Overview

Dataset statistics

Number of variables24
Number of observations1600
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory304.8 KiB
Average record size in memory195.1 B

Variable types

Text13
Categorical7
Numeric3
DateTime1

Dataset

Description사업장배출자신고현황(인허가 관리번호/상호/대표자/사업자등록번호/전화번호/신고일/공사명/생활계구분/폐기물 종류/배출량(톤)/운반자/운반량/처리구분/처리업소명/처리방법/처리량/사업장도로명주소/사업장지번주소/업무구분/성상구분/폐기물자가처리방법/공사시작일/공사종료일/데이터기준일자)
Author강원도 화천군
URLhttps://www.data.go.kr/data/15081277/fileData.do

Alerts

업무구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
생활계구분 is highly imbalanced (81.9%)Imbalance
처리방법 is highly imbalanced (54.4%)Imbalance
성상구분 is highly imbalanced (73.0%)Imbalance
폐기물자가처리방법 is highly imbalanced (54.4%)Imbalance
배출량(톤) is highly skewed (γ1 = 38.6894037)Skewed
운반량(톤) is highly skewed (γ1 = 39.86675968)Skewed
처리량(톤/연) is highly skewed (γ1 = 39.86678104)Skewed
배출량(톤) has 254 (15.9%) zerosZeros
운반량(톤) has 514 (32.1%) zerosZeros
처리량(톤/연) has 513 (32.1%) zerosZeros

Reproduction

Analysis started2023-12-12 06:54:55.681977
Analysis finished2023-12-12 06:54:57.106321
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인허가관리번호
Text

Distinct1319
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:54:57.287093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters33600
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

Unique1057 ?
Unique (%)66.1%

Sample

1st row4310000-32-2021-00010
2nd row4310000-32-2021-00009
3rd row4310000-32-2021-00008
4th row4310000-32-2021-00007
5th row4310000-32-2021-00006
ValueCountFrequency (%)
4310000-32-2004-00186 4
 
0.2%
4310000-32-2003-00264 3
 
0.2%
4310000-32-2000-00009 3
 
0.2%
4310000-32-2003-00152 3
 
0.2%
4310000-32-2003-00203 3
 
0.2%
4310000-32-2002-00200 3
 
0.2%
4310000-32-2003-00128 3
 
0.2%
4310000-32-2004-00175 3
 
0.2%
4310000-32-2002-00216 3
 
0.2%
4310000-32-2005-00099 3
 
0.2%
Other values (1309) 1569
98.1%
2023-12-12T15:54:57.775640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14068
41.9%
- 4800
 
14.3%
2 4128
 
12.3%
3 3894
 
11.6%
1 2851
 
8.5%
4 2217
 
6.6%
5 453
 
1.3%
7 309
 
0.9%
6 304
 
0.9%
8 289
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28800
85.7%
Dash Punctuation 4800
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14068
48.8%
2 4128
 
14.3%
3 3894
 
13.5%
1 2851
 
9.9%
4 2217
 
7.7%
5 453
 
1.6%
7 309
 
1.1%
6 304
 
1.1%
8 289
 
1.0%
9 287
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 4800
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14068
41.9%
- 4800
 
14.3%
2 4128
 
12.3%
3 3894
 
11.6%
1 2851
 
8.5%
4 2217
 
6.6%
5 453
 
1.3%
7 309
 
0.9%
6 304
 
0.9%
8 289
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14068
41.9%
- 4800
 
14.3%
2 4128
 
12.3%
3 3894
 
11.6%
1 2851
 
8.5%
4 2217
 
6.6%
5 453
 
1.3%
7 309
 
0.9%
6 304
 
0.9%
8 289
 
0.9%

상호
Text

Distinct593
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:54:58.078422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length6.9625
Min length1

Characters and Unicode

Total characters11140
Distinct characters264
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique328 ?
Unique (%)20.5%

Sample

1st row진달래주식회사
2nd row(주)남광토건
3rd row(주)스틸엔우드
4th row(주)인성토건
5th row유비텔레콤
ValueCountFrequency (%)
화성개발(주 46
 
2.9%
화천수도설비 27
 
1.7%
화천군청 27
 
1.7%
합)정후 24
 
1.5%
합)대신산업 24
 
1.5%
주)녹색산업 23
 
1.4%
육군제2621부대 23
 
1.4%
덕호산업(주 21
 
1.3%
주)대백 20
 
1.2%
용신건설(주 19
 
1.2%
Other values (590) 1349
84.2%
2023-12-12T15:54:58.579507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 1224
 
11.0%
( 1191
 
10.7%
주 932
 
8.4%
건 823
 
7.4%
설 771
 
6.9%
합 486
 
4.4%
대 378
 
3.4%
종 216
 
1.9%
산 212
 
1.9%
화 209
 
1.9%
Other values (254) 4698
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8162
73.3%
Close Punctuation 1224
 
11.0%
Open Punctuation 1191
 
10.7%
Decimal Number 413
 
3.7%
Space Separator 135
 
1.2%
Dash Punctuation 9
 
0.1%
Uppercase Letter 5
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 932
 
11.4%
건 823
 
10.1%
설 771
 
9.4%
합 486
 
6.0%
대 378
 
4.6%
종 216
 
2.6%
산 212
 
2.6%
화 209
 
2.6%
업 176
 
2.2%
성 135
 
1.7%
Other values (235) 3824
46.9%
Decimal Number
ValueCountFrequency (%)
2 119
28.8%
1 91
22.0%
6 91
22.0%
8 52
12.6%
5 27
 
6.5%
7 16
 
3.9%
0 12
 
2.9%
3 3
 
0.7%
9 1
 
0.2%
4 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
E 2
40.0%
G 1
20.0%
N 1
20.0%
P 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 1224
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1191
100.0%
Space Separator
ValueCountFrequency (%)
135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8162
73.3%
Common 2973
 
26.7%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 932
 
11.4%
건 823
 
10.1%
설 771
 
9.4%
합 486
 
6.0%
대 378
 
4.6%
종 216
 
2.6%
산 212
 
2.6%
화 209
 
2.6%
업 176
 
2.2%
성 135
 
1.7%
Other values (235) 3824
46.9%
Common
ValueCountFrequency (%)
) 1224
41.2%
( 1191
40.1%
135
 
4.5%
2 119
 
4.0%
1 91
 
3.1%
6 91
 
3.1%
8 52
 
1.7%
5 27
 
0.9%
7 16
 
0.5%
0 12
 
0.4%
Other values (5) 15
 
0.5%
Latin
ValueCountFrequency (%)
E 2
40.0%
G 1
20.0%
N 1
20.0%
P 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8162
73.3%
ASCII 2978
 
26.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 1224
41.1%
( 1191
40.0%
135
 
4.5%
2 119
 
4.0%
1 91
 
3.1%
6 91
 
3.1%
8 52
 
1.7%
5 27
 
0.9%
7 16
 
0.5%
0 12
 
0.4%
Other values (9) 20
 
0.7%
Hangul
ValueCountFrequency (%)
주 932
 
11.4%
건 823
 
10.1%
설 771
 
9.4%
합 486
 
6.0%
대 378
 
4.6%
종 216
 
2.6%
산 212
 
2.6%
화 209
 
2.6%
업 176
 
2.2%
성 135
 
1.7%
Other values (235) 3824
46.9%

대표자
Text

Distinct617
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:54:58.938204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length3.575625
Min length1

Characters and Unicode

Total characters5721
Distinct characters228
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique330 ?
Unique (%)20.6%

Sample

1st row안승규
2nd row김근영
3rd row박영선
4th row봉인숙
5th row이연점
ValueCountFrequency (%)
김창성 55
 
3.4%
김영준 31
 
1.9%
황병섭 28
 
1.7%
안창민 27
 
1.7%
김오성 26
 
1.6%
이기성 23
 
1.4%
주희영 23
 
1.4%
김오용 21
 
1.3%
화천군수 20
 
1.2%
이성원 18
 
1.1%
Other values (612) 1336
83.1%
2023-12-12T15:54:59.513963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 376
 
