Overview

Dataset statistics

Number of variables6
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory52.9 B

Variable types

Categorical4
Text2

Dataset

Description전라남도 광양시에 위치한 문화재 정보입니다. 구분(국가지정, 국가등록, 도지정 등), 지정번호, 명칭, 소재지를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15102826/fileData.do

Alerts

데이터기준일 has constant value ""Constant
구분 is highly overall correlated with 종별High correlation
종별 is highly overall correlated with 구분High correlation
명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:05:14.694261
Analysis finished2023-12-12 18:05:15.251016
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size348.0 B
도지정(17)
17 
국가지정(6)
6 
국가등록(4)
4 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국가지정(6)
2nd row국가지정(6)
3rd row국가지정(6)
4th row국가지정(6)
5th row국가지정(6)

Common Values

ValueCountFrequency (%)
도지정(17) 17
63.0%
국가지정(6) 6
 
22.2%
국가등록(4) 4
 
14.8%

Length

2023-12-13T03:05:15.344939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:05:15.480676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도지정(17 17
63.0%
국가지정(6 6
 
22.2%
국가등록(4 4
 
14.8%

종별
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
유형문화재
8 
기념물
5 
등록문화재
4 
문화재자료
3 
사적
2 
Other values (4)
5 

Length

Max length7
Median length5
Mean length4.3703704
Min length2

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row보물
2nd row사적
3rd row사적
4th row천연기념물
5th row천연기념물

Common Values

ValueCountFrequency (%)
유형문화재 8
29.6%
기념물 5
18.5%
등록문화재 4
14.8%
문화재자료 3
 
11.1%
사적 2
 
7.4%
천연기념물 2
 
7.4%
보물 1
 
3.7%
국가무형문화재 1
 
3.7%
무형문화재 1
 
3.7%

Length

2023-12-13T03:05:15.636609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:05:15.781184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유형문화재 8
29.6%
기념물 5
18.5%
등록문화재 4
14.8%
문화재자료 3
 
11.1%
사적 2
 
7.4%
천연기념물 2
 
7.4%
보물 1
 
3.7%
국가무형문화재 1
 
3.7%
무형문화재 1
 
3.7%

명칭
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T03:05:16.012329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length11
Min length2

Characters and Unicode

Total characters297
Distinct characters110
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

Unique27 ?
Unique (%)100.0%

Sample

1st row중흥산성 삼층석탑
2nd row광양 옥룡사지
3rd row광양 마로산성
4th row광양읍수와 이팝나무
5th row광양 옥룡사 동백나무 숲
ValueCountFrequency (%)
광양 17
 
21.0%
중흥산성 2
 
2.5%
삼층석탑 2
 
2.5%
구 2
 
2.5%
최산두 2
 
2.5%
진월 2
 
2.5%
회은장로비 1
 
1.2%
백운사 1
 
1.2%
유사목판 1
 
1.2%
차문절공 1
 
1.2%
Other values (50) 50
61.7%
2023-12-13T03:05:16.400436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
18.2%
광 21
 
7.1%
양 21
 
7.1%
사 8
 
2.7%
산 7
 
2.4%
지 6
 
2.0%
장 5
 
1.7%
진 5
 
1.7%
석 5
 
1.7%
성 5
 
1.7%
Other values (100) 160
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
81.8%
Space Separator 54
 
18.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 21
 
8.6%
양 21
 
8.6%
사 8
 
3.3%
산 7
 
2.9%
지 6
 
2.5%
장 5
 
2.1%
진 5
 
2.1%
석 5
 
2.1%
성 5
 
2.1%
보 4
 
1.6%
Other values (99) 156
64.2%
Space Separator
ValueCountFrequency (%)
54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
81.8%
Common 54
 
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 21
 
8.6%
양 21
 
8.6%
사 8
 
3.3%
산 7
 
2.9%
지 6
 
2.5%
장 5
 
2.1%
진 5
 
2.1%
석 5
 
2.1%
성 5
 
2.1%
보 4
 
1.6%
Other values (99) 156
64.2%
Common
ValueCountFrequency (%)
54
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
81.8%
ASCII 54
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
100.0%
Hangul
ValueCountFrequency (%)
광 21
 
