Overview

Dataset statistics

Number of variables9
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)1.4%
Total size in memory5.4 KiB
Average record size in memory76.8 B

Variable types

Text2
Categorical3
Numeric3
DateTime1

Dataset

Description충청남도 공주시 마을회관 현황에 대한 데이터로 (마을회관명, 소재지변경, 건물유형, 구조) 등의 항목을 제공합니다,
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=440&beforeMenuCd=DOM_000000201001001000&publicdatapk=15005117

Alerts

건물유형 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 1 (1.4%) duplicate rowsDuplicates
연면적 is highly overall correlated with 마을회관사용면적High correlation
마을회관사용면적 is highly overall correlated with 연면적High correlation

Reproduction

Analysis started2024-01-09 19:58:19.870702
Analysis finished2024-01-09 19:58:21.926722
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

마을회관명
Text

Distinct70
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-01-10T04:58:22.137783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length7.7222222
Min length6

Characters and Unicode

Total characters556
Distinct characters79
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)94.4%

Sample

1st row녹천1리마을회관
2nd row석남1리마을회관
3rd row석남2리마을회관
4th row석남3리마을회관
5th row유구1리마을회관
ValueCountFrequency (%)
마을회관 11
 
13.1%
상왕2통마을회 2
 
2.4%
죽곡리마을회관 2
 
2.4%
동곡리 1
 
1.2%
인풍리마을회관 1
 
1.2%
월산1리마을회관 1
 
1.2%
호계2리 1
 
1.2%
대산2리마을회관 1
 
1.2%
대산1리마을회관 1
 
1.2%
태성리마을회관 1
 
1.2%
Other values (62) 62
73.8%
2024-01-10T04:58:22.625551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 72
12.9%
을 72
12.9%
회 72
12.9%
관 66
11.9%
리 64
11.5%
2 22
 
4.0%
1 20
 
3.6%
12
 
2.2%
곡 7
 
1.3%
계 6
 
1.1%
Other values (69) 143
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 500
89.9%
Decimal Number 44
 
7.9%
Space Separator 12
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 72
14.4%
을 72
14.4%
회 72
14.4%
관 66
13.2%
리 64
12.8%
곡 7
 
1.4%
계 6
 
1.2%
정 6
 
1.2%
산 6
 
1.2%
신 6
 
1.2%
Other values (65) 123
24.6%
Decimal Number
ValueCountFrequency (%)
2 22
50.0%
1 20
45.5%
3 2
 
4.5%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 500
89.9%
Common 56
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 72
14.4%
을 72
14.4%
회 72
14.4%
관 66
13.2%
리 64
12.8%
곡 7
 
1.4%
계 6
 
1.2%
정 6
 
1.2%
산 6
 
1.2%
신 6
 
1.2%
Other values (65) 123
24.6%
Common
ValueCountFrequency (%)
2 22
39.3%
1 20
35.7%
12
21.4%
3 2
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 500
89.9%
ASCII 56
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 72
14.4%
을 72
14.4%
회 72
14.4%
관 66
13.2%
리 64
12.8%
곡 7
 
1.4%
계 6
 
1.2%
정 6
 
1.2%
산 6
 
1.2%
신 6
 
1.2%
Other values (65) 123
24.6%
ASCII
ValueCountFrequency (%)
2 22
39.3%
1 20
35.7%
12
21.4%
3 2
 
3.6%

소재지지번주소
Text

Distinct71
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-01-10T04:58:23.027079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length22.541667
Min length17

Characters and Unicode

Total characters1623
Distinct characters97
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)97.2%

Sample

1st row충청남도 공주시 유구읍 녹천1리 1-20
2nd row충청남도 공주시 유구읍 석남1리 295-2
3rd row충청남도 공주시 유구읍 석남2리 395-4외 1(395-5)
4th row충청남도 공주시 유구읍 석남3리 38,38-1
5th row충청남도 공주시 유구읍 유구1리 623-11
ValueCountFrequency (%)
충청남도 72
20.2%
공주시 72
20.2%
정안면 32
 
9.0%
유구읍 21
 
5.9%
의당면 3
 
0.8%
상왕동 3
 
0.8%
우성면 2
 
0.6%
신기동 2
 
0.6%
270 2
 
0.6%
죽곡리 2
 
0.6%
Other values (144) 146
40.9%
2024-01-10T04:58:23.640659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
294
18.1%
1 77
 
4.7%
남 75
 
4.6%
공 73
 
4.5%
청 73
 
4.5%
충 72
 
4.4%
도 72
 
4.4%
주 72
 
4.4%
시 72
 
4.4%
리 65
 
4.0%
Other values (87) 678
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 924
56.9%
Decimal Number 340
 
