Overview

Dataset statistics

Number of variables8
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory67.7 B

Variable types

Categorical2
Text5
DateTime1

Dataset

Description문화재 현황(지정구분, 형태, 문화재명, 지정년월일, 지정번호, 주소, 소유자, 관리자) 정보입니다.
Author전라북도 순창군
URLhttps://www.data.go.kr/data/15055263/fileData.do

Alerts

형태 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 형태High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:36:56.629681
Analysis finished2023-12-12 06:36:57.346190
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
전라북도지정
30 
국가지정
6 

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도지정 30
83.3%
국가지정 6
 
16.7%

Length

2023-12-12T15:36:57.432269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:57.566660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도지정 30
83.3%
국가지정 6
 
16.7%

형태
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
문자
11 
유형
10 
기념
6 
보물
3 
중민
3 
Other values (2)
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
문자 11
30.6%
유형 10
27.8%
기념 6
16.7%
보물 3
 
8.3%
중민 3
 
8.3%
민문 2
 
5.6%
무형 1
 
2.8%

Length

2023-12-12T15:36:57.686681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:57.800506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문자 11
30.6%
유형 10
27.8%
기념 6
16.7%
보물 3
 
8.3%
중민 3
 
8.3%
민문 2
 
5.6%
무형 1
 
2.8%

문화재명
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T15:36:58.030005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.5833333
Min length3

Characters and Unicode

Total characters273
Distinct characters129
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

Unique34 ?
Unique (%)94.4%

Sample

1st row남원양씨종중문서
2nd row설씨부인권선문
3rd row월인석보 제15
4th row순창충신리석장승
5th row순창남계리석장승
ValueCountFrequency (%)
남원양씨종중문서 2
 
4.3%
석산리마애여래좌상 1
 
2.2%
유지 1
 
2.2%
합미성 1
 
2.2%
낙덕정 1
 
2.2%
구암정 1
 
2.2%
어은정 1
 
2.2%
영광정 1
 
2.2%
고려직제학양수생 1
 
2.2%
처 1
 
2.2%
Other values (35) 35
76.1%
2023-12-12T15:36:58.457438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
4.0%
순 9
 
3.3%
창 8
 
2.9%
석 8
 
2.9%
사 7
 
2.6%
리 7
 
2.6%
씨 6
 
2.2%
정 5
 
1.8%
남 5
 
1.8%
신 5
 
1.8%
Other values (119) 202
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
94.9%
Space Separator 11
 
4.0%
Decimal Number 2
 
0.7%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
순 9
 
3.5%
창 8
 
3.1%
석 8
 
3.1%
사 7
 
2.7%
리 7
 
2.7%
씨 6
 
2.3%
정 5
 
1.9%
남 5
 
1.9%
신 5
 
1.9%
인 4
 
1.5%
Other values (115) 195
75.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
94.9%
Common 14
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
순 9
 
3.5%
창 8
 
3.1%
석 8
 
3.1%
사 7
 
2.7%
리 7
 
2.7%
씨 6
 
2.3%
정 5
 
1.9%
남 5
 
1.9%
신 5
 
1.9%
인 4
 
1.5%
Other values (115) 195
75.3%
Common
ValueCountFrequency (%)
11
78.6%
? 1
 
7.1%
1 1
 
7.1%
5 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
94.9%
ASCII 14
 
5.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
78.6%
? 1
 
7.1%
1 1
 
7.1%
5 1
 
7.1%
Hangul
ValueCountFrequency (%)
순 9
 
3.5%
창 8
 
3.1%
석 8
 
3.1%
사 7
 
2.7%
리 7
 
2.7%
씨 6
 
2.3%
정 5
 
1.9%
남 5
 
1.9%
신 5
 
1.9%
인 4
 
1.5%
Other values (115) 195
75.3%

지정년월일
Date

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
Minimum1973-06-23 00:00:00
Maximum2014-10-31 00:00:00
2023-12-12T15:36:58.610793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:36:58.732025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

번호
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T15:36:58.991290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length2.6111111
Min length2

Characters and Unicode

Total characters94
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row725
2nd row728
3rd row745-10
4th row101
5th row102
ValueCountFrequency (%)
725 1
 
