15 1
 
2.0%
0.18 1
 
2.0%
2.31 1
 
2.0%
Other values (29) 29
58.0%
ValueCountFrequency (%)
0.0 2
 
4.0%
0.01 5
10.0%
0.02 3
6.0%
0.03 1
 
2.0%
0.04 2
 
4.0%
0.05 1
 
2.0%
0.09 1
 
2.0%
0.12 1
 
2.0%
0.14 1
 
2.0%
0.15 1
 
2.0%
ValueCountFrequency (%)
24.14 1
2.0%
14.37 1
2.0%
8.66 1
2.0%
4.92 1
2.0%
4.1 1
2.0%
3.05 1
2.0%
2.86 1
2.0%
2.31 1
2.0%
2.2 1
2.0%
1.93 1
2.0%

2018 배출계수
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.64662
Minimum0
Maximum89.784
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:21.652606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0019
Q10.029
median0.3455
Q32.17575
95-th percentile9.92265
Maximum89.784
Range89.784
Interquartile range (IQR)2.14675

Descriptive statistics

Standard deviation16.547052
Coefficient of variation (CV)3.5610943
Kurtosis21.874972
Mean4.64662
Median Absolute Deviation (MAD)0.3395
Skewness4.7322684
Sum232.331
Variance273.80493
MonotonicityNot monotonic
2023-12-12T22:08:21.805648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.005 3
 
6.0%
0.0 2
 
4.0%
0.006 2
 
4.0%
0.459 2
 
4.0%
0.309 1
 
2.0%
1.086 1
 
2.0%
0.013 1
 
2.0%
0.107 1
 
2.0%
0.084 1
 
2.0%
0.001 1
 
2.0%
Other values (35) 35
70.0%
ValueCountFrequency (%)
0.0 2
4.0%
0.001 1
 
2.0%
0.003 1
 
2.0%
0.004 1
 
2.0%
0.005 3
6.0%
0.006 2
4.0%
0.013 1
 
2.0%
0.022 1
 
2.0%
0.028 1
 
2.0%
0.032 1
 
2.0%
ValueCountFrequency (%)
89.784 1
2.0%
77.976 1
2.0%
11.031 1
2.0%
8.568 1
2.0%
6.768 1
2.0%
5.41 1
2.0%
4.008 1
2.0%
3.894 1
2.0%
3.534 1
2.0%
3.407 1
2.0%

2018 배출량
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6862
Minimum0
Maximum23.5
Zeros5
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:21.942374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0375
median0.47
Q31.1275
95-th percentile6.397
Maximum23.5
Range23.5
Interquartile range (IQR)1.09

Descriptive statistics

Standard deviation4.1659347
Coefficient of variation (CV)2.4706053
Kurtosis18.807019
Mean1.6862
Median Absolute Deviation (MAD)0.45
Skewness4.2167961
Sum84.31
Variance17.355012
MonotonicityNot monotonic
2023-12-12T22:08:22.055857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 5
 
10.0%
0.01 4
 
8.0%
0.02 3
 
6.0%
0.74 2
 
4.0%
0.17 2
 
4.0%
0.44 1
 
2.0%
3.35 1
 
2.0%
1.31 1
 
2.0%
0.57 1
 
2.0%
1.56 1
 
2.0%
Other values (29) 29
58.0%
ValueCountFrequency (%)
0.0 5
10.0%
0.01 4
8.0%
0.02 3
6.0%
0.03 1
 
2.0%
0.06 1
 
2.0%
0.09 1
 
2.0%
0.11 1
 
2.0%
0.12 1
 
2.0%
0.15 1
 
2.0%
0.17 2
 
4.0%
ValueCountFrequency (%)
23.5 1
2.0%
17.27 1
2.0%
7.99 1
2.0%
4.45 1
2.0%
3.97 1
2.0%
3.35 1
2.0%
2.74 1
2.0%
2.34 1
2.0%
1.65 1
2.0%
1.64 1
2.0%

2019 배출계수
Real number (ℝ)

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.00262
Minimum0.002
Maximum104.248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:22.191071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.002
5-th percentile0.00445
Q10.03775
median0.284
Q31.9355
95-th percentile9.44345
Maximum104.248
Range104.246
Interquartile range (IQR)1.89775

Descriptive statistics

Standard deviation18.745456
Coefficient of variation (CV)3.7471276
Kurtosis22.744074
Mean5.00262
Median Absolute Deviation (MAD)0.2765
Skewness4.8202239
Sum250.131
Variance351.39211
MonotonicityNot monotonic
2023-12-12T22:08:22.331926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.008 2
 
