Overview

Dataset statistics

Number of variables22
Number of observations3215
Missing cells2852
Missing cells (%)4.0%
Duplicate rows12
Duplicate rows (%)0.4%
Total size in memory565.3 KiB
Average record size in memory180.0 B

Variable types

Text11
DateTime1
Categorical6
Numeric4

Dataset

Description사업장폐기물 배출자 신고현황(신고일, 폐기물 종류, 배출량, 운반자, 운반량, 처리업소명, 처리방법, 처리량, 사업장 주소) 등을 제공합니다.
Author충청북도 옥천군
URLhttps://www.data.go.kr/data/15060333/fileData.do

Alerts

Dataset has 12 (0.4%) duplicate rowsDuplicates
생활계구분 is highly imbalanced (70.4%)Imbalance
처리구분 is highly imbalanced (54.6%)Imbalance
성상구분 is highly imbalanced (55.9%)Imbalance
사업장도로명우편번호 has 2852 (88.7%) missing valuesMissing
처리량(톤) is highly skewed (γ1 = 39.45106716)Skewed
배출량(톤) has 283 (8.8%) zerosZeros
운반량(톤) has 227 (7.1%) zerosZeros
처리량(톤) has 190 (5.9%) zerosZeros
월별배출량 has 2895 (90.0%) zerosZeros

Reproduction

Analysis started2023-12-12 02:22:34.725347
Analysis finished2023-12-12 02:22:36.517931
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct1051
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T11:22:36.729609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length7
Mean length7.0351477
Min length1

Characters and Unicode

Total characters22618
Distinct characters375
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

Unique588 ?
Unique (%)18.3%

Sample

1st row군북면사무소
2nd row해승건설주식회사
3rd row찬용건설(주)
4th row신화종합건설(주)
5th row옥천군산림조합
ValueCountFrequency (%)
관성건설(주 126
 
3.8%
개 77
 
2.3%
인 77
 
2.3%
대주건설(주 67
 
2.0%
주식회사 48
 
1.4%
한일토건(주 44
 
1.3%
대신이앤씨(주 43
 
1.3%
보문건설(주 31
 
0.9%
주)동산건설 31
 
0.9%
보람건설(주 30
 
0.9%
Other values (1065) 2745
82.7%
2023-12-12T11:22:37.182785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2485
 
11.0%
) 2386
 
10.5%
( 2374
 
10.5%
건 1641
 
7.3%
설 1525
 
6.7%
대 588
 
2.6%
455
 
2.0%
개 335
 
1.5%
산 334
 
1.5%
성 306
 
1.4%
Other values (365) 10189
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17273
76.4%
Close Punctuation 2386
 
10.5%
Open Punctuation 2374
 
10.5%
Space Separator 455
 
2.0%
Lowercase Letter 50
 
0.2%
Decimal Number 24
 
0.1%
Dash Punctuation 23
 
0.1%
Uppercase Letter 23
 
0.1%
Other Punctuation 7
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2485
 
14.4%
건 1641
 
9.5%
설 1525
 
8.8%
대 588
 
3.4%
개 335
 
1.9%
산 334
 
1.9%
성 306
 
1.8%
사 296
 
1.7%
한 293
 
1.7%
업 277
 
1.6%
Other values (339) 9193
53.2%
Uppercase Letter
ValueCountFrequency (%)
K 10
43.5%
C 4
 
17.4%
G 2
 
8.7%
I 2
 
8.7%
T 1
 
4.3%
L 1
 
4.3%
O 1
 
4.3%
P 1
 
4.3%
S 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
9 8
33.3%
0 4
16.7%
2 4
16.7%
5 3
 
12.5%
1 3
 
12.5%
4 2
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 10
20.0%
r 10
20.0%
a 10
20.0%
w 10
20.0%
t 10
20.0%
Close Punctuation
ValueCountFrequency (%)
) 2386
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2374
100.0%
Space Separator
ValueCountFrequency (%)
455
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17276
76.4%
Common 5269
 
23.3%
Latin 73
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2485
 
14.4%
건 1641
 
9.5%
설 1525
 
8.8%
대 588
 
3.4%
개 335
 
1.9%
산 334
 
1.9%
성 306
 
1.8%
사 296
 
1.7%
한 293
 
1.7%
업 277
 
1.6%
Other values (340) 9196
53.2%
Latin
ValueCountFrequency (%)
e 10
13.7%
r 10
13.7%
a 10
13.7%
w 10
13.7%
K 10
13.7%
t 10
13.7%
C 4
 
5.5%
G 2
 
2.7%
I 2
 
2.7%
T 1
 
1.4%
Other values (4) 4
 
5.5%
Common
ValueCountFrequency (%)
) 2386
45.3%
( 2374
45.1%
455
 
8.6%
- 23
 
0.4%
9 8
 
0.2%
. 7
 
0.1%
0 4
 
0.1%
2 4
 
0.1%
5 3
 
0.1%
1 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17273
76.4%
ASCII 5342
 
23.6%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2485
 
14.4%
건 1641
 
9.5%
설 1525
 
8.8%
대 588
 
3.4%
개 335
 
1.9%
산 334
 
1.9%
성 306
 
1.8%
사 296
 
1.7%
한 293
 
1.7%
업 277
 
1.6%
Other values (339) 9193
53.2%
ASCII
ValueCountFrequency (%)
) 2386
44.7%
( 2374
44.4%
455
 
8.5%
- 23
 
0.4%
e 10
 
0.2%
r 10
 
0.2%
a 10
 
0.2%
w 10
 
0.2%
K 10
 
0.2%
t 10
 
0.2%
Other values (15) 44
 
0.8%
None
ValueCountFrequency (%)
㈜ 3
100.0%

대표자
Text

Distinct1209
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T11:22:37.516573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.5539658
Min length1

Characters and Unicode

Total characters11426
Distinct characters273
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique718 ?
Unique (%)22.3%

Sample

1st row군북면장
2nd row박승규
3rd row이병진
4th row박철진
5th row권영건
ValueCountFrequency (%)
박찬홍 142
 
4.4%
두병록 60
 
1.9%
류복현 50
 
1.6%
박광훈 49
 
1.5%
대표이사 47
 
1.5%
박조성 36
 
1.1%
이형순 34
 
1.1%
정구영 33
 
1.0%
박충서 30
 
0.9%
박종학 29
 
0.9%
Other values (1207) 2702
84.1%
2023-12-12T11:22:38.033695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
박 545
 
4.8%
이 449
 
3.9%
김 441
 
3.9%
주 321
 
2.8%
영 310
 
2.7%
) 292
 
2.6%
( 289
 
2.5%
정 240
 
2.1%
건 236
 
2.1%
종 199
 
1.7%
Other values (263) 8104
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10775
94.3%
Close Punctuation 292
 
2.6%
Open Punctuation 289
 
2.5%
Space Separator 45
 
0.4%
Connector Punctuation 12
 
0.1%
Decimal Number 7
 
0.1%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 545
 
5.1%
이 449
 
4.2%
김 441
 
4.1%
주 321
 
3.0%
영 310
 
2.9%
정 240
 
2.2%
건 236
 
2.2%
종 199
 
1.8%
설 188
 
1.7%
수 185
 
1.7%
Other values (254) 7661
71.1%
Decimal Number
ValueCountFrequency (%)
1 4
57.1%
5 1
 
14.3%
0 1
 
14.3%
9 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 292
100.0%
Open Punctuation
ValueCountFrequency (%)
( 289
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10775
94.3%
Common 651
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 545
 
5.1%
이 449
 
4.2%
김 441
 
4.1%
주 321
 
3.0%
영 310
 
2.9%
정 240
 
2.2%
건 236
 
2.2%
종 199
 
1.8%
설 188
 
1.7%
수 185
 
1.7%
Other values (254) 7661
71.1%
Common
ValueCountFrequency (%)
) 292
44.9%
( 289
44.4%
45
 