6.6%
이 223
 
3.9%
성 189
 
3.3%
영 167
 
2.9%
주 155
 
2.7%
( 151
 
2.6%
) 149
 
2.6%
창 122
 
2.1%
건 120
 
2.1%
설 114
 
2.0%
Other values (218) 3955
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5308
92.8%
Open Punctuation 151
 
2.6%
Close Punctuation 149
 
2.6%
Decimal Number 99
 
1.7%
Space Separator 14
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 376
 
7.1%
이 223
 
4.2%
성 189
 
3.6%
영 167
 
3.1%
주 155
 
2.9%
창 122
 
2.3%
건 120
 
2.3%
설 114
 
2.1%
용 101
 
1.9%
수 92
 
1.7%
Other values (207) 3649
68.7%
Decimal Number
ValueCountFrequency (%)
2 28
28.3%
6 22
22.2%
1 17
17.2%
8 13
13.1%
5 10
 
10.1%
7 6
 
6.1%
0 2
 
2.0%
3 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5308
92.8%
Common 413
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 376
 
7.1%
이 223
 
4.2%
성 189
 
3.6%
영 167
 
3.1%
주 155
 
2.9%
창 122
 
2.3%
건 120
 
2.3%
설 114
 
2.1%
용 101
 
1.9%
수 92
 
1.7%
Other values (207) 3649
68.7%
Common
ValueCountFrequency (%)
( 151
36.6%
) 149
36.1%
2 28
 
6.8%
6 22
 
5.3%
1 17
 
4.1%
14
 
3.4%
8 13
 
3.1%
5 10
 
2.4%
7 6
 
1.5%
0 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5308
92.8%
ASCII 413
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 376
 
7.1%
이 223
 
4.2%
성 189
 
3.6%
영 167
 
3.1%
주 155
 
2.9%
창 122
 
2.3%
건 120
 
2.3%
설 114
 
2.1%
용 101
 
1.9%
수 92
 
1.7%
Other values (207) 3649
68.7%
ASCII
ValueCountFrequency (%)
( 151
36.6%
) 149
36.1%
2 28
 
6.8%
6 22
 
5.3%
1 17
 
4.1%
14
 
3.4%
8 13
 
3.1%
5 10
 
2.4%
7 6
 
1.5%
0 2
 
0.5%

사업자등록번호
Text

Distinct448
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:54:59.785273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.1
Min length2

Characters and Unicode

Total characters17760
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

Unique214 ?
Unique (%)13.4%

Sample

1st row531-87-00295
2nd row120-81-01995
3rd row225-81-18961
4th row707-86-01953
5th row224-81-30166
ValueCountFrequency (%)
144
 
9.0%
221-81-15467 57
 
3.6%
221-83-01119 44
 
2.7%
221-81-13659 29
 
1.8%
221-83-00712 28
 
1.7%
221-81-10569 27
 
1.7%
221-81-11345 27
 
1.7%
221-32-94746 25
 
1.6%
221-81-08398 24
 
1.5%
221-81-09403 22
 
1.4%
Other values (439) 1174
73.3%
2023-12-12T15:55:00.230636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3834
21.6%
2 3249
18.3%
- 3200
18.0%
8 1922
10.8%
0 1282
 
7.2%
3 890
 
5.0%
4 758
 
4.3%
5 740
 
4.2%
6 696
 
3.9%
7 625
 
3.5%
Other values (2) 564
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14558
82.0%
Dash Punctuation 3200
 
18.0%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3834
26.3%
2 3249
22.3%
8 1922
13.2%
0 1282
 
8.8%
3 890
 
6.1%
4 758
 
5.2%
5 740
 
5.1%
6 696
 
4.8%
7 625
 
4.3%
9 562
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 3200
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3834
21.6%
2 3249
18.3%
- 3200
18.0%
8 1922
10.8%
0 1282
 
7.2%
3 890
 
5.0%
4 758
 
4.3%
5 740
 
4.2%
6 696
 
3.9%
7 625
 
3.5%
Other values (2) 564
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3834
21.6%
2 3249
18.3%
- 3200
18.0%
8 1922
10.8%
0 1282
 
7.2%
3 890
 
5.0%
4 758
 
4.3%
5 740
 
4.2%
6 696
 
3.9%
7 625
 
3.5%
Other values (2) 564
 
3.2%

전화번호
Text

Distinct224
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:55:00.478254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length2
Mean length4.183125
Min length1

Characters and Unicode

Total characters6693
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)9.4%

Sample

1st row'033-441-4523
2nd row'0230110114
3rd row-
4th row'02-2664-8559
5th row'033-735-5566
ValueCountFrequency (%)
1357
66.2%
033 196
 
9.6%
441 52
 
2.5%
442 25
 
1.2%
261 10
 
0.5%
2619361 10
 
0.5%
262 8
 
0.4%
9362 7
 
0.3%
0334402337 6
 
0.3%
0231 6
 
0.3%
Other values (233) 373
 
18.2%
2023-12-12T15:55:00.870373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1705
25.5%
' 1457
21.8%
3 740
11.1%
4 577
 
8.6%
0 530
 
7.9%
2 318
 
4.8%
1 305
 
4.6%
6 234
 
3.5%
- 232
 
3.5%
5 183
 
2.7%
Other values (3) 412
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3299
49.3%
Space Separator 1705
25.5%
Other Punctuation 1457
21.8%
Dash Punctuation 232
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 740
22.4%
4 577
17.5%
0 530
16.1%
2 318
9.6%
1 305
9.2%
6 234
 
7.1%
5 183
 
5.5%
7 174
 
5.3%
8 140
 
4.2%
9 98
 
3.0%
Space Separator
ValueCountFrequency (%)
1705
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1457
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6693
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1705
25.5%
' 1457
21.8%
3 740
11.1%
4 577
 
8.6%
0 530
 
7.9%
2 318
 
4.8%
1 305
 
4.6%
6 234
 
3.5%
- 232
 
3.5%
5 183
 
2.7%
Other values (3) 412
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1705
25.5%
' 1457
21.8%
3 740
11.1%
4 577
 
8.6%
0 530
 
7.9%
2 318
 
4.8%
1 305
 
4.6%
6 234
 
3.5%
- 232
 
3.5%
5 183
 
2.7%
Other values (3) 412
 
6.2%

신고일
Text

Distinct634
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:55:01.064694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.995
Min length6

Characters and Unicode

Total characters22392
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique269 ?
Unique (%)16.8%

Sample

1st row2021 년05 월12 일
2nd row2021 년04 월13 일
3rd row2021 년04 월01 일
4th row2021 년03 월19 일
5th row2021 년03 월12 일
ValueCountFrequency (%)
일 1600
25.0%
2003 367
 
5.7%
2004 295
 
4.6%
2002 280
 
4.4%
2001 248
 
3.9%
년04 205
 
3.2%
년11 196
 
3.1%
년10 179
 
2.8%
년07 170
 
2.7%
년05 163
 
2.5%
Other values (58) 2696
42.1%
2023-12-12T15:55:01.402679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5056
22.6%
4800
21.4%
2 2826
12.6%
1 1817
 
8.1%
년 1600
 
7.1%
월 1600
 
7.1%
일 1600
 
7.1%
3 703
 
3.1%
4 662
 
3.0%
5 425
 
1.9%
Other values (4) 1303
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12792
57.1%
Space Separator 4800
 
21.4%
Other Letter 4800
 
21.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5056
39.5%
2 2826
22.1%
1 1817
 
14.2%
3 703
 
5.5%
4 662
 
5.2%
5 425
 
3.3%
7 375
 
2.9%
6 331
 
2.6%
9 307
 
2.4%
8 290
 
2.3%
Other Letter
ValueCountFrequency (%)
년 1600
33.3%
월 1600
33.3%
일 1600
33.3%
Space Separator
ValueCountFrequency (%)
4800
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17592
78.6%
Hangul 4800
 
