Overview

Dataset statistics

Number of variables8
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory72.3 B

Variable types

Numeric3
Categorical1
Text3
DateTime1

Dataset

Description충청남도 보령시의 실내공기질 관리대상 시설 현황 데이터로 시설명, 소재지 도로명주소, 지번주소, 위도, 경도 등의 항목으로 구성되어 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=39&beforeMenuCd=DOM_000000201001001000&publicdatapk=15116292

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
구분 has unique valuesUnique
시설명 has unique valuesUnique
소재지 도로명주소 has unique valuesUnique
소재지 지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:18:58.401023
Analysis finished2024-01-09 22:18:59.429078
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-10T07:18:59.476215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2024-01-10T07:18:59.568656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
보령시
25 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보령시 25
100.0%

Length

2024-01-10T07:18:59.662350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:18:59.729763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보령시 25
100.0%

시설명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-01-10T07:18:59.866411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length8.64
Min length5

Characters and Unicode

Total characters216
Distinct characters87
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row신제일병원
2nd row보령엘피스병원
3rd row의료법인 신드림의료재단 중앙유병원
4th row보령시립노인전문병원
5th row보령아산병원
ValueCountFrequency (%)
사회복지법인 2
 
6.5%
신제일병원 1
 
3.2%
보령엘피스병원 1
 
3.2%
명보시네마 1
 
3.2%
행복한집 1
 
3.2%
재)기독교대한감리회유지재단 1
 
3.2%
대천요양병원 1
 
3.2%
보령원(보령요양원 1
 
3.2%
보령원(보령실버홈 1
 
3.2%
생생꿈마을 1
 
3.2%
Other values (20) 20
64.5%
2024-01-10T07:19:00.141841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 14
 
6.5%
령 13
 
6.0%
이 10
 
4.6%
원 10
 
4.6%
집 9
 
4.2%
어 8
 
3.7%
린 8
 
3.7%
병 6
 
2.8%
6
 
2.8%
인 4
 
1.9%
Other values (77) 128
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 199
92.1%
Space Separator 6
 
2.8%
Open Punctuation 3
 
1.4%
Close Punctuation 3
 
1.4%
Uppercase Letter 3
 
1.4%
Decimal Number 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 14
 
7.0%
령 13
 
6.5%
이 10
 
5.0%
원 10
 
5.0%
집 9
 
4.5%
어 8
 
4.0%
린 8
 
4.0%
병 6
 
3.0%
인 4
 
2.0%
양 3
 
1.5%
Other values (69) 114
57.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
C 1
33.3%
V 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 199
92.1%
Common 14
 
6.5%
Latin 3
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 14
 
7.0%
령 13
 
6.5%
이 10
 
5.0%
원 10
 
5.0%
집 9
 
4.5%
어 8
 
4.0%
린 8
 
4.0%
병 6
 
3.0%
인 4
 
2.0%
양 3
 
1.5%
Other values (69) 114
57.3%
Common
ValueCountFrequency (%)
6
42.9%
( 3
21.4%
) 3
21.4%
2 1
 
7.1%
4 1
 
7.1%
Latin
ValueCountFrequency (%)
G 1
33.3%
C 1
33.3%
V 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 199
92.1%
ASCII 17
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 14
 
7.0%
령 13
 
6.5%
이 10
 
5.0%
원 10
 
5.0%
집 9
 
4.5%
어 8
 
4.0%
린 8
 
4.0%
병 6
 
3.0%
인 4
 
2.0%
양 3
 
1.5%
Other values (69) 114
57.3%
ASCII
ValueCountFrequency (%)
6
35.3%
( 3
17.6%
) 3
17.6%
G 1
 
5.9%
C 1
 
5.9%
2 1
 
5.9%
4 1
 
5.9%
V 1
 
5.9%

소재지 도로명주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-01-10T07:19:00.316864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length17.52
Min length15

Characters and Unicode

Total characters438
Distinct characters66
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

Unique25 ?
Unique (%)100.0%

Sample

1st row충청남도 보령시 대해로 52
2nd row충청남도 보령시 옥마로 277
3rd row충청남도 보령시 지장골길 69
4th row충청남도 보령시 청라면 질재로 373
5th row충청남도 보령시 죽성로 136
ValueCountFrequency (%)
충청남도 25
23.1%
보령시 25
23.1%
보령남로 3
 