2.8%
728 1
 
2.8%
172 1
 
2.8%
70 1
 
2.8%
71 1
 
2.8%
72 1
 
2.8%
131 1
 
2.8%
132 1
 
2.8%
134 1
 
2.8%
184 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T15:36:59.439481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 22
23.4%
2 18
19.1%
7 10
10.6%
8 9
9.6%
4 8
 
8.5%
6 6
 
6.4%
9 6
 
6.4%
5 5
 
5.3%
3 5
 
5.3%
0 4
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 93
98.9%
Dash Punctuation 1
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 22
23.7%
2 18
19.4%
7 10
10.8%
8 9
9.7%
4 8
 
8.6%
6 6
 
6.5%
9 6
 
6.5%
5 5
 
5.4%
3 5
 
5.4%
0 4
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 94
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 22
23.4%
2 18
19.1%
7 10
10.6%
8 9
9.6%
4 8
 
8.5%
6 6
 
6.4%
9 6
 
6.4%
5 5
 
5.3%
3 5
 
5.3%
0 4
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 94
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 22
23.4%
2 18
19.1%
7 10
10.6%
8 9
9.6%
4 8
 
8.5%
6 6
 
6.4%
9 6
 
6.4%
5 5
 
5.3%
3 5
 
5.3%
0 4
 
4.3%

소 재 지
Text

Distinct33
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T15:36:59.683843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.833333
Min length15

Characters and Unicode

Total characters642
Distinct characters70
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

Unique32 ?
Unique (%)88.9%

Sample

1st row전라북도 동계면 구미2길 38
2nd row전라북도 순창읍 남산길 32-3
3rd row전라북도 복흥면 봉덕길 131-144
4th row전라북도 순창읍 장류로 407-11
5th row전라북도 순창읍 남계리 303-8
ValueCountFrequency (%)
전라북도 36
23.7%
순창읍 13
 
8.6%
동계면 7
 
4.6%
팔덕면 5
 
3.3%
남산길 4
 
2.6%
32-3 4
 
2.6%
복흥면 3
 
2.0%
장류로 3
 
2.0%
적성면 3
 
2.0%
외 3
 
2.0%
Other values (66) 71
46.7%
2023-12-12T15:37:00.178113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
18.1%
전 38
 
5.9%
북 36
 
5.6%
도 36
 
5.6%
라 36
 
5.6%
1 23
 
3.6%
면 23
 
3.6%
3 23
 
3.6%
산 19
 
3.0%
2 19
 
3.0%
Other values (60) 273
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
59.5%
Decimal Number 127
 
19.8%
Space Separator 116
 
18.1%
Dash Punctuation 17
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 38
 
9.9%
북 36
 
9.4%
도 36
 
9.4%
라 36
 
9.4%
면 23
 
6.0%
산 19
 
5.0%
길 15
 
3.9%
리 15
 
3.9%
창 15
 
3.9%
순 15
 
3.9%
Other values (48) 134
35.1%
Decimal Number
ValueCountFrequency (%)
1 23
18.1%
3 23
18.1%
2 19
15.0%
4 13
10.2%
5 10
7.9%
8 9
 
7.1%
6 8
 
6.3%
0 8
 
6.3%
7 8
 
6.3%
9 6
 
4.7%
Space Separator
ValueCountFrequency (%)
116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
59.5%
Common 260
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 38
 
9.9%
북 36
 
9.4%
도 36
 
9.4%
라 36
 
9.4%
면 23
 
6.0%
산 19
 
5.0%
길 15
 
3.9%
리 15
 
3.9%
창 15
 
3.9%
순 15
 
3.9%
Other values (48) 134
35.1%
Common
ValueCountFrequency (%)
116
44.6%
1 23
 
8.8%
3 23
 
8.8%
2 19
 
7.3%
- 17
 
6.5%
4 13
 
5.0%
5 10
 
3.8%
8 9
 
3.5%
6 8
 
3.1%
0 8
 
3.1%
Other values (2) 14
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
59.5%
ASCII 260
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
44.6%
1 23
 
8.8%
3 23
 
8.8%
2 19
 
7.3%
- 17
 
6.5%
4 13
 
5.0%
5 10
 
3.8%
8 9
 
3.5%
6 8
 
3.1%
0 8
 
3.1%
Other values (2) 14
 
5.4%
Hangul
ValueCountFrequency (%)
전 38
 
9.9%
북 36
 
9.4%
도 36
 
9.4%
라 36
 
9.4%
면 23
 
6.0%
산 19
 
5.0%
길 15
 
3.9%
리 15
 
3.9%
창 15
 
3.9%
순 15
 
3.9%
Other values (48) 134
35.1%

소유자/(관리자)
Text

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T15:37:00.393643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9.5
Mean length5.1111111
Min length2

