Overview

Dataset statistics

Number of variables10
Number of observations151
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.7%
Total size in memory12.2 KiB
Average record size in memory82.9 B

Variable types

Categorical5
Text2
Numeric2
DateTime1

Dataset

Description경기도 양주시 저단형 현수막게시대 현황 데이터입니다. 세부내역에는 게시대 규격, 게시대 위치 등을 포함하여 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15100782/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리부서명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (0.7%) duplicate rowsDuplicates
규격(단위-mm) is highly overall correlated with 형식High correlation
형식 is highly overall correlated with 규격(단위-mm)High correlation
규격(단위-mm) is highly imbalanced (55.1%)Imbalance
형식 is highly imbalanced (55.1%)Imbalance
수량 is highly imbalanced (87.0%)Imbalance

Reproduction

Analysis started2023-12-12 13:43:00.636421
Analysis finished2023-12-12 13:43:01.749966
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
경기도 양주시
151 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 양주시
2nd row경기도 양주시
3rd row경기도 양주시
4th row경기도 양주시
5th row경기도 양주시

Common Values

ValueCountFrequency (%)
경기도 양주시 151
100.0%

Length

2023-12-12T22:43:01.823506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:01.952903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 151
50.0%
양주시 151
50.0%

게시대명
Text

Distinct150
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:43:02.200682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.317881
Min length10

Characters and Unicode

Total characters1860
Distinct characters40
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)98.7%

Sample

1st row은현면(은현-1, 2)
2nd row남면(남면-1~4)
3rd row회천1동(회천1-1)
4th row회천1동(회천1-2)
5th row회천1동(회천1-3)
ValueCountFrequency (%)
기타[문화관광과(박물관 2
 
1.3%
이관 2
 
1.3%
주택과(양주시청-133 1
 
0.6%
주택과(양주시청-77 1
 
0.6%
주택과(양주시청-79 1
 
0.6%
주택과(양주시청-115 1
 
0.6%
주택과(양주시청-81 1
 
0.6%
주택과(양주시청-82 1
 
0.6%
주택과(양주시청-83 1
 
0.6%
주택과(양주시청-84 1
 
0.6%
Other values (143) 143
92.3%
2023-12-12T22:43:02.641326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 272
14.6%
- 153
8.2%
) 151
8.1%
( 151
8.1%
과 138
 
7.4%
청 136
 
7.3%
시 136
 
7.3%
양 136
 
7.3%
택 136
 
7.3%
1 84
 
4.5%
Other values (30) 367
19.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1040
55.9%
Decimal Number 352
 
18.9%
Dash Punctuation 153
 
8.2%
Close Punctuation 153
 
8.2%
Open Punctuation 153
 
8.2%
Space Separator 4
 
0.2%
Math Symbol 3
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 272
26.2%
과 138
13.3%
청 136
13.1%
시 136
13.1%
양 136
13.1%
택 136
13.1%
천 22
 
2.1%
회 22
 
2.1%
동 11
 
1.1%
관 6
 
0.6%
Other values (12) 25
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 84
23.9%
2 47
13.4%
3 37
10.5%
0 34
9.7%
6 27
 
7.7%
4 26
 
7.4%
7 25
 
7.1%
9 25
 
7.1%
8 24
 
6.8%
5 23
 
6.5%
Close Punctuation
ValueCountFrequency (%)
) 151
98.7%
] 2
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 151
98.7%
[ 2
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1040
55.9%
Common 820
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 272
26.2%
과 138
13.3%
청 136
13.1%
시 136
13.1%
양 136
13.1%
택 136
13.1%
천 22
 
2.1%
회 22
 
2.1%
동 11
 
1.1%
관 6
 
0.6%
Other values (12) 25
 
2.4%
Common
ValueCountFrequency (%)
- 153
18.7%
) 151
18.4%
( 151
18.4%
1 84
10.2%
2 47
 
5.7%
3 37
 
4.5%
0 34
 
4.1%
6 27
 
3.3%
4 26
 
3.2%
7 25
 
3.0%
Other values (8) 85
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1040
55.9%
ASCII 820
44.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 272
26.2%
과 138
13.3%
청 136
13.1%
시 136
13.1%
양 136
13.1%
택 136
13.1%
천 22
 
2.1%
회 22
 
2.1%
동 11
 
1.1%
관 6
 
0.6%
Other values (12) 25
 
2.4%
ASCII
ValueCountFrequency (%)
- 153
18.7%
) 151
18.4%
( 151
18.4%
1 84
10.2%
2 47
 