20.9%
Space Separator 294
 
18.1%
Dash Punctuation 48
 
3.0%
Close Punctuation 7
 
0.4%
Open Punctuation 7
 
0.4%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 75
 
8.1%
공 73
 
7.9%
청 73
 
7.9%
충 72
 
7.8%
도 72
 
7.8%
주 72
 
7.8%
시 72
 
7.8%
리 65
 
7.0%
면 43
 
4.7%
정 38
 
4.1%
Other values (72) 269
29.1%
Decimal Number
ValueCountFrequency (%)
1 77
22.6%
2 58
17.1%
3 42
12.4%
6 31
9.1%
5 27
 
7.9%
8 27
 
7.9%
0 21
 
6.2%
4 20
 
5.9%
9 19
 
5.6%
7 18
 
5.3%
Space Separator
ValueCountFrequency (%)
294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 924
56.9%
Common 699
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 75
 
8.1%
공 73
 
7.9%
청 73
 
7.9%
충 72
 
7.8%
도 72
 
7.8%
주 72
 
7.8%
시 72
 
7.8%
리 65
 
7.0%
면 43
 
4.7%
정 38
 
4.1%
Other values (72) 269
29.1%
Common
ValueCountFrequency (%)
294
42.1%
1 77
 
11.0%
2 58
 
8.3%
- 48
 
6.9%
3 42
 
6.0%
6 31
 
4.4%
5 27
 
3.9%
8 27
 
3.9%
0 21
 
3.0%
4 20
 
2.9%
Other values (5) 54
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 924
56.9%
ASCII 699
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
294
42.1%
1 77
 
11.0%
2 58
 
8.3%
- 48
 
6.9%
3 42
 
6.0%
6 31
 
4.4%
5 27
 
3.9%
8 27
 
3.9%
0 21
 
3.0%
4 20
 
2.9%
Other values (5) 54
 
7.7%
Hangul
ValueCountFrequency (%)
남 75
 
8.1%
공 73
 
7.9%
청 73
 
7.9%
충 72
 
7.8%
도 72
 
7.8%
주 72
 
7.8%
시 72
 
7.8%
리 65
 
7.0%
면 43
 
4.7%
정 38
 
4.1%
Other values (72) 269
29.1%

건물유형
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
단독주택
72 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단독주택 72
100.0%

Length

2024-01-10T04:58:23.841976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:58:23.976688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택 72
100.0%

구조
Categorical

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
조적조
44 
철근콘크리트조
16 
연와조
9 
시멘트블럭
 
1
일반목구조
 
1

Length

Max length7
Median length3
Mean length3.9722222
Min length3

Unique

Unique3 ?
Unique (%)4.2%

Sample

1st row철근콘크리트조
2nd row철근콘크리트조
3rd row철근콘크리트조
4th row철근콘크리트조
5th row조적조

Common Values

ValueCountFrequency (%)
조적조 44
61.1%
철근콘크리트조 16
 
22.2%
연와조 9
 
12.5%
시멘트블럭 1
 
1.4%
일반목구조 1
 
1.4%
경량철골조 1
 
1.4%

Length

2024-01-10T04:58:24.142323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T04:58:24.351676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조적조 44
61.1%
철근콘크리트조 16
 
22.2%
연와조 9
 
12.5%
시멘트블럭 1
 
1.4%
일반목구조 1
 
1.4%
경량철골조 1
 
1.4%

연면적
Real number (ℝ)

HIGH CORRELATION 

Distinct57
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.87
Minimum39
Maximum330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-01-10T04:58:25.077953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile54.8625
Q178.925
median99.015
Q3128.5
95-th percentile256
Maximum330
Range291
Interquartile range (IQR)49.575

Descriptive statistics

Standard deviation58.711771
Coefficient of variation (CV)0.50670381
Kurtosis2.7774213
Mean115.87
Median Absolute Deviation (MAD)24.015
Skewness1.6549957
Sum8342.64
Variance3447.072
MonotonicityNot monotonic
2024-01-10T04:58:25.315778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.0 3
 
4.2%
108.0 3
 
4.2%
91.0 2
 
2.8%
75.0 2
 
2.8%
78.7 2
 
2.8%
110.0 2
 
2.8%
72.0 2
 
2.8%
194.0 2
 
2.8%
85.0 2
 
2.8%
256.0 2
 
2.8%
Other values (47) 50
69.4%
ValueCountFrequency (%)
39.0 1
1.4%
40.56 1
1.4%
50.0 1
1.4%
52.25 1
1.4%
57.0 1
1.4%
58.0 1
1.4%
59.5 1
1.4%
61.0 1
1.4%
63.0 1
1.4%
69.0 1
1.4%
ValueCountFrequency (%)
330.0 1
1.4%
273.0 1
1.4%
271.0 1
1.4%
256.0 2
2.8%
230.0 1
1.4%
198.0 1
1.4%
194.0 2
2.8%
188.0 1
1.4%
160.0 1
1.4%
156.0 1
1.4%

