Overview

Dataset statistics

Number of variables7
Number of observations145
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory57.9 B

Variable types

Text2
Categorical3
Numeric1
DateTime1

Dataset

Description충청남도 논산시 소재 문화재 현황 데이터로 문화재명, 지정주체, 지정구분, 지정번호, 지정연도, 지정일자, 행정구역, 위치 현황을 포함하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=388&beforeMenuCd=DOM_000000201001001000&publicdatapk=3073449

Alerts

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

Reproduction

Analysis started2024-01-09 23:06:28.802327
Analysis finished2024-01-09 23:06:29.367765
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

문화재명
Text

UNIQUE 

Distinct145
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T08:06:29.544818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.8689655
Min length3

Characters and Unicode

Total characters1141
Distinct characters212
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
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 26
 
8.6%
강경 7
 
2.3%
구 6
 
2.0%
재실 5
 
1.7%
연산 5
 
1.7%
돈암서원 5
 
1.7%
고분군 4
 
1.3%
관촉사 4
 
1.3%
개태사지 3
 
1.0%
윤황선생 3
 
1.0%
Other values (209) 233
77.4%
2024-01-10T08:06:29.928706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
13.7%
산 50
 
4.4%
사 30
 
2.6%
논 29
 
2.5%
리 25
 
2.2%
서 22
 
1.9%
원 20
 
1.8%
성 18
 
1.6%
재 17
 
1.5%
강 17
 
1.5%
Other values (202) 757
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 981
86.0%
Space Separator 156
 
13.7%
Other Punctuation 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 50
 
5.1%
사 30
 
3.1%
논 29
 
3.0%
리 25
 
2.5%
서 22
 
2.2%
원 20
 
2.0%
성 18
 
1.8%
재 17
 
1.7%
강 17
 
1.7%
석 16
 
1.6%
Other values (198) 737
75.1%
Space Separator
ValueCountFrequency (%)
156
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 981
86.0%
Common 160
 
14.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 50
 
5.1%
사 30
 
3.1%
논 29
 
3.0%
리 25
 
2.5%
서 22
 
2.2%
원 20
 
2.0%
성 18
 
1.8%
재 17
 
1.7%
강 17
 
1.7%
석 16
 
1.6%
Other values (198) 737
75.1%
Common
ValueCountFrequency (%)
156
97.5%
· 2
 
1.2%
) 1
 
0.6%
( 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 981
86.0%
ASCII 158
 
13.8%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
98.7%
) 1
 
0.6%
( 1
 
0.6%
Hangul
ValueCountFrequency (%)
산 50
 
5.1%
사 30
 
3.1%
논 29
 
3.0%
리 25
 
2.5%
서 22
 
2.2%
원 20
 
2.0%
성 18
 
1.8%
재 17
 
1.7%
강 17
 
1.7%
석 16
 
1.6%
Other values (198) 737
75.1%
None
ValueCountFrequency (%)
· 2
100.0%

지정주체
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
도지정
78 
향토유적
39 
국가지정
17 
등록문화재
11 

Length

Max length5
Median length3
Mean length3.537931
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도지정 78
53.8%
향토유적 39
26.9%
국가지정 17
 
11.7%
등록문화재 11
 
7.6%

Length

2024-01-10T08:06:30.055559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:06:30.159243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도지정 78
53.8%
향토유적 39
26.9%
국가지정 17
 
11.7%
등록문화재 11
 
7.6%

지정구분
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
향토유적
39 
문화재자료
34 
유형문화재
23 
기념물
15 
등록문화재
11 
Other values (7)
23 

Length

Max length7
Median length5
Mean length4.2965517
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
향토유적 39
26.9%
문화재자료 34
23.4%
유형문화재 23
15.9%
기념물 15
 
10.3%
등록문화재 11
 
7.6%
보물 9
 
6.2%
사적 3
 
2.1%
국가민속문화재 3
 
2.1%
무형문화재 3
 
2.1%
민속문화재 3
 
2.1%
Other values (2) 2
 
1.4%

Length

2024-01-10T08:06:30.264279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
향토유적 39
26.9%
문화재자료 34
23.4%
유형문화재 23
15.9%
기념물 15
 
