Overview

Dataset statistics

Number of variables22
Number of observations694
Missing cells4553
Missing cells (%)29.8%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory126.2 KiB
Average record size in memory186.2 B

Variable types

Categorical5
Text7
DateTime1
Unsupported4
Numeric5

Dataset

Description분뇨수집 운반업체 현황_인허가
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=PED4R0L28458K6H5576T193753&infSeq=1

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates
업태구분명정보 is highly imbalanced (61.8%)Imbalance
업종구분명정보 is highly imbalanced (61.8%)Imbalance
인허가취소일자 has 694 (100.0%) missing valuesMissing
폐업일자 has 491 (70.7%) missing valuesMissing
소재지시설전화번호 has 219 (31.6%) missing valuesMissing
소재지면적정보 has 694 (100.0%) missing valuesMissing
도로명우편번호 has 440 (63.4%) missing valuesMissing
소재지도로명주소 has 106 (15.3%) missing valuesMissing
소재지우편번호 has 18 (2.6%) missing valuesMissing
WGS84위도 has 70 (10.1%) missing valuesMissing
WGS84경도 has 70 (10.1%) missing valuesMissing
X좌표값 has 181 (26.1%) missing valuesMissing
Y좌표값 has 181 (26.1%) missing valuesMissing
주생산품명정보 has 694 (100.0%) missing valuesMissing
배출시설조업시간 has 694 (100.0%) 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
주생산품명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 22:53:06.315383
Analysis finished2023-12-10 22:53:07.058486
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
수원시
126 
부천시
79 
평택시
52 
안성시
42 
화성시
 
30
Other values (26)
365 

Length

Max length4
Median length3
Mean length3.0691643
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 126
18.2%
부천시 79
 
11.4%
평택시 52
 
7.5%
안성시 42
 
6.1%
화성시 30
 
4.3%
용인시 29
 
4.2%
안산시 27
 
3.9%
광주시 26
 
3.7%
시흥시 21
 
3.0%
고양시 21
 
3.0%
Other values (21) 241
34.7%

Length

2023-12-11T07:53:07.150568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 126
18.2%
부천시 79
 
11.4%
평택시 52
 
7.5%
안성시 42
 
6.1%
화성시 30
 
4.3%
용인시 29
 
4.2%
안산시 27
 
3.9%
광주시 26
 
3.7%
시흥시 21
 
3.0%
고양시 21
 
3.0%
Other values (21) 241
34.7%

사업장명
Text

Distinct448
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2023-12-11T07:53:07.455049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length5.8357349
Min length2

Characters and Unicode

Total characters4050
Distinct characters207
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

Unique298 ?
Unique (%)42.9%

Sample

1st row청평정화사
2nd row조종정화사
3rd row시민정화사
4th row가평세원정화사
5th row그린정화사
ValueCountFrequency (%)
푸른환경 10
 
1.4%
그린환경 8
 
1.1%
미래환경 7
 
1.0%
가나환경 6
 
0.9%
경기환경 6
 
0.9%
우리환경 5
 
0.7%
원진환경 5
 
0.7%
칠보환경 5
 
0.7%
늘푸른환경 5
 
0.7%
녹색환경 4
 
0.6%
Other values (443) 640
91.3%
2023-12-11T07:53:08.010977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 488
 
12.0%
환 449
 
11.1%
) 342
 
8.4%
( 340
 
8.4%
주 291
 
7.2%
정 113
 
2.8%
화 103
 
2.5%
합 84
 
2.1%
업 82
 
2.0%
산 72
 
1.8%
Other values (197) 1686
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3348
82.7%
Close Punctuation 342
 
8.4%
Open Punctuation 340
 
8.4%
Space Separator 7
 
0.2%
Decimal Number 6
 
0.1%
Other Symbol 4
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 488
 
14.6%
환 449
 
13.4%
주 291
 
8.7%
정 113
 
3.4%
화 103
 
3.1%
합 84
 
2.5%
업 82
 
2.4%
산 72
 
2.2%
위 71
 
2.1%
생 70
 
2.1%
Other values (189) 1525
45.5%
Decimal Number
ValueCountFrequency (%)
1 5
83.3%
2 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
* 2
66.7%
, 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 342
100.0%
Open Punctuation
ValueCountFrequency (%)
( 340
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3352
82.8%
Common 698
 
17.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 488
 
14.6%
환 449
 
13.4%
주 291
 
8.7%
정 113
 
3.4%
화 103
 
3.1%
합 84
 
2.5%
업 82
 
2.4%
산 72
 
2.1%
위 71
 
2.1%
생 70
 
2.1%
Other values (190) 1529
45.6%
Common
ValueCountFrequency (%)
) 342
49.0%
( 340
48.7%
7
 
1.0%
1 5
 
0.7%
* 2
 
0.3%
, 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3348
82.7%
ASCII 698
 
17.2%
None 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 488
 
14.6%
환 449
 
13.4%
주 291
 
8.7%
정 113
 
3.4%
화 103
 
3.1%
합 84
 
2.5%
업 82
 
2.4%
산 72
 
2.2%
위 71
 
2.1%
생 70
 
2.1%
Other values (189) 1525
45.5%
ASCII
ValueCountFrequency (%)
) 342
49.0%
( 340
48.7%
7
 