마을회관사용면적
Real number (ℝ)

HIGH CORRELATION 

Distinct57
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.00889
Minimum39
Maximum330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-01-10T04:58:25.536421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile55.4125
Q178.925
median99.015
Q3128.5
95-th percentile256
Maximum330
Range291
Interquartile range (IQR)49.575

Descriptive statistics

Standard deviation58.582231
Coefficient of variation (CV)0.50498054
Kurtosis2.8049061
Mean116.00889
Median Absolute Deviation (MAD)24.015
Skewness1.6649743
Sum8352.64
Variance3431.8778
MonotonicityNot monotonic
2024-01-10T04:58:25.727724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92.0 3
 
4.2%
108.0 3
 
4.2%
91.0 2
 
2.8%
75.0 2
 
2.8%
78.7 2
 
2.8%
110.0 2
 
2.8%
72.0 2
 
2.8%
194.0 2
 
2.8%
85.0 2
 
2.8%
256.0 2
 
2.8%
Other values (47) 50
69.4%
ValueCountFrequency (%)
39.0 1
1.4%
40.56 1
1.4%
50.0 1
1.4%
52.25 1
1.4%
58.0 1
1.4%
59.5 1
1.4%
61.0 1
1.4%
63.0 1
1.4%
67.0 1
1.4%
69.0 1
1.4%
ValueCountFrequency (%)
330.0 1
1.4%
273.0 1
1.4%
271.0 1
1.4%
256.0 2
2.8%
230.0 1
1.4%
198.0 1
1.4%
194.0 2
2.8%
188.0 1
1.4%
160.0 1
1.4%
156.0 1
1.4%

건립년도
Real number (ℝ)

Distinct23
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2000.1528
Minimum1974
Maximum2013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-01-10T04:58:25.917478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1974
5-th percentile1986.1
Q11995.75
median1999
Q32007
95-th percentile2012
Maximum2013
Range39
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation7.976479
Coefficient of variation (CV)0.0039879349
Kurtosis1.0490236
Mean2000.1528
Median Absolute Deviation (MAD)5
Skewness-0.71152424
Sum144011
Variance63.624218
MonotonicityNot monotonic
2024-01-10T04:58:26.093337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2008 7
 
9.7%
1996 7
 
9.7%
1998 5
 
6.9%
1993 5
 
6.9%
1994 4
 
5.6%
1999 4
 
5.6%
1995 4
 
5.6%
1997 4
 
5.6%
2009 3
 
4.2%
2004 3
 
4.2%
Other values (13) 26
36.1%
ValueCountFrequency (%)
1974 1
 
1.4%
1977 1
 
1.4%
1985 2
 
2.8%
1987 1
 
1.4%
1993 5
6.9%
1994 4
5.6%
1995 4
5.6%
1996 7
9.7%
1997 4
5.6%
1998 5
6.9%
ValueCountFrequency (%)
2013 2
 
2.8%
2012 3
4.2%
2010 2
 
2.8%
2009 3
4.2%
2008 7
9.7%
2007 3
4.2%
2006 3
4.2%
2005 2
 
2.8%
2004 3
4.2%
2003 1
 
1.4%

소유자
Categorical

Distinct28
Distinct (%)38.9%
Missing0
Missing (%)0.0%
Memory size708.0 B
마을회
44 
호복동영청동동계
 
2
이홍구
 
1
강선묵
 
1
전주최씨양도공파최병규종중
 
1
Other values (23)
23 

Length

Max length13
Median length3
Mean length3.9305556
Min length3

Unique

Unique26 ?
Unique (%)36.1%

Sample

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

Common Values

ValueCountFrequency (%)
마을회 44
61.1%
호복동영청동동계 2
 
2.8%
이홍구 1
 
1.4%
강선묵 1
 
1.4%
전주최씨양도공파최병규종중 1
 
1.4%
이광용 1
 
1.4%
최병룡외2인 1
 
1.4%
이관재 1
 
1.4%
오영근 1
 
1.4%
시장촌 1
 
1.4%
Other values (18) 18
25.0%

Length

2024-01-10T04:58:26.279642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
마을회 49
63.6%
호복동영청동동계 2
 
