Overview

Dataset statistics

Number of variables8
Number of observations449
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.5 KiB
Average record size in memory67.3 B

Variable types

Categorical2
Text2
Numeric3
DateTime1

Dataset

Description경기도 구리시 내 소독의무대상시설에 대한 정보를 제공합니다.감염병의 예방 및 관리에 관한 법률 시행령 제24조에 따라 숙박업소, 식품접객업 업소, 시내버스·농어촌버스·마을버스·시내버스·장의자동차, 공항시설, 연면적 300제곱미터 이상의 대합실, 여객운송, 철도차량과 역사 및 역 시설, 대형마트, 의료기관, 기숙사, 합숙소, 공연장, 학교, 학원, 복합용도 건축물, 50명 이상 수용하는 어린이집 및 유치원, 300세대 이상의 공동주택 등 을 제공합니다.
Author경기도 구리시
URLhttps://www.data.go.kr/data/15107943/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
우편번호 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 우편번호High correlation

Reproduction

Analysis started2024-04-29 23:01:57.384390
Analysis finished2024-04-29 23:02:00.624973
Duration3.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
구리시
449 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구리시 449
100.0%

Length

2024-04-30T08:02:00.683664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:02:00.778428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구리시 449
100.0%

시설구분
Categorical

Distinct13
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
복합건축물
127 
집단급식소
72 
공동주택
57 
식품접객업소
45 
숙박업
40 
Other values (8)
108 

Length

Max length13
Median length9
Mean length4.9131403
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
복합건축물 127
28.3%
집단급식소 72
16.0%
공동주택 57
12.7%
식품접객업소 45
 
10.0%
숙박업 40
 
8.9%
학교 32
 
7.1%
어린이집, 유치원 31
 
6.9%
병원 16
 
3.6%
대형마트,백화점,전통시장 13
 
2.9%
운수업 12
 
2.7%
Other values (3) 4
 
0.9%

Length

2024-04-30T08:02:00.891766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
복합건축물 127
26.5%
집단급식소 72
15.0%
공동주택 57
11.9%
식품접객업소 45
 
9.4%
숙박업 40
 
8.3%
학교 32
 
6.7%
어린이집 31
 
6.5%
유치원 31
 
6.5%
병원 16
 
3.3%
대형마트,백화점,전통시장 13
 
2.7%
Other values (4) 16
 
3.3%

업소명
Text

Distinct400
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-04-30T08:02:01.152000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length8.1069042
Min length3

Characters and Unicode

Total characters3640
Distinct characters421
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique351 ?
Unique (%)78.2%

Sample

1st rowALL모텔
2nd rowe모텔
3rd rowHOTEL POP(호텔팝)
4th rowM모텔
5th row갈매퍼스트호텔
ValueCountFrequency (%)
구리점 8
 
1.4%
별내역 7
 
1.2%
스타벅스 5
 
0.9%
오피스텔 5
 
0.9%
구리갈매 4
 
0.7%
구리수택점 4
 
0.7%
다인로얄팰리스 3
 
0.5%
빌딩 3
 
0.5%
호텔 3
 
0.5%
1차 3
 
0.5%
Other values (464) 538
92.3%
2024-04-30T08:02:01.593060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
3.7%
리 130
 
3.6%
구 114
 
3.1%
스 88
 
2.4%
교 82
 
2.3%
아 79
 
2.2%
원 73
 
2.0%
학 68
 
1.9%
이 68
 
1.9%
트 66
 
1.8%
Other values (411) 2738
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3257
89.5%
Space Separator 134
 
3.7%
Uppercase Letter 69
 
1.9%
Close Punctuation 48
 
1.3%
Open Punctuation 48
 
1.3%
Decimal Number 44
 
1.2%
Lowercase Letter 19
 
0.5%
Other Symbol 13
 
0.4%
Other Punctuation 6
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 130
 
