Overview

Dataset statistics

Number of variables7
Number of observations152
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory56.9 B

Variable types

Text3
Categorical3
DateTime1

Dataset

Description충청남도 논산시 소재 문화재 현황 데이터로 문화재명, 지정주체, 지정구분, 지정번호, 지정연도, 지정일자, 행정구역, 위치 현황을 포함하고 있습니다.
Author충청남도 논산시
URLhttps://www.data.go.kr/data/3073449/fileData.do

Alerts

지정주체 is highly overall correlated with 지정구분High correlation
지정구분 is highly overall correlated with 지정주체High correlation
문화재명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:32:28.011520
Analysis finished2024-03-23 05:32:37.560282
Duration9.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

문화재명
Text

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-23T14:32:37.950305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length8.0197368
Min length3

Characters and Unicode

Total characters1219
Distinct characters219
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)100.0%

Sample

1st row논산 관촉사 석조미륵보살입상
2nd row논산 개태사지 석조여래삼존입상
3rd row논산 관촉사 석등
4th row논산 쌍계사 대웅전
5th row성주도씨 종중문서
ValueCountFrequency (%)
논산 29
 
9.1%
강경 7
 
2.2%
구 6
 
1.9%
돈암서원 5
 
1.6%
연산 5
 
1.6%
재실 5
 
1.6%
고분군 4
 
1.2%
파평윤씨 4
 
1.2%
관촉사 4
 
1.2%
및 3
 
0.9%
Other values (220) 248
77.5%
2024-03-23T14:32:39.369558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
13.8%
산 56
 
4.6%
논 34
 
2.8%
사 31
 
2.5%
리 25
 
2.1%
서 23
 
1.9%
원 20
 
1.6%
성 20
 
1.6%
정 17
 
1.4%
강 17
 
1.4%
Other values (209) 808
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1043
85.6%
Space Separator 168
 
13.8%
Other Punctuation 4
 
0.3%
Dash Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 56
 
5.4%
논 34
 
3.3%
사 31
 
3.0%
리 25
 
2.4%
서 23
 
2.2%
원 20
 
1.9%
성 20
 
1.9%
정 17
 
1.6%
강 17
 
1.6%
재 17
 
1.6%
Other values (202) 783
75.1%
Other Punctuation
ValueCountFrequency (%)
· 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1043
85.6%
Common 176
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 56
 
5.4%
논 34
 
3.3%
사 31
 
3.0%
리 25
 
2.4%
서 23
 
2.2%
원 20
 
1.9%
성 20
 
1.9%
정 17
 
1.6%
강 17
 
1.6%
재 17
 
1.6%
Other values (202) 783
75.1%
Common
ValueCountFrequency (%)
168
95.5%
· 3
 
1.7%
- 1
 
0.6%
) 1
 
0.6%
( 1
 
0.6%
/ 1
 
0.6%
5 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1043
85.6%
ASCII 173
 
14.2%
None 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
97.1%
- 1
 
0.6%
) 1
 
0.6%
( 1
 
0.6%
/ 1
 
0.6%
5 1
 
0.6%
Hangul
ValueCountFrequency (%)
산 56
 
5.4%
논 34
 
3.3%
사 31
 
3.0%
리 25
 
2.4%
서 23
 
2.2%
원 20
 
1.9%
성 20
 
1.9%
정 17
 
1.6%
강 17
 
1.6%
재 17
 
1.6%
Other values (202) 783
75.1%
None
ValueCountFrequency (%)
· 3
100.0%

지정주체
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
도지정
79 
향토유산
44 
국가지정
18 
국가등록유산
11 

Length

Max length6
Median length3
Mean length3.625
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도지정 79
52.0%
향토유산 44
28.9%
국가지정 18
 
11.8%
국가등록유산 11
 
7.2%

Length

2024-03-23T14:32:39.976470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:32:40.270644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도지정 79
52.0%
향토유산 44
28.9%
국가지정 18
 
11.8%
국가등록유산 11
 
7.2%

지정구분
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
향토유산
44 
문화유산자료
34 
유형문화유산
23 
기념물
16 
국가등록유산
11 
Other values (7)
24 

Length

Max length6
Median length5
Mean length4.6907895
Min length2

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
향토유산 44
28.9%
문화유산자료 34
22.4%
유형문화유산 23
15.1%
기념물 16
 
10.5%
국가등록유산 11
 
7.2%
보물 9
 
5.9%
사적 4
 
2.6%
국가민속유산 3
 
2.0%
무형유산 3
 
2.0%
민속문화유산 3
 
2.0%
Other values (2) 2
 
1.3%

Length

2024-03-23T14:32:40.639709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
향토유산 44
28.9%
문화유산자료 34
22.4%
유형문화유산 23
15.1%
기념물 16
 
10.5%
국가등록유산 11
 
7.2%
보물 9
 
5.9%
사적 4
 
2.6%
국가민속유산 3
 
2.0%
무형유산 3
 
2.0%
민속문화유산 3
 
2.0%
Other values (2) 2
 
1.3%

지정번호
Text

Distinct129
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-23T14:32:41.271287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.4342105
Min length1

