Overview

Dataset statistics

Number of variables21
Number of observations1171
Missing cells8321
Missing cells (%)33.8%
Duplicate rows3
Duplicate rows (%)0.3%
Total size in memory201.4 KiB
Average record size in memory176.1 B

Variable types

Categorical5
Text6
DateTime2
Unsupported3
Numeric5

Dataset

Description건설폐기물 처리업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=ZWF17K0I98WT7R5GJ4NK77718&infSeq=1

Alerts

환경업무구분명 has constant value ""Constant
Dataset has 3 (0.3%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (64.3%)Imbalance
폐기물처리업구분명 is highly imbalanced (59.7%)Imbalance
인허가취소일자 has 1171 (100.0%) missing valuesMissing
폐업일자 has 998 (85.2%) missing valuesMissing
소재지시설전화번호 has 855 (73.0%) missing valuesMissing
소재지면적정보 has 1171 (100.0%) missing valuesMissing
도로명우편번호 has 787 (67.2%) missing valuesMissing
소재지도로명주소 has 69 (5.9%) missing valuesMissing
WGS84위도 has 25 (2.1%) missing valuesMissing
WGS84경도 has 25 (2.1%) missing valuesMissing
업태구분명정보 has 1171 (100.0%) missing valuesMissing
X좌표값 has 758 (64.7%) missing valuesMissing
Y좌표값 has 758 (64.7%) missing valuesMissing
허용보관량 has 516 (44.1%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
허용보관량 has 516 (44.1%) zerosZeros

Reproduction

Analysis started2023-12-10 22:30:48.084606
Analysis finished2023-12-10 22:30:48.861434
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
화성시
104 
안산시
104 
고양시
101 
의정부시
75 
남양주시
74 
Other values (26)
713 

Length

Max length4
Median length3
Mean length3.1426132
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 104
 
8.9%
안산시 104
 
8.9%
고양시 101
 
8.6%
의정부시 75
 
6.4%
남양주시 74
 
6.3%
수원시 69
 
5.9%
성남시 56
 
4.8%
김포시 52
 
4.4%
평택시 46
 
3.9%
파주시 46
 
3.9%
Other values (21) 444
37.9%

Length

2023-12-11T07:30:48.915141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 104
 
8.9%
안산시 104
 
8.9%
고양시 101
 
8.6%
의정부시 75
 
6.4%
남양주시 74
 
6.3%
수원시 69
 
5.9%
성남시 56
 
4.8%
김포시 52
 
4.4%
평택시 46
 
3.9%
파주시 46
 
3.9%
Other values (21) 444
37.9%

사업장명
Text

Distinct829
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2023-12-11T07:30:49.135385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length7.1520068
Min length1

Characters and Unicode

Total characters8375
Distinct characters314
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

Unique605 ?
Unique (%)51.7%

Sample

1st row화성환경
2nd row(주)가남환경
3rd row(주)협신
4th row(주)가남환경
5th row청풍중기
ValueCountFrequency (%)
주식회사 41
 
3.3%
0 33
 
2.7%
주)오성개발 8
 
0.7%
주)삼부이엔씨 5
 
0.4%
천보산업(주 5
 
0.4%
주)한솔산업 5
 
0.4%
삼환환경(주 5
 
0.4%
주)홍명산업 5
 
0.4%
주)동우개발 4
 
0.3%
하나케이(주 4
 
0.3%
Other values (829) 1115
90.7%
2023-12-11T07:30:49.477317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 917
 
10.9%
) 856
 
10.2%
( 856
 
10.2%
경 382
 
4.6%
환 366
 
4.4%
업 294
 
3.5%
산 287
 
3.4%
개 257
 
3.1%
발 249
 
3.0%
이 146
 
1.7%
Other values (304) 3765
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6505
77.7%
Close Punctuation 868
 
10.4%
Open Punctuation 868
 
10.4%
Space Separator 59
 
0.7%
Decimal Number 37
 
0.4%
Other Symbol 19
 
0.2%
Uppercase Letter 9
 
0.1%
Other Punctuation 7
 
0.1%
Connector Punctuation 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 917
 
14.1%
경 382
 
5.9%
환 366
 
5.6%
업 294
 
4.5%
산 287
 
4.4%
개 257
 
4.0%
발 249
 
3.8%
이 146
 
2.2%
건 144
 
2.2%
성 108
 
1.7%
Other values (288) 3355
51.6%
Decimal Number
ValueCountFrequency (%)
0 35
94.6%
2 1
 
2.7%
4 1
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
T 3
33.3%
N 3
33.3%
E 3
33.3%
Close Punctuation
ValueCountFrequency (%)
) 856
98.6%
] 12
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 856
98.6%
[ 12
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
· 2
 
28.6%
Space Separator
ValueCountFrequency (%)
59
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6524
77.9%
Common 1842
 
22.0%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 917
 
14.1%
경 382
 
5.9%
환 366
 
5.6%
업 294
 
4.5%
산 287
 
4.4%
개 257
 
3.9%
발 249
 
3.8%
이 146
 
2.2%
건 144
 
2.2%
성 108
 
1.7%
Other values (289) 3374
51.7%
Common
ValueCountFrequency (%)
) 856
46.5%
( 856
46.5%
59
 