4.0%
구 114
 
3.5%
스 88
 
2.7%
교 82
 
2.5%
아 79
 
2.4%
원 73
 
2.2%
학 68
 
2.1%
이 68
 
2.1%
트 66
 
2.0%
파 55
 
1.7%
Other values (363) 2434
74.7%
Uppercase Letter
ValueCountFrequency (%)
T 7
 
10.1%
L 6
 
8.7%
K 6
 
8.7%
A 5
 
7.2%
D 5
 
7.2%
S 4
 
5.8%
H 4
 
5.8%
G 3
 
4.3%
B 3
 
4.3%
M 3
 
4.3%
Other values (12) 23
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 5
26.3%
l 3
15.8%
s 2
 
10.5%
m 2
 
10.5%
g 2
 
10.5%
j 1
 
5.3%
i 1
 
5.3%
c 1
 
5.3%
t 1
 
5.3%
o 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 12
27.3%
2 12
27.3%
3 6
13.6%
4 4
 
9.1%
6 4
 
9.1%
5 3
 
6.8%
0 2
 
4.5%
9 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
/ 2
33.3%
& 1
 
16.7%
Space Separator
ValueCountFrequency (%)
134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3270
89.8%
Common 282
 
7.7%
Latin 88
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 130
 
4.0%
구 114
 
3.5%
스 88
 
2.7%
교 82
 
2.5%
아 79
 
2.4%
원 73
 
2.2%
학 68
 
2.1%
이 68
 
2.1%
트 66
 
2.0%
파 55
 
1.7%
Other values (364) 2447
74.8%
Latin
ValueCountFrequency (%)
T 7
 
8.0%
L 6
 
6.8%
K 6
 
6.8%
e 5
 
5.7%
A 5
 
5.7%
D 5
 
5.7%
S 4
 
4.5%
H 4
 
4.5%
G 3
 
3.4%
B 3
 
3.4%
Other values (22) 40
45.5%
Common
ValueCountFrequency (%)
134
47.5%
) 48
 
17.0%
( 48
 
17.0%
1 12
 
4.3%
2 12
 
4.3%
3 6
 
2.1%
4 4
 
1.4%
6 4
 
1.4%
, 3
 
1.1%
5 3
 
1.1%
Other values (5) 8
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3256
89.5%
ASCII 370
 
10.2%
None 13
 
0.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
36.2%
) 48
 
13.0%
( 48
 
13.0%
1 12
 
3.2%
2 12
 
3.2%
T 7
 
1.9%
L 6
 
1.6%
K 6
 
1.6%
3 6
 
1.6%
e 5
 
1.4%
Other values (37) 86
23.2%
Hangul
ValueCountFrequency (%)
리 130
 
4.0%
구 114
 
3.5%
스 88
 
2.7%
교 82
 
2.5%
아 79
 
2.4%
원 73
 
2.2%
학 68
 
2.1%
이 68
 
2.1%
트 66
 
2.0%
파 55
 
1.7%
Other values (362) 2433
74.7%
None
ValueCountFrequency (%)
㈜ 13
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct52
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11925.733
Minimum11901
Maximum11961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-30T08:02:01.743251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11901
5-th percentile11901
Q111914
median11926
Q311939
95-th percentile11954
Maximum11961
Range60
Interquartile range (IQR)25

Descriptive statistics

Standard deviation16.559008
Coefficient of variation (CV)0.0013885107
Kurtosis-0.79857153
Mean11925.733
Median Absolute Deviation (MAD)12
Skewness0.12315021
Sum5354654
Variance274.20073
MonotonicityNot monotonic
2024-04-30T08:02:01.902337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11901 54
 
12.0%
11927 38
 
8.5%
11902 27
 
6.0%
11940 23
 
5.1%
11921 22
 
4.9%
11928 17
 
3.8%
11914 15
 
3.3%
11922 14
 
3.1%
11925 13
 
2.9%
11918 12
 
2.7%
Other values (42) 214
47.7%
ValueCountFrequency (%)
11901 54
12.0%
11902 27
6.0%
11903 1
 
0.2%
11905 3
 
0.7%
11906 1
 
0.2%
11907 1
 
0.2%
11908 2
 
0.4%
11909 1
 
0.2%
11910 4
 
0.9%
11912 4
 
0.9%
ValueCountFrequency (%)
11961 4
 
0.9%
11960 7
1.6%
11958 2
 
0.4%
11955 4
 
0.9%
11954 8
1.8%
11953 1
 
0.2%
11952 12
2.7%
11951 2
 
0.4%
11949 6
1.3%
11948 6
1.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct355
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.605069
Minimum37.562588
Maximum37.640595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-30T08:02:02.066782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.562588
5-th percentile37.586754
Q137.595227
median37.600284
Q337.61053
95-th percentile37.635732
Maximum37.640595
Range0.07800672
Interquartile range (IQR)0.01530376