1.0%
1 5
 
0.7%
* 2
 
0.3%
, 1
 
0.1%
2 1
 
0.1%
None
ValueCountFrequency (%)
㈜ 4
100.0%

인허가일자
Date

Distinct426
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum1900-01-01 00:00:00
Maximum2023-04-20 00:00:00
2023-12-11T07:53:08.204273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:53:08.410173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing694
Missing (%)100.0%
Memory size6.2 KiB

영업상태구분코드
Real number (ℝ)

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1455331
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-11T07:53:08.537554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median11
Q311
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.1166787
Coefficient of variation (CV)0.50539095
Kurtosis-1.3517836
Mean8.1455331
Median Absolute Deviation (MAD)0
Skewness-0.77664601
Sum5653
Variance16.947044
MonotonicityNot monotonic
2023-12-11T07:53:08.644400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
11 466
67.1%
2 164
 
23.6%
4 19
 
2.7%
3 17
 
2.4%
1 17
 
2.4%
5 11
 
1.6%
ValueCountFrequency (%)
1 17
 
2.4%
2 164
 
23.6%
3 17
 
2.4%
4 19
 
2.7%
5 11
 
1.6%
11 466
67.1%
ValueCountFrequency (%)
11 466
67.1%
5 11
 
1.6%
4 19
 
2.7%
3 17
 
2.4%
2 164
 
23.6%
1 17
 
2.4%

영업상태명
Categorical

Distinct6
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
영업
466 
폐업
164 
폐쇄
 
19
재개업
 
17
휴업
 
17

Length

Max length4
Median length2
Mean length2.056196
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 466
67.1%
폐업 164
 
23.6%
폐쇄 19
 
2.7%
재개업 17
 
2.4%
휴업 17
 
2.4%
제외사항 11
 
1.6%

Length

2023-12-11T07:53:08.768404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:53:08.890547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 466
67.1%
폐업 164
 
23.6%
폐쇄 19
 
2.7%
재개업 17
 
2.4%
휴업 17
 
2.4%
제외사항 11
 
1.6%

폐업일자
Text

MISSING 

Distinct131
Distinct (%)64.5%
Missing491
Missing (%)70.7%
Memory size5.6 KiB
2023-12-11T07:53:09.195959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0492611
Min length8

Characters and Unicode

Total characters1634
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

Unique103 ?
Unique (%)50.7%

Sample

1st row20070201
2nd row20030304
3rd row20040531
4th row20160104
5th row20110401
ValueCountFrequency (%)
20200212 8
 
3.9%
20160129 8
 
3.9%
20040512 6
 
3.0%
20160217 6
 
3.0%
20080418 6
 
3.0%
20000722 6
 
3.0%
20010105 5
 
2.5%
20060329 5
 
2.5%
2023-09-25 5
 
2.5%
20000811 4
 
2.0%
Other values (121) 144
70.9%
2023-12-11T07:53:09.726661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 595
36.4%
2 364
22.3%
1 280
17.1%
9 74
 
4.5%
4 66
 
4.0%
6 59
 
3.6%
3 59
 
3.6%
7 45
 
2.8%
5 44
 
2.7%
8 38
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1624
99.4%
Dash Punctuation 10
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 595
36.6%
2 364
22.4%
1 280
17.2%
9 74
 
4.6%
4 66
 
4.1%
6 59
 
3.6%
3 59
 
3.6%
7 45
 
2.8%
5 44
 
2.7%
8 38
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1634
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 595
36.4%
2 364
22.3%
1 280
17.1%
9 74
 
4.5%
4 66
 
4.0%
6 59
 
3.6%
3 59
 
3.6%
7 45
 
2.8%
5 44
 
2.7%
8 38
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1634
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 595
36.4%
2 364
22.3%
1 280
17.1%
9 74
 
4.5%
4 66
 
4.0%
6 59
 
3.6%
3 59
 
3.6%
7 45
 
2.8%
5 44
 
2.7%
8 38
 
2.3%

소재지시설전화번호
Text

MISSING 

Distinct423
Distinct (%)89.1%
Missing219
Missing (%)31.6%
Memory size5.6 KiB
2023-12-11T07:53:10.043217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.029474
Min length7

Characters and Unicode

Total characters5239
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

Unique379 ?
Unique (%)79.8%

Sample

1st row031 582 4959
2nd row031-585-0281
3rd row031 582 6234
4th row0315824600
5th row031 585 5472
ValueCountFrequency (%)
031 141
 
18.1%
032 30
 
3.8%
676 7
 
0.9%
675 7
 
0.9%
674 5
 
0.6%
677 5
 
0.6%
832 4
 
0.5%
0343 4
 
0.5%
031-858-0301 4
 
0.5%
031225 4
 
0.5%
Other values (494) 569
72.9%
2023-12-11T07:53:10.519987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 787
15.0%
0 733
14.0%
1 638
12.2%
2 420
8.0%
6 417
8.0%
5 367
7.0%
4 344
6.6%
7 339
6.5%
- 332
6.3%
8 330
6.3%
Other values (2) 532
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4589
87.6%
Dash Punctuation 332
 