21.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5056
28.7%
4800
27.3%
2 2826
16.1%
1 1817
 
10.3%
3 703
 
4.0%
4 662
 
3.8%
5 425
 
2.4%
7 375
 
2.1%
6 331
 
1.9%
9 307
 
1.7%
Hangul
ValueCountFrequency (%)
년 1600
33.3%
월 1600
33.3%
일 1600
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17592
78.6%
Hangul 4800
 
21.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5056
28.7%
4800
27.3%
2 2826
16.1%
1 1817
 
10.3%
3 703
 
4.0%
4 662
 
3.8%
5 425
 
2.4%
7 375
 
2.1%
6 331
 
1.9%
9 307
 
1.7%
Hangul
ValueCountFrequency (%)
년 1600
33.3%
월 1600
33.3%
일 1600
33.3%

공사명
Text

Distinct1163
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:55:01.695337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30
Mean length16.4025
Min length1

Characters and Unicode

Total characters26244
Distinct characters442
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique881 ?
Unique (%)55.1%

Sample

1st row2권역(광덕초외 10교)수목관리공사
2nd row지방도 461호선 구만~오음간 도로 확장공사
3rd row154kv 화천S/S 외장재 교체공사
4th row제1288부대 주둔지 울타리 보강공사
5th row2021년 설비이전 연간단가 선로공사(화천)
ValueCountFrequency (%)
수해복구공사 95
 
2.3%
및 86
 
2.1%
신축공사 59
 
1.5%
상서면 55
 
1.4%
화천읍 43
 
1.1%
정비공사 40
 
1.0%
철거공사 39
 
1.0%
간동면 39
 
1.0%
사내면 37
 
0.9%
설치공사 36
 
0.9%
Other values (1676) 3536
87.0%
2023-12-12T15:55:02.247311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2599
 
9.9%
사 1708
 
6.5%
공 1305
 
5.0%
리 807
 
3.1%
수 772
 
2.9%
0 597
 
2.3%
도 582
 
2.2%
2 500
 
1.9%
지 462
 
1.8%
구 416
 
1.6%
Other values (432) 16496
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20499
78.1%
Space Separator 2599
 
9.9%
Decimal Number 2129
 
8.1%
Close Punctuation 359
 
1.4%
Open Punctuation 340
 
1.3%
Dash Punctuation 106
 
0.4%
Connector Punctuation 58
 
0.2%
Uppercase Letter 58
 
0.2%
Other Punctuation 55
 
0.2%
Lowercase Letter 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1708
 
8.3%
공 1305
 
6.4%
리 807
 
3.9%
수 772
 
3.8%
도 582
 
2.8%
지 462
 
2.3%
구 416
 
2.0%
설 415
 
2.0%
천 374
 
1.8%
로 355
 
1.7%
Other values (390) 13303
64.9%
Uppercase Letter
ValueCountFrequency (%)
T 9
15.5%
P 8
13.8%
A 6
10.3%
S 6
10.3%
B 5
8.6%
K 5
8.6%
L 5
8.6%
G 4
6.9%
V 3
 
5.2%
C 2
 
3.4%
Other values (4) 5
8.6%
Decimal Number
ValueCountFrequency (%)
0 597
28.0%
2 500
23.5%
1 298
14.0%
3 168
 
7.9%
5 164
 
7.7%
4 163
 
7.7%
6 125
 
5.9%
9 40
 
1.9%
7 39
 
1.8%
8 35
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
k 7
30.4%
m 5
21.7%
v 4
17.4%
o 2
 
8.7%
s 2
 
8.7%
t 1
 
4.3%
p 1
 
4.3%
a 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 25
45.5%
' 19
34.5%
/ 9
 
16.4%
: 2
 
3.6%
Space Separator
ValueCountFrequency (%)
2599
100.0%
Close Punctuation
ValueCountFrequency (%)
) 359
100.0%
Open Punctuation
ValueCountFrequency (%)
( 340
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 58
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20499
78.1%
Common 5664
 
21.6%
Latin 81
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1708
 
8.3%
공 1305
 
6.4%
리 807
 
3.9%
수 772
 
3.8%
도 582
 
2.8%
지 462
 
2.3%
구 416
 
2.0%
설 415
 
2.0%
천 374
 
1.8%
로 355
 
1.7%
Other values (390) 13303
64.9%
Latin
ValueCountFrequency (%)
T 9
11.1%
P 8
 
9.9%
k 7
 
8.6%
A 6
 
7.4%
S 6
 
7.4%
B 5
 
6.2%
K 5
 
6.2%
L 5
 
6.2%
m 5
 
6.2%
G 4
 
4.9%
Other values (12) 21
25.9%
Common
ValueCountFrequency (%)
2599
45.9%
0 597
 
10.5%
2 500
 
8.8%
) 359
 
6.3%
( 340
 
6.0%
1 298
 
5.3%
3 168
 
3.0%
5 164
 
2.9%
4 163
 
2.9%
6 125
 
2.2%
Other values (10) 351
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20466
78.0%
ASCII 5745
 
21.9%
Compat Jamo 33
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2599
45.2%
0 597
 
10.4%
2 500
 
8.7%
) 359
 
6.2%
( 340
 
5.9%
1 298
 
5.2%
3 168
 
2.9%
5 164
 
2.9%
4 163
 
2.8%
6 125
 
2.2%
Other values (32) 432
 
7.5%
Hangul
ValueCountFrequency (%)
사 1708
 
8.3%
공 1305
 
6.4%
리 807
 
3.9%
수 772
 
3.8%
도 582
 
2.8%
지 462
 
2.3%
구 416
 
2.0%
설 415
 
2.0%
천 374
 
1.8%
로 355
 
1.7%
Other values (388) 13270
64.8%
Compat Jamo
ValueCountFrequency (%)
ㅇ 32
97.0%
ㅅ 1
 
3.0%

생활계구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
1533 
생활계
 
48
배출시설계
 
19

Length

Max length5
Median length1
Mean length1.1075
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row배출시설계
2nd row배출시설계
3rd row생활계
4th row생활계
5th row배출시설계

Common Values

ValueCountFrequency (%)
1533
95.8%
생활계 48
 
3.0%
배출시설계 19
 
1.2%

Length

2023-12-12T15:55:02.388422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:55:02.538011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활계 48
71.6%
배출시설계 19
 
28.4%

폐기물 종류
Categorical

Distinct33
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
폐콘크리트
751 
248 
폐아스팔트
205 
건설폐기물
144 
건설폐재류
 
57
Other values (28)
195 

Length

Max length49
Median length5
Mean length5.825
Min length1

Unique

Unique9 ?
Unique (%)0.6%

Sample

1st row그 밖의 폐목재류
2nd row임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)
3rd row폐합성수지류(폐염화비닐수지류는 제외한다)
4th row임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)
5th row그 밖의 폐합성고분자화합물(합성수지류로 피복된 폐전선을 포함한다)

Common Values

ValueCountFrequency (%)
폐콘크리트 751
46.9%
248
 
15.5%
폐아스팔트 205
 
12.8%
건설폐기물 144
 
9.0%
건설폐재류 57
 
3.6%
임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다) 30
 
1.9%
폐아스팔트콘크리트 27
 
1.7%
폐목재류 1등급 23
 
1.4%
폐타이어 22
 
1.4%
폐합성수지류(폐염화비닐수지류는 제외한다) 17
 
1.1%
Other values (23) 76
 
4.8%

Length

2023-12-12T15:55:02.686152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
폐콘크리트 751
42.3%
폐아스팔트 205
 
11.5%
건설폐기물 144
 
8.1%
건설폐재류 57
 
3.2%
등을 38
 
2.1%
폐목재류 36
 
2.0%
말한다 31
 
1.7%
나무뿌리 30
 
1.7%
줄기 30
 
1.7%
가지 30
 
1.7%
Other values (49) 423
23.8%

배출량(톤)
Real number (ℝ)

