Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows627
Duplicate rows (%)6.3%
Total size in memory781.2 KiB
Average record size in memory80.0 B

Variable types

DateTime1
Categorical6
Text2

Dataset

Description경기도 고양시 대형폐기물 수거 현황에 대한 데이터로 폐기물 종류, 폐기물 규격, 수거 개수, 수거장소(행정동) 등의 항목을 제공합니다.
Author경기도 고양시
URLhttps://www.data.go.kr/data/15089352/fileData.do

Alerts

관리기관 has constant value ""Constant
전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 627 (6.3%) duplicate rowsDuplicates
접수경로 is highly overall correlated with 수거장소_행정동 and 1 other fieldsHigh correlation
수거장소_행정동 is highly overall correlated with 접수경로High correlation
폐기물_개수 is highly overall correlated with 접수경로High correlation
폐기물_개수 is highly imbalanced (68.4%)Imbalance

Reproduction

Analysis started2023-12-12 00:33:58.996959
Analysis finished2023-12-12 00:33:59.784347
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신청날짜
Date

Distinct2327
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-09-16 00:00:00
Maximum2023-10-09 19:18:00
2023-12-12T09:33:59.842970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:33:59.968900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수거장소_행정동
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
(데이터추출불가)
5947 
화전동
 
236
고봉동
 
197
흥도동
 
181
삼송1동
 
172
Other values (45)
3267 

Length

Max length9
Median length9
Mean length6.7588
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row덕이동
2nd row(데이터추출불가)
3rd row(데이터추출불가)
4th row삼송1동
5th row(데이터추출불가)

Common Values

ValueCountFrequency (%)
(데이터추출불가) 5947
59.5%
화전동 236
 
2.4%
고봉동 197
 
2.0%
흥도동 181
 
1.8%
삼송1동 172
 
1.7%
정발산동 164
 
1.6%
삼송2동 152
 
1.5%
대화동 152
 
1.5%
관산동 144
 
1.4%
식사동 141
 
1.4%
Other values (40) 2514
25.1%

Length

2023-12-12T09:34:00.115767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
데이터추출불가 5947
59.5%
화전동 236
 
2.4%
고봉동 197
 
2.0%
흥도동 181
 
1.8%
삼송1동 172
 
1.7%
정발산동 164
 
1.6%
삼송2동 152
 
1.5%
대화동 152
 
1.5%
관산동 144
 
1.4%
식사동 141
 
1.4%
Other values (40) 2514
25.1%

폐기물_종류
Text

Distinct242
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:34:00.407902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length9
Mean length7.033
Min length2

Characters and Unicode

Total characters70330
Distinct characters212
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

Unique80 ?
Unique (%)0.8%

Sample

1st row화장대(거울,의자포함)
2nd row(데이터추출불가)
3rd row(데이터추출불가)
4th row가전제품
5th row(데이터추출불가)
ValueCountFrequency (%)
데이터추출불가 5947
58.2%
의자 463
 
4.5%
기타 191
 
1.9%
서랍장 183
 
1.8%
침대매트리스 177
 
1.7%
쇼파(분리기준 152
 
1.5%
책장 132
 
1.3%
책상 127
 
1.2%
가방 111
 
1.1%
매트리스 106
 
1.0%
Other values (175) 2625
25.7%
2023-12-12T09:34:00.834201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 6504
9.2%
) 6504
9.2%
이 6188
8.8%
가 6145
8.7%
불 6034
8.6%
데 5961
8.5%
터 5949
8.5%
추 5947
8.5%
출 5947
8.5%
자 951
 
1.4%
Other values (202) 14200
20.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56254
80.0%
Open Punctuation 6504
 
9.2%
Close Punctuation 6504
 
9.2%
Space Separator 435
 
0.6%
Other Punctuation 396
 
0.6%
Uppercase Letter 192
 
0.3%
Decimal Number 38
 
0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 6188
11.0%
가 6145
10.9%
불 6034
10.7%
데 5961
10.6%
터 5949
10.6%
추 5947
10.6%
출 5947
10.6%
자 951
 
1.7%
장 882
 
1.6%
기 735
 
1.3%
Other values (186) 11515
20.5%
Decimal Number
ValueCountFrequency (%)
1 24
63.2%
6 3
 
7.9%
8 3
 
7.9%
2 2
 
5.3%
3 2
 
5.3%
4 2
 
5.3%
0 1
 
2.6%
5 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 306
77.3%
/ 90
 
22.7%
Uppercase Letter
ValueCountFrequency (%)
V 96
50.0%
T 96
50.0%
Open Punctuation
ValueCountFrequency (%)
( 6504
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6504
100.0%
Space Separator
ValueCountFrequency (%)
435
100.0%
Lowercase Letter
ValueCountFrequency (%)
h 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56254
80.0%
Common 13877
 
