Overview

Dataset statistics

Number of variables8
Number of observations679
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.9 KiB
Average record size in memory72.2 B

Variable types

Categorical1
Numeric7

Dataset

Description공공부문 온실가스 현황입니다. 행정동, 기준배출량, 온실가스배출량, 외부감축사업감축량, 탄소포인트감축량, 온실가스감축량, 온실가스감축률 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=116

Alerts

기준배출량 is highly overall correlated with 온실가스배출량 and 2 other fieldsHigh correlation
온실가스배출량 is highly overall correlated with 기준배출량 and 2 other fieldsHigh correlation
탄소포인트감축량 is highly overall correlated with 기준배출량 and 2 other fieldsHigh correlation
온실가스감축량 is highly overall correlated with 기준배출량 and 3 other fieldsHigh correlation
온실가스감축률 is highly overall correlated with 온실가스감축량High correlation
외부감축사업감축량 has 333 (49.0%) zerosZeros
탄소포인트감축량 has 68 (10.0%) zerosZeros

Reproduction

Analysis started2024-01-09 21:12:48.696828
Analysis finished2024-01-09 21:12:54.122516
Duration5.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준연도
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2020
227 
2018
226 
2019
226 

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 (%)
2020 227
33.4%
2018 226
33.3%
2019 226
33.3%

Length

2024-01-10T06:12:54.196890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:12:54.315814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 227
33.4%
2018 226
33.3%
2019 226
33.3%

행정동코드
Real number (ℝ)

Distinct227
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7559429 × 109
Minimum1.111 × 109
Maximum4.889 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-01-10T06:12:54.456721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111 × 109
5-th percentile1.138 × 109
Q12.826 × 109
median4.272 × 109
Q34.672 × 109
95-th percentile4.831 × 109
Maximum4.889 × 109
Range3.778 × 109
Interquartile range (IQR)1.846 × 109

Descriptive statistics

Standard deviation1.168419 × 109
Coefficient of variation (CV)0.3110854
Kurtosis0.080781434
Mean3.7559429 × 109
Median Absolute Deviation (MAD)4.43 × 108
Skewness-1.140777
Sum2.5502852 × 1012
Variance1.3652029 × 1018
MonotonicityNot monotonic
2024-01-10T06:12:54.621008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4873000000 3
 
0.4%
4872000000 3
 
0.4%
4874000000 3
 
0.4%
4812000000 3
 
0.4%
4822000000 3
 
0.4%
1141000000 3
 
0.4%
1171000000 3
 
0.4%
1117000000 3
 
0.4%
1126000000 3
 
0.4%
3120000000 3
 
0.4%
Other values (217) 649
95.6%
ValueCountFrequency (%)
1111000000 3
0.4%
1114000000 3
0.4%
1117000000 3
0.4%
1120000000 3
0.4%
1121500000 3
0.4%
1123000000 3
0.4%
1126000000 3
0.4%
1129000000 3
0.4%
1130500000 3
0.4%
1132000000 3
0.4%
ValueCountFrequency (%)
4889000000 3
0.4%
4888000000 3
0.4%
4887000000 3
0.4%
4886000000 3
0.4%
4885000000 3
0.4%
4884000000 3
0.4%
4882000000 3
0.4%
4874000000 3
0.4%
4873000000 3
0.4%
4872000000 3
0.4%

기준배출량
Real number (ℝ)

HIGH CORRELATION 

Distinct564
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6082.9411
Minimum1000
Maximum27193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-01-10T06:12:54.775094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1825.7
Q13452
median5074
Q37403.5
95-th percentile14255.2
Maximum27193
Range26193
Interquartile range (IQR)3951.5

Descriptive statistics

Standard deviation4049.3807
Coefficient of variation (CV)0.66569455
Kurtosis4.917666
Mean6082.9411
Median Absolute Deviation (MAD)1810
Skewness1.9490749
Sum4130317
Variance16397484
MonotonicityNot monotonic
2024-01-10T06:12:55.135195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2867 3
 