SKEWED  ZEROS 

Distinct560
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean541.02484
Minimum0
Maximum480000
Zeros254
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2023-12-12T15:55:02.841624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median43.35
Q3142.25
95-th percentile869.05
Maximum480000
Range480000
Interquartile range (IQR)131.25

Descriptive statistics

Standard deviation12141.344
Coefficient of variation (CV)22.44138
Kurtosis1524.3292
Mean541.02484
Median Absolute Deviation (MAD)43.35
Skewness38.689404
Sum865639.74
Variance1.4741224 × 108
MonotonicityNot monotonic
2023-12-12T15:55:02.978773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 254
 
15.9%
30.0 44
 
2.8%
15.0 38
 
2.4%
50.0 38
 
2.4%
20.0 34
 
2.1%
100.0 28
 
1.8%
10.0 28
 
1.8%
60.0 25
 
1.6%
5.0 23
 
1.4%
40.0 22
 
1.4%
Other values (550) 1066
66.6%
ValueCountFrequency (%)
0.0 254
15.9%
0.023 1
 
0.1%
0.41 1
 
0.1%
0.44 1
 
0.1%
0.5 1
 
0.1%
1.0 3
 
0.2%
1.056 1
 
0.1%
1.3 1
 
0.1%
1.452 1
 
0.1%
1.46 1
 
0.1%
ValueCountFrequency (%)
480000.0 1
0.1%
72000.0 1
0.1%
10000.0 1
0.1%
8426.07 1
0.1%
6000.0 2
0.1%
5304.0 1
0.1%
4800.0 1
0.1%
4030.0 1
0.1%
4000.0 1
0.1%
3506.0 1
0.1%

운반자
Text

Distinct121
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:55:03.186067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length4.735
Min length1

Characters and Unicode

Total characters7576
Distinct characters128
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)3.8%

Sample

1st row(주)춘일실업
2nd row화천중기
3rd row(주)다원환경
4th row(주)화현에너지
5th row(주)영재환경산업
ValueCountFrequency (%)
자가처리 413
30.7%
화성개발(주 219
16.3%
화성개발 100
 
7.4%
합)강원산업 62
 
4.6%
강토개발(주 61
 
4.5%
주)녹색산업 47
 
3.5%
강원산업 37
 
2.8%
덕호산업 37
 
2.8%
덕호산업(주 34
 
2.5%
녹색산업 27
 
2.0%
Other values (104) 308
22.9%
2023-12-12T15:55:03.529824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 628
 
8.3%
) 627
 
8.3%
주 519
 
6.9%
개 454
 
6.0%
발 451
 
6.0%
자 429
 
5.7%
가 419
 
5.5%
리 416
 
5.5%
처 413
 
5.5%
산 362
 
4.8%
Other values (118) 2858
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6046
79.8%
Open Punctuation 628
 
8.3%
Close Punctuation 627
 
8.3%
Space Separator 275
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 519
 
8.6%
개 454
 
7.5%
발 451
 
7.5%
자 429
 
7.1%
가 419
 
6.9%
리 416
 
6.9%
처 413
 
6.8%
산 362
 
6.0%
업 358
 
5.9%
화 338
 
5.6%
Other values (115) 1887
31.2%
Open Punctuation
ValueCountFrequency (%)
( 628
100.0%
Close Punctuation
ValueCountFrequency (%)
) 627
100.0%
Space Separator
ValueCountFrequency (%)
275
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6046
79.8%
Common 1530
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 519
 
8.6%
개 454
 
7.5%
발 451
 
7.5%
자 429
 
7.1%
가 419
 
6.9%
리 416
 
6.9%
처 413
 
6.8%
산 362
 
6.0%
업 358
 
5.9%
화 338
 
5.6%
Other values (115) 1887
31.2%
Common
ValueCountFrequency (%)
( 628
41.0%
) 627
41.0%
275
18.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6046
79.8%
ASCII 1530
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 628
41.0%
) 627
41.0%
275
18.0%
Hangul
ValueCountFrequency (%)
주 519
 
8.6%
개 454
 
7.5%
발 451
 
7.5%
자 429
 
7.1%
가 419
 
6.9%
리 416
 
6.9%
처 413
 
6.8%
산 362
 
6.0%
업 358
 
5.9%
화 338
 
5.6%
Other values (115) 1887
31.2%

운반량(톤)
Real number (ℝ)

SKEWED  ZEROS 

Distinct490
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean463.47389
Minimum0
Maximum480000
Zeros514
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2023-12-12T15:55:03.659632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24
Q3100
95-th percentile692.4
Maximum480000
Range480000
Interquartile range (IQR)100

Descriptive statistics

Standard deviation12009.339
Coefficient of variation (CV)25.911577
Kurtosis1592.8426
Mean463.47389
Median Absolute Deviation (MAD)24
Skewness39.86676
Sum741558.22
Variance1.4422423 × 108
MonotonicityNot monotonic
2023-12-12T15:55:03.828833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 514
32.1%
50.0 33
 
2.1%
20.0 31
 
1.9%
15.0 30
 
1.9%
30.0 28
 
1.8%
10.0 24
 
1.5%
100.0 23
 
1.4%
5.0 20
 
1.2%
60.0 18
 
1.1%
40.0 18
 
1.1%
Other values (480) 861
53.8%
ValueCountFrequency (%)
0.0 514
32.1%
0.41 1
 
0.1%
0.44 1
 
0.1%
0.5 1
 
0.1%
1.0 3
 
0.2%
1.056 1
 
0.1%
1.452 1
 
0.1%
1.46 1
 
0.1%
1.5 1
 
0.1%
2.0 6
 
0.4%
ValueCountFrequency (%)
480000.0 1
0.1%
10000.0 1
0.1%
8426.07 1
0.1%
6000.0 2
0.1%
5110.0 1
0.1%
4902.0 1
0.1%
4800.0 1
0.1%
4030.0 1
0.1%
4000.0 1
0.1%
3506.0 1
0.1%

처리구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
위탁
921 
자가
419 
260 

Length

Max length2
Median length2
Mean length1.8375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁 921
57.6%
자가 419
26.2%
260
 
16.2%

Length

2023-12-12T15:55:03.999683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:55:04.110396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 921
68.7%
자가 419
31.3%

처리업소명
Text

Distinct115
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:55:04.337961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length4.275625
Min length1

Characters and Unicode

Total characters6841
Distinct characters141
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)3.6%

Sample

1st row(주)이현에너지
2nd row유촌리 산림바이오매스센터
3rd row(주)다원환경
4th row(주)화현에너지
5th row(주)영재
ValueCountFrequency (%)
자가 414
30.7%
화성개발(주 223
16.6%
화성개발 102
 
7.6%
합)강원산업 62
 
4.6%
강토개발(주 61
 
4.5%
주)녹색산업 48
 
3.6%
강원산업 37
 
2.7%
덕호산업 37
 
2.7%
덕호산업(주 34
 
2.5%
녹색산업 26
 
1.9%
Other values (106) 303
22.5%
2023-12-12T15:55:04.737921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 629
 
9.2%
) 627
 
9.2%
주 518
 
7.6%
개 453
 
6.6%
발 453
 
6.6%
자 426
 
6.2%
가 417
 
6.1%
업 366
 
5.4%
산 365
 
5.3%
화 336
 
4.9%
Other values (131) 2251
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5312
77.6%
Open Punctuation 629
 
9.2%
Close Punctuation 627
 
9.2%
Space Separator 269
 
3.9%
Connector Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 518
 
9.8%
개 453
 
8.5%
발 453
 
8.5%
자 426
 
8.0%
가 417
 
7.9%
업 366
 
6.9%
산 365
 
6.9%
화 336
 
6.3%
성 336
 
6.3%
강 230
 
4.3%
Other values (125) 1412
26.6%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
H 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 629
100.0%
Close Punctuation
ValueCountFrequency (%)
) 627
100.0%
Space Separator
ValueCountFrequency (%)
269
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5312
77.6%
Common 1527
 