8.6%
양 21
 
8.6%
사 8
 
3.3%
산 7
 
2.9%
지 6
 
2.5%
장 5
 
2.1%
진 5
 
2.1%
석 5
 
2.1%
성 5
 
2.1%
보 4
 
1.6%
Other values (99) 156
64.2%

구군
Categorical

Distinct7
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size348.0 B
옥룡면
9 
광양읍
9 
진월면
4 
진상면
2 
태인동
1 
Other values (2)
2 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row옥룡면
2nd row옥룡면
3rd row광양읍
4th row광양읍
5th row옥룡면

Common Values

ValueCountFrequency (%)
옥룡면 9
33.3%
광양읍 9
33.3%
진월면 4
14.8%
진상면 2
 
7.4%
태인동 1
 
3.7%
성황동 1
 
3.7%
다압면 1
 
3.7%

Length

2023-12-13T03:05:16.571887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:05:16.701017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옥룡면 9
33.3%
광양읍 9
33.3%
진월면 4
14.8%
진상면 2
 
7.4%
태인동 1
 
3.7%
성황동 1
 
3.7%
다압면 1
 
3.7%

소재지
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-13T03:05:16.940475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length15
Min length10

Characters and Unicode

Total characters405
Distinct characters70
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

Unique25 ?
Unique (%)92.6%

Sample

1st row옥룡면 중흥로 263-100
2nd row옥룡면 추산리 산35-1 외 21필지
3rd row광양읍 용강리 산78번지 외 1필지
4th row광양읍 인동리 193-1 외 40필지
5th row옥룡면 추산리 산35-1, 35-3
ValueCountFrequency (%)
옥룡면 9
 
9.1%
광양읍 9
 
9.1%
외 8
 
8.1%
진월면 4
 
4.0%
매천로 3
 
3.0%
산35-1 2
 
2.0%
1필지 2
 
2.0%
추산리 2
 
2.0%
진상면 2
 
2.0%
중흥로 2
 
2.0%
Other values (53) 56
56.6%
2023-12-13T03:05:17.321305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
17.8%
1 29
 
7.2%
면 16
 
4.0%
지 13
 
3.2%
- 12
 
3.0%
2 12
 
3.0%
양 11
 
2.7%
산 11
 
2.7%
0 11
 
2.7%
광 11
 
2.7%
Other values (60) 207
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 214
52.8%
Decimal Number 105
25.9%
Space Separator 72
 
17.8%
Dash Punctuation 12
 
3.0%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 16
 
7.5%
지 13
 
6.1%
양 11
 
5.1%
산 11
 
5.1%
광 11
 
5.1%
로 9
 
4.2%
룡 9
 
4.2%
리 9
 
4.2%
읍 9
 
4.2%
길 9
 
4.2%
Other values (47) 107
50.0%
Decimal Number
ValueCountFrequency (%)
1 29
27.6%
2 12
11.4%
0 11
 
10.5%
3 11
 
10.5%
9 9
 
8.6%
7 9
 
8.6%
6 7
 
6.7%
8 6
 
5.7%
5 6
 
5.7%
4 5
 
4.8%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 214
52.8%
Common 191
47.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 16
 
7.5%
지 13
 
6.1%
양 11
 
5.1%
산 11
 
5.1%
광 11
 
5.1%
로 9
 
4.2%
룡 9
 
4.2%
리 9
 
4.2%
읍 9
 
4.2%
길 9
 
4.2%
Other values (47) 107
50.0%
Common
ValueCountFrequency (%)
72
37.7%
1 29
15.2%
- 12
 
6.3%
2 12
 
6.3%
0 11
 
5.8%
3 11
 
5.8%
9 9
 
4.7%
7 9
 
4.7%
6 7
 
3.7%
8 6
 
3.1%
Other values (3) 13
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 214
52.8%
ASCII 191
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
37.7%
1 29
15.2%
- 12
 