5.7%
3 37
 
4.5%
0 34
 
4.1%
6 27
 
3.3%
4 26
 
3.2%
7 25
 
3.0%
Other values (8) 85
10.4%

소재지지번주소
Text

Distinct111
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T22:43:03.002939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length18.033113
Min length13

Characters and Unicode

Total characters2723
Distinct characters73
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

Unique82 ?
Unique (%)54.3%

Sample

1st row경기도 양주시 은현면 선암리 341-5
2nd row경기도 양주시 신산리 268-20
3rd row경기도 양주시 덕정동 350-242
4th row경기도 양주시 덕정동 211
5th row경기도 양주시 덕정동 280-4
ValueCountFrequency (%)
경기도 151
23.1%
양주시 151
23.1%
옥정동 29
 
4.4%
백석읍 15
 
2.3%
광적면 12
 
1.8%
광사동 11
 
1.7%
은현면 10
 
1.5%
장흥면 9
 
1.4%
덕계동 9
 
1.4%
가납리 8
 
1.2%
Other values (145) 250
38.2%
2023-12-12T22:43:03.501472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
504
18.5%
양 158
 
5.8%
도 152
 
5.6%
기 152
 
5.6%
경 151
 
5.5%
주 151
 
5.5%
시 151
 
5.5%
- 110
 
4.0%
1 110
 
4.0%
동 97
 
3.6%
Other values (63) 987
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1515
55.6%
Decimal Number 594
 
21.8%
Space Separator 504
 
18.5%
Dash Punctuation 110
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 158
10.4%
도 152
10.0%
기 152
10.0%
경 151
10.0%
주 151
10.0%
시 151
10.0%
동 97
 
6.4%
리 54
 
3.6%
정 42
 
2.8%
면 38
 
2.5%
Other values (51) 369
24.4%
Decimal Number
ValueCountFrequency (%)
1 110
18.5%
5 73
12.3%
3 73
12.3%
4 60
10.1%
0 59
9.9%
2 55
9.3%
6 49
8.2%
9 47
7.9%
7 37
 
6.2%
8 31
 
5.2%
Space Separator
ValueCountFrequency (%)
504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1515
55.6%
Common 1208
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 158
10.4%
도 152
10.0%
기 152
10.0%
경 151
10.0%
주 151
10.0%
시 151
10.0%
동 97
 
6.4%
리 54
 
3.6%
정 42
 
2.8%
면 38
 
2.5%
Other values (51) 369
24.4%
Common
ValueCountFrequency (%)
504
41.7%
- 110
 
9.1%
1 110
 
9.1%
5 73
 
6.0%
3 73
 
6.0%
4 60
 
5.0%
0 59
 
4.9%
2 55
 
4.6%
6 49
 
4.1%
9 47
 
3.9%
Other values (2) 68
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1515
55.6%
ASCII 1208
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
504
41.7%
- 110
 
9.1%
1 110
 
9.1%
5 73
 
6.0%
3 73
 
6.0%
4 60
 
5.0%
0 59
 
4.9%
2 55
 
4.6%
6 49
 
4.1%
9 47
 
3.9%
Other values (2) 68
 
5.6%
Hangul
ValueCountFrequency (%)
양 158
10.4%
도 152
10.0%
기 152
10.0%
경 151
10.0%
주 151
10.0%
시 151
10.0%
동 97
 
6.4%
리 54
 
3.6%
정 42
 
2.8%
면 38
 
2.5%
Other values (51) 369
24.4%

위도
Real number (ℝ)

Distinct112
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.815669
Minimum37.699813
Maximum37.910578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T22:43:03.677713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.699813
5-th percentile37.718936
Q137.796783
median37.818035
Q337.834451
95-th percentile37.893442
Maximum37.910578
Range0.2107642
Interquartile range (IQR)0.037668

Descriptive statistics

Standard deviation0.039090592
Coefficient of variation (CV)0.0010337142
Kurtosis1.7377795
Mean37.815669
Median Absolute Deviation (MAD)0.0188486
Skewness-0.38210367
Sum5710.166
Variance0.0015280744
MonotonicityNot monotonic
2023-12-12T22:43:04.131836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7846432 7
 