6.9%
_ 12
 
1.8%
. 6
 
0.9%
1 4
 
0.6%
5 1
 
0.2%
0 1
 
0.2%
9 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10775
94.3%
ASCII 651
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
박 545
 
5.1%
이 449
 
4.2%
김 441
 
4.1%
주 321
 
3.0%
영 310
 
2.9%
정 240
 
2.2%
건 236
 
2.2%
종 199
 
1.8%
설 188
 
1.7%
수 185
 
1.7%
Other values (254) 7661
71.1%
ASCII
ValueCountFrequency (%)
) 292
44.9%
( 289
44.4%
45
 
6.9%
_ 12
 
1.8%
. 6
 
0.9%
1 4
 
0.6%
5 1
 
0.2%
0 1
 
0.2%
9 1
 
0.2%

신고일
Date

Distinct1199
Distinct (%)37.3%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum1996-11-13 00:00:00
Maximum2022-09-07 00:00:00
2023-12-12T11:22:38.211158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:22:38.385978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생활계구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2877 
배출시설계
 
194
생활계
 
143
비배출시설계
 
1

Length

Max length6
Median length1
Mean length1.3318818
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
2877
89.5%
배출시설계 194
 
6.0%
생활계 143
 
4.4%
비배출시설계 1
 
< 0.1%

Length

2023-12-12T11:22:38.570897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:38.676282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배출시설계 194
57.4%
생활계 143
42.3%
비배출시설계 1
 
0.3%

폐기물 종류
Text

Distinct107
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T11:22:38.974590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length5
Mean length8.037325
Min length1

Characters and Unicode

Total characters25840
Distinct characters180
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)0.9%

Sample

1st row폐합성수지류(폐염화비닐수지류는 제외한다)
2nd row그 밖의 폐목재류
3rd row임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)
4th row폐합성수지류(폐염화비닐수지류는 제외한다)
5th row임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)
ValueCountFrequency (%)
폐콘크리트 1643
32.5%
등을 161
 
3.2%
말한다 147
 
2.9%
등의 143
 
2.8%
하수준설토 143
 
2.8%
과정에서 140
 
2.8%
발생된 137
 
2.7%
나무뿌리 137
 
2.7%
가지 137
 
2.7%
산지개간 137
 
2.7%
Other values (155) 2123
42.1%
2023-12-12T11:22:39.460024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 2805
 
10.9%
2133
 
8.3%
리 1970
 
7.6%
트 1965
 
7.6%
크 1764
 
6.8%
콘 1764
 
6.8%
지 612
 
2.4%
류 583
 
2.3%
수 492
 
1.9%
목 479
 
1.9%
Other values (170) 11273
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22587
87.4%
Space Separator 2133
 
8.3%
Connector Punctuation 451
 
1.7%
Open Punctuation 280
 
1.1%
Close Punctuation 280
 
1.1%
Decimal Number 87
 
0.3%
Other Punctuation 22
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 2805
 
12.4%
리 1970
 
8.7%
트 1965
 
8.7%
크 1764
 
7.8%
콘 1764
 
7.8%
지 612
 
2.7%
류 583
 
2.6%
수 492
 
2.2%
목 479
 
2.1%
재 448
 
2.0%
Other values (162) 9705
43.0%
Decimal Number
ValueCountFrequency (%)
1 83
95.4%
2 2
 
2.3%
7 2
 
2.3%
Space Separator
ValueCountFrequency (%)
2133
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 451
100.0%
Open Punctuation
ValueCountFrequency (%)
( 280
100.0%
Close Punctuation
ValueCountFrequency (%)
) 280
100.0%
Other Punctuation
ValueCountFrequency (%)
. 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22587
87.4%
Common 3253
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 2805
 
12.4%
리 1970
 
8.7%
트 1965
 
8.7%
크 1764
 
7.8%
콘 1764
 
7.8%
지 612
 
2.7%
류 583
 
2.6%
수 492
 
2.2%
목 479
 
2.1%
재 448
 
2.0%
Other values (162) 9705
43.0%
Common
ValueCountFrequency (%)
2133
65.6%
_ 451
 
13.9%
( 280
 
8.6%
) 280
 
8.6%
1 83
 
2.6%
. 22
 
0.7%
2 2
 
0.1%
7 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22557
87.3%
ASCII 3253
 
12.6%
Compat Jamo 30
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 2805
 
12.4%
리 1970
 
8.7%
트 1965
 
8.7%
크 1764
 
7.8%
콘 1764
 
7.8%
지 612
 
2.7%
류 583
 
2.6%
수 492
 
2.2%
목 479
 
2.1%
재 448
 
2.0%
Other values (161) 9675
42.9%
ASCII
ValueCountFrequency (%)
2133
65.6%
_ 451
 
13.9%
( 280
 
8.6%
) 280
 
8.6%
1 83
 
2.6%
. 22
 
0.7%
2 2
 
0.1%
7 2
 
0.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 30
100.0%

배출량(톤)
Real number (ℝ)

ZEROS 

Distinct795
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261.80316
Minimum0
Maximum50000
Zeros283
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2023-12-12T11:22:39.634705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median40
Q3108.385
95-th percentile843.3
Maximum50000
Range50000
Interquartile range (IQR)93.385

Descriptive statistics

Standard deviation1559.1612
Coefficient of variation (CV)5.9554711
Kurtosis471.61136
Mean261.80316
Median Absolute Deviation (MAD)32
Skewness18.954636
Sum841697.17
Variance2430983.6
MonotonicityNot monotonic
2023-12-12T11:22:39.822172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 283
 
8.8%
10.0 105
 
3.3%
30.0 105
 
3.3%
15.0 102
 
3.2%
50.0 102
 
3.2%
20.0 98
 
3.0%
60.0 75
 
2.3%
100.0 68
 
2.1%
40.0 48
 
1.5%
150.0 47
 
1.5%
Other values (785) 2182
67.9%
ValueCountFrequency (%)
0.0 283
8.8%
0.045 1
 
< 0.1%
0.09 1
 
< 0.1%
0.168 1
 
< 0.1%
0.196 1
 
< 0.1%
0.24 1
 
< 0.1%
0.36 2
 
0.1%
0.43 1
 
< 0.1%
0.6 1
 
< 0.1%
0.8 1
 
< 0.1%
ValueCountFrequency (%)
50000.0 1
 
< 0.1%
36000.0 1
 
< 0.1%
26000.0 1
 
< 0.1%
23000.0 1
 
< 0.1%
22982.0 1
 
< 0.1%
20000.0 1
 
< 0.1%
11500.0 1
 
< 0.1%
11000.0 1
 
< 0.1%
10000.0 6
0.2%
9616.72 1
 
< 0.1%

운반자
Text

Distinct380
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T11:22:40.147385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length15
Mean length5.674028
Min length1

Characters and Unicode

Total characters18242
Distinct characters241
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)6.8%

Sample

1st row청지환경(주)
2nd row(주)중원환경산업
3rd row참웰빙임업
4th row청지환경(주)
5th row참웰빙임업
ValueCountFrequency (%)
관성건설(주 322
 
11.2%
자가처리 255
 
8.9%
대금환경개발(주 171
 
5.9%
국보환경(주 149
 
5.2%
관성건설 146
 
5.1%
성원산업(주 122
 
4.2%
국보환경 92
 
3.2%
대주건설(주 90
 
3.1%
참웰빙임업 80
 
2.8%
이레환경(주 75
 
2.6%
Other values (367) 1373
47.8%
2023-12-12T11:22:40.654201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1873
 