19.7%
Latin 199
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 6188
11.0%
가 6145
10.9%
불 6034
10.7%
데 5961
10.6%
터 5949
10.6%
추 5947
10.6%
출 5947
10.6%
자 951
 
1.7%
장 882
 
1.6%
기 735
 
1.3%
Other values (186) 11515
20.5%
Common
ValueCountFrequency (%)
( 6504
46.9%
) 6504
46.9%
435
 
3.1%
, 306
 
2.2%
/ 90
 
0.6%
1 24
 
0.2%
6 3
 
< 0.1%
8 3
 
< 0.1%
2 2
 
< 0.1%
3 2
 
< 0.1%
Other values (3) 4
 
< 0.1%
Latin
ValueCountFrequency (%)
V 96
48.2%
T 96
48.2%
h 7
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56254
80.0%
ASCII 14076
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 6504
46.2%
) 6504
46.2%
435
 
3.1%
, 306
 
2.2%
V 96
 
0.7%
T 96
 
0.7%
/ 90
 
0.6%
1 24
 
0.2%
h 7
 
< 0.1%
6 3
 
< 0.1%
Other values (6) 11
 
0.1%
Hangul
ValueCountFrequency (%)
이 6188
11.0%
가 6145
10.9%
불 6034
10.7%
데 5961
10.6%
터 5949
10.6%
추 5947
10.6%
출 5947
10.6%
자 951
 
1.7%
장 882
 
1.6%
기 735
 
1.3%
Other values (186) 11515
20.5%

폐기물_규격
Text

Distinct359
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:34:01.154377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length9
Mean length9.9208
Min length2

Characters and Unicode

Total characters99208
Distinct characters217
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)1.0%

Sample

1st row주방용품 > 화장대>거울포함
2nd row(데이터추출불가)
3rd row(데이터추출불가)
4th row 전기매트
5th row(데이터추출불가)
ValueCountFrequency (%)
데이터추출불가 5947
41.7%
1898
 
13.3%
주방용품 902
 
6.3%
기타 492
 
3.5%
가구류 353
 
2.5%
1인용 214
 
1.5%
모든규격 212
 
1.5%
일반의자(1인용 188
 
1.3%
의자>일반의자(1인용 120
 
0.8%
2인용 117
 
0.8%
Other values (333) 3807
26.7%
2023-12-12T09:34:01.611114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 7244
 
7.3%
) 7244
 
7.3%
이 7055
 
7.1%
가 6953
 
7.0%
불 5997
 
6.0%
데 5957
 
6.0%
터 5947
 
6.0%
추 5947
 
6.0%
출 5947
 
6.0%
4463
 
4.5%
Other values (207) 36454
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70740
71.3%
Open Punctuation 7244
 
7.3%
Close Punctuation 7244
 
7.3%
Space Separator 4463
 
4.5%
Math Symbol 4024
 
4.1%
Decimal Number 3671
 
3.7%
Lowercase Letter 841
 
0.8%
Other Punctuation 432
 
0.4%
Other Symbol 423
 
0.4%
Uppercase Letter 126
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7055
 
10.0%
가 6953
 
9.8%
불 5997
 
8.5%
데 5957
 
8.4%
터 5947
 
8.4%
추 5947
 
8.4%
출 5947
 
8.4%
용 2692
 
3.8%
인 1482
 
2.1%
방 1416
 
2.0%
Other values (178) 21347
30.2%
Decimal Number
ValueCountFrequency (%)
1 1643
44.8%
2 523
 
14.2%
0 365
 
9.9%
4 354
 
9.6%
6 237
 
6.5%
3 206
 
5.6%
5 178
 
4.8%
9 78
 
2.1%
8 70
 
1.9%
7 17
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
m 413
49.1%
c 186
22.1%
g 106
 
12.6%
k 106
 
12.6%
ℓ 30
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
V 61
48.4%
T 61
48.4%
K 2
 
1.6%
G 2
 
1.6%
Math Symbol
ValueCountFrequency (%)
> 3794
94.3%
～ 143
 
3.6%
~ 87
 
2.2%
Other Symbol
ValueCountFrequency (%)
㎡ 360
85.1%
㎝ 63
 
14.9%
Other Punctuation
ValueCountFrequency (%)
, 344
79.6%
. 88
 
20.4%
Open Punctuation
ValueCountFrequency (%)
( 7244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7244
100.0%
Space Separator
ValueCountFrequency (%)
4463
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70740
71.3%
Common 27531
 