4.6%
37.8180353 4
 
2.6%
37.8193122 3
 
2.0%
37.8142439 3
 
2.0%
37.8223794 3
 
2.0%
37.8166719 3
 
2.0%
37.7783714 2
 
1.3%
37.8372554 2
 
1.3%
37.7948347 2
 
1.3%
37.8049087 2
 
1.3%
Other values (102) 120
79.5%
ValueCountFrequency (%)
37.6998135 1
0.7%
37.7003947 1
0.7%
37.7153976 2
1.3%
37.7167342 1
0.7%
37.71694 1
0.7%
37.7180715 1
0.7%
37.718804 1
0.7%
37.7190683 1
0.7%
37.7739234 2
1.3%
37.7783714 2
1.3%
ValueCountFrequency (%)
37.9105777 1
0.7%
37.9103835 2
1.3%
37.9024855 1
0.7%
37.8989027 1
0.7%
37.8982869 1
0.7%
37.8935145 1
0.7%
37.8935136 1
0.7%
37.8933699 1
0.7%
37.8747926 1
0.7%
37.8717406 1
0.7%

경도
Real number (ℝ)

Distinct112
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04255
Minimum126.93097
Maximum127.10605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T22:43:04.278438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.93097
5-th percentile126.9719
Q1126.99221
median127.05556
Q3127.08125
95-th percentile127.0973
Maximum127.10605
Range0.1750819
Interquartile range (IQR)0.0890462

Descriptive statistics

Standard deviation0.045967034
Coefficient of variation (CV)0.00036182391
Kurtosis-1.0711544
Mean127.04255
Median Absolute Deviation (MAD)0.0335175
Skewness-0.53361297
Sum19183.426
Variance0.0021129682
MonotonicityNot monotonic
2023-12-12T22:43:04.444922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0679682 7
 
4.6%
127.0907559 4
 
2.6%
126.9848968 3
 
2.0%
127.0890758 3
 
2.0%
127.0871151 3
 
2.0%
127.09164 3
 
2.0%
127.0493279 2
 
1.3%
127.0742043 2
 
1.3%
127.0795851 2
 
1.3%
126.9737265 2
 
1.3%
Other values (102) 120
79.5%
ValueCountFrequency (%)
126.9309723 1
0.7%
126.9412237 1
0.7%
126.9415951 1
0.7%
126.9547545 1
0.7%
126.9692773 1
0.7%
126.9700098 1
0.7%
126.9707878 2
1.3%
126.9730046 1
0.7%
126.9733492 1
0.7%
126.9737265 2
1.3%
ValueCountFrequency (%)
127.1060542 1
0.7%
127.1016362 2
1.3%
127.1011282 1
0.7%
127.0988775 2
1.3%
127.0986143 2
1.3%
127.0959858 1
0.7%
127.0959275 1
0.7%
127.0955514 2
1.3%
127.0954494 1
0.7%
127.0929087 1
0.7%

규격(단위-mm)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
5000*700
129 
5850*700
17 
4000*500
 
5

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5000*700
2nd row5000*700
3rd row5850*700
4th row5850*700
5th row5850*700

Common Values

ValueCountFrequency (%)
5000*700 129
85.4%
5850*700 17
 
11.3%
4000*500 5
 
3.3%

Length

2023-12-12T22:43:04.616262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:04.751796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5000*700 129
85.4%
5850*700 17
 
11.3%
4000*500 5
 
3.3%

형식
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1단형
129 
1단형(구형)
17 
2단형
 
5

Length

Max length7
Median length3
Mean length3.4503311
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1단형
2nd row1단형
3rd row1단형(구형)
4th row1단형(구형)
5th row1단형(구형)

Common Values

ValueCountFrequency (%)
1단형 129
85.4%
1단형(구형) 17
 
11.3%
2단형 5
 
3.3%

Length

2023-12-12T22:43:04.888021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:05.035557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1단형 129
85.4%
1단형(구형 17
 
11.3%
2단형 5
 
3.3%

수량
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1개소
146 
2개소
 
2
4개소
 
2
6개소
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row2개소
2nd row4개소
3rd row1개소
4th row1개소
5th row1개소

Common Values

ValueCountFrequency (%)
1개소 146
96.7%
2개소 2
 
1.3%
4개소 2
 
1.3%
6개소 1
 
0.7%

Length

2023-12-12T22:43:05.162334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:05.279439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1개소 146
96.7%
2개소 2
 
1.3%
4개소 2
 
1.3%
6개소 1
 
0.7%

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
주택과
151 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주택과 151
100.0%