10.3%
) 1828
 
10.0%
( 1827
 
10.0%
경 1173
 
6.4%
환 1134
 
6.2%
성 724
 
4.0%
설 603
 
3.3%
건 599
 
3.3%
대 491
 
2.7%
관 480
 
2.6%
Other values (231) 7510
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14157
77.6%
Close Punctuation 1830
 
10.0%
Open Punctuation 1827
 
10.0%
Space Separator 359
 
2.0%
Uppercase Letter 44
 
0.2%
Other Punctuation 8
 
< 0.1%
Connector Punctuation 7
 
< 0.1%
Decimal Number 6
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1873
 
13.2%
경 1173
 
8.3%
환 1134
 
8.0%
성 724
 
5.1%
설 603
 
4.3%
건 599
 
4.2%
대 491
 
3.5%
관 480
 
3.4%
업 443
 
3.1%
산 354
 
2.5%
Other values (217) 6283
44.4%
Uppercase Letter
ValueCountFrequency (%)
R 22
50.0%
G 16
36.4%
F 4
 
9.1%
S 2
 
4.5%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
9 2
33.3%
3 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 1828
99.9%
] 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1827
100.0%
Space Separator
ValueCountFrequency (%)
359
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14161
77.6%
Common 4037
 
22.1%
Latin 44
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1873
 
13.2%
경 1173
 
8.3%
환 1134
 
8.0%
성 724
 
5.1%
설 603
 
4.3%
건 599
 
4.2%
대 491
 
3.5%
관 480
 
3.4%
업 443
 
3.1%
산 354
 
2.5%
Other values (218) 6287
44.4%
Common
ValueCountFrequency (%)
) 1828
45.3%
( 1827
45.3%
359
 
8.9%
. 8
 
0.2%
_ 7
 
0.2%
0 3
 
0.1%
] 2
 
< 0.1%
9 2
 
< 0.1%
3 1
 
< 0.1%
Latin
ValueCountFrequency (%)
R 22
50.0%
G 16
36.4%
F 4
 
9.1%
S 2
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14156
77.6%
ASCII 4081
 
22.4%
None 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1873
 
13.2%
경 1173
 
8.3%
환 1134
 
8.0%
성 724
 
5.1%
설 603
 
4.3%
건 599
 
4.2%
대 491
 
3.5%
관 480
 
3.4%
업 443
 
3.1%
산 354
 
2.5%
Other values (216) 6282
44.4%
ASCII
ValueCountFrequency (%)
) 1828
44.8%
( 1827
44.8%
359
 
8.8%
R 22
 
0.5%
G 16
 
0.4%
. 8
 
0.2%
_ 7
 
0.2%
F 4
 
0.1%
0 3
 
0.1%
] 2
 
< 0.1%
Other values (3) 5
 
0.1%
None
ValueCountFrequency (%)
㈜ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1
100.0%

운반량(톤)
Real number (ℝ)

ZEROS 

Distinct787
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243.9004
Minimum0
Maximum36000
Zeros227
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2023-12-12T11:22:41.123504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median42
Q3109.9
95-th percentile800.3
Maximum36000
Range36000
Interquartile range (IQR)94.9

Descriptive statistics

Standard deviation1281.7906
Coefficient of variation (CV)5.2553856
Kurtosis329.43797
Mean243.9004
Median Absolute Deviation (MAD)32
Skewness15.879008
Sum784139.77
Variance1642987.2
MonotonicityNot monotonic
2023-12-12T11:22:41.304952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 227
 
7.1%
30.0 112
 
3.5%
15.0 107
 
3.3%
20.0 106
 
3.3%
10.0 106
 
3.3%
50.0 100
 
3.1%
60.0 75
 
2.3%
100.0 69
 
2.1%
40.0 56
 
1.7%
150.0 49
 
1.5%
Other values (777) 2208
68.7%
ValueCountFrequency (%)
0.0 227
7.1%
0.045 1
 
< 0.1%
0.09 1
 
< 0.1%
0.196 1
 
< 0.1%
0.24 1
 
< 0.1%
0.36 1
 
< 0.1%
0.43 1
 
< 0.1%
0.6 1
 
< 0.1%
0.9 1
 
< 0.1%
1.0 9
 
0.3%
ValueCountFrequency (%)
36000.0 1
 
< 0.1%
26000.0 1
 
< 0.1%
23000.0 1
 
< 0.1%
22982.0 1
 
< 0.1%
20000.0 1
 
< 0.1%
11500.0 1
 
< 0.1%
11000.0 1
 
< 0.1%
10000.0 5
0.2%
9616.72 1
 
< 0.1%
9550.0 1
 
< 0.1%

처리구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
위탁
2765 
자가
 
273
 
177

Length

Max length2
Median length2
Mean length1.9449456
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁 2765
86.0%
자가 273
 
8.5%
177
 
5.5%

Length

2023-12-12T11:22:41.472909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:41.601385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 2765
91.0%
자가 273
 
9.0%

처리업소명
Text

Distinct397
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T11:22:41.872258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.1710731
Min length1

Characters and Unicode

Total characters19840
Distinct characters253
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)7.0%

Sample

1st row(주)클렌코
2nd row(주)중원환경산업
3rd row참웰빙임업
4th row(주)클렌코
5th row참웰빙임업
ValueCountFrequency (%)
대금환경개발(주 499
 
16.4%
자가 262
 
8.6%
국보환경(주 242
 
7.9%
대금환경개발 179
 
5.9%
대금환경(주 168
 
5.5%
국보환경 126
 
4.1%
참웰빙임업 81
 
2.7%
유)천만금 73
 
2.4%
대금환경 61
 
2.0%
유)대한환경 57
 
1.9%
Other values (388) 1298
42.6%
2023-12-12T11:22:42.366134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 1930
 
9.7%
) 1930
 
9.7%
주 1846
 
9.3%
경 1772
 
8.9%
환 1752
 
8.8%
대 1098
 
5.5%
금 1052
 
5.3%
개 916
 
4.6%
발 909
 
4.6%
보 480
 
2.4%
Other values (243) 6155
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15711
79.2%
Open Punctuation 1930
 
9.7%
Close Punctuation 1930
 
9.7%
Space Separator 192
 
1.0%
Uppercase Letter 48
 
0.2%
Other Symbol 11
 
0.1%
Decimal Number 8
 
< 0.1%
Other Punctuation 5
 
< 0.1%
Connector Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1846
 
11.7%
경 1772
 
11.3%
환 1752
 
11.2%
대 1098
 
7.0%
금 1052
 
6.7%
개 916
 
5.8%
발 909
 
5.8%
보 480
 
3.1%
국 386
 
2.5%
업 373
 
2.4%
Other values (225) 5127
32.6%
Uppercase Letter
ValueCountFrequency (%)
R 22
45.8%
G 16
33.3%
F 4
 
8.3%
S 3
 
6.2%
K 1
 
2.1%
M 1
 
2.1%
D 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
0 4
50.0%
9 1
 
12.5%
2 1
 
12.5%
5 1
 
12.5%
3 1
 
12.5%
Open Punctuation
ValueCountFrequency (%)
( 1930
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1930
100.0%
Space Separator
ValueCountFrequency (%)
192
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15722
79.2%
Common 4070
 
20.5%
Latin 48
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1846
 
11.7%
경 1772
 
11.3%
환 1752
 
11.1%
대 1098
 
7.0%
금 1052
 
6.7%
개 916
 
5.8%
발 909
 
5.8%
보 480
 
3.1%
국 386
 
2.5%
업 373
 
2.4%
Other values (226) 5138
32.7%
Common
ValueCountFrequency (%)
( 1930
47.4%
) 1930
47.4%
192
 
4.7%
. 5
 
0.1%
_ 5
 
0.1%
0 4
 
0.1%
9 1
 
< 0.1%
2 1
 
< 0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
Latin
ValueCountFrequency (%)
R 22
45.8%
G 16
33.3%
F 4
 
