Overview

Dataset statistics

Number of variables9
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory77.5 B

Variable types

Text2
Categorical3
Numeric3
DateTime1

Dataset

Description장성군에 소재한 문화재지정 현황으로 문화재 명칭, 지정종별, 번호, 지정일, 소재지, 위도, 경도로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/3033315/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
지정종별 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
종류 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
번호 is highly overall correlated with 지정종별 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
문화재명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:37:33.548029
Analysis finished2023-12-12 04:37:35.175375
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

문화재명칭
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T13:37:35.400458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length10.754717
Min length4

Characters and Unicode

Total characters570
Distinct characters144
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

Unique53 ?
Unique (%)100.0%

Sample

1st row장성 필암서원 문적 일괄
2nd row장성 백양사 소요대사탑
3rd row장성 백양사 목조아미타여래좌상
4th row장성 백양사 아미타여래 설법도 및 복장유물
5th row장성 필암서원
ValueCountFrequency (%)
장성 50
31.6%
백양사 10
 
6.3%
필암서원 4
 
2.5%
일괄 3
 
1.9%
오층석탑 3
 
1.9%
신도비 2
 
1.3%
고산서원 2
 
1.3%
영천리 2
 
1.3%
김인후 2
 
1.3%
목판 2
 
1.3%
Other values (76) 78
49.4%
2023-12-12T13:37:35.949236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
 
18.8%
54
 
9.5%
52
 
9.1%
20
 
3.5%
13
 
2.3%
12
 
2.1%
11
 
1.9%
10
 
1.8%
9
 
1.6%
9
 
1.6%
Other values (134) 273
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
80.5%
Space Separator 107
 
18.8%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
54
 
11.8%
52
 
11.3%
20
 
4.4%
13
 
2.8%
12
 
2.6%
11
 
2.4%
10
 
2.2%
9
 
2.0%
9
 
2.0%
7
 
1.5%
Other values (131) 262
57.1%
Space Separator
ValueCountFrequency (%)
107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
80.5%
Common 111
 
19.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
54
 
11.8%
52
 
11.3%
20
 
4.4%
13
 
2.8%
12
 
2.6%
11
 
2.4%
10
 
2.2%
9
 
2.0%
9
 
2.0%
7
 
1.5%
Other values (131) 262
57.1%
Common
ValueCountFrequency (%)
107
96.4%
) 2
 
1.8%
( 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
80.5%
ASCII 111
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
96.4%
) 2
 
1.8%
( 2
 
1.8%
Hangul
ValueCountFrequency (%)
54
 
11.8%
52
 
11.3%
20
 
4.4%
13
 
2.8%
12
 
2.6%
11
 
2.4%
10
 
2.2%
9
 
2.0%
9
 
2.0%
7
 
1.5%
Other values (131) 262
57.1%

지정종별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
전라남도지정
40 
국가지정
13 

Length

Max length6
Median length6
Mean length5.509434
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도지정 40
75.5%
국가지정 13
 
24.5%

Length

2023-12-12T13:37:36.138227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:36.258668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도지정 40
75.5%
국가지정 13
 
24.5%

종류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
문화재자료
16 
도 유형문화재
14 
도 기념물
보물
사적
Other values (4)

Length

Max length7
Median length5
Mean length5
Min length2

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row보물
2nd row보물
3rd row보물
4th row보물
5th row사적

Common Values

ValueCountFrequency (%)
문화재자료 16
30.2%
도 유형문화재 14
26.4%
도 기념물 8
15.1%
보물 4
 
7.5%
사적 4
 
7.5%
천연기념물 3
 
5.7%
명 승 2
 
3.8%
무형문화재 1
 
1.9%
민속문화재 1
 
1.9%

Length

2023-12-12T13:37:36.398979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:36.588981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22
28.6%
문화재자료 16
20.8%
유형문화재 14
18.2%
기념물 8
 
10.4%
보물 4
 
5.2%
사적 4
 
5.2%
천연기념물 3
 
3.9%
2
 
2.6%
2
 
2.6%
무형문화재 1
 
1.3%

번호
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean269.69811
Minimum13
Maximum2123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T13:37:36.769254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile41
Q198
median162
Q3241
95-th percentile890.6
Maximum2123
Range2110
Interquartile range (IQR)143

