Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells68
Missing cells (%)0.1%
Duplicate rows87
Duplicate rows (%)0.9%
Total size in memory869.1 KiB
Average record size in memory89.0 B

Variable types

Categorical6
Text2
Numeric1
DateTime1

Dataset

Description한국남동발전의 올바로시스템 처리계획서 정보입니다. 연계업체, 배출업체, 처리업체, 처리량, 운반업체 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15068896/fileData.do

Alerts

Dataset has 87 (0.9%) duplicate rowsDuplicates
배출업체 is highly overall correlated with 연계업체 and 1 other fieldsHigh correlation
연계업체 is highly overall correlated with 배출업체 and 1 other fieldsHigh correlation
배출주기 is highly overall correlated with 연계업체 and 1 other fieldsHigh correlation
처리구분 is highly overall correlated with 운반구분High correlation
운반구분 is highly overall correlated with 처리구분High correlation
성상 is highly imbalanced (72.6%)Imbalance
배출주기 is highly imbalanced (50.8%)Imbalance
처리구분 is highly imbalanced (93.8%)Imbalance
운반구분 is highly imbalanced (89.1%)Imbalance

Reproduction

Analysis started2023-12-12 06:17:12.364447
Analysis finished2023-12-12 06:17:13.766195
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연계업체
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영흥화력본부
7238 
삼천포화력본부
2762 

Length

Max length7
Median length6
Mean length6.2762
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row삼천포화력본부
2nd row삼천포화력본부
3rd row영흥화력본부
4th row영흥화력본부
5th row영흥화력본부

Common Values

ValueCountFrequency (%)
영흥화력본부 7238
72.4%
삼천포화력본부 2762
 
27.6%

Length

2023-12-12T15:17:13.831727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:17:13.937627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영흥화력본부 7238
72.4%
삼천포화력본부 2762
 
27.6%

배출업체
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영흥화력본부
7238 
삼천포화력본부
2762 

Length

Max length7
Median length6
Mean length6.2762
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row삼천포화력본부
2nd row삼천포화력본부
3rd row영흥화력본부
4th row영흥화력본부
5th row영흥화력본부

Common Values

ValueCountFrequency (%)
영흥화력본부 7238
72.4%
삼천포화력본부 2762
 
27.6%

Length

2023-12-12T15:17:14.049939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:17:14.147074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영흥화력본부 7238
72.4%
삼천포화력본부 2762
 
27.6%

성상
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고상
9251 
액상
 
614
기타
 
135

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row액상
2nd row액상
3rd row고상
4th row고상
5th row액상

Common Values

ValueCountFrequency (%)
고상 9251
92.5%
액상 614
 
6.1%
기타 135
 
1.4%

Length

2023-12-12T15:17:14.239802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:17:14.352635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고상 9251
92.5%
액상 614
 
6.1%
기타 135
 
1.4%

배출주기
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수시
7991 
<NA>
1121 
연중수시
 
720
일시
 
168

Length

Max length4
Median length2
Mean length2.3682
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연중수시
2nd row연중수시
3rd row수시
4th row<NA>
5th row수시

Common Values

ValueCountFrequency (%)
수시 7991
79.9%
<NA> 1121
 
11.2%
연중수시 720
 
7.2%
일시 168
 
1.7%

Length

2023-12-12T15:17:14.454202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:17:14.549574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 7991
79.9%
na 1121
 
11.2%
연중수시 720
 
7.2%
일시 168
 
1.7%

처리구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
위탁
9927 
자가
 
73

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁 9927
99.3%
자가 73
 
0.7%

Length

2023-12-12T15:17:14.651036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:17:14.733402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 9927
99.3%
자가 73
 
0.7%

처리업체
Text

Distinct84
Distinct (%)0.8%
Missing7
Missing (%)0.1%
Memory size156.2 KiB
2023-12-12T15:17:14.913964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length10.289403
Min length4