6.3%
Space Separator 318
 
6.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 787
17.1%
0 733
16.0%
1 638
13.9%
2 420
9.2%
6 417
9.1%
5 367
8.0%
4 344
7.5%
7 339
7.4%
8 330
7.2%
9 214
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 332
100.0%
Space Separator
ValueCountFrequency (%)
318
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 787
15.0%
0 733
14.0%
1 638
12.2%
2 420
8.0%
6 417
8.0%
5 367
7.0%
4 344
6.6%
7 339
6.5%
- 332
6.3%
8 330
6.3%
Other values (2) 532
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 787
15.0%
0 733
14.0%
1 638
12.2%
2 420
8.0%
6 417
8.0%
5 367
7.0%
4 344
6.6%
7 339
6.5%
- 332
6.3%
8 330
6.3%
Other values (2) 532
10.2%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing694
Missing (%)100.0%
Memory size6.2 KiB

도로명우편번호
Text

MISSING 

Distinct183
Distinct (%)72.0%
Missing440
Missing (%)63.4%
Memory size5.6 KiB
2023-12-11T07:53:10.954653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.4015748
Min length5

Characters and Unicode

Total characters1372
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

Unique137 ?
Unique (%)53.9%

Sample

1st row477804
2nd row477834
3rd row12431
4th row477815
5th row477801
ValueCountFrequency (%)
17023 8
 
3.1%
14539 5
 
2.0%
11718 5
 
2.0%
12949 4
 
1.6%
16232 4
 
1.6%
12102 4
 
1.6%
12798 3
 
1.2%
12136 3
 
1.2%
17704 3
 
1.2%
10012 3
 
1.2%
Other values (173) 212
83.5%
2023-12-11T07:53:11.565016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 276
20.1%
4 200
14.6%
2 155
11.3%
8 137
10.0%
0 135
9.8%
7 98
 
7.1%
5 97
 
7.1%
3 91
 
6.6%
6 90
 
6.6%
9 78
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1357
98.9%
Dash Punctuation 15
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 276
20.3%
4 200
14.7%
2 155
11.4%
8 137
10.1%
0 135
9.9%
7 98
 
7.2%
5 97
 
7.1%
3 91
 
6.7%
6 90
 
6.6%
9 78
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 276
20.1%
4 200
14.6%
2 155
11.3%
8 137
10.0%
0 135
9.8%
7 98
 
7.1%
5 97
 
7.1%
3 91
 
6.6%
6 90
 
6.6%
9 78
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 276
20.1%
4 200
14.6%
2 155
11.3%
8 137
10.0%
0 135
9.8%
7 98
 
7.1%
5 97
 
7.1%
3 91
 
6.6%
6 90
 
6.6%
9 78
 
5.7%

소재지도로명주소
Text

MISSING 

Distinct418
Distinct (%)71.1%
Missing106
Missing (%)15.3%
Memory size5.6 KiB
2023-12-11T07:53:11.939481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length48
Mean length26.886054
Min length15

Characters and Unicode

Total characters15809
Distinct characters308
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique323 ?
Unique (%)54.9%

Sample

1st row경기도 가평군 가평읍 굴다리길 33, 402호 (거북빌라)
2nd row경기도 가평군 하면 연등아랫길 13-1
3rd row경기도 가평군 가평읍 석봉로153번길 12 (대곡리)
4th row경기도 가평군 하면 청군로 1205
5th row경기도 가평군 조종면 명지산로262번길 25
ValueCountFrequency (%)
경기도 588
 
17.4%
수원시 86
 
2.5%
부천시 72
 
2.1%
평택시 42
 
1.2%
안성시 38
 
1.1%
권선구 34
 
1.0%
27
 
0.8%
처인구 27
 
0.8%
용인시 27
 
0.8%
안산시 27
 
0.8%
Other values (1008) 2414
71.4%
2023-12-11T07:53:12.485938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2929
 
18.5%
경 650
 
4.1%
도 618
 
3.9%
1 608
 
3.8%
기 600
 
3.8%
시 595
 
3.8%
로 485
 
3.1%
동 474
 
3.0%
( 418
 
2.6%
) 418
 
2.6%
Other values (298) 8014
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9036
57.2%
Space Separator 2929
 
18.5%
Decimal Number 2531
 
16.0%
Open Punctuation 418
 
2.6%
Close Punctuation 418
 
2.6%
Other Punctuation 263
 
1.7%
Dash Punctuation 192
 
1.2%
Uppercase Letter 17
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 650
 
7.2%
도 618
 
6.8%
기 600
 
6.6%
시 595
 
6.6%
로 485
 
5.4%
동 474
 
5.2%
길 319
 
3.5%
번 211
 
2.3%
구 195
 
2.2%
안 179
 
2.0%
Other values (272) 4710
52.1%
Decimal Number
ValueCountFrequency (%)
1 608
24.0%
2 391
15.4%
3 280
11.1%
4 211
 