Descriptive statistics

Standard deviation0.01553058
Coefficient of variation (CV)0.00041299165
Kurtosis-0.18687447
Mean37.605069
Median Absolute Deviation (MAD)0.00811098
Skewness0.79289214
Sum16884.676
Variance0.00024119891
MonotonicityNot monotonic
2024-04-30T08:02:02.231372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.63381751 5
 
1.1%
37.60513818 4
 
0.9%
37.59522671 4
 
0.9%
37.59188092 4
 
0.9%
37.60127751 3
 
0.7%
37.60725953 3
 
0.7%
37.59115296 3
 
0.7%
37.62731539 3
 
0.7%
37.59654237 3
 
0.7%
37.60445079 3
 
0.7%
Other values (345) 414
92.2%
ValueCountFrequency (%)
37.56258807 1
0.2%
37.56397777 1
0.2%
37.58042225 1
0.2%
37.5809185 1
0.2%
37.58127791 1
0.2%
37.58148251 1
0.2%
37.58210908 1
0.2%
37.58268565 1
0.2%
37.58374223 1
0.2%
37.58453912 1
0.2%
ValueCountFrequency (%)
37.64059479 2
0.4%
37.63992339 1
0.2%
37.63990972 1
0.2%
37.63943045 1
0.2%
37.63914734 1
0.2%
37.63895377 1
0.2%
37.63883662 1
0.2%
37.63865336 1
0.2%
37.63843466 1
0.2%
37.63837172 1
0.2%

경도
Real number (ℝ)

Distinct355
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.13516
Minimum127.11118
Maximum127.16005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-30T08:02:02.405924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.11118
5-th percentile127.11631
Q1127.13061
median127.13711
Q3127.14135
95-th percentile127.14773
Maximum127.16005
Range0.0488724
Interquartile range (IQR)0.0107389

Descriptive statistics

Standard deviation0.0096650982
Coefficient of variation (CV)7.6022228 × 10-5
Kurtosis-0.11779672
Mean127.13516
Median Absolute Deviation (MAD)0.0047568
Skewness-0.59691246
Sum57083.687
Variance9.3414123 × 10-5
MonotonicityNot monotonic
2024-04-30T08:02:02.565386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.118339 5
 
1.1%
127.1404788 4
 
0.9%
127.1245238 4
 
0.9%
127.1513092 4
 
0.9%
127.1325051 3
 
0.7%
127.1422553 3
 
0.7%
127.1341737 3
 
0.7%
127.1139748 3
 
0.7%
127.1380296 3
 
0.7%
127.1314943 3
 
0.7%
Other values (345) 414
92.2%
ValueCountFrequency (%)
127.1111784 1
 
0.2%
127.1112002 1
 
0.2%
127.1121348 1
 
0.2%
127.1124531 1
 
0.2%
127.1127604 1
 
0.2%
127.113462 2
0.4%
127.1139748 3
0.7%
127.1144917 1
 
0.2%
127.1147115 1
 
0.2%
127.1147696 1
 
0.2%
ValueCountFrequency (%)
127.1600508 1
 
0.2%
127.1565653 2
0.4%
127.1555546 1
 
0.2%
127.1542219 1
 
0.2%
127.1532507 1
 
0.2%
127.1529755 1
 
0.2%
127.1525425 2
0.4%
127.1513092 4
0.9%
127.1513072 2
0.4%
127.1508367 1
 
0.2%

소재지도로명주소
Text

Distinct440
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-04-30T08:02:02.843769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length39
Mean length24.427617
Min length14

Characters and Unicode

Total characters10968
Distinct characters243
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique431 ?
Unique (%)96.0%