10.3%
등록문화재 11
 
7.6%
보물 9
 
6.2%
사적 3
 
2.1%
국가민속문화재 3
 
2.1%
무형문화재 3
 
2.1%
민속문화재 3
 
2.1%
Other values (2) 2
 
1.4%

지정번호
Real number (ℝ)

Distinct126
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.44138
Minimum1
Maximum1851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-10T08:06:30.376656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q130
median80
Q3294
95-th percentile601.8
Maximum1851
Range1850
Interquartile range (IQR)264

Descriptive statistics

Standard deviation297.99317
Coefficient of variation (CV)1.5247189
Kurtosis15.346602
Mean195.44138
Median Absolute Deviation (MAD)67
Skewness3.5653114
Sum28339
Variance88799.929
MonotonicityNot monotonic
2024-01-10T08:06:30.507571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3
 
2.1%
10 3
 
2.1%
323 2
 
1.4%
9 2
 
1.4%
1 2
 
1.4%
42 2
 
1.4%
47 2
 
1.4%
44 2
 
1.4%
27 2
 
1.4%
26 2
 
1.4%
Other values (116) 123
84.8%
ValueCountFrequency (%)
1 2
1.4%
2 1
 
0.7%
4 1
 
0.7%
6 1
 
0.7%
7 1
 
0.7%
8 1
 
0.7%
9 2
1.4%
10 3
2.1%
11 2
1.4%
12 2
1.4%
ValueCountFrequency (%)
1851 1
0.7%
1746 1
0.7%
1569 1
0.7%
1495 1
0.7%
727 1
0.7%
724 1
0.7%
650 1
0.7%
602 1
0.7%
601 1
0.7%
540 1
0.7%

지정일
Date

Distinct72
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1963-01-21 00:00:00
Maximum2018-04-20 00:00:00
2024-01-10T08:06:30.626492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:06:30.748560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행정구역
Categorical

Distinct15
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
연산면
39 
노성면
18 
강경읍
16 
상월면
14 
부적면
12 
Other values (10)
46 

Length

Max length4
Median length3
Mean length3.0413793
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
연산면 39
26.9%
노성면 18
12.4%
강경읍 16
11.0%
상월면 14
 
9.7%
부적면 12
 
8.3%
양촌면 10
 
6.9%
연무읍 6
 
4.1%
가야곡면 6
 
4.1%
취암동 5
 
3.4%
은진면 4
 
2.8%
Other values (5) 15
 
10.3%

Length

2024-01-10T08:06:30.871014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연산면 39
26.9%
노성면 18
12.4%
강경읍 16
11.0%
상월면 14
 
9.7%
부적면 12
 
8.3%
양촌면 10
 
6.9%
연무읍 6
 
4.1%
가야곡면 6
 
4.1%
취암동 5
 
3.4%
은진면 4
 
2.8%
Other values (5) 15
 
10.3%

위치
Text

Distinct125
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T08:06:31.151030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length21.903448
Min length16

Characters and Unicode

Total characters3176
Distinct characters118
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

Unique114 ?
Unique (%)78.6%

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 145
19.7%
논산시 145
19.7%
연산면 39
 
5.3%
산 22
 
3.0%
노성면 18
 
2.4%
강경읍 16
 
2.2%
상월면 14
 
1.9%
부적면 12
 
1.6%
양촌면 10
 
1.4%
50 7
 
0.9%
Other values (222) 309
41.9%
2024-01-10T08:06:31.596992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
594
18.7%
산 228
 
7.2%
충 149
 
4.7%
도 147
 
4.6%
청 147
 
4.6%
남 146
 
4.6%
논 145
 
4.6%
시 145
 
4.6%
1 117
 
3.7%
면 115
 
3.6%
Other values (108) 1243
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1975
62.2%
Space Separator 594
 
18.7%
Decimal Number 526
 
16.6%
Dash Punctuation 81
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 228
 