8.3%
0 198
 
7.8%
5 194
 
7.7%
6 175
 
6.9%
8 173
 
6.8%
7 163
 
6.4%
9 138
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 8
47.1%
S 3
 
17.6%
A 2
 
11.8%
O 2
 
11.8%
K 1
 
5.9%
F 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 147
55.9%
* 114
43.3%
: 2
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
l 2
40.0%
i 2
40.0%
n 1
20.0%
Space Separator
ValueCountFrequency (%)
2929
100.0%
Open Punctuation
ValueCountFrequency (%)
( 418
100.0%
Close Punctuation
ValueCountFrequency (%)
) 418
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9036
57.2%
Common 6751
42.7%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 650
 
7.2%
도 618
 
6.8%
기 600
 
6.6%
시 595
 
6.6%
로 485
 
5.4%
동 474
 
5.2%
길 319
 
3.5%
번 211
 
2.3%
구 195
 
2.2%
안 179
 
2.0%
Other values (272) 4710
52.1%
Common
ValueCountFrequency (%)
2929
43.4%
1 608
 
9.0%
( 418
 
6.2%
) 418
 
6.2%
2 391
 
5.8%
3 280
 
4.1%
4 211
 
3.1%
0 198
 
2.9%
5 194
 
2.9%
- 192
 
2.8%
Other values (7) 912
 
13.5%
Latin
ValueCountFrequency (%)
B 8
36.4%
S 3
 
13.6%
A 2
 
9.1%
O 2
 
9.1%
l 2
 
9.1%
i 2
 
9.1%
K 1
 
4.5%
n 1
 
4.5%
F 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9036
57.2%
ASCII 6773
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2929
43.2%
1 608
 
9.0%
( 418
 
6.2%
) 418
 
6.2%
2 391
 
5.8%
3 280
 
4.1%
4 211
 
3.1%
0 198
 
2.9%
5 194
 
2.9%
- 192
 
2.8%
Other values (16) 934
 
13.8%
Hangul
ValueCountFrequency (%)
경 650
 
7.2%
도 618
 
6.8%
기 600
 
6.6%
시 595
 
6.6%
로 485
 
5.4%
동 474
 
5.2%
길 319
 
3.5%
번 211
 
2.3%
구 195
 
2.2%
안 179
 
2.0%
Other values (272) 4710
52.1%

소재지지번주소
Text

Distinct503
Distinct (%)72.6%
Missing1
Missing (%)0.1%
Memory size5.6 KiB
2023-12-11T07:53:12.858402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length22.868687
Min length11

Characters and Unicode

Total characters15848
Distinct characters275
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

Unique408 ?
Unique (%)58.9%

Sample

1st row경기도 가평군 가평읍 대곡리 244-5번지 거북빌라 402호
2nd row경기도 가평군 조종면 현리 477-75번지
3rd row경기도 가평군 가평읍 읍내리 349-12번지
4th row경기도 가평군 가평읍 대곡리 285-9 번지
5th row경기도 가평군 조종면 현리 477-93번지
ValueCountFrequency (%)
경기도 693
 
20.1%
수원시 126
 
3.6%
부천시 79
 
2.3%
권선구 55
 
1.6%
평택시 52
 
1.5%
안성시 41
 
1.2%
번지 36
 
1.0%
장안구 32
 
0.9%
31
 
0.9%
화성시 30
 
0.9%
Other values (951) 2278
66.0%
2023-12-11T07:53:13.397967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3189
20.1%
도 716
 
4.5%
경 708
 
4.5%
기 694
 
4.4%
시 693
 
4.4%
동 578
 
3.6%
1 576
 
3.6%
- 570
 
3.6%
지 407
 
2.6%
2 407
 
2.6%
Other values (265) 7310
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9021
56.9%
Space Separator 3189
 
20.1%
Decimal Number 2880
 
18.2%
Dash Punctuation 570
 
3.6%
Other Punctuation 149
 
0.9%
Open Punctuation 13
 
0.1%
Close Punctuation 13
 
0.1%
Uppercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 716
 
7.9%
경 708
 
7.8%
기 694
 
7.7%
시 693
 
7.7%
동 578
 
6.4%
지 407
 
4.5%
번 365
 
4.0%
구 249
 
2.8%
리 211
 
2.3%
원 194
 
2.2%
Other values (242) 4206
46.6%
Decimal Number
ValueCountFrequency (%)
1 576
20.0%
2 407
14.1%
3 344
11.9%
5 298
10.3%
4 276
9.6%
0 222
 
7.7%
6 208
 
7.2%
8 195
 
6.8%
7 183
 
6.4%
9 171
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 5
38.5%
A 3
23.1%
O 2
 
15.4%
I 1
 
7.7%
T 1
 
7.7%
F 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
* 146
98.0%
: 2
 
1.3%
@ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
3189
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 570
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9021
56.9%
Common 6814
43.0%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 716
 
7.9%
경 708
 
7.8%
기 694
 
7.7%
시 693
 
7.7%
동 578
 
6.4%
지 407
 
4.5%
번 365
 
4.0%
구 249
 
2.8%
리 211
 
2.3%
원 194
 
2.2%
Other values (242) 4206
46.6%
Common
ValueCountFrequency (%)
3189
46.8%
1 576
 
