Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows5
Duplicate rows (%)0.1%
Total size in memory761.7 KiB
Average record size in memory78.0 B

Variable types

Numeric6
Categorical2

Alerts

Dataset has 5 (0.1%) duplicate rowsDuplicates
고객가구수(호) is highly overall correlated with 전력사용량(kWh) and 1 other fieldsHigh correlation
전력사용량(kWh) is highly overall correlated with 고객가구수(호) and 1 other fieldsHigh correlation
전기요금합계(원) is highly overall correlated with 고객가구수(호) and 1 other fieldsHigh correlation

Reproduction

Analysis started2024-04-11 02:55:39.236057
Analysis finished2024-04-11 02:55:52.919407
Duration13.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사용년도
Real number (ℝ)

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012.9327
Minimum2002
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-11T11:55:53.079836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2002
5-th percentile2003
Q12007
median2013
Q32019
95-th percentile2023
Maximum2024
Range22
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.4347736
Coefficient of variation (CV)0.0031967157
Kurtosis-1.2249813
Mean2012.9327
Median Absolute Deviation (MAD)6
Skewness-0.075310382
Sum20129327
Variance41.406311
MonotonicityNot monotonic
2024-04-11T11:55:53.316541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2020 570
 
5.7%
2023 529
 
5.3%
2022 518
 
5.2%
2018 496
 
5.0%
2019 481
 
4.8%
2015 471
 
4.7%
2014 449
 
4.5%
2016 444
 
4.4%
2008 441
 
4.4%
2002 439
 
4.4%
Other values (13) 5162
51.6%
ValueCountFrequency (%)
2002 439
4.4%
2003 409
4.1%
2004 424
4.2%
2005 432
4.3%
2006 431
4.3%
2007 430
4.3%
2008 441
4.4%
2009 429
4.3%
2010 433
4.3%
2011 417
4.2%
ValueCountFrequency (%)
2024 32
 
0.3%
2023 529
5.3%
2022 518
5.2%
2021 437
4.4%
2020 570
5.7%
2019 481
4.8%
2018 496
5.0%
2017 431
4.3%
2016 444
4.4%
2015 471
4.7%

사용월
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5397
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-11T11:55:53.568417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.4812118
Coefficient of variation (CV)0.5323198
Kurtosis-1.2395437
Mean6.5397
Median Absolute Deviation (MAD)3
Skewness-0.012688541
Sum65397
Variance12.118836
MonotonicityNot monotonic
2024-04-11T11:55:53.801000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
11 905
9.0%
3 878
8.8%
12 852
8.5%
1 846
8.5%
10 844
8.4%
5 839
8.4%
6 837
8.4%
9 827
8.3%
7 810
8.1%
2 808
8.1%
Other values (2) 1554
15.5%
ValueCountFrequency (%)
1 846
8.5%
2 808
8.1%
3 878
8.8%
4 770
7.7%
5 839
8.4%
6 837
8.4%
7 810
8.1%
8 784
7.8%
9 827
8.3%
10 844
8.4%
ValueCountFrequency (%)
12 852
8.5%
11 905
9.0%
10 844
8.4%
9 827
8.3%
8 784
7.8%
7 810
8.1%
6 837
8.4%
5 839
8.4%
4 770
7.7%
3 878
8.8%

시군명
Categorical

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
김포시
 
368
광주시
 
350
성남시
 
346
과천시
 
344
평택시
 
339
Other values (40)
8253 

Length

Max length8
Median length3
Mean length3.1059
Min length3

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row양평군
2nd row남양주시
3rd row용인시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
김포시 368
 
3.7%
광주시 350
 
3.5%
성남시 346
 
3.5%
과천시 344
 
3.4%
평택시 339
 
3.4%
광명시 338
 
3.4%
여주시 334
 
3.3%
연천군 330
 
3.3%
가평군 330
 
3.3%
안양시 330
 
3.3%
Other values (35) 6591
65.9%

Length

2024-04-11T11:55:54.026406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김포시 368
 
3.7%
성남시 350
 
3.5%
광주시 350
 
3.5%
과천시 344
 
3.4%
평택시 339
 
3.4%
광명시 338
 
3.4%
여주시 334
 
3.3%
안양시 334
 
3.3%
연천군 330
 
3.3%
가평군 330
 
3.3%
Other values (35) 6608
65.9%

계약종류명
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반용
1415 
교육용
1393 
농사용
1384 
산업용
1373 
주택용
1360 
Other values (4)
3075 