Descriptive statistics

Standard deviation417.24073
Coefficient of variation (CV)1.5470658
Kurtosis13.628489
Mean269.69811
Median Absolute Deviation (MAD)67
Skewness3.6525798
Sum14294
Variance174089.83
MonotonicityNot monotonic
2023-12-12T13:37:36.966086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
242 2
 
3.8%
241 2
 
3.8%
587 1
 
1.9%
99 1
 
1.9%
70 1
 
1.9%
78 1
 
1.9%
186 1
 
1.9%
198 1
 
1.9%
219 1
 
1.9%
59 1
 
1.9%
Other values (41) 41
77.4%
ValueCountFrequency (%)
13 1
1.9%
32 1
1.9%
38 1
1.9%
43 1
1.9%
44 1
1.9%
50 1
1.9%
54 1
1.9%
59 1
1.9%
63 1
1.9%
67 1
1.9%
ValueCountFrequency (%)
2123 1
1.9%
2066 1
1.9%
1346 1
1.9%
587 1
1.9%
486 1
1.9%
478 1
1.9%
406 1
1.9%
384 1
1.9%
377 1
1.9%
290 1
1.9%
Distinct35
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum1962-12-03 00:00:00
Maximum2021-12-08 00:00:00
2023-12-12T13:37:37.144298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:37.314168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
Distinct45
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-12T13:37:37.697980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length21
Min length13

Characters and Unicode

Total characters1113
Distinct characters82
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

Unique42 ?
Unique (%)79.2%

Sample

1st row국립광주박물관(위탁보관)
2nd row전라남도 장성군 북하면 약수리 120
3rd row전라남도 장성군 북하면 약수리 26
4th row전라남도 장성군 북하면 약수리 120
5th row전라남도 장성군 황룡면 필암리 377
ValueCountFrequency (%)
전라남도 52
19.1%
장성군 52
19.1%
북하면 13
 
4.8%
약수리 11
 
4.0%
황룡면 9
 
3.3%
장성읍 8
 
2.9%
26 6
 
2.2%
북이면 5
 
1.8%
삼서면 5
 
1.8%
진원면 5
 
1.8%
Other values (80) 106
39.0%
2023-12-12T13:37:38.183716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
19.8%
62
 
5.6%
62
 
5.6%
53
 
4.8%
53
 
4.8%
53
 
4.8%
53
 
4.8%
52
 
4.7%
52
 
4.7%
44
 
4.0%
Other values (72) 409
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 700
62.9%
Space Separator 220
 
19.8%
Decimal Number 169
 
15.2%
Dash Punctuation 21
 
1.9%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
 
8.9%
62
 
8.9%
53
 
7.6%
53
 
7.6%
53
 
7.6%
53
 
7.6%
52
 
7.4%
52
 
7.4%
44
 
6.3%
19
 
2.7%
Other values (57) 197
28.1%
Decimal Number
ValueCountFrequency (%)
1 37
21.9%
2 26
15.4%
3 18
10.7%
6 17
10.1%
5 16
9.5%
7 14
 
8.3%
0 14
 
8.3%
4 12
 
7.1%
8 8
 
4.7%
9 7
 
4.1%
Space Separator
ValueCountFrequency (%)
220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 700
62.9%
Common 413
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
62
 
8.9%
62
 
8.9%
53
 
7.6%
53
 
7.6%
53
 
7.6%
53
 
7.6%
52
 
7.4%
52
 
7.4%
44
 
6.3%
19
 
2.7%
Other values (57) 197
28.1%
Common
ValueCountFrequency (%)
220
53.3%
1 37
 
9.0%
2 26
 
6.3%
- 21
 
5.1%
3 18
 
4.4%
6 17
 
4.1%
5 16
 
3.9%
7 14
 
3.4%
0 14
 
3.4%
4 12
 
2.9%
Other values (5) 18
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 700
62.9%
ASCII 413
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
53.3%
1 37
 
9.0%
2 26
 
6.3%
- 21
 
5.1%
3 18
 
4.4%
6 17
 
4.1%
5 16
 
3.9%
7 14
 
3.4%
0 14
 
3.4%
4 12
 
2.9%
Other values (5) 18
 
4.4%
Hangul
ValueCountFrequency (%)
62
 
8.9%
62
 
8.9%
53
 
7.6%
53
 
7.6%
53
 
7.6%
53
 
7.6%
52
 
7.4%
52
 
7.4%
44
 
6.3%
19
 
2.7%
Other values (57) 197
28.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct47
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.342267
Minimum35.220122
Maximum35.481409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T13:37:38.392799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.220122
5-th percentile35.230512
Q135.276642
median35.313854
Q335.43473
95-th percentile35.44946
Maximum35.481409
Range0.261287
Interquartile range (IQR)0.1580879