Characters and Unicode

Total characters102822
Distinct characters176
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row(주)대성에코에너지센터
2nd row(주)클린코리아안강공장
3rd row영진티앤엠(주)
4th row신대한정유산업(주)
5th row덕은인터라인정유(주)
ValueCountFrequency (%)
영진티앤엠(주 683
 
5.9%
현대시멘트(주)단양공장 594
 
5.1%
현대시멘트(주)영월공장 551
 
4.8%
성신양회(주)단양공장 539
 
4.7%
주)고려시멘트 536
 
4.6%
장성공장 536
 
4.6%
신대한정유산업(주 426
 
3.7%
주식회사 425
 
3.7%
주)이에스지청주 328
 
2.8%
고려산업 286
 
2.5%
Other values (82) 6636
57.5%
2023-12-12T15:17:15.252717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 10451
 
10.2%
( 8737
 
8.5%
) 8737
 
8.5%
장 3933
 
3.8%
공 3743
 
3.6%
시 2572
 
2.5%
트 2460
 
2.4%
멘 2426
 
2.4%
대 2145
 
2.1%
업 2111
 
2.1%
Other values (166) 55507
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82708
80.4%
Open Punctuation 8948
 
8.7%
Close Punctuation 8948
 
8.7%
Space Separator 1547
 
1.5%
Uppercase Letter 572
 
0.6%
Dash Punctuation 57
 
0.1%
Decimal Number 42
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10451
 
12.6%
장 3933
 
4.8%
공 3743
 
4.5%
시 2572
 
3.1%
트 2460
 
3.0%
멘 2426
 
2.9%
대 2145
 
2.6%
업 2111
 
2.6%
양 1994
 
2.4%
에 1908
 
2.3%
Other values (157) 48965
59.2%
Open Punctuation
ValueCountFrequency (%)
( 8737
97.6%
[ 211
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 8737
97.6%
] 211
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
A 286
50.0%
F 286
50.0%
Space Separator
ValueCountFrequency (%)
1547
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Decimal Number
ValueCountFrequency (%)
2 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82708
80.4%
Common 19542
 
19.0%
Latin 572
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10451
 
12.6%
장 3933
 
4.8%
공 3743
 
4.5%
시 2572
 
3.1%
트 2460
 
3.0%
멘 2426
 
2.9%
대 2145
 
2.6%
업 2111
 
2.6%
양 1994
 
2.4%
에 1908
 
2.3%
Other values (157) 48965
59.2%
Common
ValueCountFrequency (%)
( 8737
44.7%
) 8737
44.7%
1547
 
7.9%
] 211
 
1.1%
[ 211
 
1.1%
- 57
 
0.3%
2 42
 
0.2%
Latin
ValueCountFrequency (%)
A 286
50.0%
F 286
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82708
80.4%
ASCII 20114
 
19.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 10451
 
12.6%
장 3933
 
4.8%
공 3743
 
4.5%
시 2572
 
3.1%
트 2460
 
3.0%
멘 2426
 
2.9%
대 2145
 
2.6%
업 2111
 
2.6%
양 1994
 
2.4%
에 1908
 
2.3%
Other values (157) 48965
59.2%
ASCII
ValueCountFrequency (%)
( 8737
43.4%
) 8737
43.4%
1547
 
7.7%
A 286
 
1.4%
F 286
 
1.4%
] 211
 
1.0%
[ 211
 
1.0%
- 57
 
0.3%
2 42
 
0.2%

처리량(킬로그램)
Real number (ℝ)

Distinct92
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79869383
Minimum200
Maximum6.66666 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:17:15.390784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile1000
Q150000
median680000
Q31 × 108
95-th percentile2.85571 × 108
Maximum6.66666 × 108
Range6.666658 × 108
Interquartile range (IQR)99950000