0.4%
2363 3
 
0.4%
7189 3
 
0.4%
1704 3
 
0.4%
6013 3
 
0.4%
7778 3
 
0.4%
1923 3
 
0.4%
3747 3
 
0.4%
3516 3
 
0.4%
1699 3
 
0.4%
Other values (554) 649
95.6%
ValueCountFrequency (%)
1000 1
 
0.1%
1199 1
 
0.1%
1383 1
 
0.1%
1407 1
 
0.1%
1412 1
 
0.1%
1430 1
 
0.1%
1437 1
 
0.1%
1447 3
0.4%
1490 3
0.4%
1515 1
 
0.1%
ValueCountFrequency (%)
27193 1
0.1%
26644 1
0.1%
26628 1
0.1%
22371 1
0.1%
22138 2
0.3%
21779 1
0.1%
19953 1
0.1%
19672 2
0.3%
18831 1
0.1%
18618 1
0.1%

온실가스배출량
Real number (ℝ)

HIGH CORRELATION 

Distinct649
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4995.4654
Minimum929
Maximum20149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-01-10T06:12:55.265967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum929
5-th percentile1591.6
Q12805.5
median4259
Q36001
95-th percentile12286.3
Maximum20149
Range19220
Interquartile range (IQR)3195.5

Descriptive statistics

Standard deviation3166.7742
Coefficient of variation (CV)0.63392977
Kurtosis3.8216193
Mean4995.4654
Median Absolute Deviation (MAD)1579
Skewness1.7606478
Sum3391921
Variance10028459
MonotonicityNot monotonic
2024-01-10T06:12:55.420043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5417 2
 
0.3%
1651 2
 
0.3%
6477 2
 
0.3%
3956 2
 
0.3%
4259 2
 
0.3%
2589 2
 
0.3%
6277 2
 
0.3%
2420 2
 
0.3%
4804 2
 
0.3%
3854 2
 
0.3%
Other values (639) 659
97.1%
ValueCountFrequency (%)
929 1
0.1%
1054 1
0.1%
1079 1
0.1%
1084 1
0.1%
1094 1
0.1%
1117 1
0.1%
1141 1
0.1%
1145 1
0.1%
1158 1
0.1%
1190 1
0.1%
ValueCountFrequency (%)
20149 1
0.1%
19466 1
0.1%
19383 1
0.1%
18564 1
0.1%
17808 1
0.1%
16919 1
0.1%
16613 1
0.1%
15764 1
0.1%
15499 1
0.1%
15005 1
0.1%

외부감축사업감축량
Real number (ℝ)

ZEROS 

Distinct263
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.94551
Minimum0
Maximum1861
Zeros333
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-01-10T06:12:55.638542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q3223.5
95-th percentile717
Maximum1861
Range1861
Interquartile range (IQR)223.5

Descriptive statistics

Standard deviation276.24277
Coefficient of variation (CV)1.7163745
Kurtosis10.013706
Mean160.94551
Median Absolute Deviation (MAD)8
Skewness2.7715926
Sum109282
Variance76310.069
MonotonicityNot monotonic
2024-01-10T06:12:55.847540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 333
49.0%
68 5
 
0.7%
204 4
 
0.6%
214 3
 
0.4%
192 3
 
0.4%
200 3
 
0.4%
278 3
 
0.4%
662 3
 
0.4%
56 3
 
0.4%
353 3
 
0.4%
Other values (253) 316
46.5%
ValueCountFrequency (%)
0 333
49.0%
4 2
 
0.3%
6 1
 
0.1%
7 1
 
0.1%
8 3
 
0.4%
9 2
 
0.3%
10 2
 
0.3%
11 1
 
0.1%
12 2
 
0.3%
13 2
 
0.3%
ValueCountFrequency (%)
1861 1
0.1%
1856 1
0.1%
1845 1
0.1%
1671 1
0.1%
1592 1
0.1%
1549 1
0.1%
1186 1
0.1%
1166 1
0.1%
1097 1
0.1%
1085 1
0.1%

탄소포인트감축량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct420
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean432.3623
Minimum0
Maximum2719
Zeros68
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-01-10T06:12:56.162595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1184.5
median337
Q3540.5
95-th percentile1166.3
Maximum2719
Range2719
Interquartile range (IQR)356

