Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells5
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory54.0 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description경기도 과천시 관내 문화재 현황에 대한 데이터로 문화재 구분, 지정번호, 문화재명칭, 지정년월일, 소유자, 주소 등의 정보를 제공합니다.
Author경기도 과천시
URLhttps://www.data.go.kr/data/3035498/fileData.do

Alerts

주소 has 5 (22.7%) missing valuesMissing
지정번호 has unique valuesUnique
문화재명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:06:14.464734
Analysis finished2023-12-12 18:06:14.981118
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct7
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
경기도지정유형문화재
5 
경기도지정무형문화재
5 
과천시향토유적
4 
경기도지정기념물
3 
경기도지정문화재자료
3 
Other values (2)
2 

Length

Max length10
Median length10
Mean length8.6818182
Min length2

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row국보
2nd row중요무형문화재
3rd row경기도지정유형문화재
4th row경기도지정유형문화재
5th row경기도지정유형문화재

Common Values

ValueCountFrequency (%)
경기도지정유형문화재 5
22.7%
경기도지정무형문화재 5
22.7%
과천시향토유적 4
18.2%
경기도지정기념물 3
13.6%
경기도지정문화재자료 3
13.6%
국보 1
 
4.5%
중요무형문화재 1
 
4.5%

Length

2023-12-13T03:06:15.064137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:06:15.217478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도지정유형문화재 5
22.7%
경기도지정무형문화재 5
22.7%
과천시향토유적 4
18.2%
경기도지정기념물 3
13.6%
경기도지정문화재자료 3
13.6%
국보 1
 
4.5%
중요무형문화재 1
 
4.5%

지정번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T03:06:15.469038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length2.4545455
Min length1

Characters and Unicode

Total characters54
Distinct characters16
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row248
2nd row58
3rd row81
4th row100
5th row104
ValueCountFrequency (%)
248 1
 
4.5%
58 1
 
4.5%
5 1
 
4.5%
4 1
 
4.5%
3 1
 
4.5%
77 1
 
4.5%
39 1
 
4.5%
9 1
 
4.5%
51 1
 
4.5%
44-나 1
 
4.5%
Other values (12) 12
54.5%
2023-12-13T03:06:15.885968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 11
20.4%
1 9
16.7%
0 5
9.3%
2 4
 
7.4%
9 4
 
7.4%
8 3
 
5.6%
5 3
 
5.6%
- 3
 
5.6%
3 3
 
5.6%
6 2
 
3.7%
Other values (6) 7
13.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46
85.2%
Dash Punctuation 3
 
5.6%
Lowercase Letter 2
 
3.7%
Other Letter 2
 
3.7%
Uppercase Letter 1
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 11
23.9%
1 9
19.6%
0 5
10.9%
2 4
 
8.7%
9 4
 
8.7%
8 3
 
6.5%
5 3
 
6.5%
3 3
 
6.5%
6 2
 
4.3%
7 2
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
b 1
50.0%
Other Letter
ValueCountFrequency (%)
가 1
50.0%
나 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49
90.7%
Latin 3
 
5.6%
Hangul 2
 
3.7%

Most frequent character per script

Common
ValueCountFrequency (%)
4 11
22.4%
1 9
18.4%
0 5
10.2%
2 4
 
8.2%
9 4
 
8.2%
8 3
 
6.1%
5 3
 
6.1%
- 3
 
6.1%
3 3
 
6.1%
6 2
 
4.1%
Latin
ValueCountFrequency (%)
F 1
33.3%
e 1
33.3%
b 1
33.3%
Hangul
ValueCountFrequency (%)
가 1
50.0%
나 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52
96.3%
Hangul 2
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 11
21.2%
1 9
17.3%
0 5
9.6%
2 4
 
7.7%
9 4
 
7.7%
8 3
 
5.8%
5 3
 
5.8%
- 3
 
5.8%
3 3
 
5.8%
6 2
 
3.8%
Other values (4) 5
9.6%
Hangul
ValueCountFrequency (%)
가 1
50.0%
나 1
50.0%

문화재명칭
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T03:06:16.132431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length7.4545455
Min length3

Characters and Unicode

Total characters164
Distinct characters89
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row조선방역지도
2nd row줄타기
3rd row효령대군영정
4th row온온사
5th row연주암 3층 석탑
ValueCountFrequency (%)
조선방역지도 1
 
3.7%
경기소리(나-긴잡가 1
 
3.7%
마애명문 1
 
3.7%
역대현감비석군 1
 
3.7%
홍촌마애승상 1
 
3.7%
효자최사립정문 1
 
3.7%
문원리사지석조보살입상 1
 
3.7%
문원리3층석탑 1
 
3.7%
과천향교 1
 
3.7%
양태장 1
 
3.7%
Other values (17) 17
63.0%
2023-12-13T03:06:16.529634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 7
 