Descriptive statistics

Standard deviation1.5214634 × 108
Coefficient of variation (CV)1.9049395
Kurtosis7.4661531
Mean79869383
Median Absolute Deviation (MAD)679000
Skewness2.7327936
Sum7.9869383 × 1011
Variance2.3148509 × 1016
MonotonicityNot monotonic
2023-12-12T15:17:15.531278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000 493
 
4.9%
242000000 476
 
4.8%
30000000 453
 
4.5%
666666000 451
 
4.5%
100000000 404
 
4.0%
100000 393
 
3.9%
140000000 351
 
3.5%
120000000 333
 
3.3%
10000 280
 
2.8%
50000 277
 
2.8%
Other values (82) 6089
60.9%
ValueCountFrequency (%)
200 46
 
0.5%
1000 493
4.9%
2000 134
 
1.3%
3000 111
 
1.1%
5000 239
2.4%
7000 95
 
0.9%
10000 280
2.8%
11000 36
 
0.4%
12000 77
 
0.8%
15000 40
 
0.4%
ValueCountFrequency (%)
666666000 451
4.5%
536000000 36
 
0.4%
285571000 199
2.0%
242000000 476
4.8%
220000000 71
 
0.7%
200000000 233
2.3%
170000000 84
 
0.8%
166666000 203
2.0%
152000000 34
 
0.3%
140000000 351
3.5%

운반구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
위탁
9855 
자가
 
145

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁 9855
98.6%
자가 145
 
1.5%

Length

2023-12-12T15:17:15.674586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:17:15.783175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 9855
98.6%
자가 145
 
1.5%

운반업체
Text

Distinct131
Distinct (%)1.3%
Missing61
Missing (%)0.6%
Memory size156.2 KiB
2023-12-12T15:17:15.986444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length7.3948083
Min length4

Characters and Unicode

Total characters73497
Distinct characters179
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row(주)성화환경
2nd row신영산업(주)울산
3rd row주식회사 영진운수
4th row꿈에그린(주)
5th row덕은인터라인정유(주)
ValueCountFrequency (%)
꿈에그린(주 776
 
7.1%
주식회사 728
 
6.7%
주)동우 443
 
4.1%
주)동남환경 403
 
3.7%
주)성화환경 240
 
2.2%
주)지엔티 236
 
2.2%
주)만수 209
 
1.9%
주)대진물류 207
 
1.9%
주)주일도시개발 194
 
1.8%
동성화물자동차(주 192
 
1.8%
Other values (127) 7277
66.7%
2023-12-12T15:17:16.297856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 9190
 
12.5%
( 8389
 
11.4%
) 8389
 
11.4%
경 1842
 
2.5%
동 1761
 
2.4%
에 1628
 
2.2%
환 1340
 
1.8%
물 1313
 
1.8%
사 1127
 
1.5%
회 1091
 
1.5%
Other values (169) 37427
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55542
75.6%
Open Punctuation 8389
 
11.4%
Close Punctuation 8389
 
11.4%
Space Separator 966
 
1.3%
Uppercase Letter 132
 
0.2%
Decimal Number 42
 
0.1%
Dash Punctuation 37
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 9190
 
16.5%
경 1842
 
3.3%
동 1761
 
3.2%
에 1628
 
2.9%
환 1340
 
2.4%
물 1313
 
2.4%
사 1127
 
2.0%
회 1091
 
2.0%
류 1082
 
1.9%
수 1069
 
1.9%
Other values (161) 34099
61.4%
Uppercase Letter
ValueCountFrequency (%)
C 44
33.3%
K 44
33.3%
M 44
33.3%
Open Punctuation
ValueCountFrequency (%)
( 8389
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8389
100.0%
Space Separator
ValueCountFrequency (%)
966
100.0%
Decimal Number
ValueCountFrequency (%)
2 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55542
75.6%
Common 17823
 
24.2%
Latin 132
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 9190
 
16.5%
경 1842
 
3.3%
동 1761
 
3.2%
에 1628
 
2.9%
환 1340
 
2.4%
물 1313
 
2.4%
사 1127
 
2.0%
회 1091
 
2.0%
류 1082
 
1.9%
수 1069
 
1.9%
Other values (161) 34099
61.4%
Common
ValueCountFrequency (%)
( 8389
47.1%
) 8389
47.1%
966
 
