Overview

Dataset statistics

Number of variables6
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory54.3 B

Variable types

Text3
DateTime1
Categorical2

Dataset

Description울산광역시 중구에 소재한 유형, 무형 문화재 지정현황에 대한 데이터로 명칭 및 소재지, 지정일자 등의 정보를 제공합니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/3076647/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
명칭 has unique valuesUnique
종목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:36:37.564354
Analysis finished2023-12-12 09:36:38.017315
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T18:36:38.148166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length8.1904762
Min length4

Characters and Unicode

Total characters172
Distinct characters83
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

Unique21 ?
Unique (%)100.0%

Sample

1st row울산 경상좌도병영성
2nd row울산약사동제방
3rd row울산 구 삼호교
4th row최현배 의복
5th row울산동헌 및 내아
ValueCountFrequency (%)
백양사 5
 
12.8%
울산 2
 
5.1%
신중도 2
 
5.1%
울산왜성 1
 
2.6%
유허지 1
 
2.6%
외솔최현배선생생가터 1
 
2.6%
장도장 1
 
2.6%
모필장 1
 
2.6%
유곡동 1
 
2.6%
수운 1
 
2.6%
Other values (23) 23
59.0%
2023-12-12T18:36:38.459859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
13.4%
8
 
4.7%
7
 
4.1%
6
 
3.5%
6
 
3.5%
5
 
2.9%
5
 
2.9%
4
 
2.3%
4
 
2.3%
3
 
1.7%
Other values (73) 101
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
86.6%
Space Separator 23
 
13.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
5.4%
7
 
4.7%
6
 
4.0%
6
 
4.0%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.0%
3
 
2.0%
Other values (72) 98
65.8%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
86.6%
Common 23
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
5.4%
7
 
4.7%
6
 
4.0%
6
 
4.0%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.0%
3
 
2.0%
Other values (72) 98
65.8%
Common
ValueCountFrequency (%)
23
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
86.6%
ASCII 23
 
13.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
100.0%
Hangul
ValueCountFrequency (%)
8
 
5.4%
7
 
4.7%
6
 
4.0%
6
 
4.0%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.0%
3
 
2.0%
Other values (72) 98
65.8%

종목
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T18:36:38.641843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length14.714286
Min length8

Characters and Unicode

Total characters309
Distinct characters37
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

Unique21 ?
Unique (%)100.0%

Sample

1st row사적 제320호
2nd row사적 제528호
3rd row국가지정 등록문화재 제104호
4th row국가지정 등록문화재 제611호
5th row울산광역시 유형문화재 제1호
ValueCountFrequency (%)
울산광역시 17
27.9%
유형문화재 7
 
11.5%
문화재자료 4
 
6.6%
기념물 3
 
4.9%
등록문화재 2
 
3.3%
국가지정 2
 
3.3%
제1호 2
 
3.3%
제7호 2
 
3.3%
무형문화재 2
 
3.3%
제12호 2
 
3.3%
Other values (17) 18
29.5%
2023-12-12T18:36:38.959324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
12.9%
22
 
7.1%
21
 
6.8%
17
 
5.5%
17
 
5.5%
17
 
5.5%
17
 
5.5%
17
 
5.5%
16
 
5.2%
16
 
5.2%
Other values (27) 109
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
73.8%
Decimal Number 41
 
13.3%
Space Separator 40
 
12.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
9.6%
21
 
9.2%
17
 
7.5%
17
 
7.5%
17
 
7.5%
17
 
7.5%
17
 
7.5%
16
 
7.0%
16
 
7.0%
15
 
6.6%
Other values (16) 53
23.2%
Decimal Number
ValueCountFrequency (%)
1 12
29.3%
2 10
24.4%
0 4
 