8.5%
- 570
 
8.4%
2 407
 
6.0%
3 344
 
5.0%
5 298
 
4.4%
4 276
 
4.1%
0 222
 
3.3%
6 208
 
3.1%
8 195
 
2.9%
Other values (7) 529
 
7.8%
Latin
ValueCountFrequency (%)
B 5
38.5%
A 3
23.1%
O 2
 
15.4%
I 1
 
7.7%
T 1
 
7.7%
F 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9021
56.9%
ASCII 6827
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3189
46.7%
1 576
 
8.4%
- 570
 
8.3%
2 407
 
6.0%
3 344
 
5.0%
5 298
 
4.4%
4 276
 
4.0%
0 222
 
3.3%
6 208
 
3.0%
8 195
 
2.9%
Other values (13) 542
 
7.9%
Hangul
ValueCountFrequency (%)
도 716
 
7.9%
경 708
 
7.8%
기 694
 
7.7%
시 693
 
7.7%
동 578
 
6.4%
지 407
 
4.5%
번 365
 
4.0%
구 249
 
2.8%
리 211
 
2.3%
원 194
 
2.2%
Other values (242) 4206
46.6%

소재지우편번호
Text

MISSING 

Distinct400
Distinct (%)59.2%
Missing18
Missing (%)2.6%
Memory size5.6 KiB
2023-12-11T07:53:13.732368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.7973373
Min length5

Characters and Unicode

Total characters3919
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

Unique276 ?
Unique (%)40.8%

Sample

1st row477816
2nd row477831
3rd row477803
4th row477804
5th row477834
ValueCountFrequency (%)
441410 18
 
2.7%
420130 10
 
1.5%
17023 8
 
1.2%
449814 8
 
1.2%
480826 8
 
1.2%
456030 7
 
1.0%
464800 7
 
1.0%
426060 7
 
1.0%
441110 7
 
1.0%
440210 7
 
1.0%
Other values (390) 589
87.1%
2023-12-11T07:53:14.192907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 828
21.1%
0 691
17.6%
1 596
15.2%
2 415
10.6%
8 335
8.5%
5 242
 
6.2%
3 226
 
5.8%
6 200
 
5.1%
7 192
 
4.9%
9 166
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3891
99.3%
Dash Punctuation 28
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 828
21.3%
0 691
17.8%
1 596
15.3%
2 415
10.7%
8 335
8.6%
5 242
 
6.2%
3 226
 
5.8%
6 200
 
5.1%
7 192
 
4.9%
9 166
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3919
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 828
21.1%
0 691
17.6%
1 596
15.2%
2 415
10.6%
8 335
8.5%
5 242
 
6.2%
3 226
 
5.8%
6 200
 
5.1%
7 192
 
4.9%
9 166
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3919
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 828
21.1%
0 691
17.6%
1 596
15.2%
2 415
10.6%
8 335
8.5%
5 242
 
6.2%
3 226
 
5.8%
6 200
 
5.1%
7 192
 
4.9%
9 166
 
4.2%

WGS84위도
Real number (ℝ)

MISSING 

Distinct437
Distinct (%)70.0%
Missing70
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean37.411533
Minimum36.937477
Maximum38.186489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-11T07:53:14.580627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.937477
5-th percentile36.998044
Q137.254766
median37.368617
Q337.591099
95-th percentile37.890107
Maximum38.186489
Range1.2490119
Interquartile range (IQR)0.33633305

Descriptive statistics

Standard deviation0.26566428
Coefficient of variation (CV)0.0071011332
Kurtosis-0.37315356
Mean37.411533
Median Absolute Deviation (MAD)0.15097692
Skewness0.36184711
Sum23344.797
Variance0.070577509
MonotonicityNot monotonic
2023-12-11T07:53:14.702927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7581248854 8
 
1.2%
37.2474243684 7
 
1.0%
37.0042493 7
 
1.0%
37.3030673475 6
 
0.9%
37.3263705 6
 
0.9%
37.4116693 6
 
0.9%
37.2803340802 6
 
0.9%
38.0293431 5
 
0.7%
37.1533674 5
 
0.7%
37.5198404 5
 
0.7%
Other values (427) 563
81.1%
(Missing) 70
 
10.1%
ValueCountFrequency (%)
36.9374768743 1
0.1%
36.9393423245 1
0.1%
36.9449960479 1
0.1%
36.9555783 1
0.1%
36.9605521 1
0.1%
36.9638351264 1
0.1%
36.9653587 1
0.1%
36.9683023191 1
0.1%
36.9721491087 1
0.1%
36.9723843 1
0.1%
ValueCountFrequency (%)
38.1864888 1
 
0.1%
38.0906384 1
 
0.1%
38.0404234 2
 
0.3%
38.0293724286 3
0.4%
38.0293431 5
0.7%
38.024229 1
 
0.1%
38.017675 1
 
0.1%
38.0073451 1
 
0.1%
38.0073181 1
 
0.1%
37.9960097 1
 
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct437
Distinct (%)70.0%
Missing70
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean127.01977
Minimum126.58131
Maximum127.75424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-11T07:53:14.859043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.58131
5-th percentile126.75501
Q1126.82442
median127.01656
Q3127.15912
95-th percentile127.33365
Maximum127.75424
Range1.1729307
Interquartile range (IQR)0.3347005