22.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 518
 
9.8%
개 453
 
8.5%
발 453
 
8.5%
자 426
 
8.0%
가 417
 
7.9%
업 366
 
6.9%
산 365
 
6.9%
화 336
 
6.3%
성 336
 
6.3%
강 230
 
4.3%
Other values (125) 1412
26.6%
Common
ValueCountFrequency (%)
( 629
41.2%
) 627
41.1%
269
17.6%
_ 2
 
0.1%
Latin
ValueCountFrequency (%)
J 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5311
77.6%
ASCII 1529
 
22.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 629
41.1%
) 627
41.0%
269
17.6%
_ 2
 
0.1%
J 1
 
0.1%
H 1
 
0.1%
Hangul
ValueCountFrequency (%)
주 518
 
9.8%
개 453
 
8.5%
발 453
 
8.5%
자 426
 
8.0%
가 417
 
7.9%
업 366
 
6.9%
산 365
 
6.9%
화 336
 
6.3%
성 336
 
6.3%
강 230
 
4.3%
Other values (124) 1411
26.6%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

처리방법
Categorical

IMBALANCE 

Distinct18
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
재활용(파쇄.분쇄)
923 
파쇄.절단
274 
264 
중간처분(파쇄.분쇄)
 
30
재활용(기타)
 
27
Other values (13)
 
82

Length

Max length17
Median length10
Mean length7.79
Min length1

Unique

Unique5 ?
Unique (%)0.3%

Sample

1st row재활용(연료·고형연료제품 제조)
2nd row중간처분(파쇄.분쇄)
3rd row재활용(중간가공폐기물 제조)
4th row재활용(중간가공폐기물 제조)
5th row재활용(중간가공폐기물 제조)

Common Values

ValueCountFrequency (%)
재활용(파쇄.분쇄) 923
57.7%
파쇄.절단 274
 
17.1%
264
 
16.5%
중간처분(파쇄.분쇄) 30
 
1.9%
재활용(기타) 27
 
1.7%
재활용(중간가공폐기물 제조) 24
 
1.5%
중간처분(일반소각) 14
 
0.9%
재활용(농업생산활동에 사용) 13
 
0.8%
재활용(직접 제품제조) 9
 
0.6%
매립(민간관리형매립시설) 8
 
0.5%
Other values (8) 14
 
0.9%

Length

2023-12-12T15:55:04.888367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재활용(파쇄.분쇄 923
66.5%
파쇄.절단 274
 
19.8%
중간처분(파쇄.분쇄 30
 
2.2%
제조 29
 
2.1%
재활용(기타 27
 
1.9%
재활용(중간가공폐기물 24
 
1.7%
중간처분(일반소각 14
 
1.0%
재활용(농업생산활동에 13
 
0.9%
사용 13
 
0.9%
제품제조 9
 
0.6%
Other values (10) 31
 
2.2%

처리량(톤/연)
Real number (ℝ)

SKEWED  ZEROS 

Distinct492
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean463.41029
Minimum0
Maximum480000
Zeros513
Zeros (%)32.1%
Negative0
Negative (%)0.0%
Memory size14.2 KiB
2023-12-12T15:55:05.026679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24
Q3100
95-th percentile692.4
Maximum480000
Range480000
Interquartile range (IQR)100

Descriptive statistics

Standard deviation12009.339
Coefficient of variation (CV)25.915132
Kurtosis1592.8437
Mean463.41029
Median Absolute Deviation (MAD)24
Skewness39.866781
Sum741456.47
Variance1.4422422 × 108
MonotonicityNot monotonic
2023-12-12T15:55:05.207150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 513
32.1%
50.0 32
 
2.0%
20.0 31
 
1.9%
15.0 29
 
1.8%
30.0 28
 
1.8%
10.0 24
 
1.5%
100.0 23
 
1.4%
5.0 20
 
1.2%
60.0 18
 
1.1%
40.0 18
 
1.1%
Other values (482) 864
54.0%
ValueCountFrequency (%)
0.0 513
32.1%
0.41 1
 
0.1%
0.44 1
 
0.1%
0.5 1
 
0.1%
1.0 3
 
0.2%
1.056 1
 
0.1%
1.452 1
 
0.1%
1.46 1
 
0.1%
1.5 1
 
0.1%
2.0 6
 
0.4%
ValueCountFrequency (%)
480000.0 1
0.1%
10000.0 1
0.1%
8426.07 1
0.1%
6000.0 2
0.1%
5110.0 1
0.1%
4902.0 1
0.1%
4800.0 1
0.1%
4030.0 1
0.1%
4000.0 1
0.1%
3506.0 1
0.1%

사업장도로명주소
Text

Distinct116
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:55:05.443256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length1
Mean length3.645
Min length1

Characters and Unicode

Total characters5832
Distinct characters217
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)5.6%

Sample

1st row강원도 화천군 사내면 사내로 10-15_ 진달래(주)_나들목기사식당_이태리안경원_
2nd row경기도 용인시 기흥구 흥덕중앙로 120_ U-TOWER (영덕동)
3rd row강원도 정선군 정선읍 서동로 1240
4th row서울특별시 강서구 초원로 75_ 성원빌딩 2층층 203호호 (방화동)
5th row강원도 원주시 북원로2685번길 33 (태장동)
ValueCountFrequency (%)
강원도 174
 
17.2%
화천군 76
 
7.5%
춘천시 51
 
5.0%
화천읍 41
 
4.1%
하남면 18
 
1.8%
원주시 17
 
1.7%
한치로 16
 
1.6%
노신로 16
 
1.6%
355 15
 
1.5%
85 15
 
1.5%
Other values (308) 572
56.6%
2023-12-12T15:55:05.828305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2257
38.7%
천 214
 
3.7%
원 206
 
3.5%
강 187
 
3.2%
도 186
 
3.2%
화 165
 
2.8%
로 153
 
2.6%
1 125
 
2.1%
5 104
 
1.8%
군 103
 
1.8%
Other values (207) 2132
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2689
46.1%
Space Separator 2257
38.7%
Decimal Number 664
 
11.4%
Close Punctuation 68
 
1.2%
Open Punctuation 68
 
1.2%
Dash Punctuation 44
 
0.8%
Connector Punctuation 36
 
0.6%
Uppercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 214
 
8.0%
원 206
 
7.7%
강 187
 
7.0%
도 186
 
6.9%
화 165
 
6.1%
로 153
 
5.7%
군 103
 
3.8%
시 99
 
3.7%
면 79
 
2.9%
동 79
 
2.9%
Other values (186) 1218
45.3%
Decimal Number
ValueCountFrequency (%)
1 125
18.8%
5 104
15.7%
3 76
11.4%
8 71
10.7%
2 66
9.9%
4 59
8.9%
7 51
7.7%
0 49
 
7.4%
6 41
 
6.2%
9 22
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
U 1
16.7%
T 1
16.7%
O 1
16.7%
W 1
16.7%
E 1
16.7%
R 1
16.7%
Space Separator
ValueCountFrequency (%)
2257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3137
53.8%
Hangul 2689
46.1%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 214
 
8.0%
원 206
 
7.7%
강 187
 
7.0%
도 186
 
6.9%
화 165
 
6.1%
로 153
 
5.7%
군 103
 
3.8%
시 99
 
3.7%
면 79
 
2.9%
동 79
 
2.9%
Other values (186) 1218
45.3%
Common
ValueCountFrequency (%)
2257
71.9%
1 125
 
4.0%
5 104
 
3.3%
3 76
 
2.4%
8 71
 
2.3%
) 68
 
2.2%
( 68
 
2.2%
2 66
 
2.1%
4 59
 
1.9%
7 51
 
1.6%
Other values (5) 192
 
6.1%
Latin
ValueCountFrequency (%)
U 1
16.7%
T 1
16.7%
O 1
16.7%
W 1
16.7%
E 1
16.7%
R 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3143
53.9%
Hangul 2689
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2257
71.8%
1 125
 