9.8%
3 3
 
7.3%
7 3
 
7.3%
5 2
 
4.9%
8 2
 
4.9%
6 2
 
4.9%
4 2
 
4.9%
9 1
 
2.4%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
73.8%
Common 81
 
26.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
9.6%
21
 
9.2%
17
 
7.5%
17
 
7.5%
17
 
7.5%
17
 
7.5%
17
 
7.5%
16
 
7.0%
16
 
7.0%
15
 
6.6%
Other values (16) 53
23.2%
Common
ValueCountFrequency (%)
40
49.4%
1 12
 
14.8%
2 10
 
12.3%
0 4
 
4.9%
3 3
 
3.7%
7 3
 
3.7%
5 2
 
2.5%
8 2
 
2.5%
6 2
 
2.5%
4 2
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
73.8%
ASCII 81
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
49.4%
1 12
 
14.8%
2 10
 
12.3%
0 4
 
4.9%
3 3
 
3.7%
7 3
 
3.7%
5 2
 
2.5%
8 2
 
2.5%
6 2
 
2.5%
4 2
 
2.5%
Hangul
ValueCountFrequency (%)
22
9.6%
21
 
9.2%
17
 
7.5%
17
 
7.5%
17
 
7.5%
17
 
7.5%
17
 
7.5%
16
 
7.0%
16
 
7.0%
15
 
6.6%
Other values (16) 53
23.2%
Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T18:36:39.156578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length19.380952
Min length15

Characters and Unicode

Total characters407
Distinct characters56
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)47.6%

Sample

1st row울산광역시 중구 서동. 동동. 남외동 일원
2nd row울산광역시 중구 종가로 14길 22-28 (약사동)
3rd row울산광역시 중구 다운동 467번지외
4th row울산광역시 중구 병영 12길 15
5th row울산광역시 중구 동헌길 167
ValueCountFrequency (%)
울산광역시 21
23.1%
중구 21
23.1%
백양로 5
 
5.5%
67(백양사 5
 
5.5%
일원 3
 
3.3%
병영 2
 
2.2%
12길 2
 
2.2%
15 2
 
2.2%
동헌길 2
 
2.2%
167 2
 
2.2%
Other values (24) 26
28.6%
2023-12-12T18:36:39.529193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
17.2%
21
 
5.2%
21
 
5.2%
21
 
5.2%
21
 
5.2%
21
 
5.2%
21
 
5.2%
21
 
5.2%
1 14
 
3.4%
13
 
3.2%
Other values (46) 163
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 253
62.2%
Space Separator 70
 
17.2%
Decimal Number 61
 
15.0%
Open Punctuation 8
 
2.0%
Close Punctuation 8
 
2.0%
Dash Punctuation 5
 
1.2%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
13
 
5.1%
10
 
4.0%
10
 
4.0%
Other values (31) 73
28.9%
Decimal Number
ValueCountFrequency (%)
1 14
23.0%
2 10
16.4%
7 10
16.4%
6 9
14.8%
3 6
9.8%
4 4
 
6.6%
5 4
 
6.6%
0 2
 
3.3%
9 1
 
1.6%
8 1
 
1.6%
Space Separator
ValueCountFrequency (%)
70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 253
62.2%
Common 154
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
13
 
5.1%
10
 
4.0%
10
 
4.0%
Other values (31) 73
28.9%
Common
ValueCountFrequency (%)
70
45.5%
1 14
 
9.1%
2 10
 
6.5%
7 10
 
6.5%
6 9
 
5.8%
( 8
 
5.2%
) 8
 
5.2%
3 6
 
3.9%
- 5
 
3.2%
4 4
 
2.6%
Other values (5) 10
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 253
62.2%
ASCII 154
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
45.5%
1 14
 
9.1%
2 10
 
6.5%
7 10
 
6.5%
6 9
 
5.8%
( 8
 
5.2%
) 8
 
5.2%
3 6
 
3.9%
- 5
 
3.2%
4 4
 
2.6%
Other values (5) 10
 
6.5%
Hangul
ValueCountFrequency (%)
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
21
 
8.3%
13
 
5.1%
10
 
4.0%
10
 
4.0%
Other values (31) 73
28.9%
Distinct14
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum1987-07-18 00:00:00
Maximum2022-01-13 00:00:00
2023-12-12T18:36:39.648265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:36:39.768309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

문의처
Categorical

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
052-290-3650
15 
052-243-8712
052-229-4727
 
1
052-243-0129
 
1

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row052-290-3650
2nd row052-229-4727
3rd row052-290-3650
4th row052-290-3650
5th row052-290-3650