Descriptive statistics

Standard deviation0.07902273
Coefficient of variation (CV)0.0022359271
Kurtosis-1.3806934
Mean35.342267
Median Absolute Deviation (MAD)0.06222
Skewness0.23700187
Sum1873.1401
Variance0.0062445919
MonotonicityNot monotonic
2023-12-12T13:37:38.557280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
35.440252 5
 
9.4%
35.4347299 2
 
3.8%
35.311641 2
 
3.8%
35.321284 1
 
1.9%
35.306913 1
 
1.9%
35.304668 1
 
1.9%
35.3065114 1
 
1.9%
35.228213 1
 
1.9%
35.249881 1
 
1.9%
35.2244408 1
 
1.9%
Other values (37) 37
69.8%
ValueCountFrequency (%)
35.220122 1
1.9%
35.2244408 1
1.9%
35.228213 1
1.9%
35.232045 1
1.9%
35.237475 1
1.9%
35.237884 1
1.9%
35.249881 1
1.9%
35.265286 1
1.9%
35.269069 1
1.9%
35.270576 1
1.9%
ValueCountFrequency (%)
35.481409 1
 
1.9%
35.461348 1
 
1.9%
35.451427 1
 
1.9%
35.448149 1
 
1.9%
35.447974 1
 
1.9%
35.44209 1
 
1.9%
35.440322 1
 
1.9%
35.440252 5
9.4%
35.439653 1
 
1.9%
35.4347299 2
 
3.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.78471
Minimum126.5954
Maximum126.88332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-12T13:37:38.747214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.5954
5-th percentile126.64031
Q1126.74451
median126.79768
Q3126.84546
95-th percentile126.88332
Maximum126.88332
Range0.287914
Interquartile range (IQR)0.100947

Descriptive statistics

Standard deviation0.078769161
Coefficient of variation (CV)0.00062128282
Kurtosis-0.42919606
Mean126.78471
Median Absolute Deviation (MAD)0.050337
Skewness-0.59069286
Sum6719.5896
Variance0.0062045808
MonotonicityNot monotonic
2023-12-12T13:37:38.940587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
126.883318 5
 
9.4%
126.751605 3
 
5.7%
126.882422 2
 
3.8%
126.810162 1
 
1.9%
126.845459 1
 
1.9%
126.729495 1
 
1.9%
126.794259 1
 
1.9%
126.733325 1
 
1.9%
126.780234 1
 
1.9%
126.848016 1
 
1.9%
Other values (36) 36
67.9%
ValueCountFrequency (%)
126.595404 1
1.9%
126.624253 1
1.9%
126.631989 1
1.9%
126.645851 1
1.9%
126.659191 1
1.9%
126.659788 1
1.9%
126.662301 1
1.9%
126.671925 1
1.9%
126.69326 1
1.9%
126.729366 1
1.9%
ValueCountFrequency (%)
126.883318 5
9.4%
126.882975 1
 
1.9%
126.882422 2
 
3.8%
126.874468 1
 
1.9%
126.874254 1
 
1.9%
126.872312 1
 
1.9%
126.870109 1
 
1.9%
126.848016 1
 
1.9%
126.845459 1
 
1.9%
126.841573 1
 
1.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-06-29
53 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-29
2nd row2023-06-29
3rd row2023-06-29
4th row2023-06-29
5th row2023-06-29

Common Values

ValueCountFrequency (%)
2023-06-29 53
100.0%

Length

2023-12-12T13:37:39.136132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:39.271447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-29 53
100.0%