Characters and Unicode

Total characters370
Distinct characters16
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

Unique109 ?
Unique (%)71.7%

Sample

1st row323
2nd row219
3rd row232
4th row408
5th row724
ValueCountFrequency (%)
47 3
 
2.0%
20 3
 
2.0%
10 3
 
2.0%
152 2
 
1.3%
44 2
 
1.3%
323 2
 
1.3%
9 2
 
1.3%
46 2
 
1.3%
42 2
 
1.3%
48 2
 
1.3%
Other values (119) 129
84.9%
2024-03-23T14:32:42.280292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 57
15.4%
1 48
13.0%
3 47
12.7%
4 35
9.5%
7 32
8.6%
9 30
8.1%
6 28
7.6%
5 28
7.6%
0 27
7.3%
8 26
7.0%
Other values (6) 12
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 358
96.8%
Other Letter 12
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 57
15.9%
1 48
13.4%
3 47
13.1%
4 35
9.8%
7 32
8.9%
9 30
8.4%
6 28
7.8%
5 28
7.8%
0 27
7.5%
8 26
7.3%
Other Letter
ValueCountFrequency (%)
데 2
16.7%
이 2
16.7%
터 2
16.7%
부 2
16.7%
존 2
16.7%
재 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 358
96.8%
Hangul 12
 
3.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 57
15.9%
1 48
13.4%
3 47
13.1%
4 35
9.8%
7 32
8.9%
9 30
8.4%
6 28
7.8%
5 28
7.8%
0 27
7.5%
8 26
7.3%
Hangul
ValueCountFrequency (%)
데 2
16.7%
이 2
16.7%
터 2
16.7%
부 2
16.7%
존 2
16.7%
재 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 358
96.8%
Hangul 12
 
3.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 57
15.9%
1 48
13.4%
3 47
13.1%
4 35
9.8%
7 32
8.9%
9 30
8.4%
6 28
7.8%
5 28
7.8%
0 27
7.5%
8 26
7.3%
Hangul
ValueCountFrequency (%)
데 2
16.7%
이 2
16.7%
터 2
16.7%
부 2
16.7%
존 2
16.7%
재 2
16.7%

지정일
Date

Distinct76
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1963-01-21 00:00:00
Maximum2023-11-22 00:00:00
2024-03-23T14:32:42.551569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:32:42.952796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행정구역
Categorical

Distinct16
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
연산면
39 
노성면
19 
강경읍
16 
상월면
14 
부적면
14 
Other values (11)
50 

Length

Max length8
Median length3
Mean length3.0723684
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row취암동
2nd row연산면
3rd row취암동
4th row양촌면
5th row연산면

Common Values

ValueCountFrequency (%)
연산면 39
25.7%
노성면 19
12.5%
강경읍 16
10.5%
상월면 14
 
9.2%
부적면 14
 
9.2%
양촌면 10
 
6.6%
연무읍 6
 
3.9%
가야곡면 6
 
3.9%
취암동 5
 
3.3%
광석면 5
 
3.3%
Other values (6) 18
11.8%

Length

2024-03-23T14:32:43.254255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연산면 39
25.5%
노성면 19
12.4%
강경읍 16
10.5%
상월면 15
 
9.8%
부적면 14
 
9.2%
양촌면 10
 
6.5%
연무읍 6
 
3.9%
가야곡면 6
 
3.9%
취암동 5
 
3.3%
광석면 5
 
3.3%
Other values (6) 18
11.8%

위치
Text

Distinct131
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-23T14:32:43.954976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25.5
Mean length21.842105
Min length16

Characters and Unicode

Total characters3320
Distinct characters122
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)78.3%

Sample

1st row충청남도 논산시 관촉로1번길 25
2nd row충청남도 논산시 연산면 계백로 2614-11
3rd row충청남도 논산시 관촉로1번길 25
4th row충청남도 논산시 양촌면 중산길 192
5th row충청남도 논산시 연산면 관동길 66-21
ValueCountFrequency (%)
충청남도 151
19.5%
논산시 151
19.5%
연산면 39
 
5.0%
산 25
 
3.2%
노성면 19
 
2.5%
강경읍 16
 
2.1%
상월면 14
 
1.8%
부적면 14
 
1.8%
양촌면 10
 
1.3%
50 7
 
0.9%
Other values (233) 327
42.3%
2024-03-23T14:32:44.870530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
623
18.8%
산 238
 
7.2%
충 156
 
4.7%
청 153
 
4.6%
도 153
 
4.6%
남 152
 
4.6%
시 152
 
4.6%
논 151
 
4.5%
1 121
 
3.6%
면 121
 
3.6%
Other values (112) 1300
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2062
62.1%
Space Separator 623
 
18.8%
Decimal Number 548
 
16.5%
Dash Punctuation 86
 
2.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 238
 
11.5%
충 156
 
7.6%
청 153
 
7.4%
도 153
 
7.4%
남 152
 
7.4%
시 152
 
7.4%
논 151
 
7.3%
면 121
 
5.9%
길 83
 
4.0%
로 50
 
2.4%
Other values (99) 653
31.7%
Decimal Number
ValueCountFrequency (%)
1 121
22.1%
2 92
16.8%
3 60
10.9%
4 53
9.7%
5 52
9.5%
6 49
8.9%
8 34
 