2.6%
임무순 1
 
1.3%
청흥리 1
 
1.3%
사곡면호계2구새마을회 1
 
1.3%
새마을회 1
 
1.3%
내산리1구마을회 1
 
1.3%
율정리 1
 
1.3%
유계리새마을회 1
 
1.3%
반포면노인회 1
 
1.3%
Other values (18) 18
 
23.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2017-11-24 00:00:00
Maximum2017-11-24 00:00:00
2024-01-10T04:58:26.426574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:58:26.568316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T04:58:21.157682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:58:20.369488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:58:20.770846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:58:21.297383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:58:20.487977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:58:20.906635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:58:21.446245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:58:20.609671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:58:21.020440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T04:58:26.690275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
마을회관명소재지지번주소구조연면적마을회관사용면적건립년도소유자
마을회관명1.0001.0001.0000.9920.9920.9671.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
구조1.0001.0001.0000.0000.0000.4860.754
연면적0.9921.0000.0001.0001.0000.6180.000
마을회관사용면적0.9921.0000.0001.0001.0000.6180.000
건립년도0.9671.0000.4860.6180.6181.0000.000
소유자1.0001.0000.7540.0000.0000.0001.000
2024-01-10T04:58:26.880679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구조소유자
구조1.0000.368
소유자0.3681.000
2024-01-10T04:58:27.029341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적마을회관사용면적건립년도구조소유자
연면적1.0001.0000.1670.0000.000
마을회관사용면적1.0001.0000.1640.0000.000
건립년도0.1670.1641.0000.3910.000
구조0.0000.0000.3911.0000.368
소유자0.0000.0000.0000.3681.000

Missing values

2024-01-10T04:58:21.642746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:58:21.851249image/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

마을회관명소재지지번주소건물유형구조연면적마을회관사용면적건립년도소유자데이터기준일자
0녹천1리마을회관충청남도 공주시 유구읍 녹천1리 1-20단독주택철근콘크리트조156.0156.02010마을회2017-11-24
1석남1리마을회관충청남도 공주시 유구읍 석남1리 295-2단독주택철근콘크리트조256.0256.01999마을회2017-11-24
2석남2리마을회관충청남도 공주시 유구읍 석남2리 395-4외 1(395-5)단독주택철근콘크리트조330.0330.02007마을회2017-11-24
3석남3리마을회관충청남도 공주시 유구읍 석남3리 38,38-1단독주택철근콘크리트조230.0230.02008마을회2017-11-24
4유구1리마을회관충청남도 공주시 유구읍 유구1리 623-11단독주택조적조121.0121.02004마을회2017-11-24
5유구2리마을회관충청남도 공주시 유구읍 유구2리 648-1외1(648-13)단독주택조적조63.063.01999마을회2017-11-24
6녹천2리마을회관충청남도 공주시 유구읍 녹천2리 578-10단독주택조적조126.0126.01996마을회2017-11-24
7신영1리마을회관충청남도 공주시 유구읍 신영1리 102단독주택조적조108.0108.02013마을회2017-11-24
8신영2리마을회관충청남도 공주시 유구읍 신영2리 724-1단독주택조적조111.0111.01996마을회2017-11-24
9신달1리마을회관충청남도 공주시 유구읍 신달1리 153-1단독주택조적조92.092.02002마을회2017-11-24
마을회관명소재지지번주소건물유형구조연면적마을회관사용면적건립년도소유자데이터기준일자
62무릉동 마을회관충청남도 공주시 무릉동 299단독주택철근콘크리트조122.44122.442009무릉동 마을회2017-11-24
63죽곡리마을회관충청남도 공주시 계룡면 죽곡리 270단독주택철근콘크리트조78.778.72012호복동영청동동계2017-11-24
64공암리 마을회관충청남도 공주시 반포면 공암리 380-6단독주택철근콘크리트조98.0398.032009반포면노인회2017-11-24
65유계리 마을회관충청남도 공주시 의당면 유계리 280-6단독주택조적조40.5640.561994유계리새마을회2017-11-24
66율정리 마을회관충청남도 공주시 의당면 율정리 180-1단독주택조적조77.177.12002율정리 마을회2017-11-24
67내산1리 마을회관충청남도 공주시 우성면 내산리 433-1단독주택조적조100.0100.01999내산리1구마을회2017-11-24
68동곡리 마을회관충청남도 공주시 우성면 동곡리 129단독주택조적조52.2552.251994새마을회2017-11-24
69호계2리 마을회관충청남도 공주시 사곡면 호계리 208-2단독주택조적조50.050.02006사곡면호계2구새마을회2017-11-24
70청흥리 마을회관충청남도 공주시 신풍면 청흥리 562-27단독주택경량철골조86.486.42008청흥리 마을회2017-11-24
71선학리 마을회관충청남도 공주시 신풍면 선학리 231단독주택조적조59.559.52001선학리 마을회2017-11-24

Duplicate rows

Most frequently occurring

마을회관명소재지지번주소건물유형구조연면적마을회관사용면적건립년도소유자데이터기준일자# duplicates
0죽곡리마을회관충청남도 공주시 계룡면 죽곡리 270단독주택철근콘크리트조78.778.72012호복동영청동동계2017-11-242