Descriptive statistics

Standard deviation405.52567
Coefficient of variation (CV)0.93793024
Kurtosis6.9787371
Mean432.3623
Median Absolute Deviation (MAD)172
Skewness2.2346562
Sum293574
Variance164451.07
MonotonicityNot monotonic
2024-01-10T06:12:56.318685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68
 
10.0%
280 7
 
1.0%
257 6
 
0.9%
169 5
 
0.7%
244 5
 
0.7%
601 5
 
0.7%
442 5
 
0.7%
328 4
 
0.6%
200 4
 
0.6%
413 4
 
0.6%
Other values (410) 566
83.4%
ValueCountFrequency (%)
0 68
10.0%
17 1
 
0.1%
18 1
 
0.1%
20 1
 
0.1%
21 1
 
0.1%
23 1
 
0.1%
24 1
 
0.1%
27 1
 
0.1%
28 1
 
0.1%
32 1
 
0.1%
ValueCountFrequency (%)
2719 1
0.1%
2664 1
0.1%
2662 1
0.1%
2213 2
0.3%
2177 1
0.1%
1995 1
0.1%
1967 2
0.3%
1883 1
0.1%
1861 1
0.1%
1856 1
0.1%

온실가스감축량
Real number (ℝ)

HIGH CORRELATION 

Distinct617
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1680.8159
Minimum-869
Maximum12371
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)1.3%
Memory size6.1 KiB
2024-01-10T06:12:56.440717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-869
5-th percentile230.8
Q1718
median1235
Q32126
95-th percentile4607.4
Maximum12371
Range13240
Interquartile range (IQR)1408

Descriptive statistics

Standard deviation1569.3245
Coefficient of variation (CV)0.93366826
Kurtosis8.6518095
Mean1680.8159
Median Absolute Deviation (MAD)642
Skewness2.4516561
Sum1141274
Variance2462779.3
MonotonicityNot monotonic
2024-01-10T06:12:56.564297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
814 3
 
0.4%
2821 3
 
0.4%
409 3
 
0.4%
3299 2
 
0.3%
2207 2
 
0.3%
2243 2
 
0.3%
843 2
 
0.3%
1705 2
 
0.3%
382 2
 
0.3%
1276 2
 
0.3%
Other values (607) 656
96.6%
ValueCountFrequency (%)
-869 1
0.1%
-685 1
0.1%
-261 1
0.1%
-99 1
0.1%
-68 1
0.1%
-57 1
0.1%
-48 1
0.1%
-37 1
0.1%
-20 1
0.1%
23 1
0.1%
ValueCountFrequency (%)
12371 1
0.1%
10628 1
0.1%
9925 1
0.1%
8920 1
0.1%
8852 1
0.1%
8700 1
0.1%
8407 1
0.1%
7822 1
0.1%
7330 1
0.1%
7150 1
0.1%

온실가스감축률
Real number (ℝ)

HIGH CORRELATION 

Distinct674
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.445177
Minimum-19.849
Maximum54.754
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)1.3%
Memory size6.1 KiB
2024-01-10T06:12:56.685898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-19.849
5-th percentile5.4845
Q118.029
median28.228
Q334.145
95-th percentile43.766
Maximum54.754
Range74.603
Interquartile range (IQR)16.116

Descriptive statistics

Standard deviation11.566191
Coefficient of variation (CV)0.43736485
Kurtosis-0.020774905
Mean26.445177
Median Absolute Deviation (MAD)7.597
Skewness-0.3690719
Sum17956.275
Variance133.77677
MonotonicityNot monotonic
2024-01-10T06:12:56.838362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.021 2
 