Common Values

ValueCountFrequency (%)
052-290-3650 15
71.4%
052-243-8712 4
 
19.0%
052-229-4727 1
 
4.8%
052-243-0129 1
 
4.8%

Length

2023-12-12T18:36:39.953123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:36:40.091953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-290-3650 15
71.4%
052-243-8712 4
 
19.0%
052-229-4727 1
 
4.8%
052-243-0129 1
 
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-09-16
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-16
2nd row2023-09-16
3rd row2023-09-16
4th row2023-09-16
5th row2023-09-16

Common Values

ValueCountFrequency (%)
2023-09-16 21
100.0%

Length

2023-12-12T18:36:40.245513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:36:40.402826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-16 21
100.0%

Correlations

2023-12-12T18:36:40.495797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
명칭종목소재지지정일자문의처
명칭1.0001.0001.0001.0001.000
종목1.0001.0001.0001.0001.000
소재지1.0001.0001.0000.9560.958
지정일자1.0001.0000.9561.0000.722
문의처1.0001.0000.9580.7221.000

Missing values

2023-12-12T18:36:37.838135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:36:37.969839image/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

명칭종목소재지지정일자문의처데이터기준일자
0울산 경상좌도병영성사적 제320호울산광역시 중구 서동. 동동. 남외동 일원1987-07-18052-290-36502023-09-16
1울산약사동제방사적 제528호울산광역시 중구 종가로 14길 22-28 (약사동)2014-09-16052-229-47272023-09-16
2울산 구 삼호교국가지정 등록문화재 제104호울산광역시 중구 다운동 467번지외2004-09-04052-290-36502023-09-16
3최현배 의복국가지정 등록문화재 제611호울산광역시 중구 병영 12길 152014-10-29052-290-36502023-09-16
4울산동헌 및 내아울산광역시 유형문화재 제1호울산광역시 중구 동헌길 1671997-10-09052-290-36502023-09-16
5울산향교울산광역시 유형문화재 제7호울산광역시 중구 명륜로 117(교동)1997-10-09052-243-01292023-09-16
6효자송도선생정려비울산광역시 유형문화재 제10호울산광역시 중구 동헌길 1671998-10-19052-290-36502023-09-16
7백양사 석조아미타삼존불좌상울산광역시 유형문화재 제25호울산광역시 중구 백양로 67(백양사)2013-08-16052-243-87122023-09-16
8백양사 아미타삼존후불홍탱울산광역시 유형문화재 제26호울산광역시 중구 백양로 67(백양사)2013-08-16052-243-87122023-09-16
9백양사 신중도울산광역시 유형문화재 제27호울산광역시 중구 백양로 67(백양사)2013-08-16052-243-87122023-09-16
명칭종목소재지지정일자문의처데이터기준일자
11다운동고분군울산광역시 기념물 제11호울산광역시 중구 다운7길 일원1997-10-09052-290-36502023-09-16
12수운 최제우 유허지울산광역시 기념물 제12호울산광역시 중구 원유곡길 1061997-10-09052-290-36502023-09-16
13외솔최현배선생생가터울산광역시 기념물 제29호울산광역시 중구 병영 12길 152001-12-20052-290-36502023-09-16
14장도장울산광역시 무형문화재 제1호울산광역시 중구 옥교동 233-21997-10-09052-290-36502023-09-16
15모필장울산광역시 무형문화재 제3호울산광역시 중구 옥교동 233-22004-12-16052-290-36502023-09-16
16울산왜성울산광역시 문화재자료 제7호울산광역시 중구 학성공원 3길 541997-10-30052-290-36502023-09-16
17유곡동 공룡 발자국 화석울산광역시 문화재자료 제12호울산광역시 중구 유곡동 54-1번지 일원2000-11-09052-290-36502023-09-16
18해남사 신중도울산광역시 문화재자료 제21호울산광역시 중구 기상대길132011-12-29052-290-36502023-09-16
19백양사 칠성각울산광역시 문화재자료 제30호울산광역시 중구 백양로 67(백양사)2017-10-13052-290-36502023-09-16
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