3.2%
0 35
 
1.9%
] 12
 
0.7%
[ 12
 
0.7%
. 5
 
0.3%
_ 2
 
0.1%
· 2
 
0.1%
2 1
 
0.1%
Other values (2) 2
 
0.1%
Latin
ValueCountFrequency (%)
T 3
33.3%
N 3
33.3%
E 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6505
77.7%
ASCII 1849
 
22.1%
None 21
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 917
 
14.1%
경 382
 
5.9%
환 366
 
5.6%
업 294
 
4.5%
산 287
 
4.4%
개 257
 
4.0%
발 249
 
3.8%
이 146
 
2.2%
건 144
 
2.2%
성 108
 
1.7%
Other values (288) 3355
51.6%
ASCII
ValueCountFrequency (%)
) 856
46.3%
( 856
46.3%
59
 
3.2%
0 35
 
1.9%
] 12
 
0.6%
[ 12
 
0.6%
. 5
 
0.3%
T 3
 
0.2%
N 3
 
0.2%
E 3
 
0.2%
Other values (4) 5
 
0.3%
None
ValueCountFrequency (%)
㈜ 19
90.5%
· 2
 
9.5%

인허가일자
Date

Distinct854
Distinct (%)73.0%
Missing1
Missing (%)0.1%
Memory size9.3 KiB
Minimum1994-09-04 00:00:00
Maximum2023-12-06 00:00:00
2023-12-11T07:30:49.604708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:30:49.731654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1171
Missing (%)100.0%
Memory size10.4 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
<NA>
742 
BBBB
410 
2
 
12
1
 
2
3
 
2
Other values (3)
 
3

Length

Max length4
Median length4
Mean length3.9513237
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 742
63.4%
BBBB 410
35.0%
2 12
 
1.0%
1 2
 
0.2%
3 2
 
0.2%
5 1
 
0.1%
0 1
 
0.1%
4 1
 
0.1%

Length

2023-12-11T07:30:49.844642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:30:49.945586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 742
63.4%
bbbb 410
35.0%
2 12
 
1.0%
1 2
 
0.2%
3 2
 
0.2%
5 1
 
0.1%
0 1
 
0.1%
4 1
 
0.1%

영업상태명
Categorical

Distinct9
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
운영중
571 
영업
411 
폐업 등
159 
휴업 등
 
12
폐업
 
12
Other values (4)
 
6

Length

Max length4
Median length3
Mean length2.7830914
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row영업
2nd row영업
3rd row운영중
4th row운영중
5th row폐업 등

Common Values

ValueCountFrequency (%)
운영중 571
48.8%
영업 411
35.1%
폐업 등 159
 
13.6%
휴업 등 12
 
1.0%
폐업 12
 
1.0%
휴업 2
 
0.2%
재개업 2
 
0.2%
제외사항 1
 
0.1%
폐쇄 1
 
0.1%

Length

2023-12-11T07:30:50.078153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:30:50.202559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 571
42.5%
영업 411
30.6%
폐업 171
 
12.7%
등 171
 
12.7%
휴업 14
 
1.0%
재개업 2
 
0.1%
제외사항 1
 
0.1%
폐쇄 1
 
0.1%

폐업일자
Date

MISSING 

Distinct123
Distinct (%)71.1%
Missing998
Missing (%)85.2%
Memory size9.3 KiB
Minimum2006-04-05 00:00:00
Maximum2023-11-08 00:00:00
2023-12-11T07:30:50.321340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:30:50.466785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct266
Distinct (%)84.2%
Missing855
Missing (%)73.0%
Memory size9.3 KiB
2023-12-11T07:30:50.671210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.927215
Min length7

Characters and Unicode

Total characters3453
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

Unique225 ?
Unique (%)71.2%

Sample

1st row02-3158-6221
2nd row0231581144
3rd row031-938-0812
4th row031- 962-7005
5th row0319761044
ValueCountFrequency (%)
031 7
 
2.1%
031-292-8644 3
 
0.9%
031-248-7041 3
 
0.9%
031-848-1988 3
 
0.9%
070-8867-1234 3
 
0.9%
0316328888 3
 
0.9%
031-759-0078 3
 
0.9%
0315736001 3
 
0.9%
4974474 3
 
0.9%
0318614368 3
 
0.9%
Other values (265) 299
89.8%
2023-12-11T07:30:51.009151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 509
14.7%
3 485
14.0%
1 475
13.8%
- 346
10.0%
8 277
8.0%
7 275
8.0%
4 233
6.7%
6 229
6.6%
5 226
6.5%
2 208
6.0%
Other values (2) 190
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3090
89.5%
Dash Punctuation 346
 
10.0%
Space Separator 17
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 509
16.5%
3 485
15.7%
1 475
15.4%
8 277
9.0%
7 275
8.9%
4 233
7.5%
6 229
7.4%
5 226
7.3%
2 208
6.7%
9 173
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 346
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3453
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 509
14.7%
3 485
14.0%
1 475
13.8%
- 346
10.0%
8 277
8.0%
7 275
8.0%
4 233
6.7%
6 229
6.6%
5 226
6.5%
2 208
6.0%
Other values (2) 190
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3453
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 509
14.7%
3 485
14.0%
1 475
13.8%
- 346
10.0%
8 277
8.0%
7 275
8.0%
4 233
6.7%
6 229
6.6%
5 226
6.5%
2 208
6.0%
Other values (2) 190
 