Sample

1st row경기도 구리시 체육관로172번길 49 (수택동)
2nd row경기도 구리시 체육관로172번길 47 (수택동,(3,4,5층))
3rd row경기도 구리시 안골로57번길 10-8 (수택동,,28)
4th row경기도 구리시 체육관로171번길 38, M모텔 2~6층 (교문동)
5th row경기도 구리시 갈매중앙로 89-7, 3-7층 (갈매동, 퍼스트호텔)
ValueCountFrequency (%)
구리시 449
19.8%
경기도 392
 
17.3%
수택동 68
 
3.0%
경기 56
 
2.5%
인창동 52
 
2.3%
교문동 44
 
1.9%
갈매중앙로 31
 
1.4%
경춘로 28
 
1.2%
갈매동 28
 
1.2%
동구릉로 26
 
1.1%
Other values (517) 1090
48.1%
2024-04-30T08:02:03.363513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1877
 
17.1%
구 517
 
4.7%
경 493
 
4.5%
리 470
 
4.3%
시 453
 
4.1%
기 448
 
4.1%
로 439
 
4.0%
1 394
 
3.6%
도 392
 
3.6%
동 321
 
2.9%
Other values (233) 5164
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6434
58.7%
Space Separator 1877
 
17.1%
Decimal Number 1798
 
16.4%
Open Punctuation 262
 
2.4%
Close Punctuation 262
 
2.4%
Other Punctuation 232
 
2.1%
Dash Punctuation 69
 
0.6%
Math Symbol 20
 
0.2%
Uppercase Letter 12
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 517
 
8.0%
경 493
 
7.7%
리 470
 
7.3%
시 453
 
7.0%
기 448
 
7.0%
로 439
 
6.8%
도 392
 
6.1%
동 321
 
5.0%
길 184
 
2.9%
번 174
 
2.7%
Other values (207) 2543
39.5%
Decimal Number
ValueCountFrequency (%)
1 394
21.9%
2 232
12.9%
4 205
11.4%
3 188
10.5%
7 176
9.8%
5 158
8.8%
6 147
 
8.2%
8 103
 
5.7%
0 99
 
5.5%
9 96
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
H 3
25.0%
L 3
25.0%
M 2
16.7%
X 1
 
8.3%
I 1
 
8.3%
D 1
 
8.3%
B 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 227
97.8%
. 4
 
1.7%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1877
100.0%
Open Punctuation
ValueCountFrequency (%)
( 262
100.0%
Close Punctuation
ValueCountFrequency (%)
) 262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6434
58.7%
Common 4520
41.2%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 517
 
8.0%
경 493
 
7.7%
리 470
 
7.3%
시 453
 
7.0%
기 448
 
7.0%
로 439
 
6.8%
도 392
 
6.1%
동 321
 
5.0%
길 184
 
2.9%
번 174
 
2.7%
Other values (207) 2543
39.5%
Common
ValueCountFrequency (%)
1877
41.5%
1 394
 
8.7%
( 262
 
5.8%
) 262
 
5.8%
2 232
 
5.1%
, 227
 
5.0%
4 205
 
4.5%
3 188
 
4.2%
7 176
 
3.9%
5 158
 
3.5%
Other values (8) 539
 
11.9%
Latin
ValueCountFrequency (%)
H 3
21.4%
L 3
21.4%
M 2
14.3%
e 2
14.3%
X 1
 
7.1%
I 1
 
7.1%
D 1
 
7.1%
B 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6434
58.7%
ASCII 4534
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1877
41.4%
1 394
 