Descriptive statistics

Standard deviation0.20631312
Coefficient of variation (CV)0.0016242599
Kurtosis0.27288154
Mean127.01977
Median Absolute Deviation (MAD)0.16880411
Skewness0.53664181
Sum79260.335
Variance0.042565102
MonotonicityNot monotonic
2023-12-11T07:53:15.017709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0391273564 8
 
1.2%
127.0165594619 7
 
1.0%
127.2785986 7
 
1.0%
127.0512248214 6
 
0.9%
126.858463 6
 
0.9%
127.2548958 6
 
0.9%
127.2207622029 6
 
0.9%
127.0583724 5
 
0.7%
127.0731142 5
 
0.7%
126.7909103 5
 
0.7%
Other values (427) 563
81.1%
(Missing) 70
 
10.1%
ValueCountFrequency (%)
126.5813138 1
 
0.1%
126.5837089862 2
0.3%
126.5965491766 1
 
0.1%
126.6160021 1
 
0.1%
126.6276181709 1
 
0.1%
126.6386161988 3
0.4%
126.6434416 1
 
0.1%
126.6497828 1
 
0.1%
126.6620776554 1
 
0.1%
126.6947378111 1
 
0.1%
ValueCountFrequency (%)
127.7542445252 1
0.1%
127.6778865724 1
0.1%
127.6322239 1
0.1%
127.6298903 1
0.1%
127.6241109617 1
0.1%
127.6239254606 1
0.1%
127.6228375601 1
0.1%
127.6227262217 2
0.3%
127.6225297 1
0.1%
127.6101392 1
0.1%

업태구분명정보
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
490 
분뇨 처리업
126 
하수처리, 폐기물처리 및 청소관련 서비스업
 
48
하수, 분뇨 및 축산폐기물 처리업
 
11
하수, 폐수 및 분뇨 처리업
 
9
Other values (7)
 
10

Length

Max length32
Median length4
Mean length6.2074928
Min length4

Unique

Unique6 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 490
70.6%
분뇨 처리업 126
 
18.2%
하수처리, 폐기물처리 및 청소관련 서비스업 48
 
6.9%
하수, 분뇨 및 축산폐기물 처리업 11
 
1.6%
하수, 폐수 및 분뇨 처리업 9
 
1.3%
분뇨 및 축산폐기물 처리업 4
 
0.6%
환경상담 및 관련 엔지니어링 서비스업 1
 
0.1%
환경 정화 및 복원업 1
 
0.1%
폐기물 수집운반업 1
 
0.1%
공공장소 청소 및 유사 서비공공장소 청소 및 유사 서비스업 1
 
0.1%
Other values (2) 2
 
0.3%

Length

2023-12-11T07:53:15.142426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 490
43.6%
처리업 151
 
13.4%
분뇨 150
 
13.3%
및 77
 
6.8%
서비스업 50
 
4.4%
하수처리 48
 
4.3%
폐기물처리 48
 
4.3%
청소관련 48
 
4.3%
하수 20
 
1.8%
축산폐기물 15
 
1.3%
Other values (15) 28
 
2.5%

X좌표값
Real number (ℝ)

MISSING 

Distinct340
Distinct (%)66.3%
Missing181
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean200563.29
Minimum162985.97
Maximum266687.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-11T07:53:15.251791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162985.97
5-th percentile177828.01
Q1183629
median200391.11
Q3212195.12
95-th percentile231570
Maximum266687.58
Range103701.61
Interquartile range (IQR)28566.125

Descriptive statistics

Standard deviation18206.536
Coefficient of variation (CV)0.090777011
Kurtosis0.58861984
Mean200563.29
Median Absolute Deviation (MAD)14871.394
Skewness0.65720559
Sum1.0288897 × 108
Variance3.3147797 × 108
MonotonicityNot monotonic
2023-12-11T07:53:15.397699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
222500.043987805 11
 
1.6%
203383.389232658 8
 
1.2%
212195.124597265 6
 
0.9%
205062.158751049 6
 
0.9%
219508.024274975 6
 
0.9%
181450.595996809 5
 
0.7%
204682.120477216 5
 
0.7%
220077.370299791 5
 
0.7%
201396.463324128 5
 
0.7%
183338.393671757 5
 
0.7%
Other values (330) 451
65.0%
(Missing) 181
26.1%
ValueCountFrequency (%)
162985.968919898 1
0.1%
162999.269512541 2
0.3%
164319.477953962 1
0.1%
166062.056173203 1
0.1%
167080.701583619 1
0.1%
168050.596108166 1
0.1%
168052.517664685 2
0.3%
168477.460315098 1
0.1%
169052.259849076 1
0.1%
170130.785940517 1
0.1%
ValueCountFrequency (%)
266687.582057756 1
0.1%
259824.600337006 1
0.1%
255992.196987828 1
0.1%
255782.789127556 1
0.1%
255269.429374533 1
0.1%
255268.828774431 2
0.3%
255233.448688857 1
0.1%
254032.918160045 2
0.3%
245138.414598652 1
0.1%
245036.922395241 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct340
Distinct (%)66.3%
Missing181
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean436289.96
Minimum381778.36
Maximum520411.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-11T07:53:15.522168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum381778.36
5-th percentile389435.43
Q1419068.84
median434434.12
Q3454326.3
95-th percentile487424.88
Maximum520411.13
Range138632.77
Interquartile range (IQR)35257.46