5.5%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1171
Missing (%)100.0%
Memory size10.4 KiB

도로명우편번호
Text

MISSING 

Distinct293
Distinct (%)76.3%
Missing787
Missing (%)67.2%
Memory size9.3 KiB
2023-12-11T07:30:51.359290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.328125
Min length5

Characters and Unicode

Total characters2046
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

Unique233 ?
Unique (%)60.7%

Sample

1st row12451
2nd row10401
3rd row10338
4th row10440
5th row10497
ValueCountFrequency (%)
18269 5
 
1.3%
12129 5
 
1.3%
17909 5
 
1.3%
14623 4
 
1.0%
11023 4
 
1.0%
11426 4
 
1.0%
10945 3
 
0.8%
11786 3
 
0.8%
441-849 3
 
0.8%
16440 3
 
0.8%
Other values (283) 345
89.8%
2023-12-11T07:30:51.842010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 484
23.7%
4 248
12.1%
0 217
10.6%
5 192
 
9.4%
8 177
 
8.7%
2 167
 
8.2%
6 162
 
7.9%
3 135
 
6.6%
9 101
 
4.9%
7 100
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1983
96.9%
Dash Punctuation 63
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 484
24.4%
4 248
12.5%
0 217
10.9%
5 192
 
9.7%
8 177
 
8.9%
2 167
 
8.4%
6 162
 
8.2%
3 135
 
6.8%
9 101
 
5.1%
7 100
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2046
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 484
23.7%
4 248
12.1%
0 217
10.6%
5 192
 
9.4%
8 177
 
8.7%
2 167
 
8.2%
6 162
 
7.9%
3 135
 
6.6%
9 101
 
4.9%
7 100
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2046
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 484
23.7%
4 248
12.1%
0 217
10.6%
5 192
 
9.4%
8 177
 
8.7%
2 167
 
8.2%
6 162
 
7.9%
3 135
 
6.6%
9 101
 
4.9%
7 100
 
4.9%

소재지도로명주소
Text

MISSING 

Distinct871
Distinct (%)79.0%
Missing69
Missing (%)5.9%
Memory size9.3 KiB
2023-12-11T07:30:52.351156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46
Mean length28.795826
Min length14

Characters and Unicode

Total characters31733
Distinct characters405
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

Unique710 ?
Unique (%)64.4%

Sample

1st row경기도 가평군 청평면 경춘로 871, 네오오피스텔 5층 503-10호
2nd row경기도 가평군 가평읍 상천고갯길 244
3rd row경기도 가평군 상면 물골길 84-50
4th row경기도 가평군 가평읍 상천고갯길 244
5th row경기도 가평군 가평읍 가화로 26-9
ValueCountFrequency (%)
경기도 1102
 
16.3%
안산시 99
 
1.5%
화성시 98
 
1.4%
고양시 95
 
1.4%
2층 70
 
1.0%
의정부시 70
 
1.0%
수원시 66
 
1.0%
남양주시 63
 
0.9%
단원구 53
 
0.8%
성남시 52
 
0.8%
Other values (1920) 4999
73.9%
2023-12-11T07:30:52.874481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5734
 
18.1%
1 1171
 
3.7%
경 1145
 
3.6%
도 1145
 
3.6%
시 1133
 
3.6%
기 1124
 
3.5%
로 973
 
3.1%
동 925
 
2.9%
2 877
 
2.8%
) 760
 
2.4%
Other values (395) 16746
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17771
56.0%
Space Separator 5734
 
18.1%
Decimal Number 5633
 
17.8%
Close Punctuation 760
 
2.4%
Open Punctuation 760
 
2.4%
Other Punctuation 636
 
2.0%
Dash Punctuation 371
 
1.2%
Uppercase Letter 48
 
0.2%
Lowercase Letter 14
 
< 0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 1145
 
6.4%
도 1145
 
6.4%
시 1133
 
6.4%
기 1124
 
6.3%
로 973
 
5.5%
동 925
 
5.2%
길 444
 
2.5%
호 413
 
2.3%
구 386
 
2.2%
양 357
 
2.0%
Other values (353) 9726
54.7%
Uppercase Letter
ValueCountFrequency (%)
I 9
18.8%
A 7
14.6%
B 6
12.5%
L 4
8.3%
D 3
 
6.2%
K 3
 
6.2%
S 3
 
6.2%
T 3
 
6.2%
E 2
 
4.2%
X 1
 
2.1%
Other values (7) 7
14.6%
Decimal Number
ValueCountFrequency (%)
1 1171
20.8%
2 877
15.6%
3 644
11.4%
0 614
10.9%
5 505
9.0%
4 463
 
8.2%
7 400
 
7.1%
6 381
 
6.8%
9 290
 
5.1%
8 288
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
b 4
28.6%
c 3
21.4%
e 3
21.4%
r 1
 
7.1%
t 1
 
7.1%
n 1
 
7.1%
h 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 635
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
5734
100.0%
Close Punctuation
ValueCountFrequency (%)
) 760
100.0%
Open Punctuation
ValueCountFrequency (%)
( 760
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 371
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17771
56.0%
Common 13899
43.8%
Latin 63
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 1145
 