8.3%
S 3
 
6.2%
K 1
 
2.1%
M 1
 
2.1%
D 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15710
79.2%
ASCII 4118
 
20.8%
None 11
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 1930
46.9%
) 1930
46.9%
192
 
4.7%
R 22
 
0.5%
G 16
 
0.4%
. 5
 
0.1%
_ 5
 
0.1%
0 4
 
0.1%
F 4
 
0.1%
S 3
 
0.1%
Other values (7) 7
 
0.2%
Hangul
ValueCountFrequency (%)
주 1846
 
11.8%
경 1772
 
11.3%
환 1752
 
11.2%
대 1098
 
7.0%
금 1052
 
6.7%
개 916
 
5.8%
발 909
 
5.8%
보 480
 
3.1%
국 386
 
2.5%
업 373
 
2.4%
Other values (224) 5126
32.6%
None
ValueCountFrequency (%)
㈜ 11
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅈ 1
100.0%

처리방법
Categorical

Distinct33
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
재활용(파쇄.분쇄)
854 
기타재활용
795 
재활용(기타)
436 
180 
파쇄.절단
164 
Other values (28)
786 

Length

Max length19
Median length17
Mean length8.0902022
Min length1

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row중간처분(일반소각)
2nd row재활용(중간가공폐기물 제조)
3rd row재활용(중간가공폐기물 제조)
4th row중간처분(일반소각)
5th row재활용(중간가공폐기물 제조)

Common Values

ValueCountFrequency (%)
재활용(파쇄.분쇄) 854
26.6%
기타재활용 795
24.7%
재활용(기타) 436
13.6%
180
 
5.6%
파쇄.절단 164
 
5.1%
중간처분(일반소각) 134
 
4.2%
재활용(중간가공폐기물 제조) 118
 
3.7%
재활용(농업생산활동에 사용) 94
 
2.9%
중간처분(파쇄.분쇄) 63
 
2.0%
재활용(원료가공) 58
 
1.8%
Other values (23) 319
 
9.9%

Length

2023-12-12T11:22:42.548160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재활용(파쇄.분쇄 854
24.9%
기타재활용 795
23.2%
재활용(기타 436
12.7%
제조 177
 
5.2%
파쇄.절단 164
 
4.8%
사용 139
 
4.1%
중간처분(일반소각 134
 
3.9%
재활용(중간가공폐기물 118
 
3.4%
재활용(농업생산활동에 94
 
2.7%
중간처분(파쇄.분쇄 63
 
1.8%
Other values (27) 457
13.3%

처리량(톤)
Real number (ℝ)

SKEWED  ZEROS 

Distinct787
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean281.72497
Minimum0
Maximum129000
Zeros190
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2023-12-12T11:22:42.685458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median43
Q3110
95-th percentile800
Maximum129000
Range129000
Interquartile range (IQR)95

Descriptive statistics

Standard deviation2604.6507
Coefficient of variation (CV)9.2453667
Kurtosis1875.5776
Mean281.72497
Median Absolute Deviation (MAD)33
Skewness39.451067
Sum905745.79
Variance6784205.2
MonotonicityNot monotonic
2023-12-12T11:22:42.858766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 190
 
5.9%
30.0 114
 
3.5%
15.0 109
 
3.4%
10.0 108
 
3.4%
20.0 107
 
3.3%
50.0 105
 
3.3%
60.0 74
 
2.3%
100.0 69
 
2.1%
40.0 56
 
1.7%
150.0 50
 
1.6%
Other values (777) 2233
69.5%
ValueCountFrequency (%)
0.0 190
5.9%
0.045 1
 
< 0.1%
0.09 1
 
< 0.1%
0.168 1
 
< 0.1%
0.196 1
 
< 0.1%
0.24 1
 
< 0.1%
0.36 2
 
0.1%
0.43 1
 
< 0.1%
0.6 1
 
< 0.1%
0.9 1
 
< 0.1%
ValueCountFrequency (%)
129000.0 1
 
< 0.1%
36000.0 1
 
< 0.1%
26000.0 1
 
< 0.1%
23000.0 1
 
< 0.1%
22982.0 1
 
< 0.1%
20000.0 1
 
< 0.1%
11500.0 1
 
< 0.1%
11000.0 1
 
< 0.1%
10000.0 5
0.2%
9616.72 1
 
< 0.1%

사업장도로명주소
Text

Distinct679
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T11:22:43.204556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length1
Mean length12.323173
Min length1

Characters and Unicode

Total characters39619
Distinct characters315
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique419 ?
Unique (%)13.0%

Sample

1st row충청북도 옥천군 군북면 이백길 8
2nd row충청북도 옥천군 옥천읍 삼금로 27-2_ 2층
3rd row충청북도 옥천군 옥천읍 옥천동이로 321
4th row충청남도 당진시 천변1길 224-14 (주)신화건설 5층 (대덕동)
5th row충청북도 옥천군 옥천읍 옥천로 2030_ 산림조합
ValueCountFrequency (%)
충청북도 1492
 
17.4%
옥천군 1283
 
15.0%
옥천읍 868
 
10.1%
가화길 134
 
1.6%
21 129
 
1.5%
동이면 117
 
1.4%
청주시 116
 
1.4%
이원면 95
 
1.1%
중앙로 93
 
1.1%
청산면 89
 
1.0%
Other values (1125) 4144
48.4%
2023-12-12T11:22:43.738741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8902
22.5%
천 2458
 
6.2%
옥 2374
 
6.0%
청 1788
 
4.5%
도 1576
 
4.0%
북 1563
 
3.9%
충 1523
 
3.8%
군 1474
 
3.7%
1 1213
 
3.1%
로 1029
 
2.6%
Other values (305) 15719
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23998
60.6%
Space Separator 8902
 
22.5%
Decimal Number 5104
 
12.9%
Open Punctuation 494
 
1.2%
Close Punctuation 492
 
1.2%
Dash Punctuation 457
 
1.2%
Connector Punctuation 127
 
0.3%
Uppercase Letter 21
 
0.1%
Other Punctuation 15
 
< 0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 2458
 
10.2%
옥 2374
 
9.9%
청 1788
 
7.5%
도 1576
 
6.6%
북 1563
 
6.5%
충 1523
 
6.3%
군 1474
 
6.1%
로 1029
 
4.3%
읍 927
 
3.9%
길 815
 
3.4%
Other values (279) 8471
35.3%
Decimal Number
ValueCountFrequency (%)
1 1213
23.8%
2 772
15.1%
3 477
 
9.3%
4 443
 
8.7%
5 416
 
8.2%
9 384
 
7.5%
6 377
 
7.4%
7 372
 
7.3%
0 357
 
7.0%
8 293
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
D 6
28.6%
Y 5
23.8%
K 5
23.8%
C 2
 
9.5%
I 2
 
9.5%
B 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
m 5
55.6%
t 2
 
22.2%
k 2
 
22.2%
Other Punctuation
ValueCountFrequency (%)
. 13
86.7%
/ 2
 
13.3%
Space Separator
ValueCountFrequency (%)
8902
100.0%
Open Punctuation
ValueCountFrequency (%)
( 494
100.0%
Close Punctuation
ValueCountFrequency (%)
) 492
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 457
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23998
60.6%
Common 15591
39.4%
Latin 30
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 2458
 
10.2%
옥 2374
 
9.9%
청 1788
 
7.5%
도 1576
 
6.6%
북 1563
 
6.5%
충 1523
 
6.3%
군 1474
 
6.1%
로 1029
 
4.3%
읍 927
 
3.9%
길 815
 
3.4%
Other values (279) 8471
35.3%
Common
ValueCountFrequency (%)
8902
57.1%
1 1213
 