Length

Max length3
Median length3
Mean length2.8639
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산업용
2nd row주택용
3rd row농사용
4th row심 야
5th row교육용

Common Values

ValueCountFrequency (%)
일반용 1415
14.1%
교육용 1393
13.9%
농사용 1384
13.8%
산업용 1373
13.7%
주택용 1360
13.6%
가로등 1349
13.5%
심야 990
9.9%
합계 371
 
3.7%
심 야 365
 
3.6%

Length

2024-04-11T11:55:54.283792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:55:54.519679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반용 1415
13.7%
교육용 1393
13.4%
농사용 1384
13.4%
산업용 1373
13.2%
주택용 1360
13.1%
가로등 1349
13.0%
심야 990
9.6%
합계 371
 
3.6%
심 365
 
3.5%
야 365
 
3.5%

고객가구수(호)
Real number (ℝ)

HIGH CORRELATION 

Distinct7374
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22623.337
Minimum1
Maximum377465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-11T11:55:54.825893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile82
Q11099
median5912
Q316896
95-th percentile121652.4
Maximum377465
Range377464
Interquartile range (IQR)15797

Descriptive statistics

Standard deviation48377.351
Coefficient of variation (CV)2.1383827
Kurtosis14.891009
Mean22623.337
Median Absolute Deviation (MAD)5435
Skewness3.6818258
Sum2.2623337 × 108
Variance2.3403681 × 109
MonotonicityNot monotonic
2024-04-11T11:55:55.138383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 24
 
0.2%
45 22
 
0.2%
81 19
 
0.2%
80 19
 
0.2%
67 18
 
0.2%
47 17
 
0.2%
85 17
 
0.2%
109 17
 
0.2%
69 16
 
0.2%
87 16
 
0.2%
Other values (7364) 9815
98.2%
ValueCountFrequency (%)
1 3
 
< 0.1%
19 2
 
< 0.1%
20 2
 
< 0.1%
21 1
 
< 0.1%
22 1
 
< 0.1%
24 2
 
< 0.1%
25 9
0.1%
26 4
 
< 0.1%
27 10
0.1%
29 2
 
< 0.1%
ValueCountFrequency (%)
377465 1
< 0.1%
377028 1
< 0.1%
376606 1
< 0.1%
375802 1
< 0.1%
375023 1
< 0.1%
373109 1
< 0.1%
372747 1
< 0.1%
372542 1
< 0.1%
370994 1
< 0.1%
370219 1
< 0.1%

전력사용량(kWh)
Real number (ℝ)

HIGH CORRELATION 

Distinct9988
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50714440
Minimum-31815251
Maximum1.9038944 × 109
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size166.0 KiB
2024-04-11T11:55:55.454536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-31815251
5-th percentile499445.4
Q11970838.5
median8979659
Q340095325
95-th percentile2.1822459 × 108
Maximum1.9038944 × 109
Range1.9357097 × 109
Interquartile range (IQR)38124486

Descriptive statistics

Standard deviation1.3982189 × 108
Coefficient of variation (CV)2.7570429
Kurtosis59.528834
Mean50714440
Median Absolute Deviation (MAD)8261279.5
Skewness6.7255099
Sum5.071444 × 1011
Variance1.955016 × 1016
MonotonicityNot monotonic
2024-04-11T11:55:55.812052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149471809 2
 
< 0.1%
1475582 2
 
< 0.1%
329377797 2
 
< 0.1%
19757781 2
 
< 0.1%
1612140864 2
 
< 0.1%
21951684 2
 
< 0.1%
215386081 2
 
< 0.1%
7838036 2
 
< 0.1%
9560068 2
 
< 0.1%
3555189 2
 
< 0.1%
Other values (9978) 9980
99.8%
ValueCountFrequency (%)
-31815251 1
< 0.1%
-3477031 1
< 0.1%
55 1
< 0.1%
59 1
< 0.1%
62 1
< 0.1%
23514 1
< 0.1%
28374 1
< 0.1%
29361 1
< 0.1%
38007 1
< 0.1%
44813 1
< 0.1%
ValueCountFrequency (%)
1903894412 1
< 0.1%
1831832761 1
< 0.1%
1802210594 1
< 0.1%
1798416767 1
< 0.1%
1798098504 1
< 0.1%
1794299086 1
< 0.1%
1754155183 1
< 0.1%
1716594160 1
< 0.1%
1710803299 1
< 0.1%
1688288859 1
< 0.1%