Characters and Unicode

Total characters184
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

Unique13 ?
Unique (%)36.1%

Sample

1st row양대우
2nd row고령신씨귀래공파
3rd row구암사
4th row국 유
5th row국 유
ValueCountFrequency (%)
순창군 7
17.5%
고령신씨귀래공파 4
 
10.0%
양대우 2
 
5.0%
구암사 2
 
5.0%
국 2
 
5.0%
유 2
 
5.0%
전라북도교육감 2
 
5.0%
강천사 2
 
5.0%
남원양씨종중 2
 
5.0%
설상환 1
 
2.5%
Other values (14) 14
35.0%
2023-12-12T15:37:00.820914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
씨 11
 
6.0%
순 9
 
4.9%
종 7
 
3.8%
군 7
 
3.8%
창 7
 
3.8%
중 6
 
3.3%
사 6
 
3.3%
신 5
 
2.7%
파 5
 
2.7%
양 5
 
2.7%
Other values (63) 116
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
95.7%
Space Separator 4
 
2.2%
Open Punctuation 2
 
1.1%
Close Punctuation 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
씨 11
 
6.2%
순 9
 
5.1%
종 7
 
4.0%
군 7
 
4.0%
창 7
 
4.0%
중 6
 
3.4%
사 6
 
3.4%
신 5
 
2.8%
파 5
 
2.8%
양 5
 
2.8%
Other values (60) 108
61.4%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 176
95.7%
Common 8
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
씨 11
 
6.2%
순 9
 
5.1%
종 7
 
4.0%
군 7
 
4.0%
창 7
 
4.0%
중 6
 
3.4%
사 6
 
3.4%
신 5
 
2.8%
파 5
 
2.8%
양 5
 
2.8%
Other values (60) 108
61.4%
Common
ValueCountFrequency (%)
4
50.0%
( 2
25.0%
) 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
95.7%
ASCII 8
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
씨 11
 
6.2%
순 9
 
5.1%
종 7
 
4.0%
군 7
 
4.0%
창 7
 
4.0%
중 6
 
3.4%
사 6
 
3.4%
신 5
 
2.8%
파 5
 
2.8%
양 5
 
2.8%
Other values (60) 108
61.4%
ASCII
ValueCountFrequency (%)
4
50.0%
( 2
25.0%
) 2
25.0%

관리자
Text

Distinct19
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-12T15:37:01.069425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.7222222
Min length3

Characters and Unicode

Total characters134
Distinct characters53
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)41.7%

Sample

1st row국립전주박물관
2nd row국립전주박물관
3rd row순창군
4th row순창군
5th row순창군
ValueCountFrequency (%)
순창군 14
37.8%
신진식 3
 
8.1%
국립전주박물관 2
 
5.4%
강천사주지 2
 
5.4%
양수열 1
 
2.7%
양승호 1
 
2.7%
조계문 1
 
2.7%
구암사주지 1
 
2.7%
박종숙 1
 
2.7%
추원재종중 1
 
2.7%
Other values (10) 10
27.0%
2023-12-12T15:37:01.663438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
순 15
 
11.2%
군 14
 
10.4%
창 14
 
10.4%
주 7
 
5.2%
지 5
 
3.7%
사 5
 
3.7%
양 4
 
3.0%
신 4
 
3.0%
진 4
 
3.0%
국 3
 
2.2%
Other values (43) 59
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133
99.3%
Space Separator 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
순 15
 
11.3%
군 14
 
10.5%
창 14
 
10.5%
주 7
 
5.3%
지 5
 
3.8%
사 5
 
3.8%
양 4
 
3.0%
신 4
 
3.0%
진 4
 
3.0%
국 3
 
2.3%
Other values (42) 58
43.6%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133
99.3%
Common 1
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
순 15
 
11.3%
군 14
 
10.5%
창 14
 
10.5%
주 7
 
5.3%
지 5
 
3.8%
사 5
 
3.8%
양 4
 
3.0%
신 4
 
3.0%
진 4
 
3.0%
국 3
 
2.3%
Other values (42) 58
43.6%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133
99.3%
ASCII 1
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
순 15
 