7.8%
2 772
 
5.0%
( 494
 
3.2%
) 492
 
3.2%
3 477
 
3.1%
- 457
 
2.9%
4 443
 
2.8%
5 416
 
2.7%
9 384
 
2.5%
Other values (7) 1541
 
9.9%
Latin
ValueCountFrequency (%)
D 6
20.0%
m 5
16.7%
Y 5
16.7%
K 5
16.7%
t 2
 
6.7%
C 2
 
6.7%
I 2
 
6.7%
k 2
 
6.7%
B 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23998
60.6%
ASCII 15621
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8902
57.0%
1 1213
 
7.8%
2 772
 
4.9%
( 494
 
3.2%
) 492
 
3.1%
3 477
 
3.1%
- 457
 
2.9%
4 443
 
2.8%
5 416
 
2.7%
9 384
 
2.5%
Other values (16) 1571
 
10.1%
Hangul
ValueCountFrequency (%)
천 2458
 
10.2%
옥 2374
 
9.9%
청 1788
 
7.5%
도 1576
 
6.6%
북 1563
 
6.5%
충 1523
 
6.3%
군 1474
 
6.1%
로 1029
 
4.3%
읍 927
 
3.9%
길 815
 
3.4%
Other values (279) 8471
35.3%

사업장도로명우편번호
Text

MISSING 

Distinct124
Distinct (%)34.2%
Missing2852
Missing (%)88.7%
Memory size25.2 KiB
2023-12-12T11:22:44.039399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.3939394
Min length1

Characters and Unicode

Total characters1958
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)16.5%

Sample

1st row'29000
2nd row'29038
3rd row'29043
4th row'31775
5th row'29054
ValueCountFrequency (%)
373805 40
 
11.0%
29014 18
 
5.0%
29032 15
 
4.1%
29039 14
 
3.9%
373802 13
 
3.6%
29061 13
 
3.6%
373809 12
 
3.3%
10
 
2.8%
29030 10
 
2.8%
29003 9
 
2.5%
Other values (93) 209
57.6%
2023-12-12T11:22:44.456861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 380
19.4%
0 319
16.3%
2 283
14.5%
9 223
11.4%
8 171
8.7%
7 168
8.6%
5 106
 
5.4%
1 95
 
4.9%
4 95
 
4.9%
' 72
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1886
96.3%
Other Punctuation 72
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 380
20.1%
0 319
16.9%
2 283
15.0%
9 223
11.8%
8 171
9.1%
7 168
8.9%
5 106
 
5.6%
1 95
 
5.0%
4 95
 
5.0%
6 46
 
2.4%
Other Punctuation
ValueCountFrequency (%)
' 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1958
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 380
19.4%
0 319
16.3%
2 283
14.5%
9 223
11.4%
8 171
8.7%
7 168
8.6%
5 106
 
5.4%
1 95
 
4.9%
4 95
 
4.9%
' 72
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1958
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 380
19.4%
0 319
16.3%
2 283
14.5%
9 223
11.4%
8 171
8.7%
7 168
8.6%
5 106
 
5.4%
1 95
 
4.9%
4 95
 
4.9%
' 72
 
3.7%

사업장지번주소
Text

Distinct1451
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T11:22:44.754525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length56
Mean length23.813375
Min length1

Characters and Unicode

Total characters76560
Distinct characters350
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique957 ?
Unique (%)29.8%

Sample

1st row충청북도 옥천군 군북면 이백리 346-42 일원
2nd row충청북도 옥천군 옥천읍 금구리 168-1
3rd row충청북도 옥천군 옥천읍 구일리 771
4th row충청남도 당진시 대덕동 1689 (주)신화건설
5th row충청북도 옥천군 옥천읍 가풍리 273-2 산림조합
ValueCountFrequency (%)
충청북도 2984
18.7%
옥천군 2735
 
17.1%
옥천읍 1477
 
9.2%
금구리 454
 
2.8%
이원면 299
 
1.9%
삼양리 261
 
1.6%
동이면 238
 
1.5%
청산면 181
 
1.1%
군서면 175
 
1.1%
군북면 161
 
1.0%
Other values (1876) 7019
43.9%
2023-12-12T11:22:45.355056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16091
21.0%
천 4410
 
5.8%
옥 4310
 
5.6%
청 3598
 
4.7%
도 3248
 
4.2%
군 3189
 
4.2%
북 3187
 
4.2%
충 3028
 
4.0%
리 3012
 
3.9%
지 2199
 
2.9%
Other values (340) 30288
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50182
65.5%
Space Separator 16091
 
21.0%
Decimal Number 8196
 
10.7%
Dash Punctuation 1530
 
2.0%
Open Punctuation 231
 
0.3%
Close Punctuation 228
 
0.3%
Connector Punctuation 29
 
< 0.1%
Uppercase Letter 29
 
< 0.1%
Other Punctuation 26
 
< 0.1%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 4410
 
8.8%
옥 4310
 
8.6%
청 3598
 
7.2%
도 3248
 
6.5%
군 3189
 
6.4%
북 3187
 
6.4%
충 3028
 
6.0%
리 3012
 
6.0%
지 2199
 
4.4%
번 2008
 
4.0%
Other values (308) 17993
35.9%
Decimal Number
ValueCountFrequency (%)
1 1764
21.5%
2 1526
18.6%
3 847
10.3%
4 735
9.0%
9 644
 
7.9%
5 599
 
7.3%
6 596
 
7.3%
0 559
 
6.8%
7 514
 
6.3%
8 412
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
D 6
20.7%
A 5
17.2%
K 5
17.2%
Y 5
17.2%
B 2
 
6.9%
C 2
 
6.9%
I 2
 
6.9%
X 1
 
3.4%
O 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
m 5
38.5%
t 3
23.1%
k 3
23.1%
w 2
 
15.4%
Other Punctuation
ValueCountFrequency (%)
. 16
61.5%
/ 7
26.9%
@ 3
 
11.5%
Space Separator
ValueCountFrequency (%)
16091
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1530
100.0%
Open Punctuation
ValueCountFrequency (%)
( 231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 228
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50182
65.5%
Common 26336
34.4%
Latin 42
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 4410
 
8.8%
옥 4310
 
8.6%
청 3598
 
7.2%
도 3248
 
6.5%
군 3189
 
6.4%
북 3187
 
6.4%
충 3028
 
6.0%
리 3012
 
6.0%
지 2199
 
4.4%
번 2008
 
4.0%
Other values (308) 17993
35.9%
Common
ValueCountFrequency (%)
16091
61.1%
1 1764
 
6.7%
- 1530
 
5.8%
2 1526
 
5.8%
3 847
 
3.2%
4 735
 
2.8%
9 644
 
2.4%
5 599
 
2.3%
6 596
 
2.3%
0 559
 
2.1%
Other values (9) 1445
 
5.5%
Latin
ValueCountFrequency (%)
D 6
14.3%
A 5
11.9%
K 5
11.9%
Y 5
11.9%
m 5
11.9%
t 3
7.1%
k 3
7.1%
B 2
 
4.8%
C 2
 
4.8%
I 2
 
4.8%
Other values (3) 4
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50182
65.5%
ASCII 26378
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16091
61.0%
1 1764
 
6.7%
- 1530
 
5.8%
2 1526
 
5.8%
3 847
 
3.2%
4 735
 
2.8%
9 644
 
2.4%
5 599
 
2.3%
6 596
 
2.3%
0 559
 
2.1%
Other values (22) 1487
 
5.6%
Hangul
ValueCountFrequency (%)
천 4410
 
8.8%
옥 4310
 
8.6%
청 3598
 
7.2%
도 3248
 
6.5%
군 3189
 
6.4%
북 3187
 
6.4%
충 3028
 
6.0%
리 3012
 
6.0%
지 2199
 
4.4%
번 2008
 
4.0%
Other values (308) 17993
35.9%

업무구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
사업장폐기물배출자(2-2호)
2847 
사업장폐기물배출자(2호)
368 

