Overview

Dataset statistics

Number of variables6
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory51.6 B

Variable types

Categorical2
Text2
DateTime2

Dataset

Description광주광역시 남구에 소재한 문화재(국가, 시, 등록) 37건(2023.9.5일 작성기준) 에 대해 제공합니다.
URLhttps://www.data.go.kr/data/15122274/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly overall correlated with 상세구분High correlation
상세구분 is highly overall correlated with 구분High correlation
구분 is highly imbalanced (50.3%)Imbalance
명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:49:31.842259
Analysis finished2023-12-12 23:49:32.206756
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
광주광역시 지정
31 
등록문화재
4 
국가지정
 
2

Length

Max length8
Median length8
Mean length7.4594595
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 지정 31
83.8%
등록문화재 4
 
10.8%
국가지정 2
 
5.4%

Length

2023-12-13T08:49:32.270614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:32.371305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 31
45.6%
지정 31
45.6%
등록문화재 4
 
5.9%
국가지정 2
 
2.9%

상세구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Memory size428.0 B
유형
11 
무형
10 
기념물
6 
문화재자료
6 
민속문화재
3 

Length

Max length5
Median length2
Mean length2.8918919
Min length2

Unique

Unique1 ?
Unique (%)2.7%

Sample

1st row보물
2nd row무형
3rd row유형
4th row유형
5th row유형

Common Values

ValueCountFrequency (%)
유형 11
29.7%
무형 10
27.0%
기념물 6
16.2%
문화재자료 6
16.2%
민속문화재 3
 
8.1%
보물 1
 
2.7%

Length

2023-12-13T08:49:32.463660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:32.559138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형 11
29.7%
무형 10
27.0%
기념물 6
16.2%
문화재자료 6
16.2%
민속문화재 3
 
8.1%
보물 1
 
2.7%

명칭
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-13T08:49:32.740667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length7.5135135
Min length3

Characters and Unicode

Total characters278
Distinct characters124
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

Unique37 ?
Unique (%)100.0%

Sample

1st row(전)광주 성거사지 오층석탑
2nd row광주덕림사목조지장보살삼존상및시왕상일괄
3rd row광주칠석고싸움놀이
4th row광주향교
5th row지산재
ValueCountFrequency (%)
광주 4
 
7.1%
수피아여학교 3
 
5.4%
구 3
 
5.4%
홀 2
 
3.6%
전)광주 1
 
1.8%
방성춘 1
 
1.8%
및 1
 
1.8%
석곽묘 1
 
1.8%
양과동계고문서 1
 
1.8%
광주수피아여자고등학교 1
 
1.8%
Other values (38) 38
67.9%
2023-12-13T08:49:33.040720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
6.8%
주 10
 
3.6%
광 9
 
3.2%
문 7
 
2.5%
사 7
 
2.5%
수 7
 
2.5%
고 7
 
2.5%
교 6
 
2.2%
동 6
 
2.2%
피 5
 
1.8%
Other values (114) 195
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
92.1%
Space Separator 19
 
6.8%
Open Punctuation 1
 
0.4%
Other Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10
 
3.9%
광 9
 
3.5%
문 7
 
2.7%
사 7
 
2.7%
수 7
 
2.7%
고 7
 
2.7%
교 6
 
2.3%
동 6
 
2.3%
피 5
 
2.0%
아 5
 
2.0%
Other values (110) 187
73.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
92.1%
Common 22
 
7.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10
 
3.9%
광 9
 
3.5%
문 7
 
2.7%
사 7
 
2.7%
수 7
 
2.7%
고 7
 
2.7%
교 6
 
2.3%
동 6
 
2.3%
피 5
 
2.0%
아 5
 
2.0%
Other values (110) 187
73.0%
Common
ValueCountFrequency (%)
19
86.4%
( 1
 
4.5%
, 1
 
4.5%
) 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
92.1%
ASCII 22
 
7.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
86.4%
( 1
 
4.5%
, 1
 
4.5%
) 1
 
4.5%
Hangul
ValueCountFrequency (%)
주 10
 
3.9%
광 9
 
3.5%
문 7
 
2.7%
사 7
 
2.7%
수 7
 
2.7%
고 7
 
2.7%
교 6
 
2.3%
동 6
 
2.3%
피 5
 
2.0%
아 5
 
2.0%
Other values (110) 187
73.0%

소재지
Text

Distinct24
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-13T08:49:33.224718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length14.054054
Min length4

Characters and Unicode

Total characters520
Distinct characters54
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

Unique21 ?
Unique (%)56.8%

Sample

1st row광주광역시 남구 천변좌로338번길 7
2nd row광주광역시 남구 월산로116번길 22
3rd row광주광역시 남구 칠석3길 8-26
4th row광주광역시 남구 중앙로107번길 5
5th row광주광역시 남구 지산재길 51
ValueCountFrequency (%)
남구 28
22.8%
광주광역시 28
22.8%
개인정보 9
 
7.3%
포충로 5
 
4.1%
백서로 4
 
3.3%
13 4
 
3.3%
767 3
 
2.4%
905 2
 
1.6%
양촌길 2
 
1.6%
칠석동 2
 
1.6%
Other values (34) 36
29.3%
2023-12-13T08:49:33.529453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
17.7%
광 56
 
10.8%
남 29
 
5.6%
구 29
 
5.6%
주 28
 
5.4%
역 28
 
5.4%
시 28
 
5.4%
1 16
 
3.1%
로 15
 
2.9%
길 13
 
2.5%
Other values (44) 186
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
65.0%
Space Separator 92
 