2.8%
남포면 3
 
2.8%
주교면 2
 
1.9%
9 2
 
1.9%
중앙로 2
 
1.9%
대흥로 1
 
0.9%
터미널길 1
 
0.9%
원동1길 1
 
0.9%
Other values (43) 43
39.8%
2024-01-10T07:19:00.582862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
18.9%
남 32
 
7.3%
보 28
 
6.4%
령 28
 
6.4%
청 27
 
6.2%
충 25
 
5.7%
도 25
 
5.7%
시 25
 
5.7%
1 16
 
3.7%
로 14
 
3.2%
Other values (56) 135
30.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
65.5%
Space Separator 83
 
18.9%
Decimal Number 66
 
15.1%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 32
11.1%
보 28
9.8%
령 28
9.8%
청 27
9.4%
충 25
 
8.7%
도 25
 
8.7%
시 25
 
8.7%
로 14
 
4.9%
길 11
 
3.8%
면 7
 
2.4%
Other values (44) 65
22.6%
Decimal Number
ValueCountFrequency (%)
1 16
24.2%
2 13
19.7%
3 8
12.1%
7 7
10.6%
5 6
 
9.1%
4 5
 
7.6%
6 5
 
7.6%
9 3
 
4.5%
0 2
 
3.0%
8 1
 
1.5%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
65.5%
Common 151
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 32
11.1%
보 28
9.8%
령 28
9.8%
청 27
9.4%
충 25
 
8.7%
도 25
 
8.7%
시 25
 
8.7%
로 14
 
4.9%
길 11
 
3.8%
면 7
 
2.4%
Other values (44) 65
22.6%
Common
ValueCountFrequency (%)
83
55.0%
1 16
 
10.6%
2 13
 
8.6%
3 8
 
5.3%
7 7
 
4.6%
5 6
 
4.0%
4 5
 
3.3%
6 5
 
3.3%
9 3
 
2.0%
- 2
 
1.3%
Other values (2) 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
65.5%
ASCII 151
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
55.0%
1 16
 
10.6%
2 13
 
8.6%
3 8
 
5.3%
7 7
 
4.6%
5 6
 
4.0%
4 5
 
3.3%
6 5
 
3.3%
9 3
 
2.0%
- 2
 
1.3%
Other values (2) 3
 
2.0%
Hangul
ValueCountFrequency (%)
남 32
11.1%
보 28
9.8%
령 28
9.8%
청 27
9.4%
충 25
 
8.7%
도 25
 
8.7%
시 25
 
8.7%
로 14
 
4.9%
길 11
 
3.8%
면 7
 
2.4%
Other values (44) 65
22.6%

소재지 지번주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-01-10T07:19:00.747693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19
Min length14

Characters and Unicode

Total characters475
Distinct characters46
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

Unique25 ?
Unique (%)100.0%

Sample

1st row충청남도 보령시 궁촌동 156-35
2nd row충청남도 보령시 화산동 230-12
3rd row충청남도 보령시 죽정동 669-5
4th row충청남도 보령시 청라면 장산리 829-1
5th row충청남도 보령시 죽정동 1
ValueCountFrequency (%)
충청남도 25
23.1%
보령시 25
23.1%
대천동 5
 
4.6%
궁촌동 4
 
3.7%
남포면 3
 
2.8%
동대동 3
 
2.8%
죽정동 2
 
1.9%
주교면 2
 
1.9%
창동리 2
 
1.9%
3-13 1
 
0.9%
Other values (36) 36
33.3%
2024-01-10T07:19:01.006305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
17.5%
남 28
 
5.9%
청 26
 
5.5%
충 25
 
5.3%
도 25
 
5.3%
보 25
 
5.3%
령 25
 
5.3%
시 25
 
5.3%
동 22
 
4.6%
- 21
 
4.4%
Other values (36) 170
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 274
57.7%
Decimal Number 97
 
20.4%
Space Separator 83
 
17.5%
Dash Punctuation 21
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 28
10.2%
청 26
9.5%
충 25
9.1%
도 25
9.1%
보 25
9.1%
령 25
9.1%
시 25
9.1%
동 22
 
8.0%
대 9
 
3.3%
리 8
 
2.9%
Other values (24) 56
20.4%
Decimal Number
ValueCountFrequency (%)
4 17
17.5%
2 14
14.4%
1 14
14.4%
5 10
10.3%
3 10
10.3%
0 9
9.3%
6 9
9.3%
8 7
7.2%
7 5
 
5.2%
9 2
 
2.1%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
57.7%
Common 201
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 28
10.2%
청 26
9.5%
충 25
9.1%
도 25
9.1%
보 25
9.1%
령 25
9.1%
시 25
9.1%
동 22
 