Length

Max length15
Median length15
Mean length14.771073
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사업장폐기물배출자(2-2호)
2nd row사업장폐기물배출자(2-2호)
3rd row사업장폐기물배출자(2-2호)
4th row사업장폐기물배출자(2-2호)
5th row사업장폐기물배출자(2-2호)

Common Values

ValueCountFrequency (%)
사업장폐기물배출자(2-2호) 2847
88.6%
사업장폐기물배출자(2호) 368
 
11.4%

Length

2023-12-12T11:22:45.532636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:45.663199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장폐기물배출자(2-2호 2847
88.6%
사업장폐기물배출자(2호 368
 
11.4%

월별배출량
Real number (ℝ)

ZEROS 

Distinct123
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3865788
Minimum0
Maximum619
Zeros2895
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2023-12-12T11:22:45.797713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8.312
Maximum619
Range619
Interquartile range (IQR)0

Descriptive statistics

Standard deviation27.518455
Coefficient of variation (CV)8.1257387
Kurtosis278.64286
Mean3.3865788
Median Absolute Deviation (MAD)0
Skewness15.114732
Sum10887.851
Variance757.26535
MonotonicityNot monotonic
2023-12-12T11:22:45.983220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2895
90.0%
5.0 31
 
1.0%
10.0 27
 
0.8%
3.0 12
 
0.4%
1.0 12
 
0.4%
2.0 11
 
0.3%
4.0 10
 
0.3%
15.0 8
 
0.2%
20.0 8
 
0.2%
12.5 6
 
0.2%
Other values (113) 195
 
6.1%
ValueCountFrequency (%)
0.0 2895
90.0%
0.014 1
 
< 0.1%
0.02 2
 
0.1%
0.08 1
 
< 0.1%
0.084 1
 
< 0.1%
0.1 4
 
0.1%
0.17 2
 
0.1%
0.2 1
 
< 0.1%
0.24 1
 
< 0.1%
0.25 3
 
0.1%
ValueCountFrequency (%)
619.0 1
< 0.1%
600.0 2
0.1%
500.0 1
< 0.1%
360.0 1
< 0.1%
333.0 1
< 0.1%
300.0 1
< 0.1%
282.0 1
< 0.1%
250.0 1
< 0.1%
242.89 1
< 0.1%
208.3 1
< 0.1%

성상구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2373 
고상
820 
기타
 
13
액상
 
9

Length

Max length2
Median length1
Mean length1.2618974
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2373
73.8%
고상 820
 
25.5%
기타 13
 
0.4%
액상 9
 
0.3%

Length

2023-12-12T11:22:46.188835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:22:46.331704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고상 820
97.4%
기타 13
 
1.5%
액상 9
 
1.1%

폐기물자가처리방법
Categorical

Distinct33
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
재활용(파쇄.분쇄)
854 
기타재활용
795 
재활용(기타)
436 
180 
파쇄.절단
164 
Other values (28)
786 

Length

Max length19
Median length17
Mean length8.0902022
Min length1

Unique

Unique5 ?
Unique (%)0.2%

Sample

1st row중간처분(일반소각)
2nd row재활용(중간가공폐기물 제조)
3rd row재활용(중간가공폐기물 제조)
4th row중간처분(일반소각)
5th row재활용(중간가공폐기물 제조)

Common Values

ValueCountFrequency (%)
재활용(파쇄.분쇄) 854
26.6%
기타재활용 795
24.7%
재활용(기타) 436
13.6%
180
 
5.6%
파쇄.절단 164
 
5.1%
중간처분(일반소각) 134
 
4.2%
재활용(중간가공폐기물 제조) 118
 
3.7%
재활용(농업생산활동에 사용) 94
 
2.9%
중간처분(파쇄.분쇄) 63
 
2.0%
재활용(원료가공) 58
 
1.8%
Other values (23) 319
 
9.9%

Length

2023-12-12T11:22:46.482340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재활용(파쇄.분쇄 854
24.9%
기타재활용 795
23.2%
재활용(기타 436
12.7%
제조 177
 
5.2%
파쇄.절단 164
 
4.8%
사용 139
 
4.1%
중간처분(일반소각 134
 
3.9%
재활용(중간가공폐기물 118
 
3.4%
재활용(농업생산활동에 94
 
2.7%
중간처분(파쇄.분쇄 63
 
1.8%
Other values (27) 457
13.3%

공사시작일자
Text

Distinct1369
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T11:22:46.829181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length8.577916
Min length1

Characters and Unicode

Total characters27578
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique781 ?
Unique (%)24.3%

Sample

1st row2022-09-07
2nd row2022-06-15
3rd row2022-08-26
4th row2022-08-22
5th row2022-06-27
ValueCountFrequency (%)
2001-03-02 39
 
1.4%
2004-12-23 20
 
0.7%
2002-03-16 19
 
0.7%
1997-12-15 15
 
0.6%
2002-03-02 12
 
0.4%
2002-07-01 11
 
0.4%
2004-04-08 11
 
0.4%
2004-06-28 11
 
0.4%
2001-11-26 10
 
0.4%
2004-06-07 10
 
0.4%
Other values (1358) 2549
94.2%
2023-12-12T11:22:47.363190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8415
30.5%
- 5414
19.6%
2 4852
17.6%
1 3291
 
11.9%
3 1147
 
4.2%
4 1079
 
3.9%
5 604
 
2.2%
9 571
 
2.1%
6 570
 
2.1%
8 565
 
2.0%
Other values (2) 1070
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21656
78.5%
Dash Punctuation 5414
 
19.6%
Space Separator 508
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8415
38.9%
2 4852
22.4%
1 3291
 
15.2%
3 1147
 
5.3%
4 1079
 
5.0%
5 604
 
2.8%
9 571
 
2.6%
6 570
 
2.6%
8 565
 
2.6%
7 562
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 5414
100.0%
Space Separator
ValueCountFrequency (%)
508
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27578
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8415
30.5%
- 5414
19.6%
2 4852
17.6%
1 3291
 
11.9%
3 1147
 
4.2%
4 1079
 
3.9%
5 604
 
2.2%
9 571
 
2.1%
6 570
 
2.1%
8 565
 
2.0%
Other values (2) 1070
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8415
30.5%
- 5414
19.6%
2 4852
17.6%
1 3291
 
11.9%
3 1147
 
4.2%
4 1079
 
3.9%
5 604
 
2.2%
9 571
 
2.1%
6 570
 
2.1%
8 565
 
2.0%
Other values (2) 1070
 
3.9%

공사종료일자
Text

Distinct1315
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T11:22:47.777992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length8.5975117
Min length1

Characters and Unicode

Total characters27641
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique779 ?
Unique (%)24.2%

Sample

1st row2022-12-31
2nd row2022-10-12
3rd row2022-09-10
4th row2022-09-30
5th row2022-08-25
ValueCountFrequency (%)
2002-12-31 44
 
1.6%
2001-12-31 39
 
1.4%
2000-12-31 30
 
1.1%
2004-12-31 24
 
0.9%
2001-04-30 22
 
0.8%
2004-05-27 16
 
0.6%
2004-10-25 16
 
0.6%
2002-06-30 15
 
0.6%
2003-11-29 14
 
0.5%
2003-12-31 14
 
0.5%
Other values (1304) 2480
91.4%
2023-12-12T11:22:48.353082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8212
29.7%
- 5428
19.6%
2 4949
17.9%
1 3598
13.0%
3 1422
 
5.1%
4 1010
 
3.7%
5 679
 
2.5%
6 512
 
1.9%
7 502
 
1.8%
501
 
1.8%
Other values (2) 828
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21712
78.5%
Dash Punctuation 5428
 
19.6%
Space Separator 501
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8212
37.8%
2 4949
22.8%
1 3598
16.6%
3 1422
 