4.0%
5 104
 
3.3%
3 76
 
2.4%
8 71
 
2.3%
) 68
 
2.2%
( 68
 
2.2%
2 66
 
2.1%
4 59
 
1.9%
7 51
 
1.6%
Other values (11) 198
 
6.3%
Hangul
ValueCountFrequency (%)
천 214
 
8.0%
원 206
 
7.7%
강 187
 
7.0%
도 186
 
6.9%
화 165
 
6.1%
로 153
 
5.7%
군 103
 
3.8%
시 99
 
3.7%
면 79
 
2.9%
동 79
 
2.9%
Other values (186) 1218
45.3%

사업장지번주소
Text

Distinct883
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:55:06.483282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length23.020625
Min length1

Characters and Unicode

Total characters36833
Distinct characters344
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

Unique597 ?
Unique (%)37.3%

Sample

1st row강원도 화천군 사내면 사창리 418-2 진달래(주)_나들목기사식당_이태리안경원_
2nd row경기도 용인시 기흥구 영덕동 1029 U-TOWER
3rd row강원도 정선군 정선읍 덕송리 536-4
4th row서울특별시 강서구 방화동 247-110 성원빌딩
5th row강원도 원주시 태장동 2695-3
ValueCountFrequency (%)
강원도 1541
 
18.5%
화천군 1237
 
14.9%
화천읍 495
 
6.0%
상서면 260
 
3.1%
사내면 214
 
2.6%
하남면 137
 
1.6%
간동면 135
 
1.6%
춘천시 133
 
1.6%
하리 132
 
1.6%
아리 121
 
1.5%
Other values (1245) 3911
47.0%
2023-12-12T15:55:06.937153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8565
23.3%
천 2049
 
5.6%
화 1825
 
5.0%
도 1742
 
4.7%
원 1727
 
4.7%
리 1584
 
4.3%
강 1580
 
4.3%
군 1343
 
3.6%
면 864
 
2.3%
1 753
 
2.0%
Other values (334) 14801
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23314
63.3%
Space Separator 8565
 
23.3%
Decimal Number 3894
 
10.6%
Dash Punctuation 731
 
2.0%
Close Punctuation 116
 
0.3%
Open Punctuation 116
 
0.3%
Connector Punctuation 41
 
0.1%
Other Punctuation 29
 
0.1%
Uppercase Letter 13
 
< 0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 2049
 
8.8%
화 1825
 
7.8%
도 1742
 
7.5%
원 1727
 
7.4%
리 1584
 
6.8%
강 1580
 
6.8%
군 1343
 
5.8%
면 864
 
3.7%
사 729
 
3.1%
읍 620
 
2.7%
Other values (298) 9251
39.7%
Uppercase Letter
ValueCountFrequency (%)
F 2
15.4%
A 1
7.7%
B 1
7.7%
Q 1
7.7%
H 1
7.7%
D 1
7.7%
O 1
7.7%
U 1
7.7%
T 1
7.7%
W 1
7.7%
Other values (2) 2
15.4%
Decimal Number
ValueCountFrequency (%)
1 753
19.3%
2 690
17.7%
6 429
11.0%
3 402
10.3%
4 371
9.5%
5 328
8.4%
9 285
 
7.3%
0 254
 
6.5%
8 192
 
4.9%
7 190
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
o 4
40.0%
k 2
20.0%
w 2
20.0%
b 1
 
10.0%
l 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 13
44.8%
' 9
31.0%
. 7
24.1%
Space Separator
ValueCountFrequency (%)
8565
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 731
100.0%
Close Punctuation
ValueCountFrequency (%)
) 116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 116
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23314
63.3%
Common 13496
36.6%
Latin 23
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 2049
 
8.8%
화 1825
 
7.8%
도 1742
 
7.5%
원 1727
 
7.4%
리 1584
 
6.8%
강 1580
 
6.8%
군 1343
 
5.8%
면 864
 
3.7%
사 729
 
3.1%
읍 620
 
2.7%
Other values (298) 9251
39.7%
Common
ValueCountFrequency (%)
8565
63.5%
1 753
 
5.6%
- 731
 
5.4%
2 690
 
5.1%
6 429
 
3.2%
3 402
 
3.0%
4 371
 
2.7%
5 328
 
2.4%
9 285
 
2.1%
0 254
 
1.9%
Other values (9) 688
 
5.1%
Latin
ValueCountFrequency (%)
o 4
17.4%
k 2
 
8.7%
F 2
 
8.7%
w 2
 
8.7%
A 1
 
4.3%
B 1
 
4.3%
Q 1
 
4.3%
H 1
 
4.3%
D 1
 
4.3%
O 1
 
4.3%
Other values (7) 7
30.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23314
63.3%
ASCII 13519
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8565
63.4%
1 753
 
5.6%
- 731
 
5.4%
2 690
 
5.1%
6 429
 
3.2%
3 402
 
3.0%
4 371
 
2.7%
5 328
 
2.4%
9 285
 
2.1%
0 254
 
1.9%
Other values (26) 711
 
5.3%
Hangul
ValueCountFrequency (%)
천 2049
 
8.8%
화 1825
 
7.8%
도 1742
 
7.5%
원 1727
 
7.4%
리 1584
 
6.8%
강 1580
 
6.8%
군 1343
 
5.8%
면 864
 
3.7%
사 729
 
3.1%
읍 620
 
2.7%
Other values (298) 9251
39.7%

업무구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
사업장폐기물배출자(2-2호)
1600 

Length

Max length15
Median length15
Mean length15
Min length15

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) 1600
100.0%

Length

2023-12-12T15:55:07.061786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:55:07.185786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장폐기물배출자(2-2호 1600
100.0%

성상구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
1466 
고상
 
131
기타
 
3

Length

Max length2
Median length1
Mean length1.08375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1466
91.6%
고상 131
 
8.2%
기타 3
 
0.2%

Length

2023-12-12T15:55:07.286935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:55:07.394031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고상 131
97.8%
기타 3
 
2.2%

폐기물자가처리방법
Categorical

IMBALANCE 

Distinct18
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
재활용(파쇄.분쇄)
923 
파쇄.절단
274 
264 
중간처분(파쇄.분쇄)
 
30
재활용(기타)
 
27
Other values (13)
 
82

Length

Max length17
Median length10
Mean length7.79
Min length1

Unique

Unique5 ?
Unique (%)0.3%

Sample

1st row재활용(연료·고형연료제품 제조)
2nd row중간처분(파쇄.분쇄)
3rd row재활용(중간가공폐기물 제조)
4th row재활용(중간가공폐기물 제조)
5th row재활용(중간가공폐기물 제조)

Common Values

ValueCountFrequency (%)
재활용(파쇄.분쇄) 923
57.7%
파쇄.절단 274
 
17.1%
264
 
16.5%
중간처분(파쇄.분쇄) 30
 
1.9%
재활용(기타) 27
 
1.7%
재활용(중간가공폐기물 제조) 24
 
1.5%
중간처분(일반소각) 14
 
0.9%
재활용(농업생산활동에 사용) 13
 
0.8%
재활용(직접 제품제조) 9
 
0.6%
매립(민간관리형매립시설) 8
 
0.5%
Other values (8) 14
 
0.9%

Length

2023-12-12T15:55:07.504241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
재활용(파쇄.분쇄 923
66.5%
파쇄.절단 274
 
19.8%
중간처분(파쇄.분쇄 30
 
2.2%
제조 29
 
2.1%
재활용(기타 27
 
1.9%
재활용(중간가공폐기물 24
 
1.7%
중간처분(일반소각 14
 
1.0%
재활용(농업생산활동에 13
 
0.9%
사용 13
 
0.9%
제품제조 9
 
0.6%
Other values (10) 31
 
2.2%

공사시작일자
Text

Distinct771
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:55:07.693764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.46
Min length1