11.3%
군 14
 
10.5%
창 14
 
10.5%
주 7
 
5.3%
지 5
 
3.8%
사 5
 
3.8%
양 4
 
3.0%
신 4
 
3.0%
진 4
 
3.0%
국 3
 
2.3%
Other values (42) 58
43.6%
ASCII
ValueCountFrequency (%)
1
100.0%

Correlations

2023-12-12T15:37:01.825388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분형태문화재명지정년월일번호소 재 지소유자/(관리자)관리자
구분1.0001.0000.0001.0001.0000.0000.0000.000
형태1.0001.0000.8970.9891.0000.8340.7460.206
문화재명0.0000.8971.0000.9431.0000.9761.0000.908
지정년월일1.0000.9890.9431.0001.0000.9310.8770.811
번호1.0001.0001.0001.0001.0001.0001.0001.000
소 재 지0.0000.8340.9760.9311.0001.0000.9790.915
소유자/(관리자)0.0000.7461.0000.8771.0000.9791.0000.944
관리자0.0000.2060.9080.8111.0000.9150.9441.000
2023-12-12T15:37:02.050793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
형태구분
형태1.0000.924
구분0.9241.000
2023-12-12T15:37:02.208803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분형태
구분1.0000.924
형태0.9241.000

Missing values

2023-12-12T15:36:57.153471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:36:57.299333image/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

구분형태문화재명지정년월일번호소 재 지소유자/(관리자)관리자
0국가지정보물남원양씨종중문서1981-07-13725전라북도 동계면 구미2길 38양대우국립전주박물관
1국가지정보물설씨부인권선문1981-07-13728전라북도 순창읍 남산길 32-3고령신씨귀래공파국립전주박물관
2국가지정보물월인석보 제152000-12-22745-10전라북도 복흥면 봉덕길 131-144구암사순창군
3국가지정중민순창충신리석장승1979-01-23101전라북도 순창읍 장류로 407-11국 유순창군
4국가지정중민순창남계리석장승1979-01-23102전라북도 순창읍 남계리 303-8국 유순창군
5국가지정중민순창성황대신사적현판2000-01-13238전라북도 순창읍 장류로 43순창군순창군
6전라북도지정유형순화리삼층석탑1973-06-2326전라북도 순창읍 장류로 295-11전라북도교육감순창군
7전라북도지정유형순창삼인대1973-06-2327전라북도 팔덕면 청계리 산271문화류씨종중 외순창군
8전라북도지정유형순창객사1974-09-2748전라북도 순창읍 순창7길 40전라북도교육감순창군
9전라북도지정유형신경준의 고지도1979-12-2789전라북도 순창읍 남산길 32-3고령신씨귀래공파신광희
구분형태문화재명지정년월일번호소 재 지소유자/(관리자)관리자
26전라북도지정문자고려직제학양수생 처 열부이씨려2000-11-17172전라북도 동계면 구미리 568남원양씨 추원재종중남원양씨 추원재종중
27전라북도지정문자석산리마애여래좌상2003-05-16184전라북도 적성면 석산리 산 130-2순창군순창군
28전라북도지정문자훈몽재 유지2012-11-02189전라북도 쌍치면 둔전2길 83순창군순창군
29전라북도지정기념현포보수로및중건불망비1992-06-2082전라북도 동계면 현포리 산92 외 9필지김해김씨삼현파종중순창군
30전라북도지정기념설씨부인?신경준선생유지1994-08-1086전라북도 순창읍 남산길 32-3고령신씨귀래공파신진식
31전라북도지정기념설진영서실1998-01-0996전라북도 금과면 동전길 24설상환박종숙
32전라북도지정기념강천사모과나무1998-01-0997전라북도 팔덕면 청계리 산324강천사강천사주지
33전라북도지정기념구암사은행나무2004-09-10121전라북도 복흥면 봉덕리 산94구암사구암사주지
34전라북도지정기념옥천부원군조원길묘 및 묘표2005-12-16124전라북도 유등면 건곡리 산86-14옥천조씨대종회조계문
35전라북도지정무형순창농요금과들소리2005-03-1132전라북도 금과면 방대로 655-17금과들소리보존회이정호