6.5%
4 1010
 
4.7%
5 679
 
3.1%
6 512
 
2.4%
7 502
 
2.3%
8 437
 
2.0%
9 391
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 5428
100.0%
Space Separator
ValueCountFrequency (%)
501
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27641
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8212
29.7%
- 5428
19.6%
2 4949
17.9%
1 3598
13.0%
3 1422
 
5.1%
4 1010
 
3.7%
5 679
 
2.5%
6 512
 
1.9%
7 502
 
1.8%
501
 
1.8%
Other values (2) 828
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27641
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8212
29.7%
- 5428
19.6%
2 4949
17.9%
1 3598
13.0%
3 1422
 
5.1%
4 1010
 
3.7%
5 679
 
2.5%
6 512
 
1.9%
7 502
 
1.8%
501
 
1.8%
Other values (2) 828
 
3.0%

제조공정
Text

Distinct109
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T11:22:48.556396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length1
Mean length3.3695179
Min length1

Characters and Unicode

Total characters10833
Distinct characters265
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

Unique43 ?
Unique (%)1.3%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
231
 
18.5%
→ 80
 
6.4%
및 36
 
2.9%
조립 31
 
2.5%
출하 31
 
2.5%
가공 30
 
2.4%
포장 23
 
1.8%
운송 19
 
1.5%
도축 18
 
1.4%
출고 17
 
1.4%
Other values (232) 732
58.7%
2023-12-12T11:22:48.923661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3935
36.3%
- 703
 
6.5%
→ 694
 
6.4%
> 258
 
2.4%
출 188
 
1.7%
장 167
 
1.5%
고 147
 
1.4%
입 141
 
1.3%
조 135
 
1.2%
원 123
 
1.1%
Other values (255) 4342
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4953
45.7%
Space Separator 3935
36.3%
Math Symbol 955
 
8.8%
Dash Punctuation 703
 
6.5%
Other Punctuation 85
 
0.8%
Lowercase Letter 66
 
0.6%
Close Punctuation 48
 
0.4%
Open Punctuation 38
 
0.4%
Uppercase Letter 34
 
0.3%
Decimal Number 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
출 188
 
3.8%
장 167
 
3.4%
고 147
 
3.0%
입 141
 
2.8%
조 135
 
2.7%
원 123
 
2.5%
료 121
 
2.4%
포 116
 
2.3%
하 110
 
2.2%
형 97
 
2.0%
Other values (227) 3608
72.8%
Uppercase Letter
ValueCountFrequency (%)
F 11
32.4%
T 4
 
11.8%
I 4
 
11.8%
O 4
 
11.8%
G 4
 
11.8%
N 4
 
11.8%
P 1
 
2.9%
S 1
 
2.9%
E 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
n 11
16.7%
x 11
16.7%
u 11
16.7%
i 11
16.7%
g 11
16.7%
l 11
16.7%
Math Symbol
ValueCountFrequency (%)
→ 694
72.7%
> 258
 
27.0%
↑ 3
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 73
85.9%
: 9
 
10.6%
/ 3
 
3.5%
Decimal Number
ValueCountFrequency (%)
2 7
43.8%
1 7
43.8%
3 2
 
12.5%
Space Separator
ValueCountFrequency (%)
3935
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 703
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5780
53.4%
Hangul 4953
45.7%
Latin 100
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
출 188
 
3.8%
장 167
 
3.4%
고 147
 
3.0%
입 141
 
2.8%
조 135
 
2.7%
원 123
 
2.5%
료 121
 
2.4%
포 116
 
2.3%
하 110
 
2.2%
형 97
 
2.0%
Other values (227) 3608
72.8%
Latin
ValueCountFrequency (%)
n 11
11.0%
x 11
11.0%
u 11
11.0%
i 11
11.0%
g 11
11.0%
F 11
11.0%
l 11
11.0%
T 4
 
4.0%
I 4
 
4.0%
O 4
 
4.0%
Other values (5) 11
11.0%
Common
ValueCountFrequency (%)
3935
68.1%
- 703
 
12.2%
→ 694
 
12.0%
> 258
 
4.5%
. 73
 
1.3%
) 48
 
0.8%
( 38
 
0.7%
: 9
 
0.2%
2 7
 
0.1%
1 7
 
0.1%
Other values (3) 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5183
47.8%
Hangul 4953
45.7%
Arrows 697
 