Descriptive statistics

Standard deviation27539.922
Coefficient of variation (CV)0.063122979
Kurtosis-0.15989402
Mean436289.96
Median Absolute Deviation (MAD)15433.727
Skewness0.35274201
Sum2.2381675 × 108
Variance7.5844731 × 108
MonotonicityNot monotonic
2023-12-11T07:53:15.627186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
434434.115394116 11
 
1.6%
472859.081413405 8
 
1.2%
455880.918427158 6
 
0.9%
502962.373407384 6
 
0.9%
419835.219830748 6
 
0.9%
446432.095954412 5
 
0.7%
469188.296076335 5
 
0.7%
460582.203746292 5
 
0.7%
416168.332408271 5
 
0.7%
447286.71295767 5
 
0.7%
Other values (330) 451
65.0%
(Missing) 181
26.1%
ValueCountFrequency (%)
381778.364635181 1
0.1%
382019.611097276 1
0.1%
384679.545972904 1
0.1%
385198.470511118 1
0.1%
385622.512347753 1
0.1%
385780.215658043 1
0.1%
386068.740483232 2
0.3%
386119.173978872 1
0.1%
386133.648694651 1
0.1%
386191.548953617 1
0.1%
ValueCountFrequency (%)
520411.129749821 1
 
0.1%
504193.006364468 2
 
0.3%
502962.373407384 6
0.9%
502962.365789135 1
 
0.1%
500544.585630537 2
 
0.3%
499265.324775855 2
 
0.3%
494911.371855057 1
 
0.1%
493138.73908246 1
 
0.1%
490169.534768941 1
 
0.1%
489913.234480897 1
 
0.1%

업종구분명정보
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
490 
분뇨 처리업
126 
하수처리, 폐기물처리 및 청소관련 서비스업
 
48
하수, 분뇨 및 축산폐기물 처리업
 
11
하수, 폐수 및 분뇨 처리업
 
9
Other values (7)
 
10

Length

Max length32
Median length4
Mean length6.2074928
Min length4

Unique

Unique6 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 490
70.6%
분뇨 처리업 126
 
18.2%
하수처리, 폐기물처리 및 청소관련 서비스업 48
 
6.9%
하수, 분뇨 및 축산폐기물 처리업 11
 
1.6%
하수, 폐수 및 분뇨 처리업 9
 
1.3%
분뇨 및 축산폐기물 처리업 4
 
0.6%
환경상담 및 관련 엔지니어링 서비스업 1
 
0.1%
환경 정화 및 복원업 1
 
0.1%
폐기물 수집운반업 1
 
0.1%
공공장소 청소 및 유사 서비공공장소 청소 및 유사 서비스업 1
 
0.1%
Other values (2) 2
 
0.3%

Length

2023-12-11T07:53:15.740103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 490
43.6%
처리업 151
 
13.4%
분뇨 150
 
13.3%
및 77
 
6.8%
서비스업 50
 
4.4%
하수처리 48
 
4.3%
폐기물처리 48
 
4.3%
청소관련 48
 
4.3%
하수 20
 
1.8%
축산폐기물 15
 
1.3%
Other values (15) 28
 
2.5%

주생산품명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing694
Missing (%)100.0%
Memory size6.2 KiB

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing694
Missing (%)100.0%
Memory size6.2 KiB

배출시설연간가동일수
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
<NA>
523 
0
171 

Length

Max length4
Median length4
Mean length3.2608069
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 523
75.4%
0 171
 
24.6%

Length

2023-12-11T07:53:15.837982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:53:15.915239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 523
75.4%
0 171
 