전기요금합계(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct9988
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5902334 × 109
Minimum-1.0815438 × 1010
Maximum3.0628301 × 1011
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)< 0.1%
Memory size166.0 KiB
2024-04-11T11:55:56.096968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.0815438 × 1010
5-th percentile30332798
Q11.581845 × 108
median6.8433591 × 108
Q34.2568449 × 109
95-th percentile2.3671088 × 1010
Maximum3.0628301 × 1011
Range3.1709844 × 1011
Interquartile range (IQR)4.0986604 × 109

Descriptive statistics

Standard deviation1.6778764 × 1010
Coefficient of variation (CV)3.0014426
Kurtosis89.294678
Mean5.5902334 × 109
Median Absolute Deviation (MAD)6.3748546 × 108
Skewness7.9557798
Sum5.5902334 × 1013
Variance2.8152693 × 1020
MonotonicityNot monotonic
2024-04-11T11:55:56.409086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5372 3
 
< 0.1%
713026253 2
 
< 0.1%
162025002 2
 
< 0.1%
25442777082 2
 
< 0.1%
1476533601 2
 
< 0.1%
183372078564 2
 
< 0.1%
40125183338 2
 
< 0.1%
1656508896 2
 
< 0.1%
16617891421 2
 
< 0.1%
1056719212 2
 
< 0.1%
Other values (9978) 9979
99.8%
ValueCountFrequency (%)
-10815437993 1
 
< 0.1%
-316865845 1
 
< 0.1%
-155969415 1
 
< 0.1%
-75721638 1
 
< 0.1%
5372 3
< 0.1%
2182212 1
 
< 0.1%
2207553 1
 
< 0.1%
2411335 1
 
< 0.1%
2423930 1
 
< 0.1%
2706634 1
 
< 0.1%
ValueCountFrequency (%)
306283006324 1
< 0.1%
303779325045 1
< 0.1%
293903486026 1
< 0.1%
282882210520 1
< 0.1%
281148403727 1
< 0.1%
227808113424 1
< 0.1%
218333357624 1
< 0.1%
215808607328 1
< 0.1%
215708918001 1
< 0.1%
212638490804 1
< 0.1%

평균판매단가(원/kWh)
Real number (ℝ)

Distinct1436
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.01394
Minimum-313.3
Maximum226.1
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)< 0.1%
Memory size166.0 KiB
2024-04-11T11:55:56.682393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-313.3
5-th percentile41.1
Q164.2
median99
Q3117.8
95-th percentile143.8
Maximum226.1
Range539.4
Interquartile range (IQR)53.6

Descriptive statistics

Standard deviation33.968068
Coefficient of variation (CV)0.3651933
Kurtosis1.7749251
Mean93.01394
Median Absolute Deviation (MAD)24.6
Skewness-0.29838778
Sum930139.4
Variance1153.8296
MonotonicityNot monotonic
2024-04-11T11:55:56.956533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.8 24
 
0.2%
115.7 23
 
0.2%
46.7 23
 
0.2%
119.2 23
 
0.2%
122.3 23
 
0.2%
107.6 22
 
0.2%
115.5 22
 
0.2%
114.8 22
 
0.2%
110.8 22
 
0.2%
45.9 21
 
0.2%
Other values (1426) 9775
97.8%
ValueCountFrequency (%)
-313.3 1
 
< 0.1%
-199.0 1
 
< 0.1%
-78.9 1
 
< 0.1%
-16.4 1
 
< 0.1%
23.2 9
0.1%
23.3 5
0.1%
23.4 1
 
< 0.1%
23.5 3
 
< 0.1%
23.7 1
 
< 0.1%
24.1 1
 
< 0.1%
ValueCountFrequency (%)
226.1 1
< 0.1%
193.8 1
< 0.1%
188.9 1
< 0.1%
188.5 1
< 0.1%
188.4 1
< 0.1%
186.9 1
< 0.1%
185.9 1
< 0.1%
185.1 1
< 0.1%
184.3 1
< 0.1%
183.0 1
< 0.1%