8.7%
( 262
 
5.8%
) 262
 
5.8%
2 232
 
5.1%
, 227
 
5.0%
4 205
 
4.5%
3 188
 
4.1%
7 176
 
3.9%
5 158
 
3.5%
Other values (16) 553
 
12.2%
Hangul
ValueCountFrequency (%)
구 517
 
8.0%
경 493
 
7.7%
리 470
 
7.3%
시 453
 
7.0%
기 448
 
7.0%
로 439
 
6.8%
도 392
 
6.1%
동 321
 
5.0%
길 184
 
2.9%
번 174
 
2.7%
Other values (207) 2543
39.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2024-04-18 00:00:00
Maximum2024-04-18 00:00:00
2024-04-30T08:02:03.533681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:02:03.645053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-30T08:02:00.127970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:01:59.405010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:01:59.791444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:02:00.220498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:01:59.576941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:01:59.900524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:02:00.337366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:01:59.689562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:02:00.010148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T08:02:03.734905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분우편번호위도경도
시설구분1.0000.5940.4330.352
우편번호0.5941.0000.8660.883
위도0.4330.8661.0000.653
경도0.3520.8830.6531.000
2024-04-30T08:02:03.834943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도시설구분
우편번호1.000-0.9490.4830.294
위도-0.9491.000-0.4770.201
경도0.483-0.4771.0000.153
시설구분0.2940.2010.1531.000

Missing values

2024-04-30T08:02:00.460083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T08:02:00.576489image/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

시군명시설구분업소명우편번호위도경도소재지도로명주소데이터기준일자
0구리시숙박업ALL모텔1192737.599973127.138885경기도 구리시 체육관로172번길 49 (수택동)2024-04-18
1구리시숙박업e모텔1192737.599944127.138738경기도 구리시 체육관로172번길 47 (수택동,(3,4,5층))2024-04-18
2구리시숙박업HOTEL POP(호텔팝)1192737.597603127.137621경기도 구리시 안골로57번길 10-8 (수택동,,28)2024-04-18
3구리시숙박업M모텔1192537.600134127.1339경기도 구리시 체육관로171번길 38, M모텔 2~6층 (교문동)2024-04-18
4구리시숙박업갈매퍼스트호텔1190137.632536127.116859경기도 구리시 갈매중앙로 89-7, 3-7층 (갈매동, 퍼스트호텔)2024-04-18
5구리시숙박업꿈의궁전 여관1192737.597931127.139452경기도 구리시 안골로63번길 14-22 (수택동)2024-04-18
6구리시숙박업뉴캐슬호텔1192737.599275127.137115경기도 구리시 안골로57번길 42, 뉴캐슬모텔 (수택동)2024-04-18
7구리시숙박업담스모텔1192837.598439127.141145경기도 구리시 안골로97번길 17-14 (수택동)2024-04-18
8구리시숙박업더휴식 아늑 구리점1192837.597811127.140189경기도 구리시 안골로 81-7 (수택동,,4)2024-04-18
9구리시숙박업더휴식 크로와상 구리지점1192737.597804127.136837경기도 구리시 체육관로 148 (교문동)2024-04-18
시군명시설구분업소명우편번호위도경도소재지도로명주소데이터기준일자
439구리시공동주택덕현아파트1193837.591153127.134174경기 구리시 장자대로37번길 55 (교문동, 덕현아파트)2024-04-18
440구리시공동주택갈매역아이파크1190137.633818127.118339경기 구리시 경춘북로 252 (갈매동, 갈매역아이파크)2024-04-18
441구리시공동주택인창주공2단지아파트1191737.610691127.140755경기 구리시 건원대로76번길 39 (인창동, 주공2단지아파트)2024-04-18
442구리시공동주택인창주공1단지아파트1191737.61053127.139794경기 구리시 건원대로 92 (인창동, 주공1단지아파트)2024-04-18
443구리시공동주택인창주공4단지아파트1192137.606943127.143301경기 구리시 건원대로76번길 134 (인창동, 주공4단지아파트)2024-04-18
444구리시공동주택LH갈매2단지(이스트힐)1190137.635621127.120924경기 구리시 갈매중앙로 132 (갈매동, LH이스트힐)2024-04-18
445구리시공동주택LH갈매1단지1190137.632153127.121055경기 구리시 갈매순환로 143 (갈매동, LH갈매1단지)2024-04-18
446구리시공동주택구리역한양수자인리버시티1193037.602226127.146458경기 구리시 경춘로276번길 21(수택동, 구리역 한양수자인 리버시티)2024-04-18
447구리시공동주택구리수택행복주택아파트1194037.591352127.141645경기 구리시 체육관로74번길 67 (수택동, 구리수택행복주택)2024-04-18
448구리시공동주택인창칸타빌더헤리티지아파트1191237.606824127.130731경기도 구리시 인창1로 39-9 (인창동, 인창칸타빌더헤리티지)2024-04-18