8.0%
대 9
 
3.3%
리 8
 
2.9%
Other values (24) 56
20.4%
Common
ValueCountFrequency (%)
83
41.3%
- 21
 
10.4%
4 17
 
8.5%
2 14
 
7.0%
1 14
 
7.0%
5 10
 
5.0%
3 10
 
5.0%
0 9
 
4.5%
6 9
 
4.5%
8 7
 
3.5%
Other values (2) 7
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 274
57.7%
ASCII 201
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
41.3%
- 21
 
10.4%
4 17
 
8.5%
2 14
 
7.0%
1 14
 
7.0%
5 10
 
5.0%
3 10
 
5.0%
0 9
 
4.5%
6 9
 
4.5%
8 7
 
3.5%
Other values (2) 7
 
3.5%
Hangul
ValueCountFrequency (%)
남 28
10.2%
청 26
9.5%
충 25
9.1%
도 25
9.1%
보 25
9.1%
령 25
9.1%
시 25
9.1%
동 22
 
8.0%
대 9
 
3.3%
리 8
 
2.9%
Other values (24) 56
20.4%

위도
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.346492
Minimum36.223748
Maximum36.406135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-10T07:19:01.115306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.223748
5-th percentile36.318882
Q136.342491
median36.347492
Q336.355551
95-th percentile36.391758
Maximum36.406135
Range0.18238766
Interquartile range (IQR)0.013060079

Descriptive statistics

Standard deviation0.033278137
Coefficient of variation (CV)0.00091558044
Kurtosis7.5223584
Mean36.346492
Median Absolute Deviation (MAD)0.0080591747
Skewness-1.7963718
Sum908.66229
Variance0.0011074344
MonotonicityNot monotonic
2024-01-10T07:19:01.210884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
36.343641239 1
 
4.0%
36.3555514556 1
 
4.0%
36.3495712687 1
 
4.0%
36.352042622 1
 
4.0%
36.3233113498 1
 
4.0%
36.3374466112 1
 
4.0%
36.3264349881 1
 
4.0%
36.3269592341 1
 
4.0%
36.3919400644 1
 
4.0%
36.342491045 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
36.2237477378 1
4.0%
36.3177751039 1
4.0%
36.3233113498 1
4.0%
36.3264349881 1
4.0%
36.3269592341 1
4.0%
36.3374466112 1
4.0%
36.342491045 1
4.0%
36.343641239 1
4.0%
36.3440112264 1
4.0%
36.3440522956 1
4.0%
ValueCountFrequency (%)
36.4061353935 1
4.0%
36.3919400644 1
4.0%
36.3910294043 1
4.0%
36.3811494565 1
4.0%
36.3588848006 1
4.0%
36.3555514556 1
4.0%
36.3555511239 1
4.0%
36.3529409252 1
4.0%
36.352042622 1
4.0%
36.3518553796 1
4.0%

경도
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.59812
Minimum126.53636
Maximum126.65008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-10T07:19:01.303567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53636
5-th percentile126.54411
Q1126.59285
median126.60057
Q3126.60929
95-th percentile126.62258
Maximum126.65008
Range0.11372237
Interquartile range (IQR)0.016438229

Descriptive statistics

Standard deviation0.023708514
Coefficient of variation (CV)0.00018727382
Kurtosis2.7968878
Mean126.59812
Median Absolute Deviation (MAD)0.0087254599
Skewness-1.0091846
Sum3164.953
Variance0.00056209362
MonotonicityNot monotonic
2024-01-10T07:19:01.400672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
126.593612743 1
 
