Overview

Dataset statistics

Number of variables5
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory42.3 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description2024년 2월 현재의 광주광역시 지정 유형문화재(유형문화재, 기념물, 문화재자료, 민속문화재) 현황에 대한 데이터를 제공합니다.*광주광역시: 광주광역시 동구, 서구, 남구, 북구, 광산구
Author광주광역시
URLhttps://www.data.go.kr/data/15016304/fileData.do

Alerts

연번 is highly overall correlated with 종별High correlation
종별 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
명칭 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:12:48.210878
Analysis finished2024-03-14 19:12:49.481035
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.5
Minimum1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size992.0 B
2024-03-15T04:12:49.625978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.75
Q124.75
median48.5
Q372.25
95-th percentile91.25
Maximum96
Range95
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation27.856777
Coefficient of variation (CV)0.57436653
Kurtosis-1.2
Mean48.5
Median Absolute Deviation (MAD)24
Skewness0
Sum4656
Variance776
MonotonicityStrictly increasing
2024-03-15T04:12:50.033508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
50 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%
87 1
1.0%

명칭
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size896.0 B
2024-03-15T04:12:51.097095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length7.5729167
Min length3

Characters and Unicode

Total characters727
Distinct characters181
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

Unique96 ?
Unique (%)100.0%

Sample

1st row증심사 삼층석탑
2nd row광주 십신사지 석불
3rd row광주 십신사지 석비
4th row운천사마애여래좌상
5th row광주 재명석등
ValueCountFrequency (%)
광주 10
 
5.3%
가옥 5
 
2.7%
증심사 4
 
2.1%
목판 3
 
1.6%
소장 3
 
1.6%
회의실 2
 
1.1%
삼강문 2
 
1.1%
고문서 2
 
1.1%
원효사 2
 
1.1%
장고분 2
 
1.1%
Other values (150) 153
81.4%
2024-03-15T04:12:52.557736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
13.1%
사 26
 
3.6%
동 21
 
2.9%
석 18
 
2.5%
광 17
 
2.3%
정 17
 
2.3%
주 16
 
2.2%
장 15
 
2.1%
고 14
 
1.9%
가 13
 
1.8%
Other values (171) 475
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 631
86.8%
Space Separator 95
 
13.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 26
 
4.1%
동 21
 
3.3%
석 18
 
2.9%
광 17
 
2.7%
정 17
 
2.7%
주 16
 
2.5%
장 15
 
2.4%
고 14
 
2.2%
가 13
 
2.1%
문 11
 
1.7%
Other values (169) 463
73.4%
Space Separator
ValueCountFrequency (%)
95
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 631
86.8%
Common 96
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 26
 
4.1%
동 21
 
3.3%
석 18
 
2.9%
광 17
 
2.7%
정 17
 
2.7%
주 16
 
2.5%
장 15
 
2.4%
고 14
 
2.2%
가 13
 
2.1%
문 11
 
1.7%
Other values (169) 463
73.4%
Common
ValueCountFrequency (%)
95
99.0%
, 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 631
86.8%
ASCII 96
 
13.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
99.0%
, 1
 
1.0%
Hangul
ValueCountFrequency (%)
사 26
 
4.1%
동 21
 
3.3%
석 18
 
2.9%
광 17
 
2.7%
정 17
 
2.7%
주 16
 
2.5%
장 15
 
2.4%
고 14
 
2.2%
가 13
 
2.1%
문 11
 
1.7%
Other values (169) 463
73.4%

소재지도로명주소
Text

Distinct79
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Memory size896.0 B
2024-03-15T04:12:53.886167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length23
Mean length17.75
Min length15

Characters and Unicode

Total characters1704
Distinct characters112
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

Unique73 ?
Unique (%)76.0%

Sample

1st row광주광역시 동구 증심사길 177
2nd row광주광역시 북구 서하로 48-25
3rd row광주광역시 북구 서하로 48-25
4th row광주광역시 서구 금호운천길 85-15
5th row광주광역시 동구 문화전당로 38
ValueCountFrequency (%)
광주광역시 96
24.5%
북구 29
 
7.4%
광산구 22
 
5.6%
남구 22
 
5.6%
동구 13
 
3.3%
서구 9
 
2.3%
서하로 8
 
2.0%
48-25 8
 
2.0%
증심사길 5
 
1.3%
77 4
 
1.0%
Other values (145) 176
44.9%
2024-03-15T04:12:55.729125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
17.4%
광 220
 
12.9%
구 96
 
5.6%
역 96
 
5.6%
시 96
 
5.6%
주 96
 
5.6%
1 64
 
3.8%
동 48
 
2.8%
2 44
 
2.6%
7 42
 
2.5%
Other values (102) 605
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1058
62.1%
Decimal Number 313
 
18.4%
Space Separator 297
 
17.4%
Dash Punctuation 34
 
2.0%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 220
20.8%
구 96
 
9.1%
역 96
 
9.1%
시 96
 
9.1%
주 96
 
9.1%
동 48
 
4.5%
산 42
 
4.0%
로 40
 
3.8%
길 36
 
3.4%
북 29
 
2.7%
Other values (89) 259
24.5%
Decimal Number
ValueCountFrequency (%)
1 64
20.4%
2 44
14.1%
7 42
13.4%
5 31
9.9%
4 26
8.3%
0 25
 