27.8%
Latin 937
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7055
 
10.0%
가 6953
 
9.8%
불 5997
 
8.5%
데 5957
 
8.4%
터 5947
 
8.4%
추 5947
 
8.4%
출 5947
 
8.4%
용 2692
 
3.8%
인 1482
 
2.1%
방 1416
 
2.0%
Other values (178) 21347
30.2%
Common
ValueCountFrequency (%)
( 7244
26.3%
) 7244
26.3%
4463
16.2%
> 3794
13.8%
1 1643
 
6.0%
2 523
 
1.9%
0 365
 
1.3%
㎡ 360
 
1.3%
4 354
 
1.3%
, 344
 
1.2%
Other values (11) 1197
 
4.3%
Latin
ValueCountFrequency (%)
m 413
44.1%
c 186
19.9%
g 106
 
11.3%
k 106
 
11.3%
V 61
 
6.5%
T 61
 
6.5%
K 2
 
0.2%
G 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70740
71.3%
ASCII 27872
 
28.1%
CJK Compat 423
 
0.4%
None 143
 
0.1%
Letterlike Symbols 30
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 7244
26.0%
) 7244
26.0%
4463
16.0%
> 3794
13.6%
1 1643
 
5.9%
2 523
 
1.9%
m 413
 
1.5%
0 365
 
1.3%
4 354
 
1.3%
, 344
 
1.2%
Other values (15) 1485
 
5.3%
Hangul
ValueCountFrequency (%)
이 7055
 
10.0%
가 6953
 
9.8%
불 5997
 
8.5%
데 5957
 
8.4%
터 5947
 
8.4%
추 5947
 
8.4%
출 5947
 
8.4%
용 2692
 
3.8%
인 1482
 
2.1%
방 1416
 
2.0%
Other values (178) 21347
30.2%
CJK Compat
ValueCountFrequency (%)
㎡ 360
85.1%
㎝ 63
 
14.9%
None
ValueCountFrequency (%)
～ 143
100.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 30
100.0%

폐기물_개수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
(데이터추출불가)
5947 
1
3435 
2
 
369
3
 
114
4
 
67
Other values (14)
 
68

Length

Max length9
Median length9
Mean length5.7591
Min length1

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row1
2nd row(데이터추출불가)
3rd row(데이터추출불가)
4th row1
5th row(데이터추출불가)

Common Values

ValueCountFrequency (%)
(데이터추출불가) 5947
59.5%
1 3435
34.4%
2 369
 
3.7%
3 114
 
1.1%
4 67
 
0.7%
5 21
 
0.2%
6 17
 
0.2%
7 9
 
0.1%
8 5
 
0.1%
11 4
 
< 0.1%
Other values (9) 12
 
0.1%

Length

2023-12-12T09:34:01.763335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
데이터추출불가 5947
59.5%
1 3435
34.4%
2 369
 
3.7%
3 114
 
1.1%
4 67
 
0.7%
5 21
 
0.2%
6 17
 
0.2%
7 9
 
0.1%
8 5
 
< 0.1%
11 4
 
< 0.1%
Other values (9) 12
 
0.1%

접수경로
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고양시 대형폐기물 인터넷신고센터
5947 
빼기(모바일 폐기물 수거 서비스)
4053 

Length

Max length18
Median length17
Mean length17.4053
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row빼기(모바일 폐기물 수거 서비스)
2nd row고양시 대형폐기물 인터넷신고센터
3rd row고양시 대형폐기물 인터넷신고센터
4th row빼기(모바일 폐기물 수거 서비스)
5th row고양시 대형폐기물 인터넷신고센터

Common Values

ValueCountFrequency (%)
고양시 대형폐기물 인터넷신고센터 5947
59.5%
빼기(모바일 폐기물 수거 서비스) 4053
40.5%

Length

2023-12-12T09:34:01.874454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:34:01.966177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양시 5947
17.5%
대형폐기물 5947
17.5%
인터넷신고센터 5947
17.5%
빼기(모바일 4053
11.9%
폐기물 4053
11.9%
수거 4053
11.9%
서비스 4053
11.9%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고양시청 자원순환과
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고양시청 자원순환과
2nd row고양시청 자원순환과
3rd row고양시청 자원순환과
4th row고양시청 자원순환과
5th row고양시청 자원순환과