Interactions

2023-12-12T13:37:34.609714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:33.999477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:34.333849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:34.717492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:34.106148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:34.416918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:34.809904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:34.203396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:34.507873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:37:39.663503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
문화재명칭지정종별종류번호지정일소재지 주소위도경도
문화재명칭1.0001.0001.0001.0001.0001.0001.0001.000
지정종별1.0001.0001.0000.5431.0000.0000.4290.606
종류1.0001.0001.0000.7470.9880.9340.2510.458
번호1.0000.5430.7471.0000.9980.0000.0000.000
지정일1.0001.0000.9880.9981.0000.0000.6870.802
소재지 주소1.0000.0000.9340.0000.0001.0001.0001.000
위도1.0000.4290.2510.0000.6871.0001.0000.822
경도1.0000.6060.4580.0000.8021.0000.8221.000
2023-12-12T13:37:39.826609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정종별종류
지정종별1.0000.929
종류0.9291.000
2023-12-12T13:37:39.954753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호위도경도지정종별종류
번호1.0000.042-0.0280.6370.529
위도0.0421.0000.6640.2970.097
경도-0.0280.6641.0000.4280.217
지정종별0.6370.2970.4281.0000.929
종류0.5290.0970.2170.9291.000

Missing values

2023-12-12T13:37:34.960824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:37:35.112206image/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

문화재명칭지정종별종류번호지정일소재지 주소위도경도데이터기준일자
0장성 필암서원 문적 일괄국가지정보물5871975-05-10국립광주박물관(위탁보관)35.311606126.7516052023-06-29
1장성 백양사 소요대사탑국가지정보물13462002-09-25전라남도 장성군 북하면 약수리 12035.43473126.8824222023-06-29
2장성 백양사 목조아미타여래좌상국가지정보물20662020-06-23전라남도 장성군 북하면 약수리 2635.440252126.8833182023-06-29
3장성 백양사 아미타여래 설법도 및 복장유물국가지정보물21232021-04-21전라남도 장성군 북하면 약수리 12035.43473126.8824222023-06-29
4장성 필암서원국가지정사적2421975-04-23전라남도 장성군 황룡면 필암리 37735.311746126.7517342023-06-29
5장성 대도리 백자 요지국가지정사적3771992-10-10전라남도 장성군 삼서면 대도리 885 외35.237475126.5954042023-06-29
6장성 입암산성국가지정사적3841993-11-10전라남도 장성군 북하면 신성리 산 20-235.481409126.8322552023-06-29
7장성 황룡 전적국가지정사적4061998-06-10전라남도 장성군 황룡면 장산리 356 외35.296496126.7548632023-06-29
8장성 백양사 백학봉국가지정명 승382008-02-05전라남도 장성군 북하면 약수리 산115-1 외35.447974126.8744682023-06-29
9삼남대로 갈재국가지정명 승1272021-12-08전라남도 장성군 북이면 원덕리 산39-1 외35.461348126.799662023-06-29
문화재명칭지정종별종류번호지정일소재지 주소위도경도데이터기준일자
43장성 진원성전라남도지정문화재자료1121984-02-29전라남도 장성군 진원면 진원리 산 98-135.278503126.8372972023-06-29
44장성 칠현유적지전라남도지정문화재자료1191984-02-29전라남도 장성군 서삼면 모암리 42435.376074126.7603742023-06-29
45장성 금성나씨 삼강문전라남도지정문화재자료1281985-02-23전라남도 장성군 삼서면 우치리 259-235.220122126.6458512023-06-29
46장성 가산사 소재 익재영정전라남도지정문화재자료1641988-03-16전라남도 장성군 삼서면 홍정리 488-235.232045126.693262023-06-29
47장성 청류암 관음전전라남도지정문화재자료1791990-02-24전라남도 장성군 북하면 약수리 51-235.439653126.8701092023-06-29
48장성 봉정사 석조여래입상전라남도지정문화재자료2081999-11-20전라남도 장성군 삼계면 신기리 515-235.276642126.6242532023-06-29
49장성 영천리 고분전라남도지정문화재자료2282001-09-27전라남도 장성군 장성읍 영천리 10035.313854126.7988922023-06-29
50장성 유평리 부귀동 고분전라남도지정문화재자료2292001-09-27전라남도 장성군 삼서면 유평리 441-135.237884126.6319892023-06-29
51장성 김인후 난산비전라남도지정문화재자료2412003-10-04전라남도 장성군 황룡면 맥호리 10035.305933126.7293662023-06-29
52장성 이진환가옥 사랑채(야은재)전라남도지정문화재자료2422003-10-04전라남도 장성군 장성읍 백계리 47835.345913126.8101622023-06-29