Characters and Unicode

Total characters19936
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique404 ?
Unique (%)25.2%

Sample

1st row2021년 05월 10일
2nd row2019년 10월 30일
3rd row2021년 03월 02일
4th row2021년 03월 18일
5th row2021년 02월 26일
ValueCountFrequency (%)
2003년 369
 
8.0%
2004년 285
 
6.2%
2002년 259
 
5.7%
2001년 228
 
5.0%
11월 194
 
4.2%
04월 182
 
4.0%
05월 175
 
3.8%
03월 171
 
3.7%
10월 159
 
3.5%
07월 147
 
3.2%
Other values (57) 2415
52.7%
2023-12-12T15:55:08.097687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4876
24.5%
3128
15.7%
2 2671
13.4%
1 1684
 
8.4%
년 1528
 
7.7%
월 1528
 
7.7%
일 1528
 
7.7%
3 760
 
3.8%
4 608
 
3.0%
5 469
 
2.4%
Other values (4) 1156
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12224
61.3%
Other Letter 4584
 
23.0%
Space Separator 3128
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4876
39.9%
2 2671
21.9%
1 1684
 
13.8%
3 760
 
6.2%
4 608
 
5.0%
5 469
 
3.8%
7 340
 
2.8%
6 305
 
2.5%
8 260
 
2.1%
9 251
 
2.1%
Other Letter
ValueCountFrequency (%)
년 1528
33.3%
월 1528
33.3%
일 1528
33.3%
Space Separator
ValueCountFrequency (%)
3128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15352
77.0%
Hangul 4584
 
23.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4876
31.8%
3128
20.4%
2 2671
17.4%
1 1684
 
11.0%
3 760
 
5.0%
4 608
 
4.0%
5 469
 
3.1%
7 340
 
2.2%
6 305
 
2.0%
8 260
 
1.7%
Hangul
ValueCountFrequency (%)
년 1528
33.3%
월 1528
33.3%
일 1528
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15352
77.0%
Hangul 4584
 
23.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4876
31.8%
3128
20.4%
2 2671
17.4%
1 1684
 
11.0%
3 760
 
5.0%
4 608
 
4.0%
5 469
 
3.1%
7 340
 
2.2%
6 305
 
2.0%
8 260
 
1.7%
Hangul
ValueCountFrequency (%)
년 1528
33.3%
월 1528
33.3%
일 1528
33.3%

공사종료일자
Text

Distinct687
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
2023-12-12T15:55:08.318855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.4675
Min length1

Characters and Unicode

Total characters19948
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique340 ?
Unique (%)21.2%

Sample

1st row2021년 10월 31일
2nd row2024년 10월 02일
3rd row2021년 08월 18일
4th row2021년 03월 27일
5th row2021년 12월 20일
ValueCountFrequency (%)
2003년 355
 
7.7%
2004년 310
 
6.8%
12월 300
 
6.5%
30일 276
 
6.0%
31일 258
 
5.6%
2002년 257
 
5.6%
2001년 215
 
4.7%
05월 195
 
4.3%
2005년 166
 
3.6%
11월 156
 
3.4%
Other values (56) 2099
45.8%
2023-12-12T15:55:08.653703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4732
23.7%
3129
15.7%
2 2642
13.2%
1 1833
 
9.2%
년 1529
 
7.7%
월 1529
 
7.7%
일 1529
 
7.7%
3 1025
 
5.1%
5 543
 
2.7%
4 472
 
2.4%
Other values (4) 985
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12232
61.3%
Other Letter 4587
 
23.0%
Space Separator 3129
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4732
38.7%
2 2642
21.6%
1 1833
 
15.0%
3 1025
 
8.4%
5 543
 
4.4%
4 472
 
3.9%
7 282
 
2.3%
6 246
 
2.0%
8 233
 
1.9%
9 224
 
1.8%
Other Letter
ValueCountFrequency (%)
년 1529
33.3%
월 1529
33.3%
일 1529
33.3%
Space Separator
ValueCountFrequency (%)
3129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15361
77.0%
Hangul 4587
 
23.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4732
30.8%
3129
20.4%
2 2642
17.2%
1 1833
 
11.9%
3 1025
 
6.7%
5 543
 
3.5%
4 472
 
3.1%
7 282
 
1.8%
6 246
 
1.6%
8 233
 
1.5%
Hangul
ValueCountFrequency (%)
년 1529
33.3%
월 1529
33.3%
일 1529
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15361
77.0%
Hangul 4587
 
23.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4732
30.8%
3129
20.4%
2 2642
17.2%
1 1833
 
11.9%
3 1025
 
6.7%
5 543
 
3.5%
4 472
 
3.1%
7 282
 
1.8%
6 246
 
1.6%
8 233
 
1.5%
Hangul
ValueCountFrequency (%)
년 1529
33.3%
월 1529
33.3%
일 1529
33.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.6 KiB
Minimum2021-05-17 00:00:00
Maximum2021-05-17 00:00:00
2023-12-12T15:55:08.759534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:08.853225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