6.4%
도 1145
 
6.4%
시 1133
 
6.4%
기 1124
 
6.3%
로 973
 
5.5%
동 925
 
5.2%
길 444
 
2.5%
호 413
 
2.3%
구 386
 
2.2%
양 357
 
2.0%
Other values (353) 9726
54.7%
Latin
ValueCountFrequency (%)
I 9
14.3%
A 7
 
11.1%
B 6
 
9.5%
b 4
 
6.3%
L 4
 
6.3%
D 3
 
4.8%
c 3
 
4.8%
K 3
 
4.8%
e 3
 
4.8%
S 3
 
4.8%
Other values (15) 18
28.6%
Common
ValueCountFrequency (%)
5734
41.3%
1 1171
 
8.4%
2 877
 
6.3%
) 760
 
5.5%
( 760
 
5.5%
3 644
 
4.6%
, 635
 
4.6%
0 614
 
4.4%
5 505
 
3.6%
4 463
 
3.3%
Other values (7) 1736
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17771
56.0%
ASCII 13961
44.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5734
41.1%
1 1171
 
8.4%
2 877
 
6.3%
) 760
 
5.4%
( 760
 
5.4%
3 644
 
4.6%
, 635
 
4.5%
0 614
 
4.4%
5 505
 
3.6%
4 463
 
3.3%
Other values (31) 1798
 
12.9%
Hangul
ValueCountFrequency (%)
경 1145
 
6.4%
도 1145
 
6.4%
시 1133
 
6.4%
기 1124
 
6.3%
로 973
 
5.5%
동 925
 
5.2%
길 444
 
2.5%
호 413
 
2.3%
구 386
 
2.2%
양 357
 
2.0%
Other values (353) 9726
54.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

소재지지번주소
Text

Distinct1030
Distinct (%)88.4%
Missing6
Missing (%)0.5%
Memory size9.3 KiB
2023-12-11T07:30:53.182595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length61
Mean length25.143348
Min length11

Characters and Unicode

Total characters29292
Distinct characters357
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

Unique928 ?
Unique (%)79.7%

Sample

1st row경기도 가평군 청평면 청평리 301-4 네오오피스텔
2nd row경기도 가평군 가평읍 상색리 348-1
3rd row경기도 가평군 상면 봉수리 15-2번지
4th row경기도 가평군 가평읍 상색리 348-1번지
5th row경기도 가평군 가평읍 대곡리 209-2번지
ValueCountFrequency (%)
경기도 1165
 
18.7%
안산시 104
 
1.7%
화성시 104
 
1.7%
고양시 101
 
1.6%
의정부시 75
 
1.2%
남양주시 73
 
1.2%
수원시 69
 
1.1%
성남시 54
 
0.9%
단원구 54
 
0.9%
덕양구 53
 
0.8%
Other values (1909) 4390
70.3%
2023-12-11T07:30:53.743155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5464
 
18.7%
1 1224
 
4.2%
도 1195
 
4.1%
시 1178
 
4.0%
기 1172
 
4.0%
경 1167
 
4.0%
- 1087
 
3.7%
동 935
 
3.2%
2 864
 
2.9%
지 817
 
2.8%
Other values (347) 14189
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16410
56.0%
Decimal Number 6086
 
20.8%
Space Separator 5464
 
18.7%
Dash Punctuation 1087
 
3.7%
Other Punctuation 151
 
0.5%
Uppercase Letter 34
 
0.1%
Close Punctuation 23
 
0.1%
Open Punctuation 23
 
0.1%
Lowercase Letter 9
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 1195
 
7.3%
시 1178
 
7.2%
기 1172
 
7.1%
경 1167
 
7.1%
동 935
 
5.7%
지 817
 
5.0%
번 731
 
4.5%
리 443
 
2.7%
구 394
 
2.4%
양 371
 
2.3%
Other values (309) 8007
48.8%
Uppercase Letter
ValueCountFrequency (%)
I 6
17.6%
B 5
14.7%
A 4
11.8%
S 3
8.8%
D 3
8.8%
L 3
8.8%
E 2
 
5.9%
K 2
 
5.9%
V 1
 
2.9%
J 1
 
2.9%
Other values (4) 4
11.8%
Decimal Number
ValueCountFrequency (%)
1 1224
20.1%
2 864
14.2%
3 651
10.7%
4 579
9.5%
0 556
9.1%
5 518
8.5%
7 472
 
7.8%
6 469
 
7.7%
8 411
 
6.8%
9 342
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
c 2
22.2%
n 1
 
11.1%
r 1
 
11.1%
t 1
 
11.1%
b 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 150
99.3%
. 1
 
0.7%
Space Separator
ValueCountFrequency (%)
5464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1087
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16410
56.0%
Common 12838
43.8%
Latin 44
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 1195
 
7.3%
시 1178
 
7.2%
기 1172
 
7.1%
경 1167
 
7.1%
동 935
 
5.7%
지 817
 
5.0%
번 731
 
4.5%
리 443
 
2.7%
구 394
 
2.4%
양 371
 
2.3%
Other values (309) 8007
48.8%
Latin
ValueCountFrequency (%)
I 6
13.6%
B 5
11.4%
A 4
 