4.0%
126.6214987009 1
 
4.0%
126.5928538015 1
 
4.0%
126.5906041275 1
 
4.0%
126.6023012151 1
 
4.0%
126.650079201 1
 
4.0%
126.603840282 1
 
4.0%
126.6028719379 1
 
4.0%
126.5379139777 1
 
4.0%
126.5896761039 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
126.5363568288 1
4.0%
126.5379139777 1
4.0%
126.5688759421 1
4.0%
126.5886506528 1
4.0%
126.5896761039 1
4.0%
126.5906041275 1
4.0%
126.5928538015 1
4.0%
126.593612743 1
4.0%
126.595798834 1
4.0%
126.5973536747 1
4.0%
ValueCountFrequency (%)
126.650079201 1
4.0%
126.6228444599 1
4.0%
126.6214987009 1
4.0%
126.6182597846 1
4.0%
126.6138694725 1
4.0%
126.6099900686 1
4.0%
126.6092920308 1
4.0%
126.6047078882 1
4.0%
126.603840282 1
4.0%
126.6028719379 1
4.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-07-04 00:00:00
Maximum2023-07-04 00:00:00
2024-01-10T07:19:01.477848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:19:01.550520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T07:18:59.085434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:18:58.680042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:18:58.868170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:18:59.147864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:18:58.737692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:18:58.933935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:18:59.216838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:18:58.806301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:18:59.012216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:19:01.606755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설명소재지 도로명주소소재지 지번주소위도경도
구분1.0001.0001.0001.0000.4250.548
시설명1.0001.0001.0001.0001.0001.000
소재지 도로명주소1.0001.0001.0001.0001.0001.000
소재지 지번주소1.0001.0001.0001.0001.0001.000
위도0.4251.0001.0001.0001.0000.322
경도0.5481.0001.0001.0000.3221.000
2024-01-10T07:19:01.684732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분위도경도
구분1.000-0.373-0.217
위도-0.3731.0000.025
경도-0.2170.0251.000

Missing values

2024-01-10T07:18:59.301437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:18:59.392684image/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

구분시군명시설명소재지 도로명주소소재지 지번주소위도경도데이터기준일자
01보령시신제일병원충청남도 보령시 대해로 52충청남도 보령시 궁촌동 156-3536.343641126.5936132023-07-04
12보령시보령엘피스병원충청남도 보령시 옥마로 277충청남도 보령시 화산동 230-1236.355551126.6214992023-07-04
23보령시의료법인 신드림의료재단 중앙유병원충청남도 보령시 지장골길 69충청남도 보령시 죽정동 669-536.358885126.6027582023-07-04
34보령시보령시립노인전문병원충청남도 보령시 청라면 질재로 373충청남도 보령시 청라면 장산리 829-136.406135126.6092922023-07-04
45보령시보령아산병원충청남도 보령시 죽성로 136충청남도 보령시 죽정동 136.381149126.6228442023-07-04
56보령시중앙어린이집충청남도 보령시 천변남길 124충청남도 보령시 궁촌동 5-836.34546126.5973542023-07-04
67보령시미동어린이집충청남도 보령시 신평중앙길 37충청남도 보령시 대천동 55-836.352941126.6005672023-07-04
78보령시예일어린이집충청남도 보령시 대청로 151충청남도 보령시 동대동 701-736.355551126.609992023-07-04
89보령시흑포어린이집충청남도 보령시 흑포2길 26충청남도 보령시 신흑동 172-336.317775126.5363572023-07-04
910보령시보령어린이집충청남도 보령시 웅천읍 대창증산로 11-14충청남도 보령시 웅천읍 대창리 283-436.223748126.6047082023-07-04
구분시군명시설명소재지 도로명주소소재지 지번주소위도경도데이터기준일자
1516보령시홈플러스보령점충청남도 보령시 명암1길 17충청남도 보령시 동대동 400-4336.344052126.6138692023-07-04
1617보령시이마트보령점충청남도 보령시 해안로 25충청남도 보령시 궁촌동 340-136.344011126.5886512023-07-04
1718보령시보령종합터미널충청남도 보령시 터미널길 8충청남도 보령시 궁촌동 34736.342491126.5896762023-07-04
1819보령시충청남도립요양원 생생꿈마을충청남도 보령시 주교면 척골길 233충청남도 보령시 주교면 송학리 3-1336.39194126.5379142023-07-04
1920보령시사회복지법인 보령원(보령실버홈)충청남도 보령시 남포면 보령남로 205충청남도 보령시 남포면 창동리 56036.326959126.6028722023-07-04
2021보령시사회복지법인 보령원(보령요양원)충청남도 보령시 남포면 보령남로 207충청남도 보령시 남포면 창동리 560-136.326435126.603842023-07-04
2122보령시대천요양병원충청남도 보령시 성주면 성주산로 367충청남도 보령시 성주면 성주리 247-1436.337447126.6500792023-07-04
2223보령시(재)기독교대한감리회유지재단 행복한집충청남도 보령시 남포면 봉덕2길 14충청남도 보령시 남포면 봉덕리 482-2036.323311126.6023012023-07-04
2324보령시명보시네마충청남도 보령시 중앙로 125충청남도 보령시 대천동 422-436.352043126.5906042023-07-04
2425보령시CGV보령충청남도 보령시 대흥로 51충청남도 보령시 대천동 324-436.349571126.5928542023-07-04