5.4%
2 42
 
0.2%
- 37
 
0.2%
Latin
ValueCountFrequency (%)
C 44
33.3%
K 44
33.3%
M 44
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55542
75.6%
ASCII 17955
 
24.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 9190
 
16.5%
경 1842
 
3.3%
동 1761
 
3.2%
에 1628
 
2.9%
환 1340
 
2.4%
물 1313
 
2.4%
사 1127
 
2.0%
회 1091
 
2.0%
류 1082
 
1.9%
수 1069
 
1.9%
Other values (161) 34099
61.4%
ASCII
ValueCountFrequency (%)
( 8389
46.7%
) 8389
46.7%
966
 
5.4%
C 44
 
0.2%
K 44
 
0.2%
M 44
 
0.2%
2 42
 
0.2%
- 37
 
0.2%

등록일시
Date

Distinct830
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-01 03:51:00
Maximum2022-12-31 03:56:00
2023-12-12T15:17:16.420414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:17:16.538286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T15:17:13.294528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:17:16.624095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연계업체배출업체성상배출주기처리구분처리업체처리량(킬로그램)운반구분
연계업체1.0001.0000.1170.3180.2140.9880.3620.302
배출업체1.0001.0000.1170.3180.2140.9880.3620.302
성상0.1170.1171.0000.7490.0120.9840.1970.019
배출주기0.3180.3180.7491.0000.0160.9920.5270.024
처리구분0.2140.2140.0120.0161.0001.0000.1090.892
처리업체0.9880.9880.9840.9921.0001.0000.9370.916
처리량(킬로그램)0.3620.3620.1970.5270.1090.9371.0000.270
운반구분0.3020.3020.0190.0240.8920.9160.2701.000
2023-12-12T15:17:16.729583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운반구분배출업체배출주기성상연계업체처리구분
운반구분1.0000.1950.0400.0310.1950.702
배출업체0.1951.0000.5110.1941.0000.137
배출주기0.0400.5111.0000.4060.5110.026
성상0.0310.1940.4061.0000.1940.020
연계업체0.1951.0000.5110.1941.0000.137
처리구분0.7020.1370.0260.0200.1371.000
2023-12-12T15:17:16.831465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리량(킬로그램)연계업체배출업체성상배출주기처리구분운반구분
처리량(킬로그램)1.0000.3870.3870.1340.3640.1160.289
연계업체0.3871.0001.0000.1940.5110.1370.195
배출업체0.3871.0001.0000.1940.5110.1370.195
성상0.1340.1940.1941.0000.4060.0200.031
배출주기0.3640.5110.5110.4061.0000.0260.040
처리구분0.1160.1370.1370.0200.0261.0000.702
운반구분0.2890.1950.1950.0310.0400.7021.000