9.1%
S 3
 
6.8%
D 3
 
6.8%
e 3
 
6.8%
L 3
 
6.8%
E 2
 
4.5%
K 2
 
4.5%
c 2
 
4.5%
Other values (11) 11
25.0%
Common
ValueCountFrequency (%)
5464
42.6%
1 1224
 
9.5%
- 1087
 
8.5%
2 864
 
6.7%
3 651
 
5.1%
4 579
 
4.5%
0 556
 
4.3%
5 518
 
4.0%
7 472
 
3.7%
6 469
 
3.7%
Other values (7) 954
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16410
56.0%
ASCII 12881
44.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5464
42.4%
1 1224
 
9.5%
- 1087
 
8.4%
2 864
 
6.7%
3 651
 
5.1%
4 579
 
4.5%
0 556
 
4.3%
5 518
 
4.0%
7 472
 
3.7%
6 469
 
3.6%
Other values (27) 997
 
7.7%
Hangul
ValueCountFrequency (%)
도 1195
 
7.3%
시 1178
 
7.2%
기 1172
 
7.1%
경 1167
 
7.1%
동 935
 
5.7%
지 817
 
5.0%
번 731
 
4.5%
리 443
 
2.7%
구 394
 
2.4%
양 371
 
2.3%
Other values (309) 8007
48.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

소재지우편번호
Text

Distinct774
Distinct (%)66.7%
Missing10
Missing (%)0.9%
Memory size9.3 KiB
2023-12-11T07:30:54.123768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6124031
Min length5

Characters and Unicode

Total characters6516
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

Unique541 ?
Unique (%)46.6%

Sample

1st row12451
2nd row12426
3rd row477822
4th row477806
5th row477804
ValueCountFrequency (%)
472835 23
 
2.0%
472863 10
 
0.9%
16602 9
 
0.8%
480010 8
 
0.7%
426807 6
 
0.5%
12129 6
 
0.5%
17909 5
 
0.4%
462110 5
 
0.4%
425906 5
 
0.4%
10945 5
 
0.4%
Other values (764) 1079
92.9%
2023-12-11T07:30:54.648736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1191
18.3%
4 1063
16.3%
0 838
12.9%
8 654
10.0%
2 625
9.6%
5 530
8.1%
3 459
 
7.0%
6 456
 
7.0%
7 323
 
5.0%
9 257
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6396
98.2%
Dash Punctuation 120
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1191
18.6%
4 1063
16.6%
0 838
13.1%
8 654
10.2%
2 625
9.8%
5 530
8.3%
3 459
 
7.2%
6 456
 
7.1%
7 323
 
5.1%
9 257
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1191
18.3%
4 1063
16.3%
0 838
12.9%
8 654
10.0%
2 625
9.6%
5 530
8.1%
3 459
 
7.0%
6 456
 
7.0%
7 323
 
5.0%
9 257
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1191
18.3%
4 1063
16.3%
0 838
12.9%
8 654
10.0%
2 625
9.6%
5 530
8.1%
3 459
 
7.0%
6 456
 
7.0%
7 323
 
5.0%
9 257
 
3.9%

WGS84위도
Real number (ℝ)

MISSING 

Distinct813
Distinct (%)70.9%
Missing25
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean37.46502
Minimum36.918257
Maximum38.035136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2023-12-11T07:30:54.796062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.918257
5-th percentile37.071092
Q137.274904
median37.431202
Q337.678427
95-th percentile37.865259
Maximum38.035136
Range1.1168791
Interquartile range (IQR)0.40352336

Descriptive statistics

Standard deviation0.24942152
Coefficient of variation (CV)0.0066574507
Kurtosis-0.93468673
Mean37.46502
Median Absolute Deviation (MAD)0.2035243
Skewness0.079063574
Sum42934.913
Variance0.062211096
MonotonicityNot monotonic
2023-12-11T07:30:54.920216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.67842715 15
 
1.3%
37.2555893887 9
 
0.8%
37.4281129357 7
 
0.6%
38.0078166572 7
 
0.6%
36.9919640634 5
 
0.4%
37.7024363515 5
 
0.4%
37.2791836586 4
 
0.3%
37.4892468771 4
 
0.3%
37.6493560191 4
 
0.3%
37.9081124147 4
 
0.3%
Other values (803) 1082
92.4%
(Missing) 25
 
2.1%
ValueCountFrequency (%)
36.9182573487 2
0.2%
36.9430672243 1
 
0.1%
36.9464213557 2
0.2%
36.9593491125 3
0.3%
36.9772934048 1
 
0.1%
36.9825206714 1
 
0.1%
36.9867483085 2
0.2%
36.9888492959 1
 
0.1%
36.9899767784 1
 
0.1%
36.9910609219 1
 
0.1%
ValueCountFrequency (%)
38.0351364183 1
 
0.1%
38.0218115479 2
 
0.2%
38.020929198 1
 
0.1%
38.0078166572 7
0.6%
37.9983669782 3
0.3%
37.984300834 1
 
0.1%
37.9665110486 1
 
0.1%
37.9540070656 2
 
0.2%
37.943147343 1
 
0.1%
37.938903906 1
 
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct813
Distinct (%)70.9%
Missing25
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean126.99909
Minimum126.5641
Maximum127.76243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2023-12-11T07:30:55.039234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5641
5-th percentile126.72908
Q1126.83247
median126.97453
Q3127.12662
95-th percentile127.51053
Maximum127.76243
Range1.1983368
Interquartile range (IQR)0.2941469