17.7%
Decimal Number 85
 
16.3%
Dash Punctuation 4
 
0.8%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 56
16.6%
남 29
 
8.6%
구 29
 
8.6%
주 28
 
8.3%
역 28
 
8.3%
시 28
 
8.3%
로 15
 
4.4%
길 13
 
3.8%
인 9
 
2.7%
개 9
 
2.7%
Other values (31) 94
27.8%
Decimal Number
ValueCountFrequency (%)
1 16
18.8%
3 12
14.1%
7 11
12.9%
2 10
11.8%
0 8
9.4%
4 7
8.2%
6 7
8.2%
5 6
 
7.1%
9 6
 
7.1%
8 2
 
2.4%
Space Separator
ValueCountFrequency (%)
92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
65.0%
Common 182
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 56
16.6%
남 29
 
8.6%
구 29
 
8.6%
주 28
 
8.3%
역 28
 
8.3%
시 28
 
8.3%
로 15
 
4.4%
길 13
 
3.8%
인 9
 
2.7%
개 9
 
2.7%
Other values (31) 94
27.8%
Common
ValueCountFrequency (%)
92
50.5%
1 16
 
8.8%
3 12
 
6.6%
7 11
 
6.0%
2 10
 
5.5%
0 8
 
4.4%
4 7
 
3.8%
6 7
 
3.8%
5 6
 
3.3%
9 6
 
3.3%
Other values (3) 7
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
65.0%
ASCII 182
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
50.5%
1 16
 
8.8%
3 12
 
6.6%
7 11
 
6.0%
2 10
 
5.5%
0 8
 
4.4%
4 7
 
3.8%
6 7
 
3.8%
5 6
 
3.3%
9 6
 
3.3%
Other values (3) 7
 
3.8%
Hangul
ValueCountFrequency (%)
광 56
16.6%
남 29
 
8.6%
구 29
 
8.6%
주 28
 
8.3%
역 28
 
8.3%
시 28
 
8.3%
로 15
 
4.4%
길 13
 
3.8%
인 9
 
2.7%
개 9
 
2.7%
Other values (31) 94
27.8%

지정일
Date

Distinct24
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum1963-01-21 00:00:00
Maximum2021-10-25 00:00:00
2023-12-13T08:49:33.633588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:49:33.732764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
Minimum2023-09-05 00:00:00
Maximum2023-09-05 00:00:00
2023-12-13T08:49:33.815659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:49:33.891285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T08:49:33.947837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분상세구분명칭소재지지정일
구분1.0000.8581.0000.9801.000
상세구분0.8581.0001.0000.9950.893
명칭1.0001.0001.0001.0001.000
소재지0.9800.9951.0001.0000.000
지정일1.0000.8931.0000.0001.000
2023-12-13T08:49:34.020639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분상세구분
구분1.0000.527
상세구분0.5271.000
2023-12-13T08:49:34.080803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분상세구분
구분1.0000.527
상세구분0.5271.000

Missing values

2023-12-13T08:49:32.091597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:49:32.173567image/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

구분상세구분명칭소재지지정일데이터기준일자
0국가지정보물(전)광주 성거사지 오층석탑광주광역시 남구 천변좌로338번길 71963-01-212023-09-05
1국가지정무형광주덕림사목조지장보살삼존상및시왕상일괄광주광역시 남구 월산로116번길 222021-10-252023-09-05
2광주광역시 지정유형광주칠석고싸움놀이광주광역시 남구 칠석3길 8-261970-07-222023-09-05
3광주광역시 지정유형광주향교광주광역시 남구 중앙로107번길 51985-02-252023-09-05
4광주광역시 지정유형지산재광주광역시 남구 지산재길 511979-08-032023-09-05
5광주광역시 지정유형제봉문집목판광주광역시 남구 포충로 7671992-03-162023-09-05
6광주광역시 지정유형포충사소장고경명문적광주광역시 남구 포충로 7671994-07-212023-09-05
7광주광역시 지정유형기대승종가소장문적광주광역시 남구 대남대로350번길 341994-07-212023-09-05
8광주광역시 지정유형오웬기념각광주광역시 남구 백서로70번길 61998-05-072023-09-05
9광주광역시 지정기념물포충사광주광역시 남구 포충로 7671974-05-222023-09-05
구분상세구분명칭소재지지정일데이터기준일자
27광주광역시 지정무형방성춘개인정보2000-05-162023-09-05
28광주광역시 지정무형박화순개인정보2005-09-132023-09-05
29광주광역시 지정무형이복수개인정보2010-01-082023-09-05
30광주광역시 지정무형황승옥개인정보2014-01-092023-09-05
31광주광역시 지정무형김기복개인정보2010-02-162023-09-05
32광주광역시 지정무형민경숙개인정보2014-01-092023-09-05
33등록문화재유형광주 구 수피아여학교 수피아 홀광주광역시 남구 백서로 132005-04-152023-09-05
34등록문화재유형광주 구 수피아여학교 커티스메모리얼 홀광주광역시 남구 백서로 132005-04-152023-09-05
35등록문화재유형광주 구 수피아여학교 윈스브로우홀광주광역시 남구 백서로 132008-02-282023-09-05
36등록문화재유형광주 관덕정광주광역시 남구 사직길 492017-10-202023-09-05