4.3%
5
 
3.0%
( 4
 
2.4%
상 4
 
2.4%
) 4
 
2.4%
지 4
 
2.4%
문 4
 
2.4%
석 4
 
2.4%
3 4
 
2.4%
교 4
 
2.4%
Other values (79) 120
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 145
88.4%
Space Separator 5
 
3.0%
Decimal Number 5
 
3.0%
Open Punctuation 4
 
2.4%
Close Punctuation 4
 
2.4%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 7
 
4.8%
상 4
 
2.8%
지 4
 
2.8%
문 4
 
2.8%
석 4
 
2.8%
교 4
 
2.8%
과 3
 
2.1%
천 3
 
2.1%
리 3
 
2.1%
무 3
 
2.1%
Other values (73) 106
73.1%
Decimal Number
ValueCountFrequency (%)
3 4
80.0%
2 1
 
20.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145
88.4%
Common 19
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 7
 
4.8%
상 4
 
2.8%
지 4
 
2.8%
문 4
 
2.8%
석 4
 
2.8%
교 4
 
2.8%
과 3
 
2.1%
천 3
 
2.1%
리 3
 
2.1%
무 3
 
2.1%
Other values (73) 106
73.1%
Common
ValueCountFrequency (%)
5
26.3%
( 4
21.1%
) 4
21.1%
3 4
21.1%
2 1
 
5.3%
- 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 145
88.4%
ASCII 19
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 7
 
4.8%
상 4
 
2.8%
지 4
 
2.8%
문 4
 
2.8%
석 4
 
2.8%
교 4
 
2.8%
과 3
 
2.1%
천 3
 
2.1%
리 3
 
2.1%
무 3
 
2.1%
Other values (73) 106
73.1%
ASCII
ValueCountFrequency (%)
5
26.3%
( 4
21.1%
) 4
21.1%
3 4
21.1%
2 1
 
5.3%
- 1
 
5.3%

지정년원일
Date

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum1973-07-10 00:00:00
Maximum2010-09-08 00:00:00
2023-12-13T03:06:16.684315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:06:16.822871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

소유자
Text

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T03:06:16.993123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.7272727
Min length2

Characters and Unicode

Total characters82
Distinct characters45
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

Unique9 ?
Unique (%)40.9%

Sample

1st row국가
2nd row김대균
3rd row연주암
4th row과천시
5th row연주암
ValueCountFrequency (%)
과천시 6
26.1%
연주암 4
17.4%
보광사 3
13.0%
국가 1
 
4.3%
김대균 1
 
4.3%
교육인적자원부 1
 
4.3%
임정자 1
 
4.3%
과천무동답교놀이보존회 1
 
4.3%
손종윤 1
 
4.3%
오은명 1
 
4.3%
Other values (3) 3
13.0%
2023-12-13T03:06:17.322201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 7
 
8.5%
천 7
 
8.5%
시 6
 
7.3%
연 4
 
4.9%
주 4
 
4.9%
암 4
 
4.9%
보 4
 
4.9%
교 3
 
3.7%
광 3
 
3.7%
사 3
 
3.7%
Other values (35) 37
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
98.8%
Space Separator 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 7
 
8.6%
천 7
 
8.6%
시 6
 
7.4%
연 4
 
4.9%
주 4
 
4.9%
암 4
 
4.9%
보 4
 
4.9%
교 3
 
3.7%
광 3
 
3.7%
사 3
 
3.7%
Other values (34) 36
44.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
98.8%
Common 1
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 7
 
8.6%
천 7
 
8.6%
시 6
 
7.4%
연 4
 
4.9%
주 4
 
4.9%
암 4
 
4.9%
보 4
 
4.9%
교 3
 
3.7%
광 3
 
3.7%
사 3
 
3.7%
Other values (34) 36
44.4%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
98.8%
ASCII 1
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 7
 
8.6%
천 7
 
8.6%
시 6
 
7.4%
연 4
 
4.9%
주 4
 
4.9%
암 4
 
4.9%
보 4
 
4.9%
교 3
 
3.7%
광 3
 
3.7%
사 3
 
3.7%
Other values (34) 36
44.4%
ASCII
ValueCountFrequency (%)
1
100.0%

주소
Text

MISSING 

Distinct12
Distinct (%)70.6%
Missing5
Missing (%)22.7%
Memory size308.0 B
2023-12-13T03:06:17.505154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length7
Mean length7.9411765
Min length6

Characters and Unicode

Total characters135
Distinct characters33
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)52.9%

Sample

1st row교육원로 86(국사편찬위원회)
2nd row자하동길 63
3rd row관악산길 58
4th row자하동길 63
5th row교육원로 41
ValueCountFrequency (%)
자하동길 5
13.9%
교육원로 5
13.9%
41 3
 
8.3%
63 3
 
8.3%
문원로 2
 
5.6%
관악산길 2
 
5.6%
58 2
 
5.6%
중앙동 2
 
5.6%
산 2
 
5.6%
114-1 1
 
2.8%
Other values (9) 9
25.0%
2023-12-13T03:06:17.820805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
14.1%
1 10
 