Descriptive statistics

Standard deviation0.22621799
Coefficient of variation (CV)0.0017812568
Kurtosis1.4246423
Mean126.99909
Median Absolute Deviation (MAD)0.14386115
Skewness1.0569957
Sum145540.96
Variance0.051174577
MonotonicityNot monotonic
2023-12-11T07:30:55.165360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2004857177 15
 
1.3%
126.9862067447 9
 
0.8%
127.1455152729 7
 
0.6%
127.0762187205 7
 
0.6%
127.0885628709 5
 
0.4%
127.1790394641 5
 
0.4%
127.0064072367 4
 
0.3%
126.7563634523 4
 
0.3%
127.2452666256 4
 
0.3%
127.0256920266 4
 
0.3%
Other values (803) 1082
92.4%
(Missing) 25
 
2.1%
ValueCountFrequency (%)
126.5640961729 2
0.2%
126.5654547471 1
 
0.1%
126.5658085734 1
 
0.1%
126.5701909194 3
0.3%
126.576274882 2
0.2%
126.579871583 1
 
0.1%
126.581709368 1
 
0.1%
126.5828469393 1
 
0.1%
126.5863787488 2
0.2%
126.5865846363 1
 
0.1%
ValueCountFrequency (%)
127.7624330111 2
0.2%
127.7499804963 1
 
0.1%
127.7395097526 1
 
0.1%
127.7233803579 1
 
0.1%
127.7159401627 2
0.2%
127.7152821341 2
0.2%
127.7086014918 1
 
0.1%
127.7003846257 2
0.2%
127.6839533227 1
 
0.1%
127.6699806533 4
0.3%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1171
Missing (%)100.0%
Memory size10.4 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct342
Distinct (%)82.8%
Missing758
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean200022.4
Minimum161472.82
Maximum267436.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2023-12-11T07:30:55.288290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum161472.82
5-th percentile175751.99
Q1184544.34
median196996.75
Q3210125.94
95-th percentile247474.46
Maximum267436.19
Range105963.37
Interquartile range (IQR)25581.603

Descriptive statistics

Standard deviation21238.329
Coefficient of variation (CV)0.10617975
Kurtosis1.1337982
Mean200022.4
Median Absolute Deviation (MAD)12571.326
Skewness1.0813254
Sum82609249
Variance4.5106661 × 108
MonotonicityNot monotonic
2023-12-11T07:30:55.444145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207810.302859873 5
 
0.4%
178383.5071659 4
 
0.3%
244288.810708433 3
 
0.3%
200498.534789858 3
 
0.3%
198613.570371955 3
 
0.3%
207430.419467525 3
 
0.3%
212809.84680222 3
 
0.3%
206447.475841143 3
 
0.3%
177342.629862021 3
 
0.3%
196476.197392831 3
 
0.3%
Other values (332) 380
32.5%
(Missing) 758
64.7%
ValueCountFrequency (%)
161472.816039805 1
0.1%
162121.26146686 1
0.1%
162565.538628821 1
0.1%
162877.619427273 1
0.1%
163445.003580453 1
0.1%
164426.004271468 1
0.1%
164578.338592074 1
0.1%
165024.351378515 1
0.1%
166415.575738872 1
0.1%
166714.986493674 1
0.1%
ValueCountFrequency (%)
267436.186042108 1
0.1%
263454.204146541 1
0.1%
263438.287917685 1
0.1%
262543.655508251 1
0.1%
259167.735108567 1
0.1%
259105.015514952 2
0.2%
258990.573294146 1
0.1%
258869.152120946 1
0.1%
258702.453306342 1
0.1%
258207.992379548 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct342
Distinct (%)82.8%
Missing758
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean437418.07
Minimum379739.94
Maximum502079.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2023-12-11T07:30:55.792674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379739.94
5-th percentile392243.89
Q1412632.9
median431604.76
Q3464046.63
95-th percentile486642.69
Maximum502079.75
Range122339.81
Interquartile range (IQR)51413.732

Descriptive statistics

Standard deviation29767.275
Coefficient of variation (CV)0.06805223
Kurtosis-1.0341668
Mean437418.07
Median Absolute Deviation (MAD)24050.612
Skewness0.19693748
Sum1.8065366 × 108
Variance8.8609067 × 108
MonotonicityNot monotonic
2023-12-11T07:30:55.916455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387830.462917531 5
 
0.4%
443033.191916854 4
 
0.3%
408917.352134452 3
 
0.3%
419695.038830301 3
 
0.3%
417039.040348815 3
 
0.3%
470533.617368556 3
 
0.3%
436227.741509494 3
 
0.3%
411021.948564702 3
 
0.3%
431548.042997488 3
 
0.3%
415216.177824779 3
 
0.3%
Other values (332) 380
32.5%
(Missing) 758
64.7%
ValueCountFrequency (%)
379739.939134565 1
 