4.0%
0.214 2
 
4.0%
0.002 2
 
4.0%
0.29 1
 
2.0%
3.33 1
 
2.0%
0.027 1
 
2.0%
0.004 1
 
2.0%
0.11 1
 
2.0%
0.029 1
 
2.0%
0.018 1
 
2.0%
Other values (37) 37
74.0%
ValueCountFrequency (%)
0.002 2
4.0%
0.004 1
2.0%
0.005 1
2.0%
0.006 1
2.0%
0.007 1
2.0%
0.008 2
4.0%
0.014 1
2.0%
0.018 1
2.0%
0.027 1
2.0%
0.029 1
2.0%
ValueCountFrequency (%)
104.248 1
2.0%
85.409 1
2.0%
10.676 1
2.0%
7.937 1
2.0%
6.235 1
2.0%
5.016 1
2.0%
3.407 1
2.0%
3.33 1
2.0%
3.211 1
2.0%
2.663 1
2.0%

2019 배출량
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5644
Minimum0
Maximum23.06
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:22.467821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.085
median0.425
Q31.25
95-th percentile3.703
Maximum23.06
Range23.06
Interquartile range (IQR)1.165

Descriptive statistics

Standard deviation3.9822997
Coefficient of variation (CV)2.5455764
Kurtosis21.775449
Mean1.5644
Median Absolute Deviation (MAD)0.385
Skewness4.5910529
Sum78.22
Variance15.858711
MonotonicityNot monotonic
2023-12-12T22:08:22.614268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.01 3
 
6.0%
0.08 2
 
4.0%
0.21 2
 
4.0%
0.07 2
 
4.0%
0.37 2
 
4.0%
0.04 2
 
4.0%
0.02 2
 
4.0%
17.12 1
 
2.0%
1.3 1
 
2.0%
0.47 1
 
2.0%
Other values (32) 32
64.0%
ValueCountFrequency (%)
0.0 1
 
2.0%
0.01 3
6.0%
0.02 2
4.0%
0.04 2
4.0%
0.05 1
 
2.0%
0.07 2
4.0%
0.08 2
4.0%
0.1 1
 
2.0%
0.12 1
 
2.0%
0.15 1
 
2.0%
ValueCountFrequency (%)
23.06 1
2.0%
17.12 1
2.0%
4.0 1
2.0%
3.34 1
2.0%
3.04 1
2.0%
2.3 1
2.0%
2.29 1
2.0%
2.27 1
2.0%
2.17 1
2.0%
1.85 1
2.0%

2020 배출계수
Real number (ℝ)

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.90342
Minimum0.002
Maximum69.044
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:22.744538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.002
5-th percentile0.0029
Q10.0375
median0.2555
Q31.754
95-th percentile8.20575
Maximum69.044
Range69.042
Interquartile range (IQR)1.7165

Descriptive statistics

Standard deviation10.256539
Coefficient of variation (CV)3.5325715
Kurtosis37.111824
Mean2.90342
Median Absolute Deviation (MAD)0.249
Skewness5.8756788
Sum145.171
Variance105.19659
MonotonicityNot monotonic
2023-12-12T22:08:22.895591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.002 3
 
6.0%
0.007 2
 
4.0%
0.505 1
 
2.0%
0.058 1
 
2.0%
0.07 1
 
2.0%
0.018 1
 
2.0%
0.004 1
 
2.0%
0.11 1
 
2.0%
0.029 1
 
2.0%
0.02 1
 
2.0%
Other values (37) 37
74.0%
ValueCountFrequency (%)
0.002 3
6.0%
0.004 1
 
2.0%
0.005 1
 
2.0%
0.007 2
4.0%
0.008 1
 
2.0%
0.017 1
 
2.0%
0.018 1
 
2.0%
0.02 1
 
2.0%
0.029 1
 
2.0%
0.036 1
 
2.0%
ValueCountFrequency (%)
69.044 1
2.0%
23.912 1
2.0%
8.631 1
2.0%
7.686 1
2.0%
5.662 1
2.0%
5.36 1
2.0%
2.798 1
2.0%
2.499 1
2.0%
2.454 1
2.0%
2.424 1
2.0%

2020 배출량
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4716
Minimum0
Maximum24.99
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T22:08:23.043139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.07
median0.23
Q31.0375
95-th percentile4.416
Maximum24.99
Range24.99
Interquartile range (IQR)0.9675

Descriptive statistics

Standard deviation4.139418
Coefficient of variation (CV)2.812869
Kurtosis24.153073
Mean1.4716
Median Absolute Deviation (MAD)0.215
Skewness4.7715165
Sum73.58
Variance17.134781
MonotonicityNot monotonic
2023-12-12T22:08:23.201264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.01 4
 
8.0%
0.13 3
 
6.0%
0.06 2
 
4.0%
0.02 2
 
4.0%
0.03 2
 
4.0%
0.14 2
 
4.0%
24.99 1
 
2.0%
0.26 1
 
2.0%
3.56 1
 
2.0%
0.47 1
 
2.0%
Other values (31) 31
62.0%
ValueCountFrequency (%)
0.0 1
 
2.0%
0.01 4
8.0%
0.02 2
4.0%
0.03 2
4.0%
0.04 1
 
2.0%
0.05 1
 
2.0%
0.06 2
4.0%
0.1 1
 
2.0%
0.11 1
 
2.0%
0.12 1
 
2.0%
ValueCountFrequency (%)
24.99 1
2.0%
15.77 1
2.0%
5.1 1
2.0%
3.58 1
2.0%
3.56 1
2.0%
2.18 1
2.0%
1.98 1
2.0%
1.52 1
2.0%
1.34 1
2.0%
1.28 1
2.0%