Length

2023-12-12T22:43:05.383966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:43:05.480870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택과 151
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2023-06-07 00:00:00
Maximum2023-06-07 00:00:00
2023-12-12T22:43:05.572954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:05.679884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:43:01.162901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:00.954788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:01.274000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:43:01.053967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:43:05.755137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도규격(단위-mm)형식수량
위도1.0000.7120.2030.2030.403
경도0.7121.0000.5500.5500.095
규격(단위-mm)0.2030.5501.0001.0000.143
형식0.2030.5501.0001.0000.143
수량0.4030.0950.1430.1431.000
2023-12-12T22:43:05.853647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규격(단위-mm)수량형식
규격(단위-mm)1.0000.1341.000
수량0.1341.0000.134
형식1.0000.1341.000
2023-12-12T22:43:05.968618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도규격(단위-mm)형식수량
위도1.0000.1200.1270.1270.186
경도0.1201.0000.3840.3840.052
규격(단위-mm)0.1270.3841.0001.0000.134
형식0.1270.3841.0001.0000.134
수량0.1860.0520.1340.1341.000

Missing values

2023-12-12T22:43:01.499147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:43:01.667481image/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

관리기관명게시대명소재지지번주소위도경도규격(단위-mm)형식수량관리부서명데이터기준일자
0경기도 양주시은현면(은현-1, 2)경기도 양주시 은현면 선암리 341-537.874793127.024145000*7001단형2개소주택과2023-06-07
1경기도 양주시남면(남면-1~4)경기도 양주시 신산리 268-2037.898287126.9754655000*7001단형4개소주택과2023-06-07
2경기도 양주시회천1동(회천1-1)경기도 양주시 덕정동 350-24237.844284127.0618155850*7001단형(구형)1개소주택과2023-06-07
3경기도 양주시회천1동(회천1-2)경기도 양주시 덕정동 21137.841558127.0627095850*7001단형(구형)1개소주택과2023-06-07
4경기도 양주시회천1동(회천1-3)경기도 양주시 덕정동 280-437.836875127.0629175850*7001단형(구형)1개소주택과2023-06-07
5경기도 양주시회천2동(회천2-1~6)경기도 양주시 덕계동 476-637.822141127.046645850*7001단형(구형)6개소주택과2023-06-07
6경기도 양주시회천2동(회천2-7)경기도 양주시 회정동 433-337.832738127.0538985850*7001단형(구형)1개소주택과2023-06-07
7경기도 양주시회천2동(회천2-8, 9)경기도 양주시 덕계동 694-1737.817693127.045895850*7001단형(구형)2개소주택과2023-06-07
8경기도 양주시회천2동(회천2-10)경기도 양주시 덕계동 469-337.82078127.047715850*7001단형(구형)1개소주택과2023-06-07
9경기도 양주시회천3동(회천3-1)경기도 양주시 고암동 119-237.834074127.0691655850*7001단형(구형)1개소주택과2023-06-07
관리기관명게시대명소재지지번주소위도경도규격(단위-mm)형식수량관리부서명데이터기준일자
141경기도 양주시주택과(양주시청-127)경기도 양주시 옥정동 93537.818035127.0907565000*7001단형1개소주택과2023-06-07
142경기도 양주시주택과(양주시청-128)경기도 양주시 옥정동 958-137.820567127.0912875000*7001단형1개소주택과2023-06-07
143경기도 양주시주택과(양주시청-129)경기도 양주시 옥정동 958-137.820567127.0912875000*7001단형1개소주택과2023-06-07
144경기도 양주시주택과(양주시청-130)경기도 양주시 옥정동 96137.822379127.0871155000*7001단형1개소주택과2023-06-07
145경기도 양주시주택과(양주시청-131)경기도 양주시 옥정동 96137.822379127.0871155000*7001단형1개소주택과2023-06-07
146경기도 양주시주택과(양주시청-132)경기도 양주시 옥정동 96137.822379127.0871155000*7001단형1개소주택과2023-06-07
147경기도 양주시주택과(양주시청-133)경기도 양주시 옥정동 97637.836884127.0915315000*7001단형1개소주택과2023-06-07
148경기도 양주시주택과(양주시청-136)경기도 양주시 회암동 566-9237.839008127.0802465000*7001단형1개소주택과2023-06-07
149경기도 양주시기타[문화관광과(박물관) 이관]경기도 양주시 율정동 301-1037.840564127.1016365000*7001단형1개소주택과2023-06-07
150경기도 양주시기타[문화관광과(박물관) 이관]경기도 양주시 율정동 301-1037.840564127.1016365000*7001단형1개소주택과2023-06-07

Duplicate rows

Most frequently occurring

관리기관명게시대명소재지지번주소위도경도규격(단위-mm)형식수량관리부서명데이터기준일자# duplicates
0경기도 양주시기타[문화관광과(박물관) 이관]경기도 양주시 율정동 301-1037.840564127.1016365000*7001단형1개소주택과2023-06-072