7.4%
로 8
 
5.9%
원 8
 
5.9%
4 7
 
5.2%
동 7
 
5.2%
길 7
 
5.2%
6 6
 
4.4%
8 5
 
3.7%
하 5
 
3.7%
Other values (23) 53
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 72
53.3%
Decimal Number 38
28.1%
Space Separator 19
 
14.1%
Dash Punctuation 4
 
3.0%
Close Punctuation 1
 
0.7%
Open Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 8
11.1%
원 8
11.1%
동 7
9.7%
길 7
9.7%
하 5
 
6.9%
자 5
 
6.9%
육 5
 
6.9%
교 5
 
6.9%
산 4
 
5.6%
문 3
 
4.2%
Other values (10) 15
20.8%
Decimal Number
ValueCountFrequency (%)
1 10
26.3%
4 7
18.4%
6 6
15.8%
8 5
13.2%
3 3
 
7.9%
0 2
 
5.3%
9 2
 
5.3%
5 2
 
5.3%
2 1
 
2.6%
Space Separator
ValueCountFrequency (%)
19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 72
53.3%
Common 63
46.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 8
11.1%
원 8
11.1%
동 7
9.7%
길 7
9.7%
하 5
 
6.9%
자 5
 
6.9%
육 5
 
6.9%
교 5
 
6.9%
산 4
 
5.6%
문 3
 
4.2%
Other values (10) 15
20.8%
Common
ValueCountFrequency (%)
19
30.2%
1 10
15.9%
4 7
 
11.1%
6 6
 
9.5%
8 5
 
7.9%
- 4
 
6.3%
3 3
 
4.8%
0 2
 
3.2%
9 2
 
3.2%
5 2
 
3.2%
Other values (3) 3
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 72
53.3%
ASCII 63
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
30.2%
1 10
15.9%
4 7
 
11.1%
6 6
 
9.5%
8 5
 
7.9%
- 4
 
6.3%
3 3
 
4.8%
0 2
 
3.2%
9 2
 
3.2%
5 2
 
3.2%
Other values (3) 3
 
4.8%
Hangul
ValueCountFrequency (%)
로 8
11.1%
원 8
11.1%
동 7
9.7%
길 7
9.7%
하 5
 
6.9%
자 5
 
6.9%
육 5
 
6.9%
교 5
 
6.9%
산 4
 
5.6%
문 3
 
4.2%
Other values (10) 15
20.8%

Correlations

2023-12-13T03:06:17.917536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분지정번호문화재명칭지정년원일소유자주소
구분1.0001.0001.0001.0000.8880.950
지정번호1.0001.0001.0001.0001.0001.000
문화재명칭1.0001.0001.0001.0001.0001.000
지정년원일1.0001.0001.0001.0000.7160.000
소유자0.8881.0001.0000.7161.0001.000
주소0.9501.0001.0000.0001.0001.000

Missing values

2023-12-13T03:06:14.796651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:06:14.937508image/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

구분지정번호문화재명칭지정년원일소유자주소
0국보248조선방역지도1989-08-01국가교육원로 86(국사편찬위원회)
1중요무형문화재58줄타기2000-07-22김대균<NA>
2경기도지정유형문화재81효령대군영정1978-10-10연주암자하동길 63
3경기도지정유형문화재100온온사1980-06-02과천시관악산길 58
4경기도지정유형문화재104연주암 3층 석탑1981-07-16연주암자하동길 63
5경기도지정유형문화재162보광사목조여래좌상1996-12-26보광사교육원로 41
6경기도지정유형문화재244추사 김정희서신(3종 23통)2010-09-08과천시관문로 69
7경기도지정기념물20연주대1973-07-10연주암자하동길 63
8경기도지정기념물190과천관악사지2003-04-21연주암자하동길 64
9경기도지정기념물191과천관악산육봉일명사지2003-04-21교육인적자원부중앙동 산 11
구분지정번호문화재명칭지정년원일소유자주소
12경기도지정무형문화재44-가무동답교놀이(태평소)2010-06-08손종윤<NA>
13경기도지정무형문화재44-나무동답교놀이(상쇠)2010-06-08오은명<NA>
14경기도지정무형문화재51양태장2010-06-08장정순<NA>
15경기도지정문화재자료9과천향교1975-02-05경기도 향교재단자하동길 18
16경기도지정문화재자료39문원리3층석탑1983-09-19보광사교육원로 41
17경기도지정문화재자료77문원리사지석조보살입상1989-06-01보광사교육원로 41
18과천시향토유적3효자최사립정문1998-01-12과천시문원로 40-2
19과천시향토유적4홍촌마애승상1998-01-12과천시교육원로 114-1
20과천시향토유적5역대현감비석군2009-11-09과천시관악산길 58
21과천시향토유적6마애명문 단하시경2009-11-09과천시중앙동 산 8-9