0.3%
19.508 2
 
0.3%
24.233 2
 
0.3%
10.884 2
 
0.3%
36.699 2
 
0.3%
24.475 1
 
0.1%
23.837 1
 
0.1%
25.965 1
 
0.1%
38.582 1
 
0.1%
32.212 1
 
0.1%
Other values (664) 664
97.8%
ValueCountFrequency (%)
-19.849 1
0.1%
-9.24 1
0.1%
-6.118 1
0.1%
-3.119 1
0.1%
-1.659 1
0.1%
-1.358 1
0.1%
-1.274 1
0.1%
-0.886 1
0.1%
-0.463 1
0.1%
0.204 1
0.1%
ValueCountFrequency (%)
54.754 1
0.1%
54.239 1
0.1%
52.85 1
0.1%
52.515 1
0.1%
52.148 1
0.1%
52.011 1
0.1%
49.871 1
0.1%
49.369 1
0.1%
49.305 1
0.1%
48.769 1
0.1%

Interactions

2024-01-10T06:12:53.212431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:48.985684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:49.980781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:50.701437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:51.322932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:51.948925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:52.591609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:53.305665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:49.081216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:50.083410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:50.799000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:51.421585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:52.051265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:52.690021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:53.386250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:49.175487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:50.198327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:50.885331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:51.511211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:52.140421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:52.775402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:53.480754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:49.271724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:50.331397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:50.974037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:51.603671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:52.239616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:52.870268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:53.573330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:49.388581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:50.429982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:51.064216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:51.688731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:52.331874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:52.962664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:53.663338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:49.481477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:50.517021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:51.145872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:51.773180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:52.412798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:53.042725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:53.764515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:49.874632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:50.601030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:51.237005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:51.856851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:52.497075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:12:53.125358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:12:56.956307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준연도행정동코드기준배출량온실가스배출량외부감축사업감축량탄소포인트감축량온실가스감축량온실가스감축률
기준연도1.0000.0000.0000.0000.1460.0000.2840.450
행정동코드0.0001.0000.5060.5160.5140.4030.4080.168
기준배출량0.0000.5061.0000.9450.5340.9660.9160.044
온실가스배출량0.0000.5160.9451.0000.5790.8840.8780.190
외부감축사업감축량0.1460.5140.5340.5791.0000.4740.6740.229
탄소포인트감축량0.0000.4030.9660.8840.4741.0000.9180.418
온실가스감축량0.2840.4080.9160.8780.6740.9181.0000.686
온실가스감축률0.4500.1680.0440.1900.2290.4180.6861.000
2024-01-10T06:12:57.073472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동코드기준배출량온실가스배출량외부감축사업감축량탄소포인트감축량온실가스감축량온실가스감축률기준연도
행정동코드1.0000.1720.1730.1320.1470.1310.0340.000
기준배출량0.1721.0000.9760.1010.5510.7510.1290.000
온실가스배출량0.1730.9761.0000.1150.5180.624-0.0400.000
외부감축사업감축량0.1320.1010.1151.0000.2000.2560.2820.064
탄소포인트감축량0.1470.5510.5180.2001.0000.6750.4440.000
온실가스감축량0.1310.7510.6240.2560.6751.0000.6890.177
온실가스감축률0.0340.129-0.0400.2820.4440.6891.0000.302
기준연도0.0000.0000.0000.0640.0000.1770.3021.000

Missing values

2024-01-10T06:12:53.912120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:12:54.058921image/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

기준연도행정동코드기준배출량온실가스배출량외부감축사업감축량탄소포인트감축량온실가스감축량온실가스감축률
02018487300000056164565270218153927.404
12018488700000043574080028055712.784
22018488900000044324089443414120027.076
320184713000000997775270298274827.543
420184783000000414037781503779.106
52018471900000010297872610291029362935.243
6201847720000003373352612477481.423
72018472800000014233132462791178244417.171
82018479200000043923312122377157935.952
9201847250000009405110168734-869-9.24
기준연도행정동코드기준배출량온실가스배출량외부감축사업감축량탄소포인트감축량온실가스감축량온실가스감축률
6692020438000000061984829310308198732.059
6702020437200000057115094571473166129.084
67120204374000000206319113610629414.251
6722020437300000063334948356426216734.218
673202043770000003660371110936041811.421
6742020431500000037513103180375120332.071
6752020437450000053964785531539168131.153
67620204375000000359826800359127735.492
6772020431100000016815136947001681550232.721
6782020431300000072166024450721236332.747