8.0%
3 24
 
7.7%
6 21
 
6.7%
8 21
 
6.7%
9 15
 
4.8%
Space Separator
ValueCountFrequency (%)
297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1058
62.1%
Common 646
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 220
20.8%
구 96
 
9.1%
역 96
 
9.1%
시 96
 
9.1%
주 96
 
9.1%
동 48
 
4.5%
산 42
 
4.0%
로 40
 
3.8%
길 36
 
3.4%
북 29
 
2.7%
Other values (89) 259
24.5%
Common
ValueCountFrequency (%)
297
46.0%
1 64
 
9.9%
2 44
 
6.8%
7 42
 
6.5%
- 34
 
5.3%
5 31
 
4.8%
4 26
 
4.0%
0 25
 
3.9%
3 24
 
3.7%
6 21
 
3.3%
Other values (3) 38
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1058
62.1%
ASCII 646
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
46.0%
1 64
 
9.9%
2 44
 
6.8%
7 42
 
6.5%
- 34
 
5.3%
5 31
 
4.8%
4 26
 
4.0%
0 25
 
3.9%
3 24
 
3.7%
6 21
 
3.3%
Other values (3) 38
 
5.9%
Hangul
ValueCountFrequency (%)
광 220
20.8%
구 96
 
9.1%
역 96
 
9.1%
시 96
 
9.1%
주 96
 
9.1%
동 48
 
4.5%
산 42
 
4.0%
로 40
 
3.8%
길 36
 
3.4%
북 29
 
2.7%
Other values (89) 259
24.5%

종별
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size896.0 B
유형문화재
32 
문화재자료
31 
기념물
24 
민속문화재
9 

Length

Max length5
Median length5
Mean length4.5
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유형문화재 32
33.3%
문화재자료 31
32.3%
기념물 24
25.0%
민속문화재 9
 
9.4%

Length

2024-03-15T04:12:56.403851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:12:56.844110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형문화재 32
33.3%
문화재자료 31
32.3%
기념물 24
25.0%
민속문화재 9
 
9.4%

지정일자
Date

Distinct43
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Memory size896.0 B
Minimum1972-01-29 00:00:00
Maximum2024-02-08 00:00:00
2024-03-15T04:12:57.290052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:12:57.786020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

Interactions

2024-03-15T04:12:48.729897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:12:58.078424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번명칭소재지도로명주소종별지정일자
연번1.0001.0000.6730.9520.884
명칭1.0001.0001.0001.0001.000
소재지도로명주소0.6731.0001.0000.4650.977
종별0.9521.0000.4651.0000.716
지정일자0.8841.0000.9770.7161.000
2024-03-15T04:12:58.363503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종별
연번1.0000.849
종별0.8491.000

Missing values

2024-03-15T04:12:49.062662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:12:49.366019image/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

연번명칭소재지도로명주소종별지정일자
01증심사 삼층석탑광주광역시 동구 증심사길 177유형문화재1972-01-29
12광주 십신사지 석불광주광역시 북구 서하로 48-25유형문화재1972-01-29
23광주 십신사지 석비광주광역시 북구 서하로 48-25유형문화재1972-01-29
34운천사마애여래좌상광주광역시 서구 금호운천길 85-15유형문화재1974-09-24
45광주 재명석등광주광역시 동구 문화전당로 38유형문화재1974-12-26
56전남 도청 회의실광주광역시 동구 광산동 11유형문화재1981-10-20
67원효사 동부도광주광역시 북구 금곡동 산209-13유형문화재1981-10-20
78원효사 출토유물광주광역시 북구 하서로 110유형문화재1985-02-25
89광주향교광주광역시 남구 중앙로107번길 5유형문화재1985-02-25
910지산재광주광역시 남구 지산재길 51유형문화재1979-08-03
연번명칭소재지도로명주소종별지정일자
8687석아정 오방정 현판광주광역시 서구 풍암중앙로 68, 금호1차 107동 1503호문화재자료1997-07-03
8788분청사기 전라도 명항아리광주광역시 북구 용봉동 1004-4문화재자료1998-02-21
8889수완동 왕버들광주광역시 광산구 수완동 870-1,700-12문화재자료1999-04-30
8990김봉호 가옥광주광역시 광산구 하남대로54번안길 161문화재자료2000-05-16
9091만취정광주광역시 광산구 본량본촌길 29문화재자료2002-12-27
9192광주수피아여자고등학교 소강당광주광역시 남구 백서로 13문화재자료2011-07-22
9293창녕조씨 삼강정려광주광역시 광산구 용진로 219문화재자료2012-01-19
9394광주 대원정사 석조보살좌상광주광역시 북구 본촌동 27문화재자료2013-02-25
9495취가정광주광역시 북구 환벽당길 42-2문화재자료2014-01-09
9596광산 귀후재광주광역시 광산구 광곡길 78-72문화재자료2022-12-27