11.5%
충 149
 
7.5%
도 147
 
7.4%
청 147
 
7.4%
남 146
 
7.4%
논 145
 
7.3%
시 145
 
7.3%
면 115
 
5.8%
길 82
 
4.2%
로 49
 
2.5%
Other values (96) 622
31.5%
Decimal Number
ValueCountFrequency (%)
1 117
22.2%
2 89
16.9%
3 58
11.0%
4 51
9.7%
6 49
9.3%
5 47
8.9%
8 33
 
6.3%
0 32
 
6.1%
7 28
 
5.3%
9 22
 
4.2%
Space Separator
ValueCountFrequency (%)
594
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1975
62.2%
Common 1201
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 228
 
11.5%
충 149
 
7.5%
도 147
 
7.4%
청 147
 
7.4%
남 146
 
7.4%
논 145
 
7.3%
시 145
 
7.3%
면 115
 
5.8%
길 82
 
4.2%
로 49
 
2.5%
Other values (96) 622
31.5%
Common
ValueCountFrequency (%)
594
49.5%
1 117
 
9.7%
2 89
 
7.4%
- 81
 
6.7%
3 58
 
4.8%
4 51
 
4.2%
6 49
 
4.1%
5 47
 
3.9%
8 33
 
2.7%
0 32
 
2.7%
Other values (2) 50
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1975
62.2%
ASCII 1201
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
594
49.5%
1 117
 
9.7%
2 89
 
7.4%
- 81
 
6.7%
3 58
 
4.8%
4 51
 
4.2%
6 49
 
4.1%
5 47
 
3.9%
8 33
 
2.7%
0 32
 
2.7%
Other values (2) 50
 
4.2%
Hangul
ValueCountFrequency (%)
산 228
 
11.5%
충 149
 
7.5%
도 147
 
7.4%
청 147
 
7.4%
남 146
 
7.4%
논 145
 
7.3%
시 145
 
7.3%
면 115
 
5.8%
길 82
 
4.2%
로 49
 
2.5%
Other values (96) 622
31.5%

Interactions

2024-01-10T08:06:29.122427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:06:31.684013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정주체지정구분지정번호지정일행정구역
지정주체1.0001.0000.6091.0000.672
지정구분1.0001.0000.8460.9950.549
지정번호0.6090.8461.0000.9970.344
지정일1.0000.9950.9971.0000.758
행정구역0.6720.5490.3440.7581.000
2024-01-10T08:06:31.773393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정구분행정구역지정주체
지정구분1.0000.2310.971
행정구역0.2311.0000.434
지정주체0.9710.4341.000
2024-01-10T08:06:31.853264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정번호지정주체지정구분행정구역
지정번호1.0000.4360.4880.161
지정주체0.4361.0000.9710.434
지정구분0.4880.9711.0000.231
행정구역0.1610.4340.2311.000

Missing values

2024-01-10T08:06:29.228220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:06:29.328347image/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
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135서재필박사 본가지향토유적향토유적362007-12-18연무읍충청남도 논산시 연무읍 왕릉로48번길 24
136도평리 산신제향토유적향토유적372007-12-18양촌면충청남도 논산시 양촌면 도평리 3리 산 5-1
137구 강경침례교회 최초예배지향토유적향토유적382009-11-05강경읍충청남도 논산시 강경읍 옥녀봉로73번길 28-12
138연산면 오산리 산신제향토유적향토유적392009-11-05연산면충청남도 논산시 연산면 오산리
139관음사 일주문 및 종각향토유적향토유적402009-11-05부창동충청남도 논산시 계백로 930
140한양촌 성삼문선생 유허지향토유적향토유적412012-05-10부적면충청남도 논산시 부적면 충곡리 446-2
141암천처사 조대향토유적향토유적422012-05-10상월면충청남도 논산시 상월면 학당리 산 19-13
142무안박씨 고문서향토유적향토유적432012-05-10상월면충청남도 논산시 상월면 학당리 230
143반곡리 산신제향토유적향토유적442014-01-02양촌면충청남도 논산시 양촌면 반곡리
144고산임화 동제와 소금단지 화재맥이향토유적향토유적452015-01-19양촌면충청남도 논산시 양촌면 임화리