Interactions

2024-04-11T11:55:50.721331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:43.453349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:45.103497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:46.432634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:48.005521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:49.339882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:50.928346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:43.962361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:45.305454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:46.697031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:48.199106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:49.556935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:51.140009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:44.186212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:45.540686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:46.940556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:48.422679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:49.759792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:51.385923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:44.422148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:45.772802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:47.208998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:48.638165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:50.044879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:51.632967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:44.685118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:45.997589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:47.549640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:48.883550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:50.273610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:51.858734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:44.887704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:46.223343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:47.813924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:49.125627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:55:50.526278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T11:55:57.167833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사용년도사용월시군명계약종류명고객가구수(호)전력사용량(kWh)전기요금합계(원)평균판매단가(원/kWh)
사용년도1.0000.0940.0660.3400.2420.1900.1730.364
사용월0.0941.0000.1020.0000.0000.0000.0250.182
시군명0.0660.1021.0000.0000.5020.4250.3830.065
계약종류명0.3400.0000.0001.0000.5960.4310.5460.575
고객가구수(호)0.2420.0000.5020.5961.0000.6430.5460.218
전력사용량(kWh)0.1900.0000.4250.4310.6431.0000.8650.105
전기요금합계(원)0.1730.0250.3830.5460.5460.8651.0000.142
평균판매단가(원/kWh)0.3640.1820.0650.5750.2180.1050.1421.000
2024-04-11T11:55:57.695087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명계약종류명
시군명1.0000.000
계약종류명0.0001.000
2024-04-11T11:55:57.898981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사용년도사용월고객가구수(호)전력사용량(kWh)전기요금합계(원)평균판매단가(원/kWh)시군명계약종류명
사용년도1.0000.0170.1520.1370.2090.4520.0240.162
사용월0.0171.0000.012-0.028-0.0190.0510.0350.000
고객가구수(호)0.1520.0121.0000.6380.6310.2890.1930.322
전력사용량(kWh)0.137-0.0280.6381.0000.9810.3420.1570.212
전기요금합계(원)0.209-0.0190.6310.9811.0000.4990.1380.202
평균판매단가(원/kWh)0.4520.0510.2890.3420.4991.0000.0200.324
시군명0.0240.0350.1930.1570.1380.0201.0000.000
계약종류명0.1620.0000.3220.2120.2020.3240.0001.000

Missing values

2024-04-11T11:55:52.471164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T11:55:52.756181image/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

사용년도사용월시군명계약종류명고객가구수(호)전력사용량(kWh)전기요금합계(원)평균판매단가(원/kWh)
1336820199양평군산업용265887697351061229235121.0
5785120029남양주시주택용63787298202973338502875112.0
52522200410용인시농사용6877410358018494084245.1
257120233고양시심 야43497139116723535483101.3
3328020122고양시교육용52691667331054207591115.0
2270820163부천시농사용6943268501679057851.4
1693820186하남시일반용13893380636755201986727136.7
2438120157고양시산업용5325565948677726758972136.5
595120222연천군심 야38191228951891760043274.7
239120234동두천시산업용577191979832778913951144.8
사용년도사용월시군명계약종류명고객가구수(호)전력사용량(kWh)전기요금합계(원)평균판매단가(원/kWh)
1607620189안산시주택용23684587009797748213590786.0
754420216광명시주택용44507282874572851735561100.8
1151320204광명시합계73532820686518903433047108.5
36541201011과천시농사용11636105112793274345.8
57568200211화성시농사용175361312738145536102834.7
33901201112포천시심야989132905895211930467464.4
3055420133안성시가로등135291701809175815057103.3
54734200312포천시교육용68191654015125148978.9
3815020104안성시심야1252931698683128361533240.5
712020219수원시산업용2318615021566286096031102.2

Duplicate rows

Most frequently occurring

사용년도사용월시군명계약종류명고객가구수(호)전력사용량(kWh)전기요금합계(원)평균판매단가(원/kWh)# duplicates
0202011가평군산업용118078380361056719212134.82
1202011광주시합계19546421538608125442777082118.12
2202011김포시합계13458632937779740125183338121.82
3202011여주시교육용851475582162025002109.82
4202011화성시합계2825901612140864183372078564113.72