0.1%
382403.502726297 1
 
0.1%
382767.2502787 1
 
0.1%
384218.640121384 2
 
0.2%
387473.130854887 1
 
0.1%
387595.584392847 1
 
0.1%
387728.389681269 1
 
0.1%
387784.096555684 1
 
0.1%
387798.244274522 2
 
0.2%
387830.462917531 5
0.4%
ValueCountFrequency (%)
502079.752102211 1
0.1%
500470.546322402 1
0.1%
500461.190954334 1
0.1%
500261.130042022 1
0.1%
500127.327114574 1
0.1%
499381.918120758 2
0.2%
494599.279323644 1
0.1%
493386.162826702 1
0.1%
492921.19161683 1
0.1%
489495.941549355 1
0.1%

환경업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
건설폐기물처리업사업계획(허가)신청
1171 

Length

Max length18
Median length18
Mean length18
Min length18

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건설폐기물처리업사업계획(허가)신청
2nd row건설폐기물처리업사업계획(허가)신청
3rd row건설폐기물처리업사업계획(허가)신청
4th row건설폐기물처리업사업계획(허가)신청
5th row건설폐기물처리업사업계획(허가)신청

Common Values

ValueCountFrequency (%)
건설폐기물처리업사업계획(허가)신청 1171
100.0%

Length

2023-12-11T07:30:56.026402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:30:56.101465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건설폐기물처리업사업계획(허가)신청 1171
100.0%

폐기물처리업구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
수집운반업(건설폐기물)
960 
중간처분업(건설폐기물)
176 
<NA>
 
33
수집운반업(배출시설계폐기물)
 
2

Length

Max length15
Median length12
Mean length11.779675
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수집운반업(건설폐기물)
2nd row중간처분업(건설폐기물)
3rd row중간처분업(건설폐기물)
4th row중간처분업(건설폐기물)
5th row수집운반업(건설폐기물)

Common Values

ValueCountFrequency (%)
수집운반업(건설폐기물) 960
82.0%
중간처분업(건설폐기물) 176
 
15.0%
<NA> 33
 
2.8%
수집운반업(배출시설계폐기물) 2
 
0.2%

Length

2023-12-11T07:30:56.203344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:30:56.310313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수집운반업(건설폐기물 960
82.0%
중간처분업(건설폐기물 176
 
15.0%
na 33
 
2.8%
수집운반업(배출시설계폐기물 2
 
0.2%

허용보관량
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)12.8%
Missing516
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean3950.0332
Minimum0
Maximum63360
Zeros516
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2023-12-11T07:30:56.426203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile28060
Maximum63360
Range63360
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10113.808
Coefficient of variation (CV)2.5604362
Kurtosis9.1235176
Mean3950.0332
Median Absolute Deviation (MAD)0
Skewness2.9984997
Sum2587271.8
Variance1.0228911 × 108
MonotonicityNot monotonic
2023-12-11T07:30:56.564641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 516
44.1%
20000.0 10
 