Sample

구분(배출계수(ug-TEQ_ton), 배출량(g-TEQ_yr))2011 배출계수2011 배출량2012 배출계수2012 배출량2013 배출계수2013 배출량2014 배출계수2014 배출량2015 배출계수2015배출량2016 배출계수2016 배출량2017 배출계수2017 배출량2018 배출계수2018 배출량2019 배출계수2019 배출량2020 배출계수2020 배출량
0철강-일관제철-소결로0.22111.610.22113.30.22114.710.22515.650.2715.720.28716.260.28714.370.317.270.2917.120.50524.99
1철강-일관제철-코크스로0.0050.080.0050.080.0050.10.0060.10.0060.10.0050.090.0050.090.0050.090.0050.080.0050.06
2철강-일관제철-전기로제강0.582.530.3260.970.3211.80.4052.240.3712.310.3531.550.3281.010.331.00.3430.910.461.04
3철강-제철제강-전기로제강1.85428.241.87625.21.94322.271.89121.541.92422.591.74622.251.68224.141.61123.51.61323.060.77315.77
4철강-합금철-전기로제강1.3271.681.21.670.9611.221.1911.460.6741.450.681.010.6171.750.5410.630.4230.530.2380.15
5철강-철강주조-선철주물주조0.2750.280.2090.260.220.360.2820.650.260.770.240.750.1860.320.1690.280.2420.480.2420.06
6철강-철강주조-강주물주조0.1410.040.1450.030.1260.150.2040.230.2640.130.280.140.230.120.1980.110.1710.070.0890.01
7비철-제련정련합금-전기동0.0260.010.0160.010.0160.010.0030.00.0020.00.0020.00.0020.00.0030.00.0080.010.0080.01
8비철-제련정련합금-동3.9511.773.7881.20.8960.420.6810.220.5420.320.490.320.7270.350.5840.340.5970.370.5570.33
9비철-제련정련합금-알루미늄6.4615.584.0883.61.6572.581.7342.791.8053.082.2763.752.9194.922.9243.972.6633.342.7985.1
구분(배출계수(ug-TEQ_ton), 배출량(g-TEQ_yr))2011 배출계수2011 배출량2012 배출계수2012 배출량2013 배출계수2013 배출량2014 배출계수2014 배출량2015 배출계수2015배출량2016 배출계수2016 배출량2017 배출계수2017 배출량2018 배출계수2018 배출량2019 배출계수2019 배출량2020 배출계수2020 배출량
40생활폐기물-생활폐기물-0.2ton/hr 미만137.2380.4189.770.41111.6820.3771.7980.2489.7950.8263.6560.1574.7180.1877.9760.4485.4090.1523.9120.04
41사업장폐기물-사업장일반-4ton/hr 이상2.5043.681.6442.941.1054.320.6341.90.410.80.3220.780.3110.640.4590.740.4590.980.3360.67
42사업장폐기물-사업장일반-2～4ton/hr17.29315.7216.11117.7215.39517.7411.44114.347.40411.445.7117.245.0998.663.8947.993.2114.01.7982.18
43사업장폐기물-사업장일반-0.2～2ton/hr55.70517.2745.07611.7138.55910.9635.08.8216.9626.214.2763.5413.6574.111.0314.4510.6762.178.6311.07
44사업장폐기물-사업장일반-0.025～0.2ton/h108.5841.1998.3580.84120.6062.1181.60.977.0620.5477.6930.3364.0520.2889.7840.95104.2482.369.0440.37
45사업장폐기물-사업장지정-4ton/hr 이상2.5890.623.5760.83.6060.592.5510.432.1070.352.1490.392.1550.390.930.150.8860.210.8470.13
46사업장폐기물-사업장지정-2～4ton/hr10.7960.657.0240.997.7571.075.580.764.6480.614.3221.33.931.22.8070.912.6380.832.4240.85
47사업장폐기물-사업장지정-2ton/hr 미만13.7230.2612.520.4639.7450.2438.3460.2231.9850.6428.3132.124.7821.668.5680.57.9370.797.6861.27
48의료폐기물-의료폐기물-1ton/hr 이상8.9190.757.2010.8411.6571.2210.4561.249.9691.28.3620.857.2991.423.5340.762.0430.461.6220.3
49의료폐기물-의료폐기물-0.2～1ton/h4.3240.065.9870.115.9230.116.4870.267.4840.439.0341.138.8540.156.7680.126.2350.075.6620.03