6.2%
0 34
 
6.2%
7 29
 
5.3%
9 24
 
4.4%
Space Separator
ValueCountFrequency (%)
623
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2062
62.1%
Common 1258
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 238
 
11.5%
충 156
 
7.6%
청 153
 
7.4%
도 153
 
7.4%
남 152
 
7.4%
시 152
 
7.4%
논 151
 
7.3%
면 121
 
5.9%
길 83
 
4.0%
로 50
 
2.4%
Other values (99) 653
31.7%
Common
ValueCountFrequency (%)
623
49.5%
1 121
 
9.6%
2 92
 
7.3%
- 86
 
6.8%
3 60
 
4.8%
4 53
 
4.2%
5 52
 
4.1%
6 49
 
3.9%
8 34
 
2.7%
0 34
 
2.7%
Other values (3) 54
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2062
62.1%
ASCII 1258
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
623
49.5%
1 121
 
9.6%
2 92
 
7.3%
- 86
 
6.8%
3 60
 
4.8%
4 53
 
4.2%
5 52
 
4.1%
6 49
 
3.9%
8 34
 
2.7%
0 34
 
2.7%
Other values (3) 54
 
4.3%
Hangul
ValueCountFrequency (%)
산 238
 
11.5%
충 156
 
7.6%
청 153
 
7.4%
도 153
 
7.4%
남 152
 
7.4%
시 152
 
7.4%
논 151
 
7.3%
면 121
 
5.9%
길 83
 
4.0%
로 50
 
2.4%
Other values (99) 653
31.7%

Correlations

2024-03-23T14:32:45.031008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정주체지정구분지정일행정구역
지정주체1.0001.0001.0000.759
지정구분1.0001.0000.9920.602
지정일1.0000.9921.0000.812
행정구역0.7590.6020.8121.000
2024-03-23T14:32:45.197816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정주체행정구역지정구분
지정주체1.0000.4370.973
행정구역0.4371.0000.256
지정구분0.9730.2561.000
2024-03-23T14:32:45.357627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정주체지정구분행정구역
지정주체1.0000.9730.437
지정구분0.9731.0000.256
행정구역0.4370.2561.000

Missing values

2024-03-23T14:32:37.169339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:32:37.395647image/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

문화재명지정주체지정구분지정번호지정일행정구역위치
0논산 관촉사 석조미륵보살입상국가지정국보3232018-04-20취암동충청남도 논산시 관촉로1번길 25
1논산 개태사지 석조여래삼존입상국가지정보물2191963-01-21연산면충청남도 논산시 연산면 계백로 2614-11
2논산 관촉사 석등국가지정보물2321963-01-21취암동충청남도 논산시 관촉로1번길 25
3논산 쌍계사 대웅전국가지정보물4081963-09-03양촌면충청남도 논산시 양촌면 중산길 192
4성주도씨 종중문서국가지정보물7241981-07-15연산면충청남도 논산시 연산면 관동길 66-21
5남양전씨 종중문서국가지정보물7271981-07-15성동면충청남도 논산시 성동면 금백로563번길 57-6
6윤증 초상 일괄국가지정보물14952006-12-29노성면충청남도 논산시 노성면 노성산성길 50
7논산 돈암서원 응도당국가지정보물15692008-07-10연산면충청남도 논산시 연산면 임3길 26-14
8논산 노강서원 강당국가지정보물17462011-12-30광석면충청남도 논산시 광석면 오강길 56-5
9논산 쌍계사 소조석가여래삼불좌상국가지정보물18512015-03-04양촌면충청남도 논산시 양촌면 중산길 192
문화재명지정주체지정구분지정번호지정일행정구역위치
142한양촌 성삼문선생 유허지향토유산향토유산412012-05-10부적면충청남도 논산시 부적면 충곡리 446-2
143암천처사 조대향토유산향토유산422012-05-10상월면충청남도 논산시 상월면 학당리 산 19-13
144무안박씨 고문서향토유산향토유산432012-05-10상월면충청남도 논산시 상월면 학당리 230
145반곡리 산신제향토유산향토유산442014-01-02양촌면충청남도 논산시 양촌면 반곡리
146고산임화 동제와 소금단지 화재맥이향토유산향토유산452015-01-19양촌면충청남도 논산시 양촌면 임화리
147논산 부인당제향토유산향토유산462020-12-14부적면충청남도 논산시 부적면 부인리 495
148박이현·박영서 정려향토유산향토유산472022-06-27광석면충청남도 논산시 광석면 왕전리 25-8
149김경승 묘향토유산향토유산482022-06-27부적면충청남도 논산시 부적면 신풍리 산 5-2
150윤희중 고택향토유산향토유산492022-06-27광석면충청남도 논산시 광석면 신당3길 9
151논산 부창동 성당향토유산향토유산502022-06-27부창동충청남도 논산시 시민로 405