Common Values

ValueCountFrequency (%)
고양시청 자원순환과 10000
100.0%

Length

2023-12-12T09:34:02.054776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:34:02.133770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양시청 10000
50.0%
자원순환과 10000
50.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
031-8075-2686
10000 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-8075-2686
2nd row031-8075-2686
3rd row031-8075-2686
4th row031-8075-2686
5th row031-8075-2686

Common Values

ValueCountFrequency (%)
031-8075-2686 10000
100.0%

Length

2023-12-12T09:34:02.217923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:34:02.298443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-8075-2686 10000
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-10-09
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-09
2nd row2023-10-09
3rd row2023-10-09
4th row2023-10-09
5th row2023-10-09

Common Values

ValueCountFrequency (%)
2023-10-09 10000
100.0%

Length

2023-12-12T09:34:02.389667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:34:02.471873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-09 10000
100.0%

Correlations

2023-12-12T09:34:02.526803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수거장소_행정동폐기물_개수접수경로
수거장소_행정동1.0000.7121.000
폐기물_개수0.7121.0001.000
접수경로1.0001.0001.000
2023-12-12T09:34:02.608463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접수경로수거장소_행정동폐기물_개수
접수경로1.0000.9980.999
수거장소_행정동0.9981.0000.253
폐기물_개수0.9990.2531.000
2023-12-12T09:34:02.744309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수거장소_행정동폐기물_개수접수경로
수거장소_행정동1.0000.2530.998
폐기물_개수0.2531.0000.999
접수경로0.9980.9991.000

Missing values

2023-12-12T09:33:59.556011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:33:59.707280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

신청날짜수거장소_행정동폐기물_종류폐기물_규격폐기물_개수접수경로관리기관전화번호데이터기준일자
235842023-06-19 22:51덕이동화장대(거울,의자포함)주방용품 > 화장대>거울포함1빼기(모바일 폐기물 수거 서비스)고양시청 자원순환과031-8075-26862023-10-09
609032023-02-13(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-09
459202022-07-14(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-09
147242022-11-03삼송1동가전제품전기매트1빼기(모바일 폐기물 수거 서비스)고양시청 자원순환과031-8075-26862023-10-09
399462022-04-13(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-09
536662022-10-28(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-09
390182022-03-29(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-09
79692022-04-29행주동기타가방1빼기(모바일 폐기물 수거 서비스)고양시청 자원순환과031-8075-26862023-10-09
156892022-12-14 22:01화전동거실테이블(탁자) 외 1개가구류 > 탁자>탁자(길이1m이상) 외 2개2빼기(모바일 폐기물 수거 서비스)고양시청 자원순환과031-8075-26862023-10-09
394922022-04-06(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-09
신청날짜수거장소_행정동폐기물_종류폐기물_규격폐기물_개수접수경로관리기관전화번호데이터기준일자
110692022-08-04화정2동기타블라인드2빼기(모바일 폐기물 수거 서비스)고양시청 자원순환과031-8075-26862023-10-09
244662023-07-17 13:22행신2동장롱주방용품 > 장롱>폭 90cm~120cm 미만1빼기(모바일 폐기물 수거 서비스)고양시청 자원순환과031-8075-26862023-10-09
64642022-03-21흥도동침대매트리스1인용1빼기(모바일 폐기물 수거 서비스)고양시청 자원순환과031-8075-26862023-10-09
588752023-01-16(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-09
460852022-07-17(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-09
252852023-08-07 22:09삼송2동선반/진열대주방용품 > 진열장>1㎡이상1빼기(모바일 폐기물 수거 서비스)고양시청 자원순환과031-8075-26862023-10-09
12762021-10-26성사1동쇼파(분리기준)2～3인용1빼기(모바일 폐기물 수거 서비스)고양시청 자원순환과031-8075-26862023-10-09
483292022-08-16(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-09
556162022-11-27(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-09
148652022-11-06흥도동돗자리,대자리4㎡미만1빼기(모바일 폐기물 수거 서비스)고양시청 자원순환과031-8075-26862023-10-09

Duplicate rows

Most frequently occurring

신청날짜수거장소_행정동폐기물_종류폐기물_규격폐기물_개수접수경로관리기관전화번호데이터기준일자# duplicates
5452023-02-20(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-0926
5742023-03-21(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-0922
5112023-01-17(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-0921
3612022-08-25(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-0920
4102022-10-11(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-0920
5682023-03-15(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-0920
1732022-02-28(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-0919
3122022-07-11(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-0919
3742022-09-07(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-0919
4192022-10-20(데이터추출불가)(데이터추출불가)(데이터추출불가)(데이터추출불가)고양시 대형폐기물 인터넷신고센터고양시청 자원순환과031-8075-26862023-10-0919