0.9%
1.0 7
 
0.6%
16000.0 6
 
0.5%
8000.0 5
 
0.4%
10000.0 4
 
0.3%
24000.0 3
 
0.3%
25000.0 3
 
0.3%
12000.0 3
 
0.3%
29900.0 3
 
0.3%
Other values (74) 95
 
8.1%
(Missing) 516
44.1%
ValueCountFrequency (%)
0.0 516
44.1%
1.0 7
 
0.6%
26.0 1
 
0.1%
450.0 1
 
0.1%
500.0 2
 
0.2%
569.7 1
 
0.1%
1026.0 2
 
0.2%
1120.0 1
 
0.1%
2000.0 1
 
0.1%
2400.0 2
 
0.2%
ValueCountFrequency (%)
63360.0 1
0.1%
52000.0 2
0.2%
50576.44 1
0.1%
50000.0 1
0.1%
49920.0 1
0.1%
48629.0 1
0.1%
48624.0 2
0.2%
48000.0 1
0.1%
47600.0 2
0.2%
40629.0 1
0.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값환경업무구분명폐기물처리업구분명허용보관량
0가평군화성환경2023-06-29<NA>BBBB영업<NA><NA><NA>12451경기도 가평군 청평면 경춘로 871, 네오오피스텔 5층 503-10호경기도 가평군 청평면 청평리 301-4 네오오피스텔1245137.741461127.422853<NA>237196.250264471079.448196건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)0.0
1가평군(주)가남환경2017-01-24<NA>BBBB영업<NA><NA><NA><NA>경기도 가평군 가평읍 상천고갯길 244경기도 가평군 가평읍 상색리 348-11242637.79221127.472446<NA>241532.494714476733.623209건설폐기물처리업사업계획(허가)신청중간처분업(건설폐기물)29672.0
2가평군(주)협신20151228<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 상면 물골길 84-50경기도 가평군 상면 봉수리 15-2번지47782237.83622127.318461<NA><NA><NA>건설폐기물처리업사업계획(허가)신청중간처분업(건설폐기물)10392.0
3가평군(주)가남환경20170124<NA><NA>운영중<NA><NA><NA><NA>경기도 가평군 가평읍 상천고갯길 244경기도 가평군 가평읍 상색리 348-1번지47780637.79221127.472446<NA><NA><NA>건설폐기물처리업사업계획(허가)신청중간처분업(건설폐기물)29672.0
4가평군청풍중기20140303<NA><NA>폐업 등20140303<NA><NA><NA>경기도 가평군 가평읍 가화로 26-9경기도 가평군 가평읍 대곡리 209-2번지47780437.822334127.517044<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>
5고양시영인개발2023-10-10<NA>BBBB영업<NA><NA><NA>10401경기도 고양시 일산동구 호수로 646-24, 위너스21 II 209-76호 (장항동)경기도 고양시 일산동구 장항동 756-2 위너스21 II1040137.659707126.767829<NA>179443.811344461950.576063건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)0.0
6고양시(주)대진산업개발2023-10-18<NA>BBBB영업<NA><NA><NA>10338경기도 고양시 일산동구 탄중로 429, 성지프라자 5층 502-20호 (중산동)경기도 고양시 일산동구 중산동 1579-1 성지프라자1033837.687138126.778742<NA>180406.015464987.035건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)0.0
7고양시승아환경2018-01-30<NA>BBBB영업<NA><NA><NA>10440경기도 고양시 덕양구 행주로17번길 42-18, 2층 (행주내동)경기도 고양시 덕양구 행주내동 214-31044037.603097126.825754<NA>184544.338031455655.371471건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)0.0
8고양시찬스환경2023-10-24<NA>BBBB영업<NA><NA><NA>10497경기도 고양시 덕양구 화중로104번길 28, 화정씨네마플러스 (화정동)경기도 고양시 덕양구 화정동 966-1 화정씨네마플러스1049737.635723126.833166<NA>185206.294105459287.006836건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)0.0
9고양시준서산업2023-11-01<NA>BBBB영업<NA><NA><NA>10402경기도 고양시 일산동구 정발산로 43-20, 센트럴프라자 305호 (장항동)경기도 고양시 일산동구 장항동 846 센트럴프라자1040237.65838126.773375<NA>179935.267999461800.124782건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)0.0
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값환경업무구분명폐기물처리업구분명허용보관량
1161화성시(주)홍명산업20120822<NA><NA>폐업 등20120821<NA><NA><NA>경기도 화성시 비봉면 양노남길 134경기도 화성시 비봉면 양노리 738-344584237.218588126.867175<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>
1162화성시남양환경20130514<NA><NA>폐업 등20131119<NA><NA><NA>경기도 화성시 매송면 매송로 14경기도 화성시 매송면 어천리 290-844583237.25148126.912794<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>
1163화성시(주)한양실업20131029<NA><NA>폐업 등20131029<NA><NA><NA>경기도 화성시 향남읍 동오4길 28경기도 화성시 향남읍 동오리 2번지1862437.142767126.961197<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>
1164화성시남양환경20071123<NA><NA>폐업 등20131120<NA><NA><NA>경기도 화성시 매송면 매송로 14경기도 화성시 매송면 어천리 290-8번지1828737.25148126.912794<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)0.0
1165화성시남양환경20071024<NA><NA>폐업 등20131120<NA><NA><NA>경기도 화성시 매송면 매송로 14경기도 화성시 매송면 어천리 290-8번지1828737.25148126.912794<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>
1166화성시(주)고양환경20131231<NA><NA>폐업 등20131220<NA><NA><NA>경기도 화성시 매송면 화성로 2273 (우측1호)경기도 화성시 매송면 어천리 473번지 우측1호44583237.251315126.914013<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)0.0
1167화성시(주)안일환경20140610<NA><NA>폐업 등20140522<NA><NA><NA>경기도 화성시 매송면 푸른들판로 2030-3경기도 화성시 매송면 원리 174-2번지44583137.278273126.88513<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>
1168화성시진현토건(주)2018-07-12<NA>1휴업<NA>0313544616<NA>18634경기도 화성시 양감면 서해로152번길 104-17경기도 화성시 양감면 요당리 527-31863437.078821126.922993<NA>193090.959844397435.84367건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)0.0
1169화성시자인산업개발(주)20171211<NA><NA>휴업 등<NA><NA><NA><NA>경기도 화성시 정남면 시청로 1560-54경기도 화성시 정남면 백리 57-3번지 ,-6,58,-3,-41833637.169983126.946135<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>
1170화성시(주)다원환경20160121<NA><NA>휴업 등<NA><NA><NA><NA>경기도 화성시 송산면 삼존동로 53경기도 화성시 송산면 삼존리 649-1744587137.211627126.764997<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값환경업무구분명폐기물처리업구분명허용보관량# duplicates
0남양주시020060322<NA>폐업 등20140530<NA><NA>경기도 남양주시 진건읍 독정로273번길 71경기도 남양주시 진건읍 송능리 56-1번지47283537.678427127.200486<NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>2
1남양주시020060322<NA>폐업 등20140530<NA><NA><NA>경기도 남양주시 평내동 산 97-8번지47214037.649356127.245267<NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>2
2남양주시020060720<NA>폐업 등20140530<NA><NA>경기도 남양주시 진접읍 양진로 935경기도 남양주시 진접읍 연평리 215-1번지47286337.702436127.179039<NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>2