6.3%
2 12
 
6.3%
0 11
 
5.8%
3 11
 
5.8%
9 9
 
4.7%
7 9
 
4.7%
6 7
 
3.7%
8 6
 
3.1%
Other values (3) 13
 
6.8%
Hangul
ValueCountFrequency (%)
면 16
 
7.5%
지 13
 
6.1%
양 11
 
5.1%
산 11
 
5.1%
광 11
 
5.1%
로 9
 
4.2%
룡 9
 
4.2%
리 9
 
4.2%
읍 9
 
4.2%
길 9
 
4.2%
Other values (47) 107
50.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-07-14
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-14
2nd row2023-07-14
3rd row2023-07-14
4th row2023-07-14
5th row2023-07-14

Common Values

ValueCountFrequency (%)
2023-07-14 27
100.0%

Length

2023-12-13T03:05:17.472847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:05:17.581529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-14 27
100.0%

Correlations

2023-12-13T03:05:17.645740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종별명칭구군소재지
구분1.0001.0001.0000.0000.706
종별1.0001.0001.0000.0000.523
명칭1.0001.0001.0001.0001.000
구군0.0000.0001.0001.0001.000
소재지0.7060.5231.0001.0001.000
2023-12-13T03:05:17.762242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별구군구분
종별1.0000.0000.866
구군0.0001.0000.000
구분0.8660.0001.000
2023-12-13T03:05:17.854530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분종별구군
구분1.0000.8660.000
종별0.8661.0000.000
구군0.0000.0001.000

Missing values

2023-12-13T03:05:15.035975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:05:15.183033image/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

구분종별명칭구군소재지데이터기준일
0국가지정(6)보물중흥산성 삼층석탑옥룡면옥룡면 중흥로 263-1002023-07-14
1국가지정(6)사적광양 옥룡사지옥룡면옥룡면 추산리 산35-1 외 21필지2023-07-14
2국가지정(6)사적광양 마로산성광양읍광양읍 용강리 산78번지 외 1필지2023-07-14
3국가지정(6)천연기념물광양읍수와 이팝나무광양읍광양읍 인동리 193-1 외 40필지2023-07-14
4국가지정(6)천연기념물광양 옥룡사 동백나무 숲옥룡면옥룡면 추산리 산35-1, 35-32023-07-14
5국가지정(6)국가무형문화재장도장광양읍광양읍 매천로 7712023-07-14
6국가등록(4)등록문화재광양서울대학교 남부연습림 관사광양읍광양읍 매천로 7972023-07-14
7국가등록(4)등록문화재윤동주 유고 보존 정병욱 가옥진월면진월면 망덕길 2492023-07-14
8국가등록(4)등록문화재구 광양군청광양읍광양읍 매천로 8292023-07-14
9국가등록(4)등록문화재광양 구 진월면사무소진월면진월면 선소중앙길 312023-07-14
구분종별명칭구군소재지데이터기준일
17도지정(17)유형문화재광양향교광양읍광양읍 향교길 672023-07-14
18도지정(17)유형문화재중흥사 석조지장보살 반가상옥룡면옥룡면 중흥로 263-1002023-07-14
19도지정(17)유형문화재광양 송천사지 회은장로비옥룡면옥룡면 동곡리 산196-1 외 2필지2023-07-14
20도지정(17)유형문화재차문절공 유사목판옥룡면옥룡면 신재로 8782023-07-14
21도지정(17)유형문화재광양 백운사 목조 아미타여래좌상 및 복장유물옥룡면옥룡면 백운사길 3522023-07-14
22도지정(17)유형문화재광양 최산두 종가 고문서광양읍광양읍 서평1길 25-12023-07-14
23도지정(17)문화재자료광양 무등암 목조대세지 보살좌상진상면진상면 학연로 102023-07-14
24도지정(17)문화재자료광양 진월 신아리 보루진월면진월면 신아리 산4번지 외 1필지2023-07-14
25도지정(17)문화재자료광양 다압 섬진진터 석비좌대다압면다압면 섬진강매화로 14972023-07-14
26도지정(17)무형문화재광양 진월 전어잡이 소리진월면진월면 신답길 90-112023-07-14