Missing values

2023-12-12T15:17:13.412779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:17:13.558374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T15:17:13.705797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연계업체배출업체성상배출주기처리구분처리업체처리량(킬로그램)운반구분운반업체등록일시
5112삼천포화력본부삼천포화력본부액상연중수시위탁(주)대성에코에너지센터20000위탁(주)성화환경2022-12-21 03:55
15535삼천포화력본부삼천포화력본부액상연중수시위탁(주)클린코리아안강공장25000위탁신영산업(주)울산2022-11-18 03:54
1726영흥화력본부영흥화력본부고상수시위탁영진티앤엠(주)100000000위탁주식회사 영진운수2022-12-29 03:09
31322영흥화력본부영흥화력본부고상<NA>위탁신대한정유산업(주)64000위탁꿈에그린(주)2022-09-23 03:04
13466영흥화력본부영흥화력본부액상수시위탁덕은인터라인정유(주)250000위탁덕은인터라인정유(주)2022-11-26 03:07
66468영흥화력본부영흥화력본부고상수시위탁현대시멘트(주)단양공장1000위탁(주)동서2022-04-30 04:00
258영흥화력본부영흥화력본부고상수시위탁한일시멘트(주)60000000위탁(주)동서로직스2022-12-31 03:09
66762영흥화력본부영흥화력본부고상수시위탁연경기초소재(주)화성공장100000000위탁주식회사케이티씨2022-04-29 04:00
76906영흥화력본부영흥화력본부고상수시위탁영진티앤엠(주)100000000위탁(주)대광기업물류2022-03-16 03:58
52899삼천포화력본부삼천포화력본부고상수시위탁(주)코엔텍5000위탁(주)만수2022-07-01 03:56
연계업체배출업체성상배출주기처리구분처리업체처리량(킬로그램)운반구분운반업체등록일시
82733삼천포화력본부삼천포화력본부액상연중수시위탁(주)그린필드22000위탁대림에너지(주)2022-02-19 03:50
36144삼천포화력본부삼천포화력본부고상수시위탁(주)대성에코에너지센터10000위탁(주)성화환경2022-09-04 03:59
7396삼천포화력본부삼천포화력본부고상수시위탁영주산업(주)120000위탁(주)태승2022-12-16 03:55
22307삼천포화력본부삼천포화력본부고상수시위탁거성산업(주)200000위탁(주)만수2022-10-25 03:53
64784삼천포화력본부삼천포화력본부고상수시자가한국남동발전(주) 삼천포화력200000000자가한국남동발전(주) 삼천포화력2022-05-08 03:54
55020영흥화력본부영흥화력본부고상수시위탁진명기업(주)680000위탁(주)지엔티2022-06-23 03:11
60643삼천포화력본부삼천포화력본부고상수시위탁(주)케이에스자원개발242000000위탁태경환경(함안)2022-05-30 03:54
3677삼천포화력본부삼천포화력본부고상수시위탁대호산업개발(주) 경주지점242000000위탁동성화물자동차(주)2022-12-24 03:55
60397삼천포화력본부삼천포화력본부고상수시위탁(주)대웅30000000위탁(유)명일물류2022-05-31 03:55
74905삼천포화력본부삼천포화력본부고상수시위탁한맥테코산업(주)율촌사업소100000위탁(주)동남환경2022-03-25 03:52

Duplicate rows

Most frequently occurring

연계업체배출업체성상배출주기처리구분처리업체처리량(킬로그램)운반구분운반업체등록일시# duplicates
33영흥화력본부영흥화력본부고상수시위탁(주)이에스지청주100000위탁(주)동우2022-12-31 03:094
31영흥화력본부영흥화력본부고상수시위탁(주)이에스지청주100000위탁(주)동우2022-12-24 03:083
34영흥화력본부영흥화력본부고상수시위탁(주)이에스지청주150000위탁(주)동우2022-12-31 03:093
0삼천포화력본부삼천포화력본부고상수시위탁(주)제이엔텍2000위탁(주)성화환경2022-09-23 03:512
1삼천포화력본부삼천포화력본부고상수시위탁(주)제이엔텍2000위탁(주)성화환경2022-12-04 03:552
2삼천포화력본부삼천포화력본부고상수시위탁(주)제이엔텍5000위탁(주)성화환경2022-10-25 03:532
3삼천포화력본부삼천포화력본부고상수시위탁(주)제이엔텍50000위탁(주)성화환경2022-12-08 03:552
4삼천포화력본부삼천포화력본부고상수시위탁(주)제이엔텍50000위탁(주)성화환경2022-12-31 03:562
5삼천포화력본부삼천포화력본부고상수시위탁(주)케이에스자원개발242000000위탁태경환경(함안)2022-04-05 03:522
6삼천포화력본부삼천포화력본부고상수시위탁(주)케이에스자원개발242000000위탁태경환경(함안)2022-04-30 03:532