24.6%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업종구분명정보주생산품명정보배출시설조업시간배출시설연간가동일수
0가평군청평정화사19991222<NA>11영업<NA><NA><NA>477804경기도 가평군 가평읍 굴다리길 33, 402호 (거북빌라)경기도 가평군 가평읍 대곡리 244-5번지 거북빌라 402호47781637.826399127.512318<NA>245036.922395480550.053113<NA><NA><NA><NA>
1가평군조종정화사19950407<NA>11영업20070201<NA><NA><NA>경기도 가평군 하면 연등아랫길 13-1경기도 가평군 조종면 현리 477-75번지47783137.810874127.350013분뇨 처리업230756.799296478769.234212분뇨 처리업<NA><NA><NA>
2가평군시민정화사20001117<NA>11영업<NA>031 582 4959<NA><NA><NA>경기도 가평군 가평읍 읍내리 349-12번지477803<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3가평군가평세원정화사19990904<NA>11영업20030304<NA><NA><NA>경기도 가평군 가평읍 석봉로153번길 12 (대곡리)경기도 가평군 가평읍 대곡리 285-9 번지47780437.828648127.509663분뇨 처리업<NA><NA>분뇨 처리업<NA><NA><NA>
4가평군그린정화사19970120<NA>11영업<NA><NA><NA>477834경기도 가평군 하면 청군로 1205경기도 가평군 조종면 현리 477-93번지47783437.812485127.350622<NA>230887.288411479271.588773<NA><NA><NA><NA>
5가평군개인2017-02-27<NA>11영업<NA>031-585-0281<NA>12431경기도 가평군 조종면 명지산로262번길 25경기도 가평군 조종면 상판리 385-3번지1243137.895326127.371898<NA>232637.598123488138.356117<NA><NA><NA>0
6가평군(주)보납환경20010208<NA>11영업<NA>031 582 6234<NA><NA>경기도 가평군 가평읍 연인2길 17경기도 가평군 가평읍 읍내리 489-23번지47780537.829621127.511555환경상담 및 관련 엔지니어링 서비스업244971.968168480916.126606환경상담 및 관련 엔지니어링 서비스업<NA><NA><NA>
7가평군가평세원정화사20010315<NA>11영업<NA>0315824600<NA><NA>경기도 가평군 가평읍 석봉로153번길 12경기도 가평군 가평읍 대곡리 285-947780537.828734127.50975<NA>244805.937167480807.676645<NA><NA><NA>0
8가평군위생공사20020506<NA>11영업20040531<NA><NA><NA><NA>경기도 가평군 청평면 청평리 317번지47781337.739272127.423285분뇨 처리업<NA><NA>분뇨 처리업<NA><NA><NA>
9가평군엘투환경20160204<NA>11영업<NA>031 585 5472<NA>477815경기도 가평군 청평면 경춘로 874경기도 가평군 청평면 청평리 319-85번지1245237.740991127.42359<NA>237272.792733471037.749831<NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업종구분명정보주생산품명정보배출시설조업시간배출시설연간가동일수
684화성시화성정화조19990128<NA>11영업<NA>031 3755493<NA>445882경기도 화성시 서신면 백미길 23경기도 화성시 서신면 용두리 822-244588237.151665126.698399<NA>173132.278069405576.267261<NA><NA><NA><NA>
685화성시칠보환경1999-02-03<NA>11영업<NA>031 3511799<NA>445-942경기도 화성시 장안면 기아자동차로 750-1경기도 화성시 향남읍 상신리 188-31858537.072223126.814576<NA>190355.342206401266.581236<NA><NA><NA>0
686화성시남양환경20010219<NA>11영업<NA>0312932205<NA>18258경기도 화성시 남양읍 남양성지로 245-10경기도 화성시 남양읍 남양리 1398-21825837.214755126.827647<NA>184634.413974412551.171045<NA><NA><NA><NA>
687화성시화성정화조1999-01-28<NA>11영업<NA>031 3755493<NA>18515경기도 화성시 정남면 정남동로 10경기도 화성시 정남면 덕절리 103-231851537.136986127.03494<NA>203031.655888403911.01304<NA><NA><NA>0
688화성시칠보환경20000314<NA>11영업<NA>0313881799<NA>18585경기도 화성시 장안면 분토길 6경기도 화성시 장안면 사곡리 3071858537.063232126.815456<NA>183512.3291395729.378664<NA><NA><NA>0
689화성시1120010918<NA>11영업<NA><NA><NA><NA><NA>경기도 화성시 봉담읍 와우리 산 2-2 수원대 TBI센터 1116호445897<NA><NA><NA><NA><NA><NA><NA><NA><NA>
690화성시가나환경20010410<NA>11영업<NA><NA><NA>445892경기도 화성시 봉담읍 안당하리길 7-6경기도 화성시 봉담읍 당하리 199-144589237.183406126.936743<NA>194303.834653409043.856309<NA><NA><NA><NA>
691화성시(주)성진환경19811105<NA>2폐업19901111031 3766062<NA>445939경기도 화성시 향남읍 삼천병마로 195경기도 화성시 향남읍 평리 76-344593937.130642126.909968<NA>191929.030264403211.935441<NA><NA><NA><NA>
692화성시(주)하마환경19960113<NA>2폐업20100120031 3534013<NA><NA>경기도 화성시 향남읍 삼천병마로 219-2경기도 화성시 향남읍 평리 82-244592037.132718126.910358<NA>191960.854683403440.37743<NA><NA><NA><NA>
693화성시(주)정경산업19990115<NA>2폐업20010713031 3546262<NA><NA>경기도 화성시 팔탄면 마곡길 2경기도 화성시 팔탄면 구장리 568-144591037.163359126.903745<NA>191382.012935406835.049861<NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업종구분명정보배출시설연간가동일수# duplicates
0평택시(주)세림환경200510052폐업20160217<NA><NA><NA>경기도 평택시 서탄면 황구지리 5-3 번지45185137.083232126.99754<NA><NA><NA><NA><NA>2