6.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3935
75.9%
- 703
 
13.6%
> 258
 
5.0%
. 73
 
1.4%
) 48
 
0.9%
( 38
 
0.7%
n 11
 
0.2%
x 11
 
0.2%
u 11
 
0.2%
i 11
 
0.2%
Other values (16) 84
 
1.6%
Arrows
ValueCountFrequency (%)
→ 694
99.6%
↑ 3
 
0.4%
Hangul
ValueCountFrequency (%)
출 188
 
3.8%
장 167
 
3.4%
고 147
 
3.0%
입 141
 
2.8%
조 135
 
2.7%
원 123
 
2.5%
료 121
 
2.4%
포 116
 
2.3%
하 110
 
2.2%
형 97
 
2.0%
Other values (227) 3608
72.8%

Sample

상호대표자신고일생활계구분폐기물 종류배출량(톤)운반자운반량(톤)처리구분처리업소명처리방법처리량(톤)사업장도로명주소사업장도로명우편번호사업장지번주소업무구분월별배출량성상구분폐기물자가처리방법공사시작일자공사종료일자제조공정
0군북면사무소군북면장2022-09-07폐합성수지류(폐염화비닐수지류는 제외한다)3.0청지환경(주)3.0위탁(주)클렌코중간처분(일반소각)3.0충청북도 옥천군 군북면 이백길 8'29000충청북도 옥천군 군북면 이백리 346-42 일원사업장폐기물배출자(2-2호)3.0고상중간처분(일반소각)2022-09-072022-12-31
1해승건설주식회사박승규2022-09-01그 밖의 폐목재류27.0(주)중원환경산업27.0위탁(주)중원환경산업재활용(중간가공폐기물 제조)27.0충청북도 옥천군 옥천읍 삼금로 27-2_ 2층'29038충청북도 옥천군 옥천읍 금구리 168-1사업장폐기물배출자(2-2호)27.0고상재활용(중간가공폐기물 제조)2022-06-152022-10-12
2찬용건설(주)이병진2022-08-26임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)15.0참웰빙임업15.0위탁참웰빙임업재활용(중간가공폐기물 제조)15.0충청북도 옥천군 옥천읍 옥천동이로 321'29043충청북도 옥천군 옥천읍 구일리 771사업장폐기물배출자(2-2호)15.0고상재활용(중간가공폐기물 제조)2022-08-262022-09-10
3신화종합건설(주)박철진2022-08-22폐합성수지류(폐염화비닐수지류는 제외한다)10.0청지환경(주)10.0위탁(주)클렌코중간처분(일반소각)10.0충청남도 당진시 천변1길 224-14 (주)신화건설 5층 (대덕동)'31775충청남도 당진시 대덕동 1689 (주)신화건설사업장폐기물배출자(2-2호)10.0고상중간처분(일반소각)2022-08-222022-09-30
4옥천군산림조합권영건2022-08-22임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)70.0참웰빙임업70.0위탁참웰빙임업재활용(중간가공폐기물 제조)70.0충청북도 옥천군 옥천읍 옥천로 2030_ 산림조합'29054충청북도 옥천군 옥천읍 가풍리 273-2 산림조합사업장폐기물배출자(2-2호)70.0고상재활용(중간가공폐기물 제조)2022-06-272022-08-25
5우진산업개발(주)김상동2022-08-18폐콘크리트50.0디에이치개발(주)50.0위탁디에이치개발(주)중간처분(파쇄.분쇄)50.0충청북도 청주시 흥덕구 백봉로 188_ 우진산업개발(주) (봉명동)'28448충청북도 청주시 흥덕구 봉명동 1967 우진산업개발(주)사업장폐기물배출자(2-2호)50.0고상중간처분(파쇄.분쇄)2022-08-182022-12-09
6우진산업개발(주)김상동2022-08-18폐아스팔트콘크리트300.0디에이치개발(주)300.0위탁디에이치개발(주)중간처분(파쇄.분쇄)300.0충청북도 청주시 흥덕구 백봉로 188_ 우진산업개발(주) (봉명동)'28448충청북도 청주시 흥덕구 봉명동 1967 우진산업개발(주)사업장폐기물배출자(2-2호)300.0고상중간처분(파쇄.분쇄)2022-08-182022-12-09
7늘푸른조경개발(주)윤금정2022-08-17임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)29.0참웰빙임업29.0위탁참웰빙임업재활용(중간가공폐기물 제조)29.0충청북도 영동군 영동읍 회동로3길 47'29141충청북도 영동군 영동읍 회동리 238-1사업장폐기물배출자(2-2호)29.0고상재활용(중간가공폐기물 제조)2022-08-112022-08-30
8충북도립대학충북도립대학총장2022-07-28폐합성수지류(폐염화비닐수지류는 제외한다)5.0청지환경(주)5.0위탁경북환경에너지주식회사중간처분(일반소각)5.0충청북도 옥천군 옥천읍 대학길 15'373803충청북도 옥천군 옥천읍 금구리 40사업장폐기물배출자(2-2호)5.0고상중간처분(일반소각)2022-07-282022-12-31
9초일건설(주)최상훈2022-07-26임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)125.0초원환경(주)125.0위탁초원환경(주)재활용(직접 제품제조)125.0충청남도 당진시 밤절로 132-57 (수청동)'31771충청남도 당진시 수청동 986사업장폐기물배출자(2-2호)125.0고상재활용(직접 제품제조)2022-07-292022-10-31
상호대표자신고일생활계구분폐기물 종류배출량(톤)운반자운반량(톤)처리구분처리업소명처리방법처리량(톤)사업장도로명주소사업장도로명우편번호사업장지번주소업무구분월별배출량성상구분폐기물자가처리방법공사시작일자공사종료일자제조공정
3205현대산업개발(주)이방주2002-05-15폐콘크리트5000.0대형환경(주)5000.0위탁대형환경(주)재활용(기타)5000.0<NA>충청북도 옥천군 옥천읍 하계리 86-1번지 (옥천-소정간 도로확장 및 포장공사)사업장폐기물배출자(2-2호)0.0재활용(기타)1997-12-152006-12-28
3206현대산업개발(주)이방주2002-05-15폐합성고무1000.0신조광타이어1000.0위탁신조광타이어재활용(기타)1000.0<NA>충청북도 옥천군 옥천읍 하계리 86-1번지 (옥천-소정간 도로확장 및 포장공사)사업장폐기물배출자(2-2호)0.0재활용(기타)1997-12-152006-12-28
3207현대산업개발(주)이방주2002-01-21폐콘크리트11000.0자가처리11000.0자가자가기타재활용11000.0<NA>충청북도 옥천군 동이면 금암리 946번지사업장폐기물배출자(2-2호)0.0기타재활용1997-05-012002-12-31
3208현대산업개발(주)이방주2002-01-21토사300.0대형환경(주)1200.0위탁대형환경(주)기타재활용1200.0<NA>충청북도 옥천군 동이면 금암리 946번지사업장폐기물배출자(2-2호)0.0기타재활용1997-05-012002-12-31
3209현대산업개발(주)이방주2002-01-21폐콘크리트1200.0대형환경(주)400.0위탁대형환경(주)기타재활용400.0<NA>충청북도 옥천군 동이면 금암리 946번지사업장폐기물배출자(2-2호)0.0기타재활용1997-05-012002-12-31
3210현대산업개발(주)이방주2002-01-21폐아스팔트콘크리트9550.0자가처리9550.0자가자가기타재활용9550.0<NA>충청북도 옥천군 동이면 금암리 946번지사업장폐기물배출자(2-2호)0.0기타재활용1997-05-012002-12-31
3211현대산업개발(주)이방주2002-01-21폐합성수지20.0대형환경(주)300.0위탁대형환경(주)기타300.0<NA>충청북도 옥천군 동이면 금암리 946번지사업장폐기물배출자(2-2호)0.0기타1997-05-012002-12-31
3212현대산업개발(주)이방주2002-01-21오니류1000.0진주산업(주)20.0위탁태전환경(주)소각20.0<NA>충청북도 옥천군 동이면 금암리 946번지사업장폐기물배출자(2-2호)0.0소각1997-05-012002-12-31
3213현대산업개발(주)이방주2002-01-21폐목재류100.0대형환경(주)1000.0위탁대형환경(주)기타1000.0<NA>충청북도 옥천군 동이면 금암리 946번지사업장폐기물배출자(2-2호)0.0기타1997-05-012002-12-31
3214현대산업개발(주)이방주2002-01-21폐아스팔트콘크리트400.0대형환경(주)100.0위탁대형환경(주)기타100.0<NA>충청북도 옥천군 동이면 금암리 946번지사업장폐기물배출자(2-2호)0.0기타1997-05-012002-12-31

Duplicate rows

Most frequently occurring

상호대표자신고일생활계구분폐기물 종류배출량(톤)운반자운반량(톤)처리구분처리업소명처리방법처리량(톤)사업장도로명주소사업장도로명우편번호사업장지번주소업무구분월별배출량성상구분폐기물자가처리방법공사시작일자공사종료일자제조공정# duplicates
10보문건설(주)정구영2003-06-020.00.00.0충청북도 옥천군 안남면 연주길 12<NA>충청북도 옥천군 안남면 연주리 52-2번지사업장폐기물배출자(2-2호)0.04
4(주)중방건설이규희2003-05-170.00.00.0충청북도 옥천군 옥천읍 문장로3길 6<NA>충청북도 옥천군 옥천읍 문정리 350-6번지사업장폐기물배출자(2-2호)0.03
02003-02-100.00.00.0충청북도 옥천군 옥천읍 양수로2길 3-18<NA>충청북도 옥천군 옥천읍 양수리 113-1번지사업장폐기물배출자(2-2호)0.02
1고내일2004-05-110.00.00.0<NA>충청북도 옥천군 청산면 교평리사업장폐기물배출자(2-2호)0.02
2(주)관천건설황수문2003-06-180.00.00.0<NA>충청북도 옥천군 군북면 환평리사업장폐기물배출자(2-2호)0.02
3(주)옥천건설정명희2003-04-140.00.00.0충청북도 옥천군 옥천읍 옥천로 1608<NA>충청북도 옥천군 옥천읍 금구리 112-8번지사업장폐기물배출자(2-2호)0.02
5(주)한일개발방수혁2003-05-230.00.00.0<NA>충청북도 옥천군 옥천읍 마암리 61번지사업장폐기물배출자(2-2호)0.02
6개 인이원태2003-06-180.00.00.0<NA>충청북도 옥천군 옥천읍 하계리 124-2번지사업장폐기물배출자(2-2호)0.02
7관성건설(주)박찬홍2002-03-15폐콘크리트46.0관성건설46.0위탁대금환경개발기타재활용46.0충청북도 옥천군 옥천읍 가화길 21<NA>충청북도 옥천군 옥천읍 금구리 199-2번지사업장폐기물배출자(2-2호)0.0기타재활용2002-03-112002-05-012
8관성건설(주)박찬홍2003-05-160.00.00.0충청북도 옥천군 옥천읍 삼금로1길 20-5<NA>충청북도 옥천군 옥천읍 금구리 194번지사업장폐기물배출자(2-2호)0.02