인허가관리번호상호대표자사업자등록번호전화번호신고일공사명생활계구분폐기물 종류배출량(톤)운반자운반량(톤)처리구분처리업소명처리방법처리량(톤/연)사업장도로명주소사업장지번주소업무구분성상구분폐기물자가처리방법공사시작일자공사종료일자데이터기준일자
04310000-32-2021-00010진달래주식회사안승규531-87-00295'033-441-45232021 년05 월12 일2권역(광덕초외 10교)수목관리공사배출시설계그 밖의 폐목재류13.0(주)춘일실업13.0위탁(주)이현에너지재활용(연료·고형연료제품 제조)13.0강원도 화천군 사내면 사내로 10-15_ 진달래(주)_나들목기사식당_이태리안경원_강원도 화천군 사내면 사창리 418-2 진달래(주)_나들목기사식당_이태리안경원_사업장폐기물배출자(2-2호)고상재활용(연료·고형연료제품 제조)2021년 05월 10일2021년 10월 31일2021-05-17
14310000-32-2021-00009(주)남광토건김근영120-81-01995'02301101142021 년04 월13 일지방도 461호선 구만~오음간 도로 확장공사배출시설계임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)3506.0화천중기3506.0위탁유촌리 산림바이오매스센터중간처분(파쇄.분쇄)3506.0경기도 용인시 기흥구 흥덕중앙로 120_ U-TOWER (영덕동)경기도 용인시 기흥구 영덕동 1029 U-TOWER사업장폐기물배출자(2-2호)중간처분(파쇄.분쇄)2019년 10월 30일2024년 10월 02일2021-05-17
24310000-32-2021-00008(주)스틸엔우드박영선225-81-18961-2021 년04 월01 일154kv 화천S/S 외장재 교체공사생활계폐합성수지류(폐염화비닐수지류는 제외한다)15.0(주)다원환경15.0위탁(주)다원환경재활용(중간가공폐기물 제조)15.0강원도 정선군 정선읍 서동로 1240강원도 정선군 정선읍 덕송리 536-4사업장폐기물배출자(2-2호)재활용(중간가공폐기물 제조)2021년 03월 02일2021년 08월 18일2021-05-17
34310000-32-2021-00007(주)인성토건봉인숙707-86-01953'02-2664-85592021 년03 월19 일제1288부대 주둔지 울타리 보강공사생활계임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)50.0(주)화현에너지50.0위탁(주)화현에너지재활용(중간가공폐기물 제조)50.0서울특별시 강서구 초원로 75_ 성원빌딩 2층층 203호호 (방화동)서울특별시 강서구 방화동 247-110 성원빌딩사업장폐기물배출자(2-2호)재활용(중간가공폐기물 제조)2021년 03월 18일2021년 03월 27일2021-05-17
44310000-32-2021-00006유비텔레콤이연점224-81-30166'033-735-55662021 년03 월12 일2021년 설비이전 연간단가 선로공사(화천)배출시설계그 밖의 폐합성고분자화합물(합성수지류로 피복된 폐전선을 포함한다)40.0(주)영재환경산업40.0위탁(주)영재재활용(중간가공폐기물 제조)40.0강원도 원주시 북원로2685번길 33 (태장동)강원도 원주시 태장동 2695-3사업장폐기물배출자(2-2호)고상재활용(중간가공폐기물 제조)2021년 02월 26일2021년 12월 20일2021-05-17
54310000-32-2021-00005대웅건설여광오127-81-50406-2021 년03 월04 일수방선(사내216호선)농어촌도로 개설공사 폐목재처리배출시설계그 밖의 폐목재류62.0(주)나무야62.0위탁(주)이현에너지재활용(연료·고형연료제품 제조)62.0강원도 춘천시 공지로 216_ 가동 1층 (효자동)강원도 춘천시 효자동 223-1사업장폐기물배출자(2-2호)고상재활용(연료·고형연료제품 제조)2020년 12월 29일2021년 06월 26일2021-05-17
64310000-32-2021-00004대영씨엔이정성구---2021 년01 월27 일화천군 생활폐기물 소각시설 설치사업 중 임목폐기물처리배출시설계임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)82.0에이치에너지(주)82.0위탁에이치에너지(주)재활용(직접 제품제조)82.0강원도 강릉시 사천면 과학단지로 202-25강원도 강릉시 사천면 방동리 803-6사업장폐기물배출자(2-2호)고상재활용(직접 제품제조)2021년 01월 21일2021년 02월 25일2021-05-17
74310000-32-2021-00003유비텔레콤이연점224-81-30166'033-735-55662021 년01 월12 일2021년 설비이전 총액단가 선로공사 선행(화천)배출시설계그 밖의 폐합성고분자화합물(합성수지류로 피복된 폐전선을 포함한다)0.0영재환경산업(주)0.0위탁재활용(중간가공폐기물 제조)0.0강원도 원주시 북원로2685번길 33 (태장동)강원도 원주시 태장동 2695-3사업장폐기물배출자(2-2호)고상재활용(중간가공폐기물 제조)2020년 12월 31일2021년 03월 31일2021-05-17
84310000-32-2021-00002덕한건설하만석515-81-20088'2021 년01 월08 일오피스텔 신축공사배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)20.0호수환경20.0위탁(주)대광에코텍중간처분(파쇄.분쇄)20.0경상남도 김해시 진영읍 김해대로365번길 20경상남도 김해시 진영읍 진영리 1613-2사업장폐기물배출자(2-2호)중간처분(파쇄.분쇄)2020년 12월 31일2021년 05월 31일2021-05-17
94310000-32-2021-00001평산종합건설(합자)신용섭302-81-05555'02-2664-85592021 년01 월04 일00부대 주둔지 울타리 보강공사(본공사)배출시설계임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)65.0청명산업65.0위탁청명산업재활용(농업생산활동에 사용)65.0강원도 원주시 흥업면 광터길 1강원도 원주시 흥업면 사제리 1247사업장폐기물배출자(2-2호)재활용(농업생산활동에 사용)2020년 12월 28일2021년 01월 15일2021-05-17
인허가관리번호상호대표자사업자등록번호전화번호신고일공사명생활계구분폐기물 종류배출량(톤)운반자운반량(톤)처리구분처리업소명처리방법처리량(톤/연)사업장도로명주소사업장지번주소업무구분성상구분폐기물자가처리방법공사시작일자공사종료일자데이터기준일자
15904310000-32-2000-00009코오롱건설(주)최완근120-81-50012'2000 년05 월02 일하오터널개설 도로확포장공사폐아스팔트1400.0자가처리1400.0자가자가재활용(파쇄.분쇄)1400.0강원도 화천군 사내면 광덕리 사내-잠곡간(하오터널개설)도로확포장사업장폐기물배출자(2-2호)재활용(파쇄.분쇄)2000년 05월 02일2002년 12월 31일2021-05-17
15914310000-32-2000-00009코오롱건설(주)최완근120-81-50012'2000 년05 월02 일하오터널개설 도로확포장공사건설폐기물300.0자가처리300.0자가자가재활용(파쇄.분쇄)300.0강원도 화천군 사내면 광덕리 사내-잠곡간(하오터널개설)도로확포장사업장폐기물배출자(2-2호)재활용(파쇄.분쇄)2000년 05월 02일2002년 12월 31일2021-05-17
15924310000-32-2000-00008(주)삼우종합건설최동순226-81-07676'2000 년04 월24 일평화의댐 안보전시관 신축공사0.00.00.0강원도 화천군 화천읍 동촌리 산321-4번지사업장폐기물배출자(2-2호)2000년 04월 01일2000년 10월 31일2021-05-17
15934310000-32-2000-00007국제종합건설(주)김승민604-81-15788'2000 년04 월25 일붕어섬앞 우회도로 건설공사0.00.00.0강원도 화천군 화천읍 하리 붕어섬앞 우회도로 건설공사사업장폐기물배출자(2-2호)2000년 04월 24일2000년 11월 20일2021-05-17
15944310000-32-2000-00006동일건설(주)황주철221-81-00339'2000 년04 월22 일상서면 다목리 수피령 국도56호 다목지구0.00.00.0강원도 화천군 상서면 다목리 수피령 국도56호 다목지구 수해복구공사사업장폐기물배출자(2-2호)2000년 04월 01일2000년 12월 31일2021-05-17
15954310000-32-2000-00005백강건설(주)김윤식221-81-08215'2000 년04 월06 일하남면 원천리일대 국도5호선 도로개량공사0.00.00.0강원도 화천군 하남면 원천리 일대 국도5호선 원천지구 위험도로개량공사사업장폐기물배출자(2-2호)2000년 03월 04일2000년 12월 31일2021-05-17
15964310000-32-2000-00004대세건설(주)박찬동222-81-02475'2000 년03 월18 일화천읍 상리 우회도로 지방도461호 3차개설공사0.00.00.0강원도 화천군 화천읍 상리 우회도로(지방도461호)3차 개설공사사업장폐기물배출자(2-2호)2000년 03월 17일2000년 12월 31일2021-05-17
15974310000-32-2000-00003(주)한석종합건설신현광224-81-08951'2000 년03 월15 일상서면 다목2리 소교량 수해복구공사0.00.00.0강원도 화천군 상서면 다목리 2리 소교량 수해복구공사사업장폐기물배출자(2-2호)2000년 01월 08일2000년 11월 12일2021-05-17
15984310000-32-2000-00002(합)대유종합건설221-81-10569'2000 년01 월08 일상서면 부촌리 국도5호선 부촌리지구 수해복구폐콘크리트12.00.00.0강원도 화천군 상서면 부촌리 일대 국도5호선 부촌리지구 수해복구공사사업장폐기물배출자(2-2호)2000년 01월 08일2000년 01월 08일2021-05-17
15994310000-32-2000-00001(합)유진포장건설221-81-12010'033 256 23902000 년01 월08 일화천읍 상2리일대 3초소-동지화(지방도461)도로0.00.00.0강원도 화천군 화천읍 상리사업장폐기물배출자(2-2호)2000년 01월 04일2000년 02월 28일2021-05-17

Duplicate rows

Most frequently occurring

인허가관리번호상호대표자사업자등록번호전화번호신고일공사명생활계구분폐기물 종류배출량(톤)운반자운반량(톤)처리구분처리업소명처리방법처리량(톤/연)사업장도로명주소사업장지번주소업무구분성상구분폐기물자가처리방법공사시작일자공사종료일자데이터기준일자# duplicates
04310000-32-2005-00093전인석--'2005 년07 월05 일전인석건설폐기물15.0강토개발(주)15.0위탁강토개발(주)재활용(파쇄.분쇄)15.0강원도 화천군 화천읍 하리 100-5사업장폐기물배출자(2-2호)재활용(파쇄.분쇄)2005년 06월 30일2005년 07월 01일2021-05-172